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อินดิเคเตอร์และกลยุทธ์

LW Outside Day Strategy[SpeculationLab]This strategy is inspired by the “Outside Day” concept introduced by Larry Williams in Long-Term Secrets to Short-Term Trading, and has been extended with configurable risk management tools and realistic backtesting parameters. Concept The “Outside Day” is a classic price action pattern that reflects strong market rejection or continuation pressure. An Outside Bar occurs when the current bar’s high exceeds the previous high and the low falls below the previous low. A body-size filter ensures only significant candles are included. Entry Logic Buy setup: Price closes below the previous low (bullish rejection). Sell setup: Price closes above the previous high (bearish rejection). Only confirmed bars are used (no intrabar signals). Stop-Loss Modes Prev Low/High: Uses the previous swing point ± ATR-based buffer. ATR: Dynamic stop based on Average True Range × multiplier. Fixed Pips: User-defined fixed distance (for forex testing). Take-Profit Modes Prev High/Low (PHL): Exits near the opposite swing. Risk-Reward (RR): Targets a user-defined multiple of the stop distance (default = 2 : 1). Following Price Open (FPO): Exits on the next bar’s open if price opens in profit (used to test overnight price continuation). Risk Management & Backtest Settings Default risk per trade is set at 10% of account equity (user-adjustable). Commission = 0.1% and slippage = 2 ticks are applied to simulate realistic conditions. For reliable statistics, test on data that yields over 100 trades. Suitable for daily and 4-hour timeframes across stocks, forex, and crypto markets. Visual Elements Green and red triangles show entry signals. Stop-loss (red) and take-profit (green) reference lines are drawn for clarity. Optional alerts notify when a valid setup forms. Disclaimer This script is for educational and research purposes only. It does not constitute financial advice or guarantee profits. Always backtest thoroughly and manage your own risk. Enhancements over Classic Outside Bar Models Adjustable stop and target logic with ATR and buffer multipliers. “Following Price Open” exit logic for realistic day-end management. Optimized to avoid repainting and bar-confirmation issues. Built with realistic trading costs and position sizing. 策略逻辑 外包线识别 当日最高价高于前一日最高价，且当日最低价低于前一日最低价，即形成外包线。 同时过滤掉较小实体的 K 线，仅保留实体显著大于前一根的形态。 方向过滤 收盘价低于前一日最低价 → 视为买入信号。 收盘价高于前一日最高价 → 视为卖出信号。 止损设置（可选参数） 前低/高止损：以形态前低/前高为止损，带有缓冲倍数。 ATR 止损：根据平均波动率（ATR）动态调整。 固定点数止损：按照用户设定的点数作为止损范围。 止盈设置（可选参数） 前高/低止盈（PHL）：以前高/前低为目标。 固定盈亏比（RR）：根据用户设定的风险回报比自动计算。 隔夜开盘（FPO）：若次日开盘价高于进场价（多单）或低于进场价（空单），则平仓。 信号标记 在图表中标注买入/卖出信号（三角形标记）。 绘制止损与目标位参考线。 使用说明 适用周期：建议用于 日线图（Daily）。 适用市场：股票、外汇、加密货币等各类市场均可。 提示：此策略为历史研究与学习用途，不构成投资建议。实际交易请结合自身风险管理。
กลยุทธ์ Pine Script®
โดย SpeculationLab
NYSE FOMO Indicator (Up/Down Volume Ratio)This script plots the NYSE Sentiment Gauge, based on the daily Up/Down Volume Ratio (UVOL ÷ DVOL). It measures crowd emotion in the overall market: • ≥ 3 = Red: FOMO, extreme buying. • 2–3 = Yellow: Cautious optimism. • 0.5–2 = Grey: Neutral zone. • 0.33–0.5 = Green: Emerging fear. • ≤ 0.33 = Bright Green: Panic selling, potential bottom. The line color and chart background change according to these zones, visually showing shifts in market sentiment.
อินดิเคเตอร์ Pine Script®
โดย senglee_tan
Orderflow Label with OffsetThis Pine Script automatically displays orderflow labels on the chart to visualize the current market structure and potential breakout or reversal zones. It compares the current candle’s high and low with those of the previous cycle (e.g., 90 minutes) and places descriptive labels that highlight possible bullish or bearish behavior. Functionality & Logic (Step-by-step explanation) Inputs: cycleLength: Defines the duration of one “cycle” in minutes (for example, 90 minutes). labelXOffset: Moves the label a few bars to the right, so it doesn’t overlap the current candle. labelStyleOffset: Controls whether labels appear pointing to the right or left side of the chart. Previous Cycle: The script uses request.security to retrieve the high and low from the previous cycle timeframe. These act as reference points (similar to key levels or market structure highs/lows). Current Candle: The script reads the current bar’s high, low, and close values for comparison. Orderflow Conditions: bullSupport: The current high and close are both above the previous high → bullish breakout (strong continuation). bullReject: The high breaks above the previous high but closes below → bullish rejection / possible top. bearRes: The low and close are both below the previous low → bearish breakdown (continuation to downside). bearReclaim: The low goes below the previous low but closes above → bearish reclaim / possible reversal. Label Logic: Before creating a new label, the previous one is deleted (label.delete(flowLbl)) to avoid clutter. The label’s X position is shifted using xPos = bar_index + labelXOffset. The style (left/right) is set based on the user’s preference. Displayed Labels: 🟢 Bullish Breakout → price closes above the previous cycle high. 🟠 Bullish Rejection → fake breakout or possible top. 🔴 Bearish Breakdown → price closes below the previous cycle low. 🟡 Bearish Reclaim → failed breakdown or potential trend reversal. ⚪ Neutral (Wait) → no clear signal, advises patience and watching for setups (like CHoCH or FVGs). Visual Behavior: The labels appear slightly to the right of the bar for better visibility. The color and text alignment dynamically adjust depending on whether the label is pointing left or right.
อินดิเคเตอร์ Pine Script®
โดย morris220768
MACD Enhanced [DCAUT]█ MACD Enhanced 📊 ORIGINALITY & INNOVATION The MACD Enhanced represents a significant improvement over traditional MACD implementations. While Gerald Appel's original MACD from the 1970s was limited to exponential moving averages (EMA), this enhanced version expands algorithmic options by supporting 21 different moving average calculations for both the main MACD line and signal line independently. This improvement addresses an important limitation of traditional MACD: the inability to adapt the indicator's mathematical foundation to different market conditions. By allowing traders to select from algorithms ranging from simple moving averages (SMA) for stability to advanced adaptive filters like Kalman Filter for noise reduction, this implementation changes MACD from a fixed-algorithm tool into a flexible instrument that can be adjusted for specific market environments and trading strategies. The enhanced histogram visualization system uses a four-color gradient that helps communicate momentum strength and direction more clearly than traditional single-color histograms. 📐 MATHEMATICAL FOUNDATION The core calculation maintains the proven MACD formula: Fast MA(source, fastLength) - Slow MA(source, slowLength), but extends it with algorithmic flexibility. The signal line applies the selected smoothing algorithm to the MACD line over the specified signal period, while the histogram represents the difference between MACD and signal lines. Available Algorithms: The implementation supports a comprehensive spectrum of technical analysis algorithms: Basic Averages: SMA (arithmetic mean), EMA (exponential weighting), RMA (Wilder's smoothing), WMA (linear weighting) Advanced Averages: HMA (Hull's low-lag), VWMA (volume-weighted), ALMA (Arnaud Legoux adaptive) Mathematical Filters: LSMA (least squares regression), DEMA (double exponential), TEMA (triple exponential), ZLEMA (zero-lag exponential) Adaptive Systems: T3 (Tillson T3), FRAMA (fractal adaptive), KAMA (Kaufman adaptive), MCGINLEY_DYNAMIC (reactive to volatility) Signal Processing: ULTIMATE_SMOOTHER (low-pass filter), LAGUERRE_FILTER (four-pole IIR), SUPER_SMOOTHER (two-pole Butterworth), KALMAN_FILTER (state-space estimation) Specialized: TMA (triangular moving average), LAGUERRE_BINOMIAL_FILTER (binomial smoothing) Each algorithm responds differently to price action, allowing traders to match the indicator's behavior to market characteristics: trending markets benefit from responsive algorithms like EMA or HMA, while ranging markets require stable algorithms like SMA or RMA. 📊 COMPREHENSIVE SIGNAL ANALYSIS Histogram Interpretation: Positive Values: Indicate bullish momentum when MACD line exceeds signal line, suggesting upward price pressure and potential buying opportunities Negative Values: Reflect bearish momentum when MACD line falls below signal line, indicating downward pressure and potential selling opportunities Zero Line Crosses: MACD crossing above zero suggests transition to bullish bias, while crossing below indicates bearish bias shift Momentum Changes: Rising histogram (regardless of positive/negative) signals accelerating momentum in the current direction, while declining histogram warns of momentum deceleration Advanced Signal Recognition: Divergences: Price making new highs/lows while MACD fails to confirm often precedes trend reversals Convergence Patterns: MACD line approaching signal line suggests impending crossover and potential trade setup Histogram Peaks: Extreme histogram values often mark momentum exhaustion points and potential reversal zones 🎯 STRATEGIC APPLICATIONS Comprehensive Trend Confirmation Strategies: Primary Trend Validation Protocol: Identify primary trend direction using higher timeframe (4H or Daily) MACD position relative to zero line Confirm trend strength by analyzing histogram progression: consistent expansion indicates strong momentum, contraction suggests weakening Use secondary confirmation from MACD line angle: steep angles (>45°) indicate strong trends, shallow angles suggest consolidation Validate with price structure: trending markets show consistent higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend) Entry Timing Techniques: Pullback Entries in Uptrends: Wait for MACD histogram to decline toward zero line without crossing, then enter on histogram expansion with MACD line still above zero Breakout Confirmations: Use MACD line crossing above zero as confirmation of upward breakouts from consolidation patterns Continuation Signals: Look for MACD line re-acceleration (steepening angle) after brief consolidation periods as trend continuation signals Advanced Divergence Trading Systems: Regular Divergence Recognition: Bullish Regular Divergence: Price creates lower lows while MACD line forms higher lows. This pattern is traditionally considered a potential upward reversal signal, but should be combined with other confirmation signals Bearish Regular Divergence: Price makes higher highs while MACD shows lower highs. This pattern is traditionally considered a potential downward reversal signal, but trading decisions should incorporate proper risk management Hidden Divergence Strategies: Bullish Hidden Divergence: Price shows higher lows while MACD displays lower lows, indicating trend continuation potential. Use for adding to existing long positions during pullbacks Bearish Hidden Divergence: Price creates lower highs while MACD forms higher highs, suggesting downtrend continuation. Optimal for adding to short positions during bear market rallies Multi-Timeframe Coordination Framework: Three-Timeframe Analysis Structure: Primary Timeframe (Daily): Determine overall market bias and major trend direction. Only trade in alignment with daily MACD direction Secondary Timeframe (4H): Identify intermediate trend changes and major entry opportunities. Use for position sizing decisions Execution Timeframe (1H): Precise entry and exit timing. Look for MACD line crossovers that align with higher timeframe bias Timeframe Synchronization Rules: Daily MACD above zero + 4H MACD rising = Strong uptrend context for long positions Daily MACD below zero + 4H MACD declining = Strong downtrend context for short positions Conflicting signals between timeframes = Wait for alignment or use smaller position sizes 1H MACD signals only valid when aligned with both higher timeframes Algorithm Considerations by Market Type: Trending Markets: Responsive algorithms like EMA, HMA may be considered, but effectiveness should be tested for specific market conditions Volatile Markets: Noise-reducing algorithms like KALMAN_FILTER, SUPER_SMOOTHER may help reduce false signals, though results vary by market Range-Bound Markets: Stability-focused algorithms like SMA, RMA may provide smoother signals, but individual testing is required Short Timeframes: Low-lag algorithms like ZLEMA, T3 theoretically respond faster but may also increase noise Important Note: All algorithm choices and parameter settings should be thoroughly backtested and validated based on specific trading strategies, market conditions, and individual risk tolerance. Different market environments and trading styles may require different configuration approaches. 📋 DETAILED PARAMETER CONFIGURATION Comprehensive Source Selection Strategy: Price Source Analysis and Optimization: Close Price (Default): Most commonly used, reflects final market sentiment of each period. Best for end-of-day analysis, swing trading, daily/weekly timeframes. Advantages: widely accepted standard, good for backtesting comparisons. Disadvantages: ignores intraday price action, may miss important highs/lows HL2 (High+Low)/2: Midpoint of the trading range, reduces impact of opening gaps and closing spikes. Best for volatile markets, gap-prone assets, forex markets. Calculation impact: smoother MACD signals, reduced noise from price spikes. Optimal when asset shows frequent gaps, high volatility during specific sessions HLC3 (High+Low+Close)/3: Weighted average emphasizing the close while including range information. Best for balanced analysis, most asset classes, medium-term trading. Mathematical effect: 33% weight to high/low, 33% to close, provides compromise between close and HL2. Use when standard close is too noisy but HL2 is too smooth OHLC4 (Open+High+Low+Close)/4: True average of all price points, most comprehensive view. Best for complete price representation, algorithmic trading, statistical analysis. Considerations: includes opening sentiment, smoothest of all options but potentially less responsive. Optimal for markets with significant opening moves, comprehensive trend analysis Parameter Configuration Principles: Important Note: Different moving average algorithms have distinct mathematical characteristics and response patterns. The same parameter settings may produce vastly different results when using different algorithms. When switching algorithms, parameter settings should be re-evaluated and tested for appropriateness. Length Parameter Considerations: Fast Length (Default 12): Shorter periods provide faster response but may increase noise and false signals, longer periods offer more stable signals but slower response, different algorithms respond differently to the same parameters and may require adjustment Slow Length (Default 26): Should maintain a reasonable proportional relationship with fast length, different timeframes may require different parameter configurations, algorithm characteristics influence optimal length settings Signal Length (Default 9): Shorter lengths produce more frequent crossovers but may increase false signals, longer lengths provide better signal confirmation but slower response, should be adjusted based on trading style and chosen algorithm characteristics Comprehensive Algorithm Selection Framework: MACD Line Algorithm Decision Matrix: EMA (Standard Choice): Mathematical properties: exponential weighting, recent price emphasis. Best for general use, traditional MACD behavior, backtesting compatibility. Performance characteristics: good balance of speed and smoothness, widely understood behavior SMA (Stability Focus): Equal weighting of all periods, maximum smoothness. Best for ranging markets, noise reduction, conservative trading. Trade-offs: slower signal generation, reduced sensitivity to recent price changes HMA (Speed Optimized): Hull Moving Average, designed for reduced lag. Best for trending markets, quick reversals, active trading. Technical advantage: square root period weighting, faster trend detection. Caution: can be more sensitive to noise KAMA (Adaptive): Kaufman Adaptive MA, adjusts smoothing based on market efficiency. Best for varying market conditions, algorithmic trading. Mechanism: fast smoothing in trends, slow smoothing in sideways markets. Complexity: requires understanding of efficiency ratio Signal Line Algorithm Optimization Strategies: Matching Strategy: Use same algorithm for both MACD and signal lines. Benefits: consistent mathematical properties, predictable behavior. Best when backtesting historical strategies, maintaining traditional MACD characteristics Contrast Strategy: Use different algorithms for optimization. Common combinations: MACD=EMA, Signal=SMA for smoother crossovers, MACD=HMA, Signal=RMA for balanced speed/stability, Advanced: MACD=KAMA, Signal=T3 for adaptive behavior with smooth signals Market Regime Adaptation: Trending markets: both fast algorithms (EMA/HMA), Volatile markets: MACD=KALMAN_FILTER, Signal=SUPER_SMOOTHER, Range-bound: both slow algorithms (SMA/RMA) Parameter Sensitivity Considerations: Impact of Parameter Changes: Length Parameter Sensitivity: Small parameter adjustments can significantly affect signal timing, while larger adjustments may fundamentally change indicator behavior characteristics Algorithm Sensitivity: Different algorithms produce different signal characteristics. Thoroughly test the impact on your trading strategy before switching algorithms Combined Effects: Changing multiple parameters simultaneously can create unexpected effects. Recommendation: adjust parameters one at a time and thoroughly test each change 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Response Characteristics by Algorithm: Fastest Response: ZLEMA, HMA, T3 - minimal lag but higher noise Balanced Performance: EMA, DEMA, TEMA - good trade-off between speed and stability Highest Stability: SMA, RMA, TMA - reduced noise but increased lag Adaptive Behavior: KAMA, FRAMA, MCGINLEY_DYNAMIC - automatically adjust to market conditions Noise Filtering Capabilities: Advanced algorithms like KALMAN_FILTER and SUPER_SMOOTHER help reduce false signals compared to traditional EMA-based MACD. Noise-reducing algorithms can provide more stable signals in volatile market conditions, though results will vary based on market conditions and parameter settings. Market Condition Adaptability: Unlike fixed-algorithm MACD, this enhanced version allows real-time optimization. Trending markets benefit from responsive algorithms (EMA, HMA), while ranging markets perform better with stable algorithms (SMA, RMA). The ability to switch algorithms without changing indicators provides greater flexibility. Comparative Performance vs Traditional MACD: Algorithm Flexibility: 21 algorithms vs 1 fixed EMA Signal Quality: Reduced false signals through noise filtering algorithms Market Adaptability: Optimizable for any market condition vs fixed behavior Customization Options: Independent algorithm selection for MACD and signal lines vs forced matching Professional Features: Advanced color coding, multiple alert conditions, comprehensive parameter control USAGE NOTES This indicator is designed for technical analysis and educational purposes. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always combine with proper risk management and thorough strategy testing.
อินดิเคเตอร์ Pine Script®
โดย DCAUT
Crypto Mean Reversion System (Pullback & Bounce)Mean Reversion Theory The indicator operates on the principle that extreme price movements in crypto markets tend to revert toward their mean over time. Consider this a valuable aid for your dollar-cost averaging strategy, effectively identifying periods ripe for accumulating or divesting from the market. Research shows that: Short-term momentum often persists briefly after surges, but extreme moves trigger mean reversion Sharp drops exhibit strong bounce patterns, especially after capitulation events Longer timeframes (7-day) show stronger mean reversion tendencies than shorter ones (1-day) Timeframe Analysis 1-Day Timeframe Pullback probabilities: 45-85% depending on surge magnitude Bounce probabilities: 55-95% depending on drop severity Captures immediate overextension and panic selling More volatile but faster signal generation 7-Day Timeframe Pullback probabilities: 50-90% (higher confidence) Bounce probabilities: 50-90% (slightly moderated) Filters out noise and identifies sustained trends Stronger mean reversion signals due to extended moves Probability Tiers Pullback Risk (After Surges) Moderate (45-60%): 5-10% surge → Expected -3% to -12% pullback High (55-70%): 10-15% surge → Expected -5% to -18% pullback Very High (65-80%): 15-25% surge → Expected -10% to -25% pullback Extreme (75-90%): 25%+ surge → Expected -15% to -40% pullback Bounce Probability (After Drops) Moderate (55-65%): -5% to -10% drop → Expected +3% to +10% bounce High (65-75%): -10% to -15% drop → Expected +6% to +18% bounce Very High (75-85%): -15% to -25% drop → Expected +10% to +30% bounce Extreme (85-95%): -25%+ drop → Expected +18% to +45% bounce The probability ranges are derived from: Crypto volatility patterns: Higher volatility than traditional assets creates stronger mean reversion Behavioral finance: Extreme moves trigger emotional trading (FOMO/panic) that reverses Historical backtesting: Probability estimates based on typical reversion patterns in crypto markets Timeframe correlation: Longer timeframes show increased reversion probability due to reduced noise Key Features Dual-direction signals: Identifies both overbought (pullback) and oversold (bounce) conditions Multi-timeframe confirmation: 1D and 7D analysis for different trading styles Customizable thresholds: Adjust sensitivity based on asset volatility Visual alerts: Color-coded labels and table for quick assessment Risk categorization: Clear severity levels for position sizing
อินดิเคเตอร์ Pine Script®
โดย Zorgs
特典インジケーター　（ボリンジャーバンド+移動平均線）BTCやSP500向けのチャート解析ツールです。 - ボリンジャーバンド（オレンジ上下線、水色中央線） - EMA5（青線）、EMA25（黄色線）、EMA200（赤線） 使い方のポイント - トレンド判定: EMA200（赤）より上なら上昇基調、下なら下降基調が優勢。 - 短中期の勢い: EMA5（青）とEMA25（黄）のゴールデンクロス／デッドクロスで勢いの変化を確認。 - ボラティリティと逆張り: ボリンジャーバンドの上限／下限タッチは伸びの継続か反転の初動かを、中央線（基準・水色）復帰でフォロー確認。 - 時間軸: 1時間～4時間は短期、日足は中期のトレンド確認に適合。複数時間軸で整合性を取ると精度が上がります。 ツールの解説 ボリンジャーバンド（Bollinger Bands） ボリンジャーバンドは、20期間の単純移動平均（SMA）を中央線とし、その上下に標準偏差×2のバンドを配置します。 - 上限バンド：相場の上振れが過熱している可能性を示すレジスタンスライン - 下限バンド：相場の下振れが過冷却している可能性を示すサポートライン - バンド幅の拡大：ボラティリティ上昇局面を示唆 - バンド幅の収縮：レンジ相場や転換前の低ボラティリティを示唆 --------------------- EMA5（Exponential Moving Average 5） EMA5は直近5本の価格により重み付けされた指数移動平均です。 - 非常に短期的な価格の変化を捉え、エントリーや還流のタイミングに敏感 - EMA25とのクロスオーバーで、短期モメンタムの変化を判断 EMA25（Exponential Moving Average 25） EMA25は中期的なトレンドを表す指数移動平均です。 - EMA5との位置関係でトレンドの強さや方向性を評価 - 価格がEMA25を上回れば短期的な買い優勢、下回れば売り優勢 EMA200（Exponential Moving Average 200） EMA200は長期トレンドの大局を示す指数移動平均です。 - プロのトレーダーにも重要視されるサポート／レジスタンスライン - 価格がEMA200を上回ると長期的に強気、市場全体のセンチメント確認に利用 Chart Analysis Tool for BTC and S&P500 - Bollinger Bands (orange upper/lower lines, light blue middle line) - EMA5 (blue line), EMA25 (yellow line), EMA200 (red line)
อินดิเคเตอร์ Pine Script®
โดย N-1111
MA Crossover Strategy V6//@version=6 strategy("MA Crossover Strategy V6", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === Inputs === shortLength = input.int(9, title="Short MA Length", minval=1) longLength = input.int(21, title="Long MA Length", minval=1) useEMA = input.bool(false, title="Use EMA Instead of SMA") // === Moving Averages === shortMA = useEMA ? ta.ema(close, shortLength) : ta.sma(close, shortLength) longMA = useEMA ? ta.ema(close, longLength) : ta.sma(close, longLength) // === Plot MAs === plot(shortMA, color=color.orange, title="Short MA", linewidth=2) plot(longMA, color=color.blue, title="Long MA", linewidth=2) // === Entry Conditions === longCondition = ta.crossover(shortMA, longMA) shortCondition = ta.crossunder(shortMA, longMA) // === Strategy Logic === if (longCondition) strategy.entry("Long", strategy.long) if (shortCondition) strategy.entry("Short", strategy.short) // === Optional: Plot Buy/Sell Signals === plotshape(longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small) plotshape(shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
กลยุทธ์ Pine Script®
โดย anguyen724
Stop Hunt Candlesticks (Liquidity Wicks)🕯️ Stop Hunt Candlesticks Wick Highlighter – Spot Extreme Wicks Instantly This indicator highlights candles where the upper or lower wick exceeds a customizable percentage of the asset’s price — perfect for quickly spotting strong rejections, liquidity grabs, stop hunts or exhaustion moves. 💡 Key Features Visual Background Highlight: Automatically colors the chart background when a wick surpasses your defined % threshold (default 1%). Customizable Threshold: Adjust wick sensitivity to suit different assets or timeframes. Upper & Lower Wick Filters: Choose whether to track upper wicks, lower wicks, or both. Dynamic Price Basis: Compare wick size relative to Close, Open, HL2, or OC2. Optional Labels: Display the exact wick percentage directly on the chart. Alerts Ready: Get notified whenever a candle shows an extreme wick condition. ⚙️ How It Works The script measures each candle’s wick size relative to your chosen price basis: Upper wick % = (High − max(Open, Close)) / Basis × 100 Lower wick % = (min(Open, Close) − Low) / Basis × 100 If the result exceeds your chosen threshold, the chart background changes color. Red for upper wicks, green for lower wicks by default. 🎯 Use Cases Identify strong rejections or stop hunts near key levels. Confirm price exhaustion or potential reversals. Filter fake breakouts or high-volatility events. 🧩 Customization Tweak colors, transparency, and label visibility to fit seamlessly into your chart setup.
อินดิเคเตอร์ Pine Script®
โดย AGreatEscape
Commodity Pulse Matrix (CPM) [WavesUnchained] [Strategy]Commodity Pulse Matrix (CPM) - Strategy Version ⚠️ Development Status ACTIVE DEVELOPMENT - This strategy is currently under heavy development and optimization. The risk management settings, entry/exit logic, and parameter tuning are still being refined and are NOT yet satisfactory for live trading. Current development areas: Stop-loss and take-profit optimization Position sizing and risk management Entry timing and signal filtering Backtest validation across different market conditions ⚠️ Use for testing and backtesting only - NOT recommended for live trading yet! For detailed information about the underlying indicator logic, signals, and analysis methods, please refer to the Commodity Pulse Matrix (CPM) indicator description. Overview The CPM Strategy is an automated trading system based on the Commodity Pulse Matrix indicator. It converts the indicator's multi-timeframe confluence signals into executable trades with dynamic ATR-based risk management. Strategy Core Features Signal Sources The strategy trades based on: Strong Buy/Sell signals from the CPM indicator Multi-timeframe alignment (configurable: 3/3, 2/3, or score-only) EMA-200 trend filter (prevents counter-trend entries) Dynamic signal cooldown (5-8 bars) Optional reversal zone signals (triple-confirmed) Risk Management (ATR-Based) Stop-Loss & Take-Profit Stop-Loss: 2.5x ATR (default) - Dynamic distance based on volatility Take-Profit: 4.0x ATR (default) - Risk/Reward ratio of 1.6:1 ATR Length: 14 periods (adjustable) Both SL and TP adjust to current market volatility Trailing Stop (Optional) Enabled by default Trails at 2.5x ATR distance Protects profits in trending moves Can be disabled for fixed SL/TP only Position Management Trade Direction Filter Both Directions (default) - Trade both Long and Short Long Only - Only enter long positions Short Only - Only enter short positions Cooldown After Exit Default: 3 bars minimum after closing a position Prevents immediate re-entry (whipsaw protection) Adjustable from 0 (disabled) to any number of bars Signal Filtering Signal Mode (Timeframe Consensus) Strict (3/3 TFs): All 3 timeframes must agree - Most conservative Majority (2/3 TFs): At least 2 of 3 timeframes agree - Balanced (default) Flexible (Score Only): Overall score threshold only - Most signals Optional Filters Min ABS(overallScore): Only trade when confluence score meets minimum (default: 0 = disabled) Confirmed Bar Only: Wait for bar close before entry (prevents repainting) - Recommended ON Strategy Settings Guide For Conservative Trading (Lower Risk) Signal Mode: "Strict (3/3 TFs)" Stop-Loss: 3.0x ATR or higher Take-Profit: 5.0x ATR or higher Trailing Stop: Enabled Cooldown: 5-10 bars Min Score: 8.0 or higher For Aggressive Trading (More Signals) Signal Mode: "Flexible (Score Only)" Stop-Loss: 2.0x ATR Take-Profit: 3.0x ATR Trailing Stop: Optional Cooldown: 0-3 bars Min Score: 4.0 or disabled For Balanced Trading (Recommended Starting Point) Signal Mode: "Majority (2/3 TFs)" Stop-Loss: 2.5x ATR Take-Profit: 4.0x ATR Trailing Stop: Enabled Cooldown: 3 bars Min Score: 6.0-8.0 TradingView Strategy Tester Settings Essential Settings to Configure: Properties Tab Initial Capital: Set to realistic account size Order Size: Use "% of Equity" (e.g., 10-25% per trade) Commission: Set realistic commission (e.g., 0.05% for crypto, 0.1% for stocks) Slippage: Add realistic slippage (1-3 ticks for liquid markets) Verify "Recalculate: On Every Tick" is DISABLED (for realistic backtests) Inputs Tab Adjust ATR multipliers for your market Set appropriate cooldown period Choose signal mode based on desired trade frequency Enable/disable trailing stop Configure directional filter if needed Backtesting Recommendations Before Using This Strategy: Test across multiple markets - What works for one commodity may not work for another Test different timeframes - Strategy behavior changes significantly with TF Test different market conditions - Trending vs ranging markets Validate performance metrics - Win rate, profit factor, max drawdown, Sharpe ratio Forward test on paper account - Before risking real capital Key Metrics to Monitor: Win Rate (aim for >40% minimum) Profit Factor (aim for >1.5) Max Drawdown (should be acceptable for your risk tolerance) Sharpe Ratio (higher is better, >1.0 is good) Average Trade (should be positive after commissions/slippage) Known Limitations Range-bound markets: May produce more whipsaws despite filters Low volatility: ATR-based stops may be too tight High volatility: ATR-based stops may be too wide News events: Strategy cannot account for fundamental shocks Signal timing: Entry timing is still being optimized Indicator vs Strategy When to use the Indicator: - Manual trading with discretion - Confluence analysis and timing - Multiple signal validation - Learning market structure When to use the Strategy: - Automated backtesting - System validation - Parameter optimization - Performance measurement ⚠️ The indicator provides richer information and context than the strategy can execute! Technical Details Pine Script v6 Non-repainting: Uses confirmed bars for HTF data Strategy type: Long/Short with dynamic stops Risk management: ATR-based (adaptive to volatility) Position sizing: Configured in Strategy Tester Pyramiding: Default 1 (no adding to positions) Important Notes ⚠️ Strategy parameters are still under optimization - Current settings may not be optimal for all markets or timeframes ⚠️ Backtest thoroughly before live trading - Test across different market conditions and timeframes ⚠️ Risk management is critical - Use appropriate position sizing (1-2% risk per trade recommended) ⚠️ Market conditions change - A strategy that works in trending markets may fail in ranging markets ⚠️ Commission and slippage matter - Always include realistic costs in backtests ✅ Start with conservative settings and optimize gradually ✅ Paper trade before going live ✅ Monitor performance and adjust as needed ✅ Never risk more than you can afford to lose Disclaimer Educational and testing purposes only. Not financial advice. This strategy is provided as-is for backtesting and educational purposes. Past performance is not indicative of future results. Trading involves substantial risk of loss. The developer is not responsible for any losses incurred from using this strategy. Always do your own research, backtest thoroughly, and consult with a qualified financial advisor before making trading decisions. NEVER use this strategy with real money until: You have thoroughly backtested it on your specific market and timeframe You understand all parameters and their impact You have forward tested it on a paper account You are comfortable with the maximum drawdown and risk profile The strategy has been marked as production-ready by the developer Version v1.2 - Strategy Adapter (Active Development) Based on: Commodity Pulse Matrix v1.2 Indicator Last Updated: 2025-10-10 For detailed indicator documentation, see the Commodity Pulse Matrix (CPM) indicator description.
กลยุทธ์ Pine Script®
โดย WavesUnchained
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights. Key Features: • Automatic Bull/Bear Market Zone Detection with color-coded areas • Historical Halving Analysis (2012-2028) with future projections • Live Performance Tracking during bull phases (returns, max drawdown) • Customizable cycle parameters (days before/after halving) • Interactive info table showing current cycle phase and metrics • Visual timeline markers for halving dates and cycle boundaries Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
อินดิเคเตอร์ Pine Script®
โดย akaLOCKSMITH
Uptrick: Volatility Adjusted TrailIntroduction The "Uptrick: Volatility Adjusted Trail" is a dynamic trailing band indicator. It adapts in real time to changing market conditions by adjusting both to volatility and trend consistency. Inspired by Supertrend-style logic, it enhances traditional approaches by introducing adaptive mechanisms for more context-sensitive behavior in both trending and consolidating environments. Overview This indicator combines an exponential moving average (EMA) as its basis with an Average True Range (ATR)-derived multiplier that adjusts dynamically. Unlike fixed-multiplier tools, this indicator modifies its band distances in real time according to volatility expansion and trend persistence. The result is a trailing system that adapts to the prevailing market regime, providing traders with clearer signals for trend bias, stop placement, and potential momentum shifts. Originality The script’s originality lies in its multi-layered approach to trail calculation. It introduces a real-time ATR multiplier adjustment driven by two factors: a volatility expansion ratio and a trend persistence model. The expansion ratio compares the current ATR to its moving average, making the indicator more sensitive during volatile conditions and less sensitive during quieter periods. The trend persistence model assesses directional consistency to widen the bands during sustained trends. This dual adjustment method creates a system that evolves with market behavior, making it more responsive and adaptive than static-band or fixed-multiplier alternatives. Components & Inspiration This indicator was designed with specific components that work together: Exponential Moving Average (EMA): Chosen as the central baseline because it responds faster to recent price changes than a simple moving average, providing a more current reference for trailing bands. Average True Range (ATR): Used as the volatility measure because it accounts for both intraday and gap movement, making it a robust and widely accepted standard for market volatility. Dynamic Multiplier: The multiplier is adjusted by both volatility expansion and trend persistence to produce bands that tighten during low volatility and widen during consistent trends. This combination was chosen to give the indicator the ability to self-regulate across different market regimes. Trend Persistence Model: Integrated to assess directional consistency, ensuring the bands expand during strong trends, which can prevent premature stop-outs. Flip Confirmation Logic: Added to filter out noise by requiring multiple bar closes beyond a band before confirming a state change, reducing false reversals. For inspiration, the indicator draws on the core idea behind Supertrend—using a baseline and volatility-derived bands to define trailing stop levels. However, while Supertrend uses a fixed ATR multiplier, this indicator introduces a dynamic multiplier system and persistence weighting, making it more adaptive and suited for varying conditions. Inputs and Parameters Basis EMA Length Defines the period for the EMA that serves as the core price reference. ATR Length Sets the lookback period for the Average True Range calculation used in band spacing. Base ATR Mult The base multiplier applied to ATR before adjustments. Forms the starting scale of the band offset. Volatility Expansion Sensitivity Controls how strongly the band spacing reacts to short-term volatility bursts. Higher values create more pronounced band expansions or contractions. Trend Persistence Window Determines how many bars are used to calculate directional trend consistency using a smoothed step function. Persistence Impact Scales how much influence the trend persistence has on band widening. Values range from 0 (no effect) to 1 (maximum effect). Min Effective Mult Sets the minimum value that the adjusted multiplier can reach. Prevents the bands from becoming too narrow. Max Effective Mult Sets the maximum value the adjusted multiplier can reach. Prevents the bands from over-expanding during high volatility. Bars Above/Below to Confirm Flip Number of consecutive bars required to close above or below the opposing trail before confirming a bullish or bearish flip. Helps reduce noise and false signals. Show Flip Labels Enables or disables the display of flip markers on the chart. Label Size Allows users to adjust the size of flip labels from Tiny to Huge. Label ATR Offset Adjusts the vertical placement of flip labels in relation to the trail using an ATR-based offset. Features and Logic EMA Basis: All calculations stem from an EMA that tracks the centerline of price action. Dynamic ATR Multiplier: The ATR multiplier adjusts in real time based on volatility expansion and trend persistence. Clamped Multiplier: The adjusted multiplier is limited between user-defined minimum and maximum values to keep the band scale practical. Upper and Lower Bands: Bands are plotted above and below the EMA using the dynamic multiplier and ATR values. Trailing Logic: The script uses Supertrend-style trailing logic, updating the active band in the current trend direction and resetting the opposite band. Trend State Detection: A state variable tracks the current market regime (bullish, bearish, or neutral). Transitions are confirmed only after a user-specified number of bars close beyond the respective bands. Visual Elements: Trail lines and fill zones are color-coded (bullish cyan, bearish magenta). Candlestick and bar colors match the trend state. Optional flip labels mark confirmed transitions. Alerts: Built-in alert conditions allow users to receive real-time notifications for bullish or bearish flips. Usage Guidelines This indicator can be used for: Defining context-aware dynamic stop levels that adjust with market behavior. Identifying trend direction and reversal points based on adaptive logic. Filtering entry or exit signals during trending vs. consolidating conditions. Supplementing trade management strategies with responsive visual markers. Entering long or short positions based on the appearance of flip labels and managing stop losses by following the adaptive trail. Traders may tune the parameters to suit different trading styles or timeframes. For example, lower ATR and EMA values may suit intraday setups, while longer settings may benefit swing or positional trading. Summary The "Uptrick: Volatility Adjusted Trail" provides a flexible, adaptive trailing band system that accounts for both volatility and directional consistency. By combining an EMA baseline with a dynamic ATR multiplier influenced by volatility expansion and trend persistence, it creates a context-sensitive trailing system that aligns with changing market conditions. Customizable confirmation, flip labels, alerts, and dynamic visual cues make it a versatile tool for trend-following, breakout filtering, and trailing stop logic. Disclaimer This indicator is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
อินดิเคเตอร์ Pine Script®
โดย Uptrick
1
Larry Williams Oops StrategyThis strategy is a modern take on Larry Williams’ classic Oops setup. It trades intraday while referencing daily bars to detect opening gaps and align entries with the prior day’s direction. Risk is managed with day-based stops, and—unlike the original—all positions are closed at the end of the session (or at the last bar’s close), not at a fixed profit target or the first profitable open. Entry Rules Long setup (bullish reversion): Today opens below yesterday’s low (down gap) and yesterday’s candle was bearish. Place a buy stop at yesterday’s low + Filter (ticks). Short setup (bearish reversion): Today opens above yesterday’s high (up gap) and yesterday’s candle was bullish. Place a sell stop at yesterday’s high − Filter (ticks). Longs are only taken on down-gap days; shorts only on up-gap days. Protective Stop If long, stop loss trails the current day’s low. If short, stop loss trails the current day’s high. Exit Logic Positions are force-closed at the end of the session (in the last bar), ensuring no overnight exposure. There is no take-profit; only stop loss or end-of-day flat. Notes This strategy is designed for intraday charts (minutes/seconds) using daily data for gaps and prior-day direction. Longs/shorts can be enabled or disabled independently.
กลยุทธ์ Pine Script®
โดย xtradernet
3-1-2 Strat Combo by NaturalBelleThe 3-1-2 Strat Combo by NaturalBelle automatically detects and highlights one of The Strat’s most powerful reversal patterns — the 3-1-2 setup. When a 3 (outside bar) is followed by a 1 (inside bar) and then a 2 that breaks direction, this script plots yellow triangles and draws yellow box zones across the sequence, giving traders a clean visual cue for potential reversals or continuations. Features: Highlights both bullish (3-1-2-Up) and bearish (3-1-2-Down) sequences Draws yellow boxes covering the 3-1-2 structure for easy zone recognition Optional text labels for clarity Adjustable box extension and transparency Built-in alert conditions for both up and down setups This clean, no-clutter version focuses purely on price action — no indicators, no noise. Just the pattern. 🟡 Best used on: Any timeframe 🟡 Strategy: Combine with market structure, EMAs, or supply & demand zones for confirmation Created by NaturalBelle — keeping Strat analysis simple, visual, and precise.
อินดิเคเตอร์ Pine Script®
โดย NaturalBelle
2
Cycle VTLs – with Scaled Channels "Cycle VTLs – with Scaled Channels" for TradingView plots Valid Trend Lines (VTLs) based on Hurst's Cyclic Theory, connecting consecutive price peaks (downward VTLs) or troughs (upward VTLs) for specific cycles. It uses up to eight Simple Moving Averages (SMAs) (default lengths: 25, 50, 100, 200, 400, 800, 1600, 1600 bars) with customizable envelope bands to detect pivots and draw VTLs, enhanced by optional parallel channels scaled to envelope widths. Key Features: Valid Trend Lines (VTLs): Upward VTLs: Connect consecutive cycle troughs, sloping upward. Downward VTLs: Connect consecutive cycle peaks, sloping downward. Hurst’s Rules: Connects consecutive cycle peaks/troughs. Must not cross price between points. Downward VTLs: No longer-cycle trough between peaks. Invalid if slope is incorrect (upward VTL not up, downward VTL not down). Expired VTLs: Historical VTLs (crossed by price) from up to three prior cycle waves. SMA Cycles: Eight customizable SMAs with envelope bands (offset × multiplier) for pivot detection. Channels: Optional parallel lines around VTLs, width set by channelFactor × envelope half-width. Pivot Detection: Fractal-based (pivotPeriod) on envelopes or price (usePriceFallback). Customization: Toggle cycles, VTLs, and channels. Adjust SMA lengths, offsets, colors, line styles, and widths. Enable centered envelopes, slope filtering, and limit stored lines (maxStoredLines). Usage in Hurst’s Cyclic TheoryAnalysis: VTLs identify cycle trends; upward VTLs suggest bullish momentum, downward VTLs bearish. Price crossing below an upward VTL confirms a peak in the next longer cycle; crossing above a downward VTL confirms a trough. Trading: Buy: Price bounces off upward VTL or breaks above downward VTL. Sell: Price rejects downward VTL or breaks below upward VTL. Use channels for support/resistance, breakouts, or stop-loss/take-profit levels. Workflow: Add indicator on TradingView. Enable desired cycles (e.g., 50-bar, 1600-bar), adjust pivotPeriod, channelFactor, and showOnlyCorrectSlope. Monitor VTL crossings and channels for trade signals. NotesOptimized for performance with line limits. Ideal for cycle-based trend analysis across markets (stocks, forex, crypto). Debug labels show pivot counts and VTL status. This indicator supports Hurst’s Cyclic Theory for trend identification and trading decisions with flexible, cycle-based VTLs and channels. Use global variable to scale to chart. best results use factors of 2 and double. try 2, 4, 8, 16...128, 256, etc until price action fits 95% in smallest cycle.
อินดิเคเตอร์ Pine Script®
โดย surfchaser