Pinescripting4traders — 指標和策略

Quantum Candle Scanner [JOAT] Quantum Candle Scanner - Advanced Multi-Pattern Recognition System Introduction and Purpose Quantum Candle Scanner is an open-source overlay indicator that detects multiple candlestick patterns including engulfing patterns, kicker patterns, inside bar setups, momentum candles, and higher-high/lower-low sequences. The core problem this indicator solves is that traders often miss patterns because they're looking for only one type. Different patterns work better in different market conditions. This indicator addresses that by scanning for five distinct pattern types simultaneously, giving traders a comprehensive view of price action signals. Why These Five Pattern Types Work Together Each pattern type identifies different market behavior: 1. Engulfing Patterns - Classic reversal signals where current candle completely engulfs the previous candle. Best for identifying potential turning points. 2. Kicker Patterns - Strong reversal signals with gap confirmation. The current candle opens beyond the previous candle's open with opposite direction. Best for identifying high-momentum reversals. 3. Inside Bar Patterns - Consolidation breakout signals where a candle's range is contained within the previous candle, followed by a breakout. Best for identifying compression before expansion. 4. Momentum Candles - Identifies the largest body candle over a lookback period. Best for spotting institutional activity. 5. HH/HL and LH/LL Sequences - Three-bar structure patterns showing trend continuation. Best for confirming trend direction. How the Detection Works Engulfing Pattern: bool engulfBullBase = open <= math.min(close , open ) and close >= math.max(close , open ) and isBullish(0) and getBodyPct(0) > bodyMinPct Kicker Pattern: bool kickerBull = isBearish(1) and isBullish(0) and open > open and low > low and getBodyPct(0) > 40 and getBodyPct(1) > 40 Inside Bar: bool insideBarSetup = low < low and high > high bool insideBarBull = insideBarSetup and isBullish(0) HH/HL Sequence: bool hhhlSeq = high > high and low > low and high > high and low > low and close > close Optional Filters ATR Filter - Only shows patterns where candle body exceeds ATR (strong candles only) Body Minimum % - Requires minimum body percentage for engulfing patterns Close Beyond Prior H/L - Requires engulfing candle to close beyond prior high/low Dashboard Information Engulfing - Total engulfing patterns detected Kicker - Kicker pattern count Inside Bar - Inside bar breakout count HH/LL Seq - Structure sequence count Total - Combined pattern count How to Use This Indicator For Reversal Trading: 1. Look for engulfing or kicker patterns at key support/resistance 2. Confirm with HH/HL or LH/LL sequence breaking 3. Enter with stop beyond the pattern For Breakout Trading: 1. Identify inside bar setups (consolidation) 2. Enter on breakout candle in direction of break 3. Use the inside bar range for stop placement For Trend Confirmation: 1. Use HH/HL sequences to confirm uptrend structure 2. Use LH/LL sequences to confirm downtrend structure 3. Momentum candles indicate institutional participation Input Parameters Detect Engulfing/Kicker/Inside Bar/Momentum/HHLL (all true) - Toggle each pattern type Min Body % for Engulfing (0) - Minimum body percentage ATR Filter (false) - Only show strong candles Engulf Must Close Beyond Prior H/L (true) - Stricter engulfing definition Compact Mode (false) - Shorter labels for cleaner charts Timeframe Recommendations 1H-Daily: Best for reliable pattern detection 15m-30m: More patterns but higher noise Use Compact Mode on lower timeframes Limitations Pattern detection is mechanical and does not consider context Not all patterns lead to successful trades Kicker patterns are rare but powerful Inside bar breakouts can fail (false breakouts) Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Pattern detection does not guarantee trade outcomes. Always use proper risk management. - Made with passion by officialjackofalltrades

Prism Band Dynamics [JOAT]Prism Band Dynamics - Bollinger-Style Bands with Force Detection Introduction and Purpose Prism Band Dynamics is an open-source overlay indicator that creates dynamic Bollinger-style bands with an innovative "force detection" system. The core problem this indicator solves is that standard Bollinger Bands show volatility but don't indicate directional momentum. When all three band components (upper, lower, basis) move in the same direction, it indicates strong directional force that standard bands don't highlight. This indicator addresses that by detecting when all band components align directionally, providing a clear signal of market force. Why Force Detection Matters Standard Bollinger Bands expand and contract based on volatility, but they don't tell you about directional momentum. Force detection adds this dimension: 1. Bullish Force - Upper band, lower band, AND basis all moving up together. This indicates strong upward momentum where even the lower support level is rising. 2. Bearish Force - Upper band, lower band, AND basis all moving down together. This indicates strong downward momentum where even the upper resistance level is falling. 3. Neutral - Mixed movement indicates consolidation or uncertainty. How Force Detection Works bool upperUp = upper > upper bool lowerUp = lower > lower bool basisUp = basis > basis int forceFull = if upperUp and lowerUp and basisUp 1 // Bullish force else if upperDn and lowerDn and basisDn -1 // Bearish force else 0 // Neutral Additional Features Squeeze Detection - Identifies when band width contracts below threshold, often preceding large moves Gradient Fills - Color intensity reflects force strength Direction Change Arrows - Visual markers when force direction shifts Dashboard Information Force - Current force status (BULLISH/BEARISH/NEUTRAL) Position - Price location within bands (Upper/Mid/Lower Zone) Band Width - Current width percentage with expansion/contraction label Volatility - Squeeze status (SQUEEZE/NORMAL) Force Count - Bars since last force change How to Use This Indicator For Trend Following: 1. Enter long when force turns BULLISH 2. Enter short when force turns BEARISH 3. Exit or reduce when force turns NEUTRAL For Squeeze Breakouts: 1. Watch for SQUEEZE status in dashboard 2. Prepare for breakout in either direction 3. Enter when force confirms direction after squeeze For Mean Reversion: 1. Only trade mean-reversion when force is NEUTRAL 2. Avoid fading moves when force is active 3. Use band touches as entry points during neutral force Input Parameters Length (20) - Period for basis and standard deviation Multiplier (2.0) - Standard deviation multiplier for bands MA Type (SMA) - Basis calculation method Squeeze Threshold (0.5) - Band width percentage for squeeze detection Timeframe Recommendations 4H-Daily: Cleanest force signals 1H: Good balance of signals and reliability 15m: More signals but more noise Limitations Force detection can lag during rapid reversals Squeeze breakouts can fail (false breakouts) Works best in markets with clear trending/ranging phases Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Force detection does not guarantee trend continuation. Always use proper risk management. - Made with passion by officialjackofalltrades

Quantum Reversal Detector [JOAT] Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis Introduction and Purpose Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context. This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal. Why These Components Work Together The indicator combines five analytical approaches, each addressing a different aspect of reversal detection: 1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold) 2. MACD Crossovers - Confirms momentum direction change 3. Support/Resistance Proximity - Ensures price is at a significant level 4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes 5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating These components are not randomly combined. Each filter catches reversals that others miss: RSI catches momentum exhaustion but misses structural reversals MACD catches momentum shifts but lags price action S/R proximity catches structural levels but ignores momentum Multi-depth momentum catches divergences across timeframes Probability scoring combines all factors into actionable confidence levels How the Detection System Works Step 1: Pattern Detection The indicator first identifies potential reversal conditions: // Check if price is at support/resistance float lowestLow = ta.lowest(low, period) float highestHigh = ta.highest(high, period) bool atSupport = low <= lowestLow * 1.002 bool atResistance = high >= highestHigh * 0.998 // Check RSI conditions float rsi = ta.rsi(close, 14) bool oversold = rsi < 30 bool overbought = rsi > 70 // Check MACD crossover float macd = ta.ema(close, 12) - ta.ema(close, 26) float signal = ta.ema(macd, 9) bool macdBullish = ta.crossover(macd, signal) bool macdBearish = ta.crossunder(macd, signal) // Combine for reversal detection if atSupport and oversold and macdBullish bullishReversal := true Step 2: Multi-Depth Momentum Analysis The indicator calculates momentum across multiple periods to detect divergences: calculateQuantumMomentum(series float price, simple int period, simple int depth) => float totalMomentum = 0.0 for i = 0 to depth - 1 int currentPeriod = period * (i + 1) float momentum = ta.roc(price, currentPeriod) totalMomentum += momentum totalMomentum / depth This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts. Step 3: Bayesian Probability Calculation The indicator uses Bayesian updating to calculate reversal probability: bayesianProbability(series float priorProb, series float likelihood, series float evidence) => float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb math.min(math.max(posterior, 0.0), 1.0) The prior probability starts at 50% and updates based on: RSI extreme readings increase likelihood MACD crossovers increase likelihood S/R proximity increases likelihood Momentum divergence increases likelihood Step 4: Confidence Intervals Using Monte Carlo simulation concepts, the indicator estimates price distribution: monteCarloSimulation(series float price, series float volatility, simple int iterations) => float sumPrice = 0.0 float sumSqDiff = 0.0 for i = 0 to iterations - 1 float randomFactor = (i % 10 - 5) / 10.0 float simulatedPrice = price + volatility * randomFactor sumPrice += simulatedPrice float avgPrice = sumPrice / iterations // Calculate standard deviation for confidence intervals This provides 95% and 99% confidence bands around the current price. Signal Classification Signals are classified by confirmation level: Confirmed Reversal : Pattern detected for N consecutive bars (default 3) High Probability : Confirmed + Bayesian probability > 70% Ultra High Probability : High probability + PDF above average Dashboard Information The dashboard displays: Bayesian Probability - Updated reversal probability (0-100%) Quantum Momentum - Multi-depth momentum average RSI - Current RSI value with overbought/oversold status Volatility - Current ATR as percentage of price Reversal Signal - BULLISH, BEARISH, or NONE Divergence - Momentum divergence detection MACD - Current MACD histogram value S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL 95% Confidence - Price range with 95% probability Bull/Bear Targets - ATR-based reversal targets Visual Elements Quantum Bands - ATR-based upper and lower channels Probability Field - Circle layers showing probability distribution Confidence Bands - 95% and 99% confidence interval circles Reversal Labels - REV markers at confirmed reversals High Probability Markers - Star diamonds at high probability setups Reversal Zones - Boxes around confirmed reversal areas Divergence Markers - Triangles at momentum divergences How to Use This Indicator For Reversal Trading: 1. Wait for Bayesian Probability to exceed 70% 2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE) 3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts) 4. Enter when REV label appears with high probability marker For Risk Management: 1. Use the 95% confidence band as a stop-loss reference 2. Use Bull/Bear Targets for take-profit levels 3. Higher probability readings warrant larger position sizes For Filtering False Signals: 1. Increase Confirmation Bars to require more consecutive signals 2. Only trade when probability exceeds 70% 3. Require divergence confirmation for highest conviction Input Parameters Reversal Period (21) - Lookback for S/R and momentum calculations Quantum Depth (5) - Number of momentum layers for multi-depth analysis Confirmation Bars (3) - Consecutive bars required for confirmation Detection Sensitivity (1.2) - Band width and target multiplier Bayesian Probability (true) - Enable probability calculation Monte Carlo Simulation (true) - Enable confidence interval calculation Normal Distribution (true) - Enable PDF calculation Confidence Intervals (true) - Enable confidence bands Timeframe Recommendations 1H-4H: Best for swing trading reversals Daily: Fewer but more significant reversal signals 15m-30m: More signals, requires higher probability threshold Limitations Statistical concepts are simplified implementations for Pine Script Monte Carlo uses deterministic pseudo-random factors, not true randomness Bayesian probability uses simplified prior/likelihood model Reversal detection does not guarantee actual reversals will occur Confirmation bars add lag to signal generation Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades

Level 1 - Learn to code simply - PineScript The goal of this script is honestly to help everyone learn about trading with bots and algos. At least, to get started. Level 1: 10 lines of code. learn to plot 2 moving averages on your chart. learn to create a signal from a crossover. learn the very basics of Pine Script algo.