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Parabolic RSI Strategy + MA Filter + TP/SL 【PakunFX】🧠 Parabolic RSI Strategy + MA Filter + TP/SL【PakunFX】 This strategy combines a **custom Parabolic SAR applied to the RSI** (momentum-based trend reversal detection) with a **price-based moving average filter** to create a clear and responsive trend-following system. Additionally, it **automatically draws Take Profit (TP) and Stop Loss (SL) levels** on the chart based on a fixed risk-reward ratio, providing visual risk clarity and supporting consistent trade planning. --- ## 🔍 What This Script Does **RSI-Based Trend Detection:** A custom Parabolic SAR is applied to RSI rather than price, enabling detection of **momentum reversals** instead of just price swings. **MA Directional Filter:** Entries are filtered by a moving average (EMA or SMA). The strategy only allows trades **in the direction of the trend**—longs above the MA, shorts below. **Auto-Drawn TP/SL Levels:** Each trade includes auto-calculated TP and SL lines using a configurable risk-reward ratio (e.g., 2.0), helping traders maintain consistency and discipline. **Clear Entry Triggers:** Positions are opened **when the RSI-based Parabolic SAR flips direction**, but only if the price is on the correct side of the MA filter. → This ensures trades are made **at the moment of momentum shift**, but only **in the direction of the dominant trend**. --- ## 🧮 Core Logic Breakdown ✅ Entry Conditions **Long Entry:** RSI-based SAR flips below the RSI (bullish signal) **and** price is **above** the moving average. **Short Entry:** RSI-based SAR flips above the RSI (bearish signal) **and** price is **below** the moving average. ✅ Exit Conditions (Position Reversal) When an opposite signal occurs, the current position is **closed immediately**, and a new one is **opened in the opposite direction**. ✅ TP / SL Setup - SL is placed at a **virtual buffer distance** (e.g., 100 pips from entry). - TP is calculated using the **risk-reward ratio** (e.g., 2.0 → TP at 200 pips if SL = 100). → Delivers consistent, risk-defined trades. --- ## 💰 Risk Management Parameters **Asset / Timeframe:** Any (Backtested on 10-minute chart) **Account Size (Virtual):** $3,000 **Commission:** 0.02% per trade **Slippage Buffer:** Equivalent to 100 pips **Risk Per Trade:** Approximately 5% of account balance **Number of Trades (Backtest Period):** 125 trades --- ## 📈 Recommended Usage **Timeframes:** 5m to 30m (scalping to intraday) **Market Conditions:** Best in trending markets; responsive even in mild ranges **Assets:** Forex pairs, Gold, WTI Crude, Indexes with volatility **Discretionary Support:** Visual TP/SL allows for **pre-planned trades** and avoids impulsive decisions --- ## ⚠️ Notes & Considerations Positions are reversed on opposite signals (no simultaneous longs & shorts). Backtests do not include broker-specific execution factors—adjust for slippage and spreads if needed. Strategy is **originally developed**, inspired by “ChartPrime's RSI Parabolic SAR” idea, but fully standalone. --- ## 🖼 Chart Visuals & Features **MA Line (orange):** Shows trend direction **TP Line (green dashed):** Take Profit visualization **SL Line (red dashed):** Stop Loss boundary **RSI-SAR Flip Points:** Highlight entry timing visually --- ## ✅ Summary Parabolic RSI Strategy + MA Filter + TP/SL【PakunFX】 is a “Momentum Detection × Trend Filtering × Exit Visualization” strategy designed for consistent, visually guided decision-making. With clearly structured logic and visual aids, it serves both discretionary and systematic traders looking for a **momentum-aligned, risk-controlled approach**.
Pine Script® stratejisi
PakunFX tarafından
Bollinger Bands Infinity Trend Navigator • v5.3‑RBB Infinity Trends Navigator is a direction-biased swing engine that hunts for stretched prices, waits for the first spark of renewed momentum, and then rides the follow-through—but only when the prevailing 90 mins trend agrees . It is built to: Stay in sync with the bigger move – a 90 mins trend gauge acts as a traffic-light. When it shines green the algorithm is cleared to buy dips; when it glows red it will only look to fade rallies. Patiently stalk extremes – price must push past an adaptive envelope before any position is prepared. Act lightning-fast once momentum flips – the moment a fresh burst confirms the bigger trend, the trade launches. Hedge risk automatically – a volatility-aware safety exit is bolted on at the same instant, so a surprise wick can’t inflict deep damage. Harvest and run – a partial profit is taken early, while the remainder trails a dynamic shield so gains are never handed back. Grow with your account (optional) – flip one switch and position size scales with equity, yet never exceeds a dollar ceiling you choose. Properties Tab Field Default Role when compounding OFF Initial capital $10 000 Starting balance for the test. Order size $9 000 USD Each entry uses this exact cash slice. Commission 0.05 % Charged on every fill. Change these any time; Apex Flux Navigator will honour them unless you enable compounding, at which point the script overrides order size with its own equity-based math. How the Compounding throttle works position value = current equity × (your %) × (your leverage) capped at “Max Position USD” Example – equity $12 000, 10 % slice, 5× leverage, $100 000 cap: 12 000 × 0.10 × 5 = $6 000 → below the cap, so the trade uses $6 000 notional. Next trade recalculates from the new equity, so size steps up (or down) automatically. Turn the toggle OFF and the system reverts to the simple $9 000 order size from the Properties panel—perfect for fixed-risk portfolios or walk-forward testing.
Pine Script® stratejisi
zakoraio tarafından
PowerHouse SwiftEdge AI v2.10 StrategyOverview The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style. What It Does This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses: Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes. Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets. Volume Filter: Validates signals with above-average volume to confirm market participation. Breakout Filter: Requires price to break key levels for added confirmation. Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points. AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually. The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management. How It Works The strategy integrates multiple components to create a cohesive trading system: Multi-Timeframe Trend Analysis: The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise. Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context. Momentum Filter: Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions. Volume Filter (Optional): Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts. Breakout Filter (Optional): Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market. Smart Money Concepts (CHoCH/BOS): Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively. Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum. These signals are plotted as horizontal lines with labels, making it easy to visualize key levels. AI Trend Dashboard: Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.” Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context. A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction. Dynamic Trendlines: Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength. Why This Combination? The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy: Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets. Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets. Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis. Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations. The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity. How to Use Add to Chart: Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M). Configure Inputs: Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals. Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals. Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management. Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe. Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style. Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors. AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position. Interpret Signals: Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted. Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups. CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels. Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance. AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral). Backtest and Trade: Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results. Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels). Originality and Value The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets. Important Notes: Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable. Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors. Performance: Backtest thoroughly to optimize settings for your market and timeframe.
Pine Script® stratejisi
SwiftEdge tarafından
Bollinger + EMA Strategy with Statssharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")sharpe_window = input.int(252, "Sharpe Lookback")
Pine Script® stratejisi
Trader_dake tarafından
1
Bollinger + EMA Strategy with Statsif show_stats and bar_index == ta.highest(bar_index, 50) winrate = strategy.closedtrades > 0 ? (strategy.wintrades / strategy.closedtrades) * 100 : na label_text = "Net Profit: " + str.tostring(strategy.netprofit, "#.##") + " " + "Max DD: " + str.tostring(max_dd * 100, "#.##") + "% " + "Win Rate: " + str.tostring(winrate, "#.##") + "% " + "Trades: " + str.tostring(strategy.closedtrades) label.new(x=bar_index, y=high, text=label_text, style=label.style_label_right, color=color.gray, textcolor=color.white)
Pine Script® stratejisi
Trader_dake tarafından
1
Bollinger + EMA Strategy with StatsThis strategy is a mean-reversion trading model that combines Bollinger Band deviation entries with EMA-based exits. It enters a long position when the price drops significantly below the lower Bollinger Band by a user-defined multiple of standard deviation (x), and a short position when the price exceeds the upper band by the same logic. To manage risk, it uses a wider Bollinger Band threshold (y standard deviations) as a stop loss, while take profit occurs when the price reverts to the n-period EMA, indicating mean reversion. The strategy maintains only one active position at a time—either long or short—and allocates a fixed percentage of capital per trade. Performance metrics such as equity curve, drawdown, win rate, and total trades are tracked and displayed for backtesting evaluation.
Pine Script® stratejisi
Trader_dake tarafından
1
RSI EMA Candle Size Strategy//@version=5 strategy("RSI EMA Candle Size Strategy", overlay=true) // Indikator teknikal emaFast = ta.ema(close, 10) emaSlow = ta.ema(close, 50) rsiValue = ta.rsi(close, 14) candleSize = math.abs(close - open) // Kondisi Buy buyCondition = rsiValue < 51 and emaFast < emaSlow and candleSize < 0.00025 if buyCondition strategy.entry("BUY", strategy.long) alert("BUY", alert.freq_once_per_bar_close) // Kondisi Sell sellCondition = rsiValue > 49 and emaFast > emaSlow and candleSize < 0.00025 if sellCondition strategy.entry("SELL", strategy.short) alert("SELL", alert.freq_once_per_bar_close) // Plot plot(emaFast, title="EMA 10", color=color.orange) plot(emaSlow, title="EMA 50", color=color.blue)
Pine Script® stratejisi
froztyboyz09121988 tarafından
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!
Pine Script® stratejisi
TheFuturesPlaybook tarafından
SmartScale Envelope DCA This is a Dollar-Cost Averaging (DCA) long strategy that buys when price dips below a moving average envelope and adds to the position in a stepwise, risk-controlled way. It uses up to 8 buy-ins, applies a cooldown between entries, and exits based on either a take profit from average entry price or a stop loss. Backtest range limits trades to the last 365 days for backtest control. All input settings can and should be adjusted to the chart, as volatility in price action varies. Simply go into the inputs settings, and start from the top and move down to get better backtest results. Moving from the top down has been proven to give the best results. Then, move to properties and set your order size, pyramiding, and so on. It may be necessary to then fine tune your adjustments a second time to dial it in. Works well on 1 hour time frames and in volatility. Happy Trading!
Pine Script® stratejisi
Simple_Investment_Strategies tarafından
Regg.v.scalp2.Dom-6.Rev-108proprietary scalping strategy designed for high-volatility crypto markets, especially on Binance Futures. Built using a custom regression model and crafted through extensive data analysis, this strategy is focused on capturing small, high-probability movements in the market. Originally developed for the 15-minute timeframe, it performs remarkably well across different timeframes and adapts effectively to both trending and consolidating environments. It utilizes intelligent entry and exit logic tailored for short-duration trades and includes dynamic filters to reduce noise and avoid weak signals.
Pine Script® stratejisi
basitmomin85 tarafından
Dskyz (DAFE) Adaptive Regime - Quant Machine ProDskyz (DAFE) Adaptive Regime - Quant Machine Pro: Buckle up for the Dskyz (DAFE) Adaptive Regime - Quant Machine Pro, is a strategy that’s your ultimate edge for conquering futures markets like ES, MES, NQ, and MNQ. This isn’t just another script—it’s a quant-grade powerhouse, crafted with precision to adapt to market regimes, deliver multi-factor signals, and protect your capital with futures-tuned risk management. With its shimmering DAFE visuals, dual dashboards, and glowing watermark, it turns your charts into a cyberpunk command center, making trading as thrilling as it is profitable. Unlike generic scripts clogging up the space, the Adaptive Regime is a DAFE original, built from the ground up to tackle the chaos of futures trading. It identifies market regimes (Trending, Range, Volatile, Quiet) using ADX, Bollinger Bands, and HTF indicators, then fires trades based on a weighted scoring system that blends candlestick patterns, RSI, MACD, and more. Add in dynamic stops, trailing exits, and a 5% drawdown circuit breaker, and you’ve got a system that’s as safe as it is aggressive. Whether you’re a newbie or a prop desk pro, this strat’s your ticket to outsmarting the markets. Let’s break down every detail and see why it’s a must-have. Why Traders Need This Strategy Futures markets are a gauntlet—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional traps that punish the unprepared. Meanwhile, platforms are flooded with low-effort scripts that recycle old ideas with zero innovation. The Adaptive Regime stands tall, offering: Adaptive Intelligence: Detects market regimes (Trending, Range, Volatile, Quiet) to optimize signals, unlike one-size-fits-all scripts. Multi-Factor Precision: Combines candlestick patterns, MA trends, RSI, MACD, volume, and HTF confirmation for high-probability trades. Futures-Optimized Risk: Calculates position sizes based on $ risk (default: $300), with ATR or fixed stops/TPs tailored for ES/MES. Bulletproof Safety: 5% daily drawdown circuit breaker and trailing stops keep your account intact, even in chaos. DAFE Visual Mastery: Pulsing Bollinger Band fills, dynamic SL/TP lines, and dual dashboards (metrics + position) make signals crystal-clear and charts a work of art. Original Craftsmanship: A DAFE creation, built with community passion, not a rehashed clone of generic code. Traders need this because it’s a complete, adaptive system that blends quant smarts, user-friendly design, and DAFE flair. It’s your edge to trade with confidence, cut through market noise, and leave the copycats in the dust. Strategy Components 1. Market Regime Detection The strategy’s brain is its ability to classify market conditions into five regimes, ensuring signals match the environment. How It Works: Trending (Regime 1): ADX > 20, fast/slow EMA spread > 0.3x ATR, HTF RSI > 50 or MACD bullish (htf_trend_bull/bear). Range (Regime 2): ADX < 25, price range < 3% of close, no HTF trend. Volatile (Regime 3): BB width > 1.5x avg, ATR > 1.2x avg, HTF RSI overbought/oversold. Quiet (Regime 4): BB width < 0.8x avg, ATR < 0.9x avg. Other (Regime 5): Default for unclear conditions. Indicators: ADX (14), BB width (20), ATR (14, 50-bar SMA), HTF RSI (14, daily default), HTF MACD (12,26,9). Why It’s Brilliant: Regime detection adapts signals to market context, boosting win rates in trending or volatile conditions. HTF RSI/MACD add a big-picture filter, rare in basic scripts. Visualized via gradient background (green for Trending, orange for Range, red for Volatile, gray for Quiet, navy for Other). 2. Multi-Factor Signal Scoring Entries are driven by a weighted scoring system that combines candlestick patterns, trend, momentum, and volume for robust signals. Candlestick Patterns: Bullish: Engulfing (0.5), hammer (0.4 in Range, 0.2 else), morning star (0.2), piercing (0.2), double bottom (0.3 in Volatile, 0.15 else). Must be near support (low ≤ 1.01x 20-bar low) with volume spike (>1.5x 20-bar avg). Bearish: Engulfing (0.5), shooting star (0.4 in Range, 0.2 else), evening star (0.2), dark cloud (0.2), double top (0.3 in Volatile, 0.15 else). Must be near resistance (high ≥ 0.99x 20-bar high) with volume spike. Logic: Patterns are weighted higher in specific regimes (e.g., hammer in Range, double bottom in Volatile). Additional Factors: Trend: Fast EMA (20) > slow EMA (50) + 0.5x ATR (trend_bull, +0.2); opposite for trend_bear. RSI: RSI (14) < 30 (rsi_bull, +0.15); > 70 (rsi_bear, +0.15). MACD: MACD line > signal (12,26,9, macd_bull, +0.15); opposite for macd_bear. Volume: ATR > 1.2x 50-bar avg (vol_expansion, +0.1). HTF Confirmation: HTF RSI < 70 and MACD bullish (htf_bull_confirm, +0.2); RSI > 30 and MACD bearish (htf_bear_confirm, +0.2). Scoring: bull_score = sum of bullish factors; bear_score = sum of bearish. Entry requires score ≥ 1.0. Example: Bullish engulfing (0.5) + trend_bull (0.2) + rsi_bull (0.15) + htf_bull_confirm (0.2) = 1.05, triggers long. Why It’s Brilliant: Multi-factor scoring ensures signals are confirmed by multiple market dynamics, reducing false positives. Regime-specific weights make patterns more relevant (e.g., hammers shine in Range markets). HTF confirmation aligns with the big picture, a quant edge over simplistic scripts. 3. Futures-Tuned Risk Management The risk system is built for futures, calculating position sizes based on $ risk and offering flexible stops/TPs. Position Sizing: Logic: Risk per trade (default: $300) ÷ (stop distance in points * point value) = contracts, capped at max_contracts (default: 5). Point value = tick value (e.g., $12.5 for ES) * ticks per point (4) * contract multiplier (1 for ES, 0.1 for MES). Example: $300 risk, 8-point stop, ES ($50/point) → 0.75 contracts, rounded to 1. Impact: Precise sizing prevents over-leverage, critical for micro contracts like MES. Stops and Take-Profits: Fixed: Default stop = 8 points, TP = 16 points (2:1 reward/risk). ATR-Based: Stop = 1.5x ATR (default), TP = 3x ATR, enabled via use_atr_for_stops. Logic: Stops set at swing low/high ± stop distance; TPs at 2x stop distance from entry. Impact: ATR stops adapt to volatility, while fixed stops suit stable markets. Trailing Stops: Logic: Activates at 50% of TP distance. Trails at close ± 1.5x ATR (atr_multiplier). Longs: max(trail_stop_long, close - ATR * 1.5); shorts: min(trail_stop_short, close + ATR * 1.5). Impact: Locks in profits during trends, a game-changer in volatile sessions. Circuit Breaker: Logic: Pauses trading if daily drawdown > 5% (daily_drawdown = (max_equity - equity) / max_equity). Impact: Protects capital during black swan events (e.g., April 27, 2025 ES slippage). Why It’s Brilliant: Futures-specific inputs (tick value, multiplier) make it plug-and-play for ES/MES. Trailing stops and circuit breaker add pro-level safety, rare in off-the-shelf scripts. Flexible stops (ATR or fixed) suit different trading styles. 4. Trade Entry and Exit Logic Entries and exits are precise, driven by bull_score/bear_score and protected by drawdown checks. Entry Conditions: Long: bull_score ≥ 1.0, no position (position_size <= 0), drawdown < 5% (not pause_trading). Calculates contracts, sets stop at swing low - stop points, TP at 2x stop distance. Short: bear_score ≥ 1.0, position_size >= 0, drawdown < 5%. Stop at swing high + stop points, TP at 2x stop distance. Logic: Tracks entry_regime for PNL arrays. Closes opposite positions before entering. Exit Conditions: Stop-Loss/Take-Profit: Hits stop or TP (strategy.exit). Trailing Stop: Activates at 50% TP, trails by ATR * 1.5. Emergency Exit: Closes if price breaches stop (close < long_stop_price or close > short_stop_price). Reset: Clears stop/TP prices when flat (position_size = 0). Why It’s Brilliant: Score-based entries ensure multi-factor confirmation, filtering out weak signals. Trailing stops maximize profits in trends, unlike static exits in basic scripts. Emergency exits add an extra safety layer, critical for futures volatility. 5. DAFE Visuals The visuals are pure DAFE magic, blending function with cyberpunk flair to make signals intuitive and charts stunning. Shimmering Bollinger Band Fill: Display: BB basis (20, white), upper/lower (green/red, 45% transparent). Fill pulses (30–50 alpha) by regime, with glow (60–95 alpha) near bands (close ≥ 0.995x upper or ≤ 1.005x lower). Purpose: Highlights volatility and key levels with a futuristic glow. Visuals make complex regimes and signals instantly clear, even for newbies. Pulsing effects and regime-specific colors add a DAFE signature, setting it apart from generic scripts. BB glow emphasizes tradeable levels, enhancing decision-making. Chart Background (Regime Heatmap): Green — Trending Market: Strong, sustained price movement in one direction. The market is in a trend phase—momentum follows through. Orange — Range-Bound: Market is consolidating or moving sideways, with no clear up/down trend. Great for mean reversion setups. Red — Volatile Regime: High volatility, heightened risk, and larger/faster price swings—trade with caution. Gray — Quiet/Low Volatility: Market is calm and inactive, with small moves—often poor conditions for most strategies. Navy — Other/Neutral: Regime is uncertain or mixed; signals may be less reliable. Bollinger Bands Glow (Dynamic Fill): Neon Red Glow — Warning!: Price is near or breaking above the upper band; momentum is overstretched, watch for overbought conditions or reversals. Bright Green Glow — Opportunity!: Price is near or breaking below the lower band; market could be oversold, prime for bounce or reversal. Trend Green Fill — Trending Regime: Fills between bands with green when the market is trending, showing clear momentum. Gold/Yellow Fill — Range Regime: Fills with gold/aqua in range conditions, showing the market is sideways/oscillating. Magenta/Red Fill — Volatility Spike: Fills with vivid magenta/red during highly volatile regimes. Blue Fill — Neutral/Quiet: A soft blue glow for other or uncertain market states. Moving Averages: Display: Blue fast EMA (20), red slow EMA (50), 2px. Purpose: Shows trend direction, with trend_dir requiring ATR-scaled spread. Dynamic SL/TP Lines: Display: Pulsing colors (red SL, green TP for Trending; yellow/orange for Range, etc.), 3px, with pulse_alpha for shimmer. Purpose: Tracks stops/TPs in real-time, color-coded by regime. 6. Dual Dashboards Two dashboards deliver real-time insights, making the strat a quant command center. Bottom-Left Metrics Dashboard (2x13): Metrics: Mode (Active/Paused), trend (Bullish/Bearish/Neutral), ATR, ATR avg, volume spike (YES/NO), RSI (value + Oversold/Overbought/Neutral), HTF RSI, HTF trend, last signal (Buy/Sell/None), regime, bull score. Display: Black (29% transparent), purple title, color-coded (green for bullish, red for bearish). Purpose: Consolidates market context and signal strength. Top-Right Position Dashboard (2x7): Metrics: Regime, position side (Long/Short/None), position PNL ($), SL, TP, daily PNL ($). Display: Black (29% transparent), purple title, color-coded (lime for Long, red for Short). Purpose: Tracks live trades and profitability. Why It’s Brilliant: Dual dashboards cover market context and trade status, a rare feature. Color-coding and concise metrics guide beginners (e.g., green “Buy” = go). Real-time PNL and SL/TP visibility empower disciplined trading. 7. Performance Tracking Logic: Arrays (regime_pnl_long/short, regime_win/loss_long/short) track PNL and win/loss by regime (1–5). Updated on trade close (barstate.isconfirmed). Purpose: Prepares for future adaptive thresholds (e.g., adjust bull_score min based on regime performance). Why It’s Brilliant: Lays the groundwork for self-optimizing logic, a quant edge over static scripts. Key Features Regime-Adaptive: Optimizes signals for Trending, Range, Volatile, Quiet markets. Futures-Optimized: Precise sizing for ES/MES with tick-based risk inputs. Multi-Factor Signals: Candlestick patterns, RSI, MACD, and HTF confirmation for robust entries. Dynamic Exits: ATR/fixed stops, 2:1 TPs, and trailing stops maximize profits. Safe and Smart: 5% drawdown breaker and emergency exits protect capital. DAFE Visuals: Shimmering BB fill, pulsing SL/TP, and dual dashboards. Backtest-Ready: Fixed qty and tick calc for accurate historical testing. How to Use Add to Chart: Load on a 5min ES/MES chart in TradingView. Configure Inputs: Set instrument (ES/MES), tick value ($12.5/$1.25), multiplier (1/0.1), risk ($300 default). Enable ATR stops for volatility. Monitor Dashboards: Bottom-left for regime/signals, top-right for position/PNL. Backtest: Run in strategy tester to compare regimes. Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Try April 28, 2025 NQ drop to see regime shifts and stops. Disclaimer Trading futures involves significant risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Backtest results may differ from 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 Slippage: 3 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) Adaptive Regime - Quant Machine Pro is more than a strategy—it’s a revolution. Crafted with DAFE’s signature precision, it rises above generic scripts with adaptive regimes, quant-grade signals, and visuals that make trading a thrill. Whether you’re scalping MES or swinging ES, this system empowers you to navigate markets with confidence and style. Join the DAFE crew, light up your charts, and let’s dominate the futures game! (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 smart, trade bold.
Pine Script® stratejisi
DskyzInvestments tarafından
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.
Pine Script® stratejisi
DskyzInvestments tarafından
1
ZLSMACE StrategyZLSMACE Strategy This is a trend-following strategy that combines: -Zero-Lag LSMA (ZLSMA): A smoothed, low-lag moving average used to confirm trend direction. -Chandelier Exit (CE): A volatility-based trailing stop used to detect reversals and shift trade direction. 🟢 Entry Conditions: Long: CE direction turns bullish and price is above ZLSMA Short: CE direction turns bearish and price is below ZLSMA The strategy exits any opposite position before opening a new one, ensuring clean direction switching. 🕒 Best Timeframe Optimized for 15-minute charts (15m) Good balance between signal speed and trend filtering
Pine Script® stratejisi
MehmetSir tarafından
Dskyz (DAFE) Quantum Sentiment Flux - Beginners Dskyz (DAFE) Quantum Sentiment Flux - Beginners: Welcome to the Dskyz (DAFE) Quantum Sentiment Flux - Beginners , a strategy and concept that’s your ultimate wingman for trading futures like MNQ, NQ, MES, and ES. This gem combines lightning-fast momentum signals, market sentiment smarts, and bulletproof risk management into a system so intuitive, even newbies can trade like pros. With clean DAFE visuals, preset modes for every vibe, and a revamped dashboard that’s basically a market GPS, this strategy makes futures trading feel like a high-octane sci-fi mission. Built on the Dskyz (DAFE) legacy of Aurora Divergence, the Quantum Sentiment Flux is designed to empower beginners while giving seasoned traders a lean, sentiment-driven edge. It uses fast/slow EMA crossovers for entries, filters trades with VIX, SPX trends, and sector breadth, and keeps your account safe with adaptive stops and cooldowns. Tuned for more action with faster signals and a slick bottom-left dashboard, this updated version is ready to light up your charts and outsmart institutional traps. Let’s dive into why this strat’s a must-have and break down its brilliance. Why Traders Need This Strategy Futures markets are a wild ride—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional games that can wreck unprepared traders. Beginners often get lost in complex systems or burned by impulsive trades. The Quantum Sentiment Flux is the antidote, offering: Dead-Simple Setup: Preset modes (Aggressive, Balanced, Conservative) auto-tune signals, risk, and sizing, so you can trade without a quant degree. Sentiment Superpower: VIX filter, SPX trend, and sector breadth visuals keep you aligned with market health, dodging chop and riding trends. Ironclad Safety: Tighter ATR-based stops, 2:1 take-profits, and preset cooldowns protect your capital, even in chaotic sessions. Next-Level Visuals: Green/red entry triangles, vibrant EMAs, a sector breadth background, and a beefed-up dashboard make signals and context pop. DAFE Swagger: The clean aesthetics, sleek dashboard—ties it to Dskyz’s elite brand, making your charts a work of art. Traders need this because it’s a plug-and-play system that blends beginner-friendly simplicity with pro-level market awareness. Whether you’re just starting or scalping 5min MNQ, this strat’s your key to trading with confidence and style. Strategy Components 1. Core Signal Logic (High-Speed Momentum) The strategy’s engine is a momentum-based system using fast and slow Exponential Moving Averages (EMAs), now tuned for faster, more frequent trades. How It Works: Fast/Slow EMAs: Fast EMA (Aggressive: 5, Balanced: 7, Conservative: 9 bars) and slow EMA (12/14/18 bars) track short-term vs. longer-term momentum. Crossover Signals: Buy: Fast EMA crosses above slow EMA, and trend_dir = 1 (fast EMA > slow EMA + ATR * strength threshold). Sell: Fast EMA crosses below slow EMA, and trend_dir = -1 (fast EMA < slow EMA - ATR * strength threshold). Strength Filter: ma_strength = fast EMA - slow EMA must exceed an ATR-scaled threshold (Aggressive: 0.15, Balanced: 0.18, Conservative: 0.25) for robust signals. Trend Direction: trend_dir confirms momentum, filtering out weak crossovers in choppy markets. Evolution: Faster EMAs (down from 7–10/21–50) catch short-term trends, perfect for active futures markets. Lower strength thresholds (0.15–0.25 vs. 0.3–0.5) make signals more sensitive, boosting trade frequency without sacrificing quality. Preset tuning ensures beginners get optimized settings, while pros can tweak via mode selection. 2. Market Sentiment Filters The strategy leans hard into market sentiment with a VIX filter, SPX trend analysis, and sector breadth visuals, keeping trades aligned with the big picture. VIX Filter: Logic: Blocks long entries if VIX > threshold (default: 20, can_long = vix_close < vix_limit). Shorts are always allowed (can_short = true). Impact: Prevents longs during high-fear markets (e.g., VIX spikes in crashes), while allowing shorts to capitalize on downturns. SPX Trend Filter: Logic: Compares S&P 500 (SPX) close to its SMA (Aggressive: 5, Balanced: 8, Conservative: 12 bars). spx_trend = 1 (UP) if close > SMA, -1 (DOWN) if < SMA, 0 (FLAT) if neutral. Impact: Provides dashboard context, encouraging trades that align with market direction (e.g., longs in UP trend). Sector Breadth (Visual): Logic: Tracks 10 sector ETFs (XLK, XLF, XLE, etc.) vs. their SMAs (same lengths as SPX). Each sector scores +1 (bullish), -1 (bearish), or 0 (neutral), summed as breadth (-10 to +10). Display: Green background if breadth > 4, red if breadth < -4, else neutral. Dashboard shows sector trends (↑/↓/-). Impact: Faster SMA lengths make breadth more responsive, reflecting sector rotations (e.g., tech surging, energy lagging). Why It’s Brilliant: - VIX filter adds pro-level volatility awareness, saving beginners from panic-driven losses. - SPX and sector breadth give a 360° view of market health, boosting signal confidence (e.g., green BG + buy signal = high-probability trade). - Shorter SMAs make sentiment visuals react faster, perfect for 5min charts. 3. Risk Management The risk controls are a fortress, now tighter and more dynamic to support frequent trading while keeping accounts safe. Preset-Based Risk: Aggressive: Fast EMAs (5/12), tight stops (1.1x ATR), 1-bar cooldown. High trade frequency, higher risk. Balanced: EMAs (7/14), 1.2x ATR stops, 1-bar cooldown. Versatile for most traders. Conservative: EMAs (9/18), 1.3x ATR stops, 2-bar cooldown. Safer, fewer trades. Impact: Auto-scales risk to match style, making it foolproof for beginners. Adaptive Stops and Take-Profits: Logic: Stops = entry ± ATR * atr_mult (1.1–1.3x, down from 1.2–2.0x). Take-profits = entry ± ATR * take_mult (2x stop distance, 2:1 reward/risk). Longs: stop below entry, TP above; shorts: vice versa. Impact: Tighter stops increase trade turnover while maintaining solid risk/reward, adapting to volatility. Trade Cooldown: Logic: Preset-driven (Aggressive/Balanced: 1 bar, Conservative: 2 bars vs. old user-input 2). Ensures bar_index - last_trade_bar >= cooldown. Impact: Faster cooldowns (especially Aggressive/Balanced) allow more trades, balanced by VIX and strength filters. Contract Sizing: Logic: User sets contracts (default: 1, max: 10), no preset cap (unlike old 7/5/3 suggestion). Impact: Flexible but risks over-leverage; beginners should stick to low contracts. Built To Be Reliable and Consistent: - Tighter stops and faster cooldowns make it a high-octane system without blowing up accounts. - Preset-driven risk removes guesswork, letting newbies trade confidently. - 2:1 TPs ensure profitable trades outweigh losses, even in volatile sessions like April 27, 2025 ES slippage. 4. Trade Entry and Exit Logic The entry/exit rules are simple yet razor-sharp, now with VIX filtering and faster signals: Entry Conditions: Long Entry: buy_signal (fast EMA crosses above slow EMA, trend_dir = 1), no position (strategy.position_size = 0), cooldown passed (can_trade), and VIX < 20 (can_long). Enters with user-defined contracts. Short Entry: sell_signal (fast EMA crosses below slow EMA, trend_dir = -1), no position, cooldown passed, can_short (always true). Logic: Tracks last_entry_bar for visuals, last_trade_bar for cooldowns. Exit Conditions: Stop-Loss/Take-Profit: ATR-based stops (1.1–1.3x) and TPs (2x stop distance). Longs exit if price hits stop (below) or TP (above); shorts vice versa. No Other Exits: Keeps it straightforward, relying on stops/TPs. 5. DAFE Visuals The visuals are pure DAFE magic, blending clean function with informative metrics utilized by professionals, now enhanced by faster signals and a responsive breadth background: EMA Plots: Display: Fast EMA (blue, 2px), slow EMA (orange, 2px), using faster lengths (5–9/12–18). Purpose: Highlights momentum shifts, with crossovers signaling entries. Sector Breadth Background: Display: Green (90% transparent) if breadth > 4, red (90%) if breadth < -4, else neutral. Purpose: Faster breadth_sma_len (5–12 vs. 10–50) reflects sector shifts in real-time, reinforcing signal strength. - Visuals are intuitive, turning complex signals into clear buy/sell cues. - Faster breadth background reacts to market rotations (e.g., tech vs. energy), giving a pro-level edge. 6. Sector Breadth Dashboard The new bottom-left dashboard is a game-changer, a 3x16 table (black/gray theme) that’s your market command center: Metrics: VIX: Current VIX (red if > 20, gray if not). SPX: Trend as “UP” (green), “DOWN” (red), or “FLAT” (gray). Trade Longs: “OK” (green) if VIX < 20, “BLOCK” (red) if not. Sector Breadth: 10 sectors (Tech, Financial, etc.) with trend arrows (↑ green, ↓ red, - gray). Placeholder Row: Empty for future metrics (e.g., ATR, breadth score). Purpose: Consolidates regime, volatility, market trend, and sector data, making decisions a breeze. - VIX and SPX metrics add context, helping beginners avoid bad trades (e.g., no longs if “BLOCK”). Sector arrows show market health at a glance, like a cheat code for sentiment. Key Features Beginner-Ready: Preset modes and clear visuals make futures trading a breeze. Sentiment-Driven: VIX filter, SPX trend, and sector breadth keep you in sync with the market. High-Frequency: Faster EMAs, tighter stops, and short cooldowns boost trade volume. Safe and Smart: Adaptive stops/TPs and cooldowns protect capital while maximizing wins. Visual Mastery: DAFE’s clean flair, EMAs, dashboard—makes trading fun and clear. Backtestable: Lean code and fixed qty ensure accurate historical testing. How to Use Add to Chart: Load on a 5min MNQ/ES chart in TradingView. Pick Preset: Aggressive (scalping), Balanced (versatile), or Conservative (safe). Balanced is default. Set Contracts: Default 1, max 10. Stick low for safety. Check Dashboard: Bottom-left shows preset, VIX, SPX, and sectors. “OK” + green breadth = strong buy. Backtest: Run in strategy tester to compare modes. Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Try April 28, 2025 NQ drop to see VIX filter and stops in action. Why It’s Brilliant The Dskyz (DAFE) Quantum Sentiment Flux - Beginners is a masterpiece of simplicity and power. It takes pro-level tools—momentum, VIX, sector breadth—and wraps them in a system anyone can run. Faster signals and tighter stops make it a trading machine, while the VIX filter and dashboard keep you ahead of market chaos. The DAFE visuals and bottom-left command center turn your chart into a futuristic cockpit, guiding you through every trade. For beginners, it’s a safe entry to futures; for pros, it’s a scalping beast with sentiment smarts. This strat doesn’t just trade—it transforms how you see the market. Final Notes This is more than a strategy—it’s your launchpad to mastering futures with Dskyz (DAFE) flair. The Quantum Sentiment Flux blends accessibility, speed, and market savvy to help you outsmart the game. Load it, watch those triangles glow, and let’s make the markets your canvas! Official Statement from Pine Script Team (see TradingView help docs and forums): "This warning may appear when you call functions such as ta.sma inside a request.security in a loop. There is no runtime impact. If you need to loop through a dynamic list of tickers, this cannot be avoided in the present version... Values will still be correct. Ignore this warning in such contexts." (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.
Pine Script® stratejisi
DskyzInvestments tarafından
1
3-Day Breakout Strategy with Trend Change Exit//@version=5 strategy("3-Day Breakout Strategy with Trend Change Exit", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // === Calculate 3-day high/low (excluding current bar) === high3 = ta.highest(high , 3) low3 = ta.lowest(low , 3) // === Entry conditions === longEntry = close > high3 shortEntry = close < low3 // === Track position state === isLong = strategy.position_size > 0 isShort = strategy.position_size < 0 wasLong = nz(strategy.position_size > 0) wasShort = nz(strategy.position_size < 0) // === Exit conditions === // Exit on trend reversal (new signal) longExit = shortEntry // Exit long position when a short signal occurs shortExit = longEntry // Exit short position when a long signal occurs // === Execute entries === buySignal = longEntry and not isLong and not isShort sellSignal = shortEntry and not isLong and not isShort if (buySignal) strategy.entry("Long", strategy.long) if (sellSignal) strategy.entry("Short", strategy.short) // === Execute exits on opposite signal (trend change) === if (isLong and longExit) strategy.close("Long") if (isShort and shortExit) strategy.close("Short") // === Exit markers (on actual exit bar only) === exitLongSignal = wasLong and not isLong exitShortSignal = wasShort and not isShort // === Plot entry signals only on the entry bar === plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Plot exit signals only on the exit bar === plotshape(exitLongSignal, title="Exit Long", location=location.abovebar, color=color.orange, style=shape.labeldown, text="EXIT") plotshape(exitShortSignal, title="Exit Short", location=location.belowbar, color=color.orange, style=shape.labelup, text="EXIT")
Pine Script® stratejisi
devang9885 tarafından
RTB - Momentum Breakout Strategy V3 📈 RTB - Momentum Breakout Strategy V3 is a directional breakout strategy based on momentum. It combines exponential moving averages (EMAs), RSI, and recent support/resistance levels to detect breakout entries with trend confirmation. The system includes dynamic risk management using ATR-based stop-loss and trailing stop levels. Webhook alerts are supported for external automated trading integrations. 🔎 The strategy was backtested using default parameters on BTCUSDT Futures (Bybit) with 4-hour timeframe and a 0.05% commission per trade. ⚠️ This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
Pine Script® stratejisi
Ramtraderbook tarafından
3
Scalper StrategyScalper Strategy Documentation A comprehensive, multi-indicator scalping system for TradingView. This strategy combines trend, momentum, volatility, and volume filters to identify high-probability entries and exits, and restricts trades to user-defined time slots for optimal performance. 1. Core Concept This strategy aims to capture short, strong price movements by requiring multiple technical signals to align before entering a trade. It is highly configurable, allowing users to adjust indicator settings, risk management parameters, and trading time windows. 2. Key Components Trend and Price Filters Heikin Ashi Candles, Linear Regression (3 periods), McGinley Dynamic (2 periods), EMA Bands, and HMA are used to clarify and confirm trend direction. Momentum and Oscillator Filters RSI (2 periods), MACD (2 sets), and SMI (Stochastic Momentum Index) confirm momentum and trend changes. Volatility and Strength Filters ATR (Average True Range) with ADX ensures trades are only taken during periods of sufficient volatility and trend strength. Volume-Weighted Candle Strength Calculates the volume-weighted body size of bullish and bearish candles over a user-defined lookback period to confirm the strength of the current move. Chandelier Exit Uses ATR-based stop levels to help determine trend direction and manage exits dynamically. 3. Entry and Exit Logic Long (Buy) Entry: All of the following must be true: Trend filters confirm an uptrend. Momentum filters confirm bullish momentum. Volatility and trend strength filters are positive. Volume-weighted bullish candle strength is present. Current time is within one of the three user-defined time slots. Short (Sell) Entry: The opposite of the above, with all filters confirming a downtrend and bearish momentum. Long Exit: Triggered by a combination of opposite signals from the filters or by hitting a stop loss or take profit (if enabled). Short Exit: The opposite logic, or hitting stop loss/take profit. 4. Time Slot Filter Restricts trade entries to three user-defined time windows (e.g., 09:15–10:30, 13:00–14:00, 15:00–15:30). Users set the start and end times for each slot in the strategy settings. Trades are only entered if the current time falls within any of the active slots. 5. Risk Management Stop Loss and Take Profit: Configurable as a percentage of entry price. Can be enabled or disabled. Position Sizing: By default, uses 100% of equity per trade (adjustable in settings). 6. Alerts and Visualization Alerts: The strategy can trigger alerts for entries, exits, stop loss, and take profit events. Plotting: Visual signals (labels) are plotted on the chart for all major events, and background colors indicate trend direction. 7. How to Use Add the strategy to your TradingView chart. Configure indicator and filter settings as desired in the strategy's input panel. Set your preferred time slots for trading. Enable or disable stop loss and take profit as needed. Monitor the chart for signals and alerts. Review performance in the TradingView strategy tester. 8. Notes and Best Practices Backtest thoroughly on your chosen market and timeframe before live trading. Adjust time slots to match periods of high liquidity for your instrument. Fine-tune indicator settings for your asset and trading style. Use proper risk management and never risk more than you can afford to lose. 9. Disclaimer This strategy is for educational purposes only. Past performance does not guarantee future results. Use at your own risk.
Pine Script® stratejisi
jabez4jc tarafından
Accurate Swing Trading System - Strategy//@version=5 strategy("Accurate Swing Trading System - Strategy", overlay=true) // Inputs no = input.int(3, title="Swing") Barcolor = input.bool(true, title="Barcolor") Bgcolor = input.bool(false, title="Bgcolor") // Logic res = ta.highest(high, no) sup = ta.lowest(low, no) avd = close > res ? 1 : close < sup ? -1 : 0 avn = ta.valuewhen(avd != 0, avd, 0) tsl = avn == 1 ? sup : res Buy = ta.crossover(close, tsl) Sell = ta.crossunder(close, tsl) // Plotting plotshape(Buy, title="BUY", style=shape.labelup, location=location.belowbar, color=color.green, text="BUY", textcolor=color.black) plotshape(Sell, title="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, text="SELL", textcolor=color.black) colr = close >= tsl ? color.green : close <= tsl ? color.red : na plot(tsl, color=colr, linewidth=3, title="TSL") barcolor(Barcolor ? colr : na) bgcolor(Bgcolor ? colr : na) // Alerts alertcondition(Buy, title="Buy Signal", message="Buy") alertcondition(Sell, title="Sell Signal", message="Sell") // Strategy Orders if Buy strategy.entry("Buy", strategy.long) if Sell strategy.close("Buy")
Pine Script® stratejisi
devang9885 tarafından
2