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VIOP Scalping - OriginalVIOP Scalping – Original is a rule-based scalping strategy ported from an original C# logic set. It aims to trade only when trend direction, momentum, and trend strength align, then manages the position using fixed take-profit/stop-loss percentages with an optional trailing mechanism to protect gains during favorable moves. This strategy is provided for educational and backtesting purposes only. It is not financial advice and does not guarantee profitability. Always test thoroughly before any live usage. Core Concept Follow the dominant WMA trend, confirm momentum with EMA separation, filter conditions with RSI + ADX, then exit using fixed TP/SL with trailing behavior after a defined profit threshold. How the Strategy Works Trend Direction is defined by WMA: above WMA = long bias, below WMA = short bias. Momentum is measured via Fast EMA vs Slow EMA and the EMA difference. Trend Strength is confirmed using ADX (must exceed a threshold). RSI filters trades to avoid entering when momentum is likely overextended or weak. A no-trade session blocks entries during a predefined time window (default 09:30–10:05). Exit logic uses fixed percent TP/SL, with an optional trailing mechanism that activates after a profit threshold. Inputs and Settings Trend and Indicator Settings Main Trend WMA: Determines directional bias (price above = long, price below = short). Fast EMA / Slow EMA: Used to measure momentum and directional separation. RSI Period: Filters entries based on RSI range constraints. ADX Period: Measures trend strength (must exceed threshold to allow entries). Threshold Settings EMA Difference Threshold: Minimum EMA separation required to validate momentum. ADX Threshold: Minimum ADX required to confirm trend strength. RSI Long Ceiling: RSI must remain below this value for long entries. RSI Short Floor: RSI must remain above this value for short entries. Risk Management Settings Take Profit %: Default TP distance in percent. Strong Trend Take Profit %: Higher TP used when a “strong trend” condition is detected. Stop Loss %: Fixed SL distance in percent. Trailing Activation %: Profit threshold at which trailing starts. Trailing Distance %: Trailing offset distance used once trailing is active. Time Filter No-Trade Hours: Default session is 09:30–10:05. During this window, the strategy does not open new trades. Entry Logic No-Trade Time Filter If the current bar falls inside the no-trade session, entries are blocked. Long Entry Conditions Price is above the WMA trend line. EMA difference is positive and greater than the EMA Difference Threshold. EMA momentum is increasing (current EMA diff > previous EMA diff). RSI is within the defined range (RSI > 48 and RSI < RSI Long Ceiling). Close is higher than the previous close. ADX is above the ADX Threshold. Short Entry Conditions Price is below the WMA trend line. EMA difference is negative and lower than -EMA Difference Threshold. Bearish momentum is increasing (current EMA diff < previous EMA diff). RSI is within the defined range (RSI < 52 and RSI > RSI Short Floor). Close is lower than the previous close. ADX is above the ADX Threshold. Strong Trend Logic (Dynamic TP Selection) If price is far from the WMA (absolute distance > 20 points) AND EMA separation is strong (absolute EMA diff > 1.5 points), the strategy treats the environment as a strong trend. In strong trend mode, the strategy uses “Strong Trend Take Profit %” instead of the default “Take Profit %”. Exit Management (TP/SL + Trailing) The strategy uses fixed percentage-based TP and SL levels. Trailing logic is enabled via strategy.exit and activates only after price moves in profit by the defined Trailing Activation %. Once activated, trailing follows price using the defined Trailing Distance % offset. This is designed to secure partial gains during extended moves while still allowing room for continuation. What You See on the Chart WMA Trend Line (Main Trend Filter). Fast EMA and Slow EMA (Momentum Confirmation). Strategy entry/exit markers generated by TradingView. Recommended Use Scalping systems that rely on trend-following and momentum confirmation. Markets where ADX filtering helps avoid choppy conditions. Traders who want a simple, parameter-driven TP/SL system with trailing after confirmation. Important Notes The no-trade session depends on your chart/session settings. Ensure your symbol/session configuration matches your intended market hours. Percent-based exits scale with price; results will vary across instruments and volatility regimes. Always validate behavior using bar replay, forward testing, and realistic commission/slippage assumptions.
Estratégia Pine Script®
por mehmettopbas_
VIOP Scalping - ATR SNIPERVIOP Scalping – ATR SNIPER is a momentum-based scalping strategy designed to capture short, high-probability moves while keeping risk strictly defined using ATR-based stop-loss and fixed risk/reward targets. The strategy trades only when trend direction, momentum, and strength are aligned. This script is provided for educational and testing purposes only. It does not guarantee profitability and must be used with proper risk management. Core Idea Trade in the direction of the dominant trend, confirm momentum acceleration, and manage risk using ATR-based dynamic stops and targets. How the Strategy Works The main trend is defined using a Weighted Moving Average (WMA). Momentum is measured by the distance and direction between a fast EMA and a slow EMA. Trend strength is confirmed using ADX. RSI is used as a filter to avoid weak or overextended market conditions. Entries are blocked during a predefined no-trade time window to avoid high-noise periods. Long Entry Conditions Fast EMA is above Slow EMA and the EMA difference is greater than the minimum threshold. EMA momentum is increasing compared to the previous bar. RSI is within the user-defined long range. Current close is higher than the previous close. ADX is above the minimum strength threshold. Price is above the WMA trend line. The current bar is not inside the no-trade session. Short Entry Conditions Fast EMA is below Slow EMA and the EMA difference is below the negative threshold. Bearish EMA momentum is increasing. RSI is within the user-defined short range. Current close is lower than the previous close. ADX is above the minimum strength threshold. Price is below the WMA trend line. The current bar is not inside the no-trade session. Risk Management – ATR Sniper Logic Stop-loss distance is calculated as ATR multiplied by the ATR Multiplier. Take-profit distance is calculated using the defined Risk/Reward ratio. Stop-loss and take-profit levels are dynamically calculated per trade. Only one position can be open at any given time. What You See on the Chart Weighted Moving Average (WMA) trend line. Fast EMA and Slow EMA lines. Dynamic stop-loss line during active trades. Dynamic take-profit line during active trades. Recommended Use Intraday scalping on VİOP instruments. Momentum-based short-term trading. Traders who prefer rule-based systems with strict risk control. Always backtest and forward-test on your own instruments and timeframes before using this strategy in live markets.
Estratégia Pine Script®
por mehmettopbas_
Algomist - Adaptive Velocity Cross🚀 Algomist: The Adaptive Velocity Cross (AVC) Automate Your Edge This strategy transcends the limitations of classic Moving Average (MA) crossovers. The Adaptive Velocity Cross (AVC) is a state-of-the-art trend-following system designed for automated execution, filtering out low-probability whipsaws and prioritizing high-momentum breakouts in volatile markets. It's not just a signal generator; it's a fully automated, risk-managed trading plan that delivers structured trade signals directly to your Algomist account. 🔥 Key Features & Technology Adaptive Hull Moving Averages (HMA): Utilizes the Hull MA to significantly reduce lag compared to standard EMAs and SMAs. The faster and slower HMAs provide a highly responsive gauge of short-term and medium-term trend direction. Multi-Layer Volatility Filtering: Trades are strictly prohibited during flat, low-volatility market conditions. Current Timeframe Filter (ATRMinFilter): Ensures trades only fire when current market momentum is strong enough to carry the trend. Higher Timeframe Filter: Checks the ATR on a higher timeframe (e.g., 1H) to confirm the structural trend strength, preventing entries during tight squeezes. Visual Trend Velocity: The space between the Fast (Blue) and Slow (Pink) HMAs is colored and filled, providing an immediate visual cue for trend direction and strength (width of the band). Asymmetric Risk Management: Uses the dynamic Average True Range (ATR) to calculate Stop Loss and Take Profit levels, ensuring risk and reward are proportional to current market volatility. ⚙️ How It Works (The Logic) The AVC only executes a trade when all three high-conviction criteria are met: Trend Signal: The Fast $\text{HMA}$ crosses the Slow $\text{HMA}$ (Crossover). Volatile Market Confirmation: The market must be sufficiently volatile on both the current timeframe and the higher structural timeframe ($\text{ATR}$ filters passed). Risk Management: A defined $\text{SL}$ (Stop Loss) and $\text{TP}$ (Take Profit) are calculated based on the current market $\text{ATR}$ to manage the position before entry. 🤖 Automation Ready The strategy is built with automation as the priority. Upon a confirmed entry, the script sends a cleanly formatted JSON string via a TradingView Webhook alert to Algomist. Create your account and get your own web hook @ www.algomist.app Example Alert Output: { "symbol": "ETHUSDC", "side": "LONG", "entry_price": 67500.0, "stop_loss": 66000.0, "take_profit": 70000.0, "timestamp": 1766715660462 } This signal is ready for immediate consumption by your Algomist execution engine, ensuring lightning-fast and error-free order placement. 📊 Recommended Use Asset Class: Highly effective on high-liquidity, high-volatility assets (e.g., Crypto Majors, Forex Pairs, Indices). Timeframes: Works best on 1m to 15 min charts. Risk Profile: Medium-to-High frequency trend-following system. Disclaimer: The strategy code provided is for informational and educational purposes. Past performance is not indicative of future results. Always backtest and forward-test any automated strategy extensively before using real capital.
Estratégia Pine Script®
por Algomist_
Golder/Silter SetupsGolden/Silver Strategy Overview The Tony Rago Golden/Silver Strategy is a high-precision mean-reversion system specifically engineered for the Nasdaq (NQ/MNQ). It leverages the psychological 100-point price blocks to identify institutional exhaustion and reversal points. Unlike standard "grid" bots, this strategy uses a sophisticated "Arm & Fire" logic: it requires a specific price "touch" to arm the setup, followed by a retracement to a "Golden" entry level to execute. Key Logic: The 100-Point Grid The strategy divides price action into 100-point blocks (e.g., 19500 to 19600). Golden Setup (Long): Triggered when price touches the 50 level (mid-point). The order is placed at the 26 level on the retracement. Silver Setup (Short): Triggered when price touches the 00 or 100 levels (block boundaries). The order is placed at the 77 or 26 levels on the retracement. Professional Risk Management This edition features a Dual-Contract Management system designed for Prop Firm consistency: Contract 1 (The Scalp): Aims for a quick 24-point target (TP1) to secure realized gains and cover costs. Contract 2 (The Runner): Stays in the trade for an extended 51-point target (TP2). Automated Break-Even (BE): The moment TP1 is hit, the Stop Loss for the Runner is automatically moved to the entry price (plus a small offset). This ensures a "risk-free" environment for the remainder of the trade. Independent Stop Losses: The Scalp and the Runner use different SL distances to account for Nasdaq volatility, preventing a single "noise" wick from wiping out the entire position. Intelligent Filters ADX Range Filter: The strategy monitors market trend strength. It only allows trades when the ADX is below a user-defined threshold (default 25), ensuring you only play mean-reversion during ranging or "choppy" markets. MA Visual Semaphor: The 50 EMA changes color dynamically based on ADX (Lime/Green for Range, Orange/Red for Trend), giving you an instant visual "Go/No-Go" signal. Time-Session Filtering: Optimized for three custom sessions (NY Open, Mid-Day Reversal, and Late Night). Outside these sessions, the strategy can "Arm" setups in memory but will not "Fire" orders. How to Use Timeframe: Optimized for 1-Minute or 2-Minute charts for precision entry. Asset: Nasdaq 100 (NQ, MNQ) or similar high-volatility indices. Setup: * Enable Session Filters to avoid news volatility. Adjust TP/SL in Points (1 Point = 4 Ticks) to suit your specific risk appetite. Watch for the "Armados" labels—these indicate the system is ready and waiting for the Golden/Silver entry. Visual Interface Dynamic Boxes: Real-time visual representation of your TP1, TP2, and SL levels. Activation Labels: Clear indications of when a Long or Short setup has been "Armed" in memory. Status Dashboard: A clean top-right table showing current ADX values, Session status, and Risk settings. Disclaimer Trading involves significant risk. This strategy is a tool for decision support and backtesting. Past performance does not guarantee future results. Always test on a demo account before risking live capital.
Estratégia Pine Script®
por pablollorens
ICT Entry V1 [TS_Indie]📌 Description – ICT Entry V1 This trading system is based on price action, combined with FVG, iFVG, and liquidity, and it uses the mechanism from the indicator “Smallest Swing ” to validate swings that become liquidity. ⚙️ Core Logic & Working Mechanism I won’t explain FVG in detail, as most traders are already familiar with it. Let’s focus on the mechanism of iFVG instead. The concept of iFVG is based on a supply-to-demand flip and a demand-to-supply flip within an FVG zone. For an iFVG to be confirmed, the candle close must break through the FVG. A wick alone does not count as a valid iFVG confirmation. The confirmation of market structure swings uses a pivot length mechanism combined with price action. It validates a swing by detecting a structure break formed by candles making new highs or new lows. 📈 Buy Setup 1.Liquidity sweep on the demand side, with price closing above the liquidity level. 2.A demand zone is formed as FVG and iFVG, where iFVG is located above FVG. 3.The gap between the upper box of FVG and the lower box of iFVG must be within the defined Min and Max range. 4.Market Structure must be in a Bullish trend. 5.Place a Pending Order at the upper box of FVG and set Stop Loss at the lower box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss). 📉 Sell Setup 1.Liquidity sweep on the supply side, with price closing below the liquidity level. 2.A supply zone is formed as FVG and iFVG, where iFVG is located below FVG. 3.The gap between the lower box of FVG and the upper box of iFVG must be within the defined Min and Max range. 4.Market Structure must be in a Bearish trend. 5.Place a Pending Order at the lower box of FVG and set Stop Loss at the upper box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss). ⚙️ Liquidity Sweep Conditions ➯ When a liquidity sweep occurs on the demand side, the system will start looking for Buy Setup conditions. ➯ When a liquidity sweep occurs on the supply side, the system will immediately switch to looking for Sell Setup conditions. ➯ The system will always prioritize the most recent liquidity sweep and search for setups based on that direction. ➯ The liquidity sweep condition will be invalidated when price closes back below (for demand sweep) or above (for supply sweep) the most recently swept liquidity level. ⭐ Pending Order Cancellation Conditions A Pending Order will be canceled under the following conditions: 1.A new Price Action signal appears on either the Buy or Sell side. 2.When Time Session is enabled, the Pending Order is canceled once price exits the selected session. 🕹 Order Management Rule When there is an active open position, the indicator restricts the creation of new Pending Orders to prevent overlapping positions. ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk, including the potential loss of capital. 🥂 Community Sharing If you find parameter settings that work well or produce strong statistical results, feel free to share them with the community so we can improve and develop this indicator together.
Estratégia Pine Script®
por Truth_Strategy_Indie
2
Black-Scholes Gamma Scalping Strategy# Black-Scholes Gamma Scalping Strategy ## Overview This strategy applies options market-making principles to spot/futures trading using the Black-Scholes pricing model. It simulates the behavior of a delta-hedged straddle position, generating buy and sell signals based on how a market maker would hedge their gamma exposure. --- ## The Concept: Gamma Scalping Professional options traders who hold long straddles (long call + long put at the same strike) profit when the underlying moves significantly in either direction. Here's why: - A straddle has **positive gamma**, meaning its delta increases as price rises and decreases as price falls - To stay delta-neutral, traders must **buy after dips** and **sell after rallies** - If **realized volatility > implied volatility**, the profits from these hedging trades exceed the daily theta (time decay) cost This strategy captures that edge by: 1. Calculating theoretical Greeks using Black-Scholes 2. Monitoring when delta deviates from neutral 3. Trading to "hedge" back to neutral — buying weakness, selling strength --- ## Black-Scholes Greeks Calculated | Greek | Symbol | What It Measures | |-------|--------|------------------| | Delta | Δ | Directional exposure | | Gamma | Γ | Rate of delta change | | Vega | ν | Sensitivity to volatility | | Theta | Θ | Time decay per day | All Greeks are calculated in real-time using the standard Black-Scholes formula with configurable inputs for strike, expiration, implied volatility, and risk-free rate. --- ## Entry Signals **Long Entry** (buy the underlying): - Price drops significantly (gamma scalp trigger), OR - Straddle delta falls below the lower hedge band - Volatility filter confirms favorable regime (HV > IV) **Short Entry** (sell the underlying): - Price rises significantly (gamma scalp trigger), OR - Straddle delta rises above the upper hedge band - Volatility filter confirms favorable regime --- ## Volatility Regime Filter The strategy compares **Historical Volatility (HV)** to **Implied Volatility (IV)**: - **HV/IV > 1.2** → Long volatility regime (gamma scalping profitable) → Trading enabled - **HV/IV < 0.8** → Short volatility regime (theta wins) → Trading paused or reversed - **Between** → Neutral, proceed with caution This filter helps avoid trading when market conditions don't favor the strategy. --- ## Key Inputs **Option Parameters:** - Strike Offset % — Distance from ATM (0 = at-the-money) - Days to Expiration — Synthetic option tenor (affects gamma magnitude) - Implied Volatility — Your estimate of fair IV - Risk-Free Rate — For BS calculation **Trading Parameters:** - Gamma Scalp Threshold — ATR multiple to trigger trades - Delta Hedge Band % — How far delta must deviate to signal - Volatility Regime Filter — Enable/disable HV/IV filter **Risk Management:** - Stop Loss / Take Profit (ATR multiples) - Max Drawdown % — Pauses trading if exceeded - Max Concurrent Positions --- ## How to Use 1. **Set Implied Volatility** to match current market IV (check options chain or VIX for reference) 2. **Adjust Days to Expiration** — Shorter = higher gamma, more signals; Longer = smoother 3. **Tune the Hedge Band** — Tighter bands = more trades; Wider = fewer, larger moves 4. **Enable Volatility Filter** for trend-following vol regimes, disable for pure mean-reversion **Best suited for:** - Range-bound or choppy markets - High realized volatility environments - Liquid instruments with tight spreads **Avoid using when:** - Strong directional trends (gamma scalping loses to delta) - Volatility is collapsing - Low liquidity / wide spreads --- ## Information Table The on-chart table displays real-time: - Current strike price - Straddle Delta, Gamma, Vega, Theta - Historical vs Implied Volatility - HV/IV Ratio - Current volatility regime --- ## Alerts Built-in alert conditions for: - Long entry signals - Short entry signals - Max drawdown protection triggered --- ## Disclaimer This strategy is provided for **educational purposes only**. It demonstrates how Black-Scholes option pricing theory can be applied to generate trading signals. - Past performance does not guarantee future results - Backtest results may not reflect live trading conditions - Always use proper position sizing and risk management - Paper trade extensively before using real capital **No financial advice is given or implied.** --- ## Credits Based on the Black-Scholes-Merton option pricing model (1973) and gamma scalping techniques used by professional options market makers. --- *If you find this useful, please leave a like or comment. Suggestions for improvements are welcome!*
Estratégia Pine Script®
por DrRRRKopp
The Blessed Trader Ph. | Double EMA + RSI (20) Strategy v1.0📊 The Blessed Trader Ph. Double EMA + RSI (20) Strategy — v1.0 1️⃣ Strategy Overview This is a trend-following breakout strategy designed to: Catch strong directional moves Filter out weak trades using momentum confirmation Control risk with ATR-based stop-loss and take-profit It works best in trending markets such as: Crypto (BTC, ETH, altcoins) Forex (major & minor pairs) Indices (NAS100, US30, SPX) 2️⃣ Indicators Used 🔹 Double EMA Channel EMA 20 High → Dynamic resistance EMA 20 Low → Dynamic support These two EMAs create a price channel: Break above → bullish strength Break below → bearish weakness Unlike a single EMA on close, using High & Low EMAs helps: Reduce fake breakouts Confirm real price expansion 🔹 RSI (20) Measures momentum strength RSI > 50 → bullish momentum RSI < 50 → bearish momentum RSI is used only as a filter, not as an overbought/oversold signal. 🔹 ATR (14) Measures market volatility Used to calculate: Stop Loss (1.5 × ATR) Take Profit (3.0 × ATR) This makes the strategy: Adaptive to any market Effective across timeframes 3️⃣ Trade Rules (Very Important) ✅ BUY (LONG) Conditions A buy trade is opened only when all conditions are met: Price closes above EMA 20 High RSI (20) is above 50 Candle is confirmed (bar close) ➡️ This means: “Price has broken resistance with strong momentum.” ❌ SELL / EXIT Conditions The long trade is closed when: Price closes below EMA 20 Low RSI (20) is below 50 ➡️ This signals: “Trend strength is weakening or reversing.” 🛑 Stop Loss & 🎯 Take Profit Stop Loss = Entry − (ATR × 1.5) Take Profit = Entry + (ATR × 3.0) Risk–Reward ≈ 1 : 2 This protects capital and lets winners run. 4️⃣ Why This Strategy Works ✔ Trades with the trend ✔ Avoids ranging markets ✔ Uses confirmation, not prediction ✔ Non-repainting (bar close only) ✔ Works on any timeframe 5️⃣ 🔥 Why Heikin Ashi Candles Improve Results What are Heikin Ashi candles? Heikin Ashi candles smooth price action by averaging price data instead of using raw OHLC values. Benefits for THIS strategy: ✅ 1. Cleaner Trend Detection Fewer false EMA breakouts Smoother closes above EMA High Stronger continuation signals ✅ 2. Reduced Whipsaws RSI stays more stable Fewer fake buy signals during consolidation ✅ 3. Better Trade Holding Keeps you in trends longer Avoids early exits caused by noise 6️⃣ How to Use Heikin Ashi with This Strategy On TradingView: Open your chart Click Candles Select Heikin Ashi Apply the strategy 📌 Important Tip EMAs & RSI will now be calculated using Heikin Ashi data This is ideal for trend-following, not scalping ranges 7️⃣ Best Settings & Recommendations ⏱ Timeframes 5m / 15m → Crypto & Forex intraday 1H / 4H → Swing trading Daily → Position trading 📈 Market Conditions Best in strong trends Avoid low-volatility ranges 🎯 Pro Tip Combine with: Higher-timeframe trend bias Session filter (London / New York) Volume confirmation 8️⃣ Final Advice from 🙏 The Blessed Trader Ph. “This strategy doesn’t predict — it confirms. Be patient. Wait for clean Heikin Ashi closes. Trade less, but trade better.”
Estratégia Pine Script®
por Blessed_Trader22
[PickMyTrade] Trend strategy for LongThis strategy detects descending trend resistance using pivot-based trendlines and enters long positions when price confirms a breakout above a validated trendline. It is designed to capture bullish trend reversals with strict risk control and flexible exit management. The system focuses on structural market behavior rather than indicators, making it suitable for traders who prefer price-action-based decision making. USAGE This strategy automatically builds trendlines from confirmed pivot highs. A trendline is considered valid only when price has interacted with it a user-defined number of times, ensuring that trades are taken only from well-formed market structures. A trade is triggered when price closes above a validated descending trendline while optional session and position limits are respected. All risk and position sizing are calculated automatically based on the selected risk amount and stop-loss distance. HOW IT WORKS The strategy identifies swing highs using pivot logic and connects them into descending trendlines. Each trendline must meet a minimum number of touch confirmations before becoming eligible for trading. When price closes above a valid trendline, the strategy calculates: Stop-loss placement below the most recent pivot low Position size based on fixed monetary risk Profit targets based on the selected exit method EXIT METHODS Three exit models are supported: Risk–Reward Ratio Uses a fixed multiple of the defined risk distance to set the take-profit level. Lookback Candle Exit Exits trades when price shows structural reversal behavior based on recent candles. Fibonacci Targets Uses Fibonacci extensions derived from recent swing structure to trail profits dynamically. An optional trailing stop can also be enabled to protect open profits. FEATURES Automatic pivot-based trendline detection Multi-trendline or single-trendline operation Dynamic position sizing based on monetary risk Pivot-based stop-loss placement Multiple exit methodologies Optional trailing stop Optional trading session filter Fully visualized trendlines, stop levels, and profit targets SETTINGS Trend Detection Pivot Length for Trend Touch Number Validation Percentage Optional Pivot-to-Pivot Confirmation Risk Management Fixed Risk Amount Default Contract Size Option Stop-Loss Buffer Trailing Stop Toggle Take-Profit Exit Method Selection Risk-Reward Ratio Lookback Candle Length Fibonacci Extension Levels Session Filter Enable/Disable Session Trading Trading Session Time Window
Estratégia Pine Script®
por PickMyTrade_Official
40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs. Strategy Logic Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend. Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point. Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average. Key Features Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout. Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots." Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
Estratégia Pine Script®
por myers2115
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer) Overview This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable. Core idea (Percent → Tick conversion) strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss). This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes. //==What it provides==// 1. % → tick conversion for: - Fixed stop loss (loss) - Trailing activation distance (trail_points) - Trailing offset distance (trail_offset) 2. On-chart visualization: - Entry average price - Trailing activation threshold - Fixed stop-loss line - Trailing stop line (with an exit-bar alignment attempt to reduce gaps) //==How to use==// 1. Keep the included MA crossover entries, or replace them with your own entries. 2. Configure: - Fixed Stop Loss % (loss_pct) - Trailing Activation % (t_points_pct) - Trailing Offset % (t_offset_pct) 3. Adjust commission/slippage defaults to match your market. //==Important limitations (must read)==// - calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload. - Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level. - For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available). # Average Entry Price (Basis): "Calculations are based on the position's average entry price (strategy.position_avg_price)." # Pine Script v6: "Written in the latest Pine Script v6." 요약 이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다. 단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
Estratégia Pine Script®
por surirang
SMAcross-mvrOverview SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting. It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging. 🚀 What’s New in v2 ✅ Multiple Entry Modes You can now choose how trades are entered: Entry Mode A: Short SMA crosses Long SMA Entry Mode B: Price crosses Long SMA This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy. ✅ Modular Exit System (Checkbox-Based) Exit logic is now fully modular using independent checkboxes: ☑ Exit on opposite signal ☑ Exit when price closes beyond Short SMA You may enable one, both, or neither. If both are enabled, the strategy exits on whichever condition occurs first. ✅ Terminology Clarity All labels, inputs, and alerts now use semantic naming: Short SMA (formerly 13 SMA) Long SMA (formerly 30 SMA) This makes the strategy easier to understand and future-proof if SMA lengths are changed. ✅ Full-Capital Position Sizing Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests. ✅ Optional Visual Enhancements Optional cross price labels (can be toggled on/off) Color-filled zone between Short and Long SMAs for quick trend recognition Optional 200 SMA (off by default) for higher-timeframe context ✅ Alert-Ready (TV-Safe) All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for: Manual trade notifications Webhook-based automation Broker integrations 🔒 Design Principles No repainting No line continuations (TradingView-safe formatting) Stable behavior when zooming or scrolling Clear separation of entry logic, exit logic, and visuals ⚠️ Notes This script is intended for educational and research purposes. Always forward-test and apply proper risk management before live trading.
Estratégia Pine Script®
por vmedaram1
6
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime. The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes. In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78. Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis, 1. The "60 Floor" (Support) Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage. Historical Behavior (2021-2022 Context): July 2021: After the May crash, ETHDVOL compressed down and found support at ~65. Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800). Outcome: Strong Buy Signal (Trend Continuation). January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000. Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200. Outcome: Trap / Warning Signal. The Pattern: When Volatility hits 60 (Support), price is usually Coiling. If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards. If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards. 2. The "78 Ceiling" (Resistance) Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top). Historical Behavior: May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+. Price Action: Price collapsed from $4,000 to $1,700. Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood). November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80. Price Action: ETH hit $1,100 (Cycle Lows). Signal: Hitting 78 marked the Absolute Bottom. November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70). Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Estratégia Pine Script®
por chart_inator