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Stochastic Oscillator

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.
อินดิเคเตอร์ Pine Script®
โดย DCAUT
RSI + Stochastic для M1 скальпингаRSI + Stochastic for M1 Scalping This indicator combines Relative Strength Index (RSI) and Stochastic Oscillator into a single tool designed specifically for short-term scalping on the 1-minute chart. While both oscillators are widely used, they often produce many signals on their own. This script focuses on signal confirmation through synchronization, which reduces false entries and helps scalpers react faster in fast-moving markets. How it works RSI (7-period by default) tracks short-term momentum and highlights overbought (>70) or oversold (<30) conditions. Stochastic Oscillator (%K = 5, %D = 3, smoothing = 3) adds sensitivity to micro-swings, providing context for intraday momentum. The indicator generates a visual background highlight only when both oscillators confirm the same condition: Green zone → RSI and Stochastic are both oversold, suggesting potential exhaustion of downward pressure. Red zone → RSI and Stochastic are both overbought, indicating potential exhaustion of upward pressure. Why this mashup is different Rather than simply plotting RSI and Stochastic together, this tool emphasizes confluence-based filtering: Signals appear only at extreme conditions across both oscillators, which helps reduce market noise common on M1 charts. Background coloring makes it easier to spot high-probability setups visually, without needing to interpret multiple plots separately. The parameter defaults are optimized for scalping strategies, but users can adjust them to fit their style. How to use Best suited for M1 and M5 timeframes where overbought/oversold conditions appear frequently. Can be used to time entries and exits around support/resistance or trend continuation zones. Works well as a confirmation filter alongside price action or volume-based indicators. ⚠️ Disclaimer: This indicator does not guarantee profitable trades. Always test on demo accounts and combine with risk management before applying to live markets.
อินดิเคเตอร์ Pine Script®
โดย flaxkz
Stoch + RSI DashboardIndicator Description MTF Stochastic + RSI Dashboard FLEX with STRONG Alerts A compact, multi-timeframe dashboard that shows Stochastic %K/%D, RSI and signal states across user-defined timeframes. Columns can be toggled on/off to keep the panel as small as you need. Signal texts and colors are fully customizable. The table can be placed in any chart corner, and the background color & opacity are adjustable for perfect readability. What it shows • For each selected timeframe: %K, %D, a signal cell (Bullish/Bearish/Strong), RSI value, and RSI state (Overbought/Oversold/Neutral). • Timeframes are displayed as friendly labels (e.g., 60 → 1h, W → 1w, 3D → 3d). Signals & logic • Bullish/Bearish when %K and %D show a sufficient gap (or an optional confirmed cross). • Strong Bullish when both %K and %D are below the “Strong Bullish max” threshold. • Strong Bearish when both %K and %D are above the “Strong Bearish min” threshold. • Optional confirmation: RSI < 30 for Strong Bullish, RSI > 70 for Strong Bearish. Alerts • Global alerts for any selected timeframes when a STRONG BULLISH or STRONG BEARISH event occurs. Key options • Column visibility toggles (TF, %K, %D, Signal, RSI, RSI Status). • Custom signal texts & colors. • Dashboard position: top-left / top-right / bottom-left / bottom-right. • Table background color + opacity (0 = opaque, 100 = fully transparent). • Sensitivity (minimum %K–%D gap) and optional “cross-only” mode. • Customizable timeframes for display and for alerts. Default settings • Stochastic: K=5, D=3, SmoothK=3 • RSI length: 14 • Decimals: 1 • Strong Bullish max: 20 • Strong Bearish min: 80 • Default TFs & alerts: 3m, 15m, 1h, 3h, 6h, 12h, 1d, 3d, 1w
อินดิเคเตอร์ Pine Script®
โดย Nachbar
1
KDJ Divergence Indicator(Regular & Hidden)📌 中文介绍 KDJ 背离指标（副图版，支持 Regular & Hidden） 这是一个基于 KDJ 指标 的背离检测工具，可以在副图中直观显示 Regular 背离（顶背离/底背离） 和 Hidden 背离（隐藏顶/隐藏底）。 功能特点： 可选计算基线：支持以 J 值 或 K 值 作为背离判定依据。 多种背离类型： Regular Bullish（底背离）：价格创新低，但指标不创新低 → 可能反弹。 Regular Bearish（顶背离）：价格创新高，但指标不创新高 → 可能回落。 Hidden Bullish（隐藏底背离）：价格不创新低，但指标创新低 → 可能延续上涨。 Hidden Bearish（隐藏顶背离）：价格不创新高，但指标创新高 → 可能延续下跌。 连线显示：在副图用线条连接前后两个背离点，帮助更直观地发现趋势变化。 自定义选项： 可选择是否显示 Regular / Hidden 背离。 可调整回溯范围（左侧/右侧/最大最小）。 可自定义颜色和信号样式。 报警提醒：背离出现时会触发报警。 适合： 波段交易者寻找趋势反转。 短线交易者捕捉关键拐点。 技术分析结合 KDJ 的交易策略。 📌 English Introduction KDJ Divergence Indicator (Sub-Chart, Regular & Hidden Supported) This is a KDJ-based divergence detection tool, plotted in a sub-window, that highlights Regular Divergences (Bullish/Bearish) and Hidden Divergences (Hidden Bullish/Hidden Bearish). Key Features: Selectable Oscillator Line: Choose between J or K line as the basis for divergence detection. Divergence Types: Regular Bullish: Price makes a lower low, but oscillator makes a higher low → potential rebound. Regular Bearish: Price makes a higher high, but oscillator makes a lower high → potential drop. Hidden Bullish: Price holds higher low, but oscillator makes a lower low → potential trend continuation upward. Hidden Bearish: Price holds lower high, but oscillator makes a higher high → potential trend continuation downward. Line Connections: Draws connecting lines between divergence points for better visual clarity. Customizable Settings: Enable/disable Regular & Hidden divergences. Adjustable left/right lookback and range filters. Custom colors and shapes for signals. Alert Ready: Alerts trigger when divergences are detected. Best for: Swing traders spotting trend reversals. Short-term traders catching turning points. Technical analysts using KDJ-based strategies.
อินดิเคเตอร์ Pine Script®
โดย snakewyt
Stochastic [Paifc0de]Stochastic — clean stochastic oscillator with visual masking, neutral markers, and basic filters What it does This indicator plots a standard stochastic oscillator (%K with smoothing and %D) and adds practical quality-of-life features for lower timeframes: optional visual masking when %K hugs overbought/oversold, neutral K–D cross markers, session-gated edge triangles (K crossing 20/80), and simple filters (minimum %K slope, minimum |K–D| gap, optional %D slope agreement, mid-zone mute, and a cooldown between markers). Display values are clamped to 0–100 to keep the panel scale stable. The tool is for research/education and does not generate entries/exits or financial advice. Default preset: 20 / 10 / 10 K Length = 20 Classic lookback used in many textbooks. On intraday charts it balances responsiveness and stability: short enough to react to momentum shifts, long enough to avoid constant whipsaws. In practice it captures ~the last 20 bars’ position of close within the high–low range. K Smoothing = 10 A 10-period SMA applied to the raw %K moderates the “saw-tooth” effect that raw stochastic can exhibit in choppy phases. The smoothing reduces over-reaction to micro spikes while preserving the main rhythm of swings; visually, %K becomes a continuous path that is easier to read. D Length = 10 %D is the moving average of smoothed %K. With 10, %D becomes a clearly slower guide line. The larger separation between %K(10-SMA) and %D(10-SMA of %K) produces cleaner crosses and fewer spurious toggles than micro settings (e.g., 3/3/3). On M5–M15 this pair often yields readable cross cycles without flooding the chart. How the 20/10/10 trio behaves In persistent trends, %K will spend more time near 20 or 80; the 10-period smoothing delays flips slightly and emphasizes only meaningful turn attempts. In ranges, %K oscillates around mid-zone (40–60). With 10/10 smoothing, cross signals cluster less densely; combining with the |K–D| gap filter helps keep only decisive crosses. If your symbol is unusually volatile or illiquid, reduce K Length (e.g., 14) or reduce K Smoothing (e.g., 7) to keep responsiveness. If crosses feel late, decrease D Length (e.g., 7). If noise is excessive, increase K Smoothing first, then consider raising D Length. Visuals OB/OS lines: default 80/20 reference levels and a midline at 50. Masking near edges: %K can be temporarily hidden when it is pressing an edge, approaching it with low slope, or going nearly flat near the boundary. This keeps the panel readable during “stuck at the edge” phases. Soft glow (optional): highlights %K’s active path; can be turned off. Light/Dark palette: quick toggle to match your chart theme. Scale safety: all plotted values (lines, fills, markers) are clamped to 0–100 to prevent the axis from expanding beyond the stochastic range. Markers and filters Neutral K–D cross markers: circles in the mid-zone when %K crosses %D. Edge triangles: show when %K crosses 20 or 80; can be restricted to a session window (02:00–12:00 ET). Filters (optional): Min %K slope: require a minimum absolute slope so very flat crosses are ignored. Min |K–D| gap: demand separation between lines at the cross moment. %D slope agreement: keep crosses that align with %D’s direction. Mid-zone mute: suppress crosses inside a user-defined 40–60 band (defaults). Cooldown: minimum bars between successive markers. Parameters (quick guide) K Length / K Smoothing / D Length: core stochastic settings. Start with 20/10/10; tune K Smoothing first if you see too much jitter. Overbought / Oversold (80/20): adjust for assets that tend to trend (raise to 85/15) or mean-revert (lower to 75/25). Slope & gap filters: increase on very noisy symbols; reduce if you miss too many crosses. Session window (triangles only): use if you want edge markers only during active hours. Marker size and offset: cosmetic; they do not affect calculations. Alerts K–D Cross Up (filtered) and K–D Cross Down (filtered): fire when a cross passes your filters/cooldown. Edge Up / Edge Down: fire when %K crosses the 20/80 levels. All alerts confirm on bar close. Notes & attribution Original implementation and integration by Paifc0de; no third-party code is copied. This indicator is for research/education and does not provide entries/exits or financial advice.
อินดิเคเตอร์ Pine Script®
โดย paifcode
Stochastic 6TF by jjuiiStochastic 6TF by J is a Multi-Timeframe (MTF) Stochastic indicator that displays %K values from up to 6 different timeframes in a single window. This helps traders analyze momentum across short, medium, and long-term perspectives simultaneously. Features: - Supports 6 customizable timeframes (e.g., 5m, 15m, 1h, 4h, 1D, 1W) - Option to show/hide each timeframe line - Standard reference levels (20 / 50 / 80) with background shading - Smoothed %K for clearer visualization Best for: - Cross-timeframe momentum analysis - Spotting aligned Overbought / Oversold signals - Confirming market trends and timing entries/exits ------------------------------------------------------------- Stochastic 6TF by J คืออินดิเคเตอร์ Stochastic Multi Timeframe (MTF) ที่สามารถแสดงค่า %K จากหลายกรอบเวลา (สูงสุด 6 TF) ไว้ในหน้าต่างเดียว ช่วยให้นักเทรดมองเห็นโมเมนตัมของราคา ทั้งระยะสั้น กลาง และยาว พร้อมกัน คุณสมบัติ: - เลือกกรอบเวลาได้ 6 ชุด (เช่น 5m, 15m, 1h, 4h, 1D, 1W) - สามารถเปิด/ปิดการแสดงผลแต่ละ TF ได้ - มีเส้นแนวรับ/แนวต้านมาตรฐาน (20 / 50 / 80) - ใช้เส้น %K ที่ถูกปรับค่าเฉลี่ยให้เรียบขึ้นเพื่ออ่านง่าย เหมาะสำหรับ: - การดูโมเมนตัมข้ามกรอบเวลา - หาจังหวะ Overbought / Oversold ที่สอดคล้องกันหลาย TF - ใช้ยืนยันแนวโน้มและหาจังหวะเข้า-ออกอย่างแม่นยำมากขึ้น
อินดิเคเตอร์ Pine Script®
โดย jjuii
RSI/Stochastic with overlays a moving average + Bollinger BandsCompact oscillator panel that lets you switch the base between RSI and Stochastic %K, then overlays a moving average + Bollinger Bands on the oscillator values (not on price) to read momentum strength and squeeze/expansion. What’s added Selectable base: RSI ↔ Stochastic %K (plots %D when Stoch is chosen). MA + BB on oscillator to gauge momentum trend (MA) and volatility (bands). Adjustable bands 70/50/30 with optional fill, plus optional regular divergence and alerts. How to read Bull bias: %K above osc-MA and pushing/closing near Upper BB; confirm with %K > %D. Bear bias: %K below osc-MA and near Lower BB; confirm with %K < %D. Squeeze: BB on oscillator tightens → expect momentum breakout. Overextension: repeated touches of Upper/Lower BB in 70/30 zones → strong trend; watch for %K–%D recross. Quick settings (start here) Stoch: 14 / 3 / 3; Bands: 70/50/30. Osc-MA: EMA 14. BB on oscillator: StdDev 2.0 (tune 1.5–2.5). Note Analysis tool, not financial advice. Backtest across timeframes and use risk management.
อินดิเคเตอร์ Pine Script®
โดย rahmadsaleh86
Multi-Indicator Panel (RSI, Stoch, MACD, VIX Fix, MFI)A versatile single-pane oscillator panel combining RSI, Stochastic, MACD (scaled to 0–100), Williams VIX Fix (normalized & inverted: low value = high fear), and MFI. Each module is toggleable, with reference levels, background highlights, and ready-made alerts. Key features Per-indicator toggles: RSI, Stoch %K/%D, MACD (lines + optional histogram), inverted 0–100 VIX Fix, and MFI. Standard levels & center line at 50; adjustable overbought/oversold thresholds. Contextual background coloring (optional) for extreme conditions. Built-in alerts: RSI/Stoch OB/OS, MACD–Signal cross, VIX Fix “High Fear/Low Fear,” and MFI OB/OS. Unified scale: MACD mapped around 50 to align with other oscillators; VIX Fix normalized to 0–100. How to use (quick) Add the indicator → enable needed modules via “Indicator Toggles.” Tune periods & levels (e.g., RSI 14, Stoch 14/3, MACD 12-26-9, VIX Fix 22/252, MFI 14). (Optional) Turn on MACD histogram. Create alerts from “Add alert on…” using the provided conditions. Interpretation notes Inverted VIX Fix: low values ⇒ high fear/volatility (potential bounces); high values ⇒ complacency. Scaled MACD: lines around 50 ≈ MACD zero; line crosses remain valid despite scaling. Disclaimer Analysis tool, not financial advice. Test across timeframes/instruments and pair with risk management.
อินดิเคเตอร์ Pine Script®
โดย rahmadsaleh86
Dual-Frame Momentum OscillatorDual-Frame Momentum Oscillator (DFMO) This is not just another oscillator. This is a confluence engine, built for the discerning trader who reads the story of price action and needs an objective tool to confirm the climax. The Dual-Frame Momentum Oscillator was designed to solve a specific problem: how to differentiate a genuine, sustainable breakout from an exhaustive liquidity grab. It provides a visual confirmation for high-probability reversal and scalp setups by measuring momentum across two distinct time frames simultaneously. This tool is for the trader who understands that indicators should not dictate trades, but rather confirm a well-defined thesis based on market structure, volume, and liquidity. The Core Concept: Context Meets Trigger The DFMO fuses a slow, methodical Stochastic with a hyper-sensitive RSI to give you a complete picture of momentum. The Context (Slow Stochastic %K - default 40,4,4): This acts as your long-term momentum gauge. It tells you if the underlying trend is healthy or nearing exhaustion. A high reading suggests the market is overextended and vulnerable, while a low reading suggests the opposite. The Trigger (Fast RSI - default 3): This is your immediate impulse reader. It measures the velocity and intensity of the current price thrust, making it incredibly sensitive to exhaustive moves, spikes, and bounces. By themselves, they are useful. Together, they are formidable. The Confluence Engine: Your Visual Edge The true power of the DFMO lies in its "Confluence Engine." The indicator's background highlights in real-time when both oscillators are in agreement, visually flagging moments of maximum opportunity. Bearish Confluence Zone (Red): The background turns red only when the Stochastic is overbought AND the RSI is overbought. This is your signal that the broader trend is exhausted and the current buying impulse has reached a climax. It is the ideal confirmation for a short entry following a liquidity sweep above a key high. Bullish Confluence Zone (Green): The background turns green only when the Stochastic is oversold AND the RSI is oversold. This signals that the downtrend is tired and the immediate selling pressure is exhaustive, providing high-probability confirmation for a long entry at a key support level. When these zones appear, the indicator is telling you that both the context and the trigger are aligned. This removes ambiguity and allows for decisive, confident execution. Practical Application: The Liquidity Sweep Imagine you're stalking a short on a futures contract like MCL or MES. You've marked the high of the day (HOD) as a key resistance level where liquidity is resting. You see a sharp, vertical impulse move that breaks the HOD, clearing out the stops. Is this a real breakout, or is it a manipulation move—a classic liquidity grab? You glance down at the DFMO. The moment price swept the high, the background flashed red. That's your objective confirmation. The slow Stoch was already overbought, and the fast RSI spiking confirmed the exhaustive, terminal nature of that price thrust. You now have the confidence to enter your short scalp, knowing you are aligned with the probable direction of the market's next move. This is how you move from "feeling" the market to systematically executing a high-probability edge. This is how you aspire for greatness. Add the Dual-Frame Momentum Oscillator to your toolkit and transform your ability to time entries with surgical precision.
อินดิเคเตอร์ Pine Script®
โดย rick84etter
3X Sniper BotThe 3X Sniper Bot is built for traders who demand clarity, precision, and confidence in their decision-making. This tool isn’t just another crossover script—it’s a full multi-confirmation system that helps you spot momentum shifts, identify high-probability entries, and filter out the noise. 🔥 Why traders love it: Triple confirmation engine: Only fires when multiple conditions align, reducing false signals. Strong vs. Regular vs. Possible setups: Get nuanced alerts that distinguish between high-conviction moves and early opportunities. Both Buy & Sell coverage: Stay prepared in any market environment. Smart flexibility: Works across strict or sequenced signal modes, giving you control over how conservative or aggressive you want to trade. Visual clarity: Clean chart markers and optional regime shading keep your screen easy to read at a glance. Alert-ready: Set and forget—never miss a move with real-time TradingView alerts. This indicator was designed to make complex multi-factor analysis simple, giving traders a clear visual edge without clutter or guesswork. Whether you scalp intraday or swing multi-day, the 3X Sniper Bot adapts to your style.
อินดิเคเตอร์ Pine Script®
โดย JPCipher
Multi-RSI with Stochastic Oscillator - flack0xA sophisticated momentum analysis tool combining 4 customizable RSI oscillators with an innovative Close/Close Stochastic implementation. Designed for traders seeking comprehensive momentum insights across multiple timeframes in a single, organized indicator. Key Features: 4 Independent RSI Oscillators with default periods: 2, 3, 9, 27 Innovative Close/Close Stochastic - Compares closing prices to closing price ranges (not high/low) Complete Customization - Individual control over periods, colors, line widths, and visibility Reference Levels - Customizable overbought (70), oversold (30), and midline (50) levels Smart Alert System - Crossover notifications for key momentum shifts Unique Close/Close Stochastic Methodology: Unlike traditional Stochastic oscillators that use high/low ranges. Benefits of Close/Close Approach: Eliminates Gap Noise - Ignores overnight gaps and intraday wicks Smoother Signals - Reduces whipsaws common in traditional Stochastic Position-Relevant - Focuses on actual settlement prices traders care about Cleaner Momentum Reading - Pure closing price momentum without intraday volatility
อินดิเคเตอร์ Pine Script®
โดย flack0x
DK RSI [NMTUAN]The RSI Lines in RSI DK A basic RSI DK indicator typically consists of the following components: The Main RSI Line: Usually set to a period of 14, this is the most common line for most traders. It provides an overall view of market momentum. The Short-Term RSI Line: Usually set to a period of 7, 5, or even 3. This line moves faster and is more sensitive to short-term fluctuations. It can be used to identify early entry/exit points. The Long-Term RSI Line: Typically set to a period of 21, 28, or 30. This line moves more slowly, providing a stable view of the long-term trend. It helps filter out "noise" and confirm the main trend. How to Use RSI DK Combining multiple RSI lines offers several advantages: Signal Confirmation: When different RSI lines confirm a signal (e.g., all are in the overbought or oversold zone), the reliability of that signal increases significantly. Divergence: This is one of the strongest signals of the RSI. With RSI DK, traders can easily spot potential divergence signals when a short-term RSI line diverges from price, while the long-term RSI line is still confirming the trend. Crossovers: Similar to other momentum indicators, crossovers between RSI lines in RSI DK are also very useful. For example, when the short-term RSI line crosses above the long-term one, it could be a signal that upward momentum is gaining strength. Multi-Timeframe Analysis: RSI DK lets you analyze momentum across different timeframes right on one chart, which saves time and improves analysis efficiency.
อินดิเคเตอร์ Pine Script®
โดย ptkt_vuong
SMA+MACD+RSI+Stoch Entry📌 Tools Used: • SMA 21, SMA 50, SMA 200 • MACD (12, 26, 9) • Pivot Point Standard • RSI (length 75) • Stochastic (14, 3, 3) Trading Timeframe: • Usable on all timeframes Chart Preparation: • Analyze the overall market trend and the instrument being traded • Set an appropriate timeframe according to the market • Apply SMA 21, SMA 50, SMA 200 • Apply MACD and Pivot Point Standard • Ensure a proper market trend by checking the position of SMA 21, SMA 50, and SMA 200 relative to each other If there are too many crossings between SMA 21, SMA 50, and SMA 200, do not enter any trades until the market trend stabilizes Conditions for Entering a Long Trade (Bullish Trigger): • Candle closes above the pivot line • Confirm an uptrend by checking that SMA 21 is above SMA 50, and SMA 50 is above SMA 200 • RSI is above the midpoint • Presence of a suitable corrective step with normal slope, considering the strength of the previous step • MACD histogram indicates bullish momentum • Stochastic shows a bullish crossover from below Conditions for Entering a Short Trade (Bearish Trigger): • Candle closes below the pivot line • Confirm a downtrend by checking that SMA 21 is below SMA 50, and SMA 50 is below SMA 200 • RSI is below the midpoint • Presence of a suitable corrective step with normal slope, considering the strength of the previous step • MACD histogram indicates bearish momentum • Stochastic shows a bearish crossover from above
อินดิเคเตอร์ Pine Script®
โดย Daragolbon
2
MTF Oscillator Stack [BigBeluga]🔵 OVERVIEW The MTF Oscillator Stack brings powerful multi-timeframe momentum analysis directly into your price chart. You can select one oscillator— RSI , MFI , or Stochastic RSI —and display it across up to 4 different timeframes. Each panel is neatly stacked horizontally above price , offering quick insight into cross-timeframe conditions like trend direction, exhaustion zones, and momentum shifts. 🔵 CONCEPTS Single Oscillator Mode: Select one oscillator type (RSI, MFI, or Stoch RSI) to analyze across all selected timeframes. Top-Chart Horizontal Panels: Oscillator plots are aligned horizontally at the top of the chart for seamless top-down reading. Signal Comparison Arrows: Arrows (🢁 / 🢃) indicate oscillator position relative to its signal line. Overbought/Oversold Zones: Transparent 30–70 fill zones highlight key reversal areas. Dynamic Display Logic: Only enabled panels are shown; spacing adjusts based on active timeframes. Timeframe Tagging: Each oscillator panel is labeled with its corresponding timeframe (e.g., 1H, 2H, 4H). 🔵 FEATURES Choose one oscillator (RSI, MFI, or Stoch RSI) and apply it across up to 4 timeframes. Each oscillator panel includes: price-synced plot, signal line, and zone shading. Scale alignment allows users to place charts at the bottom or top. Clear arrow signals show whether oscillator is bullish or bearish. Individual length and signal settings per timeframe. Toggle for alignment mode: evenly spaced or floating layout. All panels use a consistent layout for faster decision-making. 🔵 HOW TO USE Select your preferred oscillator and activate 2–4 key timeframes (e.g., 1H, 4H, D1, W1). Use signal crossovers as a bullish (🢁) or bearish (🢃) trend cue. Look for aligned extremes (e.g., all timeframes overbought) to spot momentum exhaustion. Ideal for momentum confluence strategies and top-down confirmation. Use horizontal layout to stay focused on price while assessing broader structure. 🔵 CONCLUSION MTF Oscillator Stack simplifies complex multi-timeframe momentum analysis into one clean, actionable visual. Whether you're tracking RSI, MFI, or Stoch RSI, this tool helps you stay aligned with the broader trend—without ever leaving your main chart.
อินดิเคเตอร์ Pine Script®
โดย BigBeluga
12
FFI-Trend Rider ProFFI-Trend Rider Pro is a trend-following strategy designed to help traders make more structured and disciplined entries. It uses a crossover between the 11 EMA and 21 SMA to detect potential trend shifts, while avoiding premature entries by checking how far the price is from the moving averages. If the price is extended, it waits for a pullback — just like professional traders do. The indicator also includes: Auto stoploss based on 21 SMA Visual background colors based on RSI to help gauge trend strength A built-in trade info table showing current trade type, entry price, stoploss, and trailing SL Strategy-enabled functionality for easy backtesting 🔍 Ideal For: Intraday & Swing Traders Traders who want fewer, high-quality trades Anyone looking to reduce emotional decision-making ⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always do your own analysis before making any trading decisions. Past performance is not indicative of future results.
กลยุทธ์ Pine Script®
โดย ffiindicator
Institution Accumulation/DistributionLeveraging the Williams%R oscillator, the script has been optimized to pick out key turning point in the market specifically at Resistance (Overbought) or Support (Oversold) The algo has been programmed to print both buy and sell alerts at extremes/when conditions flip eg a long position will be closed simultaneously opening a short position above resistance. Best used as a scalping tool targeting 30m and below works well with currency pairs
กลยุทธ์ Pine Script®
โดย DVNNY
3
TTL Quad stochastic🧠 The Traders' Light — Quad Stochastic Viewer v1 Script name: TTL Quad Stochastic Version: v2 Author: The Traders’ Light Follow us: @thetraderslight on X 🎯 What it does This script visualizes four smoothed stochastic indicators on a single pane, providing a unique multi-speed momentum perspective. It’s designed to help traders identify high-confluence overbought/oversold conditions, especially when all stochastic curves align in extreme zones. 📐 Indicators used The script calculates and displays the following smoothed stochastics: Stoch 9-3 — fast reaction Stoch 14-3 — standard Stoch 40-4 — mid-term filter Stoch 60-10 — long-term context Overbought and oversold levels are visually marked at 80 and 20, respectively. 🔔 Signal logic Background highlights are triggered when all four stochastics align: ✅ Green background when all stochastics are below 20 (oversold) ❌ Red background when all stochastics are above 80 (overbought) Webhook alerts are also available: Bullish Align Alert when all stochastics < 20 Bearish Align Alert when all stochastics > 80 🔧 How to use it Use this tool as a momentum filter to confirm entries or avoid low-confluence zones. Combine it with trend structure, volume, or other TTL indicators for optimal setups. ⚠️ Important This is not a buy/sell signal indicator. It is a visual aid intended to support your analysis, not to replace it. Always use in conjunction with your own strategy and risk management. Trading involves significant risk and may result in financial loss. Use at your own discretion and responsibility.
อินดิเคเตอร์ Pine Script®
โดย TheTradersLight
TTL Quad stochastic🧠 The Traders' Light — Quad Stochastic Viewer v2 Script name: TTL Quad Stochastic Version: v2 Author: The Traders’ Light Follow us: @thetraderslight on X 🎯 What it does This script visualizes four smoothed stochastic indicators on a single pane, providing a unique multi-speed momentum perspective. It’s designed to help traders identify high-confluence overbought/oversold conditions, especially when all stochastic curves align in extreme zones. 📐 Indicators used The script calculates and displays the following smoothed stochastics: Stoch 9-3 — fast reaction Stoch 14-3 — standard Stoch 40-4 — mid-term filter Stoch 60-10 — long-term context Overbought and oversold levels are visually marked at 80 and 20, respectively. 🔔 Signal logic Background highlights are triggered when all four stochastics align: ✅ Green background when all stochastics are below 20 (oversold) ❌ Red background when all stochastics are above 80 (overbought) Webhook alerts are also available: Bullish Align Alert when all stochastics < 20 Bearish Align Alert when all stochastics > 80 🔧 How to use it Use this tool as a momentum filter to confirm entries or avoid low-confluence zones. Combine it with trend structure, volume, or other TTL indicators for optimal setups. ⚠️ Important This is not a buy/sell signal indicator. It is a visual aid intended to support your analysis, not to replace it. Always use in conjunction with your own strategy and risk management. Trading involves significant risk and may result in financial loss. Use at your own discretion and responsibility.
อินดิเคเตอร์ Pine Script®
โดย TheTradersLight