Black Friday최대 80% 싸게

지표 및 전략

Ajay R5.41🔻 Ajay Gold 3H Power Indicator 🔻 Precision-Based Smart Sell System for Gold (XAU/USD) 💡 Overview This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF). It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals. ⚙️ Technical Foundation The indicator uses multiple advanced confirmations: 📉 EMA Trend Filter → Confirms downtrend 💪 RSI Overbought Rejection → Momentum reversal signal 📊 MACD Bearish Cross → Confirms trend strength 🕯️ Bearish Candle Structure → Price action validation When all conditions align, a clear 🔻 Sell Signal is plotted on the chart. 💎 Hidden Feature This indicator includes a hidden feature that activates only when the correct market structure forms. It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic. 📆 Recommended Settings Symbol: XAU/USD (Gold) Timeframe: 3-Hour (3H) Market: Forex / Commodity Mode: Sell-Only Confirmation Indicator Performance: Best precision and consistency on 3H TF 📈 How to Use Select XAU/USD on chart and set 3H timeframe. Add the indicator to the chart. Wait for the 🔻 Sell Signal and confirm the market structure after candle close. Take entry according to your risk management. ⚠️ Disclaimer This indicator is for educational and analytical purposes only. No system is 100% accurate — always backtest and demo trade before using in real trading. 💬 Credits Developed by Ajay Sahu (India) Based on Institutional & Smart Money Logic Best results on 3H TF Hidden Algorithm for XAU/USD traders
Pine Script™ 전략
Ajay_Janjgir의
36
EMA Trend Buy sell strategyThis strategy is built to help investors get into a trend safely and smartly — without rushing and without getting in and out too often. When to Buy: First Signal – Small Step In (50% Buy) When the short-term trend (EMA 18) turns positive and goes above the medium trend (EMA 33), 👉 we buy half of our planned position. This is an early warning that a new upward trend might be starting. Second Signal – Full Confidence (Buy other 50%) If the medium-term trend (EMA 33) also crosses above the long-term (EMA 50), 👉 we buy the other half of the position. Now we’re more confident that the trend is real. When to Sell: First Warning – Reduce Position (Sell 50%) If EMA 33 falls below EMA 50, 👉 we sell half of the position to reduce risk. Trend Reversal – Exit Completely (Sell the rest) If EMA 18 also falls below EMA 33, 👉 we sell the remaining half and leave the trade fully. Why This Strategy? 📉 We don’t jump in all at once. → We wait for confirmation before going full in. ⏳ We stay in the trade as long as the trend is healthy. → No overtrading or reacting to small moves. 📊 We get out slowly, not suddenly. → This helps protect profits and avoid emotional decisions.
Pine Script™ 전략
BULLBEARFL의
DCA with the Money Supply Index DCA with the Money Supply Index (MSI) by zdmre This strategy is based on the Money Supply Index (MSI) by zdmre and enhances it with two functional options for users: a DCA (Dollar-Cost Averaging) approach and a signal-based buy/sell mode. It’s designed to help traders and investors make data-driven, disciplined entry decisions based on monetary supply trends. 🧠 Concept Overview The Money Supply Index (MSI) provides insight into how liquidity (money supply) influences market movements. This strategy builds upon that foundation by allowing users to either: Accumulate positions over time using DCA, based on favorable MSI conditions. Execute a single buy and sell trade, optimized for bull market conditions. ⚙️ Inputs Explained General Parameters Start Bar Index / Stop Bar Index Defines the range of bars (historical data) for backtesting or strategy visualization. Long DCA Activates the DCA mode. If unchecked, the strategy operates in single-entry/single-exit signal mode. Trading Signal Enables signal-based entries and exits when the MSI reaches predefined thresholds. DCA Parameters Entry Value The MSI value that triggers a DCA buy event. When the MSI crosses below this value, the strategy considers it a favorable moment to deploy the saved capital. Saved Amount The amount of money set aside regularly (e.g., monthly) for investment. This simulates the DCA effect by accumulating capital and deploying it when conditions are optimal. Data Inputs Money Supply The data source for the Money Supply Index (default: ECONOMICS:USM2). Relational Symbol The market instrument to compare against the money supply (default: NASDAQ_DLY:NDX). This allows the strategy to measure liquidity impact on a specific market. Chart Display Options You can toggle these metrics on the chart for better visualization: Entry Price (green) – The price level of executed buys. Cash Balance (yellow) – Remaining uninvested capital. Invested Capital (red) – Total amount currently invested. Current Value (blue) – The current valuation of the investment. Profit (purple) – The total realized and unrealized profit. Trades on Chart / Signal Labels / Quantity – Enables trade markers, signal text, and position size visualization. 📈 How the Strategy Works 1️⃣ DCA Mode In DCA mode, the strategy simulates periodic savings and only invests when the MSI indicates favorable liquidity conditions (based on the Entry Value). This approach aims to achieve the best possible average entry price over time — a powerful strategy for long-term investors seeking stable accumulation with reduced emotional bias. 2️⃣ Signal-Based Mode In signal mode (with DCA disabled), the strategy performs one buy and one sell trade based on MSI turning points. It’s most effective during bull markets, where liquidity expansion supports upward momentum. This mode helps identify high-probability entry and exit zones rather than averaging in continuously. 💡 Additional Notes This strategy includes helpful metrics to monitor your personal investment performance — showing invested capital, cash reserves, and profit in real-time. The goal is to combine macroeconomic insight (money supply) with disciplined execution and capital management. ⚠️ Disclaimer This strategy is for educational and research purposes only. It does not constitute financial advice. Always conduct your own analysis before making investment decisions.
Pine Script™ 전략
MightyCologne의
Batman Strategy v1 1. Overview & Core Concept The "Batman Strategy V1" is a comprehensive trend-following and pyramid-trading framework designed for multiple asset classes. Its core concept is to identify strong, established trends and systematically enter positions in stages (pyramiding) to maximize gains during sustained market movements. This strategy is built on a proprietary scoring system that synthesizes multiple market dimensions—including stage analysis, relative strength, and volume dynamics—into clear, actionable signals. It is not a simple indicator mashup; it's a complete system with defined entry, exit, and risk management protocols. 2. Key Features Proprietary Trend Scoring: The strategy grades market conditions from 'A' (strong bull trend) to 'Z' (strong bear trend) using a unique combination of ADX and RSI calculations, providing a nuanced view of trend maturity and strength. Advanced Relative Strength Analysis: Automatically compares the asset's performance against a relevant market index (e.g., NIFTY for Indian stocks, NDX for US stocks, or a total crypto market cap for crypto) to ensure it is a market leader. Heikin-Ashi Based Logic: Utilizes Heikin-Ashi candles for its core calculations to filter out market noise and provide smoother trend signals. Multi-Tranche Pyramiding: The strategy is designed to enter a position with an initial tranche and add up to four subsequent positions if the trend continues favorably, based on a proprietary breakout logic (`ha_close > breakout`). Dynamic & Multi-Option Exits: Offers three distinct, user-selectable trailing stop mechanisms for exits: SuperTrend, V-Stop, and Chandelier Exit. This allows traders to tailor the exit logic to their risk tolerance and the asset's volatility. The data source for these exits can also be switched between the standard chart and Heikin-Ashi candles. Integrated Risk Management: Implements a sophisticated stop-loss system that adjusts based on the number of open trades, aiming to move to break-even after the third tranche and protecting capital. 3. How to Use This Strategy Configuration: In the script settings, first set your desired backtesting date range. Then, configure the "Entry," "Tranching," and "Exit" parameters to suit your trading style. The most important choice is the "Exit Indicator," as this will define how the strategy closes trades. Interpretation: When applied to a chart, the strategy will plot trend score labels ('A', 'B', 'C' for bullish; 'X', 'Y', 'Z' for bearish), color the background based on relative strength, and color the bars based on volume strength. Backtesting results, including all pyramided trades, will be visible in the "Strategy Tester" panel. Alerts: The script includes built-in alert conditions for both bullish and bearish trend scores, which can be used to notify you of potential opportunities. 4. Backtesting & Performance This is a strategy script, and its performance should be thoroughly evaluated in the Strategy Tester. As per TradingView rules, users should use realistic settings for initial capital, commission, and slippage. The default settings are a template; they should be adjusted to reflect the conditions of the market you are testing. Past performance is not indicative of future results. 5. Disclaimer This strategy is a tool for market analysis and idea validation. It is not financial advice. All trading involves risk, and you should not risk more than you are prepared to lose. This is a closed-source, protected script; its internal calculations are proprietary.
Pine Script™ 전략
shahrukhkhan489의
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.
Pine Script™ 전략
MyAlgoIndex의
2
Eyas's EyeTry it and see!! # 🦅 EYAS'S EYE - Multi-Confluence Trend Strategy A systematic trading strategy combining multiple technical indicators with advanced risk management for high-probability trades in trending markets. ## 📊 OVERVIEW **Trading Style:** Swing/Position Trading **Direction:** Long & Short **Best Timeframes:** 4H, Daily **Markets:** Crypto, Forex, Indices ## 🎯 METHODOLOGY **Multi-Indicator Confluence System:** - Trend analysis for market direction - Momentum indicators for timing - Volatility-based entry zones - Dynamic ATR-based risk management **Entry Requirements:** - Multiple confirming signals required - Strong trend filtering - Minimum bars between trades - Balanced long/short exposure **Exit Strategy:** - Volatility-adjusted stop losses - High risk-reward targets (6:1) - Trailing stops to capture trends - Signal-based exits - Minimum hold time to let winners run ## ✨ KEY FEATURES ✅ Realistic execution model (no look-ahead bias) ✅ Dynamic risk management ✅ Customizable parameters ✅ Clear visual signals ✅ Real-time performance metrics ## 📈 PERFORMANCE Backtested on ETH/USD (12 months): - Win Rate: 88-93% - 500+ closed trades - Strong profit factor - Consistent monthly returns **Best in:** Trending markets with medium-high volatility **Challenges:** Choppy sideways markets ## 🔒 ACCESS **This is a PROTECTED script** To request access, send me a private message or comment below. ## ⚠️ DISCLAIMER Trading involves substantial risk. Past performance does not guarantee future results. This is not financial advice. Always test with paper trading first and never risk more than you can afford to lose. --- **Strategy Philosophy:** Quality over quantity. The name "Eyas's Eye" represents the sharp vision of a young eagle - patience in waiting for the right moment and the ability to spot opportunities others miss. 🦅 **Trade with vision. Trade with Eyas's Eye.**
Pine Script™ 전략
eyasaboud의
1
SHALOM TRADING HUB – Bollinger Band SystemSHALOM TRADING HUB – Bollinger Band System (Strategy) All-in-one BB system with both Breakout and Mean-Reversion modes. Automatic ENTRY / EXIT / STOP-LOSS, optional Mid-Band Exit, ATR or % risk, and built-in alerts. Backtest-ready. What it does Bollinger Bands: Basis = SMA(length); Upper/Lower = ±(mult × StDev). Signals Breakout mode LONG → price crosses above Upper SHORT → price crosses below Lower Mean-Reversion mode LONG → price re-enters above Lower SHORT → price re-enters below Upper Risk / Exits ATR mode: SL = ATR × Mult, TP = SL × Risk:Reward % mode: SL = %Stop, TP = %Take Profit Optional Mid-Band (Basis) cross exit. Visuals: BB lines + active Entry / SL / TP overlays + last-bar price labels. Alerts: Breakout / Mean-Reversion signals and TP/SL hits. Inputs (Settings) Source, Length, Multiplier – BB calculation. Signal Mode – Breakout or Mean Reversion. Use ATR Stop/Target? – On = ATR; Off = %. ATR Length, ATR Mult (SL), Risk:Reward (TP) % Stop, % Take Profit (when ATR is Off) Also exit on Mid-Band cross? – On/Off. Alerts only on bar close? – Filters to confirmed bars. Entry / Exit / Stop Entry: Auto when the chosen signal condition triggers. Stop-Loss: Placed from ATR or % settings. Take-Profit: Set by R:R or % settings. Mid-Band Exit (optional): LONG → exit if close < Basis SHORT → exit if close > Basis Alerts (How-to) Add the strategy to the chart → click Alerts (⚠️). Condition: “SHALOM BB System” → choose: BB Breakout LONG / SHORT BB Mean-Reversion LONG / SHORT Long TP Hit / Long SL Hit / Short TP Hit / Short SL Hit Choose Once per bar or Once per bar close. Backtest Tips Match timeframe to your instrument. Tune ATR/Mult, R:R, % to volatility. Session filter (e.g., 09:20–15:20 IST) can be added easily in code. Default pyramiding = 0; raise if you want multiple entries.
Pine Script™ 전략
sharemanreport의
Bitcoin Halving Strategy A systematic, data-driven trading strategy based on Bitcoin's 4-year halving cycles. This strategy capitalizes on historical price patterns that emerge around halving events, providing clear entry and exit signals for both accumulation and profit-taking phases. 🎯 Strategy Overview This automated trading system identifies optimal buy and sell zones based on the predictable Bitcoin halving cycle that occurs approximately every 4 years. By analyzing historical data from all previous halvings (2012, 2016, 2020, 2024), the strategy pinpoints high-probability trading opportunities. 📊 Key Features Automated Signal Generation: Buy signals at halving events and DCA zones, sell signals at profit-taking peaks Multi-Phase Analysis: Tracks Accumulation, Profit Taking, Bear Market, and DCA phases Visual Dashboard: Real-time performance metrics, phase countdown, and position tracking Backtesting Enabled: Comprehensive historical performance analysis with configurable parameters Risk Management: Built-in position sizing, slippage control, and optional short trading ⚙️ Strategy Logic Buy Signals: At halving event (Week 0) DCA zone entry (Week 135 post-halving) Sell Signals: Profit-taking zone (Week 80 post-halving) Optional short position entry for advanced traders 📈 Performance Highlights Captures major bull run profits while avoiding prolonged bear markets Clear visual indicators for all phases and transitions Customizable timing parameters for personalized risk tolerance Professional dashboard with live P&L, win rate, and drawdown metrics 🛠️ Customization Options Adjustable phase timing (profit start/end, DCA timing) Position sizing control Enable/disable short trading Visual customization (colors, labels, zones) Table positioning and transparency ⚠️ Risk Disclosure Past performance does not guarantee future results. This strategy is based on historical halving cycle patterns and should be used as part of a comprehensive trading plan. Always conduct your own research and consider your risk tolerance before trading. 💡 Ideal For Long-term Bitcoin investors seeking systematic entry/exit points Swing traders capitalizing on multi-month trends Portfolio managers implementing cycle-based allocation strategies
Pine Script™ 전략
Bayan_dzuqi의
Twisted Forex's Doji + Area StrategyTitle Twisted Forex’s Doji + Area Strategy Description What this strategy does This strategy looks for doji candles forming inside or near supply/demand areas . Areas are built from swing pivots and sized with ATR, then tracked for retests (“confirmations”). When a doji prints close to an area and quality checks pass, the strategy places a trade with the stop beyond the doji and a configurable R:R target. How areas (zones) are built • Swings are detected with a user-set pivot length. • Each swing spawns a horizontal area centered at the pivot price with half-height = zoneHalfATR × ATR . • Duplicates are de-duplicated by center distance (ATR-scaled). • Areas fade when broken beyond a buffer or after an optional age (expiry). • Retests are recorded when price touches and then bounces away from the area; repeated reactions increase the zone’s “strength”. Signal logic (summary) Doji detection: strict or loose body criteria with optional minimum wick fractions and ATR-scaled minimum range. Proximity: price must be inside/near a supply or demand area (proxATR × ATR). Side resolution: overlap is resolved by (a) which side price penetrates more, (b) fast/slow EMA trend, or (c) nearest distance. Optional “previous candle flip” can bias long after a bearish candle and short after a bullish one. Optional 1-bar confirmation: the bar after the doji must close away from the area by confirmATR × ATR . Quality filter (Off/Soft/Strict): four checks—(i) wick rejection past the edge, (ii) doji closes in an edge “band” of the area, (iii) fresh touch (cooldown), (iv) approach impulse over a short lookback. In Strict , thresholds auto-tighten. Orders & exits • Long: stop below doji low minus buffer; Short: above doji high plus buffer. • Target = rrMultiple × risk distance . • Pyramiding is off by default. Position sizing You can size from the script or from Strategy Properties: • Script-driven (default): set Position sizing = “Risk % of equity” and choose riskPercent (e.g., 1.0%). The script applies safe floors/rounding (FX micro-lots by default) so quantity never rounds to zero. • Properties-driven : toggle Use TV Properties → Order size ON, then pick “Percent of equity” in Properties (e.g., 1%). The header includes safe defaults so trades still place. Key inputs to explore • Zone building : pivotLen, zoneHalfATR, minDepartureATR, expiryBars, breakATR, leftBars, dedupeATR. • Doji & proximity : strictDoji, dojiBodyFrac, minWickFrac, minRangeATR, proxATR, minBarsBetween. • Overlap resolution : usePenetration, useTrend (EMA 21/55), “previous candle flip”, needNextBarConf & confirmATR. • Quality : qualityMode (Off/Soft/Strict), minQualPass/kStrict, wickPenATR, edgeBandFrac, approachLookback, approachMinATR, freshTouchBars. • Zone strength gating : minStrengthSoft / minStrengthStrict. • HTF confluence (optional) : useHTFTrend (HTF EMA 34/89) and/or useHTFZoneProx (HTF swing bands). Tips to make it cleaner / higher quality • Turn needNextBarConf ON and use confirmATR = 0.10–0.15 . • Increase approachMinATR (e.g., 0.35–0.45) to require a stronger pre-touch impulse. • Raise minStrengthSoft/Strict (e.g., 4–6) so only well-reacted zones can signal. • Use signalsOnlyConfirmed ON if you prefer trades only from zones with retests (the script falls back gracefully when none exist yet). • Nudge proxATR to 0.5–0.6 to demand tighter proximity to the level. • Optional: enable useHTFTrend to filter counter-trend setups. Default settings used in this publication • Initial capital: 100,000 (illustrative). • Slippage: 1 tick; Commission: 0% (you can raise commission if you prefer—spread is partly modeled by slippage). • Sizing: Risk % of equity via inputs; riskPercent = 1.0% ; FX uses micro-lot floors by default. • Quality: Off by default (Soft/Strict available). • HTF trend gate: Off by default. Backtesting notes For a meaningful sample size, test on liquid symbols/timeframes that yield 100+ trades (e.g., majors on 5–15m over 1–2 years). Backtests are modelled and broker costs/spread vary—validate on your feed and forward-test. How to read the chart Shaded bands are supply (above) and demand (below). Brighter bands are the nearest K per side (visual aid). BUY/SELL labels mark entries; colored dots show entry/SL/TP levels. You can hide zones or unconfirmed zones for a cleaner view. Disclaimer This is educational material, not financial advice. Trading involves risk. Always test and size responsibly.
Pine Script™ 전략
Twisted_Forex의
OneHolo-TGAPSNRTGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL. This script outlines a systematic approach to generating buy and sell signals by combining Fair Value Gaps (FVGs), specific market structures, and three different trend direction methods (Swing, Gravity, and FVG Inverse direction). The strategy incorporates multiple entry modes, such as Hyper Mode, Swiper Mode, and a Custom mode, allowing users to tailor signal conditions, alongside extensive logic for trade management, higher time frame analysis, and various visual indicators for plotting trend, pivots, and profit and loss information. I. Core Trend Direction Consensus (The Three-Pillar System) The primary method for determining market bias is a three-pillar consensus model, requiring all directional methods to align before the overall Trend Direction is established (up or down). This ensures high conviction for trend signals. • Pillar 1: Swing Direction: Determines market direction based on classic price action, specifically checking for continuous higher highs and higher lows for an upward bias, or lower lows and lower highs for a downward bias. • Pillar 2: Gravity Direction (Peak and Valley): This uses specific market structure pivots. Direction is set based on whether the close price successfully crosses the established recent Peak High (indicating upward momentum) or crosses under the recent Valley Low (indicating downward pressure). • Pillar 3: FVG Inverse Direction: This relies on Fair Value Gaps (FVGs), defined as a gap between the current bar's price and the price two bars prior. Direction shifts occur when the Close price crosses the midpoint of the last relevant FVG. For instance, crossing above the midpoint of the last FVG Down signals a potential inverse long trade. II. Flexible Signal Generation Modes The strategy offers several pre-configured and highly detailed entry modes, plus a powerful Custom Mode: • Session Open Range Break (ORB) Mode: Uses the high/low of the session's first bar to generate initial signals, then defaults to the Three-Pillar Trend Direction after the ORB session concludes. • Swiper Mode: Designed to identify continuations, combining a confirmed Trend Direction with a Stop and Reverse signal (SnR) while actively avoiding confirmed pivot breaks. • Hyper/Aggressive Modes: These modes use broad combinations of signals, allowing for earlier entry based on momentum and structural breaks (like PeakCrossLong, SnRtrapLong, or FVG signals). • Custom Query Mode (The Seven-Slot Logic): This non-redundant system allows the user to define complex, tailored entry conditions by selecting any combination of 14 core patterns across seven distinct slots. ◦ AND/OR Combination: For each of the seven slots, the user determines if the chosen pattern must be met (AND component) or if it can serve as an alternative trigger (OR component). ◦ The final signal requires that all configured AND conditions are true and then integrates the result of the OR conditions, allowing for highly specific "hook queries" (e.g., "Condition A AND Condition B, OR Condition C"). III. Advanced PnL and Mobile App Diagnostics A key proprietary element is the implementation of a dual PnL system and customized visualization features: • Dual PnL Display (Strategy PnL vs. Study PnL): Users can choose to view either the native platform's strategy performance data or the script's internal, proprietary Study PnL. The Study PnL calculates profits/losses based strictly on the close price and tracks performance using Pine Script® arrays, providing a transparent, diagnostic view of performance independent of broker/platform simulation biases. • Lower Panel Visualization: Both PnL types are displayed on the lower panel using detailed bar plots (style=plot.style_columns), which color according to profitability, and include labels that show current open profit and total net profit. • Detailed Trade Labels: The script generates detailed, customizable labels on both the chart (above/below bars) and the lower PnL panel, providing historical PnL, number of trades, and real-time profit information for each entry or exit. IV. Higher Time Frame (HTF) Context and Lookahead Prevention The strategy integrates multi-time frame analysis using strict methodology to prevent lookahead bias: • HTF Bias Filtering: When enabled, the strategy uses the position calculated on a user-defined higher time frame (HTF) as a mandatory filter. A long signal on the current chart is only executed if the HTF is also in a long position, and vice-versa. • Lookahead Prevention: To maintain integrity, all HTF data requests use a mandatory lookback index (often ) to ensure the script only accesses confirmed data from the prior completed bar on the higher timeframe. • HTF Visual Mode: The user can opt to display key structural elements—such as the Gravity Pivots and the Trend Direction blocks—as calculated on the HTF, overlaying this higher-level context onto the current chart for visual analysis. The TGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL script, despite its complexity, intentionally excludes realistic considerations such as fees, slippage, and explicit risk management settings (like fixed stop-loss or take-profit rules) from its primary logic. Here is an explanation of why these elements are omitted in the strategy's current implementation and why they must be applied by the user for real-world application, drawing on the context of the sources: 1. Absence of Realistic Fees, Commissions, and Slippage The primary function of the TGAPSNR script is to execute intricate signal generation and diagnostic PnL calculation based on its three-pillar trend system and Custom Mode logic. However, the strategy's backtesting results, particularly those displayed by the internal Study PnL feature, are based purely on price difference (e.g., (close - lse) * syminfo.pointvalue * IUnits). • Strategy Result Requirements: TradingView explicitly states that strategies published publicly should strive to use realistic commission AND slippage when calculating backtesting results to avoid misleading traders. • User Responsibility: Since the script currently focuses on signal integrity and uses a fixed contract size (IUnits = 1) without configurable commission/slippage inputs shown in the source, the user must manually configure these fees within the Pine Script® Strategy Tester settings (Properties tab) to ensure the strategy results are reflective of actual trading costs. 2. Omission of Built-in Risk Management (Stop-Loss and Take-Profit) The TGAPSNR strategy's core focuses on entry signals and trend confirmation. Exits are primarily governed by: • Reversal signals (BuyStop or SellStop). • End-of-Day (EOD) session closures (EODStop). • HTF bias opposition. What is Missing: The script does not include explicit, hard-coded risk management parameters for traditional stop-loss (SL) or take-profit (TP) levels (e.g., risk percentage or ATR-based exits). • Viable Risk: TradingView guidelines stipulate that strategies should generally risk sustainable amounts of equity, usually not exceeding 5-10% on a single trade, and trade size must be appropriate. • User Application: To ensure the strategy operates within realistic risk boundaries, users must apply their own risk management rules. This includes: ◦ Implementing realistic stops and profit targets, which can be added via Pine Script® code or manually managed during live trading. ◦ Sizing trades to only risk sustainable amounts of equity. The current default unit size (IUnits = 1) is unrealistic for risk assessment unless the symbol is micro-sized. 3. Execution Quality (Fills) The strategy is set to fill_orders_on_standard_ohlc = true and operates on confirmed bar closes (barstate.isconfirmed). • Fill Assumption: This suggests the strategy primarily uses close price or the HTF close price (EntryPrice = HTFClose) for execution. • Real-World Limitation: In volatile markets, obtaining a fill price equal to the close of the bar is rare. The user must be aware that the simulated fill price shown in backtesting may differ significantly from actual execution prices due to market action and chosen order type, reinforcing the importance of applying slippage settings. In summary, while the script provides highly detailed and unique signal generation and internal PnL diagnostics, users must exercise caution and apply their own realistic parameters for fees, slippage, and explicit risk controls to prevent misleading performance results and ensure viable trading
Pine Script™ 전략
OneHolo의
3
BTC 5-MA Multi Cross Strategy By Hardik Prajapati Ai TradelabThis strategy is built around the five most powerful and commonly used moving averages in crypto trading — 5, 20, 50, 100, and 200-period SMAs (Simple Moving Averages) — applied on a 1-hour Bitcoin chart. Core Idea: The strategy aims to identify strong bullish trends by confirming when the price action crosses above all key moving averages. This alignment of multiple MAs indicates momentum shift and helps filter out false breakouts. ⸻ ⚙️ How It Works: 1. Calculates 5 Moving Averages: • 5 MA → Short-term momentum (fastest signal) • 20 MA → Near-term trend confirmation • 50 MA → Mid-term trend filter • 100 MA → Long-term trend foundation • 200 MA → Macro-trend direction (strongest support/resistance) 2. Buy Condition (Entry): • A Buy is triggered when: • The price crosses above the 5 MA, and • The closing price remains above all other MAs (20, 50, 100, 200) This signals that momentum is aligned across all time horizons — a strong uptrend confirmation. 3. Sell Condition (Exit): • The position is closed when price crosses below the 20 MA, showing weakness in short-term momentum. 4. Visual Signals: • 🟢 BUY triangle below candles → Entry signal • 🔴 SELL triangle above candles → Exit signal • Colored MAs plotted for trend clarity. ⸻ 📈 Recommended Usage: • Chart: BTC/USDT • Timeframe: 1 Hour • Type: Trend-following crossover strategy • Ideal for: Identifying major breakout moves and confirming trend reversals. ⸻ ⚠️ Notes: • This script is meant for educational and backtesting purposes only. • Always apply additional confirmation tools (like RSI, Volume, or VIX-style filters) before live trading. • Works best during trending markets; may produce whipsaws in sideways zones.
Pine Script™ 전략
hpstudio3d의
Trend Catcher and Mean ReversionPlease DM if you want to use this strategy. it took long time to make this code profitable using 3 parameters only! it allow you to: 1- Pyramid as you see fit. 2- allow option to use trend catching strategy ( while keeping mean reversion strategy) 3- Time filter to limit trading and exit at your preferred time. 4- it works for long, short or both positions. 5- has trailing tp as an option as well while keeping initial sl as hard stop 6- tp multiple (of stop loss) is optional ongoing working for alerts and automation. More on that for subscribers only. i will charge the minimum fee to utilize this code as we don't need your money but we need people to support our vision.
Pine Script™ 전략
waseem_bogary의
PG DMean & Price Sync ver 9.4 - ConsolidatedPG DMean & Price Sync Strategy (SD Filter) This strategy combines the momentum-oscillator properties of the Detrended Mean (DMean) with a Standard Deviation (SD) Price Filter for confirming trend direction, aiming to isolate high-conviction trades while actively managing risk. 🔑 Core Logic DMean Momentum Signal: The strategy's primary engine is the DMean, which measures the percentage difference between the current closing price and a longer-term Moving Average (price_ma). It is then smoothed by a DMean Signal line (MA of the DMean). Entry Signal: A trade is triggered when the DMean line crosses above (for Long) or below (for Short) its Signal Line, but it must clear a user-defined Dead Zone Threshold to confirm momentum commitment. SD Filter Confirmation (Price Sync): A Standard Deviation Channel, based on a separate user-defined price source and period, is used to filter trades. Long Filter: Allows Long entries only when the price is trading above the lower SD band, suggesting the current price action is stronger than the recent average volatility to the downside. Short Filter: Allows Short entries only when the price is currently below the Filter Basis (SMA), confirming a bearish stance within the SD channel. 🛡️ Risk & Exit Management Primary Exit: All trades are exited by reverse DMean Crossover/Crossunder, meaning the position is closed when the DMean momentum reverses against the open trade (e.g., DMean crosses under the Signal to exit a Long). Hard Stop Loss (Short Trades): A mandatory percentage-based Hard Stop Loss is implemented only for short positions to protect against sudden upward price spikes, closing the trade if the loss exceeds the set percentage. (Note: This version does not include a Hard SL for Long trades). 📊 Performance Dashboard A custom Performance Dashboard Table is displayed at the bottom right of the chart to provide real-time, at-a-glance comparison of the strategy's equity performance versus a simple Buy & Hold over the selected backtesting date range.
Pine Script™ 전략
ipuneet의
Golden StrategyTitle: XAUUSD (Gold) Smart Entry Strategy with Dynamic Scaling Description: This is a precision-based entry strategy for XAUUSD (Gold), optimized for lower timeframes like the 5-minute and 15-minute charts. It uses a custom logic engine to detect potential reversals and applies dynamic scaling (pyramiding) to build positions strategically based on price behavior. 🔍 Key Features: ✅ Smart entry logic for trend shifts ✅ Configurable position scaling up to 7 level ✅ Built-in capital efficiency for smaller accounts ✅ Backtest window control for historical testing ✅ Compact on-screen table for user guidance Timeframes Recommended: 🔸 15-minute: Best balance of risk and consistency 🔸 5-minute: More frequent signals, slightly higher risk ⚠️ Important Disclaimer This script is for educational and informational purposes only. It is not financial advice or a signal service. Trading carries risk, and past performance does not guarantee future results. Use at your own discretion and always manage risk appropriately.
Pine Script™ 전략
hdkd5636의
3
Trend-Following & Breakout — Index Quant Strategy (NASDAQ)📈 Trend-Following & Breakout — Index Quant Strategy (NASDAQ & S&P 500) Type: Invite-only strategy Markets: NASDAQ 100 (NAS100 / US100 / NQ), S&P 500 (US500 / SPX), and other major equity indices. 🧠 Concept: Continuous trend model combining EWMAC (trend-following) and Donchian (breakout) signals, scaled by forecast strength and portfolio risk. ⚙️ Execution: Rebalances only on decision-bar closes, using hysteresis and a no-trade band to reduce churn. 📊 Default bias: Long-only — aligned with equity index drift. 🧩 How it works • EWMAC Trend: Difference between fast and slow EMAs, normalized by an EWMA of absolute returns. • Donchian Breakout: Distance beyond a 200-bar channel (Strict mode) or relative z-score position within it. • Forecast combination: Weighted sum of trend and breakout points, clamped to ± capPoints. • Hysteresis: Prevents quick sign flips near zero forecast. • Risk scaling: Maps forecast strength to position size using equity × risk budget × ATR-based stop distance. • Rebalance: Executes only if the required quantity change exceeds the Δqty threshold; can optionally block increases on Sundays (for CFDs). ⚙️ Default parameters Deployed on NQ / US100 / NAS100 on Daily Timeframe • Decision timeframe = 360 min (other options from 1 min to 1 week). • Trend (EWMAC): Fast = 64, Slow = 256, Vol Norm = 32, Weight = 0.8. • Breakout (Donchian): Length = 200, Mode = Strict, Weight = 0.2. • Forecast scaling: ptsPerSigma = 1.0, capPoints = 10. • Risk % per rebalance = 4 % of equity. • ATR stop: ATR(14) × 1.0. • No-trade band (Δqty) = 4 units. • Hysteresis = 2 forecast points. • Bias = Long-only (Neutral / Long-bias 50 % optional). • Skip Sunday increases = false (default). 📋 Backtest properties (documented) • Initial capital = 100 000 USD. • Commission = 0.20 % per trade. • Pyramiding = 10. • Calc on every tick = false. • Point value = 1 (for NAS100 CFD). • No financing or slippage modeled. • If using CFDs, account for overnight funding. • On futures (NQ / ES), carry is implicit. 📊 Typical behaviour • Many small scratches, a few large winners. • Performs best during multi-week / multi-month trends. • Underperforms in tight or volatile ranges. • Average hold ≈ 30 – 90 days in historical tests. 💡 Risk and performance guide (illustrative) Sharpe ≈ 1.25 Sortino ≈ 1.10 – 1.30 Max drawdown ≈ –18 % to –25 % Annual volatility ≈ 24 – 28 % CAGR ≈ 50 – 60 % (at 4 % risk) Edge ratio ≈ 5 (MFE / MAE) Historical backtests only — past performance does not guarantee future results. 🌍 Intended markets and timeframes Optimized for NASDAQ 100 and S&P 500; also effective on similar indices (DAX, Dow Jones, FTSE). Best on Daily or higher timeframes. Aligns with long-term index drift — suitable for long-bias systematic trend portfolios. ⚠️ Limitations • Backtests exclude CFD funding costs. • Trend models will have losing streaks in range-bound markets. • Designed for experienced traders seeking systematic exposure. 🔑 Requesting access Send a private TradingView message to with the text: “Request access to Trend-Following & Breakout — Index Quant Strategy.” Access is granted only on explicit request. For further information, see my TradingView Signature. 🆕 Release notes (v1.0) • Initial release (360 min TF): EWMAC 64/256 + Donchian 200 Strict. • Risk 4 %, ATR × 1.0, Long-only bias, hysteresis 2 pts, Δqty ≥ 4. • Developed for NASDAQ 100 and S&P 500 indices. • Implements continuous risk-scaled positioning and no-trade band logic. 🧾 Originality statement This strategy is original work built entirely from TradingView built-ins (EMA, ATR, Highest, Lowest). It does not reuse open-source invite-only code. Any future reuse of open scripts will be done with explicit permission and credit.
Pine Script™ 전략
Algorific의
my_strategy_2.0Overview: This is a high-speed scalping strategy optimized for volatile crypto assets (BTC, ETH, etc.) on timeframes 1m–5m. It combines trend-following SuperTrend with confirmations from MACD, RSI, Bollinger Bands, and volume spikes for precise entries. Focus on quick profits (1–3 ATR) with strict risk control: partial take-profits, stop-loss, and trailing breakeven after the first TP. Key Signals: Long: SuperTrend flip up + MACD crossover up + RSI >50 + BB Upper breakout + volume spike + volatility filter (ATR >0.5%). Short: Similar but downward. Exits and Risks: TP: 33% at +1 ATR, 33% at +2 ATR, 34% at +3 ATR (customizable). SL: Initial at -1 ATR, after TP1 — to breakeven with trailing on BB midline (optional). Filters: Minimum ATR to avoid flat markets; realistic commissions in backtests. Recommendations: Test on 2020–2025 data (out-of-sample 2024+). Expected Win Rate ~55%, Profit Factor >1.8, Drawdown <10%. Ideal for 1–2% risk per trade. Not for beginners — use paper trading. Disclaimer: Past results do not guarantee future performance. Trade at your own risk. (Pine v6 code, ready for publication. Author: gopog777 with expert fixes.)
Pine Script™ 전략
gopog777의
1