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Indikatoren und Strategien

Bollinger Reversal + Swing ExitBollinger Reversal + Swing Exit is a mean-reversion strategy designed to capture short-term reversals when price stretches to an extreme and then shows the first signs of rejection. 1. Core idea This strategy assumes that sharp deviations from a central equilibrium are often followed by a corrective move back toward normal pricing. It does not chase trends. Instead, it waits for price to reach an extreme area and then looks for a controlled turn back in the opposite direction. 2. Signal concept A setup starts only after price reaches an outer extreme zone. The trade is taken only if the market immediately shows a reversal-type reaction rather than continuing to push outward. This reduces entries that happen too early while the move is still accelerating. 3. Long and short behavior Long trades are allowed only after a downside extreme has been reached and price begins to recover. Short trades are allowed only after an upside extreme has been reached and price begins to fade. The goal is to enter close enough to the extreme to keep risk contained, while still requiring evidence that the turn has started. 4. Risk control Risk is defined tightly. The protective stop is placed where the reversal thesis is clearly invalidated, so the strategy is built to accept small losses when the market does not revert and continues expanding in the same direction. 5. Exit logic Profits are taken based on local market structure rather than fixed targets. Once in a position, the strategy looks for a clear exhaustion point in the move and closes the trade when the short-term swing structure signals that the rebound or pullback has likely completed. This aims to capture the core of the corrective move without overstaying. 6. Best conditions This approach performs best in range-bound markets, during consolidations, and in instruments that frequently oscillate around a fair value. It is also useful after impulsive spikes when the move becomes overstretched and liquidity rebalances. 7. When to avoid Avoid using it during strong, clean trends and during persistent breakout phases, where extremes can keep extending and reversals can fail repeatedly. In these conditions, mean-reversion setups can be systematically punished. 8. What to expect Expect a higher trade frequency than trend-following systems, with many small-to-medium wins and occasional sharp losses when the market refuses to revert. The edge comes from disciplined entries only after extremes and quick exits when structure signals completion.
Pine Script® Strategie
von alblanz
BHUVANA Fib 50/61.8 Stairs with RR Targets Fib 50–61.8 Stairs with RR Targets (debug) automatically tracks the latest swing and draws a 50%–61.8% Fibonacci pullback zone as step-like “stairs.” From that zone it plots a planned trade framework: entry reference, stop/invalidation, and multiple Risk:Reward targets (e.g., 1R/1.5R/2R/3R). What it’s for Visualize the “buy/sell pullback” area (50–61.8) in trending moves Standardize exits with RR targets instead of guessing Quickly see when the swing/zone updates as structure changes How to use (simple) Wait for a clear impulse swing to form. Let price retrace into the 50–61.8 zone. Take entries only with your own trigger (reclaim / rejection / BOS). Use the plotted stop and RR targets for management. Inputs Swing detection / lookback RR multiples and target count Show/hide stairs, labels, debug visuals Important This is a mapping tool, not a standalone signal. If you trade every touch of 50–61.8 without confirmation, you’ll get chopped. Debug version may show extra visuals and can repaint on swing updates. Not financial advice.
Pine Script® Indikator
von mankarnan
Candle Strength + Trend Analyzer by The Ultimate Bull RunCandle Strength + Trend Analyzer: The Composite Trend Score (-100 to +100) The trend score aggregates 6 independent data-driven components, each measuring a different aspect of market behavior: Trend Score = Σ (Component_i × Weight_i) Score Range Classification +70 to +100 🚀 EXTREMELY BULLISH +40 to +70 📈 BULLISH -40 to +40 ➖ NEUTRAL -70 to -40 📉 BEARISH -100 to -70 💥 EXTREMELY BEARISH
Pine Script® Indikator
von TheUltimateBullRun
Turtle Multi-Market StrategyTurtle Multi-Market Strategy is a breakout trend-following approach designed to stay aligned with the dominant market direction and participate only when price proves it has enough strength to escape consolidation. 1. Core idea This strategy treats trends as permission and breakouts as proof. The market must already show a clear directional bias before any trade is considered. Only when price is consistently positioned on the correct side of the dominant direction does the strategy become active. This avoids engagement during random price movement and low-quality conditions. 2. Entry logic Trades are initiated only when price demonstrates expansion beyond a well-defined recent range, signaling that the market may be transitioning from consolidation to directional movement. An optional confirmation behavior can be used to avoid reacting to isolated spikes. In this case, the strategy waits for additional price acceptance beyond the breakout area before committing, favoring reliability over immediacy. 3. Trend quality filter The strategy can optionally require evidence of genuine trend strength before allowing entries. When this filter is active, breakouts occurring in weak or indecisive environments are ignored. This helps reduce exposure during sideways markets where breakouts are more likely to fail. 4. Risk and position sizing Risk is handled dynamically. Trade size adapts to current market volatility so that risk remains proportional across different instruments and volatility regimes. This makes the strategy suitable for use on crypto, commodities, indices, and forex without manual recalibration for each market. 5. Exit and trade management Exits are protective and progressive. A protective stop defines the initial risk and then adjusts as price moves favorably. As the trend develops, the stop follows price action, aiming to lock in gains while still allowing room for natural pullbacks. An additional safety mechanism can be enabled to exit if the market decisively re-enters the long-term equilibrium zone. This reduces exposure during sharp reversals but may also shorten otherwise valid trends. 6. How to use it This strategy is best applied to liquid markets where sustained trends can emerge and where breakouts carry informational value, such as major crypto pairs, gold, indices, and liquid forex pairs. It performs best during transitions from consolidation to expansion and during trending phases. It is not designed for mean-reverting or range-bound environments. 7. Practical workflow Apply it on higher intraday or swing-oriented timeframes. Keep the trend strength filter enabled in mixed or uncertain market conditions. Use confirmation on instruments prone to false breakouts or during news-sensitive sessions. If price repeatedly fails to sustain movement and returns to equilibrium, standing aside is part of correct execution. 8. What to expect Expect fewer trades rather than constant activity. Many positions will end with small controlled losses, while profitable trades tend to come from sustained directional moves. The edge lies in participation during expansion phases, not in high win rates or frequent signals.
Pine Script® Strategie
von alblanz
JokerStyle 🤡 Joker Style Indicator Welcome to Joker Style — where the market stops acting normal… and starts telling the truth. This indicator is built for one purpose: finding clean, repeatable opportunities when liquidity gets trapped and panic kicks in. No clutter. No guessing. No overthinking. Just one timeframe, one time of day, and clear rules. ⸻ 🕘 How to Use It • Timeframe: 1 minute • Time: 9:45 AM (New York time) • Track the first 15-minute range • Let the market sweep liquidity • When the 🤡 appears — that’s your signal BUY and SL levels are drawn automatically. You manage risk — the indicator handles structure. ⸻ 💰 Opportunities & Risk • Opportunities appear almost every trading day • Some days you’ll see multiple setups • Minimum target: 4:1 Risk–Reward • 8:1 RR is realistic and often achievable when momentum expands This isn’t about tiny scalps. It’s about catching the real move. ⸻ 🤡 What Makes It Different • Combines liquidity sweeps, precision entries, and fair value gaps • Bullish and bearish logic never fight each other • One active setup at a time — clean, focused, intentional • Built specifically for high-volatility open conditions
Pine Script® Indikator
von sergeytsypan
1
EMA Trend Following Strategy🎯 EMA TREND FOLLOWING STRATEGY A simple yet powerful trend-following strategy designed for 1-hour timeframes across multiple markets including cryptocurrencies, commodities, indices, and forex pairs. 📊 STRATEGY LOGIC This strategy is based on the classic moving average crossover technique, one of the most reliable trend-following methods in technical analysis: - LONG ENTRIES: When the fast EMA crosses above the slow EMA, indicating the beginning of an uptrend - SHORT ENTRIES: When the fast EMA crosses below the slow EMA, indicating the beginning of a downtrend - EXITS: Positions are closed when the opposite crossover occurs, capturing the trend reversal 🛡️ RISK MANAGEMENT The strategy includes professional risk management features: - Dynamic stop-loss based on market volatility - Automatic position sizing to risk only a fixed percentage per trade - Optional take-profit levels for securing gains - Customizable risk parameters to fit your trading style ⚙️ RECOMMENDED SETTINGS - Timeframe: 1 Hour (H1) - Fast EMA: 20 periods - Slow EMA: 50 periods - Risk per trade: 1-2% of capital - Stop-loss: 2x ATR (Average True Range) 💡 BEST USE CASES This strategy works particularly well on: ✅ BTC/USD and major cryptocurrencies ✅ GOLD and precious metals ✅ S&P 500, NASDAQ, and major indices ✅ EUR/USD, GBP/USD and major forex pairs ⚠️ IMPORTANT NOTES - Always backtest on your specific market before live trading - Past performance does not guarantee future results - Use appropriate position sizing and never risk more than you can afford to lose - This strategy works best in trending markets 📈 Perfect for swing traders and those looking for a systematic approach to capture market trends!
Pine Script® Strategie
von alblanz
MFVB - Macro-Filtered Volatility Breakout策略核心與原創性： 山寨幣 (Altcoins) 的走勢與比特幣高度相關，單純的技術突破往往會因為大盤下跌而變成假動作。 MFVB (宏觀濾網波動突破策略) 並非一般的技術指標，而是一套由**「跨資產同步演算引擎」**驅動的趨勢系統。本策略內建了硬編碼的邏輯，會自動抓取並分析比特幣 (BINANCE:BTCUSDT) 的即時趨勢數據。透過這種獨特的跨市場分析，系統能確保僅在宏觀環境有利時才執行小幣的突破交易。 主要功能與邏輯： 宏觀守門機制 (Macro Gating)： 程式會在背景處理外部的 BTC 趨勢數據 (EMA 200)。這是一個強制性的市場狀態濾網：如果比特幣處於空頭趨勢，即使小幣出現技術面突破，系統也會強制過濾訊號，避免逆勢操作。 波動率突破： 使用經過參數調教的肯特納通道 (Keltner Channels) 來偵測動能爆發。只有在價格突破上軌且通過宏觀濾網檢測時，才會觸發進場。 動態風控： 內建 ATR 動態追蹤止損演算法（圖表上的紅線），會隨著價格波動自動調整以鎖定獲利；若價格跌回通道中線則視為趨勢破壞，立即離場。 用法： 適用標的： 各類具備趨勢性的山寨幣 (如 SOL, ETH, MNT, DOGE 等)。 圖表說明： 藍線為通道範圍，紅線為追蹤止損點。 Concept & Originality: Trading Altcoins is risky because the crypto market is highly correlated with Bitcoin. Standard technical breakouts often fail ("fakeouts") when the broader market is bearish. MFVB is not a standard indicator but a specialized trend system driven by a proprietary Cross-Asset Synchronization Engine. It automatically fetches and analyzes Bitcoin's real-time trend data (BINANCE:BTCUSDT) to filter signals on Altcoins. This hard-coded inter-market logic ensures that trades are only taken when the macro environment is favorable. Key Features & Logic: Macro Gating Mechanism (The Gatekeeper): The script processes external BTC trend data (EMA 200) in the background. It applies a Market Regime Filter that forbids long positions on Altcoins if Bitcoin is in a downtrend. This logic is hard-coded to prevent trading against the tide. Volatility Breakout: Utilizes tuned Keltner Channels to identify genuine volatility expansions. A signal is triggered only when the price breaches the Upper Band AND the Macro Filter is confirmed bullish. Dynamic Risk Management: Features a built-in ATR-based trailing stop (visualized as the Red Line) which automatically adjusts to volatility to lock in profits, alongside a trend-invalidation exit at the channel median. Usage: Target Assets: Any trending Altcoins (e.g., SOL, ETH, MNT, DOGE, etc.). Visuals: Blue Lines: Volatility Channel. Red Line: Dynamic Trailing Stop.
Pine Script® Strategie
von Mark-Li0203
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets. Core Design Principles The strategy addresses three challenges specific to cryptocurrency trading: 24/7 market operation without session boundaries requires continuous monitoring and execution logic Volatility regimes shift rapidly, demanding adaptive stop and target calculations Tick-level responsiveness is critical for capturing momentum moves before they complete Strategy Architecture 1. Signal Generation Stack The strategy uses multiple technical indicators calibrated for cryptocurrency momentum: MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering RSI (21 period) and MFI (21 period) for momentum confirmation Bollinger Bands and Keltner Channels for squeeze detection 2. Volatility Regime Classification The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes: Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR) Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target) Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks. 3. Multi-Path Entry System Four independent signal pathways contribute to a composite strength score (0-100): Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance Additional scoring modifiers: Volume impulse: +5 points when present, -5 when absent Regime bonus: +5 in velocity, -2 in compression Cycle bias: +5 when aligned, -5 when counter-trend Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree. 4. Risk Management Framework Position sizing is calculated from: RiskCapital = Equity × (riskPerTradePct / 100) StopDistance = ATR × StopMultiplier(regime) Quantity = min(RiskCapital / StopDistance, MaxExposure / Price) The strategy includes: Risk per trade: 0.65% of equity (configurable) Maximum exposure: 12% of equity (configurable) Regime-adaptive stop and target multipliers Adaptive trailing stops based on ATR and regime Kill switch that disables new entries after 6.5% drawdown Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks 5. Additional Filters Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods Session Filter : Optional time-based restriction (disabled by default for 24/7 operation) Strategy Parameters All default values used in backtesting: Core Controls Enable Short Structure: true Restrict to Session Window: false Execution Session: 0000-2359:1234567 (24/7) Allow Same-Bar Re-Entry: true Optimization Constants MACD Fast Length: 8 MACD Slow Length: 21 MACD Signal Length: 5 EMA Fast: 8 EMA Mid: 21 EMA Slow: 34 EMA Slope Lookback: 8 Structure Break Window: 9 Regime Intelligence ATR Length: 21 Volatility Soothing: 13 Low Vol Regime Threshold: 0.8% ATR High Vol Regime Threshold: 1.6% ATR Cycle Bias Length: 55 Cycle Bias Threshold: 0.15% BTC Dominance Feed: CRYPTOCAP:BTC.D BTC Dominance Confirmation: true Signal Pathways Volume Baseline Length: 34 Volume Impulse Multiplier: 1.15 Volume Z-Score Threshold: 0.5 MACD Histogram Smoothing: 5 MACD Histogram Sensitivity: 1.15 RSI Length: 21 RSI Momentum Trigger: 55 MFI Length: 21 MFI Momentum Trigger: 55 Squeeze Length: 20 Bollinger Multiplier: 1.5 Keltner Multiplier: 1.8 Squeeze Release Momentum Gate: 1.0 Micro Pullback Depth: 7 Minimum Composite Signal Strength: 55 Risk Architecture Risk Allocation per Trade: 0.65% Max Exposure: 12% of Equity Base Risk/Reward Anchor: 1.8 Stop Multiplier • Low Regime: 1.05 Stop Multiplier • Medium Regime: 1.55 Stop Multiplier • High Regime: 2.1 Take Profit Multiplier • Low Regime: 1.6 Take Profit Multiplier • Medium Regime: 2.05 Take Profit Multiplier • High Regime: 2.8 Adaptive Trailing Engine: true Trailing Offset Multiplier: 0.9 Quantity Granularity: 0.001 Kill Switch Drawdown: 6.5% Strategy Settings Initial Capital: $100,000 Commission: 0.04% (0.04 commission_value) Slippage: 1 tick Pyramiding: 1 (no position stacking) calc_on_every_tick: true calc_on_order_fills: true Visualization Features The strategy includes: EMA ribbon overlay (8/21/34) with customizable colors Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta) Dynamic bar coloring based on signal strength divergence Signal labels for entry points On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics Recommended Usage Timeframes The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider: Increasing structure lookback windows Raising RSI trigger thresholds above 58 to filter noise Extending volume baseline length Markets Designed for high-liquidity cryptocurrency perpetual futures: BTC/USDT, BTC/USD perpetuals ETH perpetuals Major L1 tokens with sufficient volume For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums. Limitations and Compromises Backtesting Considerations TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context Market Structure Dependencies BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough Parameter Sensitivity Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk Execution Constraints Same-bar re-entry requires broker support for rapid order placement Quantity granularity must match exchange contract minimums Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset Performance Expectations This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on: Market conditions (trending vs. ranging) Exchange execution quality Parameter calibration for specific assets Risk management discipline Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital. Code Structure The strategy is organized into functional sections: Configuration groups for parameter organization Helper functions for position sizing and normalization Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics) Regime classification logic Multi-path signal generation and composite scoring Entry/exit orchestration with risk management Visualization layer with dashboard and chart elements The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets. Modification Guidelines When adapting this strategy: Document any parameter changes in your publication Test modifications across different market regimes Validate position sizing logic for your exchange's contract specifications Consider exchange-specific limitations (funding rates, liquidation mechanics, order types) Conclusion This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions. You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management. Disclaimer This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results. This strategy is provided "as is" without any warranties or guarantees of profitability You should not rely solely on this strategy for making trading decisions Always conduct your own research and analysis before making any financial decisions Consider consulting with a qualified financial advisor before engaging in trading activities The authors and contributors are not responsible for any losses incurred from using this strategy Cryptocurrency trading can result in the loss of your entire investment Only trade with capital you can afford to lose Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
Pine Script® Strategie
von officialjackofalltrades
Quant_DCA**Quant_DCA - Smart Dollar-Cost Averaging with Dynamic Position Sizing** Designed for SPY,QQQ,BTC Transform your DCA strategy with intelligent dip-buying. Instead of buying a fixed amount every week, Quant_DCA identifies quality dips and scales position sizes dynamically - buying more during significant corrections. **✨ KEY FEATURES** • 4% Minimum Threshold - Quality dips only, eliminates noise • Volume Confirmation - Requires 2x average volume spike • Volatility Confirmation - ATR and StdDev elevation required • 9-Tier Multiplier System - 1x to 20x based on dip severity • Conservative Risk - Max 20x multiplier, not extreme • Capital Efficient - Deploys ~60% of DCA capital, not 2-3x more • Real-Time Comparison - See DCA vs Quant performance live • Color-Coded Signals - Visual strength indicators • Smart Alerts - Detailed execution instructions **💰 POSITION SIZING** 4% dip → 1.0x 7.5% dip → 2.0x 10% dip → 2.8x 17% dip → 5.5x 28% dip → 10.5x 35% dip → 15.0x Max → 20.0x **📈 EXPECTED RESULTS (Realistic)** Based on QQQ 4H, 2022-2024 backtest: ✅ +10-20% share advantage vs DCA ✅ 15-20% better average cost ✅ ~60% capital deployment (similar to DCA) ✅ 30-45 quality signals per year ✅ +15-30% ROI advantage over 5-10 years **💡 CAPITAL REQUIREMENTS** **⚙️ QUICK START** 1. Add to QQQ 4H chart (optimized timeframe) 2. Keep default settings (pre-optimized) 3. Backtest from 2022-01-01 to present 4. Verify 10-20% share advantage shown 5. Create alerts for buy signals 6. Start with 50% position size 7. Execute ALL signals for 3 months 8. Scale to 100% after confidence built **🎯 WHO IS THIS FOR** ✅ Long-term investors (5+ year horizon) ✅ Accounts $25k+ (preferably $50k+) ✅ Those wanting better DCA results ✅ Disciplined traders who execute all signals ✅ Comfortable buying during crashes ✅ SPY/QQQ/GLD/BTC or any Index that always goes up over the long period of time ❌ NOT for: Day traders **⚠️ IMPORTANT DISCLAIMERS** • works best in volatile conditions • Requires 75%+ signal execution to achieve results • Need liquid reserves (5x max buy) ready at all times • Some years will lag DCA (wins over full market cycles) • Past performance does not guarantee future results • This is NOT financial advice - educational purposes only • Always do your own research and consult a financial advisor **🔧 SETTINGS** Pre-optimized for QQQ 4H timeframe. All settings are customizable: Dip Detection: • Min Dip: 4.0% (adjustable 1-10%) • Lookback: 10 bars • Fast EMA: 20 / Slow EMA: 50 • Volume: 2.0x threshold • Volatility: 1.5x threshold Multipliers: • 9 customizable tiers • Conservative 1-20x range • Exponential scaling Strategy: • Base: $1,000 (match your DCA) • DCA Frequency: Weekly • Start Date: Any backtest period **📊 RESULTS TABLE** Real-time metrics displayed: • Portfolio values (DCA vs Quant) • ROI percentages • Capital deployed (with ratio) • Share counts (with advantage %) • Average cost per share • Buy frequency and averages • Winner declaration **💡 PRO TIPS** 1. Execute within 1 hour of signal 2. Keep 5x max buy in liquid reserves 3. Don't skip signals - even small dips matter 4. Track actual vs backtest monthly 5. Think long-term (5-10 years) 6. Accept that some years lag DCA 7. Start conservative (50% size) 8. Build to 100% over time **🎓 WHY THIS WORKS** Academic research shows buying dips beats random timing over long periods: • Price advantage from buying declines • Psychological edge (buy fear) • Mean reversion tendency • Volume spikes mark capitulation • Volatility premium rewards patience Quant_DCA systematizes this with objective rules, quality filters, and conservative position sizing. **📝 VERSION INFO** Version: 1.0 - Balanced Edition License: Mozilla Public License 2.0 Author: Sahebson Optimized For: QQQ 4H timeframe **💬 FEEDBACK WELCOME** Share your backtest results or real-world performance in the comments! Questions? Ask below. Like this indicator? Give it a boost! 👍 Have suggestions? Comment! 💬 --- *Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always do your own research and consult with a qualified financial advisor before making investment decisions. The author is not responsible for any trading losses incurred using this indicator.* --- **Tags:** #DCA #SmartInvesting #DipBuying #QQQ #LongTerm #PositionSizing #RiskManagement #TradingStrategy
Pine Script® Indikator
von Sahebson
PDH Levels - (Asia / NY Sessions)PDH Levels is a clean, session-based indicator designed for intraday traders. It automatically plots: • Previous Day High (PDH) & Previous Day Low (PDL) • Asia Session High & Low (00:00 – 08:00 Europe/Berlin) • Asia Session Open (06:00 Europe/Berlin) • New York Open (15:30 Europe/Berlin) All levels are drawn as extended rays and update automatically each trading day. Only the current trading day is displayed, making the indicator fully compatible with Bar Replay and backtesting. Bar Replay: Levels are initialized on the active trading day. When starting Bar Replay, move forward one bar to load the current session data. The script uses a stable 1-minute data source and Europe/Berlin timezone for precise session handling. Ideal for: • Futures (NQ, ES, DAX) • Indices & CFDs • Intraday & session-based trading No repainting. No clutter. Designed for clarity and execution.
Pine Script® Indikator
von alieren125
Volume package OKX:BTCUSDT26Z2025 Volumn heat map, can clearly see more than 1.5 times 2.5 or 3.5. The parameters can be changed by yourself Chinese version. Color customization. Added moving average filtering. When the volume is greater than 1.5 times, an alarm can be set. Explain that the volume is large 成交量热图，能明显看到大于1.5倍数2.5或者3.5。参数可以自行改。中文版本。颜色自定义。加了均线过滤。当成交量大于1.5倍时，可以警报。说明成交量大
Pine Script® Indikator
von shen123123
IV Rank as a Label (Top Right)IV Rank (HV Proxy) – Label Displays an IV Rank–style metric using Historical Volatility (HV) as a proxy, since TradingView Pine Script does not provide access to true per-strike implied volatility or IV Rank. The script: Calculates annualized Historical Volatility (HV) from price returns Ranks current HV relative to its lookback range (default 252 bars) Displays the result as a clean, color-coded label in the top-right corner Color logic: 🟢 Green: Low volatility regime (IV Rank < 20) 🟡 Yellow: Neutral volatility regime (20–50) 🔴 Red: High volatility regime (> 50) This tool is intended for options context awareness, risk framing, and volatility regime identification, not as a substitute for broker-provided IV Rank. Best used alongside: Options chain implied volatility Delta / extrinsic value Time-to-expiration analysis Note: This indicator does not use true implied volatility data.
Pine Script® Indikator
von NikoRojas
Delta Divergence Alarm - XWiseTradeDetect hidden buying/selling pressure with real-time delta divergence alerts. This indicator aggregates lower timeframe volume to calculate delta and triggers alerts when: • Price makes a lower low/higher high but delta shows opposite pressure (hidden divergence) Features: • Supports ultra-low timeframes (1s, 15s, 1-15min) • Visual labels on divergence candles • Built-in alerts • Debug mode for data issues Perfect for spotting absorption, exhaustion, and potential reversals.
Pine Script® Indikator
von xwisetrade