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Sync Frame (MTF Charts) [Kioseff Trading]Hello! This indicator "Sync Frame" displays various lower timeframe charts for the asset on your screen! 5 lower timeframe candle charts shown Timeframes auto-calculated using the new timeframe.from_seconds() function Heikin-Ashi candles available Baseline chart type available Dynamic Scaling for ease of use User customizable timeframes Simple script (: The image above shows the baseline chart type. Time image above shows a traditional candlestick chart. The image above shows a hekin-ashi chart. The image above shows the indicator when nearly zoomed in as much as possible. The lower timeframe charts adjust to my chart positioning. The image above shows my screen fully zoomed out; the lower timeframe charts adjust in both height and width to accommodate my chart positioning! Thank you for checking this out (:
Indicatore Pine Script®
di KioseffTrading
33
BarbwireThis indicator looks for where market momentum is waning. It uses Heikin-Ahi for that. Heikin-Ashi averages the Open and Close prices, so the entity is not compressed as often as candles. Using this characteristic, the continued compression of the entity is indicated as a decline in the market. Settings: Period - The degree of compression is calculated as a stochastic-like percentage. Specify the period to be used for the calculation. Level (%) - If it is smaller than this number, it is assumed to be compressed. Minimum period - The agreement shall be valid if it has been continued for at least this period.
Indicatore Pine Script®
di boitoki
5
MACD Trend CandlesThe script combines 2 indicators (MACD and Stoch-RSI) and puts them visually directly on the candles - can be used with normal OHLC candles or Heiken Ashi candles. Furthermore, you can derive divergences exremely easy directly visually from the candles as well. Lastly, a SMA 20 high and a SMA 20 low line build a trend channel. Script is best used in trending markets to trade with the trend. 1) SMA trend channel: * uptrend: close above * downtrend: close below * aggressive entry (uptrend) closing inside channel from below * conservative entry (uptrend) closing above channel from inside * hold (uptrend) until close below channel * can be used accordingly for the downtrend 2) MACD candles * visualization of the MACD histogram directly on the candles * dark blue: histogram > 0 and histogram > histogram of previous candle * light blue: histogram > 0 and histogram < histogram of previous candle * orange: histogram < 0 and histogram < histogram of previous candle * light blue: histogram < 0 and histogram > histogram of previous candle * hold uptrend (dark/light blue candles) - combined with trend channel (above channel) * hold downtrend (orange /yellow candles) - combined with trend channel (below channel) * Color divergence: light blue candle > dark blue candle (price and MACD show divergence (bearish) * Color divergence: yellow candle < orange candle (price and MACD show divergence (bullish) * Trend change (0 line cross to upside) yellow or orange to dark blue * Trend change (0 line cross to downside) dark or light blue to orange 3) Stoch RSI diamonds * visualization of the STOCH-RSI as diamonds above or below the candle * k, d line > 80: diamond above the candle * k, d line < 20: diamond below the candle * divergence caldle without diamond above > candle with diamond above (bearish divergence) * divergence caldle without diamond below < candle with diamond below (bullish divergence) Feel free to test each part individually and combine it with other indicators, e.g. BBands and Ichimoku Cloud - you will see it is a powerful visualization script HAVE FUN
Indicatore Pine Script®
di Waldmensch
3
CSRS v2Candlesticked RSI v2 for price action traders! See the True Momentum. 6 chart type, smooth RSI , add signal lines, find divergences, special alerts This is 2nd version with major upgrade Improved and more powerful fully customizable. features: See RSI in 6 type of chart(Candles, Hollow Candles, Siwi Candles, Heikin Ashi, HL Bar, Line) Monitor Up to 3 RSI , each one at desired resolution, source and length Smooth each one of chart separately to remove noises Add up to 3 signal line to primary chart in your desired source and type( SMA , EMA , WMA , HMA ) Find divergences which has special parameters Gradient color adjustment of line chart Add alert for reaching to important levels and detected divergences
Indicatore Pine Script®
di Algorca
16
Colored Klinger Volume Oscillator (CKVO)This is a color enhanced version of Klinger Volume Oscillator. I specially designed this to get maximum profit from highly volatile coins. This indicator is based on volume. xTrigger (the line) shows if trend is bullish or bearish. It is the average of the area. You can clearly see the trend. xKVO (the area) shows how buy and sell orders change. It rises while buys are increasing against sells, decreases while sells are increasing against buys. The color or the area provides buy and sell signals. Green: buy. Red: sell. Gray: Undecided. Of course there are false signals. You should use other indicators to confirm them. I like to use RSI and Bollinger Bands along with it to eliminate false signals. Also check for double bottom and top, etc. Its wise to check the general direction of coin using a bigger time frame using Heikin Aishi. For example 1W Heikin Ashi if you are trading on 1D. In addition to buy signals the most important indication is divergence with the price. Before a trend change 2 kinds of divergences happen - Trend line moves reverse to the price line - Are a tops moves revers to the price tops. For example while there is a higher price top, there is a lower area top. Then its time to escape. Motivation It is common to suffer from failures while trading highly profitable but volatile coins like NULLS, REP, DLT, LRC, MFT, HOT, OAX, KEY, etc. - Traders sell too early to ensure a profit. Sell at 10% and it goes 200% - Traders buy too early. Traders buy and it drops yet another 50% - Wrong patience. The trader keeps the faith and waits for days for the glorious days. And nothing happens. I believe with this indicator I am able to solve those problems most of the time.
Indicatore Pine Script®
di umur.ozkul
1
mcbw_RSI_candlesAn RSI can have any input, but most commonly used is the closing price. I thought it would be interesting to see if feeding the open high low and close information into the RSI to make RSI candles, if there are candlestick formations that can be recognized or possible patters in wicks. To make it smoother there also is the option to turn the RSI candles into Heiken Ashi form, just check the box labeled HA. The result is an RSI that is easier on the eyes. Happy trading! Remember to not take everything too seriously
Indicatore Pine Script®
di mcbw_
PORSCHE 2.0PORSCHE Trading Indicator - Complete Technical Analysis Suite Overview The PORSCHE indicator is a comprehensive multi-strategy trading tool that combines multiple technical analysis approaches into a single, powerful indicator. It provides traders with a complete market analysis framework including trend identification, support/resistance levels, volume analysis, and session-based trading insights. Core Components 1. Trend Analysis System Multiple EMA Clouds EMA 75 with dynamic cloud based on standard deviation EMA 150 with adaptive cloud boundaries EMA 50 cloud for short-term trend direction Dual Hull Moving Average Bands Hull Band 1 (55-period) for medium-term trends Hull Band 2 (100-period) for long-term trends Color-coded trend direction (Green=Up, Red=Down) Multiple Hull variations available (HMA, EHMA, THMA) 2. Support & Resistance Detection Advanced Swing High/Low System Customizable swing strength (1-5 bars) Real-time swing level detection Option to remove swept liquidity levels Visual distinction between current and past swing levels Alert conditions for breakouts 3. Multi-Timeframe Market Structure Daily High/Low Levels Yesterday's high and low plotted as steplines Visual labels for easy reference Weekly High/Low Levels Previous week's key levels Session-based plotting for relevant timeframes 4. Volume-Based Trading Signals Vector Candle Zones (VCZ) Volume-based candle coloring system Four vector types based on volume spikes: Red Vector: High volume bearish candles Green Vector: High volume bullish candles Violet Vector: Medium volume bearish candles Blue Vector: Medium volume bullish candles Dynamic zone creation based on vector candles Customizable zone transparency and colors 5. Dual Trading Bot Systems UT Bot Alerts ATR-based trailing stop system Buy/Sell signals with label indicators Heikin Ashi option for smoother signals Customizable sensitivity settings Classic UT Bot Alternative ATR trailing stop implementation Color-coded bar system (Green=Bullish, Red=Bearish) Separate alert conditions for flexibility 6. Global Session Tracking Comprehensive Session Detection Asian Session (23:00-06:00 UTC) Sydney Session (23:00-05:00 UTC) Tokyo Session (00:00-06:00 UTC) European Session (07:00-16:30 UTC) London Session (08:00-16:30 UTC) New York Session (13:00-22:00 UTC) NYSE Session (14:30-22:00 UTC) Session Features Real-time session status table High/Low detection within each session Visual boxes and labels for session ranges Color-coded session identification Key Features Visual Customization Fully customizable colors for all components Adjustable line thickness and styles Transparency controls for clouds and zones Flexible label positioning and styling Alert System Swing level breakouts UT Bot buy/sell signals Multiple alert conditions for different strategies Customizable alert messages Multi-Timeframe Compatibility Higher timeframe Hull MA options Automatic adaptation to chart timeframe Session-based filtering for relevant levels Performance Optimization Configurable maximum objects (boxes, lines, labels) Efficient memory management Real-time calculation updates Trading Applications Trend Following Use EMA clouds and Hull bands for trend direction Trade in direction of multiple timeframe alignment Utilize cloud boundaries as dynamic support/resistance Breakout Trading Monitor swing level breaks for momentum entries Use volume vectors to confirm breakout validity Combine with session highs/lows for key level breaks Mean Reversion Trade bounces from EMA clouds and Hull bands Use swing levels as reversal zones Session-based range trading opportunities Volume Analysis Identify institutional activity through vector candles Use volume zones for confluence with price levels Gauge market sentiment through candle coloring Input Parameters The indicator offers extensive customization through input parameters grouped by functionality: EMA and cloud settings Hull MA configurations Swing detection parameters Volume vector thresholds Session time configurations Visual styling options Compatibility Platform: TradingView Version: Pine Script v5 Timeframes: All (optimized for 1H and above) Markets: Forex, Stocks, Crypto, Futures Unique Value Proposition The PORSCHE indicator stands out by integrating multiple proven trading methodologies into a cohesive system, eliminating the need for multiple separate indicators and providing traders with a unified market analysis tool that covers trend, momentum, volume, and session-based analysis simultaneously. This comprehensive approach allows traders to make informed decisions with multiple confluences, reducing false signals and improving overall trading performance.
Indicatore Pine Script®
di OctopusTrader2830
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.
Indicatore Pine Script®
di DCAUT
MILLION MEN — Smart ZonesMILLION MEN — Smart Zones What it is A smart, structure-based Support/Resistance indicator that automatically anchors dynamic Smart Zones from the latest confirmed swing high and low. It identifies two adaptive regions — the Premium Zone near swing highs and the Discount Zone near swing lows — with an optional 50% equilibrium line for balanced price analysis. How it works (high-level) Confirmed swings: Uses ta.pivothigh and ta.pivotlow with adaptive or manual lookback. Smart pairing: When both recent pivots are confirmed, the script anchors a new pair and builds zones based on that range. Dynamic zones: Discount Zone: Bottom portion of the range (e.g., 25%). Premium Zone: Top portion of the range. Midline: Optional 50% equilibrium; can extend right. Lifecycle control: Zones auto-update as new highs/lows appear. Option to re-anchor when a new swing pair forms. Option to auto-expire after a set number of bars for clean charts. Color scheme: Green = Discount Zone Fuchsia = Premium Zone Gray = Midline How to use Works well on 5m–1H for intraday, or 4H–1D for swing. Use the Discount Zone for long bias setups and the Premium Zone for short bias confirmations. Combine with your preferred momentum, VWAP, or volume tools for confluence. Adjust Zone Depth % and Auto-expire depending on your timeframe. Originality & value Unlike static S/R indicators, Smart Zones evolve with price structure — re-anchoring on new swing formations while maintaining clarity and balance. Its confirmed-pivot logic avoids repainting and produces professional, non-cluttered charts for precision trading. Limitations & transparency Pivots confirm with delay equal to pivot length; this prevents repaint. Results differ by asset and volatility regime. Non-standard chart types (Heikin-Ashi, Renko, Range) are not supported. This script provides analytical guidance, not financial advice.
Indicatore Pine Script®
di MILLION_MEN
Dominant DATR [CHE] Dominant DATR — Directional ATR stream with dominant-side EMA, bands, labels, and alerts Summary Dominant DATR builds two directional volatility streams from the true range, assigns each bar’s range to the up or down side based on the sign of the close-to-close move, and then tracks the dominant side through an exponential average. A rolling band around the dominant stream defines recent extremes, while optional gradient coloring reflects relative magnitude. Swing-based labels mark new higher highs or lower lows on the dominant stream, and alerts can be enabled for swings, zero-line crossings, and band breakouts. The result is a compact pane that highlights regime bias and intensity without relying on price overlays. Motivation: Why this design? Conventional ATR treats all range as symmetric, which can mask directional pressure, cause late regime shifts, and produce frequent false flips during noisy phases. This design separates the range into up and down contributions, then emphasizes whichever side is stronger. A single smoothed dominant stream clarifies bias, while the band and swing markers help distinguish continuation from exhaustion. Optional normalization by close makes the metric comparable across instruments with different price scales. What’s different vs. standard approaches? Reference baseline: Classic ATR or a basic EMA of price. Architecture differences: Directional weighting of range using positive and negative close-to-close moves. Separate moving averages for up and down contributions combined into one dominant stream. Rolling highest and lowest of the dominant stream to form a band. Optional normalization by close, window-based scaling for color intensity, and gamma adjustment for visual contrast. Event logic for swing highs and lows on the dominant stream, with label buffering and pruning. Configurable alerts for swings, zero-line crossings, and band breakouts. Practical effect: You see when volatility is concentrated on one side, how strong that bias currently is, and when the dominant stream pushes through or fails at its recent envelope. How it works (technical) Each bar’s move is split into an up component and a down component based on whether the close increased or decreased relative to the prior close. The bar’s true range is proportionally assigned to up or down using those components as weights. Each side is smoothed with a Wilder-style moving average. The dominant stream is the side with the larger value, recorded as positive for up dominance and negative for down dominance. The dominant stream is then smoothed with an exponential moving average to reduce noise and provide a responsive yet stable signal line. A rolling window tracks the highest and lowest values of the dominant EMA to form an envelope. Crossings of these bounds indicate unusual strength or weakness relative to recent history. For visualization, the absolute value of the dominant EMA is scaled over a lookback window and passed through a gamma curve to modulate gradient intensity. Colors are chosen separately for up and down regimes. Swing events are detected by comparing the dominant EMA to its recent extremes over a short lookback. Labels are placed when a prior bar set an extreme and the current bar confirms it. A managed array prunes older labels when the user-defined maximum is exceeded. Alerts mirror these events and also include zero-line crossings and band breakouts. The script does not force closed-bar confirmation; users should configure alert execution timing to suit their workflow. There are no higher-timeframe requests and no security calls. State is limited to simple arrays for labels and persistent color parameters. Parameter Guide Parameter — Effect — Default — Trade-offs/Tips ATR Length — Smoothing of directional true range streams — fourteen — Longer reduces noise and may delay regime shifts; shorter increases responsiveness. EMA Length — Smoothing of the dominant stream — twenty-five — Lower values react faster; higher values reduce whipsaw. Band Length — Window for recent highs and lows of the dominant stream — ten — Short windows flag frequent breakouts; long windows emphasize only exceptional moves. Normalize by Close — Divide by close price to produce a percent-like scale — false — Useful across assets with very different price levels. Enable gradient color — Turn on magnitude-based coloring — true — Visual aid only; can be disabled for simplicity. Gradient window — Lookback used to scale color intensity — one hundred — Larger windows stabilize the color scale. Gamma (lines) — Adjust gradient intensity curve — zero point eight — Lower values compress variation; higher values expand it. Gradient transparency — Transparency for gradient plots — zero, between zero and ninety — Higher values mute colors. Up dark / Up neon — Base and peak colors for up dominance — green tones — Styling only. Down dark / Down neon — Base and peak colors for down dominance — red tones — Styling only. Show zero line / Background tint — Visual references for regime — true and false — Background tint can help quick scanning. Swing length — Bars used to detect swing highs or lows — two — Larger values demand more structure. Show labels / Max labels / Label offset — Label visibility, cap, and vertical offset — true, two hundred, zero — Increase cap with care to avoid clutter. Alerts: HH/LL, Zero Cross, Band Break — Toggle alert rules — true, false, false — Enable only what you need. Reading & Interpretation The dominant EMA above zero indicates up-side dominance; below zero indicates down-side dominance. Band lines show recent extremes of the dominant EMA; pushes through the band suggest unusual momentum on the dominant side. Gradient intensity reflects local magnitude of dominance relative to the chosen window. HH/LL labels appear when the dominant stream prints a new local extreme in the current regime and that extreme is confirmed on the next bar. Zero-line crosses suggest regime flips; combine with structure or filters to reduce noise. Practical Workflows & Combinations Trend following: Consider entries when the dominant EMA is on the regime side and expands away from zero. Band breakouts add confirmation; structure such as higher highs or lower lows in price can filter signals. Exits and stops: Tighten exits when the dominant stream stalls near the band or fades toward zero. Opposite swing labels can serve as early caution. Multi-asset and multi-timeframe: Works across liquid assets and common timeframes. For lower noise instruments, reduce smoothing slightly; for high noise, increase lengths and swing length. Behavior, Constraints & Performance Repaint and confirmation: No security calls and no future-looking references. Swing labels confirm one bar later by design. Real-time crosses can change intra-bar; use bar-close alerts if needed. Resources: `max_bars_back` is two thousand. The script uses an array for labels with pruning, gradient color computations, and a simple while loop that runs only when the label cap is exceeded. Known limits: The EMA can lag at sharp turns. Normalization by close changes scale and may affect thresholds. Extremely gappy data can produce abrupt shifts in the dominant side. Sensible Defaults & Quick Tuning Starting point: ATR Length fourteen, EMA Length twenty-five, Band Length ten, Swing Length two, gradient enabled. Too many flips: Increase EMA Length and swing length, or enable only swing alerts. Too sluggish: Decrease EMA Length and Band Length. Inconsistent scales across symbols: Enable Normalize by Close. Visual clutter: Disable gradient or reduce label cap. What this indicator is—and isn’t This is a volatility-bias visualization and signal layer that highlights directional pressure and intensity. It is not a complete trading system and does not produce position sizing or risk management. Use it with market structure, context, and independent risk controls. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
Hour/Day/Month Optimizer [CHE] Hour/Day/Month Optimizer — Bucketed seasonality ranking for hours, weekdays, and months with additive or compounded returns, win rate, simple Sharpe proxy, and trade counts Summary This indicator profiles time-of-day, day-of-week, and month-of-year behavior by assigning every bar to a bucket and accumulating its return into that bucket. It reports per-bucket score (additive or compounded), win rate, a dispersion-aware return proxy, and trade counts, then ranks buckets and highlights the current one if it is best or worst. A compact on-chart table shows the top buckets or the full ranking; a last-bar label summarizes best and worst. Optional hour filtering and UTC shifting let you align buckets with your trading session rather than exchange time. Motivation: Why this design? Traders often see repetitive timing effects but struggle to separate genuine seasonality from noise. Static averages are easily distorted by sample size, compounding, or volatility spikes. The core idea here is simple, explicit bucket aggregation with user-controlled accumulation (sum or compound) and transparent quality metrics (win rate, a dispersion-aware proxy, and counts). The result is a practical, legible seasonality surface that can be used for scheduling and filtering rather than prediction. What’s different vs. standard approaches? Reference baseline: Simple heatmaps or average-return tables that ignore compounding, dispersion, or sample size. Architecture differences: Dual aggregation modes: additive sum of bar returns or compounded factor. Per-bucket win rate and trade count to expose sample support. A simple dispersion-aware return proxy to penalize unstable averages. UTC offset and optional custom hour window. Deterministic, closed-bar rendering via a lightweight on-chart table. Practical effect: You see not only which buckets look strong but also whether the observation is supported by enough bars and whether stability is acceptable. The background tint and last-bar label give immediate context for the current bucket. How it works (technical) Each bar is assigned to a bucket based on the selected dimension (hour one to twenty-four, weekday one to seven, or month one to twelve) after applying the UTC shift. An optional hour filter can exclude bars outside a chosen window. For each bucket the script accumulates either the sum of simple returns or the compounded product of bar factors. It also counts bars and wins, where a win is any bar with a non-negative return. From these, it derives: Score: additive total or compounded total minus the neutral baseline. Win rate: wins as a percentage of bars in the bucket. Dispersion-aware proxy (“Sharpe” column): a crude ratio that rises when average return improves and falls when variability increases. Buckets are sorted by a user-selected key (score, win rate, dispersion proxy, or trade count). The current bar’s bucket is tinted if it matches the global best or worst. At the last bar, a table is drawn with headers, an optional info row, and either the top three or all rows, using zebra backgrounds and color-coding (lime for best, red for worst). Rendering is last-bar only; no higher-timeframe data is requested, and no future data is referenced. Parameter Guide UTC Offset (hours) — Shifts bucket assignment relative to exchange time. Default: zero. Tip: Align to your local or desk session. Use Custom Hours — Enables a local session window. Default: off. Trade-off: Reduces noise outside your active hours but lowers sample size. Start / End — Inclusive hour window one to twenty-four. Defaults: eight to seventeen. Tip: Widen if rankings look unstable. Aggregation — “Additive” sums bar returns; “Multiplicative” compounds them. Default: Additive. Tip: Use compounded for long-horizon bias checks. Dimension — Bucket by Hour, Day, or Month. Default: Hour. Tip: Start Hour for intraday planning; switch to Day or Month for scheduling. Show — “Top Three” or “All”. Default: Top Three. Trade-off: Clarity vs. completeness. Sort By — Score, Win Rate, Sharpe, or Trades. Default: Score. Tip: Use Trades to surface stable buckets; use Win Rate for skew awareness. X / Y — Table anchor. Defaults: right / top. Tip: Move away from price clusters. Text — Table text size. Default: normal. Light Mode — Light palette for bright charts. Default: off. Show Parameters Row — Info header with dimension and span. Default: on. Highlight Current Bucket if Best/Worst — Background tint when current bucket matches extremes. Default: on. Best/Worst Barcolor — Tint colors. Defaults: lime / red. Mark Best/Worst on Last Bar — Summary label on the last bar. Default: on. Reading & Interpretation Score column: Higher suggests stronger cumulative behavior for the chosen aggregation. Compounded mode emphasizes persistence; additive mode treats all bars equally. Win Rate: Stability signal; very high with very low trades is unreliable. “Sharpe” column: A quick stability proxy; use it to down-rank buckets that look good on score but fluctuate heavily. Trades: Sample size. Prefer buckets with adequate counts for your timeframe and asset. Tinting: If the current bucket is globally best, expect a lime background; if worst, red. This is context, not a trade signal. Practical Workflows & Combinations Trend following: Use Hour or Day to avoid initiating trades during historically weak buckets; require structure confirmation such as higher highs and higher lows, plus a momentum or volatility filter. Mean reversion: Prefer buckets with moderate scores but acceptable win rate and dispersion proxy; combine with deviation bands or volume normalization. Exits/Stops: Tighten exits during historically weak buckets; relax slightly during strong ones, but keep absolute risk controls independent of the table. Multi-asset/Multi-TF: Start with Hour on liquid intraday assets; for swing, use Day. On monthly seasonality, require larger lookbacks to avoid overfitting. Behavior, Constraints & Performance Repaint/confirmation: Calculations use completed bars only; table and label are drawn on the last bar and can update intrabar until close. security()/HTF: None used; repaint risk limited to normal live-bar updates. Resources: Arrays per dimension, light loops for metric building and sorting, `max_bars_back` two thousand, and capped label/table counts. Known limits: Sensitive to sample size and regime shifts; ignores costs and slippage; bar-based wins can mislead on assets with frequent gaps; compounded mode can over-weight streaks. Sensible Defaults & Quick Tuning Start: Hour dimension, Additive, Top Three, Sort by Score, default session window off. Too many flips: Switch to Sort by Trades or raise sample by widening hours or timeframe. Too sluggish/over-smoothed: Switch to Additive (if on compounded) or shorten your chart timeframe while keeping the same dimension. Overfit risk: Prefer “All” view to verify that top buckets are not isolated with tiny counts; use Day or Month only with long histories. What this indicator is—and isn’t This is a seasonality and scheduling layer that ranks time buckets using transparent arithmetic and simple stability checks. It is not a predictive model, not a complete trading system, and it does not manage risk. Use it to plan when to engage, then rely on structure, confirmation, and independent risk management for entries and exits. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
SuperTrend Optimizer Remastered[CHE] SuperTrend Optimizer Remastered — Grid-ranked SuperTrend with additive or multiplicative scoring Summary This indicator evaluates a fixed grid of one hundred and two SuperTrend parameter pairs and ranks them by a simple flip-to-flip return model. It auto-selects the currently best-scoring combination and renders its SuperTrend in real time, with optional gradient coloring for faster visual parsing. The original concept is by KioseffTrading Thanks a lot for it. For years I wanted to shorten the roughly two thousand three hundred seventy-one lines; I have now reduced the core to about three hundred eighty lines without triggering script errors. The simplification is generalizable to other indicators. A multiplicative return mode was added alongside the existing additive aggregation, enabling different rankings and often more realistic compounding behavior. Motivation: Why this design? SuperTrend is sensitive to its factor and period. Picking a single pair statically can underperform across regimes. This design sweeps a compact parameter grid around user-defined lower bounds, measures flip-to-flip outcomes, and promotes the combination with the strongest cumulative return. The approach keeps the visual footprint familiar while removing manual trial-and-error. The multiplicative mode captures compounding effects; the additive mode remains available for linear aggregation. Originally (by KioseffTrading) Very long script (~2,371 lines), monolithic structure. SuperTrend optimization with additive (cumulative percentage-sum) scoring only. Heavier use of repetitive code; limited modularity and fewer UI conveniences. No explicit multiplicative compounding option; rankings did not reflect sequence-sensitive equity growth. Now (remastered by CHE) Compact core (~380 lines) with the same functional intent, no compile errors. Adds multiplicative (compounding) scoring alongside additive, changing rankings to reflect real equity paths and penalize drawdown sequences. Fixed 34×3 grid sweep, live ranking, gradient-based bar/wick/line visuals, top-table display, and an optional override plot. Cleaner arrays/state handling, last-bar table updates, and reusable simplification pattern that can be applied to other indicators. What’s different vs. standard approaches? Baseline: A single SuperTrend with hand-picked inputs. Architecture differences: Fixed grid of thirty-four factor offsets across three ATR offsets. Per-combination flip-to-flip backtest with additive or multiplicative aggregation. Live ranking with optional “Best” or “Worst” table output. Gradient bar, wick, and line coloring driven by consecutive trend counts. Optional override plot to force a specific SuperTrend independent of ranking. Practical effect: Charts show the currently best-scoring SuperTrend, not a static choice, plus an on-chart table of top performers for transparency. How it works (technical) For each parameter pair, the script computes SuperTrend value and direction. It monitors direction transitions and treats a change from up to down as a long entry and the reverse as an exit, measuring the move between entry and exit using close prices. Results are aggregated per pair either by summing percentage changes or by compounding return factors and then converting to percent for comparison. On the last bar, open trades are included as unrealized contributions to ranking. The best combination’s line is plotted, with separate styling for up and down regimes. Consecutive regime counts are normalized within a rolling window and mapped to gradients for bars, wicks, and lines. A two-column table reports the best or worst performers, with an optional row describing the parameter sweep. Parameter Guide Factor (Lower Bound) — Starting SuperTrend factor; the grid adds offsets between zero and three point three. Default three point zero. Higher raises distance to price and reduces flips. ATR Period (Lower Bound) — Starting ATR length; the grid adds zero, one, and two. Default ten. Longer reduces noise at the cost of responsiveness. Best vs Worst — Ranks by top or bottom cumulative return. Default Best. Use Worst for stress tests. Calculation Mode — Additive sums percents; Multiplicative compounds returns. Multiplicative is closer to equity growth and can change the leaderboard. Show in Table — “Top Three” or “All”. Fewer rows keep charts clean. Show “Parameters Tested” Label — Displays the effective sweep ranges for auditability. Plot Override SuperTrend — If enabled, the override factor and ATR are plotted instead of the ranked winner. Override Factor / ATR Period — Values used when override is on. Light Mode (for Table) — Adjusts table colors for bright charts. Gradient/Coloring controls — Toggles for gradient bars and wick coloring, window length for normalization, gamma for contrast, and transparency settings. Use these to emphasize or tone down visual intensity. Table Position and Text Size — Places the table and sets typography. Reading & Interpretation The auto SuperTrend plots one line for up regimes and one for down regimes. Color intensity reflects consecutive trend persistence within the chosen window. A small square at the bottom encodes the same gradient as a compact status channel. Optional wick coloring uses the same gradient for maximum contrast. The performance table lists parameter pairs and their cumulative return under the chosen aggregation; positive values are tinted with the up color, negative with the down color. “Long” labels mark flips that open a long in the simplified model. Practical Workflows & Combinations Trend following: Use the auto line as your primary bias. Enter on flips aligned with structure such as higher highs and higher lows. Filter with higher-timeframe trend or volatility contraction. Exits/Stops: Consider conservative exits when color intensity fades or when the opposite line is approached. Aggressive traders can trail near the plotted line. Override mode: When you want stability across instruments, enable override and standardize factor and ATR; keep the table visible for sanity checks. Multi-asset/Multi-TF: Defaults travel well on liquid instruments and intraday to daily timeframes. Heavier assets may prefer larger lower bounds or multiplicative mode. Behavior, Constraints & Performance Repaint/confirmation: Signals are based on SuperTrend direction; confirmation is best assessed on closed bars to avoid mid-bar oscillation. No higher-timeframe requests are used. Resources: One hundred and two SuperTrend evaluations per bar, arrays for state, and a last-bar table render. This is efficient for the grid size but avoid stacking many instances. Known limits: The flip model ignores costs, slippage, and short exposure. Rapid whipsaws can degrade both aggregation modes. Gradients are cosmetic and do not change logic. Sensible Defaults & Quick Tuning Start with the provided lower bounds and “Top Three” table. Too many flips → raise the lower bound factor or period. Too sluggish → lower the bounds or switch to additive mode. Rankings feel unstable → prefer multiplicative mode and extend the normalization window. Visuals too strong → increase gradient transparency or disable wick coloring. What this indicator is—and isn’t This is a parameter-sweep and visualization layer for SuperTrend selection. It is not a complete trading system, not predictive, and does not include position sizing, transaction costs, or risk management. Combine with market structure, higher-timeframe context, and explicit risk controls. Attribution and refactor note: The original work is by KioseffTrading. The script has been refactored from approximately two thousand three hundred seventy-one lines to about three hundred eighty core lines, retaining behavior without compiler errors. The general simplification pattern is reusable for other indicators. Metadata Name/Tag: SuperTrend Optimizer Remastered Pine version: v6 Overlay or separate pane: true (overlay) Core idea/principle: Grid-based SuperTrend selection by cumulative flip returns with additive or multiplicative aggregation. Primary outputs/signals: Auto-selected SuperTrend up and down lines, optional override lines, gradient bar and wick colors, “Long” labels, performance table. Inputs with defaults: See Parameter Guide above. Metrics/functions used: SuperTrend, ATR, arrays, barstate checks, windowed normalization, gamma-based contrast adjustment, table API, gradient utilities. Special techniques: Fixed grid sweep, compounding vs linear aggregation, last-bar UI updates, gradient encoding of persistence. Performance/constraints: One hundred and two SuperTrend calls, arrays of length one hundred and two, label budget, last-bar table updates, no higher-timeframe requests. Recommended use-cases/workflows: Trend bias selection, quick parameter audits, override standardization across assets. Compatibility/assets/timeframes: Standard OHLC charts across intraday to daily; liquid instruments recommended. Limitations/risks: Costs and slippage omitted; mid-bar instability possible; not suitable for synthetic chart types. Debug/diagnostics: Ranking table, optional tested-range label; internal counters for consecutive trends. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
FibPulse144 [CHE] FibPulse144 — ADX-gated 13/21 crossover with 144-trend regime and closed-bar labels Summary FibPulse144 combines a fast moving-average crossover with a 144-period trend regime and an ADX strength gate. Signals are confirmed on closed bars only and drawn as labels on the price chart, while an ADX line in a separate pane provides context. Color gradients are derived from normalized ADX, so visual intensity reflects trend strength without changing the underlying logic. The approach reduces false flips during weak conditions and keeps entries aligned with the dominant trend. Motivation: Why this design? Traditional crossover signals can flip repeatedly during sideways phases and often trigger against the higher-time regime. By requiring alignment with a slower trend proxy and by gating entries through a rising ADX condition, FibPulse144 favors structurally cleaner transitions. Gradient coloring communicates strength visually, helping users temper aggressiveness without additional indicators. What’s different vs. standard approaches? Baseline: Classic dual-MA crossover with unconditional signals. Architecture differences: Two-bar regime confirmation against a 144-period trend average. Pending-signal logic that waits for regime and optional ADX approval. ADX strength gate using the prior reading relative to a user threshold and earlier value. Gradient colors scaled by an ADX window with gamma controls. Price-chart labels enforced via overlay on an otherwise pane-based indicator. Practical effect: Fewer signals during weak or choppy conditions, labels that appear only after a bar closes, and color intensity that mirrors trend quality. How it works (technical) The script computes fast and slow moving averages using the selected method and lengths. A separate 144-length average defines the regime using a two-bar confirmation above or below it. Crossovers are observed on the previous bar to avoid intrabar ambiguity; once a prior crossover is detected, it is stored as pending. A pending long requires regime alignment and, if enabled, an ADX condition based on the previous reading being above the threshold and greater than an earlier reading. The state machine holds neutral, long, or short until an exit condition or ADX reset is met. ADX is normalized within a user window, scaled with gamma, and mapped to up and down color palettes to render gradients. Labels on the price panel are forced to overlay, while the ADX line and threshold guide remain in a separate pane. Parameter Guide Source — Input data for all calculations. Default: close. Tip: keep consistent with your chart. MA Type — EMA or SMA. Default: EMA. EMA reacts faster; SMA is smoother. Fast / Slow — Fast and slow lengths for crossover. Defaults: 13 and 21. Shorter reacts earlier; longer reduces noise. Trend — Regime average length. Default: 144. Larger values stabilize regime; smaller values increase sensitivity. Use 144 as trend filter — Enables regime gating. Default: true. Disable to allow raw crossovers. Use ADX filter — Requires ADX strength. Default: true. Disable to allow signals regardless of strength. ADX Len — DI and ADX smoothing length. Default: 14. Higher values smooth strength; lower values react faster. ADX Thresh — Minimum strength for signals. Default: 25. Raise to reduce flips; lower to capture earlier moves. Entry/Exit labels (price) — Price-panel labels on state changes. Default: true. Signal labels in ADX pane — Small markers at the ADX value on entries. Default: true. Label size — tiny, small, normal, large. Default: normal. Enable barcolor — Optional candle tint by regime and gradient. Default: false. Enable gradient — Turns on ADX-driven color blending. Default: true. Window — Bars used to normalize ADX for colors. Default: 100; minimum: 5. Gamma bars / Gamma plots — Nonlinear scaling for bar and line intensities. Default: 0.80; between 0.30 and 2.00. Gradient transp (0–90) — Transparency for gradient colors. Default: 0. MA fill transparency (0–100) — Fill opacity between fast and slow lines. Default: 65. Palette colors (Up/Down) — Dark and neon endpoints for up and down gradients. Defaults as in the code. Reading & Interpretation Fast/Slow lines: When the fast line is above the slow line, the line and fill use the long palette; when below, the short palette is used. Trend MA (144): Neutral gray line indicating the regime boundary. Labels on price: “LONG” appears when the state turns long; “SHORT” when it turns short. Labels appear only after the bar closes and conditions are satisfied. ADX pane: The ADX line shows current strength. The dotted threshold line is the user level for gating. Optional small markers indicate entries at the ADX value. Bar colors (optional): Candle tint intensity reflects normalized ADX. Higher intensity implies stronger conditions. Practical Workflows & Combinations Trend following: Use long entries when fast crosses above slow and price has held above the trend average for two bars, with ADX above threshold. Mirror this for shorts below the trend average. Exits and stops: Consider reducing exposure when price closes on the opposite side of the trend average for two consecutive bars or when ADX fades below the threshold if the ADX filter is enabled. Structure confirmation: Combine with higher-timeframe structure such as swing highs and lows or a simple market structure overlay for confirmation. Multi-asset/Multi-TF: Works across liquid assets. For lower timeframes, consider a slightly lower ADX threshold; for higher timeframes, maintain or raise the threshold to avoid unnecessary flips. Behavior, Constraints & Performance Repaint/confirmation: Signals are based on previous-bar crossovers and are confirmed on bar close. No higher-timeframe or security calls are used. Intrabar markers are not relied upon. Resources: The script declares `max_bars_back` of 2000, uses no loops or arrays, and employs persistent variables for pending signals and state. Known limits: Crossover systems can lag after sudden reversals. During tight ranges, disabling the ADX filter may increase flips; keeping it enabled may skip early transitions. Sensible Defaults & Quick Tuning Starting point: EMA, 13/21/144, ADX length 14, ADX threshold 25, gradients on, barcolor off. Too many flips: Increase ADX threshold or length; increase trend length; consider SMA instead of EMA. Too sluggish: Lower ADX threshold slightly; shorten fast and slow lengths; reduce the trend length. Colors overpowering: Increase gradient transparency or reduce gamma values toward one. What this indicator is—and isn’t This is a visualization and signal layer that combines crossover, regime, and strength gating. It does not predict future movements, manage risk, or execute trades. Use it alongside clear structure, risk controls, and a defined position management plan. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
Quarter Strength Table (3M) [CHE] Quarter Strength Table (3M) — quarterly seasonality overview for the current symbol Is there seasonality in certain assets? Some YouTubers claim there is—can you test it yourself? Summary This indicator builds a compact table that summarizes quarterly seasonality from three-month bars. It aggregates the simple return of each historical quarter, counts observations, computes the average return and the win rate for each quarter, and flags the historically strongest quarter. The output is a five-column table rendered on the chart, designed for quick comparison rather than signal generation. Because it processes only confirmed higher-timeframe bars, results are stable once a quarter has closed. Motivation: Why this design? Seasonality tools often mix intraperiod estimates with live bars, which can lead to misleading flips and inconsistent statistics. The core idea here is to restrict aggregation to completed three-month bars only and to deduplicate events by timestamp. This avoids partial information and double counting, so the table reflects a consistent, closed-bar history. What’s different vs. standard approaches? Baseline: Typical seasonality studies that compute monthly or quarterly stats directly on the chart timeframe or update on live higher-timeframe bars. Architecture differences: Uses explicit higher-timeframe requests for open, close, time, and calendar month from three-month bars. Confirms the higher-timeframe bar before recording a sample; deduplicates by the higher-timeframe timestamp. Keeps fixed arrays of length four for the four quarters; renders a fixed five-by-five table with zebra rows. Practical effect: Once a quarter closes, counts and averages are stable. The “Best” column marks the highest average quarter so you can quickly identify the historically strongest period. How it works (technical) On every chart bar, the script requests three-month open, close, time, and the calendar month derived from that bar’s time. When the three-month bar is confirmed, it computes the simple return for that bar and maps the month to a quarter index between zero and three. A guard stores the last seen three-month timestamp to avoid duplicate writes. Per quarter, it accumulates the sum of returns, the number of samples, and the number of positive samples. From these, it derives average return and win rate. The table header is created once on the first bar; content updates only on the last visible chart bar for efficiency. No forward references are used, and lookahead is disabled in all higher-timeframe requests to avoid peeking. Parameter Guide Percent — Formats values as percentages. Default: true. Trade-off: Easier visual comparison; disable if you prefer raw unit returns. Decimals — Number of digits shown. Default: two. Bounds: zero to six. Trade-off: More digits improve precision but reduce readability. Show table — Toggles table rendering. Default: true. Trade-off: Disable when space is limited or for batch testing. Reading & Interpretation The table shows rows for Q1 through Q4 and columns for Count, Avg Ret, P(win), and Best. Count: Number of completed three-month bars observed for that quarter. Avg Ret: Average simple return across all samples in that quarter. P(win): Share of samples with a positive return. Best: An asterisk marks the quarter with the highest average return among those with at least one sample. Use the combination of average and win rate to judge both magnitude and consistency. Low counts signal limited evidence. Practical Workflows & Combinations Trend following filter: Favor setups when the upcoming or active quarter historically shows a positive average and a stable win rate. Combine with structure analysis such as higher highs and higher lows to avoid fighting dominant trends. Exits and risk: When entering during a historically weak quarter, consider tighter risk controls and quicker profit taking. Multi-asset and multi-timeframe: The default settings work across most liquid symbols. For assets with sparse history, treat results as low confidence due to small sample sizes. Behavior, Constraints & Performance Repaint and confirmation: Aggregation occurs only when the three-month bar is confirmed; values do not change afterward for that bar. During an open quarter, no new sample is added. Higher-timeframe usage: All higher-timeframe requests disable lookahead and rely on confirmation to mitigate repaint. Resources: Declared `max_bars_back` is two thousand. Arrays are fixed at length four. The script updates the table only on the last visible bar to reduce work. Known limits: Averages can be affected by outliers and structural market changes. Limited history reduces reliability. Corporate actions and contract rolls may influence returns depending on the symbol’s data source. This is a visualization and not a trading system. Sensible Defaults & Quick Tuning Starting values: Percent true; Decimals two; Show table true. If numbers feel noisy: Decrease decimals to one to reduce visual clutter. If you need raw values: Turn off Percent to display unit returns. If the table overlaps price: Toggle Show table off when annotating, or reposition via your chart’s table controls. What this indicator is—and isn’t This is a historical summary of quarterly behavior. It visualizes evidence and helps frame expectations. It is not predictive, does not generate trade signals, and does not manage positions or risk. Always combine with market structure, liquidity considerations, and independent risk controls. Inputs with defaults Percent: true, boolean. Decimals: two, integer between zero and six. Show table: true, boolean. Pine version: v6 Overlay: true Primary outputs: Table with five columns and five rows. Metrics/functions used: Higher-timeframe data requests, table rendering, arrays, bar state checks, month mapping. Special techniques: Closed-bar aggregation, deduplication by higher-timeframe timestamp, zebra row styling. Performance/constraints: Two thousand bars back, small fixed loops, higher-timeframe requests without lookahead. Compatibility/assets/timeframes: Works on time-based charts across most assets with sufficient history. Limitations/risks: Sample size sensitivity, regime shifts, data differences across venues. Debug/diagnostics: (Unknown/Optional) Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indicatore Pine Script®
di chervolino
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization Summary BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips. Motivation: Why this design? Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked. What’s different vs. standard approaches? Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers. Architecture differences: Four fixed RSI lengths with strict ordering and a spacing tolerance. Optional requirement that all RSI values stay above or below the midline for bull or bear regimes. Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate. Dispersion measurement across the four RSIs with a percent-rank diagnostic. Gradient coloring of candles and wicks driven by stack magnitude. A last-bar statistics table with counts, wins, win rate, dispersion, and priors. Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon. How it works (technical) The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline. For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small. Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane. Parameter Guide Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior. Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback. Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries. Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution. Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly. Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples. Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on. Show consensus RSI — Weighted combination of the four RSIs. Default: on. Show OB/OS zones — Draw overbought, oversold, and midline. Default: on. Background regime — Pane background tint during bull or bear stacks. Default: on. Overlay regime markers — Entry markers on price when a stack forms. Default: on. Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on. Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals. Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost. Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more. Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones. Gradient and wick transparency — Visual opacity controls. Defaults: zero. Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs. Fallback neutral candles — Directional coloring when gradients are off. Default: off. Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three. Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty. Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small. Reading & Interpretation RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment. Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference. Zones: Overbought, oversold, and midline provide context rather than standalone triggers. Background tint: Indicates active bull or bear stack. Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms. Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment. Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering. Practical Workflows & Combinations Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes. Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal. Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data. Behavior, Constraints & Performance Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future. HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design. Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead. Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period. Sensible Defaults & Quick Tuning Start with the shipped defaults. Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period. Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates. Sparse samples: Extend the rolling window or increase priors to stabilize P(win). Visual overload: Disable gradient squares or wick coloring, or raise transparency. What this indicator is—and isn’t This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process. Metadata - Pine version: v6 - Overlay: false (price overlays are drawn via forced overlay where applicable) - Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table - Inputs with defaults: See Parameter Guide - Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts - Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping - Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls - Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context - Compatibility: Works across assets and timeframes that support RSI - Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy - Diagnostics: Statistics table, dispersion percent rank, gradient intensity Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Indicatore Pine Script®
di chervolino
Foresight Cone (HoltxF1xVWAP) [KedArc Quant]Description: This is a time-series forecasting indicator that estimates the next bar (F1) and projects a path a few bars ahead. It also draws a confidence cone based on how accurate the recent forecasts have been. You can optionally color the projection only when price agrees with VWAP. Why it’s different * One clear model: Everything comes from Holt’s trend-aware forecasting method—no mix of unrelated indicators. * Transparent visuals: You see the next-bar estimate (F1), the forward projection, and a cone that widens or narrows based on recent forecast error. * Context, not signals: The VWAP option only changes colors. It doesn’t add trade rules. * No look-ahead: Accuracy is measured using the forecast made on the previous bar versus the current bar. Inputs (what they mean) * Source: Price series to forecast (default: Close). * Preset: Quick profiles for fast, smooth, or momentum markets (see below). * Alpha (Level): How fast the model reacts to new prices. Higher = faster, twitchier. * Beta (Trend): How fast the model updates the slope. Higher = faster pivots, more flips in chop. * Horizon: How many bars ahead to project. Bigger = wider cone. * Residual Window: How many bars to judge recent accuracy. Bigger = steadier cone. * Confidence Z: How wide the cone should be (typical setting ≈ “95% style” width). * Show Bands / Draw Forward Path: Turn the cone and forward lines on/off. * Color only when aligned with VWAP: Highlights projections only when price agrees with the trend side of VWAP. * Colors / Show Panel: Styling plus a small panel with RMSE, MAPE, and trend slope. Presets (when to pick which) * Scalp / Fast (1-min): Very responsive; best for quick moves. More twitch in chop. * Smooth Intraday (1–5 min): Calmer and steadier; a good default most days. * Momentum / Breakout: Quicker slope tracking during strong pushes; may over-react in ranges. * Custom: Set your own values if you know exactly what you want. What is F1 here? F1 is the model’s next-bar fair value. Crosses of price versus F1 can hint at short-term momentum shifts or mean-reversion, especially when viewed with VWAP or the cone. How this helps * Gives a baseline path of where price may drift and a cone that shows normal wiggle room. * Helps you tell routine noise (inside cone) from information (edges or breaks outside the cone). * Keeps you aware of short-term bias via the trend slope and F1. How to use (step by step) 1. Add to chart → choose a Preset (start with Smooth Intraday). 2. Set Horizon around 8–15 bars for intraday. 3. (Optional) Turn on VWAP alignment to color only when price agrees with the trend side of VWAP. 4. Watch where price sits relative to the cone and F1: * Inside = normal noise. * At edges = stretched. * Outside = possible regime change. 5. Check the panel: if RMSE/MAPE spike, expect a wider cone; consider a smoother preset or a higher timeframe. 6. Tweak Alpha/Beta only if needed: faster for momentum, slower for chop. 7. Combine with your own plan for entries, exits, and risk. Accuracy Panel — what it tells you Preset & Horizon: Shows which preset you’re using and how many bars ahead the projection goes. Longer horizons mean more uncertainty. RMSE (error in price units): A “typical miss” measured in the chart’s currency (e.g., ₹). Lower = tighter fit and a usually narrower cone. Rising = conditions getting noisier; the cone will widen. MAPE (error in %): The same idea as RMSE but in percent. Good for comparing different symbols or timeframes. Sudden spikes often hint at a regime change. Slope T: The model’s short-term trend reading. Positive = gentle up-bias; negative = gentle down-bias; near zero = mostly flat/drifty. How to read it at a glance Calm & directional: RMSE/MAPE steady or falling + Slope T positive (or negative) → trends tend to respect the cone’s mid/upper (or mid/lower) area. Choppy/uncertain: RMSE/MAPE climbing or jumping → expect more whipsaw; rely more on the cone edges and higher-TF context. Flat tape: Slope T near zero → mean-revert behavior is common; treat cone edges as stretch zones rather than breakout zones. Warm-up & tweaks Warm-up: Right after adding the indicator, the panel may be blank for a short time while it gathers enough bars. Too twitchy? Switch to Smooth Intraday or increase the Residual Window. Too slow? Use Scalp/Fast or Momentum/Breakout to react quicker. Timeframe tips * 1–3 min: Scalp/Fast or Momentum/Breakout; horizon \~8–12. * 5–15 min: Smooth Intraday; horizon \~12–15. * 30–60 min+: Consider a larger residual window for a steadier cone. FAQ Q: Is this a strategy or an indicator? A: It’s an indicator only. It does not place orders, TP/SL, or run backtests. Q: Does it repaint? A: The next-bar estimate (F1) and the cone are calculated using only information available at that time. The forward path is a projection drawn on the last bar and will naturally update as new bars arrive. Historical bars aren’t revised with future data. Q: What is F1? A: F1 is the indicator’s best guess for the next bar. Price crossing above/below F1 can hint at short-term momentum shifts or mean-reversion. Q: What do “Alpha” and “Beta” do? A: Alpha controls how fast the indicator reacts to new prices (higher = faster, twitchier). Beta controls how fast the slope updates (higher = quicker pivots, more flips in chop). Q: Why does the cone width change? A: It reflects recent forecast accuracy. When the market gets noisy, the cone widens. When the tape is calm, it narrows. Q: What does the Accuracy Panel tell me? A: * Preset & Horizon you’re using. * RMSE: typical forecast miss in price units. * MAPE: typical forecast miss in percent. * Slope T: short-term trend reading (up, down, or flat). If RMSE/MAPE rise, expect a wider cone and more whipsaw. Q: The panel shows “…” or looks empty. Why? A: It needs a short warm-up to gather enough bars. This is normal after you add the indicator or change settings/timeframes. Q: Which timeframe is best? A: * 1–3 min: Scalp/Fast or Momentum/Breakout, horizon \~8–12. * 5–15 min: Smooth Intraday, horizon \~12–15. Higher timeframes work too; consider a larger residual window for steadier cones. Q: Which preset should I start with? A: Start with Smooth Intraday. If the market is trending hard, try Momentum/Breakout. For very quick tapes, use Scalp/Fast. Switch back if things get choppy. Q: What does the VWAP option do? A: It only changes colors (highlights when price agrees with the trend side of VWAP). It does not add or remove signals. Q: Are there alerts? A: Yes—alerts for price crossing F1 (up/down). Use “Once per bar close” to reduce noise on fast charts. Q: Can I use this on stocks, futures, crypto, or FX? A: Yes. It works on any symbol/timeframe. You may want to adjust Horizon and the Residual Window based on volatility. Q: Can I use it with Heikin Ashi or other non-standard bars? A: You can, but remember you’re forecasting the synthetic series of those bars. For pure price behavior, use regular candles. Q: The cone feels too wide/too narrow. What do I change? A: * Too wide: lower Alpha/Beta a bit or increase the Residual Window. * Too narrow (misses moves): raise Alpha/Beta slightly or try Momentum/Breakout. Q: Why do results change when I switch timeframe or symbol? A: Different noise levels and trends. The accuracy stats reset per chart, so the cone adapts to each context. Q: Any limits or gotchas? A: Extremely large Horizon may hit TradingView’s line-object limits; reduce Horizon or turn off extra visuals if needed. Big gaps or news spikes will widen errors—expect the cone to react. Q: Can this predict exact future prices? A: No. It provides a baseline path and context. Always combine with your own rules and risk management. Glossary * TS (Time Series): Data over time (prices). * Holt’s Method: A forecasting approach that tracks a current level and a trend to predict the next bars. * F1: The indicator’s best guess for the next bar. * F(h): The projected value h bars ahead. * VWAP: Volume-Weighted Average Price—used here for optional color alignment. * RMSE: Typical forecast miss in price units (how far off, on average). * MAPE: Typical forecast miss in percent (scale-free, easy to compare). Notes & limitations * The panel needs a short warm-up; stats may be blank at first. * The cone reflects recent conditions; sudden volatility changes will widen it. * This is a tool for context. It does not place trades and does not promise results. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Indicatore Pine Script®
di kedarcquant
Katz Candle Momentum Reversal Indicator v4.1Katz Candle Momentum Reversal Indicator (CMRI) v4.1 Overview The Katz CMRI is a comprehensive trading indicator designed to identify trend direction, momentum shifts, and potential market reversals. It combines several different concepts into a single, cohesive visual tool. At its core, the indicator uses a custom Line Break chart calculation to filter out market noise and a Heikin-Ashi-style formula to smooth price action. This combination helps to more clearly define the underlying trend. The main output is a dynamic, multi-colored trend line accompanied by various signals that appear directly on your chart. It's designed to help traders stay with the trend while also spotting key moments of expansion, contraction, and potential reversal. How to Interpret the Indicator The indicator has several key visual components: Main Trend Line: This is the thick, central line that changes color. Green: Indicates a bullish (upward) trend. Red: Indicates a bearish (downward) trend. Faded/Light Colors: Suggest a potential loss of momentum or a pullback within the trend. White: Signals a significant break in the trend structure. Trend Cloud: The shaded area between the main trend line and the white midline (mid). A green cloud shows the trend is above the midpoint, while a red cloud shows it's below. Upper/Lower Bands: The aqua (Trend Up) and yellow (Trend Down) lines represent the recent highs and lows of the established trend. When price is pushing against these bands, it signals trend strength. Background Colors: Gray: A "Contraction Zone." This indicates that the trend is losing momentum and consolidating, warning of potential chop or a reversal. Blue: An "Expansion Event." This highlights a sudden increase in momentum in the direction of the trend. Signal Shapes: Diamonds: These are the primary entry signals. A green diamond below a candle signals a potential long entry, while a red diamond above a candle signals a potential short entry. ⬆️⬇️ Arrows: These are secondary momentum signals. They can be used as confirmation that the trend is continuing. Trading Strategy & Rules This strategy uses the primary diamond signals for entries and trend changes for exits. Long Trade (Buy) Rules Entry: Wait for a green diamond to appear below the price candles. For confirmation, the main trend line should turn solid green, and the price should ideally be above the white midline. Exit: Stop Loss: Place a stop loss below the recent swing low or below the candle where the green diamond appeared. Take Profit: Consider exiting the trade when a red diamond appears above the candles, signaling a potential trend reversal. Alternatively, a trader might exit if the background turns gray (Contraction Zone), indicating the bullish momentum has faded. Short Trade (Sell) Rules Entry: Wait for a red diamond to appear above the price candles. For confirmation, the main trend line should turn solid red, and the price should ideally be below the white midline. Exit: Stop Loss: Place a stop loss above the recent swing high or above the candle where the red diamond appeared. Take Profit: Consider exiting the trade when a green diamond appears below the candles. A gray "Contraction Zone" can also serve as an early warning to exit as bearish momentum wanes. Indicator Filters Explained The indicator includes a "Trend Filter Type" setting that allows you to adjust its sensitivity. This can help reduce false signals in choppy markets. Raw: This is the most sensitive setting. It will generate a trend change signal as soon as the basic conditions are met. Use this for scalping or in strongly trending markets, but be aware that it may produce more false signals. OutStep: This is the default, balanced setting. It adds an extra layer of confirmation by requiring the main trend line itself to be moving in the direction of the new trend. For example, a new green signal will only be confirmed if the trend line's value is higher than its previous value. This helps filter out weak signals. FullStep: This is the most conservative and filtered setting. It includes the "OutStep" logic and adds further conditions related to the upper and lower trend bands. This setting will produce the fewest signals, but they are generally the highest quality, making it suitable for swing trading or avoiding choppy market conditions. Disclaimer This indicator is a tool for technical analysis and should not be considered financial advice. All trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. The signals generated by this indicator are for educational and informational purposes only. You are solely responsible for any trading decisions you make. Use this indicator at your own risk.
Indicatore Pine Script®
di KATZcrypto
3 MA's with Crossing SignalsPlots three fully configurable moving averages on one chart and prints/alerts BUY/SELL signals when price crosses your chosen MA(s). Built to match TradingView’s built-ins exactly. Features Per-line MA type: SMA, EMA, SMMA (RMA), WMA, VWMA Per-line settings: length, color, offset Source control: Close, Open, High, Low, HL2, HLC3, OHLC4 Optional Heikin Ashi calculation for both the MAs and the cross price Toggle signals vs MA1 / MA2 / MA3 independently Alert conditions for every cross (ready for “Once per bar close”) How signals work UP when the selected price stream crosses above the chosen MA DOWN when it crosses below Signals/alerts follow your selected source (and HA toggle) to keep everything consistent.
Indicatore Pine Script®
di zac_wastaken
Trend Score with Dynamic Stop Loss RTH 📘 Trend Score with Dynamic Stop Loss (RTH) — Guide 🔎 Overview This indicator tracks intraday momentum during Regular Trading Hours and flags trend flips using a cumulative TrendScore. It also draws dynamic stop-loss levels and shows a live stats table for quick decision-making and journaling. ⸻ ⚙️ Core Concepts 1) TrendScore (per bar) • +1 if the current bar makes a higher high than the previous bar (counted once per bar). • –1 if the current bar makes a lower low than the previous bar (counted once per bar). • If a bar takes both the prior high and low, the net contribution can cancel out within that bar. 2) Cumulative TrendScore (running total) • The per-bar TrendScore accumulates across the session to form the cumulative TrendScore (TS). • TS resets to 0 at session open and is cleared at session close. • Rising TS = persistent upside pressure; falling TS = persistent downside pressure. ⸻ 🔄 Flip Rules (3-point reversal of the cumulative TrendScore) A flip occurs when the cumulative TrendScore reverses by 3 points in the opposite direction of the current trend. • Bullish Flip • Trigger: After a decline, the cumulative TrendScore rises by +3 from its down-leg. • Interpretation: Bulls have taken control. • Stop-loss: the lowest price of the prior (down) leg. • Bearish Flip • Trigger: After a rise, the cumulative TrendScore falls by –3 from its up-leg. • Interpretation: Bears have taken control. • Stop-loss: the highest price of the prior (up) leg. Flip bars are marked with ▲ (lime) for bullish and ▼ (red) for bearish. Note: If you prefer a different reversal distance, adjust the flip distance setting in the script’s inputs (default is 3). ⸻ 📏 Stop-Loss Lines • A dotted line is drawn at the prior leg’s extreme: Green (below price) after a bullish flip. Red (above price) after a bearish flip. • Options: Remove on touch for a clean chart. Freeze on touch to keep a visual record for journaling. • All stop lines are cleared at session end. ⸻ 🧮 Stats Table (what you see) • Trend: Bull / Bear / Neutral • Bars in Trend: Count since the flip bar • Since Flip: Current close minus flip bar close • Since SL: Current close minus active stop level • MFE-Maximum Favorable Excursion: Highest favorable move since flip • MAE-Maximum Adverse Excursion: Largest adverse move since flip Table colors reflect the current trend (green for bull, red for bear). ⸻ 📊 Trading Playbook Entries • Aggressive: Enter immediately on a flip marker. • Conservative: Wait for a small pullback that doesn’t violate the stop. Stops • Place the stop at the script’s flip stop-loss line (the prior leg extreme). Exits Choose one style and stick with it: • Stop-only: Exit when the stop is hit. • Time-based: Flatten at session close. • Targets: Scale/close at 1R, 2R. • Trailing: Trail behind minor swings once MFE > 1R. Ultimately Exit choice is your own edge, so you must decide for yourself. 💡 Best Practices • Skip the first few bars after the open (gap noise). • Use regular candles (Heikin-Ashi will distort highs/lows). • If you want fewer flips, increase the flip distance (e.g., 4 or 5). For more responsiveness, use 2. Otherwise, increase your time frame to 5m, 10m, 15m. • Keep SL lines frozen (not auto-removed) if you’re journaling.
Indicatore Pine Script®
di DeLeBlanc
3
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Indicatore Pine Script®
di ericc2c45
Swing Z – Crypto Trading Algorithm | Zillennial Technologies IncSwing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Indicatore Pine Script®
di ericc2c45