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NIFTY Intraday Strategy - 50 Points📊 NIFTY Intraday Strategy – Description This Pine Script defines an intraday trading strategy targeting +50 points per trade on NIFTY, using a blend of trend-following and momentum indicators. Here's a breakdown: 🔍 Core Components 1. Indicators Used VWAP: Volume-Weighted Average Price – institutional anchor for fair value. Supertrend: Trend direction indicator (parameters: 10, 3.0). RSI (14): Measures strength/momentum. ATR (14): Determines volatility for stop-loss calculation. 📈 Entry Conditions ✅ Buy Entry Price is above VWAP Supertrend direction is bullish RSI is above 50 Time is between 9:15 AM and 3:15 PM (India time) ❌ Sell Entry Price is below VWAP Supertrend direction is bearish RSI is below 50 Time is within same market hours 🎯 Exit Logic Target: 50 points from entry Stop Loss: 1 × ATR from entry If neither is hit by 3:15 PM, the position is held (though you may add exit logic at that time). 📌 Visualization VWAP: orange line Supertrend: green (uptrend), red (downtrend) Buy Signal: green triangle below bar Sell Signal: red triangle above bar This strategy is ideal for intraday scalping or directional momentum trading in NIFTY Futures or Options. a. Add end-of-day exit at 3:15 PM to fully close all trades b. Add a risk-reward ratio input to dynamically adjust target vs stop-loss
Strategia Pine Script®
di dhramendersingh01
Strategy Builder Pro [ChartPrime]ChartPrime Strategy Creator Overview The ChartPrime Strategy Builder offers traders an innovative, structured approach to building and testing strategies. The Strategy Creator allows users to combine, test, and automate complex strategies with many parameters. Key Features of the ChartPrime Strategy Builder 1. Customizable Buy and Sell Conditions The Strategy Creator provides flexibility in establishing entry and exit rules, with separate sections for long and short strategies. Traders can combine multiple conditions in each section to fine-tune when positions are opened or closed. For instance, they might choose to only buy when the indicator signals a buy and the Dynamic Reactor (a low lag filter) indicator shows a bullish trend. Users are able to pick, mix and match the following list of features: Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore are designed to have a uniqueness when compared to more classical trend following approaches. The Dynamic Reactor: provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique adaptivity calculations gives this plot a unique and fast behavior. Candlestick structures: analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin. The Prime Trend Assistant: provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters. Money Flow: with further filters applied for early response to money flow changes in the market. This can be a great filter in trends. Oscillator reversals: are built in leveraging an oscillator focusing on market momentum allowing users to enter based on market shifts and trends along with reversals. Volume-Inspired Signals: determine overbought and oversold conditions, adding another layer of analysis to the oscillator. These appear as orange labels, providing a simple reading into a possible reversal. The Volume Matrix: is a volume oscillator that shows whether money is flowing into or out of the market. Green suggests an uptrend with buyers in control, while red indicates a majority of sellers. By incorporating smoothed volume analysis, it distinguishes between bullish and bearish volumes, offering an early indication of potential trend reversals. The True 7: is a middle-ranking system that evaluates the strength of a move and the overall trend, offering a numeric or visual representation of trend strength. It can also indicate when a trend is starting to reverse, providing leading signals for potential market shifts. Rather than using an oscillator, this offers the unique edge of falling into set categories, making understanding it simple. This can be a great confluence point when designing a strategy. Take profits: These offer real-time suggestions from our algorithm on when it might be a good time to take profit. Using these as part of a strategy allows for great entries at bottoms and tops of trends. Using features such as the Dynamic reactor have dual purposes. Traders can use this as both a filter and an entry condition. This allows for true interoperability when using the Strategy Builder. The above conditions are duplicated for short entries too allowing for symmetrical trading systems. By disabling all of the entry conditions on either long or short areas of the settings will create a strategy that only takes a single type of position. For example; a trader that just wants to take longs can disable all short options. 2. Layered Entries Layered entries, a feature to enhance the uniqueness in the tool. It allows traders to average into positions as the market moves, rather than committing all capital at once. This feature is particularly useful for volatile markets where prices may fluctuate substantially. The Strategy Builder lets users adjust the number of layered entries, which can help in managing risk and optimizing entry points as well as the aggressiveness of the safety orders. With each safety order placed the system will automatically and dynamically scale into positions reducing the average entry price and hence dynamically adjust the potential take profits. Due to the potential complexities of exiting during multiple orders, a smart system is employed to automatically take profits on the layered system aiming to take profits at peaks of trends. Users are able to override this smart TP system at the bottom of the settings instead targeting percentage profits for both short and long positions. Entries lowering average buy price The ability to adjust how quickly the system layers into positions can also be adjusted via the layered entries drop down between fast and slow mode where the slow mode will be more cautious when producing new orders. 3. Flexible Take Profit (TP) and Stop Loss (SL) Options Traders can set their TP and SL levels according to various parameters, including ATR (Average True Range), risk-reward ratio, trailing stops, or specific price changes. If layered entries are active, an automatic TP method is applied by default, though traders can manually specify TP values if they prefer. This setup allows for precise control over trade exits, tailored to the strategy’s risk profile. Provided options The ability to use external take profits and stop losses is also provided. By loading an indicator of your choice the plots will be added to the chart. By navigating to the external sources area of the settings, users can select this plot and use it as part of a wider trading system. Example: Let’s say a user has entries based on the inbuilt trend signals and wishes to exit whenever the RSI crosses above 70, they can add RSI to the chart, select crossing up and enter the value of 70. 4. Integrated Reinvestment for Compounding Gains The reinvestment option allows traders to reinvest a portion of their gains into future trades, increasing trade size over time and benefiting from compounding. For example, a user might set 30% of each trade's profit to reinvest, with the remaining 70% allocated for risk management or additional safety orders. This approach can enhance long-term growth while balancing risk. Generally in trading it can be a good approach to take profits so we suggest a healthy balance. This setting is generally best used for slow steady strategies with the long term aim of accumulating as much of the asset as possible. 5. Leverage and Position Sizing Users can configure leverage and position sizing to simulate varying risk levels and capital allocations. A dashboard on the interface displays margin requirements based on the selected leverage, allowing traders to estimate trade sizes relative to their available capital. Whenever using leverage especially with layered entries it’s important to keep a close eye on the position sizes to avoid potential liquidations. 6. Pre-Configured Strategies for Immediate Testing For users seeking a starting point, ChartPrime includes a range of preset strategies. These were developed and backtested by ChartPrime’s team. This allows traders to start with a stable base and adapt it to their own preferences. It is vital to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. These pre-built configurations offer a structured way and base to design strategies off of. These are also subject to changing results as new price action arrives and they become outdated. They serve the purpose of simply being example use cases. 7. In-Depth Specific Backtesting Ranges The Strategy Builder includes backtesting capabilities, providing a clear view of how different setups would have performed over specified time periods. Traders can select date ranges to target specific market conditions, then review results on TradingView to see how their strategies perform across different market trends. Example Use Case: Developing a Strategy Consider a trader who is focused on long positions only and prefers a lower-risk strategy (note these tools can be used for all assets; we are using an undisclosed asset as an example). Using the Strategy Builder, they could: - Disable short conditions. - Set long entry rules to trigger when both the ChartPrime oscillator and Quantum Reactor indicators show bullish signals. - Enable layered entries to improve average entry prices by adding to positions during market dips. - Run a backtest over a two-year period to see historical performance trends, making adjustments as needed. The backtest will show where entries and exits would have occurred and how layered entries may have impacted profitability. 8. Iterative design Strategy builders and creating a strategy is often an iterative process. By experimenting and using logic; a trader can arrive at a more sustainable system. Analyzing the shortcomings of your strategy and iteratively designing and filtering them out is the goal. For example; let’s say a strategy has high drawdown, a user would want to tighten stop losses for example to reduce this and find a balance point between optimizing winning trades and reducing the drawdown. When designing a strategy there are generally tradeoffs and optimizing taking into consideration a wide range of factors is key. This also applies to filtering techniques, entries and exits and every variable in the strategy. Let’s say a strategy was taking too many long positions in a downtrend and after you’ve analyzed the data, you come to the conclusion this needs to be solved. Filtering these using built in trend following tools can be a great approach and refining with logic is a great approach. The Strategy Builder also takes into consideration those who seek to automate especially via reinvesting and leverage features. Considerations The ChartPrime Strategy Builder aims to help traders build clear, rule-based strategies without excessive complexity. As with all backtesting tools, it's crucial to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. This tool offers a structured way to test strategies against various market conditions, helping traders refine their approaches with data-driven insights. Traders should also ensure they enter the correct fees when designing strategies and ensure usage on standard candle types.
Strategia Pine Script®
di ChartPrime
4
OBV-X| OBV Norm By Momentumtrade Idea By Ziplor traderA unique volume-momentum-based strategy inspired by proprietary OBV dynamics. This script combines normalized On-Balance Volume (OBV) behavior with adaptive signal filtering mechanisms. It includes optional filters based on inflection detection and momentum accumulation zones to enhance signal quality. Key elements include: Volume-based momentum normalization Signal line crossover logic Optional regime filters (acceleration/integration-based) Dynamic divergence detection Visual zone overlays for quick market context Designed for advanced users. Not financial advice. Further parameters are intentionally obfuscated to preserve the edge.
Strategia Pine Script®
di pandasad1379
Range Filter Strategy with ATR TP/SLHow This Strategy Works: Range Filter: Calculates a smoothed average (SMA) of price Creates upper and lower bands based on standard deviation When price crosses above upper band, it signals a potential uptrend When price crosses below lower band, it signals a potential downtrend ATR-Based Risk Management: Uses Average True Range (ATR) to set dynamic take profit and stop loss levels Take profit is set at entry price + (ATR × multiplier) for long positions Stop loss is set at entry price - (ATR × multiplier) for long positions The opposite applies for short positions Input Parameters: Adjustable range filter length and multiplier Customizable ATR length and TP/SL multipliers All parameters can be optimized in TradingView's strategy tester You can adjust the input parameters to fit your trading style and the specific market you're trading. The ATR-based exits help adapt to current market volatility.
Strategia Pine Script®
di TOLLBOOTH
HMA 200 + EMA 20 Crossover StrategyThis strategy combines a long-term trend filter using the Hull Moving Average (HMA 200) with a short-term entry trigger using the Exponential Moving Average (EMA 20). 📈 Entry Logic: Buy Entry: When price is above the HMA 200 and crosses above the EMA 20. Sell Entry: When price is below the HMA 200 and crosses below the EMA 20. The strategy closes the current position and reverses on the opposite signal. ⚙️ Strategy Settings (Backtest Configuration): Position size: 10% of equity per trade Commission: 0.1% per trade (to simulate broker fees) Slippage: 2 ticks (to reflect realistic fill conditions) ✅ Purpose: This script is designed to identify high-probability trades in the direction of the overall trend, avoiding whipsaw conditions. It is useful for traders looking for a dynamic crossover-based system that filters trades based on longer-term momentum. 🔎 Make sure to test across multiple assets and timeframes. For best results, apply this strategy to liquid trending markets like major FX pairs, indices, or high-cap stocks.
Strategia Pine Script®
di TrendBlazeX
1
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated): Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support). The lookback parameter (default 5) controls swing point sensitivity. Entry Logic: Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h). Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h). Take Profit (1:2 Risk-Reward): Risk: Long: risk = entryPrice - initialStopLoss. Short: risk = initialStopLoss - entryPrice. Take-profit price: Long: takeProfitPrice = entryPrice + 2 * risk. Short: takeProfitPrice = entryPrice - 2 * risk. Set via strategy.exit’s limit parameter. Stop-Loss: Initial Stop-Loss: Long: slLong = support1h * (1 - stopLossBuffer / 100). Short: slShort = resistance1h * (1 + stopLossBuffer / 100). Breakout Stop-Loss: Long: close < support1h. Short: close > resistance1h. Managed via strategy.exit’s stop parameter. Visualization: Plots: 50-period SMA (trendMA, blue solid line). 1h resistance (resistance1h, red dashed line). 1h support (support1h, green dashed line). Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape. Usage Instructions Add the Script: Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”. Set Timeframe: Use the 1-hour (1h) chart for intraday trading. Adjust Parameters: lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise. stopLossBuffer: Initial stop-loss buffer (default 0.5%). maLength: Trend SMA period (default 50). Backtesting: Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown). Optimize parameters for your target market. Notes on Limitations LuxAlgo Liquidity Swings: Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration. Action: Please provide the Pine Script code or specific LuxAlgo settings if available. Stop-Loss Breakout: Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request. Market Suitability: Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts. Action: Backtest in your target market to confirm suitability. Fees: Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading. Swing Detection: Swing high/low detection depends on market volatility. Optimize lookback for your market. Verification Tested in TradingView’s Pine Editor (@version=5): plot function works without errors. Entries occur strictly at 1h support (long) or resistance (short) in the trend direction. Take-profit triggers at 1:2 risk-reward. Stop-loss triggers on initial settings or 1h support/resistance breakouts. Backtesting performs as expected. Next Steps Confirm Functionality: Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering. If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details. LuxAlgo Liquidity Swings: Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
Strategia Pine Script®
di Shin_diamonds
ChopFlow ATR Scalp StrategyA lean, high-velocity scalp framework for NQ and other futures that blends trend clarity, volume confirmation, and adaptive exits to give you precise, actionable signals—no cluttered bands or lagging indicators. ⸻ 🔍 Overview This strategy locks onto rapid intraday moves by: • Filtering for directional momentum with the Choppiness Index (CI) • Confirming conviction via On-Balance Volume (OBV) against its moving average • Automatically sizing stops and targets with a multiple of the Average True Range (ATR) It’s designed for scalp traders who need clean, timely entries without wading through choppy noise. ⸻ ⚙️ Key Features & Inputs 1. ATR Length & Multiplier • Controls exit distances based on current volatility. 2. Choppiness Length & Threshold • Measures trend strength; only fires when the market isn’t “stuck in the mud.” 3. OBV SMA Length • Smoothes volume flow to confirm genuine buying or selling pressure. 4. Custom Session Hours • Avoid overnight gaps or low-liquidity periods. All inputs are exposed for rapid tuning to your preferred scalp cadence. 🚀 How It Works 1. Long Entry triggers when: • CI < threshold (strong trend) • OBV > its SMA (positive volume flow) • You’re within the defined session 2. Short Entry mirrors the above (CI < threshold, OBV < SMA) 3. Exit uses ATR × multiplier for both stop-loss and take-profit ⸻ 🎯 Usage Tips • Start with defaults (ATR 14, multiplier 1.5; CI 14, threshold 60; OBV SMA 10). • Monitor signal frequency, then tighten/loosen CI or OBV look-back as needed. • Pair with a fast MA crossover or price-action trigger if you want even sharper timing. • Backtest across different sessions (early open vs. power hours) to find your edge. ⸻ ⚠️ Disclaimer This script is provided “as-is” for educational and research purposes. Always paper-trade any new setup extensively before deploying live capital, and adjust risk parameters to your personal tolerance. ⸻ Elevate your scalp game with ChopFlow ATR—where trend, volume, and volatility converge for clear, confident entries. Happy scalping!
Strategia Pine Script®
di TheFuturesPlaybook
Dskyz (DAFE) Aurora Divergence – Quant Master Dskyz (DAFE) Aurora Divergence – Quant Master Introducing the Dskyz (DAFE) Aurora Divergence – Quant Master , a strategy that’s your secret weapon for mastering futures markets like MNQ, NQ, MES, and ES. Born from the legendary Aurora Divergence indicator, this fully automated system transforms raw divergence signals into a quant-grade trading machine, blending precision, risk management, and cyberpunk DAFE visuals that make your charts glow like a neon skyline. Crafted with care and driven by community passion, this strategy stands out in a sea of generic scripts, offering traders a unique edge to outsmart institutional traps and navigate volatile markets. The Aurora Divergence indicator was a cult favorite for spotting price-OBV divergences with its aqua and fuchsia orbs, but traders craved a system to act on those signals with discipline and automation. This strategy delivers, layering advanced filters (z-score, ATR, multi-timeframe, session), dynamic risk controls (kill switches, adaptive stops/TPs), and a real-time dashboard to turn insights into profits. Whether you’re a newbie dipping into futures or a pro hunting reversals, this strat’s got your back with a beginner guide, alerts, and visuals that make trading feel like a sci-fi mission. Let’s dive into every detail and see why this original DAFE creation is a must-have. Why Traders Need This Strategy Futures markets are a battlefield—fast-paced, volatile, and riddled with institutional games that can wipe out undisciplined traders. From the April 28, 2025 NQ 1k-point drop to sneaky ES slippage, the stakes are high. Meanwhile, platforms are flooded with unoriginal, low-effort scripts that promise the moon but deliver noise. The Aurora Divergence – Quant Master rises above, offering: Unmatched Originality: A bespoke system built from the ground up, with custom divergence logic, DAFE visuals, and quant filters that set it apart from copycat clutter. Automation with Precision: Executes trades on divergence signals, eliminating emotional slip-ups and ensuring consistency, even in chaotic sessions. Quant-Grade Filters: Z-score, ATR, multi-timeframe, and session checks filter out noise, targeting high-probability reversals. Robust Risk Management: Daily loss and rolling drawdown kill switches, plus ATR-based stops/TPs, protect your capital like a fortress. Stunning DAFE Visuals: Aqua/fuchsia orbs, aurora bands, and a glowing dashboard make signals intuitive and charts a work of art. Community-Driven: Evolved from trader feedback, this strat’s a labor of love, not a recycled knockoff. Traders need this because it’s a complete, original system that blends accessibility, sophistication, and style. It’s your edge to trade smarter, not harder, in a market full of traps and imitators. 1. Divergence Detection (Core Signal Logic) The strategy’s core is its ability to detect bullish and bearish divergences between price and On-Balance Volume (OBV), pinpointing reversals with surgical accuracy. How It Works: Price Slope: Uses linear regression over a lookback (default: 9 bars) to measure price momentum (priceSlope). OBV Slope: OBV tracks volume flow (+volume if price rises, -volume if falls), with its slope calculated similarly (obvSlope). Bullish Divergence: Price slope negative (falling), OBV slope positive (rising), and price above 50-bar SMA (trend_ma). Bearish Divergence: Price slope positive (rising), OBV slope negative (falling), and price below 50-bar SMA. Smoothing: Requires two consecutive divergence bars (bullDiv2, bearDiv2) to confirm signals, reducing false positives. Strength: Divergence intensity (divStrength = |priceSlope * obvSlope| * sensitivity) is normalized (0–1, divStrengthNorm) for visuals. Why It’s Brilliant: - Divergences catch hidden momentum shifts, often exploited by institutions, giving you an edge on reversals. - The 50-bar SMA filter aligns signals with the broader trend, avoiding choppy markets. - Adjustable lookback (min: 3) and sensitivity (default: 1.0) let you tune for different instruments or timeframes. 2. Filters for Precision Four advanced filters ensure signals are high-probability and market-aligned, cutting through the noise of volatile futures. Z-Score Filter: Logic: Calculates z-score ((close - SMA) / stdev) over a lookback (default: 50 bars). Blocks entries if |z-score| > threshold (default: 1.5) unless disabled (useZFilter = false). Impact: Avoids trades during extreme price moves (e.g., blow-off tops), keeping you in statistically safe zones. ATR Percentile Volatility Filter: Logic: Tracks 14-bar ATR in a 100-bar window (default). Requires current ATR > 80th percentile (percATR) to trade (tradeOk). Impact: Ensures sufficient volatility for meaningful moves, filtering out low-volume chop. Multi-Timeframe (HTF) Trend Filter: Logic: Uses a 50-bar SMA on a higher timeframe (default: 60min). Longs require price > HTF MA (bullTrendOK), shorts < HTF MA (bearTrendOK). Impact: Aligns trades with the bigger trend, reducing counter-trend losses. US Session Filter: Logic: Restricts trading to 9:30am–4:00pm ET (default: enabled, useSession = true) using America/New_York timezone. Impact: Focuses on high-liquidity hours, avoiding overnight spreads and erratic moves. Evolution: - These filters create a robust signal pipeline, ensuring trades are timed for optimal conditions. - Customizable inputs (e.g., zThreshold, atrPercentile) let traders adapt to their style without compromising quality. 3. Risk Management The strategy’s risk controls are a masterclass in balancing aggression and safety, protecting capital in volatile markets. Daily Loss Kill Switch: Logic: Tracks daily loss (dayStartEquity - strategy.equity). Halts trading if loss ≥ $300 (default) and enabled (killSwitch = true, killSwitchActive). Impact: Caps daily downside, crucial during events like April 27, 2025 ES slippage. Rolling Drawdown Kill Switch: Logic: Monitors drawdown (rollingPeak - strategy.equity) over 100 bars (default). Stops trading if > $1000 (rollingKill). Impact: Prevents prolonged losing streaks, preserving capital for better setups. Dynamic Stop-Loss and Take-Profit: Logic: Stops = entry ± ATR * multiplier (default: 1.0x, stopDist). TPs = entry ± ATR * 1.5x (profitDist). Longs: stop below, TP above; shorts: vice versa. Impact: Adapts to volatility, keeping stops tight but realistic, with TPs targeting 1.5:1 reward/risk. Max Bars in Trade: Logic: Closes trades after 8 bars (default) if not already exited. Impact: Frees capital from stagnant trades, maintaining efficiency. Kill Switch Buffer Dashboard: Logic: Shows smallest buffer ($300 - daily loss or $1000 - rolling DD). Displays 0 (red) if kill switch active, else buffer (green). Impact: Real-time risk visibility, letting traders adjust dynamically. Why It’s Brilliant: - Kill switches and ATR-based exits create a safety net, rare in generic scripts. - Customizable risk inputs (maxDailyLoss, dynamicStopMult) suit different account sizes. - Buffer metric empowers disciplined trading, a DAFE signature. 4. Trade Entry and Exit Logic The entry/exit rules are precise, filtered, and adaptive, ensuring trades are deliberate and profitable. Entry Conditions: Long Entry: bullDiv2, cooldown passed (canSignal), ATR filter passed (tradeOk), in US session (inSession), no kill switches (not killSwitchActive, not rollingKill), z-score OK (zOk), HTF trend bullish (bullTrendOK), no existing long (lastDirection != 1, position_size <= 0). Closes shorts first. Short Entry: Same, but for bearDiv2, bearTrendOK, no long (lastDirection != -1, position_size >= 0). Closes longs first. Adaptive Cooldown: Default 2 bars (cooldownBars). Doubles (up to 10) after a losing trade, resets after wins (dynamicCooldown). Exit Conditions: Stop-Loss/Take-Profit: Set per trade (ATR-based). Exits on stop/TP hits. Other Exits: Closes if maxBarsInTrade reached, ATR filter fails, or kill switch activates. Position Management: Ensures no conflicting positions, closing opposites before new entries. Built To Be Reliable and Consistent: - Multi-filtered entries minimize false signals, a stark contrast to basic scripts. - Adaptive cooldown prevents overtrading, especially after losses. - Clean position handling ensures smooth execution, even in fast markets. 5. DAFE Visuals The visuals are a DAFE hallmark, blending function with clean flair to make signals intuitive and charts stunning. Aurora Bands: Display: Bands around price during divergences (bullish: below low, bearish: above high), sized by ATR * bandwidth (default: 0.5). Colors: Aqua (bullish), fuchsia (bearish), with transparency tied to divStrengthNorm. Purpose: Highlights divergence zones with a glowing, futuristic vibe. Divergence Orbs: Display: Large/small circles (aqua below for bullish, fuchsia above for bearish) when bullDiv2/bearDiv2 and canSignal. Labels show strength (0–1). Purpose: Pinpoints entries with eye-catching clarity. Gradient Background: Display: Green (bullish), red (bearish), or gray (neutral), 90–95% transparent. Purpose: Sets the market mood without clutter. Strategy Plots: - Stop/TP Lines: Red (stops), green (TPs) for active trades. - HTF MA: Yellow line for trend context. - Z-Score: Blue step-line (if enabled). - Kill Switch Warning: Red background flash when active. What Makes This Next-Level?: - Visuals make complex signals (divergences, filters) instantly clear, even for beginners. - DAFE’s unique aesthetic (orbs, bands) sets it apart from generic scripts, reinforcing originality. - Functional plots (stops, TPs) enhance trade management. 6. Metrics Dashboard The top-right dashboard (2x8 table) is your command center, delivering real-time insights. Metrics: Daily Loss ($): Current loss vs. day’s start, red if > $300. Rolling DD ($): Drawdown vs. 100-bar peak, red if > $1000. ATR Threshold: Current percATR, green if ATR exceeds, red if not. Z-Score: Current value, green if within threshold, red if not. Signal: “Bullish Div” (aqua), “Bearish Div” (fuchsia), or “None” (gray). Action: “Consider Buying”/“Consider Selling” (signal color) or “Wait” (gray). Kill Switch Buffer ($): Smallest buffer to kill switch, green if > 0, red if 0. Why This Is Important?: - Consolidates critical data, making decisions effortless. - Color-coded metrics guide beginners (e.g., green action = go). - Buffer metric adds transparency, rare in off-the-shelf scripts. 7. Beginner Guide Beginner Guide: Middle-right table (shown once on chart load), explains aqua orbs (bullish, buy) and fuchsia orbs (bearish, sell). Key Features: Futures-Optimized: Tailored for MNQ, NQ, MES, ES with point-value adjustments. Highly Customizable: Inputs for lookback, sensitivity, filters, and risk settings. Real-Time Insights: Dashboard and visuals update every bar. Backtest-Ready: Fixed qty and tick calc for accurate historical testing. User-Friendly: Guide, visuals, and dashboard make it accessible yet powerful. Original Design: DAFE’s unique logic and visuals stand out from generic scripts. How to Use Add to Chart: Load on a 5min MNQ/ES chart in TradingView. Configure Inputs: Adjust instrument, filters, or risk (defaults optimized for MNQ). Monitor Dashboard: Watch signals, actions, and risk metrics (top-right). Backtest: Run in strategy tester to evaluate performance. Live Trade: Connect to a broker (e.g., Tradovate) for automation. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Use bar replay (e.g., April 28, 2025 NQ drop) to test volatility handling. Disclaimer Trading futures involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Backtest results may not reflect live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred. Backtesting: Frame: 2023-09-20 - 2025-04-29 Fee Typical Range (per side, per contract) CME Exchange $1.14 – $1.20 Clearing $0.10 – $0.30 NFA Regulatory $0.02 Firm/Broker Commis. $0.25 – $0.80 (retail prop) TOTAL $1.60 – $2.30 per side Round Turn: (enter+exit) = $3.20 – $4.60 per contract Final Notes The Dskyz (DAFE) Aurora Divergence – Quant Master isn’t just a strategy—it’s a movement. Crafted with originality and driven by community passion, it rises above the flood of generic scripts to deliver a system that’s as powerful as it is beautiful. With its quant-grade logic, DAFE visuals, and robust risk controls, it empowers traders to tackle futures with confidence and style. Join the DAFE crew, light up your charts, and let’s outsmart the markets together! (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
Strategia Pine Script®
di DskyzInvestments
1
Breadth-Driven Swing StrategyWhat it does This script trades the S&P 500 purely on market breadth extremes: • Data source : INDEX:S5TH = % of S&P 500 stocks above their own 200-day SMA (range 0–100). • Buy when breadth is washed-out. • Sell when breadth is overheated. It is long-only by design; shorting and ATR trailing stops have been removed to keep the logic minimal and transparent. ⸻ Signals in plain English 1. Long entry A. A 200-EMA trough in bread­th is printed and the trough value is ≤ 40 %. or B. A 5-EMA trough appears, its prominence passes the user threshold, and the lowest breadth reading in the last 20 bars is ≤ 20 %. (Toggle this secondary trigger on/off with “ Enter also on 5-EMA trough ”.) 2. Exit (close long) First 200-EMA peak whose breadth value is ≥ 70 %. 3. Risk control A fixed stop-loss (% of entry price, default 8 %) is attached to every long trade. ⸻ Key parameters (defaults shown) • Long EMA length 200 • Short EMA length 5 • Peak prominence 0.5 pct-pts • Trough prominence 3 pct-pts • Peak level 70 % • Trough level 40 % • 5-EMA trough level 20 % • Fixed stop-loss 8 % • “Enter also on 5-EMA trough” = true (allows additional entries on extreme momentum reversals) Feel free to tighten or relax any of these thresholds to match your risk profile or account for different market regimes. ⸻ How to use it 1. Load the script on a daily SPX / SPY chart. (The price chart drives order execution; the breadth series is pulled internally and does not need to be on the chart.) 2. Verify the breadth feed. INDEX:S5TH is updated after each session; your broker must provide it. 3. Back-test across several cycles. Two decades of daily data is recommended to see how the rules behave in bear markets, range markets, and bull trends. 4. Adjust position sizing in the Properties tab. The default is “100 % of equity”; change it if you prefer smaller allocations or pyramiding caps. ⸻ Why it can help • Breadth signals often lead price, allowing entries before index-level momentum turns. • Simple, rule-based exits prevent “waiting for confirmation” paralysis. • Only one input series—easy to audit, no black-box math. Trade-offs • Relies on a single breadth metric; other internals (advance/decline, equal-weight returns, etc.) are ignored. • May sit in cash during shallow pullbacks that never push breadth ≤ 40 %. • Signals arrive at the end of the session (breadth is EoD data). ⸻ Disclaimer This script is provided for educational purposes only and is not financial advice. Markets are risky; test thoroughly and use your own judgment before trading real money. ストラテジー概要 本スクリプトは S&P500 のマーケットブレッド（内部需給） だけを手がかりに、指数をスイングトレードします。 • ブレッドデータ : INDEX:S5TH （S&P500 採用銘柄のうち、それぞれの 200 日移動平均線を上回っている銘柄比率。0–100 %） • 買い : ブレッドが極端に売られたタイミング。 • 売り : ブレッドが過熱状態に達したタイミング。 余計な機能を削り、ロングオンリー & 固定ストップ のシンプル設計にしています。 ⸻ シグナルの流れ 1. ロングエントリー • 条件 A : 200-EMA がトラフを付け、その値が 40 % 以下 • 条件 B : 5-EMA がトラフを付け、       ・プロミネンス条件を満たし       ・直近 20 本のブレッドス最小値が 20 % 以下 • B 条件は「5-EMA トラフでもエントリー」を ON にすると有効 2. ロング決済 最初に出現した 200-EMA ピーク で、かつ値が 70 % 以上 のバーで手仕舞い。 3. リスク管理 各トレードに 固定ストップ（初期価格から 8 %）を設定。 ⸻ 主なパラメータ（デフォルト値） • 長期 EMA 長さ : 200 • 短期 EMA 長さ : 5 • ピーク判定プロミネンス : 0.5 %pt • トラフ判定プロミネンス : 3 %pt • ピーク水準 : 70 % • トラフ水準 : 40 % • 5-EMA トラフ水準 : 20 % • 固定ストップ : 8 % • 「5-EMA トラフでもエントリー」 : ON 相場環境やリスク許容度に合わせて閾値を調整してください。 ⸻ 使い方 1. 日足の SPX / SPY チャート にスクリプトを適用。 2. ブレッドデータの供給 (INDEX:S5TH) がブローカーで利用可能か確認。 3. 20 年以上の期間でバックテスト し、強気相場・弱気相場・レンジ局面での挙動を確認。 4. 資金配分 は プロパティ → 戦略実行 で調整可能（初期値は「資金の 100 %」）。 ⸻ 強み • ブレッドは 価格より先行 することが多く、天底を早期に捉えやすい。 • ルールベースの出口で「もう少し待とう」と迷わずに済む。 • 入力 series は 1 本のみ、ブラックボックス要素なし。 注意点・弱み • 単一指標に依存。他の内部需給（A/D ライン等）は考慮しない。 • 40 % を割らない浅い押し目では機会損失が起こる。 • ブレッドは終値ベースの更新。ザラ場中の変化は捉えられない。 ⸻ 免責事項 本スクリプトは 学習目的 で提供しています。投資助言ではありません。 実取引の前に必ず自己責任で十分な検証とリスク管理を行ってください。
Strategia Pine Script®
di Monty_trader
DI+/- Cross Strategy with ATR SL and 2% TPDI+/- Cross Strategy with ATR Stop Loss and 2% Take Profit 📝 Script Description for Publishing: This strategy is based on the directional movement of the market using the Average Directional Index (ADX) components — DI+ and DI- — to generate entry signals, with clearly defined risk and reward targets using ATR-based Stop Loss and Fixed Percentage Take Profit. 🔍 How it works: Buy Signal: When DI+ crosses above 40, signaling strong bullish momentum. Sell Signal: When DI- crosses above 40, indicating strong bearish momentum. Stop Loss: Dynamically calculated using ATR × 1.5, to account for market volatility. Take Profit: Fixed at 2% above/below the entry price, for consistent reward targeting. 🧠 Why it’s useful: Combines momentum breakout logic with volatility-based risk management. Works well on trending assets, especially when combined with higher timeframe filters. Clean BUY and SELL visual labels make it easy to interpret and backtest. ✅ Tips for Use: Use on assets with clear trends (e.g., major forex pairs, trending stocks, crypto). Best on 30m – 4H timeframes, but can be customized. Consider combining with other filters (e.g., EMA trend direction or Bollinger Bands) for even better accuracy.
Strategia Pine Script®
di electricalPers55976
BTC Trading RobotOverview This Pine Script strategy is designed for trading Bitcoin (BTC) by placing pending orders (BuyStop and SellStop) based on local price extremes. The script also implements a trailing stop mechanism to protect profits once a position becomes sufficiently profitable. ________________________________________ Inputs and Parameter Setup 1. Trading Profile: o The strategy is set up specifically for BTC trading. o The systemType input is set to 1, which means the strategy will calculate trade parameters using the BTC-specific inputs. 2. Common Trading Inputs: o Risk Parameters: Although RiskPercent is defined, its actual use (e.g., for position sizing) isn’t implemented in this version. o Trading Hours Filter:  SHInput and EHInput let you restrict trading to a specific hour range. If these are set (non-zero), orders will only be placed during the allowed hours. 3. BTC-Specific Inputs: o Take Profit (TP) and Stop Loss (SL) Percentages:  TPasPctBTC and SLasPctBTC are used to determine the TP and SL levels as a percentage of the current price. o Trailing Stop Parameters:  TSLasPctofTPBTC and TSLTgrasPctofTPBTC determine when and by how much a trailing stop is applied, again as percentages of the TP. 4. Other Parameters: o BarsN is used to define the window (number of bars) over which the local high and low are calculated. o OrderDistPoints acts as a buffer to prevent the entry orders from being triggered too early. ________________________________________ Trade Parameter Calculation • Price Reference: o The strategy uses the current closing price as the reference for calculations. • Calculation of TP and SL Levels: o If the systemType is set to BTC (value 1), then:  Take Profit Points (Tppoints) are calculated by multiplying the current price by TPasPctBTC.  Stop Loss Points (Slpoints) are calculated similarly using SLasPctBTC.  A buffer (OrderDistPoints) is set to half of the take profit points.  Trailing Stop Levels:  TslPoints is calculated as a fraction of the TP (using TSLTgrasPctofTPBTC).  TslTriggerPoints is similarly determined, which sets the profit level at which the trailing stop will start to activate. ________________________________________ Time Filtering • Session Control: o The current hour is compared against SHInput (start hour) and EHInput (end hour). o If the current time falls outside the allowed window, the script will not place any new orders. ________________________________________ Entry Orders • Local Price Extremes: o The strategy calculates a local high and local low using a window of BarsN * 2 + 1 bars. • Placing Stop Orders: o BuyStop Order:  A long entry is triggered if the current price is less than the local high minus the order distance buffer.  The BuyStop order is set to trigger at the level of the local high. o SellStop Order:  A short entry is triggered if the current price is greater than the local low plus the order distance buffer.  The SellStop order is set to trigger at the level of the local low. Note: Orders are only placed if there is no current open position and if the session conditions are met. ________________________________________ Trailing Stop Logic Once a position is open, the strategy monitors profit levels to protect gains: • For Long Positions: o The script calculates the profit as the difference between the current price and the average entry price. o If this profit exceeds the TslTriggerPoints threshold, a trailing stop is applied by placing an exit order. o The stop price is set at a distance below the current price, while a limit (profit target) is also defined. • For Short Positions: o The profit is calculated as the difference between the average entry price and the current price. o A similar trailing stop exit is applied if the profit exceeds the trigger threshold. ________________________________________ Summary In essence, this strategy works by: • Defining entry levels based on recent local highs and lows. • Placing pending stop orders to enter the market when those levels are breached. • Filtering orders by time, ensuring trades are only taken during specified hours. • Implementing a trailing stop mechanism to secure profits once the trade moves favorably. This approach is designed to automate BTC trading based on price action and dynamic risk management, although further enhancements (like dynamic position sizing based on RiskPercent) could be added for a more complete risk management system.
Strategia Pine Script®
di Buddhika_Trading
Supply & Demand Zones + Order Block (Pro Fusion) - Auto Order Strategy Title: Smart Supply & Demand Zones + Order Block Auto Strategy with ScalpPro (Buy-Focused) 📄 Strategy Description: This strategy combines the power of Supply & Demand Zone analysis, Order Block detection, and an enhanced Scalp Pro momentum filter, specifically designed for automated decision-making based on high-volume breakouts. ✅ Key Features: Auto Entry (Buy Only) Based on Breakouts Automatically enters a Buy position when the price breaks out of a valid demand zone, confirmed by EMA 50 trend and volume spike. Order Block Logic Identifies bullish and bearish order blocks using consecutive candle structures and significant price movement. Dynamic Stop Loss & Trailing Stop Implements a trailing stop once price moves in profit, along with static initial stop loss for risk management. Clear Visual Labels & Alerts Displays BUY/SELL, Demand/Supply, and Order Block labels directly on the chart. Alerts trigger on valid breakout signals. Scalp Pro Momentum Filter (Optimized) Uses a modified MACD-style momentum indicator to confirm trend strength and filter out weak signals.
Strategia Pine Script®
di denidiana
3
Arbitrage Spot-Futures Don++Strategy: Spot-Futures Arbitrage Don++ This strategy has been designed to detect and exploit arbitrage opportunities between the Spot and Futures markets of the same trading pair (e.g. BTC/USDT). The aim is to take advantage of price differences (spreads) between the two markets, while minimizing risk through dynamic position management. [Operating principle The strategy is based on calculating the spread between Spot and Futures prices. When this spread exceeds a certain threshold (positive or negative), reverse positions are opened simultaneously on both markets: - i] Long Spot + Short Futures when the spread is positive. - i] Short Spot + Long Futures when the spread is negative. Positions are closed when the spread returns to a value close to zero or after a user-defined maximum duration. [Strategy strengths 1. Adaptive thresholds : - Entry/exit thresholds can be dynamic (based on moving averages and standard deviations) or fixed, offering greater flexibility to adapt to market conditions. 2. Robust data management : - The script checks the validity of data before executing calculations, thus avoiding errors linked to missing or invalid data. 3. Risk limitation : - A position size based on a percentage of available capital (default 10%) limits exposure. - A time filter limits the maximum duration of positions to avoid losses due to persistent spreads. 4. Clear visualization : - Charts include horizontal lines for entry/exit thresholds, as well as visual indicators for spread and Spot/Futures prices. 5. Alerts and logs : - Alerts are triggered on entries and exits to inform the user in real time. [Points for improvement or completion Although this strategy is functional and robust, it still has a few limitations that could be addressed in future versions: 1. [Limited historical data : - TradingView does not retrieve real-time data for multiple symbols simultaneously. This can limit the accuracy of calculations, especially under conditions of high volatility. 2. [Lack of liquidity management : - The script does not take into account the volumes available on the order books. In conditions of low liquidity, it may be difficult to execute orders at the desired prices. 3. [Non-dynamic transaction costs : - Transaction costs (exchange fees, slippage) are set manually. A dynamic integration of these costs via an external API would be more realistic. 4. User-dependency for symbols : - Users must manually specify Spot and Futures symbols. Automatic symbol validation would be useful to avoid configuration errors. 5. Lack of advanced backtesting : - Backtesting is based solely on historical data available on TradingView. An implementation with third-party data (via an API) would enable the strategy to be tested under more realistic conditions. 6. [Parameter optimization : - Certain parameters (such as analysis period or spread thresholds) could be optimized for each specific trading pair. [How can I contribute? If you'd like to help improve this strategy, here are a few ideas: 1. Add additional filters: - For example, a filter based on volume or volatility to avoid false signals. 2. Integrate dynamic costs: - Use an external API to retrieve actual costs and adjust thresholds accordingly. 3. Improve position management: - Implement hedging or scalping mechanisms to maximize profits. 4. Test on other pairs: - Evaluate the strategy's performance on other assets (ETH, SOL, etc.) and adjust parameters accordingly. 5. Publish backtesting results : - Share detailed analyses of the strategy's performance under different market conditions. [Conclusion This Spot-Futures arbitrage strategy is a powerful tool for exploiting price differentials between markets. Although it is already functional, it can still be improved to meet more complex trading scenarios. Feel free to test, modify and share your ideas to make this strategy even more effective! [Thank you for contributing to this open-source community! If you have any questions or suggestions, please feel free to comment or contact me directly.
Strategia Pine Script®
di DonKabu
Dynamic Breakout Master by tradingbauhaus 🌟 Code Description: This Pine Script implements a trading strategy called "Dynamic Breakout Master" 💥. The core idea of the strategy is to identify breakouts (price movements) at key support 💙 and resistance 🔴 levels, through a dynamic channel that adapts to the market’s conditions. Here's how it works: 🔧 Customizable Input Parameters: 🧭 Pivot Period: This defines the number of bars (candles) to the left and right used to detect pivots (highs and lows) that mark the support and resistance zones. 📊 Data Source: You can choose whether to use highs and lows or closes and opens of the candles to identify the pivots. 📏 Max Channel Width: Specifies the maximum width allowed for the support/resistance channel, expressed as a percentage over the last 300 bars. 💪 Minimum Pivot Strength: This defines the minimum number of pivots needed for a support or resistance level to be considered valid. 🏔 Max Support/Resistance Zones: Limits the number of key zones displayed on the chart. 📅 Lookback Period: Adjusts how many bars back the system should check to find and validate support and resistance levels. 🎨 Custom Colors: You can choose colors for the support, resistance, and in-channel zones. 📉 Moving Averages (MA): The strategy allows adding up to two moving averages (SMA or EMA) to assist in making trading decisions. 📊 Calculating Support/Resistance Levels: The system uses an algorithm to identify pivots from prices and calculates dynamic support and resistance zones 🔒🔓. The closer the pivots are and the stronger their influence, the more relevant the zone becomes for the strategy. The dynamic channel is drawn on the chart, with a maximum width limit for these zones defined by the input parameter. 📈 Trading Logic: 🚀 Identifying Breakouts: The strategy looks for when the price breaks (breakouts) a resistance or support level. If the price breaks upward through the resistance level, a buy order 📈 is triggered. If the price breaks downward through the support level, a sell order 📉 is triggered. 🔔 Alerts: Resistance Break (ResBreak) and Support Break (SupBreak) alerts are configured to notify users when a significant breakout occurs. 💰 Commissions: The strategy includes a commission (0.1%) to simulate transaction costs for each trade. 📊 Chart Visualization: The support and resistance zones are displayed as colored rectangles: 🔴 Resistance (red) and 🔵 Support (blue). Pivots of support and resistance can be labeled as P (for resistance) and V (for support). Breakouts of support or resistance levels are marked with triangles that appear on the chart 🔺🔻. 📈 Trading Strategy: If the price breaks upward through the resistance level, a long position (buy) 📈 is opened. If the price breaks downward through the support level, a short position (sell) 📉 is opened. 🏆 Conclusion: This script is a dynamic breakout strategy 💥 that allows traders to capture significant price movements when support or resistance channels break. The customizable parameters let users fine-tune the strategy according to their preferences, while the visual alerts on the chart make it easier to follow trading opportunities. The inclusion of moving averages and key price zones adds an extra layer of analysis to improve decision-making 💡.
Strategia Pine Script®
di tradingbauhaus
MH Strategy – Hull Moving Average-Based Trading StrategyThe MH Strategy is a TradingView strategy that leverages the Hull Moving Average (HullMA) to generate precise buy and sell signals. This strategy is designed to identify trend reversals and momentum shifts using a combination of weighted moving averages and HullMA-based calculations. Key Features: ✅ Hull Moving Average-Based Signals – Uses a modified HullMA calculation to detect trend changes. ✅ Dynamic Support & Resistance – The strategy plots adaptive levels that act as dynamic entry and exit points. ✅ Trend-Based Entries & Exits – Generates long (buy) signals when the price moves above the calculated Hull retraction level and short (sell) signals when the price moves below it. ✅ Automated Trade Execution – Integrates with TradingView’s strategy function to open and close trades automatically based on signal conditions. ✅ Customizable Parameters – Allows users to adjust the HullMA period and price data source to optimize performance across different markets and timeframes. How It Works: HullMA Calculation: The strategy calculates a smoothed Hull Moving Average (HullMA) using a two-step weighted moving average method. Trend Confirmation: The difference between the HullMA values helps determine trend direction and retraction levels. Entry Conditions: A buy signal is generated when the price is above the retraction level, and the previous price confirms the trend. A sell signal is triggered when the price is below the retraction level with trend confirmation. Exit Conditions: The strategy closes long trades when the price drops below a threshold. It closes short trades when the price rises above a set level. Ideal Use Cases: 🔹 Swing & trend traders looking for momentum-based entries and exits. 🔹 Traders aiming for reduced lag compared to traditional moving averages. 🔹 Markets with strong price trends, such as forex, stocks, and crypto. Try the MH Strategy and enhance your trading decisions with a refined HullMA-based trend detection system! 🚀
Strategia Pine Script®
di abbasitee39
Supertrend pro+ (Adaptive ATR) Supertrend Pro+ (Adaptive ATR) - Param Approach By SKP Overview This advanced Supertrend Pro+ strategy improves on the classic Supertrend indicator by integrating an Adaptive ATR, ensuring dynamic volatility adjustments for more accurate trend detection. This strategy filters out false signals using ADX trend strength validation and volume confirmation, making it a powerful tool for trend-following traders. Key Features ✔ Adaptive ATR Calculation - Dynamically adjusts to market volatility for more reliable Supertrend signals. ✔ ADX Trend Filter - Ensures trades occur only in strong trending markets, avoiding false breakouts. ✔ Volume Confirmation - Prevents trading in low-liquidity conditions by verifying volume strength. ✔ Multi-Timeframe Analysis - Displays Supertrend trends from different timeframes for enhanced trade confidence. ✔ Trailing Stop & Take Profit Options - Allows flexible risk management with stop-loss and profit-targeting mechanisms. ✔ Custom Alerts for Trade Signals - Alerts trigger on confirmed Supertrend buy/sell signals and potential trend shifts. ✔ Max Drawdown Protection - Automatically closes trades if equity drops beyond a set percentage, preventing excessive losses. How It Works Adaptive ATR Calculation Instead of using a fixed ATR, this strategy calculates an adaptive ATR based on a longer-term ATR baseline. If volatility increases, the ATR expands dynamically, ensuring stop-losses and Supertrend calculations adjust accordingly. Supertrend Confirmation Uses an enhanced Supertrend algorithm with adaptive ATR to determine trend direction. If price crosses above the trendline, it signals a bullish reversal (Buy Signal). If price crosses below the trendline, it signals a bearish reversal (Sell Signal). ADX Trend Strength Filter Trades are only taken when ADX is above the threshold, ensuring entry in strong trending markets. Volume Confirmation Uses a relative volume filter to ensure sufficient liquidity before entering trades. Helps avoid false breakouts in low-volume conditions. Risk Management Trailing Stop Loss - Automatically moves the stop as price moves in favor of the trade. Manual Stop Loss & Take Profit - Allows precise percentage-based exit points. Max Drawdown Protection - Closes all trades if equity falls below a set threshold, reducing risk. Multi-Timeframe Supertrend Table Displays Supertrend signals across different timeframes (1 min, 5 min, 15 min, 1 hour, Daily) Helps traders align their entries with higher timeframe trends for better accuracy. Custom Alerts Alerts notify when a new buy/sell signal appears. Extra early warning alerts indicate potential trade setups before confirmation. How to Use 📌 For trend-following traders: Focus on entries in the direction of the higher timeframes. Only enter when ADX is trending and volume confirms liquidity. 📌 For scalpers: Use shorter timeframes (1m, 5m, 15m) for quick trades. Adjust the ATR multiplier and Adaptive ATR sensitivity for tighter stops. 📌 For swing traders: Use longer timeframes (1H, Daily) for more stable trends. Enable trailing stop loss to lock in profits as the trend progresses. Inputs & Customization ATR Period & Adaptive ATR Sensitivity Supertrend Multiplier ADX Filter & Threshold Volume Confirmation Settings Stop Loss & Take Profit Options Multi-Timeframe Supertrend Display Custom Alerts
Strategia Pine Script®
di Siliconekingpin
1
NSE Index Strategy with Entry/Exit MarkersExplanation of the Code Trend Filter (200 SMA): The line trendSMA = ta.sma(close, smaPeriod) calculates the 200‑period simple moving average. By trading only when the current price is above this SMA (inUptrend = close > trendSMA), we aim to trade in the direction of the dominant trend. RSI Entry Signal: The RSI is calculated with rsiValue = ta.rsi(close, rsiPeriod). The script checks for an RSI crossover above the oversold threshold using ta.crossover(rsiValue, rsiOversold). This helps capture a potential reversal from a minor pullback in an uptrend. ATR-Based Exits: ATR is computed by atrValue = ta.atr(atrPeriod) and is used to set the stop loss and take profit levels: Stop Loss: stopLossPrice = close - atrMultiplier * atrValue Take Profit: takeProfitPrice = close + atrMultiplier * atrValue This dynamic approach allows the exit levels to adjust according to the current market volatility. Risk and Money Management: The strategy uses a fixed percentage of equity (10% by default) for each trade. The built‑in commission parameter helps simulate real-world trading costs.
Strategia Pine Script®
di NewTrader1123
2xSPYTIPS Strategy by Fra public versionThis is a test strategy with S&P500, open source so everyone can suggest everything, I'm open to any advice. Rules of the "2xSPYTIPS" Strategy : This trading strategy is designed to operate on the S&P 500 index and the TIPS ETF. Here’s how it works: 1. Buy Conditions ("BUY"): - The S&P 500 must be above its **200-day simple moving average (SMA 200)**. - This condition is checked at the **end of each month**. 2. Position Management: - If leverage is enabled (**2x leverage**), the purchase quantity is increased based on a configurable percentage. 3. Take Profit: - A **Take Profit** is set at a fixed percentage above the entry price. 4. Visualization & Alerts: - The **SMA 200** for both S&P 500 and TIPS is plotted on the chart. - A **BUY signal** appears visually and an alert is triggered. What This Strategy Does NOT Do - It does not use a **Stop Loss** or **Trailing Stop**. - It does not directly manage position exits except through Take Profit.
Strategia Pine Script®
di Francesco_TaCat
1