Estratégia
ETH DCA Strategy [3Commas & Quantpilot]ETH DCA RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ETH / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 36 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (4.5%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 36, and the take-profit moved from 3% to 4.5%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +5,790.33 USDT (+5.79%), Max Drawdown 3.83%, 93 closed trades, 68.82% profitable, Profit Factor 5.019.
- Optimized (RSI < 36, TP 4.5%): Net +14,518.03 USDT (+14.52%), Max Drawdown 4.41%, 134 closed trades, 71.64% profitable, Profit Factor 7.513.
The result: net profit roughly 2.5× higher (+5.79% → +14.52%), profit factor up from 5.0 to 7.5, win rate up from 69% to 72%, and the trade count rose from 93 to 134. The looser RSI entry (36) lets the strategy engage the dip earlier and more often, while the wider 4.5% target lets each recovery run further before the position is banked; the trade-off is a modestly higher drawdown (3.83% → 4.41%). The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating ETH on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 36 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 4.5% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (36) and take-profit (4.5%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume: The optimized configuration produced 134 closed trades over ~30 months (93 on the baseline) — above the ~100-trade threshold commonly used as a floor for statistical relevance, which lends more weight to the win rate and profit factor than a smaller sample would. Still, past results do not guarantee future performance.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ETH trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ETHUSDT.P (Perpetual) — strategy is portable to any ETH / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 36 (optimizer-tuned from 28).
Take Profit: 4.5% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 36, TP 4.5%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +14,518.03 USDT (+14.52%)
Max Equity Drawdown: 4,939.51 USDT (4.41%)
Total Closed Trades: 134
Percent Profitable: 71.64% (96 / 134)
Profit Factor: 7.513
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +5,790.33 USDT (+5.79%)
Max Equity Drawdown: 3,976.44 USDT (3.83%)
Total Closed Trades: 93
Percent Profitable: 68.82% (64 / 93)
Profit Factor: 5.019
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 36), the five AO deviations and sizes, and the Take Profit (default 4.5%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 4.41%. The 134-trade sample is above the ~100-trade floor for statistical relevance, though optimized parameters still carry in-sample bias — re-validate on fresh data.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 36 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 4.5%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
SOL RSI DCA Strategy [3Commas & QuantPilot]SOL RSI DCA Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for SOL / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 33 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (4%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 33, and the take-profit moved from 3% to 4%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +5,178.77 USDT (+5.18%), Max Drawdown 5.53%, 77 closed trades, 67.53% profitable, Profit Factor 4.582.
- Optimized (RSI < 33, TP 4%): Net +10,399.80 USDT (+10.40%), Max Drawdown 5.32%, , , .
The result: net profit roughly 2× higher (+5.18% → +10.40%), while maximum drawdown actually eased slightly (5.53% → 5.32%). The looser RSI entry (33) lets the strategy engage the dip earlier and more often, while the wider 4% target lets each recovery run a little further before the position is banked. The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating SOL on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 33 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 4% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (33) and take-profit (4%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The baseline produced 77 closed trades over ~30 months; the optimized configuration is in the same range. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If SOL trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:SOLUSDT.P (Perpetual) — strategy is portable to any SOL / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 33 (optimizer-tuned from 28).
Take Profit: 4% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 33, TP 4%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +10,399.80 USDT (+10.40%)
Max Equity Drawdown: 5,751.73 USDT (5.32%)
Total Closed Trades:
Percent Profitable:
Profit Factor:
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +5,178.77 USDT (+5.18%)
Max Equity Drawdown: 5,748.16 USDT (5.53%)
Total Closed Trades: 77
Percent Profitable: 67.53% (52 / 77)
Profit Factor: 4.582
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 33), the five AO deviations and sizes, and the Take Profit (default 4%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.32%. Keep in mind the trade sample is below the ~100-trade floor for statistical confidence, and the profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 33 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 4%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
BTC DCA Strategy [3Commas & QuantPilot]BTC Smart DCA Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for BTC / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 38 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (5.5%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 38, and the take-profit moved from 3% to 5.5%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +3,078.29 USDT (+3.08%), Max Drawdown 3.79%, 62 closed trades, 70.97% profitable, Profit Factor 4.028.
- Optimized (RSI < 38, TP 5.5%): Net +9,250.25 USDT (+9.25%), Max Drawdown 3.67%, 93 closed trades, 76.34% profitable, Profit Factor 10.454.
The result: net profit roughly 3× higher (+3.08% → +9.25%), profit factor up from 4.0 to 10.5, win rate up from 71% to 76% — all while maximum drawdown stayed essentially flat (3.79% → 3.67%). The looser RSI entry (38) lets the strategy engage the dip earlier and more often, while the wider 5.5% target lets each recovery run further before the position is banked. The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating BTC on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 38 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 5.5% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (38) and take-profit (5.5%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Near the Statistical Floor: The optimized configuration produced 93 closed trades over ~30 months (62 on the baseline). This is approaching but still below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:BTCUSDT.P (Perpetual) — strategy is portable to any BTC / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 17, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 38 (optimizer-tuned from 28).
Take Profit: 5.5% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 38, TP 5.5%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +9,250.25 USDT (+9.25%)
Max Equity Drawdown: 3,980.36 USDT (3.67%)
Total Closed Trades: 93
Percent Profitable: 76.34% (71 / 93)
Profit Factor: 10.454
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +3,078.29 USDT (+3.08%)
Max Equity Drawdown: 3,852.12 USDT (3.79%)
Total Closed Trades: 62
Percent Profitable: 70.97% (44 / 62)
Profit Factor: 4.028
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 38), the five AO deviations and sizes, and the Take Profit (default 6%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 3.67%. Keep in mind the 93-trade sample is just below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 38 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 5.5%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
INJ DCA Long Strategy [3Commas & QuantPilot]INJ DCA Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for INJ / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (9%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 The one change that mattered — Take Profit tuning:
This strategy started from a baseline configuration with a 3% fixed take-profit. Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, the take-profit parameter was swept and the best-performing value landed at 9%. Nothing else was touched — same RSI entry, same five-order ladder, same deviations, same 1.8× sizing, same fees. Only the Take Profit input changed from 3% to 9%.
- Baseline (Take Profit 3%): Net +6,888.76 USDT (+6.89%), Max Drawdown 4.39%, 84 closed trades, 71.43% profitable, Profit Factor 4.925.
- Optimized (Take Profit 9%): Net +15,830.72 USDT (+15.83%), Max Drawdown 5.65%, 90 closed trades, 82.22% profitable, Profit Factor 17.886.
Widening the target lets each recovery run further before the position is banked, capturing the fuller mean-reversion bounce instead of exiting on the first small pop. The trade-off is a modestly higher drawdown (4.39% → 5.65%) and longer average hold time. The published defaults use the optimized 9% value; the baseline metrics are shown here purely so the effect of the single parameter change is transparent.
🔷 Who is it for:
- Swing traders accumulating INJ on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 9% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Exit: The 9% take-profit is not an arbitrary round number — it is the value the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The 9% take-profit was selected by sweeping the parameter over the same historical window shown in the results. A value that was best in-sample is not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The optimized configuration produced 90 closed trades over ~30 months (84 on the baseline). Both are below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If INJ trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. A wider 9% target also means positions are held longer, so the grid can sit loaded through deeper dips before the exit is reached.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:INJUSDT.P (Perpetual) — strategy is portable to any INJ / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 16, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 9% above average entry (optimizer-tuned from a 3% baseline).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — Take Profit 9%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +15,830.72 USDT (+15.83%)
Max Equity Drawdown: 6,426.47 USDT (5.65%)
Total Closed Trades: 90
Percent Profitable: 82.22% (74 / 90)
Profit Factor: 17.886
🔷 STRATEGY RESULTS (Baseline — Take Profit 3%, for comparison)
Net Profit: +6,888.76 USDT (+6.89%)
Max Equity Drawdown: 4,429.13 USDT (4.39%)
Total Closed Trades: 84
Percent Profitable: 71.43% (60 / 84)
Profit Factor: 4.925
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the Take Profit (default 9%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.65%. Keep in mind the 90-trade sample is below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes (default 9%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
SOL RSI Strategy [3Commas]SOL RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for SOL / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating SOL on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 77 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If SOL trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 5.53% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within SOL's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:SOLUSDT.P (Perpetual) — strategy is portable to any SOL / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 13, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +5,178.77 USDT (+5.18%)
Max Equity Drawdown: 5,748.16 USDT (5.53%)
Total Closed Trades: 77
Percent Profitable: 67.53% (52 / 77)
Profit Factor: 4.582
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 5.53%. Keep in mind the 77-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
GRAM RSI Strategy [3Commas]GRAM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for GRAM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
Single entry filter: 4h RSI(14) below 28 (deep oversold).
Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
Fixed take-profit on the blended average entry; no trailing, no stop loss.
Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
Swing traders accumulating GRAM on deep RSI flushes rather than chasing momentum.
Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 78 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If GRAM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 2.21% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within GRAM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: GRAM / USDT — strategy is portable to any GRAM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 3, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,822.76 USDT (+3.82%)
Max Equity Drawdown: 2,283.04 USDT (2.21%)
Total Closed Trades: 78
Percent Profitable: 69.23% (54 / 78)
Profit Factor: 4.791
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 2.21%. Keep in mind the 78-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
RSI Core Levels Heatmap [BigBeluga]🔵 OVERVIEW
The RSI Core Levels Heatmap turns the standard Relative Strength Index (RSI) indicator into powerful support and resistance lines drawn directly on your main price chart. Instead of forcing you to constantly look down at a separate oscillator window, this script automatically finds hidden momentum levels and projects them right where you trade, helping you spot key reversal floors and ceilings instantly.
🔵 FEATURES
The system uses a smart layout tracking engine to map momentum without cluttering your screen:
1 — Momentum-Mapped Support & Resistance Lines
Signal Line Crossover Alerts: The indicator tracks momentum changes using a smooth Signal Line Length . When the raw RSI line crosses above or below this signal line, it triggers a setup.
Smart Price Capture: The moment a crossover happens, the engine looks back at the last 10 candles. If it is a bullish bounce, it finds the low price; if it is a bearish drop, it grabs the high price.
Direct Chart Overlay: It takes those key prices and draws clean support or resistance lines right on your main chart with clear labels.
2 — No-Clutter Overlap Protection Logic
Collision Checker: To stop your chart from looking like a messy spiderweb, the indicator checks if a new line is being drawn too close to an old one.
Duplicate Blocking: If a new level lands directly on top of an existing active zone, the script blocks it automatically to keep your trading area perfectly clean.
// Strict Collision Box Overlap Detection Matrix
is_overlapping_existing_block(high_val, low_val) =>
overlap = false
if array.size(activeBlocks) > 0
for i = 0 to array.size(activeBlocks) - 1
BlockLevel item = array.get(activeBlocks, i)
if (high_val <= item.topPrice and high_val >= item.botPrice) or (low_val >= item.botPrice and low_val <= item.topPrice) or (high_val >= item.topPrice and low_val <= item.botPrice)
overlap := true
break
overlap
3 — Active Line Lifecycle & FIFO System
Automatic Extension: All active, unbroken support and resistance lines automatically stretch forward on every new candle so they stay fresh.
Broken Line Changes: When price actions breaks through a line, the script instantly changes its style to a thin, grey dashed line and stops tracking it. This shows you exactly where historical levels failed.
Levels Heat Color: Each support and resistance level color intense is based on the rsi value at the moment level was created.
FIFO (First-In, First-Out) Lag Protection: To keep your TradingView running fast without any lag, you can set a Max Active Levels & Labels limit. When you reach this cap, the oldest lines drop off the chart first (First-In, First-Out) to make room for new ones.
// Object Array State Lifecycle Management Snippet
if array.size(activeBlocks) > 0
for i = array.size(activeBlocks) - 1 to 0
BlockLevel item = array.get(activeBlocks, i)
bool broken = item.isBull ? (close < item.botPrice) : (close > item.topPrice)
if broken
label.delete(item.lvlLabel)
line.set_style(item.lvlLine, line.style_dashed)
line.set_color(item.lvlLine, color.gray)
line.set_width(item.lvlLine, 1)
array.remove(activeBlocks, i)
else
line.set_x2(item.lvlLine, bar_index)
label.set_x(item.lvlLabel, bar_index)
4 — Gradient Heatmap Ribbon & Proximity Dashboard
Color-Changing Ribbon blocks: The bottom sub-pane features a smooth gradient ribbon that tracks market extremes. It lights up bright green during deep oversold conditions, bright red when overbought, and turns yellow during tight consolidations ( Show Midline Squeeze Zone ).
Distance Telemetry HUD Table: A clean on-screen table calculates exactly how close the current price is to your nearest active support or resistance level in points and exact percentages.
🔵 HOW TO USE
Using this simple multi-layer blueprint helps you manage setups step-by-step:
Trading Reversals and Bounces: Watch the chart when price falls down toward a green support line. If the Dashboard Table shows the distance getting very close to 0% and the bottom ribbon is flashing deep green (oversold), look for a long bounce trade off the level.
Managing Risk and Trailing Stops: If you enter long at a support line, use that level as your risk floor. If price flushes below it, the indicator will instantly turn the line grey and dashed, letting you know the setup is invalid and it is time to cut the trade.
Spotting Squeeze Breakouts: When the bottom ribbon stays yellow, it means the market is squeezing sideways. Watch your distance dashboard closely; when price breaks out of the squeeze and flies toward your outer lines, you can ride the explosive momentum expansion.
🔵 NOTES
Why this implementation is unique:
It saves screen space by turning abstract momentum data from an oscillator below into highly accurate, tradeable price targets up on your main chart.
The overlap blocker prevents multiple lines from bunching together, keeping your chart clean and easy to read.
The automated FIFO memory cleaning system makes sure the script stays fast and lightweight, no matter how many bars are loaded on your chart.
Indicador
Crypto Market RSI Heatmap [BigBeluga]🔵 OVERVIEW
The Crypto Market RSI Heatmap is a comprehensive, institutional-grade sector momentum matrix built for TradingView. It consolidates relative strength metrics for up to 20 cross-sectional crypto assets into a single, highly readable multi-group pane. Instead of forcing you to open dozens of browser tabs or flip back and forth between charts, this system runs concurrent structural background queries to map real-time market overbought expansions and oversold depressions using an advanced, color-gradient visual framework.
🔵 FEATURES
The indicator tracks cross-asset momentum cycles through an isolated data processing engine:
1 — Multi-Asset Matrix Architecture
Modular Asset Grouping: Assets are automatically split into 4 distinct structural sectors (Group A through Group D). Each section handles up to 5 completely customizable tickers, allowing you to organize setups by Layer 1s, DeFi, Memes, or Major pairs.
Independent Timeframe Anchors: Every group has an isolated execution timeframe filter ( Timeframe ). This allows you to monitor short-term scalping momentum in one sector while simultaneously tracking macroscopic daily trend structures in another.
Dynamic Highlight Tracking: The background matrix scans the active workspace. The exact asset loaded on your current open chart is highlighted with a custom accent marker ( Current Chart Asset Highlight ) so you never lose your visual anchor.
2 — Momentum Filters & Statistical Computations
Flexible Core Oscillators: The engine isn't limited to standard RSI calculations. Users can instantly toggle between a classic Relative Strength Index, Money Flow Index (MFI) to capture volume distribution, or a fast-response Stochastic RSI.
Group Average Horizon Lines: Dotted real-time horizontal baselines calculate the mean historical mathematical score of each active group, providing an instant look at overall sector health.
Real-Time Cluster Stats: A live sub-label maps out the active average, minimum, and maximum value points for every cluster directly across the base of the indicator workspace.
// 3-Point Color Gradient Engine & Highlighting Mechanism
color dynamicCoinColor = colorMidYel
if coinRSI >= 50.0
dynamicCoinColor := color.from_gradient(coinRSI, 50.0, 75.0, colorMidYel, colorMaxRed)
else
dynamicCoinColor := color.from_gradient(coinRSI, 25.0, 50.0, colorMaxGrn, colorMidYel)
bool isActiveChartAsset = str.contains(str.split(symbol, ":").last(), syminfo.ticker)
if isActiveChartAsset
dynamicCoinColor := colorActive
🔵 HOW TO USE
Using the system to gauge sector rotation requires a systematic analysis flow:
Evaluating Sector Divergences: Monitor the separate group structures to identify relative market leaders and laggards. When Group A’s average baseline pushes deeply into the upper red expansion zone while Group B remains pinned inside the lower green oversold region, money is explicitly rotating out of one pocket and into the other.
Tracking Active Momentum Continuations: Watch the trailing dashed historical lines to catch velocity expansions. Assets that break heavily out of the neutral 50 level and carry an institutional-grade gradient color shift provide high-probability breakout opportunities.
Isolating Market Anomalies: Use the bottom statistics panel to hunt down structural outliers. If a major sector average is floating heavily at a overbought 75 reading, but an individual coin within that exact cluster is sitting at a depressed 35 minimum level, you have found an inefficiencies setup.
🔵 NOTES
Why this implementation is unique:
It completely replaces standard, bulky multi-pane monitor clusters by arranging up to 20 assets side-by-side using a clean, space-staggered horizontal charting layout.
The dual-layer label framework overlays readable ticker identifiers directly on top of real-time momentum tracking nodes, preserving chart real estate without sacrificing readability.
It bridges standard price-derived momentum structures with user-defined asset lists, creating a bespoke internal crypto index tracking workspace.
Indicador
HBAR RSI Indicator [3Commas]HBAR RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on HBAR / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating HBAR on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One TradingView alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If HBAR trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (81 closed trades, 82.72% win rate, 0.92% max drawdown, profit factor 11.248, +3.90% net return over January 1, 2024 – July 2, 2026), use the companion strategy version on identical parameters. Note the 81-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics, including the high profit factor, as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h HBAR / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_HBAR).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
HBAR RSI Strategy [3Commas]HBAR Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for HBAR / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating HBAR on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 81 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If HBAR trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 0.92% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within HBAR's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:HBARUSDT.P (Perpetual) — strategy is portable to any HBAR / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,902.32 USDT (+3.90%)
Max Equity Drawdown: 938.07 USDT (0.92%)
Total Closed Trades: 81
Percent Profitable: 82.72% (67 / 81)
Profit Factor: 11.248
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached just 0.92%. Keep in mind the 81-trade sample is below the ~100-trade floor for statistical confidence, and the 11.248 profit factor reflects that small, favorable sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
BTC RSI Indicator [3Commas]BTC RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on BTC / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
Single entry filter: 4h RSI(14) below 28 (deep oversold).
Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
Fixed take-profit on the blended average entry; no trailing, no stop loss.
Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
Swing traders accumulating BTC on deep RSI flushes who want a chart-driven signal source.
Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One TradingView alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (62 closed trades, 70.97% win rate, 3.79% max drawdown, profit factor 4.028, +3.08% net return over January 1, 2024 – June 29, 2026), use the companion strategy version on identical parameters. Note the 62-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h BTC / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_BTC).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
BTC RSI Strategy [3Commas]BTC RSI Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for BTC / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating BTC on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 62 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low — and BTC is less volatile than smaller alts, so deep flushes below the entry threshold are relatively rare.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 3.79% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within BTC's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:BTCUSDT.P (Perpetual) — strategy is portable to any BTC / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 29, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,078.29 USDT (+3.08%)
Max Equity Drawdown: 3,852.12 USDT (3.79%)
Total Closed Trades: 62
Percent Profitable: 70.97% (44 / 62)
Profit Factor: 4.028
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 3.79%. Keep in mind the 62-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
XRP RSI Indicator [3Commas]XRP RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on XRP / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating XRP on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One TradingView alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If XRP trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (75 closed trades, 76.00% win rate, 1.00% max drawdown, profit factor 13.058, +3.45% net return over January 1, 2024 – June 29, 2026), use the companion strategy version on identical parameters. Note the 75-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics, including the high profit factor, as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h XRP / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_XRP).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
ETH RSI Indicator [3Commas]ETH RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on ETH / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating ETH on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One TradingView alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ETH trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (93 closed trades, 68.82% win rate, 3.83% max drawdown, profit factor 5.019, +5.79% net return over January 1, 2024 – June 28, 2026), use the companion strategy version on identical parameters. Note the 93-trade sample is just below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h ETH / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ETH).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
ETH RSI Strategy [3Commas]ETH RSI Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ETH / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating ETH on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 93 closed trades over ~30 months. This is just below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ETH trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 3.83% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within ETH's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ETHUSDT.P (Perpetual) — strategy is portable to any ETH / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 28, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +5,790.33 USDT (+5.79%)
Max Equity Drawdown: 3,976.44 USDT (3.83%)
Total Closed Trades: 93
Percent Profitable: 68.82% (64 / 93)
Profit Factor: 5.019
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 3.83%. Keep in mind the 93-trade sample is just below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
ATOM RSI Indicator [3Commas]ATOM RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on ATOM / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating ATOM on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One TradingView alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ATOM trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (84 closed trades, 70.24% win rate, 4.57% max drawdown, profit factor 3.417, +4.74% net return over January 1, 2024 – June 24, 2026), use the companion strategy version on identical parameters. Note the 84-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h ATOM / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ATOM).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
ATOM RSI Strategy [3Commas]ATOM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ATOM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating ATOM on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 84 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ATOM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 4.57% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within ATOM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ATOMUSDT.P (Perpetual) — strategy is portable to any ATOM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 24, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +4,739.50 USDT (+4.74%)
Max Equity Drawdown: 4,608.66 USDT (4.57%)
Total Closed Trades: 84
Percent Profitable: 70.24% (59 / 84)
Profit Factor: 3.417
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 4.57%. Keep in mind the 84-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
JUP RSI Long Indicator [3Commas]JUP RSI Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a JUP dip-buying workflow with a scaling safety-order ladder. It tracks one virtual long position at a time, opened only when JUP prints a deep oversold reading on 4-hour RSI. Five safety orders fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung. Exit is a fixed 3% Take Profit from average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Selective oversold entry: 4h RSI < 28.
- Non-uniform fixed-deviation safety ladder: −2%, −5%, −9.5%, −16%, −25% from base entry.
- 1.8× scaling safety-order sizes: 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT from a $500 base.
- Tight 3% Take Profit from the averaged-down entry — quick deal close once price stabilizes.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders running a DCA Bot on JUP who want to buy deep oversold dips.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Entry: When the gate is satisfied, the indicator marks a virtual long entry, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After base fill, the indicator monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fills at close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. USDT sizes scale 1.8× from a 900 first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448. Each fill updates the running cost-basis and dispatches its own webhook payload.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Lifetime Total PnL: When the position closes for profit, the realized PnL from that cycle accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across the chart history).
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the close webhook fires, realized PnL accumulates, and the virtual position resets.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCA tools use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — Open resets per cycle, Total persists across the entire chart history. The indicator gives strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to seven discrete events per cycle (entry + 5 AO fills + TP), each with its own JSON alert payload. One TradingView alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 83 closed trades over a ~29-month window — below the ≥100 floor typically used for statistical confidence. The high win rate and profit factor reflect favorable conditions and the averaging mechanic, not a deterministic edge. Treat them as indicative, not a forward-performance guarantee.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of the default reference equity. The scaling ladder amplifies both upside on recovery and risk if the lower bound breaks. Match the indicator's per-AO allocation to your bot's configuration to keep the avg-entry display honest.
No Stop Loss: There is no exit signal on adverse moves below AO5 (−25% from base). If price keeps falling, the virtual position holds unhedged until either price recovers to the 3% TP target or the user intervenes. Risk is structurally capped on the bot side by the bounded position ladder; if a hard exchange-side stop is required, configure it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. JUP is a high-volatility asset; a sustained directional collapse below −25% leaves the full virtual position open with no further averaging available — the single largest risk in any martingale DCA.
Cross Detection Granularity: Entries and AO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter in the status table gives a running approximation. For full metrics over a ~29-month sample (83 closed trades, 69.88% win rate, 1.55% max drawdown, profit factor 5.655, +3.99% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 4h JUP / USDT chart.
🔸 Review the RSI entry level, the five AO deviations and sizes, and the Take Profit percentage. Defaults are calibrated for JUP 4h — recalibrate when the asset's volatility regime shifts.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the indicator's avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_JUP).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and TP exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): Virtual USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above the running average entry where the virtual long closes.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
JUP RSI Long Strategy [3Commas]JUP RSI Long Strategy
🔷 What it does:
This is a long-only DCA strategy with a selective oversold entry and a scaling safety-order ladder. A long entry opens only when the 4-hour RSI falls below 28 (deep oversold). Five safety orders then fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base). Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to five safety orders on a non-uniform fixed-deviation ladder reaching −25% below base.
- Size scaling 1.8× per rung — aggressive enough to pull the average down hard, softer than a 2× doubling martingale.
- Tight 3% Take Profit from average entry — the averaging ladder pulls the average down so a small recovery closes the deal in profit.
- Single entry filter: deeply oversold 4h RSI — a clean, selective trigger.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders looking for long exposure on JUP when it prints deep oversold readings on the 4h.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Order: Sized at 500 USDT default (0.5% of 100k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After the base fill, the strategy monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fires when close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. Sizes scale 1.8× from a 900 USDT first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss.
Why the Ladder Works: Each scaling safety order weights the average entry toward the lowest fills. After several rungs fill, the average sits well below base, so a modest 3% bounce off the lows is enough to close the whole deal in profit — the core mechanic of a DCA bot.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity rather than ~31%.
- Tight Recovery Target: The 3% Take Profit on the averaged-down entry closes deals quickly once price stabilizes, keeping the win rate high and holding times short relative to the depth of the ladder.
- DCA Bot Integration: Every event (base, AO 1–5, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 83 closed trades — below the ≥100 floor typically used for statistical confidence. The 69.88% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat these numbers as indicative of how the ladder behaves, not a forward-performance guarantee. Extend the test window or run the strategy across multiple assets to build a larger sample before committing capital.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of default 100k equity — above TradingView's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The scaling ladder amplifies both upside (when price recovers) and risk (if the lower bound breaks).
No Stop Loss: There is no exit on adverse moves below the −25% AO5. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 3% TP target or the user intervenes. The structural risk cap is the bounded 5-rung position ladder; if a hard exchange-side stop is required, layer it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. JUP is a high-volatility asset; a sustained directional collapse below −25% leaves the full position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Commission Calibration: The default 0.06% commission is calibrated for perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:JUPUSDT.P (Perpetual) — portable to any JUP / USDT pair.
Timeframe: 4H
Test Period: January 31, 2024 — June 25, 2026 (~29 months).
Initial Capital: 100,000 USDT.
Order Size per Trade: 0.5% of Capital base + 5 safety orders with 1.8× size scaling.
Max Capital Deployed: ~$20,633 per trade (~20.6% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Market by default (Limit toggle available).
Take Profit: 3.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 4h RSI(14) Less Than 28.
Safety Orders: 5 with fixed deviations −2% / −5% / −9.5% / −16% / −25% from base entry; sizes 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT (1.8× scaling).
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,990.21 USDT (+3.99%)
Max Equity Drawdown: 1,573.79 USDT (1.55%)
Total Closed Trades: 83
Percent Profitable: 69.88% (58 / 83)
Profit Factor: 5.655
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the five AO deviations and sizes, the RSI entry level, and the Take Profit percentage. Defaults are calibrated for JUP 4h — recalibrate when the asset's volatility regime shifts.
🔸 Results Review: The backtest produced 83 closed trades over ~29 months — below the ~100-trade floor for statistical relevance. Treat the metrics as indicative of the ladder's behavior; a larger sample increases confidence. Confirm that the trade frequency and the ladder's max deployment fit your risk tolerance before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
POL RSI Long Indicator [3Commas]POL RSI Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a POL dip-buying workflow with a scaling safety-order ladder. It tracks one virtual long position at a time, opened only when POL prints a deep oversold reading on 4-hour RSI. Five safety orders fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung. Exit is a fixed 3% Take Profit from average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Selective oversold entry: 4h RSI < 28.
- Non-uniform fixed-deviation safety ladder: −2%, −5%, −9.5%, −16%, −25% from base entry.
- 1.8× scaling safety-order sizes: 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT from a $500 base.
- Tight 3% Take Profit from the averaged-down entry — quick deal close once price stabilizes.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders running a DCA Bot on POL who want to buy deep oversold dips.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Entry: When the gate is satisfied, the indicator marks a virtual long entry, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After base fill, the indicator monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fills at close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. USDT sizes scale 1.8× from a 900 first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448. Each fill updates the running cost-basis and dispatches its own webhook payload.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Lifetime Total PnL: When the position closes for profit, the realized PnL from that cycle accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across the chart history).
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the close webhook fires, realized PnL accumulates, and the virtual position resets.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCA tools use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — Open resets per cycle, Total persists across the entire chart history. The indicator gives strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to seven discrete events per cycle (entry + 5 AO fills + TP), each with its own JSON alert payload. One TradingView alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 72 closed trades over a ~21-month window — below the ≥100 floor typically used for statistical confidence. The high win rate and profit factor reflect favorable conditions and the averaging mechanic, not a deterministic edge. Treat them as indicative, not a forward-performance guarantee.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of the default reference equity. The scaling ladder amplifies both upside on recovery and risk if the lower bound breaks. Match the indicator's per-AO allocation to your bot's configuration to keep the avg-entry display honest.
No Stop Loss: There is no exit signal on adverse moves below AO5 (−25% from base). If price keeps falling, the virtual position holds unhedged until either price recovers to the 3% TP target or the user intervenes. Risk is structurally capped on the bot side by the bounded position ladder; if a hard exchange-side stop is required, configure it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. POL is a high-volatility asset; a sustained directional collapse below −25% leaves the full virtual position open with no further averaging available — the single largest risk in any martingale DCA.
Cross Detection Granularity: Entries and AO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter in the status table gives a running approximation. For full metrics over a ~21-month sample (72 closed trades, 72.22% win rate, 0.94% max drawdown, profit factor 7.9, +3.58% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 4h POL / USDT chart.
🔸 Review the RSI entry level, the five AO deviations and sizes, and the Take Profit percentage. Defaults are calibrated for POL 4h — recalibrate when the asset's volatility regime shifts.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the indicator's avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_POL).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and TP exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): Virtual USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above the running average entry where the virtual long closes.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
POL RSI Long Strategy [3Commas]POL RSI Long Strategy
🔷 What it does:
This is a long-only DCA strategy with a selective oversold entry and a scaling safety-order ladder. A long entry opens only when the 4-hour RSI falls below 28 (deep oversold). Five safety orders then fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base). Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to five safety orders on a non-uniform fixed-deviation ladder reaching −25% below base.
- Size scaling 1.8× per rung — aggressive enough to pull the average down hard, softer than a 2× doubling martingale.
- Tight 3% Take Profit from average entry — the averaging ladder pulls the average down so a small recovery closes the deal in profit.
- Single entry filter: deeply oversold 4h RSI — a clean, selective trigger.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders looking for long exposure on POL when it prints deep oversold readings on the 4h.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Order: Sized at 500 USDT default (0.5% of 100k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After the base fill, the strategy monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fires when close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. Sizes scale 1.8× from a 900 USDT first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss.
Why the Ladder Works: Each scaling safety order weights the average entry toward the lowest fills. After several rungs fill, the average sits well below base, so a modest 3% bounce off the lows is enough to close the whole deal in profit — the core mechanic of a DCA bot.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity rather than ~31%.
- Tight Recovery Target: The 3% Take Profit on the averaged-down entry closes deals quickly once price stabilizes, keeping the win rate high and holding times short relative to the depth of the ladder.
- DCA Bot Integration: Every event (base, AO 1–5, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 72 closed trades — below the ≥100 floor typically used for statistical confidence. The 72.22% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat these numbers as indicative of how the ladder behaves, not a forward-performance guarantee. Extend the test window or run the strategy across multiple assets to build a larger sample before committing capital.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of default 100k equity — above TradingView's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The scaling ladder amplifies both upside (when price recovers) and risk (if the lower bound breaks).
No Stop Loss: There is no exit on adverse moves below the −25% AO5. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 3% TP target or the user intervenes. The structural risk cap is the bounded 5-rung position ladder; if a hard exchange-side stop is required, layer it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. POL is a high-volatility asset; a sustained directional collapse below −25% leaves the full position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Commission Calibration: The default 0.06% commission is calibrated for perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:POLUSDT.P (Perpetual) — portable to any POL / USDT pair.
Timeframe: 4H
Test Period: September 13, 2024 — June 24, 2026 (~21 months).
Initial Capital: 100,000 USDT.
Order Size per Trade: 0.5% of Capital base + 5 safety orders with 1.8× size scaling.
Max Capital Deployed: ~$20,633 per trade (~20.6% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Market by default (Limit toggle available).
Take Profit: 3.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 4h RSI(14) Less Than 28.
Safety Orders: 5 with fixed deviations −2% / −5% / −9.5% / −16% / −25% from base entry; sizes 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT (1.8× scaling).
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,583.76 USDT (+3.58%)
Max Equity Drawdown: 944.08 USDT (0.94%)
Total Closed Trades: 72
Percent Profitable: 72.22% (52 / 72)
Profit Factor: 7.9
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the five AO deviations and sizes, the RSI entry level, and the Take Profit percentage. Defaults are calibrated for POL 4h — recalibrate when the asset's volatility regime shifts.
🔸 Results Review: The backtest produced 72 closed trades over ~21 months — below the ~100-trade floor for statistical relevance. Treat the metrics as indicative of the ladder's behavior; a larger sample increases confidence. Confirm that the trade frequency and the ladder's max deployment fit your risk tolerance before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Estratégia
[3Commas] TAO RSI Oversold Doubling DCA - Long Indicator TAO RSI Oversold Doubling DCA - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a TAO dip-buying workflow with an aggressive doubling-martingale safety ladder. It tracks one virtual long position at a time, opened only when TAO prints a deep oversold reading on 4-hour RSI. Five safety orders fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes doubling on every rung. Exit is a fixed 3% Take Profit from average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Selective oversold entry: 4h RSI < 28.
- Non-uniform fixed-deviation safety ladder: −2%, −5%, −9.5%, −16%, −25% from base entry.
- Doubling safety-order sizes: 1k / 2k / 4k / 8k / 16k USDT from a $500 base.
- Tight 3% Take Profit from the averaged-down entry — quick deal close once price stabilizes.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders running a DCA Bot on TAO who want to buy deep oversold dips.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders comfortable with a doubling martingale ladder deploying up to ~31.5% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Entry: When the gate is satisfied, the indicator marks a virtual long entry, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Safety Order Ladder (Fixed Deviations, Doubling Sizes): After base fill, the indicator monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fills at close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. USDT sizes double from a 1,000 first AO: 1,000 / 2,000 / 4,000 / 8,000 / 16,000. Each fill updates the running cost-basis and dispatches its own webhook payload.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Lifetime Total PnL: When the position closes for profit, the realized PnL from that cycle accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across the chart history) — giving traders a real-time read on cumulative performance without a backtest engine.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the close webhook fires, realized PnL accumulates, and the virtual position resets.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCA tools use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- Doubling Martingale: 1 / 2 / 4 / 8 / 16 / 32 size progression scales position capital exponentially if the position runs adverse, but is hard-bounded by the 5-rung ladder.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — Open resets per cycle, Total persists across the entire chart history. The indicator gives strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to seven discrete events per cycle (entry + 5 AO fills + TP), each with its own JSON alert payload. One TradingView alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 89 closed trades over a ~26-month window — just below the ≥100 floor typically used for statistical confidence. The high win rate and profit factor reflect favorable conditions and the averaging mechanic, not a deterministic edge. Treat them as indicative of how the ladder behaves, not a forward-performance guarantee.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches 31,500 USDT = ~31.5% of the default reference equity. The doubling martingale amplifies both upside on recovery and risk if the lower bound breaks. Match the indicator's per-AO allocation to your bot's configuration to keep the avg-entry display honest.
No Stop Loss: There is no exit signal on adverse moves below AO5 (−25% from base). If price keeps falling, the virtual position holds unhedged until either price recovers to the 3% TP target or the user intervenes. Risk is structurally capped on the bot side by the bounded position ladder; if a hard exchange-side stop is required, configure it on the bot directly.
Martingale Tail Risk: A doubling ladder that bottoms out at −25% is built for mean-reverting moves. TAO is a high-volatility asset; a sustained directional collapse below −25% leaves the full virtual position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Cross Detection Granularity: Entries and AO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter in the status table gives a running approximation. For full metrics over a ~26-month sample (89 closed trades, 77.53% win rate, 6.29% max drawdown, profit factor 7.259, +7.56% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 4h TAO / USDT chart.
🔸 Review the RSI entry level, the five AO deviations and sizes, and the Take Profit percentage. Defaults are calibrated for TAO 4h — recalibrate when the asset's volatility regime shifts.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the indicator's avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_TAO).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and TP exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): Virtual USDT amount of each safety order. Doubles at each rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above the running average entry where the virtual long closes.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicador
