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TSM + ADX Trend PowerLogic Behind This Indicator This indicator combines two momentum/trend tools to identify strong, reliable trends in price movement: 1. TSM (Time Series Momentum) What it does: Measures the difference between the current price and a smoothed average of past prices. Formula: EMA(close - EMA(close, 14), 14) Logic: If TSM > 0 → Price is above its recent average = upward momentum If TSM < 0 → Price is below its recent average = downward momentum 2. ADX (Average Directional Index) What it does: Measures trend strength (not direction). Logic: ADX > 25 → Strong trend (either up or down) ADX < 25 → Weak or no trend (choppy/sideways market) Combined Logic (TSM + ADX) The indicator only signals a trend when both conditions are met: Condition Meaning Uptrend TSM > 0 AND ADX > 25 → Strong upward momentum Downtrend TSM < 0 AND ADX > 25 → Strong downward momentum No signal ADX < 25 → Trend is too weak to trust What It Aims to Detect Strong, sustained trends (not just noise or small moves) Filters out weak/choppy markets where momentum indicators often give false signals Entry/exit points: Green background = Strong uptrend (consider buying/holding) Red background = Strong downtrend (consider selling/shorting) No color = Weak trend (stay out or wait)
Pine Script® indicator
by Zorgs
Simple Custom Watermark & Symbol Info ジAdd a clean, configurable watermark to any chart. This lightweight indicator displays a custom name or brand plus optional symbol, timeframe, and current date in any corner of the chart. Perfect for traders, streamers, analysts, and content creators who want consistent chart branding, fast timestamps, or tidy screenshots. Key features Custom watermark text (brand, username, or logo text) Toggle display of Symbol, Timeframe, and Date Choose position: Top/Bottom × Left/Center/Right Text color, background color (with alpha) and text size (small/normal/large) Ultra-light, overlay-only — no chart clutter or extra objects Why use it Professionalize screenshots and shared charts with consistent branding Add automatic timestamps to charts for auditability or content posts Useful for streaming, educational content, reports, or trading journals Minimal footprint keeps the chart readable while adding essential metadata How traders use it Add your name/handle for attribution on social posts Show timeframe & symbol automatically when switching charts Use date stamp for sessions, reports, and evidence of analysis timing Built for clarity, speed, and clean visuals. Simple to configure — drop it on any chart and customize the watermark to match your workflow.
Pine Script® indicator
by archiedurrant
ATR Regime Filter (median & P70)ATR Regime Filter (Median & P70) Purpose Filter your signals by the volatility regime. The indicator compares the current ATR to two rolling statistical thresholds—the median (P50) and the 70th percentile (P70)—to avoid trading during quiet phases and prioritize setups when the market “breathes.” How it works Computes ATR(14) on a user-defined source timeframe (srcTF) via request.security. Converts a target window in days (days) into bars of the source TF. Due to Pine limits, the effective window is capped at 5000 bars (shown in an optional label). Calculates Median (P50) and P70 of ATR over the effective window. Exposes two booleans: ATR > Median (normal-to-elevated volatility) ATR > P70 (elevated volatility) Display Plots: ATR, Median, P70. Panel background (bgcolor): light green when ATR > P70 teal when ATR > Median neutral otherwise Optional label: shows source TF, effective window size (bars & days), and the boolean states. Inputs ATR length (default 14) TF source ATR (srcTF, e.g., “1”, “5”, “15”) Target window (days) (days, default 20) Show label (bool) Suggested use Breakout/Momentum: require ATR > P70 in addition to your breakout conditions (close beyond level, volume, retest). Range/Mean reversion: at minimum require ATR > Median. In strategies, use ATR > Median/P70 as a filter alongside price structure, volume, and EMAs. Limitations On very short source TFs (e.g., 1-min), the window may be clipped to 5000 bars (~3.5 days). Increase srcTF (5m/15m) if you want a true 15–30 day history. ATR measures magnitude, not direction—combine with trend/structure signals.
Pine Script® indicator
by sperrenotcantin
"Top 20 Crypto Coins Table Screener + SuperTrend & EMA 9/21 CrosThis indicator is a powerful table screener for the top 20 crypto coins, updated for 2025 and designed for maximum clarity and speed. It displays customizable columns for Symbol, Price, SuperTrend ("Up"/"Down"), and EMA 9/21 crossover signals ("Buy"/"Sell") across multiple assets on a single chart. Features: Covers 20 major coins (edit the symbol list for preferences). SuperTrend direction and coloring, for quick visual identification of trend. EMA 9/21 crossover logic for rapid momentum buy/sell decisions. Fast table rendering, minimal lag—even on basic hardware. All logic, table columns, and alerts directly built into the script. How To Use: Paste the indicator code into Pine Editor and save it. Activate for your preferred timeframes and coins. View the table at the top right for actionable signals. Easy to customize ticker symbols and table layout. Remarks: No RSI, ADX, or TSI for speed—focus is on high-impact trend/momentum signals. Ideal for day traders, swing traders, and crypto investors monitoring broader markets. For questions, improvements, or feedback, comment on the script page or connect via TradingView.
Pine Script® indicator
by All_in_Traders
Fractals & SweepThe Fractals & Sweep indicator is designed to identify key market structure points (fractals) and detect potential liquidity sweeps around those areas. It visually highlights both Bill Williams fractals and regular fractals, and alerts the user when the market sweeps liquidity above or below the most recent fractal levels. Fractal Recognition: Detects both bullish (low) and bearish (high) fractals on the price chart. Users can choose between: Bill Williams fractal logic (default), or Regular fractal logic (when the “Filter Bill Williams Fractals” option is enabled). Fractals are plotted directly on the chart as red downward triangles for highs and green upward triangles for lows. Fractal Tracking: The indicator stores the most recent high and low fractal levels to serve as reference points for potential sweep detection. Sweep Detection: A bearish sweep is triggered when the price wicks above the last fractal high but closes below it — suggesting a liquidity grab above resistance. A bullish sweep is triggered when the price wicks below the last fractal low but closes above it — suggesting a liquidity grab below support. When a sweep occurs, the indicator draws a horizontal line from the previous fractal point to the current bar. Alert System: Custom alerts notify the trader when a bearish sweep or bullish sweep occurs, allowing for timely reactions to potential reversals or liquidity traps.
Pine Script® indicator
by ManuPeica
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary 📊 Overview A professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk. 🎯 Key Features Core Signal System 7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume Signal Grading: Each signal is rated A+ through D based on 7 quality factors Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D) Advanced Safety Filters (Customizable) Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands ATR Spike Filter - Avoids trading during extreme volatility events EMA Spacing Filter - Ensures proper trend separation (optional) Momentum Filter - Requires consecutive directional bars (optional) Multi-Timeframe Confirmation - Aligns with 15-min trend (optional) TopStep Risk Management Real-time drawdown tracking Position sizing calculator based on remaining cushion Daily loss limit monitoring Consecutive loss protection Max trades per day limiter Visual Components VWAP with 1σ, 2σ, 3σ bands EMA 9/21 with cloud fill 15-min EMA 50 for HTF trend Comprehensive metrics dashboard Risk management panel Filter status panel Detailed trade labels with entry, stops, and targets ⚙️ Default Settings (Balanced for Regular Signals) Technical Indicators Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min) MACD: 10/22/9 RSI: 14 period | Thresholds: 52 (buy) / 48 (sell) ADX: 14 period | Minimum: 20 ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x Volume: 1.2x average required Session Settings Default: 9:30 AM - 11:30 AM ET (adjustable) Avoids first 15 minutes after market open Customizable trading hours Safety Filters (Default Configuration) ✅ Mean Reversion: Enabled (2.5σ max from VWAP) ✅ ATR Spike: Enabled (2.0x threshold) ❌ EMA Spacing: Disabled (can enable for quality) ❌ Momentum: Disabled (can enable for quality) ❌ MTF Confirmation: Disabled (can enable for quality) Risk Controls Minimum Signal Quality: C (adjustable to A+ for fewer/better signals) Min Bars Between Signals: 10 Max Trades Per Day: 5 Stop After Consecutive Losses: 2 📈 Expected Performance With Default Settings: Signals per week: 10-15 trades Estimated win rate: 55-60% Risk-Reward: 1:2 (TP1) and 1:3 (TP2) With Aggressive Settings (Min Quality = D, All Filters Off): Signals per week: 20-25 trades Estimated win rate: 50-55% With Conservative Settings (Min Quality = A, All Filters On): Signals per week: 3-5 trades Estimated win rate: 65-70% 🚀 How to Use Basic Setup: Add indicator to MNQ 5-minute chart Adjust TopStep account settings in inputs Set your risk per trade percentage (default: 0.5%) Configure trading session hours Set minimum signal quality (Start with C for balanced results) Signal Interpretation: Green Triangle (BUY): Long signal - all confirmations aligned Red Triangle (SELL): Short signal - all confirmations aligned Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3) Dashboard Monitoring: Top Right: Technical metrics and market conditions Top Left: Filter status (which filters are passing/blocking) Bottom Right: TopStep risk metrics and position sizing ⚡ Customization Tips For More Signals: Lower "Minimum Signal Quality" to D Decrease ADX threshold to 18-20 Lower RSI thresholds to 50/50 Reduce Volume multiplier to 1.1x Disable additional filters For Higher Quality (Fewer Signals): Raise "Minimum Signal Quality" to A or A+ Increase ADX threshold to 25-30 Enable all 5 advanced filters Tighten VWAP distance to 2.0σ Increase momentum requirement to 3-4 bars For TopStep Compliance: Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account Update "Already Used Drawdown" daily Monitor the Risk Panel for cushion remaining Use recommended contract sizing 🛡️ Risk Disclaimer IMPORTANT: This indicator is for educational and informational purposes only. Past performance does not guarantee future results All trading involves substantial risk of loss Use proper risk management and position sizing Test thoroughly in paper trading before live use The indicator does not guarantee profitable trades Adjust settings based on your risk tolerance and trading style Always comply with your broker's and TopStep's rules
Pine Script® indicator
by elivgorelick
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary📊 OverviewA professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.🎯 Key FeaturesCore Signal System 7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume Signal Grading: Each signal is rated A+ through D based on 7 quality factors Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D) Advanced Safety Filters (Customizable) Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands ATR Spike Filter - Avoids trading during extreme volatility events EMA Spacing Filter - Ensures proper trend separation (optional) Momentum Filter - Requires consecutive directional bars (optional) Multi-Timeframe Confirmation - Aligns with 15-min trend (optional) TopStep Risk Management Real-time drawdown tracking Position sizing calculator based on remaining cushion Daily loss limit monitoring Consecutive loss protection Max trades per day limiter Visual Components VWAP with 1σ, 2σ, 3σ bands EMA 9/21 with cloud fill 15-min EMA 50 for HTF trend Comprehensive metrics dashboard Risk management panel Filter status panel Detailed trade labels with entry, stops, and targets ⚙️ Default Settings (Balanced for Regular Signals)Technical Indicators Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min) MACD: 10/22/9 RSI: 14 period | Thresholds: 52 (buy) / 48 (sell) ADX: 14 period | Minimum: 20 ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x Volume: 1.2x average required Session Settings Default: 9:30 AM - 11:30 AM ET (adjustable) Avoids first 15 minutes after market open Customizable trading hours Safety Filters (Default Configuration) ✅ Mean Reversion: Enabled (2.5σ max from VWAP) ✅ ATR Spike: Enabled (2.0x threshold) ❌ EMA Spacing: Disabled (can enable for quality) ❌ Momentum: Disabled (can enable for quality) ❌ MTF Confirmation: Disabled (can enable for quality) Risk Controls Minimum Signal Quality: C (adjustable to A+ for fewer/better signals) Min Bars Between Signals: 10 Max Trades Per Day: 5 Stop After Consecutive Losses: 2 📈 Expected PerformanceWith Default Settings: Signals per week: 10-15 trades Estimated win rate: 55-60% Risk-Reward: 1:2 (TP1) and 1:3 (TP2) With Aggressive Settings (Min Quality = D, All Filters Off): Signals per week: 20-25 trades Estimated win rate: 50-55% With Conservative Settings (Min Quality = A, All Filters On): Signals per week: 3-5 trades Estimated win rate: 65-70% 🚀 How to UseBasic Setup: Add indicator to MNQ 5-minute chart Adjust TopStep account settings in inputs Set your risk per trade percentage (default: 0.5%) Configure trading session hours Set minimum signal quality (Start with C for balanced results) Signal Interpretation: Green Triangle (BUY): Long signal - all confirmations aligned Red Triangle (SELL): Short signal - all confirmations aligned Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3) Dashboard Monitoring: Top Right: Technical metrics and market conditions Top Left: Filter status (which filters are passing/blocking) Bottom Right: TopStep risk metrics and position sizing ⚡ Customization TipsFor More Signals: Lower "Minimum Signal Quality" to D Decrease ADX threshold to 18-20 Lower RSI thresholds to 50/50 Reduce Volume multiplier to 1.1x Disable additional filters For Higher Quality (Fewer Signals): Raise "Minimum Signal Quality" to A or A+ Increase ADX threshold to 25-30 Enable all 5 advanced filters Tighten VWAP distance to 2.0σ Increase momentum requirement to 3-4 bars For TopStep Compliance: Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account Update "Already Used Drawdown" daily Monitor the Risk Panel for cushion remaining Use recommended contract sizing 🛡️ Risk DisclaimerIMPORTANT: This indicator is for educational and informational purposes only. Past performance does not guarantee future results All trading involves substantial risk of loss Use proper risk management and position sizing Test thoroughly in paper trading before live use The indicator does not guarantee profitable trades Adjust settings based on your risk tolerance and trading style Always comply with your broker's and TopStep's rules
Pine Script® indicator
by elivgorelick
Stochastic Enhanced [DCAUT]█ Stochastic Enhanced 📊 ORIGINALITY & INNOVATION The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles. Key Improvements: Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre) Maintains backward compatibility with traditional Stochastic calculations through SMA default setting Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition Comprehensive alert system covering crossovers and zone entries for systematic trade management Differentiation from Traditional Stochastic: Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs. 📐 MATHEMATICAL FOUNDATION Core Stochastic Calculation: The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period: Step 1: Raw %K Calculation %K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low) Where: Close = Current closing price Lowest Low = Lowest low over the %K Length period Highest High = Highest high over the %K Length period Result ranges from 0 (close at period low) to 100 (close at period high) Step 2: Smoothed %K Calculation %K = MA(%K_raw, K Smoothing Period, MA Type) Where: MA = Selected moving average algorithm (SMA, EMA, etc.) K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic Traditional Fast Stochastic uses %K_raw directly without smoothing Step 3: Signal Line %D Calculation %D = MA(%K, D Smoothing Period, MA Type) Where: %D acts as a signal line and moving average of %K D Smoothing typically set to 3 periods in traditional implementations Both %K and %D use the same MA algorithm for consistent behavior Available Smoothing Algorithms (21 Options): Standard Moving Averages: SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity Advanced Moving Averages: HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction LSMA (Least Squares): Linear regression based, fits trend line to data points DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive TMA (Triangular): Double-smoothed SMA, very smooth but slower response Adaptive & Intelligent Filters: T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering Advanced Digital Filters: Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively 📊 COMPREHENSIVE SIGNAL ANALYSIS Absolute Level Interpretation (%K Line): %K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries %K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing %K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend %K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend %K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing %K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries Crossover Signal Analysis: %K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level %K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move Advanced Divergence Patterns (%K Line vs Price): Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation Momentum Strength Analysis (%K Line Slope): Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing %K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following 🎯 STRATEGIC APPLICATIONS Mean Reversion Strategy (Range-Bound Markets): Identify ranging market conditions using price action or Bollinger Bands Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold) Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20) Set profit targets near opposite extreme or midline (50 level) Use tight stop-loss above recent swing high/low to protect against breakout scenarios Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction Trend Following with Momentum Confirmation: Identify primary trend direction using higher timeframe analysis or moving averages Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend) Use wider stops to accommodate normal trend volatility Add to position on subsequent pullbacks showing similar Stochastic pattern Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence Divergence-Based Reversal Strategy: Scan for divergence between price and Stochastic at swing highs/lows Confirm divergence with at least two price pivots showing divergent Stochastic readings Wait for %K to cross %D in direction of anticipated reversal as entry trigger Enter position in divergence direction with stop beyond recent swing extreme Target profit at key support/resistance levels or Fibonacci retracements Scale out as Stochastic reaches opposite extreme zone Multi-Timeframe Momentum Alignment: Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias Switch to lower timeframe (1H or 15M) for precise entry timing Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses Zone Transition Strategy: Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.) Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish Use zone midpoint (50) as dynamic support/resistance for position management Trail stops as Stochastic advances through favorable zones Exit when Stochastic fails to maintain momentum and reverses back into prior zone 📋 DETAILED PARAMETER CONFIGURATION %K Length (Default: 14): Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis %K Smoothing (Default: 3): Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+ %D Smoothing (Default: 3): Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only Smoothing Type Algorithm Selection: For Trending Markets: ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability For Ranging/Choppy Markets: Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification For Adaptive Market Conditions: KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges For Conservative Long-Term Analysis: SMA: Traditional choice, predictable behavior, widely understood characteristics RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely Source Selection: Close (Default): Standard choice using closing prices, most common and widely tested HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: Traditional SMA-Based Stochastic: Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods Equal treatment of trending and ranging markets, no adaptation to volatility changes Predictable behavior but suboptimal in varying market regimes Enhanced Version with Adaptive Algorithms: KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA Performance improvements vary by algorithm selection and market conditions Signal Quality Improvements: Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals Comparison with Standard Implementations: Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments Flexibility Advantages: Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends) Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture Backtesting capability with algorithm as optimization parameter for strategy development Limitations and Considerations: Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals USAGE NOTES This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions. Important Considerations: Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm Divergence patterns require confirmation from price action or additional indicators before trading Past indicator characteristics and backtested results do not guarantee future performance Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation Test selected algorithm on historical data of specific instrument and timeframe before live trading Market regime changes may require algorithm adjustment for optimal performance The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
Pine Script® indicator
by DCAUT