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"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
T3 [DCAUT]█ T3 📊 INDICATOR OVERVIEW The T3 Moving Average is a smoothing indicator developed by Tim Tillson and published in Technical Analysis of Stocks & Commodities magazine (January 1998). The algorithm applies Generalized DEMA (Double Exponential Moving Average) recursively three times, creating a six-pole filtering effect that aims to balance noise reduction with responsiveness while minimizing lag relative to price changes. 📐 MATHEMATICAL FOUNDATION Generalized DEMA (GD) Function: The core building block is the Generalized DEMA function, which combines two exponential moving averages with weights controlled by the volume factor: GD(input, v) = EMA(input) × (1 + v) - EMA(EMA(input)) × v Where v is the volume factor parameter (default 0.7). This weighted combination reduces lag while maintaining smoothness by extrapolating beyond the first EMA using the double-smoothed EMA as a reference. T3 Calculation Process: T3 applies the GD function three times recursively: T3 = GD(GD(GD(Price, v), v), v) This triple nesting creates a six-pole smoothing effect (each GD applies two EMA operations, resulting in 2 × 3 = 6 total EMA calculations). The cascading refinement progressively filters noise while preserving trend information. Step-by-Step Breakdown: First GD application: GD1 = EMA(Price) × (1 + v) - EMA(EMA(Price)) × v - Creates initial smoothed series with lag reduction Second GD application: GD2 = EMA(GD1) × (1 + v) - EMA(EMA(GD1)) × v - Further refines the smoothing while maintaining responsiveness Third GD application: T3 = EMA(GD2) × (1 + v) - EMA(EMA(GD2)) × v - Final refinement produces the T3 output Volume Factor Impact: The volume factor (v) is the key parameter controlling the balance between smoothness and responsiveness. Tim Tillson recommended v = 0.7 as the optimal default value. Lower volume factors (v closer to 0.0): Increase the extrapolation effect, making T3 more responsive to price changes but potentially more sensitive to noise. Higher volume factors (v closer to 1.0): Reduce the extrapolation effect, producing smoother output with less sensitivity to short-term fluctuations but slightly more lag. The recursive application of the volume factor through three GD stages creates a nonlinear filtering effect that achieves superior lag reduction compared to traditional moving averages of equivalent smoothness. 📊 SIGNAL INTERPRETATION Trend Direction Signals: Green Line (T3 Rising): Smoothed trend line is rising, may indicate uptrend, consider bullish opportunities when confirmed by other factors Red Line (T3 Falling): Smoothed trend line is falling, may indicate downtrend, consider bearish opportunities when confirmed by other factors Gray Line (T3 Flat): Smoothed trend line is flat, indicates unclear trend or consolidation phase Price Crossover Signals: Price Crosses Above T3: Price breaks above smoothed trend line, may be bullish signal, requires confirmation from other indicators Price Crosses Below T3: Price breaks below smoothed trend line, may be bearish signal, requires confirmation from other indicators Price Position Relative to T3: Price sustained above T3 may indicate uptrend, sustained below may indicate downtrend Supporting Analysis Signals: T3 Slope Angle: Steeper slopes indicate stronger trend momentum, flatter slopes suggest weakening trends Price Deviation: Significant price separation from T3 may indicate overextension, watch for pullback or reversal Dynamic Support/Resistance: T3 line can serve as dynamic support (in uptrends) or resistance (in downtrends) reference 🎯 STRATEGIC APPLICATIONS Common Usage Patterns: The T3 Moving Average can be incorporated into trading analysis in various ways. These represent common approaches used by market participants, though effectiveness varies by market conditions and requires individual testing: Trend Filtering: T3 can be used as a trend filter by observing the relationship between price and the T3 line. The color-coded slope (green for rising, red for falling, gray for sideways) provides visual feedback about the current trend direction of the smoothed series. Price Crossover Analysis: Some traders monitor crossovers between price and the T3 line as potential indication points. When price crosses the T3 line, it may suggest a change in the relationship between current price action and the smoothed trend. Multi-Timeframe Observation: T3 can be applied to multiple timeframes simultaneously. Observing alignment or divergence between different timeframe T3 indicators may provide context about trend consistency across time scales. Dynamic Reference Level: The T3 line can serve as a dynamic reference level for price action analysis. Price distance from T3, price reactions when approaching T3, and the behavior of price relative to the T3 line can all be incorporated into market analysis frameworks. Application Considerations: Any trading application should be thoroughly tested on historical data before implementation T3 performance characteristics vary across different market conditions and asset types The indicator provides smoothed trend information but does not predict future price movements Combining T3 with other analytical tools and market context improves analysis quality Risk management practices remain essential regardless of the analytical approach used 📋 DETAILED PARAMETER CONFIGURATION Source Selection: Close Price (Default): Standard choice for end-of-period trend analysis, reduces intrabar noise HL2 (High+Low)/2: Provides balanced view of price action, considers full bar range HLC3 or OHLC4: Incorporates more price information, may provide smoother results Selection Impact: Different sources affect signal timing and smoothness characteristics Length Configuration: Shorter periods: More responsive, faster reaction, frequent signals, but higher false signal risk in choppy markets Longer periods: Smoother output, fewer signals, better for long-term trends, but slower response Default 14 periods is a common baseline, but optimal length varies by asset, timeframe, and market conditions Parameter selection should be determined through backtesting rather than general recommendations Volume Factor Configuration: Lower values (closer to 0.0): Increase responsiveness but also noise sensitivity Higher values (closer to 1.0): Increase smoothness but slightly more lag Default 0.7 (Tim Tillson's recommendation) provides good balance for most applications Optimal value depends on signal frequency versus reliability preference, test for specific use case Parameter Optimization Approach: There are no universal "best" parameter values - optimal settings depend on the specific asset, timeframe, market regime, and trading strategy Start with default values (Length: 14, Volume Factor: 0.7) and adjust based on observed performance in your target market Conduct systematic backtesting across different market conditions to evaluate parameter sensitivity Consider that parameters optimized for historical data may not perform identically in future market conditions Monitor performance and be prepared to adjust parameters as market characteristics evolve 📈 DESIGN FEATURES & MARKET ADAPTATION Algorithm Design Features: Simple Moving Average (SMA): Equal weighting across lookback period Exponential Moving Average (EMA): Exponentially decreasing weights on historical prices T3 Moving Average: Recursive Generalized DEMA with adjustable volume factor Market Condition Adaptation: Trending markets: Smoothed indicators generally align more closely with sustained directional movement Ranging markets: All moving averages may generate more crossover signals during non-trending periods Volatile conditions: Higher smoothing parameters reduce short-term sensitivity but increase lag Indicator behavior relative to market conditions should be evaluated for specific applications USAGE NOTES This indicator is designed for technical analysis and educational purposes. The T3 Moving Average has limitations and should not be used as the sole basis for trading decisions. Like all trend-following indicators, its performance varies with market conditions, and past signal characteristics do not guarantee future results. Key Points: T3 is a lagging indicator that responds to price changes rather than predicting future movements Signals should be confirmed with other technical tools and market context Parameters should be optimized for specific market and timeframe Risk management and position sizing are essential Market regime changes can affect indicator effectiveness Test strategies thoroughly on historical data before live implementation Consider broader market context and fundamental factors
Pine Script® indicator
by DCAUT
MACD-V - Volatility(ATR) normalized MACDThe MACD-V indicator modifies the traditional MACD formula by dividing the difference between the two Exponential Moving Averages (EMAs) by the Average True Range (ATR) The key advantages of this indicator over MACD are: Cross-market comparability: The classic MACD gives different readings for different instruments (like a stock versus a commodity) that are not directly comparable. MACD-V's normalization makes momentum readings comparable across different markets. Time-based stability: Classic MACD readings can't be reliably compared over long periods of time due to changes in an asset's price and volatility. MACD-V's volatility adjustment creates more stable and consistent readings over time. Reduction of false signals: In sideways or low-momentum markets, the traditional MACD can generate numerous false crossover signals near the zero line. MACD-V filters out these false signals by defining specific "neutral zones," typically between -50 and +50, where crossovers are ignored. Consistent Thresholds : MACD-V overbought and oversold thresholds (e.g., +150 and -150) are independent of instrument price, allowing for a more objective framework for analyzing momentum.
Pine Script® indicator
by njoneja
1
MNQ Morning Indicator | Clean SignalsMNQ Morning Trading Indicator Summary What It Does This is a TradingView indicator designed for day trading MNQ (Micro Nasdaq-100 futures) during morning sessions. It generates BUY and SELL signals only when multiple technical conditions align, helping traders identify high-probability trade setups. Core Strategy BUY Signal Requirements (All must be true): ✅ Price above VWAP (volume-weighted average price) ✅ Fast EMA (9) above Slow EMA (21) - uptrend confirmation ✅ Price above 15-minute 50 EMA - higher timeframe confirmation ✅ MACD histogram positive - momentum confirmation ✅ RSI above 55 - strength confirmation ✅ ADX above 25 - trending market (not choppy) ✅ Volume 1.5x above average - strong participation SELL Signal (opposite conditions) Key Features 🎯 Risk Management Stop Loss: 2× ATR (Average True Range) Take Profit 1: 2× ATR (1:2 risk-reward) Take Profit 2: 3× ATR (1:3 risk-reward) Dollar values: Calculates P&L based on MNQ's $2/point value ⏰ Session Filter Default: 9:30 AM - 11:30 AM ET (customizable) Safety feature: Avoids first 15 minutes (high volatility period) Won't generate signals outside trading hours 🛡️ Signal Quality Rates each signal: 🔥 STRONG, ⚡ MEDIUM, or ⚠️ WEAK Requires minimum 15 bars between signals (prevents overtrading) 📊 Visual Dashboard Shows real-time metrics: ATR values ADX (trend strength) RSI (momentum) Market condition (TREND/CHOP) Session status Volume status Signal cooldown timer Visual Elements 📈 VWAP with standard deviation bands (1σ, 2σ, 3σ) 📉 Multiple EMAs with trend-based coloring 🟢/🔴 Buy/Sell arrows on chart 📋 Detailed trade labels showing entry, SL, TPs, and risk-reward ratios 🎨 Background highlighting for market conditions Safety Features Cooldown period between signals Session restrictions (no trading outside set hours) First 15-minute avoidance (post-open volatility) Multi-confirmation requirement (all 7 conditions must align) Trend filter (ADX minimum to avoid choppy markets) Best For Day traders focused on morning sessions MNQ futures traders Traders who prefer systematic, rule-based entries Those wanting pre-calculated risk management levels Customization All parameters are adjustable: EMA periods MACD settings RSI thresholds ADX minimum ATR multipliers Session times Visual preferences This indicator is designed to be conservative — it waits for strong confirmation before signaling, which means fewer but potentially higher-quality trades.
Pine Script® indicator
by elivgorelick
EMA Candle ColorEMA Candle Color - Visual EMA-Based Candle Coloring System Overview: This indicator provides a visual approach to trend identification by coloring candles based on their relationship with an Exponential Moving Average (EMA). The script dynamically colors both the candle bars and plots custom candles to give traders an immediate visual representation of price momentum relative to the EMA. How It Works: The indicator calculates an EMA based on your chosen source (default: open price) and length (default: 10 periods). It then applies a simple yet effective rule: When the source price is ABOVE the EMA → Candles turn GREEN (bullish) When the source price is BELOW the EMA → Candles turn RED (bearish) This instant visual feedback helps traders quickly identify: Current trend direction Potential support/resistance levels (the EMA line itself) Momentum shifts when candles change color Key Features: Customizable EMA Parameters: Adjust the EMA length (1-500) and source (open, close, high, low, hl2, hlc3, ohlc4) Custom Color Selection: Choose your preferred bullish and bearish colors to match your chart theme Dual Visualization: Both bar coloring and custom plotcandle for enhanced visibility Offset Capability: Shift the EMA line forward or backward for advanced analysis Clean Design: Minimal overlay that doesn't clutter your chart How to Use: 1. Add the indicator to your chart 2. Adjust the EMA Length based on your trading timeframe: - Shorter periods (5-20) for day trading and scalping - Medium periods (20-50) for swing trading - Longer periods (50-200) for position trading 3. Watch for candle color changes as potential entry/exit signals 4. Combine with other indicators for confirmation Trading Applications: Trend Following: Stay in trades while candles remain the same color Reversal Signals: Watch for color changes as early reversal warnings Filter System: Only take long positions during green candles, shorts during red Visual Clarity: Quickly assess market sentiment at a glance Settings: Length: EMA calculation period (default: 10) Source: Price data used for EMA calculation (default: open) Offset: Shift EMA line on chart (default: 0) Bullish Color: Color for candles above EMA (default: green) Bearish Color: Color for candles below EMA (default: red) Technical Details: The script uses Pine Script v6 and employs the standard ta.ema() function for smooth, responsive EMA calculations. The candle coloring is achieved through both barcolor() and plotcandle() functions, ensuring visibility across different chart settings. Note: This indicator works on all timeframes and instruments. For best results, combine with proper risk management and additional confirmation indicators. The EMA Candle Color system is designed to simplify trend identification, not as a standalone trading system. Tips: Use on higher timeframes for more reliable signals Combine with volume analysis for confirmation Consider using multiple EMA periods for confluence Disable default candles if using the plotcandle feature to avoid overlap This script is open-source. Feel free to use it as a foundation for your own trading system or modify it to suit your specific trading style.
Pine Script® indicator
by agatarigan
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically. This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity. Key Features Automatically adjusts to your chart’s local timezone Highlights Asian, London, and New York sessions with clean color zones Works on all timeframes and asset classes Ideal for Smart Money Concepts (SMC), ICT, and price action strategies Helps identify range breakouts, session highs/lows, and liquidity grabs How It Works Each session box updates in real time to show the current range as the market develops. The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions. Sessions (default times): Asian: 17:00 – 03:00 London: 02:00 – 11:00 New York: 07:00 – 16:00 How to Use Add the indicator to your chart. Ensure your chart timezone matches your local time in chart settings. Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York). Created by FOREXSOM Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
Pine Script® indicator
by FOREXSOM
DAMMU CANDEL TYPE🧩 Overview Detects multiple bullish and bearish candlestick patterns. Plots visual buy/sell signals and labels on chart. Sends alerts when patterns appear. Shows table of enabled/disabled patterns. ✅ Main Features Bullish patterns: Hammer, Inverted Hammer, Bullish Engulfing, Morning Star, Piercing, Dragonfly Doji. Bearish patterns: Hanging Man, Shooting Star, Bearish Engulfing, Evening Star, Dark Cloud, Gravestone Doji. Visuals: Green/red arrows and labels. Alerts: Optional alerts for bullish/bearish signals. Table: Shows active pattern status. ⚙️ Improvements Suggested Move table.new outside if block to prevent recreation every bar. Adjust label position to avoid overlap. Add “signal strength” (count multiple patterns same bar). Add MA confirmation for better accuracy. Upgrade to Pine Script v6 for better performance.
Pine Script® indicator
by dammucool
Volume Reversal Candle✅ This script is clean and fully functional — it highlights volume-based reversal zones using both color and labels directly on the main chart. This indicator detect potential reversal points where price forms a local high/low together with a volume spike. Reversal Zone: Bullish = candle closes green, is at local lowest low. Bearish = candle closes red, is at local highest high. 🔔 Alerts You can set TradingView alerts using: 📈 Bullish Volume Reversal 📉 Bearish Volume Reversal They’ll trigger when such reversals occur on bar close. 💡 Visuals on Chart Candle color: Green (bullish) / Red (bearish) when reversal detected. Text labels: “Bullish Volume” or “Bearish Volume.” Marker arrows: ▲ for bulls below bar, ▼ for bears above bar. Everything appears on the main chart, not in a separate pane.
Pine Script® indicator
by aganac3
1
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx Overview The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways. Regardless of the concept or trading school, those who have rules win. In this indicator, we will define and use three main sections to set and apply our rules. The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume. Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu. From the menu, you can select the following reference levels: • HTF Open: Opening candle of the higher timeframe • ATH / ATL: All-Time High / All-Time Low candles • PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows • MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows Additionally, it includes: • Mitigation / Order Block zones (local buyer-seller balance) across two timeframes. • Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels). ________________________________________ Components and Usage 1 – VWAP Calculated using the classical method: • High + Volume for the upper value • Close + Volume for the middle value • Low + Volume for the lower value The VWAP is displayed as a colored band, where the coloring represents the bias. Let’s call this band FVB (Fair Value Band) for ease of explanation. The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels. Within this critical area, the strong side continues its move, while the weaker side is forced to retreat. But does the side that breaks beyond the band always keep going? We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times. To achieve more consistent analysis, we’ll define a new set of rules. ________________________________________ 2 – Mitigation / Order Blocks In trading literature, there are dozens of different definitions and uses of mitigation or order blocks. Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern. For simplicity, let’s abbreviate mitigation as “mtg.” For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart. ________________________________________ Bullish mtg criteria: 1. The first candle must be bullish (close > open) → buyers are strong. 2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react. It also must not break the previous low → buyers defend. 3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed. When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again. If the low is violated, the mtg becomes invalid. In technical terms: If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low. Question: What if the low is protected and in the next candle(s) a new high forms? Answer: → Bullish mtg. Bearish mtg (opposite) 3 – Buy/Sell Side Liquidity Levels With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly. Let’s put the pieces together. If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement. We will determine this bias using the FVB. Since we know the band often gets violated on both sides, we want the price action to convince us of its strength. To do that, we’ll use the first candle that closes beyond the band. The distance from that candle’s high to low will be our threshold range Bullish level = high + (candle length × coefficient) Bearish level = low - (candle length × coefficient) When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction. How long will this bias remain valid? → Until a closing candle appears on the opposite side of the band. If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken. During the period in between, we have no bias. Let’s continue on the chart: Now that our bias has been established, where and how do we look for trade opportunities? There are two possible entry approaches: • Aggressive entry: Enter immediately with the breakout. • Conservative entry: Wait for a pullback and enter once a suitable structure forms. (The choice depends on the user’s preference.) At this stage, the user can apply their own entry model. Let’s give an example: Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation. Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal. In summary: • FVB defines the bias, the entry zone, and the target zone. • Mtg blocks represent entry zones. • BSL / SSL levels suggest target zones. Overlapping FVB and mtg blocks are expected to be more effective. The indicator also provides an option for a second FVB. A band attached to a lower timeframe can be used as confirmation. • Main band: Bias + FVB • Extra band: Entry trigger confirmed by a close beyond it. Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow). Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering. Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective. Settings: The default values are set to 1-3-5m, optimized for scalping trades. VWAP settings: Main VWAP (FVB): • Can be set by selecting a start time, manually entering date and time, or choosing a predefined level. Extra VWAP (FVB): • Set from the menu. If not needed, select “none.” • Visibility, color, and fill settings for VWAP are located here. • Threshold levels visibility and color options are also in this section. • The multiplier is used for calculating the threshold level. Important: • If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe. o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly. • Upper limits for VWAP: o 1m and 3m charts: daily High/Low o 5m chart: weekly High/Low ________________________________________ Mtg Settings: • Visibility and color settings for blocks are configured here. • To display on a second timeframe, the box must be checked and the timeframe specified. • Optional display modes: “only active blocks,” “only last violated mtg,” or “all.” • For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions. BSL/SSL Settings: • Visibility, color, font size, and line style can be configured in this section. When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe. Final Words: Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run. I would be happy to hear your feedback and suggestions. Happy trading!
Pine Script® indicator
by cdikici71
13
TwinPulse Q Lead SPY x QQQ Intermarket Pulse 1HTwinPulse Q Lead is a concise one hour indicator for SPY and QQQ that converts three sources of market information into a single pulse line, a mode readout with BUY SELL WAIT, and compact alerts. It blends intermarket leadership between QQQ and SPY, intraday flow from the slope of session VWAP, and where the current price sits inside the regular trading hours range. The three components are normalized, fused, compressed to a stable range, and smoothed for clear thresholds. The aim is a readable intraday regime signal that helps you decide when to participate and when to stand aside. The script is built with Pine v6, uses request security with lookahead off, and does not repaint. It is an indicator, not a strategy. It does not contain any solicitation, links, or outside references. The description is self contained and explains both logic and use so that any trader can understand the design without reading code. What makes this original and useful Intermarket leadership is measured directly from QQQ and SPY on your working timeframe using a Z score of the return spread. When growth is leading value heavy large caps, leadership turns positive. When it lags, leadership turns negative. This gives a real time read of the Nasdaq versus S and P tug of war that most day traders watch informally. Intraday flow is taken from the slope of the session VWAP. A linear regression of VWAP over a short window captures whether value is rising or falling inside the day. Dividing by ATR normalizes slope by typical movement so that the signal is comparable across weeks. Session position places price inside the current regular hours high to low. It answers whether the day is trading in the top half, the bottom half, or the middle. This is a simple but powerful context filter for breakouts and fades. The three components are fused into one pulse, compressed with either hyperbolic tangent or softsign to keep values bounded, and then smoothed by a short EMA. This yields a stable range with a zero line so the eye can read shifts quickly. The panel shows a human readable mode with reasons and a strength score. Traders who do not want to read lines can rely on a simple state and a compact justification that explains why the state is set. This is not a mashup that simply overlays unrelated indicators. Each component was chosen to answer a distinct question that is common to SPY and QQQ intraday decision making. Leadership answers who is in charge, flow answers whether value inside the session is building or leaking, and position answers if price is pressing the extremes or circling the middle. The pulse ties the three together and prevents any single component from dominating. How the calculations work Leadership. Compute a short rate of change for SPY and QQQ. Subtract SPY from QQQ to get spread returns, then compute a rolling Z score over a longer window. Positive values mean QQQ is leading. Negative values mean SPY is leading. Flow. Compute session VWAP on the active symbol. Regress VWAP over a short window to obtain a slope estimate. Divide by ATR to scale slope by current volatility so that a small rise on a quiet day is not treated the same as a small rise on a wild day. Position. Track the highest high and lowest low since the start of regular hours. Place the current close inside that range on a zero to one scale, then recenter to a minus one to plus one scale. Positive means the top half of the day, negative means the bottom half. Fusion. Multiply each component by a weight so users can emphasize or de emphasize leadership, flow, or position. Sum to a raw pulse. Compression. Pass the raw pulse through a bounded function. Hyperbolic tangent is smooth and has natural saturation near the extremes. Softsign is faster and behaves like a smoother version of sign near zero. Compression avoids unbounded excursions and makes thresholds meaningful across days. Smoothing. Apply a short EMA to the compressed pulse to reduce noise. This creates the main line called TwinPulse in the plot. Thresholds. You can use static symmetric levels or adaptive levels. The adaptive option computes a mean and a standard deviation of the smoothed pulse over a user window, then sets upper and lower thresholds as mean plus or minus sigma times standard deviation. This allows thresholds to adjust across regimes. Static levels are still available for traders who want repeatable levels. Events and mode. A long event fires when the smoothed pulse crosses the upper threshold with positive flow and any optional filters agree. A short event fires on the symmetric condition. The mode reads the current state rather than fire and forget. It returns BUY when the smoothed pulse is above the upper threshold with positive flow, SELL when the smoothed pulse is below the lower threshold with negative flow, otherwise WAIT. A cooldown controls how often events can fire so alerts do not spam during choppy periods. Inputs and default values The script ships with defaults chosen for SPY and QQQ on one hour charts. Symbols. SPY and QQQ by default. You can switch to any pair. Many users may test IWM versus SPY for small cap reads. Regular hours selector. On by default. This restricts the position factor to New York regular hours. Turn it off if you prefer full session behavior. ROC length is three bars. Z score length is fifty bars. VWAP slope window is ten bars. ATR length is fourteen bars. Pulse smoothing length is three bars. Compression mode. Choose hyperbolic tangent or softsign. Hyperbolic tangent is default. Weights. Leadership and flow are one by default. Position is set to zero point seven to give a modest influence to where price sits inside the day. Thresholds. Adaptive thresholds are on by default with a lookback of one hundred bars and a sigma width of zero point eight. Static levels at plus or minus zero point six are ready if you disable adaptive mode. Filters. ADX filter is off by default. If you enable it, the script requires ADX above a user minimum before it will signal. Higher time frame confirmation is off by default. When enabled it compares the smoothed pulse on the confirm timeframe to zero and requires alignment for longs or shorts. Cooldown. Three bars by default so that alerts do not trigger too frequently. UI. Bar coloring is on by default. The panel is on by default and sits at the top right. All request security calls use lookahead off and will not request future data. All persistent state variables are assigned in a way that prevents repainting. The indicator does not use non standard chart types in its logic. How to use the indicator Load a one hour chart of SPY or QQQ. Keep a clean chart so that the script output is easy to read. Turn on regular hours if you want the session position to reflect the cash session. This is recommended for SPY and QQQ. Watch the panel. Mode reads BUY or SELL or WAIT. The strength value is a simple vote based score that ranges from zero to one hundred. It counts leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. You can use strength to filter weak states. Consider action only when mode is BUY or SELL and the signal has not just fired on the last bar. The triangles mark where an event fired. Alerts use the same logic as the events. WAIT means stand aside. To slow the system, enable ADX and set a higher minimum or enable higher time frame confirmation. To speed it up, disable the filters, disable adaptive thresholds, or tighten the sigma width. When publishing, use a clean chart with only this indicator. Show the symbol and timeframe clearly and make sure the plot legend is visible. If you add drawings on the chart, only include ones that help readers understand the output. Publication notes and compliance This description is written in English. The title uses ASCII and only uses capital letters for common abbreviations. The script is original and explains how and why the components work together. There are no links or promotional material. The script does not claim performance. It does not use lookahead. The panel and alerts exist to help a human read and act with discipline. The indicator can be published as open source or as protected. If you choose protected, the description still allows readers to understand how the logic works without access to the code. If you later convert the logic into a strategy for publication, use realistic commission and slippage, risk no more than a small share of equity per trade, and choose a dataset that yields a large enough sample. Explain any deviations from these default recommendations in your strategy description. Do not publish results from non standard chart types since they can mislead readers on signal timing. Limitations and risks Intermarket leadership is a relative measure. There are hours when both SPY and QQQ fall while leadership remains positive. Treat leadership as a context, not a stand alone trigger. VWAP slope is a path measure inside the session. It can flip several times on a choppy day. That is why the script uses a short smoothing and an optional cooldown. Use ADX or higher time frame confirmation to avoid the worst chop. Session position assumes a meaningful regular hours range. On half days or around openings with gaps the position factor can be less informative. If this bothers you, reduce the weight of position or turn it off. Compression and smoothing introduce lag by design. The goal is stability and clarity. If you want earlier but noisier signals, reduce smoothing and weights, and use static thresholds. No indicator guarantees future results. TwinPulse Q Lead is a decision aid. It should be combined with your risk rules, position size policy, and a clear exit plan. Past behavior is not a promise for the future. Frequently asked questions What symbols are supported. Any symbol can be used as the chart symbol. Leadership uses the two user symbols which default to SPY and QQQ. Many traders may try IWM versus SPY or DIA versus SPY. Can I change the timeframe. Yes, but the design target is one hour. On very short timeframes the VWAP slope becomes very sensitive and you should consider stronger filters. Does the script repaint. No. It uses request security with lookahead off and the panel updates on the last bar only. Events are based on bar close conditions unless you attach alerts on any alert function call which will still respect the logic without looking into the future. How are the strength numbers built. The strength score is the share of aligned votes across leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. A value near one hundred means many filters agree. A value near fifty means partial alignment. It is not a probability or an accuracy number. Can I use non standard chart types. You can view the indicator on them but do not publish signals from non standard chart types because that can mislead readers about timing. Use classic candles or bars when you publish and when you test. Why do I sometimes see BUY but the price is not moving. A BUY mode requires pulse above the upper threshold and positive flow. It does not require higher highs immediately. Treat BUY as a permission to look for entries using your own execution rules.
Pine Script® indicator
by exlux