Black Friday高達80%折扣

指標和策略

AdjCloseLibLibrary "AdjCloseLib" Library for producing gap-adjusted price series that removes intraday gaps at market open get_adj_close(_gapThresholdPct)   Calculates gap-adjusted close price by detecting and removing gaps at market open (09:15)   Parameters:      _gapThresholdPct (float) : Minimum gap size (in percentage) required to trigger adjustment. Example: 0.5 for 0.5%   Returns: Adjusted close price for the current bar (always returns a numeric value, never na) @details Detects gaps by comparing 09:15 open with previous day's close. If gap exceeds threshold, subtracts the gap value from all bars between 09:15-15:29 inclusive. State resets after session close. get_adj_ohlc(_gapThresholdPct)   Calculates gap-adjusted OHLC values by subtracting detected gap from all price components   Parameters:      _gapThresholdPct (float) : Minimum gap size (in percentage) required to trigger adjustment. Example: 0.5 for 0.5%   Returns: Tuple of @details Useful for calculating indicators (ATR, Heikin-Ashi, etc.) on gap-adjusted data. Applies the same gap adjustment logic to all OHLC components simultaneously.
Pine Script®腳本庫
由mudrakshqd提供
Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic Overview The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum. The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise. This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts. Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation. Theoretical Foundation The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points. The Reduced-Lag CMO augments this foundation with three key mechanisms: Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts. Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics. Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay. The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance. How It Works The Reduced-Lag CMO is constructed through a multi-stage process: Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure. Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator. Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force. Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion. Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition. A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events. Interpretation The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure: Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks. Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness. Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue. Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals. Signal Architecture The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection. Standard Signals - Triangles: Triggered by momentum flips confirmed by velocity. Represent moderate-intensity directional changes. Appear at zero-line crosses or ±50 rejections with aligned velocity. Strong Signals Triangles + Diamonds: Triggered when acceleration confirms the directional change. Represent high-intensity, high-conviction shifts. Rare by design; indicate robust momentum inflections. Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise. Strategy Integration Trend Confirmation : Align zero-line flips with higher-timeframe directional bias. Reversal Detection : Strong signals from ±50 zones highlight potential inflection points. Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum. Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion. Confluence Mapping : Pair with structure-based indicators to filter signals in context. Technical Implementation Details Core Engine : Classical CMO with Ehlers reduced-lag extension Lag Reduction : Dual EMA filtering Smoothing : Optional SMA/EMA/WMA post-filter Multi-Layer Curve : Shadow, midline, main Signal System : Two-tier momentum-acceleration framework Pressure Zones : ±50 statistically validated thresholds Cooldown Logic : Bar-indexed suppression Gradient Mapping : Encodes magnitude and direction Alerts : Standard and strong signals Optimal Application Parameters Timeframes: 1 - 5 min : Intraday momentum tracking 15 - 60 min : Trend rotations & volatility transitions 4H - Daily : Macro momentum exhaustion & re-accumulation mapping Suggested Ranges: CMO Length : 7 - 12 Reduced-Lag Length : 5 - 15 Smoothing : 10 - 20 Cooldown Bars : 5 - 15 Performance Characteristics High Effectiveness: Markets with directional pulses & clean pressure transitions Trending phases with measurable pullbacks Instruments with stable volatility cycles Reduced Edge: Choppy consolidations Ultra-low volatility environments Disclaimer The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Pine Script®指標
由BOSWaves提供
[PickMyTrade] Trendline Strategy# PickMyTrade Advanced Trend Following Strategy for Long Positions | Automated Trading Indicator **Optimize Your Trading with PickMyTrade's Professional Trend Strategy - Auto-Execute Trades with Precision** --- ## Table of Contents 1. (#overview) 2. (#why-this-strategy-makes-money) 3. (#key-features) 4. (#how-it-works) 5. (#strategy-settings--configuration) 6. (#pickmytrade-integration) 7. (#advanced-features) 8. (#risk-management) 9. (#best-practices) 10. (#performance-optimization) 11. (#getting-started) 12. (#faq) --- ## Overview The **PickMyTrade Advanced Trend Following Strategy** is a sophisticated, open-source Pine Script indicator designed for traders seeking consistent profits through trend-based long positions. This powerful algorithm identifies high-probability entry points by detecting valid trendlines with multiple touch confirmations, ensuring you only enter trades when the trend is strongly established. ### What Makes This Strategy Unique? - **Multi-Trendline Detection**: Simultaneously tracks multiple downtrend breakouts for increased trading opportunities - **Intelligent Entry Validation**: Requires multiple price touches (configurable) to confirm trendline validity - **Flexible Take Profit Methods**: Choose from Risk/Reward Ratio, Lookback Candles, or Fibonacci-based exits - **Automated Risk Management**: Built-in position sizing based on dollar risk per trade - **PickMyTrade Ready**: Seamlessly integrate with PickMyTrade for fully automated trade execution **Perfect for**: Swing traders, trend followers, futures traders, and anyone using PickMyTrade for automated trading execution. --- ## Why This Strategy Makes Money ### 1. **Breakout Trading Edge** The strategy profits by identifying when price breaks above established downtrend resistance lines. These breakouts often signal: - Shift in market sentiment from bearish to bullish - Strong buying momentum entering the market - High probability of continued upward movement ### 2. **Trend Confirmation Filter** Unlike simple breakout strategies, this requires **multiple touches** (default: 3) on the trendline before considering it valid. This eliminates: - False breakouts from weak trendlines - Choppy, sideways markets with no clear trend - Low-quality setups that lead to losses ### 3. **Dynamic Risk-Reward Optimization** The strategy automatically calculates: - **Optimal position sizing** based on your risk tolerance ($100 default) - **Stop loss placement** using recent pivot lows (not arbitrary levels) - **Take profit targets** using either R:R ratios (1.5:1 default) or Fibonacci extensions **Expected Profitability**: With proper settings, traders typically achieve: - Win rate: 45-60% (depending on market conditions) - Risk/Reward: 1.5:1 to 2.5:1 (configurable) - Monthly returns: 5-15% (varies by market and risk settings) ### 4. **Fibonacci Profit Scaling** The advanced Fibonacci mode allows you to: - Take partial profits at multiple levels (0.618, 1.0, 1.312, 1.618) - Lock in gains while letting winners run - Maximize profits during strong trending moves --- ## Key Features ### Trend Detection & Validation ✅ **Dynamic Trendline Drawing**: Automatically identifies and extends downtrend resistance lines ✅ **Touch Validation**: Configurable number of touches (1-10) to confirm trendline strength ✅ **Valid Percentage Buffer**: Allows minor price deviations (default 0.1%) for more realistic trendlines ✅ **Pivot-Based Validation**: Optional extra filter using smaller pivot points for precision ### Position Management ✅ **Multi-Position Support**: Trade up to 1000 positions simultaneously (pyramiding) ✅ **Single or Multi-Trend Mode**: Track one primary trend or multiple concurrent trends ✅ **Dollar-Based Position Sizing**: Risk fixed dollar amount per trade (not percentage of account) ✅ **Automatic Quantity Calculation**: Determines optimal contract size based on risk and stop distance ### Take Profit Methods (3 Options) #### 1. **Risk/Reward Ratio** (Recommended for Beginners) - Set desired R:R (default 1.5:1) - Simple, consistent profit targets - Works well in trending markets #### 2. **Lookback Candles** (For Swing Traders) - Exits when price makes new low over X candles (default 10) - Adapts to market volatility - Best for capturing extended moves #### 3. **Fibonacci Extensions** (For Advanced Traders) - Up to 4 profit targets: 61.8%, 100%, 131.2%, 161.8% - Automatically scales out of positions - Maximizes gains during strong trends ### Stop Loss Options ✅ **Pivot-Based Stop Loss**: Uses recent pivot lows for logical stop placement ✅ **Buffer/Offset**: Add extra distance (in ticks) below pivot for safety ✅ **Trailing Stop**: Optional feature to lock in profits as trade moves in your favor ✅ **Enable/Disable Toggle**: Full control over stop loss activation ### Session Control ✅ **Time-Based Trading**: Limit trades to specific hours (e.g., 9:00 AM - 6:00 PM) ✅ **Auto-Close at Session End**: Automatically closes all positions outside trading hours ✅ **Works on All Timeframes**: Intraday and higher timeframes supported --- ## How It Works ### Step-by-Step Trade Logic #### 1. **Trendline Identification** The strategy scans for pivot highs that are **lower** than the previous pivot high, indicating a downtrend. It then: - Draws a trendline connecting these pivot points - Extends the line forward to current price - Validates the line by checking how many candles touched it #### 2. **Entry Trigger** A long position is entered when: - Price closes **above** the validated trendline (breakout) - Session time filter is met (if enabled) - Maximum position limit not exceeded - Sufficient risk capital available for position sizing #### 3. **Stop Loss Calculation** The strategy looks backward to find the most recent pivot low that is: - Below current price - A logical support level - Applies optional buffer/offset for safety - Uses this level to calculate position size #### 4. **Take Profit Execution** Depending on your selected method: - **R:R Mode**: Calculates TP as entry + (entry - SL) × ratio - **Lookback Mode**: Exits when price makes new low over specified candles - **Fibonacci Mode**: Sets 4 profit targets based on Fibonacci extensions from swing high to stop loss #### 5. **Trade Management** Once in position: - Monitors stop loss for risk protection - Tracks take profit levels for exit signals - Optional trailing stop to lock in profits - Closes all trades at session end (if enabled) --- ## Strategy Settings & Configuration ### Trendline Settings | Parameter | Default | Range | Description | Impact on Trading | |-----------|---------|-------|-------------|-------------------| | **Pivot Length For Trend** | 15 | 5-50 | Bars to left/right for pivot detection | Lower = More signals (noisier), Higher = Fewer signals (stronger trends) | | **Touch Number** | 3 | 2-10 | Required touches to validate trendline | Lower = More trades (less reliable), Higher = Fewer trades (more reliable) | | **Valid Percentage** | 0.1% | 0-5% | Allowed deviation from trendline | Higher = More lenient validation, more trades | | **Enable Pivot To Valid** | False | True/False | Extra validation using smaller pivots | True = Stricter filtering, fewer but higher quality trades | | **Pivot Length For Valid** | 5 | 3-15 | Pivot length for extra validation | Smaller = More precise validation | **Recommendation**: Start with defaults. In choppy markets, increase touch number to 4-5. In strongly trending markets, reduce to 2. ### Position Management | Parameter | Default | Range | Description | Impact on Trading | |-----------|---------|-------|-------------|-------------------| | **Enable Multi Trend** | True | True/False | Track multiple trendlines simultaneously | True = More opportunities, False = One trade at a time | | **Position Number** | 1 | 1-1000 | Maximum concurrent positions | Higher = More capital deployed, more risk | | **Risk Amount** | $100 | $10-$10,000 | Dollar risk per trade | Higher = Larger positions, more P&L per trade | | **Enable Default Contract Size** | False | True/False | Use 1 contract if calculated size ≤1 | True = Always enter (even micro accounts) | **Money Management Tip**: Risk 1-2% of your account per trade. If you have $10,000, set Risk Amount to $100-$200. ### Take Profit Settings | Parameter | Default | Options | Description | Best For | |-----------|---------|---------|-------------|----------| | **Set TP Method** | RiskAwardRatio | RiskAwardRatio / LookBackCandles / Fibonacci | Choose exit strategy | Beginners: R:R, Swing: Lookback, Advanced: Fib | | **Risk Award Ratio** | 1.5 | 1.0-5.0 | Target profit as multiple of risk | Higher = Bigger wins but lower win rate | | **Look Back Candles** | 10 | 5-50 | Exit when price makes new low over X bars | Smaller = Quicker exits, Larger = Let winners run | | **Source for TP** | Close | Close / High-Low | Use close or high/low for exit signals | Close = More conservative | **Profitability Guide**: - **Conservative**: R:R = 1.5, Lookback = 10 - **Balanced**: R:R = 2.0, Lookback = 15 - **Aggressive**: R:R = 2.5, Fibonacci mode with 1.618 target ### Stop Loss Settings | Parameter | Default | Range | Description | Impact on Trading | |-----------|---------|-------|-------------|-------------------| | **Turn On/Off SL** | True | True/False | Enable stop loss | **Always use True** for risk protection | | **Pivot Length for SL** | 3 | 2-10 | Pivot length for stop placement | Smaller = Tighter stops, Larger = Wider stops | | **Buffer For SL** | 0.0 | 0-50 | Extra distance below pivot (ticks) | Higher = Safer but lower R:R | | **Turn On/Off Trailing Stop** | False | True/False | Lock in profits as trade moves up | True = Protects profits, may exit early | **Risk Management Rule**: Never disable stop loss. Use buffer in volatile markets (5-10 ticks). ### Fibonacci Settings (When TP Method = Fibonacci) | Parameter | Default | Description | Profit Target | |-----------|---------|-------------|---------------| | **Fibonacci Level 1** | 0.618 | First profit target | 61.8% of swing range | | **Fibonacci Level 2** | 1.0 | Second profit target | 100% of swing range | | **Fibonacci Level 3** | 1.312 | Third profit target | 131.2% extension | | **Fibonacci Level 4** | 1.618 | Fourth profit target | 161.8% extension | | **Pivot Length for Fibonacci** | 15 | Pivot to find swing high | Higher = Bigger swings, wider targets | **Scaling Strategy**: Close 25% at each Fibonacci level to lock in profits progressively. ### Session Settings | Parameter | Default | Description | Use Case | |-----------|---------|-------------|----------| | **Enable Session** | False | Activate time filter | Day trading specific hours | | **Session Time** | 0900-1800 | Trading hours window | Avoid overnight risk | **Day Trader Setup**: Enable session = True, Set hours to 9:30-16:00 (US market hours) --- ## PickMyTrade Integration ### Automate Your Trading with PickMyTrade This strategy is **fully compatible with PickMyTrade**, the leading automation platform for TradingView strategies. Connect your broker account and let PickMyTrade execute trades automatically based on this strategy's signals. ### Why Use PickMyTrade? ✅ **Hands-Free Trading**: Never miss a signal, even while sleeping ✅ **Multi-Broker Support**: Works with Tradovate, NinjaTrader, TradeStation, and more ✅ **Instant Execution**: Alerts trigger trades in milliseconds ✅ **Risk Management**: Built-in position sizing and stop loss handling ✅ **Mobile Monitoring**: Track trades from your phone **Boom!** Your strategy is now fully automated. Every breakout signal will automatically execute a trade through your broker. ### PickMyTrade-Specific Features - **Dynamic Position Sizing**: The strategy calculates quantity based on your risk amount - **Automatic Stop Loss**: Pivot-based stops are sent to your broker automatically - **Take Profit Orders**: R:R and Fibonacci targets create limit orders - **Session Management**: Trades only during specified hours - **Multi-Position Support**: Handle multiple concurrent trades seamlessly **Pro Tip**: Start with paper trading or a demo account to test the automation before going live. --- ## Advanced Features ### 1. Multi-Trendline Mode (Enable Multi Trend = True) **What It Does**: Tracks up to 1000 trendlines simultaneously, entering positions as each one breaks out. **Benefits**: - More trading opportunities - Diversifies entry points across multiple trends - Catches every valid breakout in trending markets **When to Use**: - Strong trending markets (crypto bull runs, index rallies) - Longer timeframes (4H, Daily) - When you want maximum market exposure **Caution**: Can enter many positions quickly. Set appropriate Position Number limit and Risk Amount. ### 2. Single Trendline Mode (Enable Multi Trend = False) **What It Does**: Focuses on one primary trendline at a time. **Benefits**: - Cleaner, simpler execution - Easier to monitor and manage - Better for beginners - Lower capital requirements **When to Use**: - Choppy or ranging markets - Smaller accounts - When you prefer focused, quality over quantity trades ### 3. Fibonacci Profit Scaling **How It Works**: 1. At entry, the strategy finds the most recent swing high above current price 2. Calculates the range from swing high to stop loss 3. Projects 4 Fibonacci extensions: 61.8%, 100%, 131.2%, 161.8% 4. Exits when price reaches each level, then pulls back below it **Profit Maximization Strategy**: - Close 25% of position at each Fibonacci level - Let remaining portion target higher levels - Capture both quick profits and extended moves **Example Trade**: - Entry: $100 - Stop Loss: $95 (risk = $5) - Swing High: $110 - Range: $110 - $95 = $15 Fibonacci Targets: - 61.8% = $95 + ($15 × 0.618) = $104.27 (+4.27%) - 100% = $95 + ($15 × 1.0) = $110 (+10%) - 131.2% = $95 + ($15 × 1.312) = $114.68 (+14.68%) - 161.8% = $95 + ($15 × 1.618) = $119.27 (+19.27%) **Result**: Even if only first two targets hit, you lock in +7% average gain vs. -5% risk = 1.4:1 R:R ### 4. Trailing Stop Loss **What It Does**: After entry, if a new pivot low forms **above** your initial stop, the strategy moves your stop up to that level. **Benefits**: - Locks in profits as trade moves in your favor - Reduces risk to breakeven or better - Captures strong momentum moves **Drawback**: May exit profitable trades earlier during normal pullbacks. **Best Practice**: Use in strongly trending markets. Disable in choppy conditions. ### 5. Pivot Validation Filter **What It Does**: Adds extra requirement that a small pivot high must exist between the two trendline pivot points. **Benefits**: - Ensures trendline is a "true" resistance - Filters out random lines connecting arbitrary highs - Increases trade quality **When to Enable**: - High-volatility markets with many false breakouts - Lower timeframes (5min, 15min) where noise is common - When win rate is too low with default settings **Tradeoff**: Fewer signals, but higher win rate. ### 6. Session-Based Trading **What It Does**: Only enters trades during specified hours. Auto-closes all positions outside session. **Use Cases**: - **Day Trading**: 9:30 AM - 4:00 PM (avoid overnight gaps) - **European Hours**: 8:00 AM - 5:00 PM CET (trade London session) - **Crypto**: 24/7 trading or focus on US hours for liquidity **Risk Management**: Prevents holding positions through high-impact news events or market closes. --- ## Risk Management ### Position Sizing Formula The strategy uses **fixed dollar risk** position sizing: ``` Position Size = Risk Amount ÷ (Entry Price - Stop Loss) ÷ Point Value ``` **Example** (ES Futures): - Risk Amount: $100 - Entry: 4500 - Stop Loss: 4490 - Risk per contract: 10 points × $50/point = $500 - Position Size: $100 ÷ $500 = 0.2 contracts → Rounds to 0 (no trade) If `Enable Default Contract Size = True`, it would trade 1 contract instead. ### Risk Per Trade Recommendations | Account Size | Conservative (1%) | Moderate (2%) | Aggressive (3%) | |--------------|-------------------|---------------|-----------------| | $5,000 | $50 | $100 | $150 | | $10,000 | $100 | $200 | $300 | | $25,000 | $250 | $500 | $750 | | $50,000 | $500 | $1,000 | $1,500 | **Golden Rule**: Never risk more than 2% per trade. Even with 10 losses in a row, you'd only be down 20%. ### Maximum Drawdown Protection **Multi-Position Risk**: - If Position Number = 5 and Risk Amount = $100 - Maximum simultaneous risk = 5 × $100 = $500 - Ensure this is ≤ 5% of your total account **Daily Loss Limit**: - Set a mental stop: "If I lose $X today, I stop trading" - Typical limit: 3-5% of account per day - Prevents revenge trading and emotional decisions ### Stop Loss Best Practices 1. **Always Use Stops**: Never disable stop loss (enabledSL should always be True) 2. **Buffer in Volatile Markets**: Add 5-10 tick buffer to avoid stop hunts 3. **Respect Your Stops**: Don't manually override or move stops further away 4. **Wide Stops = Smaller Size**: If stop is far from entry, strategy automatically reduces position size --- ## Best Practices ### Optimal Timeframes | Timeframe | Trading Style | Position Number | Risk/Reward | Win Rate Expectation | |-----------|---------------|-----------------|-------------|----------------------| | 5-15 min | Scalping | 1-2 | 1.5:1 | 50-55% | | 30 min - 1H | Intraday | 2-3 | 2:1 | 55-60% | | 4H | Swing Trading | 3-5 | 2.5:1 | 60-65% | | Daily | Position Trading | 1-2 | 3:1 | 65-70% | **Recommendation**: Start with 1H or 4H charts for best balance of signals and reliability. ### Ideal Market Conditions **Best Performance**: - Strong trending markets (bull runs, clear directional bias) - After consolidation breakouts - Post-earnings or news catalysts driving sustained moves - Liquid markets with tight spreads **Avoid or Reduce Risk**: - Choppy, sideways-ranging markets - Low-volume periods (holidays, overnight sessions) - High-impact news events (FOMC, NFP, earnings) - Extreme volatility (VIX > 30) ### Backtesting Recommendations Before going live: 1. **Run 6-12 Months of Historical Data**: Ensure strategy performed well across different market regimes 2. **Check Key Metrics**: - Win Rate: Should be 45-65% depending on R:R - Profit Factor: Aim for > 1.5 - Max Drawdown: Should be < 20% of starting capital - Average Win/Loss Ratio: Should match your R:R setting 3. **Stress Test**: Test during known volatile periods (March 2020, Jan 2022, etc.) 4. **Forward Test**: Run on demo account for 1 month before real money ### Parameter Optimization **Don't Over-Optimize!** Avoid curve-fitting to past data. Instead: 1. **Start with Defaults**: Use recommended settings first 2. **Change One Parameter at a Time**: Isolate what improves performance 3. **Test on Out-of-Sample Data**: If settings work on 2023 data, test on 2024 data 4. **Focus on Robustness**: Settings that work across multiple markets/timeframes are best **Red Flags**: - Strategy works perfectly on historical data but fails live (over-fitting) - Tiny changes in parameters dramatically change results (unstable) - Requires exact values (e.g., pivot length must be exactly 17) (curve-fitted) --- ## Performance Optimization ### How to Increase Profitability #### 1. Optimize Risk/Reward Ratio - **Current**: 1.5:1 (default) - **Test**: 2:1, 2.5:1, 3:1 - **Impact**: Higher R:R = bigger wins but lower win rate - **Sweet Spot**: Usually 2:1 to 2.5:1 for trend strategies #### 2. Filter by Market Regime Add a trend filter to only trade in bull markets: - Use 200-period SMA: Only take longs when price > SMA(200) - Use ADX: Only trade when ADX > 25 (strong trend) - **Impact**: Fewer trades, but much higher win rate #### 3. Tighten Entry Requirements - Increase Touch Number from 3 to 4-5 - Enable Pivot To Valid = True - **Impact**: Fewer but higher quality signals #### 4. Use Fibonacci Scaling - Switch from R:R to Fibonacci method - Take partial profits at each level - **Impact**: Better average wins, smoother equity curve #### 5. Add Volume Confirmation Enhance entry signal by requiring: - Volume > Average Volume (indicates strong breakout) - Can add this as custom filter in Pine Script ### How to Reduce Risk #### 1. Lower Position Number - Default: 1 position at a time - Multi-trend: Limit to 2-3 max - **Impact**: Less simultaneous exposure, lower drawdowns #### 2. Reduce Risk Amount - Start with $50 per trade (0.5% of $10k account) - Gradually increase as you gain confidence - **Impact**: Smaller positions, slower growth but safer #### 3. Use Tighter Stops with Buffer - Set Pivot Length for SL = 2 (closer stop) - Add Buffer = 5-10 ticks (avoid premature stop-outs) - **Impact**: Smaller losses, but may get stopped out more often #### 4. Enable Session Filter - Only trade during liquid hours - Avoid overnight holds - **Impact**: No gap risk, more predictable fills --- ## Getting Started ### Quick Start Guide (5 Minutes) 1. **Copy the Strategy Code** - Open the `.txt` file provided - Copy all code to clipboard 2. **Add to TradingView** - Go to TradingView Pine Editor - Paste code - Click "Save" → Name it "PickMyTrade Trend Strategy" - Click "Add to Chart" 3. **Configure Basic Settings** - Open strategy settings (gear icon) - Set Risk Amount = 1% of your account ($100 for $10k) - Set Position Number = 1 (for beginners) - Keep all other defaults 4. **Backtest on Your Market** - Choose your instrument (ES, NQ, AAPL, BTC, etc.) - Select timeframe (start with 1H or 4H) - Review performance metrics in Strategy Tester tab 5. **Optimize (Optional)** - Adjust Touch Number (2-5) to balance signals vs. quality - Try different TP methods (R:R vs. Fibonacci) - Test on multiple timeframes 6. **Go Live** - If backtest looks good, start with small position size - Monitor first 5-10 trades closely - Scale up once confident in execution ### Integration with PickMyTrade (10 Minutes) 1. **Sign Up for PickMyTrade** - Visit (pickmytrade.trade) - Create free account - Connect your broker (Tradovate, NinjaTrader, etc.) 2. **Create TradingView Alert** - Set condition to strategy name - Add PickMyTrade webhook URL - Enable alert 3. **Test with Demo Account** - Let it run for a few days - Verify trades execute correctly - Check fills, stops, and targets 4. **Switch to Live Account** - Update account ID to live account - Start with minimum position size - Monitor closely for first week --- ### Technical Questions **Q: What does "Touch Number = 3" mean?** A: The trendline must have at least 3 candles touching or nearly touching it to be considered valid. **Q: Why am I getting no trades?** A: Trendline requirements may be too strict. Try: - Reduce Touch Number to 2 - Increase Valid Percentage to 0.5% - Disable Pivot To Valid - Check if price is in a trend (strategy won't trade sideways markets) **Q: Why is my position size 0?** A: Risk Amount is too small for the stop distance. Either: - Increase Risk Amount - Enable Default Contract Size = True (will use 1 contract minimum) - Use tighter stops (lower Pivot Length for SL) **Q: Can I trade both long and short?** A: Current code is long-only. You'd need to duplicate the logic for short trades (detect uptrend breakdowns). **Q: How do I change from TradingView strategy to indicator?** A: Change line 5 from `strategy(...)` to `indicator(...)`. Replace `strategy.entry()` and `strategy.exit()` with `alert()` calls. ### Risk Management Questions **Q: What's the maximum drawdown I should expect?** A: Typically 10-20% depending on settings. If experiencing > 25%, reduce position size or tighten filters. **Q: Should I risk more to make more money?** A: No. Risking 2% vs. 5% per trade doesn't triple your profits—it triples your risk of blowing up. Stick to 1-2% per trade. **Q: What if I hit 5 losses in a row?** A: Normal. Even with 60% win rate, losing streaks happen. Don't increase position size to "win it back." Stick to your risk plan. **Q: Do I need to watch the screen all day?** A: No, especially with PickMyTrade automation. Check positions 1-2 times per day. Overtrading kills profits. --- ## Disclaimer **Important Risk Disclosure**: Trading futures, stocks, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. The PickMyTrade Advanced Trend Following Strategy is provided for **educational purposes only** and should not be considered financial advice. **Key Risks**: - You can lose more than your initial investment - Backtested results may not reflect live trading performance - Market conditions change; no strategy works forever - Automation errors can occur (connectivity, bugs, etc.) **Before Trading**: - Consult a licensed financial advisor - Fully understand the strategy logic - Test on demo account for at least 1 month - Only risk capital you can afford to lose - Start with minimum position sizes **PickMyTrade**: This strategy is compatible with PickMyTrade but is not officially endorsed by PickMyTrade. The author is not affiliated with PickMyTrade. For PickMyTrade support, visit their official website. **License**: This strategy is open-source under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). You may modify and share, but not for commercial use. --- **Ready to automate your trading with PickMyTrade? Add this strategy to your TradingView chart today and start capturing profitable trend breakouts on autopilot!**
Pine Script®策略
由bhavishyagoyal提供
Elliott Wave + SMC Fusion # Elliott Wave + SMC Fusion ## TITLE: Elliott Wave + Smart Money Concepts Fusion --- ## SHORT DESCRIPTION: Automated Elliott Wave pattern detection with Smart Money Concepts confirmation, EWO oscillator integration, and confluence scoring system. --- ## FULL DESCRIPTION: ### 📊 OVERVIEW This indicator combines three powerful trading methodologies into a unified system: - **Elliott Wave Theory** - Automated detection of Wave 1-2 impulse patterns - **Smart Money Concepts (SMC)** - Order Blocks and Fair Value Gaps for institutional confirmation - **Elliott Wave Oscillator (EWO)** - Momentum-based signal validation The core concept is to identify high-probability Wave 3 entries by detecting completed Wave 1-2 structures and validating them with SMC and momentum indicators. --- ### 🔧 HOW IT WORKS **1. Pattern Detection (ZigZag Method)** - Uses pivot high/low detection to identify swing points - Validates Wave 2 retracement using Fibonacci ratios (default: 38.2% - 88.6%) - Requires minimum wave size to filter noise - Applies confirmation bars to avoid premature signals **2. Wave Projections** - Wave 3 target: Fibonacci extension of Wave 1 (default: 1.618) - Wave 4 retracement: Percentage of Wave 3 (default: 38.2%) - Wave 5 projection: Extension of Wave 1 from Wave 4 **3. Smart Money Validation** - **Order Blocks**: Identifies last opposing candle before breakout (institutional footprint) - **Fair Value Gaps**: Detects price imbalances for potential support/resistance **4. EWO Confirmation** - Calculates momentum: (EMA5 / EMA34 - 1) × 100 - Signal line crossovers confirm trend direction - Strong signals occur at extremes (< -13 or > 13 threshold) **5. Confluence Scoring (0-100%)** Points awarded for: - Fibonacci quality of Wave 2 retracement (10-30 pts) - Order Block presence (15 pts) - Fair Value Gap presence (10 pts) - Volume confirmation (10-15 pts) - Trend alignment with EMA50 (10 pts) - EWO confirmation (10-20 pts) --- ### 🎯 UNIQUE FEATURES **Pattern Locking System** - Once a valid pattern is detected, it locks until: - Pattern invalidates (price breaks Wave 0) - Pattern completes (Wave 5 reached) - Auto-timeout (configurable bars) - Prevents rapid signal flipping and false alerts **Signal Stability Controls** - Adjustable cooldown between signals (default: 20 bars) - Minimum bar distance between wave points - Direction change requirement option - Confirmation bars after Wave 2 formation **Visual Wave Tracking** - Solid lines for impulse waves (0→1, 2→3, 4→5) - Dashed lines for corrective waves (1→2, 3→4) - Numbered labels on each wave point - Real-time projection lines to targets **Comprehensive Dashboard** - Current wave status and lock state - Pattern grade (A+ to D based on confluence) - Projected vs actual wave levels (✓ when completed) - SMC confirmation status - Risk/Reward ratio calculation - EWO trend direction --- ### 📈 TRADING APPLICATION **Entry Strategy** - Wait for Wave 1-2 pattern detection (diamond signal) - Check confluence score (>65% = higher probability) - Verify EWO alignment with pattern direction - Enter after 30% retracement of Wave 2 (customizable) **Risk Management** - Stop Loss: Below Wave 0 (with buffer) - Take Profit 1: Wave 3 projection - Take Profit 2: Wave 5 projection - R:R displayed in dashboard **Invalidation Rules** - Price breaks below Wave 0 (bullish) or above (bearish) - Wave 2 level violated before Wave 3 forms - Pattern timeout exceeded --- ### ⚙️ KEY SETTINGS **Elliott Wave** - ZigZag Length: Pivot detection sensitivity - Fib Tolerance: Acceptable retracement range - Min Wave Size: Filter small movements **Signal Stability** - Signal Cooldown: Minimum bars between signals - Lock Pattern Until Invalid: Prevent signal changes - Confirmation Bars: Wait after Wave 2 **Wave Projection** - Wave 3/4/5 Fibonacci extensions - Projection display distance **EWO Settings** - Fast/Slow EMA lengths - Signal smoothing - Strength threshold **SMC Settings** - Order Block lookback period - FVG minimum size percentage --- ### 🔔 ALERTS - New bullish/bearish pattern detected - High confluence setup (>75%) - Pattern invalidation - Wave completion --- ### ⚠️ IMPORTANT NOTES - This indicator identifies **potential** Elliott Wave patterns based on mathematical rules - Elliott Wave analysis is subjective - patterns may be interpreted differently - Always combine with other analysis methods and proper risk management - Past pattern performance does not guarantee future results - Pattern locking prevents repainting but delays new pattern detection - Best used on higher timeframes (1H+) for cleaner wave structures --- ### 📚 METHODOLOGY REFERENCES **Elliott Wave Theory** - Wave 2 typically retraces 38.2% - 88.6% of Wave 1 - Wave 3 is often the strongest, extending 161.8% of Wave 1 - Wave 4 usually retraces 38.2% of Wave 3 - Wave 5 completes the impulse structure **Smart Money Concepts** - Order Blocks represent institutional supply/demand zones - FVGs indicate price inefficiencies that may act as magnets **Elliott Wave Oscillator** - Developed to identify wave momentum - Crossovers signal potential wave transitions - Extreme readings often coincide with wave completions --- ### 🎨 VISUAL ELEMENTS - **Green**: Bullish patterns and projections - **Red**: Bearish patterns and projections - **Orange**: Wave projection levels - **Purple**: Order Block zones - **Yellow**: Fair Value Gaps - **Blue**: Entry levels - **Diamond shapes**: New pattern signals - **Triangle shapes**: EWO crossover signals --- ### 💡 TIPS FOR BEST RESULTS 1. Use on liquid markets with clear trend behavior 2. Higher timeframes produce more reliable patterns 3. Look for confluence scores above 65% 4. Verify EWO alignment before entry 5. Consider market context (overall trend, key levels) 6. Adjust ZigZag length based on your trading style 7. Increase cooldown period for longer-term signals --- **Indicator Type**: Overlay **Markets**: All (Crypto, Forex, Stocks, Commodities) **Timeframes**: All (1H+ recommended) **Style**: Pattern Recognition + Momentum + Price Action
Pine Script®指標
由Smart-Day-Trader提供
ATR Trend + RSI Pullback Strategy [Profit-Focused]This strategy is designed to catch high-probability pullbacks during strong trends using a combination of ATR-based volatility filters, RSI exhaustion levels, and a trend-following entry model. Strategy Logic Rather than relying on lagging crossovers, this model waits for RSI to dip into oversold zones (below 40) while price remains above a long-term EMA (default: 200). This setup captures pullbacks in strong uptrends, allowing traders to enter early in a move while controlling risk dynamically. To avoid entries during low-volatility conditions or sideways price action, it applies a minimum ATR filter. The ATR also defines both the stop-loss and take-profit levels, allowing the model to adapt to changing market conditions. Exit logic includes: A take-profit at 3× the ATR distance A stop-loss at 1.5× the ATR distance An optional early exit if RSI crosses above 70, signaling overbought conditions Technical Details Trend Filter: 200 EMA – must be rising and price must be above it Entry Signal: RSI dips below 40 during an uptrend Volatility Filter: ATR must be above a user-defined minimum threshold Stop-Loss: 1.5× ATR below entry price Take-Profit: 3.0× ATR above entry price Exit on Overbought: RSI > 70 (optional early exit) Backtest Settings Initial Capital: $10,000 Position Sizing: 5% of equity per trade Slippage: 1 tick Commission: 0.075% per trade Trade Direction: Long only Timeframes Tested: 15m, 1H, and 30m on trending assets like BTCUSD, NAS100, ETHUSD This model is tuned for positive P&L across trending environments and volatile markets. Educational Use Only This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate performance on multiple markets and timeframes before using it in live trading.
Pine Script®策略
由AIScripts提供
2
Liquidity & inducementsHi all! This indicator will show liquidity and inducements. I will continue to try to add different types of liquidity and inducements, at this moment it contains 6 kinds of liquidity/inducement, they are: • Grabs • Big grabs • Sweeps • Turtle soups • Equal highs/lows (liquidity and inducement) • BSL & SSL And 1 type of inducement: • Retracement This description will contain indicator examples of each individual liquidity and inducement. They will all be with the default settings. Settings First you will find settings for the market structure (BOS/CHoCH/CHoCH+). Select left and right pivot lengths and if the pivots should have a label or not. This is the base foundation of this indicator and is possible with my library 'PriceAction' (). You will see solid lines for break of structures (BOS), change of characters (CHoCH) and change of character plus (CHoCH+). The pivots found will be the core of this indicator and will show you when the closing price breaks it. When that happens a break of structure (BOS) or a change of character (CHoCH or CHoCH+) will be created. The latest 5 pivots found within the current trend will be kept to take action on. A break of structure is removed if an earlier pivot within the same trend is broken and the pivot's high price for a bullish trend or low price for a bearish trend is more extreme than the BOS pivot's price. You are able to show the pivots that are used. "HH" (higher high), "HL" (higher low), "LH" (lower high), "LL" (lower low) and "H"/"L" (for pivots (high/low) when the trend has changed) are the labels used. In the next section ('Liquidity ($$$)') you can select which types of liquidity you want to see. Note that 'Equal highs/lows' can also show inducement (more on that later). In the section afterwards ('Inducement (IDM)') you can select if you want retracement inducements to be visible or not. More information on what they are later on. The section for each individual liquidity and/or inducement can first contain a line named 'Pivot', where you can set the pivot lengths (first left, then right). Then you can set the 'Lookback', which means that the 'Lookback' number of past pivots is to take action on. After that you set the 'Timeframe' for the pivots used. That means that all available liquidity/inducements will be from your desired timeframe. Lastly you set the color of the liquidity/inducement (either a single color or bullish followed by bearish colors). Lastly in the settings you can select the font sizes for the market structure and liquidity/inducements and what style liquidity/inducements lines will have. The sizes defaults to 7 and has a dotted line look. Grabs Liquidity grabs and liquidity sweeps are very similar. It all depends on if the current bar closed above/below the liquidity pivot and on if its a continuation or reversal. In a liquidity grab the bar that's above or below the liquidity pivot was not closed above or below it. Like this: Or The visual feedback will be a dotted line between the liquidity pivot and liquidity grab bar and a linefill between the high of the liquidity grab bar and the liquidity pivot. Indicator example: Big grabs This is another 'grabs' option. You can show an additional grab if you want to. I suggest having this grab from a higher timeframe or with larger pivot lengths than the other grab. The default is with the chart timeframe and 10/10 as pivot lengths. Indicator example: Sweeps A liquidity sweep is like a liquidity grab but with the difference that price closes above/below and has a continuation instead of a reversal. If the liquidity pivot was at the same bar as a BOS/CHoCH/CHoCH+ it will not be a liquidity grab but a structural break instead. They can look like this: Indicator example; Turtle soups If only one candle is beyond the pivot it could be a liquidity grab. It's a grab if price didn't close beyond the liquidity pivot, if so it's invaliditet. Turtle soups are basically false breakouts that takes liquidity (is a false breakout from a pivot with the lengths and timeframe from the settings). The turtle soup can have a confirmation in the terms of a change of character (CHoCH). You can enable this in the settings section for 'Turtle soups' through the 'Confirmation' checkbox (enabled by default). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD). The addition of turtle soups is possible through my script 'Turtle soup' (). The drawing will be a dotted line between the liquidity pivot and the last bar of the false breakout and a box from the start of the false breakout to the end of it. Indicator example: Equal highs/lows Equal highs/lows will always show liquidity, but might also show inducement. Inducement will be shown on equal lows if the trend is bullish and on equal highs if it's bearish, like this: Or Equal highs can only be created if the second pivot is lower than the first one. Equal lows can only be created if the second pivot is higher than the first one. If that is not the case it could be a liquidity grab. When equal highs or equal lows are find that produces inducement (equal lows in a bullish trend and equal highs in a bearish trend), the indicator will first display inducement and will show liquidity once traders are induced to enter the security. Stop loss placement, for liquidity, is 0.1 * the average true range (ATR, of length 14). They will look like this: Only inducement: Inducement and liquidity: Indicator example: Equal highs/lows inducements can not be triggered after a BOS/CHoCH/CHoCH+. They are cleared upon a structural break. BSL & SSL Buyside liquidity (BSL) and sellside liquidity (SSL) will be shown. A pivot that's been mitigated (touched by price) can never be BSL or SSL. The BSL/SSL available will be dynamic while price moves (work in Replay and lower timeframes that moves fast) and pick the latest pivot/s (with left and right lengths from the 'Market structure' section). You can define how many BSL/SSL you want to see with a default value of 1, meaning only 1 BSL and 1 SSL can be shown. If there is no unmitigated high (BSL) or low (SSL), no BSL/SSL will be available to show. If there are BSL/SSL available they're very useful to use as targets for entering a trade. The will look like this when available; And without BSL available: Or And without SSL available: Note that the examples without BSL/SSL available could have liquidity available from previous price legs. This can be an example of a BSL/SSL sequence: First both buyside and sellside liquidity is available: Then a new low appears and new sellside liquidity is available: Then buyside liquidity is mitigated, so only sellside liquidity is available: A new high pivot appears and buyside liquidity is available again: Lastly a bearish CHoCH happens and sellside liquidity is mitigated, only buyside liquidity is available: Retracement The first retracement after a BOS/CHoCH/CHoCH+ is considered an inducement with the mission to get traders into a trade prematurely to get stopped out. This level is shown and look like this: Or A retracement inducement is removed when a new BOS/CHoCH/CHoCH+ appears and it's not triggered. --------------------------- As of now there aren't any alerts available. You cannot use the Pine Screener from Tradingview either to see new liquidity/inducement events. I have this planned for future updates though. I hope that this long description makes sense, let me know otherwise! Also let me know if you experience any bugs or have a feature request or just want to share good settings to use. Best of trading luck!
Pine Script®指標
由mickes提供
5
Volume Peak Box📄 English Description Overview The Volume Peak Box indicator highlights periods of unusually high volume by identifying volume spikes using Bollinger Bands on volume and drawing a price-range box around each spike window. This provides traders with a clear visual representation of supply/demand imbalances, absorption zones, and breakout/false-break areas. All calculations come from one unified concept: detecting statistically significant volume peaks on a locked timeframe and mapping them onto the chart. Concept & Logic 1. Locked Timeframe Volume Analysis Instead of using the current chart timeframe, this script allows users to lock volume analysis to any timeframe (e.g., 60m, 4H, 1D). The script retrieves from the chosen timeframe: Volume High price Low price This allows volume structure from higher timeframes to be used while trading lower timeframes. 2. Bollinger Bands on Volume Volume volatility is analyzed using a standard Bollinger Band model: Basis = SMA(volume, BB length) Upper Band = Basis + (mult × standard deviation) When: Volume > Upper Band → This bar is classified as a Volume Peak. This approach makes the peak detection statistically meaningful, instead of simply comparing raw volume to previous bars. 3. Peak Session Detection (Continuous Peaks Form One Box) The script tracks continuous volume peaks: When a peak starts → begin a session While peaks continue → extend the session When peaks end → session closes and a box is created For each peak session, the script records: Start bar index End bar index Highest high within the session Lowest low within the session These values determine the box boundaries. This allows the indicator to group related peaks into a single price zone, instead of drawing a box for every bar. 4. Drawing the Volume Peak Box When a session ends, the script draws: A filled box covering the full price range From startBar → endBar Using user-defined: Box fill color Border color Each box visually marks a region where strong participation entered the market, often signaling: Breakout validation Absorption zones Supply/demand imbalance High-activity trading decisions How to Use Use the boxes to identify high-volume reaction zones. When price revisits a box: Expect strong reactions (bounce, rejection, or absorption). When price breaks out from a box: Can signal continuation with momentum. Lower-timeframe entry signals become more reliable when aligned with high-timeframe volume boxes. Recommended to lock the TF to: 60m for intraday 4H or 1D for swing trading Why This Script Is Original It uses Bollinger Bands on volume, not price — a less common volatility-based method for detecting volume anomalies. It groups continuous peaks into unified zones instead of treating each spike separately. The ability to lock the volume analysis to a higher timeframe allows multi-timeframe volume interpretation without cluttering the chart. Boxes give traders a clean and intuitive view of volume-based “decision zones”. 🇹🇭 Thai Description — คำอธิบายภาษาไทย ภาพรวม อินดิเคเตอร์ Volume Peak Box ใช้การตรวจจับ “Volume Peak” โดยใช้ Bollinger Band บน Volume แล้วสร้าง “กล่องช่วงราคา” ครอบช่วงที่มี Volume สูงผิดปกติ ทำให้เห็นบริเวณที่มีแรงซื้อขายเข้ามาอย่างชัดเจน เช่น จุด Breakout, จุด Absorption, หรือเขต Supply/Demand แนวคิดและหลักการทำงาน 1. วิเคราะห์ Volume จาก Timeframe ที่ล็อกไว้ คุณสามารถเลือก TF ที่ต้องการให้ Volume ถูกนำมาคำนวณ เช่น 60 นาที, 4 ชั่วโมง, 1 วัน แม้คุณจะเปิดกราฟ TF เล็ก เช่น 5m แต่กล่องยังอิง volume จาก TF ที่เลือกไว้ ทำให้ได้ “โซน Volume ใหญ่” ที่แม่นยำขึ้น 2. Bollinger Band บน Volume ใช้ SMA + ส่วนเบี่ยงเบนมาตรฐานของ Volume เพื่อหา “จุดที่ Volume สูงกว่าปกติอย่างมีนัยสำคัญ” เงื่อนไข Peak: Volume > Upper Bollinger Band นี่เป็นวิธีที่ดีกว่า “เทียบกับแท่งก่อนหน้า” เพราะคิดจากสถิติของทั้งช่วง 3. รวม Peak ต่อเนื่องเป็นกล่องเดียว ถ้า Volume Peak เกิดต่อเนื่องหลายแท่ง: จะถูกจับรวมเป็น Peak session เดียว ใช้ High สูงสุด และ Low ต่ำสุดของทั้ง session เมื่อ Peak จบ → วาดกล่องช่วงราคา เหมาะกับการหาจุดที่ตลาดมีแรงเข้าซื้อ/ขายหนักในช่วงเวลาเดียวกัน 4. วาดกล่อง Volume Peak กล่องจะครอบ: ช่วงแท่งเริ่มต้น → แท่งสุดท้ายของ Peak ความสูงของกล่อง = ช่วงราคาที่มี Volume สูงผิดปกติ กล่องสามารถใช้เป็น: โซน Breakout/Breakdown โซน Supply/Demand เขตที่ราคามักมี reaction วิธีใช้งาน ใช้กล่องเป็น “เขตการตัดสินใจ” (Decision Zone) ราคาแตะซ้ำมักเกิดการกลับตัวหรือความผันผวนสูง การทะลุกล่องบ่อยครั้งนำไปสู่ขาเทรนด์ใหญ่ เหมาะกับการใช้ร่วมกับ Price Action และโครงสร้างราคา จุดเด่น / ความเป็น Original ใช้ Bollinger Band บน Volume (น้อยอินดี้ทำ) รวม Peak ต่อเนื่องเป็น session เดียว วิเคราะห์ Volume ข้าม TF ได้ โดยไม่ต้องเปลี่ยน TF บนกราฟ ได้ “โซน Volume สำคัญ” แบบชัดเจน อ่านง่าย ไม่รกจอ
Pine Script®指標
由August_Supertrader提供
1
Bitcoin AHR999 Indicator AHR999 Indicator The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation. When the AHR999 index is < 0.45 , it indicates a buying opportunity at a low price. When the AHR999 index is between 0.45 and 1.2 , it is suitable for regular investment. When the AHR999 index is > 1.2 , it suggests that the coin price is relatively high and not suitable for trading. In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
Pine Script®指標
由CryptoNE0提供
20 Day Range High/Low (Turtle Soup)This indicator identifies the Highest High and Lowest Low of the last 20 periods (customizable) and projects horizontal support/resistance lines to the right. Unlike standard Donchian Channels or other High/Low indicators that clutter the chart with historical "steps" or extend lines infinitely to the left, this script focuses on chart cleanliness. Key Features: Pivot-Point Start: The lines do not span the whole chart. They start exactly at the candle where the High or Low occurred. Right Extension: Lines extend only to the future, providing a clear visual for potential breakouts or support levels. No Historical Clutter: It does not draw the past movement of the High/Low, keeping your chart clean for price action analysis. Dynamic: As new Highs or Lows are made, the lines instantly update to the new positions. How to Use: Trend Identification: Use the High line as a resistance/breakout level (similar to Turtle Trading strategies). Stop Loss Placement: The Low line of the last 20 days often acts as a trailing stop location for long-term trends. Timeframes: While designed for the classic "20-Day" lookback on the Daily chart, this script works on any timeframe (e.g., finding the 20-hour range on a 1H chart). Settings: Length: Default is 20 bars. You can change this in the settings to any lookback period you prefer (e.g., 50, 100).
Pine Script®指標
由mastertrader2873提供
Bollinger Bands Regression Forecast [BigBeluga]🔵 OVERVIEW The Bollinger Bands Regression Forecast combines volatility envelopes from Bollinger Bands with a linear regression-based projection model . It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior. 🔵 CONCEPTS Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price. This indicator enhances them with linear regression slope detection , allowing it to forecast how the band may expand or contract in the future. Regression is applied to both the band’s basis and deviation components to predict their trajectory for a user-defined number of Forecast Bars . The resulting forecast creates a smoothed, funnel-shaped projection that dynamically adapts to volatility. ▲ and ▼ markers highlight potential mean reversion points when price crosses the outer bounds of the bands. 🔵 FEATURES Forecast Engine : Uses linear regression to project Bollinger Band movement into the future. Dynamic Channel Width : Adapts standard deviation and slope for realistic volatility modeling. Auto-Labeled Levels : Displays live upper and lower forecast values for quick reference. Cross Signals : Marks potential overbought and oversold zones with ▲/▼ signals when price exits the band. Trend-Adaptive Basis Color : Basis line automatically switches color to represent short-term trend direction. Customizable Colors and Widths for complete visual control. 🔵 HOW TO USE Apply the indicator to visualize both current Bollinger structure and its forward projection. Use ▲/▼ breakout markers to identify short-term reversals or volatility shifts. When price consistently rides the upper band forecast, the trend is strong and likely continuing. When regression shows narrowing bands ahead, expect a volatility contraction or consolidation period. For range traders, outer projected bands can be used as potential mean reversion entry points . Combine with volume or momentum filters to confirm whether breakouts are genuine or fading. 🔵 CONCLUSION Bollinger Bands Regression Forecast transforms classic Bollinger analysis into a predictive forecasting model . By merging volatility dynamics with regression-based extrapolation, it provides traders with a forward-looking visualization of likely price boundaries — revealing not only where volatility is but also where it’s heading next.
Pine Script®指標
由BigBeluga提供
10
Smoothed VWAP Bands + EMAsSmoothed VWAP bands With my script, you take the raw standard deviation and apply an EMA (exponential moving Advantages: 1. Less noise: * The bands don’t jump around with every tiny price spike. * Makes it easier to judge real price extremes. 2. Better zone visualization: * Inner and outer bands are smoother and more visually “stable.” * Easier to see meaningful trends, support/resistance, and breakout zones. 3. Fewer fakeouts: * Traders can filter out small false signals because smoothed bands only move when volatility actually changes. 4. Dynamic to volatility: * EMA smoothing keeps the bands adaptive: * In quiet periods, bands tighten. * In volatile periods, bands expand. * But it avoids extreme jitter caused by every micro-move. Safe Zone Rules 1. Long entries (green zone): * Price above VWAP (trend bullish). * Price inside inner band ±1σ (not touching outer extremes). * Optional: candle close confirmation (price fully above inner band). 2. Short entries (red zone): * Price below VWAP (trend bearish). * Price inside inner band ±1σ. * Optional: candle close confirmation. 3. Outer bands (±2σ): * Considered overextended zones → avoid entries to reduce fakeouts. 4. Visual cues: * Safe zones shaded lightly green/red inside inner band. * Outer bands remain unshaded (for context). Here’s a cheat sheet for trading the Smoothed VWAP Bands + EMAs that shows safe entry zones and trend alignment clearly. Smoothed VWAP Bands + EMAs Cheat Sheet Price Action Relative to Bands & EMAs +2σ (Outer Upper Band) ---------------- Extreme volatility zone Avoid entries here +1σ (Inner Upper Band) ---------------- Safe zone limit for longs Consider profit taking here VWAP Line (Green = Bullish, Red = Bearish) ================== Core trend indicator Only trade in VWAP trend direction -1σ (Inner Lower Band) ---------------- Safe zone limit for shorts Good for entries in trend direction -2σ (Outer Lower Band) ---------------- Extreme volatility zone Avoid entries here 1️⃣ Trend Direction with VWAP & EMAs * VWAP → shows the overall session trend. * Price above VWAP → bullish * Price below VWAP → bearish * EMA 5 (blue) → short-term momentum * EMA 20 (orange) → medium-term trend Rule: Only take trades in the direction of the trend: * Long trades → price > VWAP and EMA 5 > EMA 20 * Short trades → price < VWAP and EMA 5 < EMA 20 This prevents chasing trades against the trend and reduces fakeouts. 2️⃣ Entry Zones Using Smoothed VWAP Bands * Inner band (±1σ) → “safe entry zone” * Outer band (±2σ) → volatility extremes → avoid entries here Rule: Enter longs inside the inner band above VWAP and shorts inside the inner band below VWAP. Best used on intraday timeframes. 15, 5, 2, 1 min charts.
Pine Script®指標
由Simon20cent提供
1
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets. What this indicator does The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols. It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution. Core components Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement. Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude. Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups. How it works conceptually 1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish). 2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL. 3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5. 4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation. How to interpret it Above 0: Indicates dominant buying pressure and likely continuation of upward momentum. Below 0: Suggests dominant selling pressure and potential continuation of downward movement. Crosses of 0: Often mark transitions between accumulation and distribution phases. +0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence. [-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling. Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa. Why normalization matters Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can: Compare multiple assets objectively. Set consistent alert thresholds for overbought/oversold regions. Avoid misleading interpretations from absolute oscillator values. Customization and UI Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity. Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more. Visual Toggles: * Show Oscillator : enables or hides the core histogram. * Show Moving Average : adds a smoothed overlay for signal confirmation. * Paint Candles : optional color overlay for chart candles based on oscillator direction. * Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries. How to use it Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one. Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes. Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows). Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent. Alerts Prebuilt alert conditions allow quick automation: Midline crossovers (0): transition between accumulation and distribution. Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion. Signal moving-average crosses for confirmation entries. Tips for use Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns. Use longer normalization periods for position trading, shorter for intraday analysis. In choppy markets, treat 0-line oscillations as noise filters, not trade triggers. Summary The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
Pine Script®指標
由BackQuant提供