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Indicateurs et stratégies

ICT FVG MNQ (Fixed Stop + Multi-TP Toggles)ICT FVG use-18 Min timeframe 0) Stabilizer Evaluation Mode: PriceCh... (PriceChange mode selected) Bypass Session Filter: OFF (unchecked) Bypass Open Delay: OFF Bypass Cooldown: OFF 1) Entry Logic Swing Strength (past-only): 4 FVG Min Size (ticks): 8 FVG Expire Bars: 12 2) Risk Management Contracts (integer): 10 Hard Stop (ticks): 65 Use Trailing Stop: OFF Trail Activation (ticks): 30 Trail Offset (ticks): 15 Use BreakEven (only with Trailing): OFF BE Trigger (ticks): 20 BE Plus (ticks): 2 Cooldown Bars: 3 Market Open Delay (minutes): 2 2B) Multi Take Profit (No Trailing) Use TP1/TP2/TP3 when Trailing OFF: ON (checked) Enable TP1: ON Enable TP2: ON Enable TP3: OFF TP1 Ticks: 29 TP2 Ticks: 54 TP3 Ticks: 54 TP1 %: 30 TP2 %: 60 TP3 %: 30 Move SL to Entry when TP2 fills: OFF (unchecked) 2C) Safety Exits Force Exit at Session End: ON (checked) (A “Max Bars In Trade” box is partially visible but not fully shown.) 3) Sessions Timezone (IANA): America/New... (looks like America/New_York) Enable Session 1: ON S1 Start: 0 : 00 S1 End: 16 : 55 Enable Session 2: OFF (Values shown: S2 Start 18:02, S2 End 23:55, but session 2 is disabled) 4) Visual Show FVG Zones: ON Show Dashboard: ON Dashboard Position: TopRight
Stratégie Pine Script®
par bhavneetsinghwalia
AlgoFreaks: Sniper Long (Premium)The AlgoFreaks™ Sniper Long is a high-precision mean reversion system designed to catch "dip buying" opportunities within established bullish trends. Instead of chasing green candles, this system patiently waits for extreme oversold conditions to execute "Sniper" entries with favorable risk-to-reward ratios. ### 🟢 How it Works The strategy relies on a multi-timeframe confirmation logic: 1. **Trend Filter:** Ensures the asset is in a dominant uptrend using both Local EMA (200) and Higher Timeframe (4H) EMA filters. 2. **Sniper Entry:** Triggers only when the RSI collapses to extreme lows (e.g., RSI < 5), indicating a temporary panic selling moment within a bull run. 3. **Risk Management:** Uses a built-in Hard Stop Loss for protection and an advanced Trailing Stop system to let winners run while locking in profits. ### ⚡ Key Features * **Visual Dashboard:** Real-time branding and signal status on your chart. * **Automation Ready:** Fully optimized JSON alerts for 3Commas, Bybit, and PineConnector. * **No Repainting:** All signals are confirmed on bar close. ### 🛡️ Risk Warning Trading cryptocurrencies involves significant risk. This indicator is a tool for finding setups, not financial advice. Always use proper risk management. ### 🔐 How to Get Access This is an Invite-Only script. To get access to the AlgoFreaks suite: algofreeks.com
Stratégie Pine Script®
par AlgoFreaks
RSI Ladder TP Strategy v1.0 Overview This strategy is an RSI-based reversal entry system with a ladder-style take-profit mechanism. It supports Long-only, Short-only, or Both directions and provides optional Average Entry Price, Stop Loss, and Take Profit reference lines on the chart. Entry Rules Long Entry: RSI crosses above the Oversold level (default: 20). Short Entry: RSI crosses below the Overbought level (default: 80). Optional: If enabled, the script will close the current position when an opposite signal appears before opening a new one. Exit Rules (Ladder Take Profit) Take profit is placed as a ladder using tpLevels and tpStepPct. Example (default tpStepPct = 1%, tpLevels = 10): TP1 at +1%, TP2 at +2%, … TP10 at +10% (relative to current average entry price). Each TP level closes tpClosePct of the remaining position, meaning it scales out geometrically: If tpClosePct = 50% → remaining position becomes 50%, then 25%, then 12.5%, etc. Stop Loss Optional stop loss is placed at slPct (%) away from the average entry price: Long: avg * (1 - slPct%) Short: avg * (1 + slPct%) Visual Lines Average Entry Price Line: current strategy.position_avg_price Stop Loss Line: based on slPct Next TP Line: shows the estimated next TP level based on current profit% All TP Lines: optional (can clutter the chart) ============================================================== Recommended Use This strategy is best used on markets with strong mean-reversion behavior. For exchanges/bots that do not support hedge mode in a single strategy, run two separate instances: One set to Long Only One set to Short Only
Stratégie Pine Script®
par ORYXA
TradingView Alert Adapter for AlgoWayTRALADAL is a universal TradingView alert adapter designed for traders who work with indicators and want to test and automate indicator-based signals in a structured way. It allows users to convert indicator outputs into a TradingView strategy and forward the same logic through alerts for multi-platform execution via AlgoWay. This script can be used as TradingView indicator automation, enabling traders to build a TradingView strategy from indicators and route TradingView alerts through an AlgoWay connector TradingView workflow for multi-platform execution. Why this adapter is needed Most TradingView indicators are not available as strategies. Traders often receive visual signals or alerts but have no access to objective statistics such as win rate, drawdown, or profit factor. This adapter solves that problem by providing a generic framework that transforms indicator signals into a backtestable strategy — without modifying indicator code and without requiring Pine Script knowledge. Input source–based design (including closed indicators) All conditions in TRALADAL are built using input sources, which means you can connect: Event-based signals (1 / non-zero values, arrows, shapes) Indicator lines and values (EMA, VWAP, RSI, MACD, etc.) Outputs from invite-only or closed-source indicators If an indicator produces a visible signal or alert-compatible output, it can be evaluated and tested using this adapter, even when the source code is locked. Three-level signal logic The strategy uses a three-layer condition model commonly applied in discretionary and systematic trading: Signal — primary entry trigger Confirmation — directional validation Filter — additional noise reduction Each level can be enabled independently and combined using AND / OR logic, allowing traders to test multi-indicator systems without writing complex scripts. Risk management and alert execution The adapter supports practical risk parameters: Stop Loss (pips) Take Profit (pips) Trailing Stop (pips) Two execution modes are available: Strategy Mode — risk rules are applied inside the TradingView Strategy Tester Alert Mode — risk parameters are embedded into structured TradingView alerts and handled by AlgoWay during execution Position sizing follows TradingView conventions (percent of equity, cash, or contracts) to keep strategy results and alerts aligned. Typical use cases This TradingView alert adapter is intended for: Indicator-based trading systems Backtesting signals from closed or invite-only scripts Comparing multiple indicators within a single strategy Sending TradingView alerts to external trading platforms via AlgoWay The adapter does not generate signals or trading recommendations. Its purpose is to provide a transparent and testable workflow from indicator signals to TradingView alerts and automated execution.
Stratégie Pine Script®
par AlgowayConnector
2
Turtle Breakout Pro (Low DD Mode)Turtle Breakout Pro (Low DD Mode) is a trend-following breakout strategy built to participate only in higher-quality expansions while actively limiting exposure during unfavorable phases. 1. Core idea This strategy focuses on capturing directional moves that begin with a clear price expansion beyond a recent range. It aims to trade only when the market shows both direction and commitment, avoiding entries that are likely to fade back into congestion. 2. Breakout validation Signals are not triggered by a single touch or a marginal break. The strategy requires price to clear a breakout area with a safety margin and then demonstrate continued acceptance beyond that level. This confirmation behavior is designed to reduce false breakouts and late-session spikes that immediately retrace. 3. Market quality filters Trades are allowed only when broader conditions support trend continuation. The strategy can enforce a directional bias filter, a trend-strength filter, a volatility suitability check, and an optional participation filter based on activity. The intent is to avoid breakouts that occur in weak, ill-conditioned environments where continuation is statistically less reliable. 4. Adaptive risk and sizing Position size is dynamically adjusted so that risk remains proportional to current volatility. Instead of using fixed size, the strategy scales exposure based on how much the market can realistically move against the position in normal conditions. This is designed for multi-market use and for maintaining consistency across changing volatility regimes. 5. Exit framework Exits are layered rather than single-purpose. The strategy uses a protective stop to define invalidation, can progressively protect profits as the trade moves in favor, and can optionally take profits at a logical expansion distance. In addition, a structure-based exit can close positions when the market violates a shorter-term boundary, aiming to avoid giving back too much during reversals. 6. Time and stagnation control The strategy can enforce a maximum holding time to prevent capital being tied up in trades that stop progressing. If the market does not deliver continuation within a reasonable window, the position is closed to reduce opportunity cost and limit slow drawdown behavior. 7. Drawdown control behavior A key feature is its defensive trading mode. After a loss, the strategy can temporarily reduce activity by waiting before taking new trades. It can also stop initiating new positions if overall drawdown exceeds a defined tolerance relative to the equity peak. The goal is to avoid “death by a thousand cuts” during noisy regimes. 8. Best conditions It performs best when markets transition from consolidation into sustained trends, especially on liquid instruments where breakouts can carry through. It is typically more stable when volatility is present but not chaotic, and when trending conditions persist long enough for trailing protection to work. 9. When to avoid Avoid using it in tight, mean-reverting ranges and during highly erratic whipsaw periods where breakouts frequently fail. In these phases, even well-filtered breakout systems can accumulate small losses and trigger defensive pauses. 10. What to expect Expect fewer but higher-quality entries compared to basic breakout systems. Many trades will be small wins or small losses, with occasional larger winners when a strong trend develops. The strategy is designed to prioritize smoother equity behavior over maximum trade frequency.
Stratégie Pine Script®
par alblanz
A-Share Broad-Based ETF Dual-Core Timing System1. Strategy Overview The "A-Share Broad-Based ETF Dual-Core Timing System" is a quantitative trading strategy tailored for the Chinese A-share market (specifically for broad-based ETFs like CSI 300, CSI 500, STAR 50). Recognizing the market's characteristic of "short bulls, long bears, and sharp bottoms," this strategy employs a "Left-Side Latency + Right-Side Full Position" dual-core driver. It aims to safely bottom-fish during the late stages of a bear market and maximize profits during the main ascending waves of a bull market. 2. Core Logic A. Left-Side Latency (Rebound/Bottom Fishing) Capital Allocation: Defaults to 50% position. Philosophy: "Buy when others fear." Seeks opportunities in extreme panic or momentum divergence. Entry Signals (Triggered by any of the following): Extreme Panic: RSI Oversold (<30) + Price below Bollinger Lower Band + Bullish Candle Close (Avoid catching falling knives). Oversold Bias: Price deviates more than 15% from the 60-day MA (Life Line), betting on mean reversion. MACD Bullish Divergence: Price makes a new low while MACD histogram does not, accompanied by strengthening momentum. B. Right-Side Full Position (Trend Following) Capital Allocation: Aggressively scales up to Full Position (~99%) upon signal trigger. Philosophy: "Follow the trend." Strike heavily once the trend is confirmed. Entry Signals (All must be met): Upward Trend: MACD Golden Cross + Price above 20-day MA. Breakout Confirmation: CCI indicator breaks above 100, confirming a main ascending wave. Volume Support: Volume MACD Golden Cross, ensuring price increase is backed by volume. C. Smart Risk Control Bear Market Exhaustion Exit: In a bearish trend (MA20 < MA60), the strategy does not "hold and hope." It immediately liquidates left-side positions upon signs of rebound exhaustion (breaking below MA20, touching MA60 resistance, or RSI failure). ATR Trailing Stop: Uses Average True Range (ATR) to calculate a dynamic stop-profit line that rises with the price to lock in profits. Hard Stop Loss: Forces a stop-loss if the left-side bottom fishing fails and losses exceed a set ATR multiple, preventing deep drawdowns. 3. Recommendations Target Assets: High liquidity broad-based ETFs such as CSI 300 ETF (510300), CSI 500 ETF (510500), ChiNext ETF (159915), STAR 50 ETF (588000). Timeframe: Daily Chart.
Stratégie Pine Script®
par RTA-Odysseus
Xbirch_Turtle_ Crypto_CalcМодернизированная стратегия Черепах. Вход/выход по каналу Дончиана, стопы по величине ATR, возможность выбора лонг/шорт/всё. Имеется пирамидинг - добавление по +0,5ATR от первого бая, не более 4х входов. Модернизированный стоп - по ATR от первого бая. Не финансовый совет. A modernized Turtle strategy. Entry/exit based on the Donchian Channel, stops based on the ATR value, and the ability to choose long/short/all options. Pyramiding is available – adding +0.5 ATR from the first buy, with a maximum of four entries. The modernized stop is based on the ATR value from the first buy. This is not financial advice.
Stratégie Pine Script®
par Xbirch
The Engulfing Liquidity Signal with Adjustable Trailing StopEngulfing Liquidity Signal with Adjustable Trailing Stop This strategy is designed to enter long trades based on the Engulfing Liquidity Signal combined with a Trailing Stop. The strategy uses custom volume analysis and price action to detect potential market opportunities. The Trailing Stop is adjustable, allowing traders to customize the distance at which the stop will trail the price. Key Features: Engulfing Liquidity Signal: The strategy enters a trade when the market shows signs of strong liquidity and price action, typically when there is a strong reversal signal (bullish engulfing) accompanied by higher volume. Trailing Stop: A dynamic exit strategy that locks in profits by trailing the stop level behind the highest price achieved since the trade entry. This prevents the position from being closed prematurely while still protecting profits if the market reverses. Customizable Trailing Stop: Users can adjust the trailing stop percentage via the settings. This allows for greater flexibility in how closely the stop will trail the price. No Fixed Take Profit: The strategy uses only the trailing stop, ensuring that profits are maximized based on price action without a fixed profit target. How the Strategy Works: Buy Signal (LongC): The strategy triggers a buy signal when a bullish engulfing pattern occurs, and the liquidity conditions align (i.e., the volume is increasing and price action shows signs of a potential reversal). The strategy enters a long position when the signal conditions are met. Trailing Stop Logic: Once the trade is initiated, a trailing stop is applied. The stop level follows the highest price achieved since entry, trailing the price based on a user-defined percentage. The stop level adjusts upward as the price increases, locking in profits. If the price reverses and hits the trailing stop, the trade is closed. The trailing stop is dynamic, meaning it moves only in the direction of profit, but it will not move lower once it has been set. Sell Signal (ShortC): The position will also be closed if a sell signal (ShortC) is generated. This ensures that the strategy exits the trade when a potential reversal is detected in the market. No Fixed Take Profit: The strategy does not use a fixed take profit level. Instead, the profit is managed entirely by the trailing stop, which ensures that positions remain open as long as the market is moving in favor of the trade, allowing the position to capture the maximum possible profit. Settings: Trailing Stop Percentage: The user can adjust the trailing stop distance by setting a percentage value between 10% and 100%. This controls how tightly or loosely the trailing stop will follow the price. Benefits: Maximized Profits: By using a trailing stop, the strategy aims to capture as much profit as possible without prematurely exiting trades. Customizable: The adjustable trailing stop allows traders to tailor the strategy to their risk tolerance and market conditions. Simple & Effective: The strategy is straightforward, relying on price action and volume signals, making it easy to understand and implement. Ideal Use Case: This strategy is suitable for traders who prefer to let their profits run and manage risk with a trailing stop. It is particularly useful in trending markets where the price continues to move in one direction for an extended period. By using a trailing stop, the strategy allows you to stay in the market and capture large moves while protecting profits. This strategy provides an excellent combination of automated trade management with a Trailing Stop and Engulfing Liquidity Signal, making it a solid choice for traders seeking to automate their trades with customizable risk management.
Stratégie Pine Script®
par khbajako1981
Gold Smart Scalper V3 - Clean ChartOverview The Gold Smart Scalper V3 is a trend-following momentum strategy specifically optimized for XAU/USD (Gold). It focuses on catching "value pullbacks" within a strong trend, avoiding the noise of sideways markets. Unlike many scalpers that use lagging indicators for exits, this version uses fixed ATR-based targets to lock in profits during high-volatility moves common in Gold. Core Methodology The strategy operates on three layers of confirmation: Macro Trend (HTF Filter): Uses a 50-period EMA to ensure trades are only taken in the direction of the higher-timeframe momentum. The Value Zone: Instead of "chasing" green or red candles, the script waits for a pullback to the space between the 9 EMA and 21 EMA. This ensures a better risk-to-reward entry point. The Trigger: A trade is only executed when price confirms the resumption of the trend by crossing back over the signal EMA after the pullback. Key Features Fixed Profit Targets: Replaced dynamic trailing stops with fixed Take Profit (TP) and Stop Loss (SL) levels based on ATR, ensuring exits aren't "hunted" by Gold's signature volatility spikes. C lean Chart Interface : All moving average plots are hidden. The only visuals provided are the active TP/SL levels when a trade is live, keeping your workspace clutter-free. Single-Trade Logic: The script includes a "One Trade Per Cross" gate, preventing the strategy from over-trading or "stacking" positions during choppy price action. Settings & OptimizationATR Multipliers : Stop Loss (SL): Default $2.0 \times ATR$. Protects against standard market noise.Take Profit (TP): Default $3.0 \times ATR$. Designed for a high Risk/Reward profile.Timeframe Recommendation: Optimized for 15m and 1H for swing scalping, or 5m for aggressive scalping.Instrument: Specifically tuned for Gold (XAU/USD), but applicable to other high-volatility pairs like GBP/JPY or NASDAQ. Disclaimer This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Always practice proper risk management.
Stratégie Pine Script®
par techtrader_ravi
UT Bot + Hull MA Close-Cross Confirm (Strategy)UT Bot + Hull MA Close-Cross Confirm (Strategy) This strategy combines the classic UT Bot ATR trailing stop with a Hull Moving Average (HMA) close-cross confirmation to reduce false signals and improve trade quality. The system works in two stages: UT Bot Signal Detection A volatility-adjusted ATR trailing stop identifies potential trend shifts using a 1-period EMA crossover. This provides early buy and sell signals based on momentum and volatility. Hull MA Close-Cross Confirmation UT Bot signals are only confirmed once price closes across the Hull Moving Average. If a UT signal occurs on the wrong side of the Hull MA, the strategy waits until a valid close-cross occurs before triggering an entry. This confirmation step helps filter chop and late-trend reversals. Key Features Non-repainting logic (uses bar-close confirmation) Futures-friendly design (fixed contracts, point-based TP/SL) Supports Long, Short, or Both directions Built-in Take Profit & Stop Loss Configurable Hull MA type (HMA / EHMA / THMA) Optional Heikin Ashi signal source Clean Buy/Sell alerts for automation and webhook execution Trade Logic Summary Long Entry: UT Bot buy signal + confirmed close above Hull MA Short Entry: UT Bot sell signal + confirmed close below Hull MA Exit: Fixed Take Profit or Stop Loss (user-defined in points) Alerts & Automation The strategy includes dedicated Buy Alert and Sell Alert conditions designed for webhook automation (e.g., trade logging, execution engines, or external dashboards). Alerts trigger only on confirmed bar closes, matching backtest behavior. Intended Use This strategy is designed for futures markets (e.g., MNQ, ES, GC) and performs best on intraday timeframes. Session filters, risk rules, and trade management can be handled externally if desired. Disclaimer This script is provided for educational and research purposes only and is not financial advice. Always test thoroughly and use proper risk management.
Stratégie Pine Script®
par TheFuturesMonk
1
Bollinger Reversal + Swing ExitBollinger Reversal + Swing Exit is a mean-reversion strategy designed to capture short-term reversals when price stretches to an extreme and then shows the first signs of rejection. 1. Core idea This strategy assumes that sharp deviations from a central equilibrium are often followed by a corrective move back toward normal pricing. It does not chase trends. Instead, it waits for price to reach an extreme area and then looks for a controlled turn back in the opposite direction. 2. Signal concept A setup starts only after price reaches an outer extreme zone. The trade is taken only if the market immediately shows a reversal-type reaction rather than continuing to push outward. This reduces entries that happen too early while the move is still accelerating. 3. Long and short behavior Long trades are allowed only after a downside extreme has been reached and price begins to recover. Short trades are allowed only after an upside extreme has been reached and price begins to fade. The goal is to enter close enough to the extreme to keep risk contained, while still requiring evidence that the turn has started. 4. Risk control Risk is defined tightly. The protective stop is placed where the reversal thesis is clearly invalidated, so the strategy is built to accept small losses when the market does not revert and continues expanding in the same direction. 5. Exit logic Profits are taken based on local market structure rather than fixed targets. Once in a position, the strategy looks for a clear exhaustion point in the move and closes the trade when the short-term swing structure signals that the rebound or pullback has likely completed. This aims to capture the core of the corrective move without overstaying. 6. Best conditions This approach performs best in range-bound markets, during consolidations, and in instruments that frequently oscillate around a fair value. It is also useful after impulsive spikes when the move becomes overstretched and liquidity rebalances. 7. When to avoid Avoid using it during strong, clean trends and during persistent breakout phases, where extremes can keep extending and reversals can fail repeatedly. In these conditions, mean-reversion setups can be systematically punished. 8. What to expect Expect a higher trade frequency than trend-following systems, with many small-to-medium wins and occasional sharp losses when the market refuses to revert. The edge comes from disciplined entries only after extremes and quick exits when structure signals completion.
Stratégie Pine Script®
par alblanz
Turtle Multi-Market StrategyTurtle Multi-Market Strategy is a breakout trend-following approach designed to stay aligned with the dominant market direction and participate only when price proves it has enough strength to escape consolidation. 1. Core idea This strategy treats trends as permission and breakouts as proof. The market must already show a clear directional bias before any trade is considered. Only when price is consistently positioned on the correct side of the dominant direction does the strategy become active. This avoids engagement during random price movement and low-quality conditions. 2. Entry logic Trades are initiated only when price demonstrates expansion beyond a well-defined recent range, signaling that the market may be transitioning from consolidation to directional movement. An optional confirmation behavior can be used to avoid reacting to isolated spikes. In this case, the strategy waits for additional price acceptance beyond the breakout area before committing, favoring reliability over immediacy. 3. Trend quality filter The strategy can optionally require evidence of genuine trend strength before allowing entries. When this filter is active, breakouts occurring in weak or indecisive environments are ignored. This helps reduce exposure during sideways markets where breakouts are more likely to fail. 4. Risk and position sizing Risk is handled dynamically. Trade size adapts to current market volatility so that risk remains proportional across different instruments and volatility regimes. This makes the strategy suitable for use on crypto, commodities, indices, and forex without manual recalibration for each market. 5. Exit and trade management Exits are protective and progressive. A protective stop defines the initial risk and then adjusts as price moves favorably. As the trend develops, the stop follows price action, aiming to lock in gains while still allowing room for natural pullbacks. An additional safety mechanism can be enabled to exit if the market decisively re-enters the long-term equilibrium zone. This reduces exposure during sharp reversals but may also shorten otherwise valid trends. 6. How to use it This strategy is best applied to liquid markets where sustained trends can emerge and where breakouts carry informational value, such as major crypto pairs, gold, indices, and liquid forex pairs. It performs best during transitions from consolidation to expansion and during trending phases. It is not designed for mean-reverting or range-bound environments. 7. Practical workflow Apply it on higher intraday or swing-oriented timeframes. Keep the trend strength filter enabled in mixed or uncertain market conditions. Use confirmation on instruments prone to false breakouts or during news-sensitive sessions. If price repeatedly fails to sustain movement and returns to equilibrium, standing aside is part of correct execution. 8. What to expect Expect fewer trades rather than constant activity. Many positions will end with small controlled losses, while profitable trades tend to come from sustained directional moves. The edge lies in participation during expansion phases, not in high win rates or frequent signals.
Stratégie Pine Script®
par alblanz
EMA Trend Following Strategy🎯 EMA TREND FOLLOWING STRATEGY A simple yet powerful trend-following strategy designed for 1-hour timeframes across multiple markets including cryptocurrencies, commodities, indices, and forex pairs. 📊 STRATEGY LOGIC This strategy is based on the classic moving average crossover technique, one of the most reliable trend-following methods in technical analysis: - LONG ENTRIES: When the fast EMA crosses above the slow EMA, indicating the beginning of an uptrend - SHORT ENTRIES: When the fast EMA crosses below the slow EMA, indicating the beginning of a downtrend - EXITS: Positions are closed when the opposite crossover occurs, capturing the trend reversal 🛡️ RISK MANAGEMENT The strategy includes professional risk management features: - Dynamic stop-loss based on market volatility - Automatic position sizing to risk only a fixed percentage per trade - Optional take-profit levels for securing gains - Customizable risk parameters to fit your trading style ⚙️ RECOMMENDED SETTINGS - Timeframe: 1 Hour (H1) - Fast EMA: 20 periods - Slow EMA: 50 periods - Risk per trade: 1-2% of capital - Stop-loss: 2x ATR (Average True Range) 💡 BEST USE CASES This strategy works particularly well on: ✅ BTC/USD and major cryptocurrencies ✅ GOLD and precious metals ✅ S&P 500, NASDAQ, and major indices ✅ EUR/USD, GBP/USD and major forex pairs ⚠️ IMPORTANT NOTES - Always backtest on your specific market before live trading - Past performance does not guarantee future results - Use appropriate position sizing and never risk more than you can afford to lose - This strategy works best in trending markets 📈 Perfect for swing traders and those looking for a systematic approach to capture market trends!
Stratégie Pine Script®
par alblanz
NexTrade Concept NTC Strategy v3.3 BTCNexTrade Concept NTC – Strategy v3.2 BTC NexTrade Concept NTC – Strategy v3.2 BTC is a rule-based trading strategy developed for educational and analytical purposes, focused on BTC market behavior under structured, volatility-aware conditions. This strategy is not a signal service and does not guarantee profitability. Its objective is to provide a systematic framework to study how market structure, volatility regimes, and risk-defined execution interact in Bitcoin environments. Core Concept The strategy is built around clean structural logic, prioritizing: Directional bias via recent market structure (BOS / CHoCH logic) Volatility filtering to avoid low-quality conditions Risk-controlled execution using ATR-based stop validation Premium / Discount contextual positioning Displacement confirmation to avoid weak price movement All entries are generated only when multiple independent conditions align, reducing noise and over-trading. Key Components Market Structure Swing-based structure detection Trend direction tracking Recency filter to avoid outdated breaks Volatility Regime Control ATR mean comparison Optional blocking of low-volatility environments Cooldown system after position exits Displacement Validation Optional requirement of real price expansion Body-to-ATR proportional confirmation Risk & Execution Logic Fixed percentage risk per trade Dynamic position sizing based on stop distance Predefined Risk-to-Reward framework One-position-at-a-time logic (no pyramiding) Important Notes This script is intended for backtesting, research, and learning purposes only. It does not provide financial advice. Performance results depend on market conditions, execution settings, and user configuration. Always validate any strategy in a simulated environment before considering real-world use. Recommended Use BTC-focused analysis Intraday to swing timeframes Study of volatility-adjusted structure-based trading Strategy optimization and parameter research
Stratégie Pine Script®
par NexTrade_Academy
RSI Strategy with Auto Tuner (PF)# RSI Auto‑Tuner Strategy — How To Use This document explains **how to use** the RSI Auto‑Tuner strategy. It intentionally avoids math and implementation details. Follow this as an operating guide. --- ## 1. What This Tool Is For This strategy helps you: * Discover **which RSI length works best** on a given ticker and timeframe * Measure performance using **Profit Factor (PF)** * Improve RSI performance on noisy markets by **transforming price first** The auto‑tuner is a **research tool**, not a live trading signal generator. --- ## 2. Two Modes You Must Treat Differently ### Research Mode Used to explore and discover parameters. * Auto‑Tune: **ON** * Parameters are allowed to change * Results may look very good * Overfitting risk is real ### Trading Mode Used for forward testing or live trading. * Auto‑Tune: **OFF** * Parameters are fixed * Behavior is stable and repeatable * This is the only acceptable mode for live use **Never trade live with Auto‑Tune enabled.** --- ## 3. Manual Mode (Trading Mode) Use this after parameters are finalized. Steps: 1. Set **Auto‑Tune = OFF** 2. Choose: * Source (raw price or transformed price) * RSI Length (manual, default 14) * Oversold / Overbought levels 3. The strategy will: * Enter long when RSI crosses up through Oversold * Enter short when RSI crosses down through Overbought * Flip positions on opposite signals This mode is predictable and safe for forward testing. --- ## 4. Auto‑Tune Mode (Research Mode) Use this to find optimal RSI lengths. Steps: 1. Set **Auto‑Tune = ON** 2. Configure the search range: * Minimum Length (default 5) * Maximum Length (default 14) * Step Size (default 1) 3. The strategy will: * Internally simulate trades for each RSI length * Track gross profit, gross loss, and trades * Select the length with the highest Profit Factor 4. The best length is applied automatically Auto‑Tune evaluates historical data only. --- ## 5. Using a Transform on Price (Critical) RSI does **not** have to run on raw price. You can significantly improve results by: * Applying a **price transform** first * Feeding the transformed series into the RSI Source input Examples of transforms: * Moving averages * Low‑pass filters * Butterworth filters * Any smoother or denoiser Why this works: * Busy, wicky markets cause RSI to whipsaw * Transforms remove micro‑noise * RSI responds to structure instead of chaos * Profit Factor often increases dramatically Best practice: * Auto‑tune on raw price * Auto‑tune on transformed price * Compare PF, trade count, and stability --- ## 6. Reading the Status Label At the last bar, the on‑chart label shows: * Whether Auto‑Tune is ON or OFF * Whether candidates were built successfully * Number of RSI lengths tested * Best RSI length found * Profit Factor and trade count If Auto‑Tune is OFF, the label shows the manual length. --- ## 7. Recommended Workflow 1. Choose ticker and timeframe 2. Enable Auto‑Tune on **raw price** 3. Record best RSI length and PF 4. Enable Auto‑Tune on **transformed price** 5. Compare results 6. Lock parameters 7. Disable Auto‑Tune 8. Forward test --- ## 8. Warnings and Discipline * High PF with few trades is unreliable * Transforms can hide execution costs * Always validate on a different period * Auto‑Tune is a **lens**, not an edge Treat this tool as a research microscope, not an autopilot.
Stratégie Pine Script®
par AJSwogger
1