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RSI Divergence Strategy v6 What this does Detects regular and hidden divergences between price and RSI using confirmed RSI pivots. Adds RSI@pivot entry gates, a normalized strength + volume filter, optional volume gate, delayed entries, and transparent risk management with rigid SL and activatable trailing. Visuals are throttled for clarity and include a gap-free horizontal RSI gradient. How it works (simple) 🧮 RSI is calculated on your selected source/period. 📌 RSI pivots are confirmed with left/right lookbacks (lbL/lbR). A pivot becomes final only after lbR bars; before that, it can move (expected). 🔎 The latest confirmed pivot is compared against the previous confirmed pivot within your bar window: • Regular Bullish = price lower low + RSI higher low • Hidden Bullish = price higher low + RSI lower low • Regular Bearish = price higher high + RSI lower high • Hidden Bearish = price lower high + RSI higher high 💪 Each divergence gets a strength score that multiplies price % change, RSI change, and a volume ratio (Volume SMA / Baseline Volume SMA). • Set Min divergence strength to filter tiny/noisy signals. • Turn on the volume gate to require volume ratio ≥ your threshold (e.g., 1.0). 🎯 RSI@pivot gating: • Longs only if RSI at the bullish pivot ≤ 30 (default). • Shorts only if RSI at the bearish pivot ≥ 70 (default). ⏱ Entry timing: • Immediate: on divergence confirm (delay = 0). • Delayed: after N bars if RSI is still valid. • RSI-only mode: ignore divergences; use RSI thresholds only. 🛡 Risk: • Rigid SL is placed from average entry. • Trailing activates only after unrealized gain ≥ threshold; it re-anchors on new highs (long) or new lows (short). What’s NEW here (vs. the reference) — and why you may care • Improved pivots + bar window → fewer early/misaligned signals; cleaner drawings. • RSI@pivot gates → entries aligned with true oversold/overbought at the exact decision bar. • Normalized strength + volume gate → ignore weak or low-volume divergences. • Delayed entries → require the signal to persist N bars if you want more confirmation. • Rigid SL + activatable trailing → trailing engages only after a cushion, so it’s less noisy. • Clutter control + gradient → readable chart with a smooth RSI band look. Suggested starting values (clear ranges) • RSI@pivot thresholds: LONG ≤ 30 (oversold), SHORT ≥ 70 (overbought). • Min divergence strength: 0.0 = off 3–6 = moderate filter 7–12 = strict filter for noisy LTFs • Volume gate (ratio): 1.0 = at least baseline volume 1.2–1.5 = strong-volume only (fewer but cleaner signals) • Pivot lookbacks: lbL 1–2, lbR 3–4 (raise lbR to confirm later and reduce noise) • Bar window (between pivots): Min 5–10, Max 30–60 (increase Min if you see micro-pivots; increase Max for wider structures) • Risk: Rigid SL 2–5% on liquid majors; 5–10% on higher-volatility symbols Trailing activation 1–3%, trailing 0.5–1.5% are common intraday starts Plain-text examples • BTCUSDT 1h → RSI 9, lbL 1, lbR 3, Min strength 5.0, Volume gate 1.0, SL 4.5%, Trail on 2.0%, Trail 1.0%. • SPY 15m → RSI 8, lbL 1, lbR 3, Min strength 7.0, Volume gate 1.2, SL 3.0%, Trail on 1.5%, Trail 0.8%. • EURUSD 4h → RSI 14, lbL 2, lbR 4, Min strength 4.0, Volume gate 1.0, SL 2.5%, Trail on 1.0%, Trail 0.5%. Notes & limitations • Pivot confirmation means the newest candidate pivot can move until lbR confirms it (expected). • Results vary by timeframe/symbol/settings; always forward-test. • Educational tool — no performance or profit claims. Credits • RSI by J. Welles Wilder Jr. (1978). • Reference divergence script by eemani123: • This version by tagstrading 2025 adds: improved pivot engine, RSI@pivot gating, normalized strength + optional volume gate, delayed entries, rigid SL and activatable trailing, and a gap-free RSI gradient.
Estratégia Pine Script®
por TagsTrading
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy Summary Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts. Scope and intent • Markets: large cap equities and ETFs, index futures, major FX, liquid crypto • Timeframes: one minute to daily • Default demo: BTC on 60 minute • Purpose: faster yet calmer PSAR that resists chop and improves short discipline • Limits: this is a strategy that places simulated orders on standard candles Originality and usefulness • Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias • Addresses false flips in low volatility and weak downtrends • All controls are exposed in Inputs for testability • Yardstick: ATR normalizes drift so settings port across symbols • Open source. No links. No solicitation Method overview Components • Adaptive AF: base step plus boost factor times logistic strength • Trail inertia: one sided blend that keeps the SAR monotone • Flip hysteresis: price must clear SAR by a buffer times ATR • Volatility gate: ATR over its mean must exceed a ratio • Bear bias for shorts: price below EMA of length 91 with negative slope window 54 • Cooldown bars optional after any entry • Visual SAR smoothing is cosmetic and does not drive orders Fusion rule Entry requires the internal flip plus all enabled gates. No weighted scores. Signal rule • Long when trend flips up and close is above SAR plus buffer times ATR and gates pass • Short when trend flips down and close is below SAR minus buffer times ATR and gates pass • Exit uses SAR as stop and optional ATR take profit per side Inputs with guidance Reactor Engine • Start AF 0.02. Lower slows new trends. Higher reacts quicker • Max AF 1. Typical 0.2 to 1. Caps acceleration • Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends • Strength window 18. Typical 10 to 40. Drift estimation window • ATR length 16. Typical 10 to 30. Volatility unit • Strength gain 4.5. Typical 2 to 6. Steepness of logistic • Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic • Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises • AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth • Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail • Allow Long, Allow Short toggles Trade Filters • Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips • Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars • Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes • Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness Risk • TP long ATR 1.0. Set to zero to disable • TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts Usage recipes Intraday trend focus Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime. Intraday mean reversion focus Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated. Swing continuation Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts. Properties visible in this publication Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls. Realism and responsible publication No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles. Honest limitations and failure modes High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips. Open source reuse and credits Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors. Strategy notice Orders are simulated on standard candles. No lookahead. Entries and exits Long: flip up plus ATR buffer and all gates true Short: flip down plus ATR buffer and gates true with bear bias when enabled Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry Tie handling: stop first if both stop and target could fill in one bar
Estratégia Pine Script®
por exlux
ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions. It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚙️ Core Logic -Asia Session: 8:00 PM – 11:59 PM (New York time) -London Session: 2:00 AM – 5:00 AM (New York time) -The script marks the Asia High/Low and London High/Low ranges for each day. -When the market sweeps above a session high → potential Short setup -When the market sweeps below a session low → potential Long setup -A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep). -Only one trade per sweep type (1 per High, 1 per Low) is allowed per session. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 📈 Risk Management -Configurable Risk/Reward Target (default = 2:1) -Configurable Position Size (number of contracts) -Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting. -All trades are automatically logged in the Strategy Tester with performance metrics. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 💡 Features ✅ Visual session highlighting (Asia = Aqua, London = Orange) ✅ Automatic liquidity line plotting (session highs/lows) ✅ Entry & exit labels (optional visual display) ✅ Customizable RR and contract size ✅ Works on any instrument (ideal for indices, futures, or forex) ✅ Compatible with all timeframes (optimized for 1M–15M) ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚠️ Notes -Best used on New York time-based charts. -Designed for educational and backtesting purposes — not financial advice. -Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 🧩 Recommended Use Pair this with: -ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps) -Higher timeframe liquidity maps -Session bias or daily narrative filters ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- Author: jygirouard Strategy Version: 1.3 Type: ICT Liquidity Sweep Automation Timezone: America/New_York
Estratégia Pine Script®
por jygirouard
4-Hour Range Scalping [v6.3]User Guide: 4-Hour Range Scalping Strategy Hello! Here is the guide for the Pine Script strategy. Please read it carefully to get the best results. 📈 This script automates the "4-Hour Range Scalping Strategy" from the video. The main idea is that the first four hours of a major trading day (like New York) set up a "trap zone." The strategy waits for the price to break out of this zone and then fail, giving us a signal that the breakout was false and the price is likely to reverse. Here’s the simple logic: Define the Range: It precisely calculates the highest high and lowest low during the first four hours of the selected trading session (e.g., 00:00 to 04:00 New York Time). Wait for a Breakout: It then monitors the 5-minute chart for a price breakout where a candle fully closes outside of this established range. Identify the Reversal: The trade trigger occurs when the price fails to continue its breakout and a subsequent 5-minute candle closes back inside the range. This signals a potential reversal or "failed breakout." Execute the Trade: ]A Short (Sell) trade is triggered after a failed breakout above the range high. A Long (Buy) trade is triggered after a failed breakout below the range low. Manage the Risk: The Stop Loss is automatically placed at the peak (for shorts) or trough (for longs) of the breakout move, and the Take Profit is set to a default 2:1 Risk/Reward Ratio. How to Use the Script (Step-by-Step) ⚙️ Follow these instructions to get it running perfectly. 1. Set Your Chart Timeframe This is the most important step. The strategy is designed to run on a 5-minute (5m) chart. Open your TradingView chart and make sure the timeframe is set to "5m". 2. Add the Script to Your Chart Open the Pine Editor tab at the bottom of TradingView, paste the entire script, and click the "Add to chart" button. 3. Configure the Settings On your chart, find the strategy's name (e.g., "4-Hour Range Scalping ") and click the gear icon ⚙️ to open its settings. Trading Session: Choose the session for the range. New York is the default and the one from the video. Risk/Reward Ratio: The default is 2.0, meaning your potential profit is twice your potential loss. You can adjust this to test other targets. Backtesting Period: To see how the strategy performed on all historical data, go to the "Strategy Tester" panel, click its own gear icon ⚙️, and uncheck the boxes for "Start Date" and "End Date." 4. Understand the Visuals on Your Chart Blue Background Area: This is the 4-hour calculation window. The script is identifying the day's high and low during this time. No trades will ever happen here. Red Line (Range High): The highest price of the 4-hour window. This is the upper boundary of the "trap zone." Green Line (Range Low): The lowest price of the 4-hour window. This is the lower boundary. Green Triangle (▲): Shows where a Long (Buy) trade was entered. Red Triangle (▼): Shows where a Short (Sell) trade was entered. A Very Important Note on Timezones 🕒 This is critical for you in the Philippines (PHT). The script is based on the New York session, which is 12 hours behind you. Your TradingView chart will still show your local time, but the script works on NY time in the background. The New York "day" begins at 12:00 PM (Noon) your time. The script's blue calculation window will be from 12:00 PM to 4:00 PM your local time. The red and green range lines will appear on your chart only after 4:00 PM your time. So, if you look at your chart in the morning or early afternoon, you will not see today's range yet. This is normal! The script is just waiting for the New York session to start. How to Set Up Trade Alerts 🔔 You can have TradingView send you a notification whenever the script enters a trade. Click the "Alert" button (looks like a clock) in the right-hand toolbar of TradingView. In the "Condition" dropdown, select the name of the script (e.g., "4-Hour Range Scalping..."). You will then see two options: "Long Signal" and "Short Signal". Select one (e.g., "Long Signal") and configure how you want to be notified (e.g., "Notify on app"). Click "Create". Repeat the process to create an alert for the other signal. ⚠️ Important Disclosure For Educational and Research Purposes Only. This script and all accompanying information are provided for educational and research purposes only. The strategy demonstrated is a technical concept and should not be misconstrued as financial, investment, legal, or tax advice. Trading financial markets involves substantial risk and is not suitable for every investor. There is a possibility that you could sustain a loss of some or all of your initial investment. Therefore, you should not invest money that you cannot afford to lose. Past performance is not indicative of future results. The backtesting results shown by this script are historical and do not guarantee future performance. Market conditions are constantly changing. By using this script, you acknowledge that you are solely responsible for any and all trading decisions you make. You should conduct your own thorough research and, if necessary, seek advice from an independent financial advisor before making any investment decisions. The creators of this script assume no liability for any of your trading results.
Estratégia Pine Script®
por edisonquinones
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
Estratégia Pine Script®
por exlux
2
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Estratégia Pine Script®
por exlux
2
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Estratégia Pine Script®
por exlux
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION OVERVIEW Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws. Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range. HOW IT WORKS DUAL ALMA SYSTEM The strategy uses two ALMA lines applied to price returns: • Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods) • Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods) ALMA is superior to simple or exponential moving averages because it provides: • Smoother curves with less noise • Significantly reduced lag • Natural resistance to outliers and flash crashes TRADING LOGIC BUY SIGNAL: • Fast ALMA crosses above Slow ALMA (bullish regime) • Price makes new N-bar high (momentum confirmation) • Optional: Price above 200 EMA (macro trend filter) • Optional: ALMA lines sufficiently separated (strength filter) SELL SIGNAL: • Fast ALMA crosses below Slow ALMA (bearish regime) • Optional: Price makes new N-bar low (momentum confirmation) The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months. VISUAL INDICATORS LINES: • Blue Line: Fast ALMA (short-term signal) • Black Line: Slow ALMA (long-term baseline) TRADE MARKERS: • Green Triangle Up: Buy executed • Red Triangle Down: Sell executed • Orange "M": Buy blocked by momentum filter • Purple "W": Buy blocked by weak crossover strength KEY PARAMETERS ALMA SETTINGS: • Short Period (default: 30) - Fast signal responsiveness • Long Period (default: 250) - Baseline stability • ALMA Offset (default: 0.90) - Balance between lag and smoothness • ALMA Sigma (default: 7.5) - Gaussian curve width ENTRY/EXIT FILTERS: • Buy Lookback (default: 7) - Bars for momentum confirmation (required) • Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits) • Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled) • Use Macro Filter (default: true) - Only enter above 200 EMA BEST PRACTICES RECOMMENDED ASSETS - Works well on: • Cryptocurrencies (Bitcoin, Ethereum, etc.) • Major indices (S&P 500, Nasdaq) • Large-cap stocks • Commodities (Gold, Oil) RECOMMENDED TIMEFRAMES: • Daily: Primary timeframe for swing trading • 4-Hour: More active trading (increase trade frequency) • Weekly: Long-term position trading PARAMETER TUNING: • More trades: Lower Short Period (60-80) • Fewer trades: Raise Short Period (100-120) • Faster exits: Set Sell Lookback = 0 • Safer entries: Enable Macro Filter (Use Macro Filter = true) STRATEGY ADVANTAGES 1. Low Lag - ALMA provides faster signals than traditional moving averages 2. Smooth Signals - Minimal whipsaws compared to crossover strategies 3. Asset Agnostic - Same parameters work across different markets 4. Trend Capture - Stays positioned during entire bullish regimes 5. Risk Management - Multiple filters prevent poor entries 6. Visual Clarity - Easy to interpret regime and filter states WHEN TO USE HERMES BEST FOR: • Trending markets (crypto bull runs, equity uptrends) • Swing trading (hold days to weeks) • Position trading (hold weeks to months) • Clear trend identification • Risk-managed exposure NOT SUITABLE FOR: • Ranging/sideways markets • Scalping or day trading • High-frequency trading • Mean reversion strategies RISK DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading. CREDITS Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering. Strategy by Hermes Trading Systems QUICK START 1. Add indicator to chart 2. Use on daily timeframe for best results 3. Look for green buy signals when blue line crosses above black line 4. Exit on red sell signals when blue line crosses below black line 5. Adjust parameters based on your trading style: • Conservative: Enable Macro Filter, increase Buy Lookback to 10 • Aggressive: Disable Macro Filter, lower Short Period to 60 • Default settings work well for most assets
Estratégia Pine Script®
por aicccia
3
Master Trend Strategy - by jake_thebossMaster Trend Strategy This strategy combines multiple technical indicators to identify high-probability trend entries across all asset classes. Core Signal Logic: Entry triggered when EMA 4 crosses above/below EMA 5 Confirmation required from RSI (>50 for long, <50 for short) Price must be above/below key moving averages: EMA 21, SMA 50, EMA 55, EMA 89, and EMA 750 Additional confirmation from Stochastic (>52 bullish, <48 bearish) or EMA 89 breakout or VWAP cross Key Features: VWAP filter: Only takes bullish signals above VWAP and bearish signals below VWAP Optional pyramiding: Allows multiple entries in the same direction (up to 200 orders) Individual stop loss and take profit management for each pyramid level Time filter: Customizable trading hours with timezone offset Risk management: Adjustable stop loss (default 0.3%) and take profit (default 0.6%) Visualization: Entry, stop loss, and take profit levels drawn as horizontal lines Customizable signal markers (triangles) for bull/bear entries Optional EMA overlay display The strategy is designed for trend-following on lower timeframes, with strict multi-indicator confirmation to filter out false signals.
Estratégia Pine Script®
por jake_theboss
1
MACD + Supertrend + DEMA StrategySTRATEGY 📊 STRATEGY LOGIC: Long Entry: When ALL of these occur simultaneously: MACD histogram crosses above 0 Supertrend is bullish (green) Short DEMA > Long DEMA Short Entry: When ALL of these occur simultaneously: MACD histogram crosses below 0 Supertrend is bearish (red) Short DEMA < Long DEMA Exits: Based on your TP/SL percentages from entry price This follows the same clean structure as your MACD strategy but adds the alignment concept and proper risk management!
Estratégia Pine Script®
por bdmasood
Moving Average Trend Strategy V2.1 — With Stop Loss and Add Posi**Strategy Feature Description:** --- ### **Entry Logic:** * When **MA7** crosses **MA15**, and the distance between **MA15** and **MA99** is less than **0.5%** * When **MA15** crosses **MA99**, and the distance between **MA7** and **MA15** is less than **0.5%** * When the distance among all three MAs (**MA7**, **MA15**, **MA99**) is less than **0.5%** (adjustable via parameters) --- ### **Capital Management:** * Initial capital: **$100** * Each position uses **15%** of total capital * Opens **both long and short positions simultaneously** (dual-direction mode) --- ### **Risk Control:** * **Long position stop-loss:** Entry price − 2% * **Short position stop-loss:** Entry price + 2% * Uses a **five-level take-profit grid**: * Every 5% profit → close 20% of position * Any pending take-profit orders are automatically canceled when stop-loss triggers --- ### **Visualization Features:** * Real-time display of the three moving averages * Chart annotations for entry signal points * All trade signals and performance can be viewed through **TradingView backtest reports** --- ### **Notes:** * Parameters can be adjusted based on the volatility of the instrument (historical backtesting is recommended first) * Dual-direction positions may generate **hedging costs** — recommended for low-fee markets * Real trading must consider **exchange minimum order size limits** * Suggest enabling a **volume filter mechanism** (extension interface already reserved) * Always perform **historical backtesting and parameter optimization** in TradingView before connecting to live trading systems
Estratégia Pine Script®
por shuan789
Moving Average Trend Strategy V4.1 — Revised Version (Selectable✅ **Version Notes (V4.0)** | Feature | Description | | --------------------------------------- | -------------------------------------------------------- | | 🧠 **Moving Average Type Options** | Choose from EMA / SMA / HMA / WMA | | 🧱 **Take-Profit / Stop-Loss Switches** | Can be enabled or disabled independently | | ⚙️ **Add Position Function** | Can be enabled or disabled independently | | 🔁 **Add Position Signal Source** | Selectable between MA Crossover / MACD / RCI / RSI | | 💹 **Adjustable Parameters** | All periods and percentages are customizable in settings | --- ✅ **Update Summary:** | Function | Description | | -------------------------------------- | --------------------------------------------------------------------- | | **MA Type Selection** | Choose EMA / SMA / HMA / WMA in chart settings | | **Take-Profit / Stop-Loss Percentage** | Configurable in the “Take-Profit & Stop-Loss” group | | **Add / Reduce Position Percentage** | Adjustable separately in the “Add/Reduce Position” group | | **MA Periods** | Customizable in the “Moving Average Parameters” section | | **Code Structure** | Logic unchanged — only parameterization and selection functions added | --- ### **Strategy Recommendations:** * **Trending Market:** Prefer EMA trend tracking or SAR indicators * **Range-Bound Market:** Use ATR-based volatility stop-loss * **Before Major Events:** Consider option hedging * **Algorithmic Trading:** Recommend ATR + partial take-profit combination strategy --- ### **Key Parameter Optimization Logic:** * Backtest different **ATR multipliers** (2–3× ATR) * Test **EMA periods** (10–50 periods) * Optimize **partial take-profit ratios** * Adjust **maximum drawdown tolerance** (typically 30–50% of profit) --- ### **Risk Control Tips:** * Avoid overly tight stop-losses that trigger too frequently * During strong trends, consider widening take-profit targets * Confirm trend continuation with **volume analysis** * Adjust parameters based on **timeframe** (e.g., Daily vs Hourly) --- ### **Practical Example (Forex: EUR/USD):** * **Entry:** Go long on breakout above 1.1200 * **Initial Stop-Loss:** 1.1150 (50 pips) * **When profit reaches 1.1300:** * Close 50% of position * Move stop-loss to 1.1250 (lock in 50 pips profit) * **When price rises to 1.1350:** * Move stop-loss to 1.1300 (lock in 100 pips profit) * **Final Outcome:** * Price retraces to 1.1300, triggering take-profit This method secured over **80% of trend profits** during the 2023 EUR rebound, capturing **23% more profit** compared to fixed take-profit strategies (based on backtest results).
Estratégia Pine Script®
por shuan789
AlgoWay GRSIM🧭 What this strategy tries to do This strategy detects when a market move is losing strength and prepares for a potential reversal, but it waits for fresh momentum confirmation before acting. It combines: • RSI-based divergence (to spot exhaustion and potential turning points), • Impulse MACD (to verify that the new direction actually has force behind it). ________________________________________ ⚙️ When it takes trades Long (Buy): • A bullish RSI divergence appears (a clue that selling pressure is fading); • Within a short time window, the Impulse MACD turns strongly positive; • Optionally, the impulse line itself must be rising (if the Impulse Direction Filter is enabled). Short (Sell): • A bearish RSI divergence appears (buying pressure fading); • Within a short time window, the Impulse MACD turns strongly negative; • Optionally, the impulse line must be falling (if the Impulse Direction Filter is enabled). If momentum confirmation happens too late, the divergence “expires” and the signal is ignored. ________________________________________ 🧩 How entries work 1. Reversal clue: The strategy detects disagreement between price and RSI (price makes a new high/low, RSI doesn’t). That suggests a shift in underlying strength. 2. Momentum confirmation: Before entering, the Impulse MACD must agree — showing real push in the same direction. 3. Impulse direction filter (optional): When enabled, the impulse itself must accelerate (rise for longs, fall for shorts), avoiding fake signals where price diverges but momentum is still fading. 4. No stacking: It opens only one position at a time. ________________________________________ 🚪 How exits work Two main exit styles: Conservative (default): Longs close when impulse crosses below its signal line. Shorts close when impulse crosses above its signal line. ✅ Keeps trades as long as momentum agrees. Color-change (fast): Longs close immediately when impulse flips bearish. Shorts close immediately when impulse flips bullish. ⚡ Faster and more defensive. Plus: Stop Loss (%) and Take Profit (%) act as fixed-distance protective exits (set to 0 to disable either one). ________________________________________ 📊 What you’ll see on the chart A thick Impulse MACD line and thin signal line (oscillator view). Diamonds — detected bullish/bearish divergence points. Circles — where impulse crosses its signal (momentum change). A performance panel (top-right) showing Net Profit, Trades, Win Rate, Profit Factor, Pessimistic PF, and Max Drawdown. ________________________________________ 🔧 What you can tune Signal Lifetime (bars): how long a divergence remains valid. Impulse Direction Filter: ensure the impulse itself is moving in the trade’s direction. Stop Loss / Take Profit (%): risk and target in percent. Exit Style: conservative cross or faster color-change. RSI / MA / Signal Lengths: adjust responsiveness (defaults are balanced). ________________________________________ 💪 Strengths Confirms reversals using momentum direction, not just divergence. Avoids “early” signals where momentum is still fading. Works symmetrically for longs and shorts. Built-in stop/target protection. Clear, visual confirmation of all logic components. ________________________________________ ⚠️ Things to keep in mind In sideways markets, the impulse can flip often — prefer conservative exits. Too small SL/TP → constant stop-outs. Too wide SL/TP → deep drawdowns. Always test with different timeframes and markets. ________________________________________ 💡 Practical tips Start with default settings. Enable “Use Impulse Direction Filter” in trending markets, disable it in very choppy ones. Focus on Profit Factor, Win Rate, and Max Drawdown after several dozen trades. Keep SL/TP roughly aligned with typical swing size. “AlgoWay GRSIM” is a reversal-with-confirmation strategy: it spots likely turns, demands real momentum alignment (optionally verified by impulse direction), and manages exits with clear momentum cues plus built-in protective limits.
Estratégia Pine Script®
por AlgowayConnector
Quantum Flux Universal Strategy Summary in one paragraph Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version. Scope and intent • Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. QQQ on one hour • Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps. • What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise. • Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state. • Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols. Method overview in plain language The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction. Base measures • Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale. • Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop. • Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves. Components • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner. • Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends. • Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response. • Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance. • Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot. Fusion rule • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent. • The blend power input scales the driver mix. Zero means fixed spans. One means full driver control. • Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes. Signal rule • Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one. • Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one. • When polarity flips from plus to minus, the strategy closes any long and enters a short. • When flux crosses above the guide, the strategy closes any short. What you will see on the chart • White polarity plot around the zero line • A dotted reference line at zero named Zen • Green background tint for positive polarity and red background tint for negative polarity • Strategy long and short markers placed by the TradingView engine at entry and at close conditions • No table in this version to keep the visual clean and portable Inputs with guidance Setup • Price source. Default ohlc4. Stable for noisy symbols. • Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive. • Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price. Logic • Guide span. Typical range 4 to 12. A small guide smooths without eating turns. • Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing. • Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work. • Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise. • Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve. • Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak. • Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong. • Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline. • Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols. • Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs. Filters • Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends. • Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping. • Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version. Alerts • This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows. Strategy has been currently adapted for the QQQ asset with 30/60min timeframe. For other assets may require new optimization Properties visible in this publication • Initial capital 25000 • Base currency Default • Default order size method percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Honest limitations and failure modes • Past results do not guarantee future outcomes • Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency • Gap heavy symbols may benefit from the MAD Z normalization • Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context • Session time is the exchange time of the chart • If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference Open source reuse and credits • None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank • Method and fusion are original in construction and disclosure Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy add on block Strategy notice Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used. Entries and exits • Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero • Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short • Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed • Tie handling. Not applicable in this version because there are no fixed stops or targets Position sizing • Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice Properties used on the published chart • Initial capital 25000 • Base currency Default • Default order size percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Dataset and sample size • Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour • Trade count in sample 324 on the example chart Release notes template for future updates Version 1.1. • Add alertcondition lines for long, short, and exit short • Add optional table with component readouts • Add optional stop model with a distance unit expressed as ATR or a percent of price Notes. Backward compatibility Yes. Inputs migrated Yes.
Estratégia Pine Script®
por exlux