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Macro Momentum – 4-Theme, Vol Target, RebalanceMacro Momentum — 4-Theme, Vol Target, Rebalance Purpose. A macro-aware strategy that blends four economic “themes”—Business Cycle, Trade/USD, Monetary Policy, and Risk Sentiment—into a single, smoothed Composite signal. It then: gates entries/exits with hysteresis bands, enforces optional regime filters (200-day bias), and sizes the position via volatility targeting with caps for long/short exposure. It’s designed to run on any chart (index, ETF, futures, single stocks) while reading external macro proxies on a chosen Signal Timeframe. How it works (high level) Build four theme signals from robust macro proxies: Business Cycle: XLI/XLU and Copper/Gold momentum, confirmed by the chart’s price vs a long SMA (default 200D). Trade / USD: DXY momentum (sign-flipped so a rising USD is bearish for risk assets). Monetary Policy: 10Y–2Y curve slope momentum and 10Y yield trend (steepening & falling 10Y = risk-on; rising 10Y = risk-off). Risk Sentiment: VIX momentum (bearish if higher) and HYG/IEF momentum (bullish if credit outperforms duration). Normalize & de-noise. Optional Winsorization (MAD or stdev) clamps outliers over a lookback window. Optional Z-score → tanh mapping compresses to ~ for stable weighting. Theme lines are SMA-smoothed; the final Composite is LSMA-smoothed (linreg). Decide direction with hysteresis. Enter/hold long when Composite ≥ Entry Band; enter/hold short when Composite ≤ −Entry Band. Exit bands are tighter than entry bands to avoid whipsaws. Apply regime & direction constraints. Optional Long-only above 200MA (chart symbol) and/or Short-only below 200MA. Global Direction control (Long / Short / Both) and Invert switch. Size via volatility targeting. Realized close-to-close vol is annualized (choose 9-5 or 24/7 market profile). Target exposure = TargetVol / RealizedVol, capped by Max Long/Max Short multipliers. Quantity is computed from equity; futures are rounded to whole contracts. Rebalance cadence & execution. Trades are placed on Weekly / Monthly / Quarterly rebalance bars or when the sign of exposure flips. Optional ATR stop/TP for single-stock style risk management. Inputs you’ll actually tweak General Signal Timeframe: Where macro is sampled (e.g., D/W). Rebalance Frequency: Weekly / Monthly / Quarterly. ROC & SMA lengths: Defaults for theme momentum and the 200D regime filter. Normalization: Z-score (tanh) on/off. Winsorization Toggle, lookback, multiplier, MAD vs Stdev. Risk / Sizing Target Annualized Vol & Realized Vol Lookback. Direction (Long/Short/Both) and Invert. Max long/short exposure caps. Advanced Thresholds Theme/Composite smoothing lengths. Entry/Exit bands (hysteresis). Regime / Execution Long-only above 200MA, Short-only below 200MA. Stops/TP (optional) ATR length and SL/TP multiples. Theme Weights Per-theme scalars so you can push/pull emphasis (e.g., overweight Policy during rate cycles). Macro Proxies Symbols for each theme (XLI, XLU, HG1!, GC1!, DXY, US10Y, US02Y, VIX, HYG, IEF). Swap to alternatives as needed (e.g., UUP for DXY). Signals & logic (under the hood) Business Cycle = ½ ROC(XLI/XLU) + ½ ROC(Copper/Gold), then confirmed by (price > 200SMA ? +1 : −1). Trade / USD = −ROC(DXY). Monetary Policy = 0.6·ROC(10Y–2Y) − 0.4·ROC(10Y). Risk Sentiment = −0.6·ROC(VIX) + 0.4·ROC(HYG/IEF). Each theme → (optional Winsor) → (robust z or scaled ROC) → tanh → SMA smoothing. Composite = weighted average → LSMA smoothing → compare to bands → dir ∈ {−1,0,+1}. Rebalance & flips. Orders fire on your chosen cadence or when the sign of exposure changes. Position size. exposure = clamp(TargetVol / realizedVol, maxLong/Short) × dir. Note: The script also exposes Gross Exposure (% equity) and Signed Exposure (× equity) as diagnostics. These can help you audit how vol-targeting and caps translate into sizing over time. Visuals & alerts Composite line + columns (color/intensity reflect direction & strength). Entry/Exit bands with green/red fills for quick polarity reads. Hidden plots for each Theme if you want to show them. Optional rebalance labels (direction, gross & signed exposure, σ). Background heatmap keyed to Composite. Alerts Enter/Inc LONG when Composite crosses up (and on rebalance bars). Enter/Inc SHORT when Composite crosses down (and on rebalance bars). Exit to FLAT when Composite returns toward neutral (and on rebalance bars). Practical tips Start higher timeframes. Daily signals with Monthly rebalance are a good baseline; weekly signals with quarterly rebalances are even cleaner. Tune Entry/Exit bands before anything else. Wider bands = fewer trades and less noise. Weights reflect regime. If policy dominates markets, raise Monetary Policy weight; if credit stress drives moves, raise Risk Sentiment. Proxies are swappable. Use UUP for USD, or futures-continuous symbols that match your data plan. Futures vs ETFs. Quantity auto-rounds for futures; ETFs accept fractional shares. Check contract multipliers when interpreting exposure. Caveats Macro proxies can repaint at the selected signal timeframe as higher-TF bars form; that’s intentional for macro sampling, but test live. Vol targeting assumes reasonably stationary realized vol over the lookback; if markets regime-shift, revisit volLook and targetVol. If you disable normalization/winsorization, themes can become spikier; expect more hysteresis band crossings. What to change first (quick start) Set Signal Timeframe = D, Rebalance = Monthly, Z-score on, Winsor on (MAD). Entry/Exit bands: 0.25 / 0.12 (defaults), then nudge until trade count and turnover feel right. TargetVol: try 10% for diversified indices; lower for single stocks, higher for vol-sell strategies. Leave weights = 1.0 until you’ve inspected the four theme lines; then tilt deliberately.
Estratégia Pine Script®
por GabrielAmadeusLau
Not Your Daddy's EMA CrossoverNot Your Daddy's EMA Crossover - Quick Guide What It Does This isn't your typical 50/200 EMA crossover. It uses academically-proven, optimized EMA periods specifically backtested for crypto markets. Instead of generic settings, it adapts to different trading styles with research-backed parameter combinations that have demonstrated real returns. Core Logic Enters when fast EMA crosses slow EMA in the trend direction (confirmed by 200 SMA filter) Exits either on opposite EMA cross (trend-following) or at fixed profit targets (scalping) Uses a 200 SMA to filter trades - only longs above it, only shorts below it Key Settings & Toggles 1. Trading Style (Auto-adjusts EMA periods): "15 Min Scalping": 9/21 EMA - Fast-paced, frequent signals "1 Hour Swing": 13/48 EMA - For swing trading "Daily Trend": 15/150 MA - Captured +97.87% in bull runs 2. Entry Method: "Crossover Entry": Enters immediately on EMA cross "Pullback to EMA Entry": Waits for first pullback to slow EMA (better risk/reward) 3. Exit Method: "EMA Cross Exit": Trend-following, lets winners run until EMAs reverse "Fixed % Target (Scalping)": Quick 0.5-1% profits with tight stops 4. Optional Features: MACD Confirmation: Adds 6-15-1 MACD filter for higher-probability setups Periodic Compounding: Compounds every 30 hours (research shows 1-30 hour compounding is optimal) Recommended Timeframes 📊 Match your chart to your selection: Select "15 Min Scalping" → Use 15-minute chart Select "1 Hour Swing" → Use 1-hour chart Select "Daily Trend" → Use daily chart I personally like this on the daily, which coincidentally is printing a long signal today on Bitcoin. Enjoy!
Estratégia Pine Script®
por MonkeyPhone
Universal Breakout Strategy [KedArc Quant]Description: A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system. Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns). An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis. Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading 🔑 Why it’s useful * Flexibility: Switch between breakout strategies without loading different indicators. * Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats. * Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment. * Transparency: Every trade is rule-based and displayed with entry/exit markers. 🚀 How it helps traders * Lets you experiment with breakout strategies quickly without loading multiple scripts. * Helps identify which breakout method fits your instrument & timeframe. * Gives clear on-chart visual + statistical feedback for confident decision-making. ⚙️ Input Configuration * Breakout Mode → choose which strategy to test: * *Prev Day* → breakouts of yesterday’s High/Low. * *Bollinger* → Upper/Lower BB pierce. * *Volume* → Breakout confirmed with volume above average. * *ATR Stop* → Wide range breakout using ATR filter. * *Time Filter* → Breakouts inside defined session hours. * *EMA Trend* → Breakouts only in EMA fast > slow alignment. * *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs). * *Candle Confirm* → Breakouts validated by bullish/bearish candle. * Lookback / ATR / Bollinger inputs → adjust sensitivity. * Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes. * Table options → show/hide info table, show/hide P&L stats, choose corner placement. 📈 Entry & Exit Logic * Entry → occurs when breakout condition of chosen mode is met. * Exit → default exits via opposite signals or optional stop/target if enabled. * Session filter → optional auto-flat at session end. * P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit. ❓ FAQ — Choosing the best setup Q: Which strategy should I use for which chart? * *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels. * *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression. * *Volume*: Good on equities where breakout strength is tied to volume spikes. * *ATR Stop*: Suits volatile instruments (commodities, crypto). * *EMA Trend*: Useful in trending markets (stocks, indices). * *RSI Confirm*: Adds momentum filter, better for swing trades. * *Candle Confirm*: Ideal for scalpers needing visual confirmation. * *Time Filter*: For intraday traders who want signals only in high-liquidity sessions. Q: What timeframe should I use? * Intraday traders → 5m to 15m (Time Filter, Candle Confirm). * Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop). * Position traders → Daily (Prev Day, Bollinger). * Breakout A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts). * Prev Day High/Low Formula: Prev High = High of (Day ) Prev Low = Low of (Day ) * Bollinger Bands Formula: Basis = SMA(Close, Length) Upper Band = Basis + (Multiplier × StdDev(Close, Length)) Lower Band = Basis – (Multiplier × StdDev(Close, Length)) * Volume Confirmation A breakout is only valid if: Volume > SMA(Volume, Length) * ATR (Average True Range) Measures volatility. Formula: ATR = SMA(True Range, Length) where True Range = max(High–Low, |High–Close |, |Low–Close |) * EMA (Exponential Moving Average) Weighted moving average giving more weight to recent prices. Formula: EMA = (Price × α) + (EMA × (1–α)) with α = 2 / (Length + 1) * RSI (Relative Strength Index) Momentum oscillator scaled 0–100. Formula: RSI = 100 – (100 / (1 + RS)) where RS = Avg(Gain, Length) ÷ Avg(Loss, Length) * Candle Confirmation Bullish candle: Close > Open AND Close > Close Bearish candle: Close < Open AND Close < Close Win Rate (%) Formula: Win Rate = (Winning Trades ÷ Total Trades) × 100 * Average Trade P&L Formula: Avg Trade = Net Profit ÷ Total Trades 📊 Performance Notes The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen. On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size. Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable. The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework. Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions. Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline. 👉 Traders are encouraged to: Experiment with inputs such as ATR period, breakout length, or Bollinger parameters. Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups. Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Estratégia Pine Script®
por kedarcquant
2
Intraday Momentum for Volatile Stocks 29.09The strategy targets intraday momentum breakouts in volatile stocks when the broader market (Nifty) is in an uptrend. It enters long positions when stocks move significantly above their daily opening price with sufficient volume confirmation, then manages the trade using dynamic ATR-based stops and profit targets. Entry Conditions Price Momentum Filter: The stock must move at least 2.5% above its daily opening price, indicating strong bullish momentum. This percentage threshold is customizable and targets gap-up scenarios or strong intraday breakouts. Volume Confirmation: Daily cumulative volume must exceed the 20-day average volume, ensuring institutional participation and genuine momentum. This prevents false breakouts on low volume. Market Regime Filter: The Nifty index must be trading above its 50-day SMA, indicating a favorable market environment for momentum trades. This macro filter helps avoid trades during bearish market conditions. Money Flow Index: MFI must be above 50, confirming buying pressure and positive money flow into the stock. This adds another layer of momentum confirmation. Time Restriction: Trades are only initiated before 3:00 PM to ensure sufficient time for position management and avoid end-of-day volatility. Exit Management ATR Trailing Stop Loss: Uses a 3x ATR multiplier for dynamic stop-loss placement that trails higher highs, protecting profits while giving trades room to breathe. The trailing mechanism locks in gains as the stock moves favorably. Profit Target: Set at 4x ATR above the entry price, providing a favorable risk-reward ratio based on the stock's volatility characteristics. This adaptive approach adjusts targets based on individual stock behavior. Position Reset: Both stops and targets reset when not in a position, ensuring fresh calculations for each new trade. Key Strengths Volatility Adaptation: The ATR-based approach automatically adjusts risk parameters to match current market volatility levels. Higher volatility stocks get wider stops, while calmer stocks get tighter management. Multi-Timeframe Filtering: Combines intraday price action with daily volume patterns and market regime analysis for robust signal generation. Risk Management Focus: The strategy prioritizes capital preservation through systematic stop-loss placement and position sizing considerations. Considerations for NSE Trading This strategy appears well-suited for NSE intraday momentum trading, particularly for mid-cap and small-cap stocks that exhibit high volatility. The Nifty filter helps align trades with broader market sentiment, which is crucial in the Indian market context where sectoral and index movements strongly influence individual stocks. The 2.5% threshold above open price is appropriate for volatile NSE stocks, though traders might consider adjusting this parameter based on the specific stocks being traded. The strategy's emphasis on volume confirmation is particularly valuable in the NSE environment where retail participation can create misleading price movements without institutional backin
Estratégia Pine Script®
por sahajsharma
2
顺序三连穿越：2/3先入 + 3/3加仓（仅低波动过滤）策略描述（中文） 本策略基于 顺序三连穿越 原则：当 MA5 依次上穿 MA10、MA30、MA60 时，触发趋势做多信号；反之依次下穿时触发做空信号。 在完成 2/3 穿越时即可先行入场，完成 3/3 穿越时可选择加仓确认。 为减少震荡磨损，策略引入了布林带带宽过滤：当市场波动率过低时禁止入场。同时设有 冷静期，避免刚出场后立即反复进场。 该系统适用于趋势性较强或弱趋势行情，能够较好地捕捉单边走势，但在长时间震荡行情中仍可能遭遇利润侵蚀。 Strategy Description (English) This strategy is built on the Sequential Triple Crossover principle: When the 5-period moving average (MA5) sequentially crosses above MA10, MA30, and MA60, a bullish entry is triggered. Conversely, when MA5 sequentially crosses below MA10, MA30, and MA60, a bearish entry is triggered. An early entry is allowed once 2 out of 3 crossovers are completed, while the final crossover (3/3) can optionally serve as a confirmation add-on position. To mitigate losses in choppy conditions, the system uses a Bollinger Bandwidth filter that blocks entries when volatility is too low. A cooldown period is also implemented to avoid immediate re-entries after closing a trade. This setup performs well in trending or weak-trend environments, capturing directional moves effectively, but may still suffer from profit erosion during prolonged sideways markets.
Estratégia Pine Script®
por wuxiaolin2000
Price Deviation StrategyThis strategy getting in long position only after the price drop The % of the drop is Determined by SMA for the first trade The inputs of SMA and % of the drop can be adjust from the User After that bot start taking safe trades if not take profit from the first trade The safe trades are Determined by step down deviation % and by quantity There is no Stop loss is not for one with small tolerance to getting under Take profit is average price + take profit - note if you use % trailing profit back test is not realistic but is working on real time Max Safe Trades = 15 Capital max = $30000 Doge-USDT is just a example What the Strategy Can do Green line - take profit Black line - Brake even with fee - adjust for exchange
Estratégia Pine Script®
por fullmax
6
RSI Momentum ScalperOverview The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking. Why I Created This Strategy I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets. How It Works The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management. Customizable Settings The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings: Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction. (Default: Both) RSI Length: Sets the lookback period for the RSI calculation (2 to 30). (Default: 8) A shorter length increases RSI sensitivity, suitable for volatile assets. RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries. (Default: 90) Higher values signal stronger overbought conditions. RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries. (Default: 10) Lower values indicate stronger oversold conditions. RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries. (Default: 14) Adjusts the sensitivity to price momentum. Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0). (Default: 1) Higher values require stronger volume confirmation. Volume MA Length: Sets the lookback period for the volume moving average (5 to 50). (Default: 13) Influences the volume trend sensitivity. Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0). (Default: 4.15) Determines when to close a winning trade. Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0). (Default: 1.85) Protects against significant losses. Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0). (Default: 2.55) Locks in profits as the price moves favorably. Visual Features Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position. Performance Table: Displays win rate, total trades, and net profit in the top-right corner. How to Use Add the strategy to your chart in TradingView. Adjust the input settings based on the cryptocurrency and timeframe you’re trading. Monitor the plotted exit levels for trade management. Use the performance table to assess the strategy’s performance over time. Notes Test the strategy on a demo account or with historical data before live trading. The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
Estratégia Pine Script®
por MonkeyPhone
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps — License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike). This script is a non-commercial derivative work that credits the original author and keeps the same license. What this strategy does This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger. Additions vs. the original indicator ✅ Strategy entries based on % mitigation into FVGs (long/short). ✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0. ✅ Per-FVG total volume filter (min/max) so you can skip weak boxes. ✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes. ✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG). ✅ Optional candle confirmation and cooldown between trades. ✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached). ✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN. How a trade is decided (logic overview) Detect FVGs (same rules as the original visual logic). For each FVG currently intersected by the bar, compute: Mitigation % (how deep price has entered the box). Bull%/Bear% split (internal volume share). Total volume (printed on the box) from LTF aggregation or fallback. Age (bars) since the box was created. Apply your filters: Mitigation ≥ Long/Short threshold. Volume between your min and max (if enabled). Age ≥ min bars (if enabled). Bull% / Bear% within your limits (if enabled). (Optional) the current candle must be in trade direction (confirm). If multiple FVGs qualify on the same bar, the strategy uses the most recent one. Enter long/short (no pyramiding). Exit with: Fixed Stop Loss %, and Trailing Stop that only starts after price reaches your profit trigger %. Input settings (quick guide) Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter. Mitigation % thresholds: minimal mitigation for Long and Short. TOTAL Volume filter: skip FVGs with too little/too much total volume (per box). Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max). Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes. Confirm candle: require candle direction to match the trade. Cooldown (bars): minimum bars between entries. Risk: Stop Loss % (fixed from entry price). Activate trailing at +% profit (the trigger). Trailing distance % (the trailing gap once active). Lower-TF aggregation: Auto: TF/Divisor → picks 1/3/5m automatically. Fixed: choose 1/3/5/15m explicitly. If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L. Suggested starting presets (you should optimize per market) Mitigation: 60–80% for both Long/Short. Bull/Bear share: Long: Bull% ≥ 50–70, Bear% ≤ 100. Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer. Age: ≥ 20–30 bars. Volume: pick a min that filters noise for your symbol/timeframe. Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example). Set slippage/fees in Strategy Properties. Notes, limitations & best practices Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic). Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects. No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling. Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly. Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice. Credits Visual FVG concept and original implementation: BigBeluga. This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit. License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Estratégia Pine Script®
por TagsTrading
Elliott Wave Auto + Fib Targets + Scalper Strategy (Fixed)// Elliott Wave Auto + Fib Targets + Scalper Strategy // // Fixed by expert trader: // - Replaced table with label-based visualization to avoid 'Column 2 is out of table bounds' error. // - Uses label.new to display buy/sell signal counts in top-right corner, mimicking table layout. // - Fixed array.sum() error: Replaced invalid range-based array.sum() with custom sum_array_range() function. // - Removed barstate usage to fix 'Undeclared identifier barstate' error. // - Replaced barstate.isconfirmed with true (process every bar). // - Replaced barstate.isfirstconfirmed with bar_index == 0 (first bar). // - Replaced strategy.alert with label.new for long/short entry signals (buy/sell markers). // - Fixed array index out-of-bounds: Protected array.get() calls with size checks. // - Fixed pyramiding: Set constant pyramiding=4 (max 5 entries); use allow_pyramiding to limit entries. // - Fixed default_qty_value: Set constant default_qty_value=100.0; use entry_size_pct to scale qty. // - Replaced alertcondition with labels for Elliott Wave patterns. // - Fixed partial exits: 50% at TP1 with fixed SL, 50% at TP2 with fixed SL or trailing. // - Fixed Elliott Wave pivot indexing for alternating H/L check. // - Ensured proper position sizing and exit logic.
Estratégia Pine Script®
por shravanreddy0808
2
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System ## WHAT THIS STRATEGY DOES: This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Version**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Trading enabled - If ATR < threshold: No signals fire This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement. ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge. ### Stop Loss Placement: Stop losses are placed just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits. ### Trade Execution Logic: When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position): 1. Calculate entry price at zone boundary 2. Calculate TP and SL based on selected method 3. Execute strategy.entry() with calculated position size 4. Place strategy.exit() with TP limit and SL stop orders 5. Update info table with active trade details The strategy enforces one position at a time by checking strategy.position_size == 0 before entry. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ### Position Sizing System: Three methods calculate position size: **Fixed Contracts**: - Uses exact contract quantity specified in settings - Best for futures traders (e.g., "trade 2 NQ contracts") **Percentage of Equity**: - position_size = (strategy.equity × equity_pct / 100) / close - Dynamically scales with account growth **Cash Amount**: - position_size = cash_amount / close - Maintains consistent dollar exposure regardless of price ## INPUT PARAMETERS: ### Position Sizing: - **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount - **Number of Contracts**: Fixed quantity per trade (1-1000) - **% of Equity**: Percentage of account to allocate (1-100%) - **Cash Amount**: Dollar value per position ($100+) ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long entries on/off - **Enable Short Scalps**: Toggle short entries on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time strategy status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Color Settings**: Customize long/short/TP/SL colors ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short entries - **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status ## HOW TO USE: ### For 1-3 Minute Scalping (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars - Position Size: 1-2 contracts ### For 5-15 Minute Day Trading: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - Position Size: Fixed contracts or 5-10% equity ### For 30-60 Minute Swing Scalping: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - Position Size: % of equity recommended ## BACKTEST CONSIDERATIONS: - Strategy performs best in ranging, mean-reverting markets - Strong trending markets produce more stop losses as price breaks channels - ATR filter significantly reduces trade count but improves quality during low volatility - Cooldown period trades signal quantity for signal quality - Commission and slippage materially impact sub-5-minute timeframe performance - Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions - % of Channel TP adapts better to varying channel sizes than fixed points - Fixed contract sizing recommended for consistent risk per trade in futures **Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability. ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality. ## KNOWN LIMITATIONS: - Immediate touch entry can fire multiple times in choppy zones without adequate cooldown - Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size - ATR filter from lower timeframes requires higher-tier TradingView subscription (request.security limitation) - Mean reversion logic fails in strong breakout scenarios leading to stop loss hits - Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price - No partial closing capability - full position exits at TP or SL only - Strategy does not account for gap openings or overnight holds ## RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively. ## ACKNOWLEDGMENT & CREDITS: This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table.
Estratégia Pine Script®
por TradeManager_PRO
KD The ScalperWe have to take the trade when all three EMAs are pointing in the same direction (no criss-cross, no up/down, sideways). All 3 EMAs should be cleanly separated from each other with strong spacing between them; they are not tangled, sideways, or messy. This is our first filter before entering the trade. Are the EMAs stacked neatly, and is the price outside of the 25 EMA? If price pulls back and closes near or below the 25 or 50 EMA and breaks the 100 EMA, we don't trade. Use the 100 EMA as a safety net and refrain from trading if the price touches or falls below the 100 EMA. 1. Confirm the trend- All 3 EMAs must align, and they must spread 2. Watch price pull back to the 25th or the 50 EMA 3. Wait for the price to bounce - And re-approach the 25 EMA Why is this powerful? Removes 80% of the low-probability Trades It keeps you out of choppy markets Avoids Reversal Traps Anchors us to momentum We take the entry when the price moves up again and touches the 25 EMA from below, and then when it breaks above the 25 EMA, or even better, when a lovely green bullish candle forms. A bullish candle indicates good momentum. When a bullish candle closes in green, it means the momentum has increased significantly. This is when we enter a long trade, with the stop-loss just below the 50 EMA and the profit target being 1.5 times the stop-loss. The same rule applies to the bearish trade.
Estratégia Pine Script®
por krish16887
1
Liquidity+FVG+OB Strategy (v6)How the strategy works (summary) Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB). Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB). Stop Loss and Take Profit are placed using ATR multiples (configurable). Position sizing is fixed contract/lot size (configurable). You can require OB confirmation (within ob_confirm_window bars). Alerts still exist and visuals are preserved.
Estratégia Pine Script®
por shiyamsunder87