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Understanding order sizestype: properties manipulation, no programming needed time required: 15minutes, at least level: medium (need to know contracts, trading pairs) A strategy can "appear" to work or be broken depending on the pile of cash that is working on. This amount is defined in the strat properties, under "order size". For noobs (like me) this is very confusing at first :) A strat opens/closes positions using units, a generic measure for the chart being operated on. Thes "units" can be a fixed amount of cash, a fixed amount of contracts, or a floating amount based on the last profits made. I recommend checking my previous strat to figure the case of contracts . So, any trading price is the amount of "things" you get for some "cash". The things are the first unit, the "cash" is the second. Some examples: XAU/USD - 1 xau oz is worth x dollars BTC/USD - 1 bitcoin is worth x dollars GBP/EUR - 1 pound is worth x euros To add to confusion, a lot of markets the "unit size" is different from what the strat thinks it is. An options contract is 100 shares(the unit), 1 xau contract is 10 oz(units), 1 eur/usd contract is 100k euros and so on... so, after figuring out how the sizes work in a strat, then the sizes must be adapted for the specific market in question. The choice os using the ETHUSD pair is because: 1 - you can buy 1eth, unlike a gold contract for example, so 1 "unit" = 1 eth, easier to get 2 - ETH is around 12 bucks, wich gives round numbers on the math, easier to wrap the brains around :) 3- is an unusual pair, so the regular contract sizes don't apply, and the brain is not conditioned to work inside the box ;) You will have to access the script properties, to change the values. As these values are changed you will see exactly the differences in the values of the strat. Text is too long, check the comments for all the cases
Strategi Pine Script®
oleh deimosaffair
7
BarUpDn time limitedtrying to understand strategies, it appears that there is a lot of black magic in how a strat works behind the scenes. anyway, it's hard to analyse what's all the data with one gazillion entries, and i wanted to know how we can manipulate/do stuff with a chart. so, i needed to know how to "give" the script my values to work on. bundled two wants/needs into one, and created a script that only applies a strategy from the date given onwards. how to use: at the chart, go to the "format" little button, then the input tab, and there is all the date fields i created. fun to set it to the current date, then start going backwards and see all the little arrows filing up the chart :)
Strategi Pine Script®
oleh deimosaffair
7
Parabolic SAR Strategy with MACD Confirmation & Trend Zone Highl📝 Description (SEO + Follower-Friendly): 🚀 Powerful Trend Strategy Using Parabolic SAR + MACD This advanced Pine Script combines the classic Parabolic SAR trend-following system with MACD crossover confirmation, improving entry precision and filtering out false signals. The script also features: ✅ Dynamic trend zone background highlighting when SAR is below price ✅ MACD filter ensures trades align with market momentum ✅ Custom SAR logic with adaptive acceleration ✅ Clean visual SAR plots for easy trend tracking ✅ Fully backtestable with strategy.entry logic 🔎 Ideal for traders seeking early trend entries, momentum confirmation, and visual clarity. 📈 Works on all timeframes and pairs — perfect for swing traders, scalpers, and crypto enthusiasts. 💡 Use it as a base strategy or combine with your favorite indicators. ❤️ If you find this helpful, don't forget to like, comment, and follow for more premium strategies!
Strategi Pine Script®
oleh tarangbharti18
Backtest [OptAlgo]This backtest script is designed to convert ideas or indicators into backtest results. The script creates buy/sell signals by comparing price sources against fixed values or other imported plots using many comparison methods. It has many features including multiple exit systems: TP/SL, custom plot-based stops and more. It supports full trading automation through webhook alerts with live signal processing. 🔢 Signal Creation System     → Values Group : Compare price sources against fixed numerical values     → Plots Group : Compare two different price sources/indicators against each other     → Flexible Comparisons : 15+ comparison methods (equal, crossover, rising...)     → Signal Types : Long, Short, Close All, Block signals, and combination signals     → Merge Rules : Minimum condition requirements for signal activation 🔀 Advanced Signal Logic     → Counter Signals : Choose between reversing positions or closing them     → Signal Inversion : Flip all buy/sell signals with one toggle     → External Signal Import : Import coded signals (1=Long, -1=Short, 0=Close)     → Day Blocker : Enable/disable trading on specific weekdays     → Session Control : Limit trading to specific market sessions ⚙️ Strategy Settings     → Position Sides : All Ways, Long Only, or Short Only modes     → Signal Control : Individual enable/disable for long and short signals     → Counter Signal Mode : Reverse Open Position vs Close Open Position     → Signal Reversal : Global signal inversion capability 🔰 Risk Management (Limiter Settings)     → Leverage Control : Leverage with liquidation warnings     → Drawdown Limit : Auto-halt strategy at specified drawdown percentage     → Tradable Ratio : Use portion of available balance (0.01-1.0)     → Contract Limit : Cap maximum contract size regardless of balance 🎯 TP/SL System     → Fixed TP/SL : Set percentage-based take profit and stop loss     → Custom Plot Stops : Use any indicator/plot as dynamic stop loss     → ATR-Based Exits : Volatility-adjusted TP/SL using Average True Range     → Realistic Protection : Prevents unrealistic TP/SL prices in live trading     → Stop Modes : Instant (Sudden) vs Candle Close execution     → ATR Stop Loss : Override fixed SL with volatility-based calculations     → ATR Take Profit : Dynamic TP based on market volatility     → Trailing Options : Safe, Normal, or Aggressive trailing methods     → Calculation Modes : Normal, Volume-weighted, or Limited (with max %) options     → Volume Integration : ATR levels adjust based on volume influx 🤖 Automation & Alerts     → Webhook Integration : Send JSON alerts for automated execution     → Live Signals : Real-time signal processing (every tick vs bar close)     → Strategy Key : Unique identifier for automated systems     → Early Entry : Send alerts X seconds before candle close     → Fast Execution : Prevent signal lag in automated trading 🐞 Development Tools     → Alert Plotting : Visualize signals directly on chart (disable for live alerts)     → Professional Mode : Remove UI controls for faster calculation     → Debug : Metrics are plotted in data window. 📊 Key Advantages     → Multi-Condition Logic : Combine multiple indicators with flexible rules     → Risk-First Design : Built-in drawdown and leverage protection     → Automation Ready : Full webhook and alert system integration ⚠️ Important Warnings     → High leverage combined with high SL may adjust to liquidation price     → Use consistent leverage across all strategies on same trading isolated margin pair     → Live signals require "Calculate on every tick" enabled in settings     → Disable alert plotting when creating actual alerts to prevent latency
Strategi Pine Script®
oleh OptAlgo
SPXL Futures Strategy- Buy/sell signals for SPXL using futures momentum. - For real-time signals at close, use ES1! on 2 minute chart and sign up for real-time cboe mini futures data feed in tradingview. - All buys and sells are at near close of US RTH market at 4pm. - Best to use the script with other breadth signals to decide on trading strategy. - Script is compatible with SPY, SPXL, RSP, QQQ, TQQQ and many other SPX correlated tickers, however it’s primarily developed for SPX.
Strategi Pine Script®
oleh timtr4d3
23
LFH/ Long positions using MACD histogram, long EMA and short EMADisclaimer: I'm a noob. Hey there! I'm trying to implement a script which enter market long position when long EMA crossover short EMA and MACD histogram is positive and histogram at T time is lesser than histogram at T-1. And when short EMA crossover long EMA, plus MACD histogram is negative and histogram at T is greater than histogram at T-1, I want the script to exit market long position. Now, I have something pretty close to what I am looking for. What I am missing and can't figure out yet is: How to moderate entries, ie. I would like it to enter positions when trends are really interesting not just every time the conditions are fulfilled (same for exits) as there is way too much positions I need to find a way to exit appropriated positions.
Strategi Pine Script®
oleh AdrienKiplingi
D Money – EMA/TEMA Touch Strategy (Distance) What it’s trying to capture You want mean-reversion “tags” back to a moving average after price has stretched away and momentum flips: Bearish setup (short): price has been above EMA(9) for a few bars, then MACD turns bearish, and price is far enough above the EMA (by an adaptive threshold). Exit when price tags the EMA. Bullish setup (long): price has been below your chosen TEMA rail (actually an EMA of 50/100/200 you pick) for a few bars, then MACD turns bullish, and price is far enough below that TEMA. Exit when price tags that TEMA. The moving averages it uses EMA(9) — your fast “tag” for short take-profits. “TEMA line” input = one of EMA(50) / EMA(100) / EMA(200). (Labelled “Chosen TEMA” in the plot; it’s an EMA rail you pick.) When it will enter trades It requires four things per side: Short (EMA-Touch Short) MACD bearish cross on the signal bar If “Require NO MA touch on cross bar” = true, the bar’s low must be above EMA(9), so it didn’t touch EMA on the cross bar (fake-out guard). Extension/Context: you’ve had at least barsAbove consecutive closes above EMA(9) (default 3), so it’s truly stretched. Distance test: absolute % distance from price to EMA(9) must be ≥ minDistEMA_eff (an adaptive threshold; details below). Bounce filter: there was no bullish bounce off the EMA in the last bounceLookback bars (excluding the current one). If all pass and you’re inside the backtest window → strategy.entry short. Long (TEMA-Touch Long) MACD bullish cross on the signal bar With the same fake-out guard: the bar’s high must be below the chosen TEMA if the guard is on. Extension/Context: at least barsAbove consecutive closes below the chosen TEMA. Distance test: absolute % distance from price to TEMA must be ≥ minDistTEMA_eff (adaptive). Bounce filter: there was no bearish bounce off the TEMA in the last bounceLookback bars. If all pass and you’re in the window → strategy.entry long. MACD timing option: If Pure MACD Timing = ON, it only checks for the cross. If OFF (default), it also enforces “no touch on the cross bar” if that checkbox is true. That’s your “fake-out” filter. The adaptive distance threshold (the “secret sauce”) You can choose how “far enough away” is determined—per side: Fixed % Short uses Fixed: Min distance ABOVE EMA (%) Long uses Fixed: Min distance BELOW TEMA (%) Auto (ATR%) (default) Short threshold = max(floorEMA, kAtrShort × ATR%) Long threshold = max(floorTEMA, kAtrLong × ATR%) This scales distance by recent volatility, with a floor. Auto (AvgDist%) Short threshold = max(floorEMA, kAvgShort × average(|Dist to EMA|) over avgLen) Long threshold = max(floorTEMA, kAvgLong × average(|Dist to TEMA|) over avgLen) This adapts to the instrument’s typical stretch away from the rails. These become minDistEMA_eff and minDistTEMA_eff and are re-computed each bar. Fake-out / bounce logic (the “don’t get tricked” part) A touch means the bar’s high/low overlapped the MA ± a small buffer % (touchBufPct). A bounce is a touch plus a close on the “wrong” side (e.g., touch EMA and close above it on shorts = bullish bounce). The script blocks entries if a bounce happened within bounceLookback bars (excluding the current signal bar). Exits & risk Take profit: when price touches the target MA: Short TP = touch EMA(9) Long TP = touch chosen TEMA Stop loss: either ATR stop: entry ± (atrMultStop × ATR) (default ON), or Percent stop: entry × (1±stopPct%) Time stop: if timeExitBars > 0, close after that many bars if still open. Quality-of-life features Backtest window (btFrom, btTo) so you can limit evaluation. Labels on signal bars that show: MACD bucket (Small/Moderate/HUGE/Violent — based on % separation on the bar), the current absolute distance to the target MA, and the effective minimum the engine used (plus which engine mode). Data Window fields so you can audit: abs distance to EMA/TEMA, the effective min distance used on each side, ATR%, average absolute distances (for the AvgDist mode). Alerts fire when a short/long signal is confirmed. Optional debug panel to see the exact booleans & thresholds the bar had. Quick mental model Are we properly stretched away from the rail (by an adaptive threshold) and held on that side for a few bars? Did MACD flip the way we want without price already tagging the rail that bar? Have we avoided recent bounces off that rail (no fake-out)? → If yes, enter and aim for a tag back to the rail, with ATR/% stop and optional time stop. If you want, I can add a simple on-chart “rating” (0–100) similar to your Python scorer (distance beyond min, MACD bucket, extension streak) so you can visually rank signals in TradingView too.
Strategi Pine Script®
oleh dareolowoniyi
USDJPY Fair Value Gap + Session Strategy🎯 Overview This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators. 🔬 What Are Fair Value Gaps? Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure: Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones. (see the generated image above) (see the generated image above) FVG Detection Logic: text // Bullish FVG: Gap between high and current low bullishFVG = low > high and high > high // Bearish FVG: Gap between low and current high bearishFVG = high < low and low < low 🌏 Session-Based Trading Why Sessions Matter for USDJPY (see the generated image above) Tokyo Session (00:00-09:00 UTC) Highest volatility during first hour (00:00-01:00 UTC) Average movement: 51-60 pips Best for breakout strategies London/NY Overlap (13:00-16:00 UTC) Maximum liquidity and institutional participation Tightest spreads and most reliable FVG formations Optimal for continuation trades Monday Premium Effect USDJPY moves 120+ pips on Mondays due to weekend positioning Enhanced FVG formation during session opens 📊 Strategy Components (see the generated image above) 1. Fair Value Gap Detection Identifies bullish and bearish FVGs automatically Age limit: FVGs expire after 20 bars to avoid stale setups Size filter: Minimum gap size to filter out noise 2. Session Filtering Tokyo Open focus: Trades during first hour of Asian session London/NY Overlap: Captures high-liquidity institutional flows Weekend gap strategy: Enhanced signals on Monday opens 3. Volume Confirmation Requires 1.5x average volume spike Confirms institutional participation Reduces false signals 4. Trend Alignment 50 EMA filter ensures trades align with higher timeframe trend Long trades above EMA, short trades below Prevents costly counter-trend trades 5. Risk Management 2:1 Risk/Reward minimum ensures profitability with 40%+ win rate Percentage-based stops adapt to USDJPY volatility (0.3% default) Configurable position sizing 🎯 Entry Conditions (see the generated image above) Long Entry (BUY) ✅ Bullish FVG detected in previous bars ✅ Price returns to FVG zone during active trading session ✅ Volume spike above 1.5x average ✅ Price above 50 EMA (trend confirmation) ✅ Bullish candle closes within FVG zone ✅ Trading during Tokyo open OR London/NY overlap Short Entry (SELL) ✅ Bearish FVG detected in previous bars ✅ Price returns to FVG zone during active trading session ✅ Volume spike above 1.5x average ✅ Price below 50 EMA (trend confirmation) ✅ Bearish candle closes within FVG zone ✅ Trading during Tokyo open OR London/NY overlap 📈 Expected Performance Backtesting Results (Based on Similar Strategies): Win Rate: 44-59% (profitable due to high R:R ratio) Average Winner: 60-90 pips during London/NY sessions Average Loser: 30-40 pips (tight stops at FVG boundaries) Risk/Reward: 2:1 minimum, often 3:1 during strong trends Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps Why This Works for USDJPY: 90% correlation with US-Japan bond yield spreads High volatility provides sufficient pip movement Heavy institutional/central bank participation creates clear FVGs Consistent volatility patterns across trading sessions ⚙️ Configurable Parameters Session Settings: Trade Tokyo Session (Enable/Disable) Trade London/NY Overlap (Enable/Disable) FVG Settings: FVG Minimum Size (Filter small gaps) Maximum FVG Age (20 bars default) Show FVG Markers (Visual display) Volume Settings: Use Volume Filter (Enable/Disable) Volume Multiplier (1.5x default) Volume Average Period (20 bars) Trend Settings: Use Trend Filter (Enable/Disable) Trend EMA Period (50 default) Risk Management: Risk/Reward Ratio (2.0 default) Stop Loss Percentage (0.3% default) 🎨 Visual Indicators 🟡 Yellow Line: 50 EMA trend filter 🟢 Green Triangles: Long entry signals 🔴 Red Triangles: Short entry signals 🟢 Green Dots: Bullish FVG zones 🔴 Red Dots: Bearish FVG zones 🟦 Blue Background: Tokyo open session 🟧 Orange Background: London/NY overlap 📊 Recommended Settings Optimal Timeframes: Primary: 5-minute charts (scalping) Secondary: 15-minute charts (swing trading) Parameter Optimization: Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default) Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x Risk Management: Maximum 1-2% of account per trade Daily loss limit: Stop after 3-5 consecutive losses Use fixed percentage position sizing ⚠️ Important Considerations Avoid Trading During: Major news events (BOJ interventions, NFP, FOMC) Holiday periods with reduced liquidity Low volatility Asian afternoon sessions When US-Japan yield differential narrows sharply Best Practices: Limit to 2-3 trades per session maximum Always respect the 50 EMA trend filter Never risk more than planned per trade Paper trade for 2-4 weeks before live implementation Track performance by session and day of week 🚀 How to Use Add the script to your USDJPY chart Set timeframe to 5-minute or 15-minute Adjust parameters based on your risk tolerance Enable strategy alerts for automated notifications Wait for visual signals (triangles) to appear Enter trades according to your risk management rules 📚 Strategy Foundation This strategy is based on: Smart Money Concepts (SMC): Institutional order flow tracking Market Microstructure: Understanding how FVGs form in electronic trading Quantified Risk Management: Statistical edge through proper R:R ratios Session Liquidity Patterns: Exploiting predictable volatility cycles
Strategi Pine Script®
oleh Stockhock
Gaussian MACD RSI v2Gaussian Filter MACD Strategy (Zero Cross + RSI Gate) What it does This strategy evaluates momentum using a Gaussian-smoothed MACD and requires a MACD zero-line cross to confirm trend initiation. A configurable RSI threshold filters weak signals, aiming to reduce whipsaws around the zero line. Entries occur only when momentum and baseline strength agree; exits are triggered by MACD crossing below its signal to capture the meat of the move while avoiding discretionary overrides. How it works (concepts, not code) Gaussian MACD: The fast/slow components are smoothed with a Gaussian-style filter to reduce noise relative to standard EMA MACD. Zero-line confirmation: Longs require MACD to cross above zero, aligning entries with positive momentum regimes. RSI gate: A threshold (default 50) further filters entries so that only setups with baseline strength qualify. Exit logic: Positions close when MACD crosses below its signal line, providing an objective exit without trailing logic. Sources: The script supports standard and Heikin-Ashi-derived sources for traders who prefer alternate preprocessing. How to use it Add the strategy to a clean chart. Keep default settings for initial testing; then adjust the RSI threshold and symbol/timeframe for your market. Favor liquid instruments where slippage and fills are reliable. Forward-test and walk-forward before any live use. Default Properties (used for this publication) Initial Capital: $25,000 Order Size: 100% of equity per trade (no leverage). Commission: 0.02% per side. Slippage: 2 ticks (or 0.02% on percent-based markets). Timeframe used for the published chart: 15-minute (example) Dataset: SPY/QQQ/large-cap equities (2+ years) producing 100+ trades in sample. Note: This strategy does not use hard stops by default. If you prefer risk caps ≤ 5–10% per trade, add a stop in the Inputs and re-publish; otherwise, this description explains the deviation per House Rules. Disclosures Backtest results are estimates; real-world fills, slippage, and availability may differ. No guarantee of performance. Use prudent position sizing and independent verification.
Strategi Pine Script®
oleh pjmauldin
AlgoIndex - All Stages (AM & Mid-Day Long/Short)Scope (read first) ES1! on 5-minute only. The strategy backtests ES fills; alerts can post JSON messages to a Webhook URL you configure. Exits are target-based with ITTC - if ES touches target intra-bar, an exit alert is sent immediately. No fixed ES stop-loss. Positions can also exit at scheduled time-based safety closes (session end, holiday/half-day, or expiration end). You can always close manually. What this is One intraday engine with four session presets (“Stages”). Stages only change session windows, trade side, and a few risk/confirmation governors—the core logic is the same. Single invite-only listing; not a multi-post suite. How it trades Opening Range (OR): Each Stage begins with a short OR at its session start; that Stage won’t take entries until its OR closes. VWAP alignment: Trade with flow. Price must align with VWAP (simple pass/fail; optional gap offset). Real breakouts only: A composite “impulse” check looks for volume expansion, recent momentum, ATR-scaled range, body/range quality, and a clean OR break (or a gap-aware extension). Entry & target: Entries occur on the signal bar’s close; targets are set in underlying (ES) units. ITTC (close on touch): If ES touches target intra-bar, ITTC sends a one-shot exit. Adds (preset by Stage): S1/S2/S3 allow up to two adds on defined ES retraces; S4 disables adds. Adds use a fixed scale-out policy handled internally—no user input required. Time-based safety closes: At the configured session end (and on holiday/half-day or expiration when applicable), any open position is closed. These are time exits, not price stops. Why traders use it A progressive filter for intraday continuity: OR context → VWAP alignment → authentic breakout (impulse) → ITTC to sync ES triggers with options execution. Stage-governed adds keep scaled positions coherent from open to close. Stages (session templates; one engine) S1 — 09:30–11:20 NY, Long-only. Standard impulse; adds ON. S2 — 09:30–11:30 NY, Short-only. Tighter breakout standard; adds ON. S3 — 11:15–15:15 NY, Long-only. Trade-protection ON; slightly lower underlying target; adds ON. S4 — 11:30–14:30 NY, Short-only. Alternative trigger governor; slightly lower underlying target; adds OFF. You can replicate any Stage via session times, side, and thresholds; presets exist for convenience and auditability. Public inputs (what you can adjust) Contracts (order size) TP (Underlying) and TP (Options) Trade Limiter (toggle) + Max profitable trades per session Session settings: Exchange Day Session times, optional Custom Time Zone, Session 1 times, optional Session 2, and day-of-week checkboxes Visual overlays (display-only): VWAP, Prior-Day High/Low, Session High/Low, Round Numbers, Bias Banner, Trade Markers Display: Inputs in status line Alerts (how to use) Create an alert on this strategy and select “Any alert() function call.” (Optional) add a Webhook URL you control to receive the JSON the script sends. Leave Message empty. Backtest vs options (read carefully) Backtests show ES fills on 5-minute bars; options pricing (IV, DTE, spreads, partial fills) isn’t simulated. Because live execution uses options, ES PnL is a directional proxy only. Evaluate quality via: trade count (target ≥100), win rate, average time-in-trade, MAE/MFE, and holding-time distribution. Do not read ES $ PnL as expected options returns—actual options outcomes depend on strike/DTE, IV regime, spreads, and execution. Defaults used in this publication (match these before interpreting results) Dataset: last 12–24 months of ES1! 5-minute RTH (to ensure ≥100 trades) Initial capital: $25,000 Commission: $1.00 per order per contract (≈ $2 round-trip) Slippage: 1 tick Order size: 1 contract; pyramiding only for Stage-governed adds No fixed ES stop-loss; exits are target-based with ITTC and scheduled safety closes Operating notes ES1! symbol only; 5-minute resolution only You can run multiple Stages in parallel via separate tabs/alerts; if you want a single net position across Stages, enforce it in your own tooling (e.g., ignore new orders while a position is open) Use a clean chart when publishing (only this strategy active) Keep results separate by using four TradingView tabs (one per Stage) Disclosures Educational research tool, not financial advice. Past or hypothetical performance does not guarantee future results. Trading involves risk, including the risk of loss. Test thoroughly and use at your own discretion.
Strategi Pine Script®
oleh MyAlgoIndex
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.
Strategi Pine Script®
oleh GabrielAmadeusLau
New Rate - PREMIUM v2New Rate – Premium Overview New Rate – Premium is a breakout strategy built around a strict “one trade per day” rule. It forms an intraday range from the first N candles, freezes High/Low at the close of candle N, and places OCO stop orders exactly on those levels. The first breakout fills and the opposite order is canceled. Exits can be managed by fixed ticks or by risk/reward (RR). The script draws SL/TP boxes, keeps entry labels at a fixed distance from price, and lets you restrict trading to selected weekdays. How it works Window & count: set timeframe, session start, and N candles. Those candles are highlighted and used to compute the range High/Low. Freeze: when candle N closes, the strategy locks High/Low and draws the lines; a 50% midline is optional. OCO placement: buy-stop on High and sell-stop on Low (one-cancels-other). The first fill cancels the other side. Exits: – Ticks mode: SL/TP are fixed distances in ticks from entry. – RR mode: SL at the opposite side of the range; TP = RR × risk. Visual SL/TP boxes are drawn in both modes. Daily lock: after the first fill, no more entries for that day. Key features First break only, one trade per day: hard discipline that avoids over-trading. Automatic range end: timeframe × N candles (or manual end time). Exact “at-the-break” entries: stop orders placed at frozen High/Low. Flexible exits: fixed ticks or RR with opposite-side stop. Clean visuals: High/Low and midline with configurable color/style/width; text alignment (left/center/right); session background with opacity. SL/TP boxes: configurable colors, borders, width, and forward projection. Entry labels with constant offset: “BUY” below bar, “SELL” above bar; distance in ticks so labels never sit on price. Weekday filter: trade only the days you select (Mon–Fri). Inputs (summary) • Session & range: timeframe (minutes), start time, N candles, auto end (TF × N) or manual, line extension. • Style: High/Low colors, styles, widths; midline on/off; label position; session background color and opacity. • Exits: RR using the opposite extreme as SL, or “Use SL/TP by ticks”. • SL/TP boxes: projection bars, SL color, TP color, border color and width, box limit. • Weekdays: Monday–Friday selectors. • Entry labels: show/hide, colors, size, vertical offset in ticks, optional X shift in bars. Backtest snapshot — FX:XAUUSD 30m Range: 02 Jan 2024 00:00 → 12 Sep 2025 12:00 • Symbol/TF: FX:XAUUSD / 30m • Net Profit: $1,599.77 • Gross Profit / Gross Loss: $3,929.47 / $2,329.70 • Max Drawdown: $112.73 (4.93%) • Total Trades / Win rate: 440 / 48.41% • Avg Trade: $3.64 (0.04%); Avg Winner / Avg Loser: $18.45 / $10.26 • Profit Factor / Sharpe / Sortino: 1.687 / 1.163 / 6.876 • Largest Win / Loss: $91.94 / $10.26 • Avg Bars in Trade: 1 (long), 2 (short) Why this strategy is original First-bar breakout accuracy: orders arm exactly when the N-th candle closes, so the very next bar can fill at the true break. This avoids the common ORB miss where the first post-range bar is skipped by delayed checks or market orders. OCO + daily lock as a core mechanic: the engine enforces one-and-done behavior—no soft rules, no hidden retries—so test results match live logic. Two exit frameworks, one visual language: switch seamlessly between fixed-tick and structural RR exits while managing both with the same SL/TP boxes for consistent analysis and education. Readability by design: label offset, aligned High/Low text, and tunable session background keep charts uncluttered during long optimizations or multi-asset reviews. Operational guardrails: drawing budgets, box limits, and weekday filters are integrated so backtests remain stable and realistic with trading hours. Focused ORB specialization: no oscillators, no hidden bias—transparent, testable, and purpose-built for the opening-range dynamic you configure. Recommended use • Session openings or early windows with a single, clean decision per day. • Strict rules with exact entry levels and auditable exits. • Benchmarking exits in both ticks and RR with apples-to-apples visuals. Default strategy properties • Initial capital: 10,000 USD; position sizing by % of equity (editable). • Commissions default to 0% and slippage to 0; edit to match your broker/market. • Drawing limits tuned to respect TradingView resource caps. Best practices & compliance • Educational use. Not financial advice. • Past performance does not guarantee future results. • Adjust slippage, commissions, and position sizing to your live context. • Original implementation with documented mechanics; compliant with TradingView House Rules. Example setup TF 5m, start 08:00, N = 6 → auto end at 08:30 RR = 2 with SL at the opposite side of the range Boxes: projection 10 bars; SL #9598a1; TP #ffbe1a; border #787B86; opacity 70 Days: Tuesday and Wednesday only Labels: “BUY” below and “SELL” above, 10-tick offset Glossary • Opening range breakout (ORB): breakout of the configured initial range. • One-cancels-other (OCO): filling one order cancels the other. • Risk/reward (RR): target equals RR × risk distance. • Tick: minimum price increment. • Offset: fixed label separation from the bar extremum.
Strategi Pine Script®
oleh PoPeyGroupinc
2
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes). Check for Errors: Verify no errors appear in the Pine Editor console. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend). Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds. Troubleshooting If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues. Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0. Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5. Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
Strategi Pine Script®
oleh Hilly1976
Optimized ADX DI CCI Strategy### Key Features: - Combines ADX, DI+/-, CCI, and RSI for signal generation. - Supports customizable timeframes for indicators. - Offers multiple exit conditions (Moving Average cross, ADX change, performance-based stop-loss). - Tracks and displays trade statistics (e.g., win rate, capital growth, profit factor). - Visualizes trades with labels and optional background coloring. - Allows countertrading (opening an opposite trade after closing one). 1. **Indicator Calculation**: - **ADX and DI+/-**: Calculated using the `ta.dmi` function with user-defined lengths for DI and ADX smoothing. - **CCI**: Computed using the `ta.cci` function with a configurable source (default: `hlc3`) and length. - **RSI (optional)**: Calculated using the `ta.rsi` function to filter overbought/oversold conditions. - **Moving Averages**: Used for CCI signal smoothing and trade exits, with support for SMA, EMA, SMMA (RMA), WMA, and VWMA. 2. **Signal Generation**: - **Buy Signal**: Triggered when DI+ > DI- (or DI+ crosses over DI-), CCI > MA (or CCI crosses over MA), and optional ADX/RSI filters are satisfied. - **Sell Signal**: Triggered when DI+ < DI- (or DI- crosses over DI+), CCI < MA (or CCI crosses under MA), and optional ADX/RSI filters are satisfied. 3. **Trade Execution**: - **Entry**: Long or short trades are opened using `strategy.entry` when signals are detected, provided trading is allowed (`allow_long`/`allow_short`) and equity is positive. - **Exit**: Trades can be closed based on: - Opposite signal (if no other exit conditions are used). - MA cross (price crossing below/above the exit MA for long/short trades). - ADX percentage change exceeding a threshold. - Performance-based stop-loss (trade loss exceeding a percentage). - **Countertrading**: If enabled, closing a trade triggers an opposite trade (e.g., closing a long opens a short). 4. **Visualization**: - Labels are plotted at trade entries/exits (e.g., "BUY," "SELL," arrows). - Optional background coloring highlights open trades (green for long, red for short). - A statistics table displays real-time metrics (e.g., capital, win rates). 5. **Trade Tracking**: - Tracks the number of long/short trades, wins, and overall performance. - Monitors equity to prevent trading if it falls to zero. ### 2.3 Key Components - **Indicator Calculations**: Uses `request.security` to fetch indicator data for the specified timeframe. - **MA Function**: A custom `ma_func` handles different MA types for CCI and exit conditions. - **Signal Logic**: Combines crossover/under checks with recent bar windows for flexibility. - **Exit Conditions**: Multiple configurable exit strategies for risk management. - **Statistics Table**: Updates dynamically with trade and capital metrics. ## 3. Configuration Options The script provides extensive customization through input parameters, grouped for clarity in the TradingView settings panel. Below is a detailed breakdown of each setting and its impact. ### 3.1 Strategy Settings (Global) - **Initial Capital**: Default `10000`. Sets the starting capital for backtesting. - **Effect**: Determines the base equity for calculating position sizes and performance metrics. - **Default Quantity Type**: `strategy.percent_of_equity` (50% of equity). - **Effect**: Controls the size of each trade as a percentage of available equity. - **Pyramiding**: Default `2`. Allows up to 2 simultaneous trades in the same direction. - **Effect**: Enables multiple entries if conditions are met, increasing exposure. - **Commission**: 0.2% per trade. - **Effect**: Simulates trading fees, reducing net profit in backtesting. - **Margin**: 100% for long and short trades. - **Effect**: Assumes no leverage; adjust for margin trading simulations. - **Calc on Every Tick**: `true`. - **Effect**: Ensures real-time signal updates for precise execution. ### 3.2 Indicator Settings - **Indicator Timeframe** (`indicator_timeframe`): - **Options**: `""` (chart timeframe), `1`, `5`, `15`, `30`, `60`, `240`, `D`, `W`. - **Default**: `""` (uses chart timeframe). - **Effect**: Determines the timeframe for ADX, DI, CCI, and RSI calculations. A higher timeframe reduces noise but may delay signals. ### 3.3 ADX & DI Settings - **DI Length** (`adx_di_len`): - **Default**: `30`. - **Range**: Minimum `1`. - **Effect**: Sets the period for calculating DI+ and DI-. Longer periods smooth trends but reduce sensitivity. - **ADX Smoothing Length** (`adx_smooth_len`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Smooths the ADX calculation. Longer periods produce smoother ADX values. - **Use ADX Filter** (`use_adx_filter`): - **Default**: `false`. - **Effect**: If `true`, requires ADX to exceed the threshold for signals to be valid, filtering out weak trends. - **ADX Threshold** (`adx_threshold`): - **Default**: `25`. - **Range**: Minimum `0`. - **Effect**: Sets the minimum ADX value for valid signals when the filter is enabled. Higher values restrict trades to stronger trends. ### 3.4 CCI Settings - **CCI Length** (`cci_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for CCI calculation. Longer periods reduce noise but may lag. - **CCI Source** (`cci_src`): - **Default**: `hlc3` (average of high, low, close). - **Effect**: Defines the price data for CCI. `hlc3` is standard, but users can choose other sources (e.g., `close`). - **CCI MA Type** (`ma_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the moving average type for CCI signal smoothing. EMA is more responsive; VWMA weights by volume. - **CCI MA Length** (`ma_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the CCI MA. Longer periods smooth the MA but may delay signals. ### 3.5 RSI Filter Settings - **Use RSI Filter** (`use_rsi_filter`): - **Default**: `false`. - **Effect**: If `true`, applies RSI-based overbought/oversold filters to signals. - **RSI Length** (`rsi_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for RSI calculation. Longer periods reduce sensitivity. - **RSI Lower Limit** (`rsi_lower_limit`): - **Default**: `30`. - **Range**: `0` to `100`. - **Effect**: Defines the oversold threshold for buy signals. Lower values allow trades in more extreme conditions. - **RSI Upper Limit** (`rsi_upper_limit`): - **Default**: `70`. - **Range**: `0` to `100`. - **Effect**: Defines the overbought threshold for sell signals. Higher values allow trades in more extreme conditions. ### 3.6 Signal Settings - **Cross Window** (`cross_window`): - **Default**: `0`. - **Range**: `0` to `5` bars. - **Effect**: Specifies the lookback period for detecting DI+/- or CCI crosses. `0` requires crosses on the current bar; higher values allow recent crosses, increasing signal frequency. - **Allow Long Trades** (`allow_long`): - **Default**: `true`. - **Effect**: Enables/disables new long trades. If `false`, only closing existing longs is allowed. - **Allow Short Trades** (`allow_short`): - **Default**: `true`. - **Effect**: Enables/disables new short trades. If `false`, only closing existing shorts is allowed. - **Require DI+/DI- Cross for Buy** (`buy_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI+ crossover DI- for buy signals; if `false`, DI+ > DI- is sufficient. - **Require CCI Cross for Buy** (`buy_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossover MA for buy signals; if `false`, CCI > MA is sufficient. - **Require DI+/DI- Cross for Sell** (`sell_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI- crossover DI+ for sell signals; if `false`, DI+ < DI- is sufficient. - **Require CCI Cross for Sell** (`sell_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossunder MA for sell signals; if `false`, CCI < MA is sufficient. - **Countertrade** (`countertrade`): - **Default**: `true`. - **Effect**: If `true`, closing a trade triggers an opposite trade (e.g., close long, open short) if allowed. - **Color Background for Open Trades** (`color_background`): - **Default**: `true`. - **Effect**: If `true`, colors the chart background green for long trades and red for short trades. ### 3.7 Exit Settings - **Use MA Cross for Exit** (`use_ma_exit`): - **Default**: `true`. - **Effect**: If `true`, closes trades when the price crosses the exit MA (below for long, above for short). - **MA Length for Exit** (`ma_exit_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the exit MA. Longer periods delay exits. - **MA Type for Exit** (`ma_exit_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the MA type for exit signals. EMA is more responsive; VWMA weights by volume. - **Use ADX Change Stop-Loss** (`use_adx_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the ADX changes by a specified percentage. - **ADX % Change for Stop-Loss** (`adx_change_percent`): - **Default**: `5.0`. - **Range**: Minimum `0.0`, step `0.1`. - **Effect**: Specifies the percentage change in ADX (vs. previous bar) that triggers a stop-loss. Higher values reduce premature exits. - **Use Performance Stop-Loss** (`use_perf_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the loss exceeds a percentage threshold. - **Performance Stop-Loss (%)** (`perf_stop_percent`): - **Default**: `-10.0`. - **Range**: `-100.0` to `0.0`, step `0.1`. - **Effect**: Specifies the loss percentage that triggers a stop-loss. More negative values allow larger losses before exiting. ## 4. Visual and Statistical Output - **Labels**: Displayed at trade entries/exits with arrows (↑ for buy, ↓ for sell) and text ("BUY," "SELL"). A "No Equity" label appears if equity is zero. - **Background Coloring**: Optionally colors the chart background (green for long, red for short) to indicate open trades. - **Statistics Table**: Displayed at the top center of the chart, updated on timeframe changes or trade events. Includes: - **Capital Metrics**: Initial capital, current capital, capital growth (%). - **Trade Metrics**: Total trades, long/short trades, win rate, long/short win rates, profit factor. - **Open Trade Status**: Indicates if a long, short, or no trade is open. ## 5. Alerts - **Buy Signal Alert**: Triggered when `buy_signal` is true ("Cross Buy Signal"). - **Sell Signal Alert**: Triggered when `sell_signal` is true ("Cross Sell Signal"). - **Usage**: Users can set up TradingView alerts to receive notifications for trade signals.
Strategi Pine Script®
oleh osterhansi_
NIFTY_2min_FVG_Buy_StrategySummary This strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on long entries. The script's purpose is to identify and act on specific bullish reversal patterns based on volume analysis and price action. Concept & Core Logic The strategy operates on a two-stage confirmation process: Volume Absorption: The initial condition seeks to identify potential bullish reversals by detecting signs of selling pressure being absorbed by buyers. This suggests that a downward move may be losing momentum. Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Fair Value Gap (FVG) to appear. A long entry signal is generated only after a candle closes above the FVG zone, serving as confirmation of bullish intent. Risk Management The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price: Take Profit: The exit signal is triggered when a trade reaches a 25-point profit. Stop Loss: The exit signal is triggered when a trade reaches a 30-point loss. Intended Use This tool is intended for traders who: Utilize mechanical, rule-based systems for intraday trading and scalping. Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
Strategi Pine Script®
oleh AlgoProfessor