Inizia

Oscillatore stocastico

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
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
Indicatore Pine Script®
di 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.
Indicatore Pine Script®
di 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.
Indicatore Pine Script®
di 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
Indicatore Pine Script®
di 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.
Indicatore Pine Script®
di 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.
Indicatore Pine Script®
di 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.
Indicatore Pine Script®
di rick84etter
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
Indicatore Pine Script®
di flack0x
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
Indicatore Pine Script®
di 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.
Indicatore Pine Script®
di BigBeluga
12
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
Strategia Pine Script®
di DVNNY
3
Ehlers Two-Pole StochasticThis indicator implements John Ehlers' Two-Pole Stochastic Filter, a smoother alternative to the traditional stochastic oscillator. Instead of relying on raw %K values, it applies a second-order IIR filter (recursive smoothing) to reduce noise and improve trend clarity. It outputs a single line oscillating between 0 and 1, with less lag and false signals compared to standard stochastic implementations. Key Features: Uses a two-pole filter to smooth the normalized stochastic (%K). Ideal for detecting clean reversals and trend continuations. Designed for minimal visual noise and greater signal confidence. Interpretation: Values near 1.0 may suggest overbought conditions. Values near 0.0 may suggest oversold conditions. Crosses above 0.5 can signal bullish shifts, and below 0.5 bearish shifts. Recommended Settings: Default smoothing factor (alpha) is 0.7 — higher values make the output more responsive, while lower values smooth further. Inspired by concepts from Cybernetic Analysis for Stocks and Futures by John F. Ehlers.
Indicatore Pine Script®
di patricknegri
Stochastic Money Flow IndexThe Stochastic Money Flow Index (or Stochastic MFI ), is a variation of the classic Stochastic RSI that uses the Money Flow Index (MFI) rather than the Relative Strength Index (RSI) in its calculation. While the RSI focuses solely on price momentum, the MFI is a volume-weighted indicator, meaning it incorporates both price and volume data. The Stochastic MFI is intended to provide a more precise and sensitive reading of the MFI by measuring the level of the MFI relative to its range over a specific period. Settings Stochastic Settings %K Length : The number of periods used to calculate the Stochastic. (Default: 14) %K Smoothing : The SMA length used to 'smooth' the %K line. (Default: 3) %D Smoothing : The SMA length used to 'smooth' the %D line. (Default: 1) Money Flow Index Settings MFI Length : The number of periods used to calculate the Money Flow Index. (Default: 14) MFI Source : The source used to calculate the Money Flow Index. (Default: close) Additional Settings Show Overbought/Oversold Gradients? : Toggle the display of overbought/oversold gradients. (Default: true)
Indicatore Pine Script®
di iambrennanwalsh
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns. Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability. 🔵 CONCEPTS Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price. SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier. Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands. Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence. 🔵 FEATURES Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve. Clean Entry Signals: → 🢁 arrow printed when trend flips bullish below 50 (bottom reversals). → 🢃 arrow printed when trend flips bearish above 50 (top reversals). Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator. Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference. Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI. 🔵 HOW TO USE Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions. Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas. Combine with price-based SuperTrend or support/resistance zones for confluence. Suitable for scalping, swing trading, or momentum filtering across all timeframes. 🔵 CONCLUSION Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Indicatore Pine Script®
di BigBeluga
4
Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch🔵 Introduction The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently. At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions. It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals. In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes. 🔵 How to Use This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making. The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow. The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality. Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits. Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance. Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis. 🔵 Settings 🟣 Display Settings Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge. Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments. 🟣 Symbol Settings Each of the 10 symbol slots comes with a full set of customizable parameters : Enable Symbol : A checkbox to activate or hide each symbol from the table. Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.). Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D). RSI Length : Defines the period used in RSI calculation (default is 14). Stochastic Length : Sets the period for the Stochastic Oscillator. ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric. 🔵 Conclusion By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts. Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading. In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.
Indicatore Pine Script®
di TFlab
6
Robby DSS Bressert Colored DotsIntroduction The Robby DSS Bressert Colored Dots is a technical analysis tool designed to measure momentum and identify potential overbought or oversold conditions in a market. It is a visually enhanced version of the Double Smoothed Stochastic (DSS) indicator, which was developed to be a smoother and more responsive version of the traditional Stochastic Oscillator. This specific version provides at-a-glance information about momentum shifts through the use of colored dots, making it easy to interpret. The Core Engine: DSS Bressert The foundation of this indicator is the Double Smoothed Stochastic, a concept attributed to both William Blau and Walter Bressert, who introduced similar ideas. The goal of the DSS is to filter out the "noise" and false signals common in standard oscillators without introducing significant lag. It achieves this through a two-step smoothing process: First Smoothing: A standard Stochastic value is calculated based on the price. This value is then smoothed using an Exponential Moving Average (EMA). This creates a cleaner, less erratic line than the raw stochastic. Second Smoothing: The indicator then takes this newly smoothed line and performs a second Stochastic calculation on it. This result is then smoothed one final time with another EMA. This double-application of smoothing results in a very clean oscillator line that reacts quickly to price changes but is less prone to whipsaws. The Visual Modification: "Robby" Colored Dots The "Robby DSS Bressert Colored Dots" version takes the powerful DSS calculation and adds a unique visual layer for easier interpretation. Colored Dots: Instead of plotting a continuous line, the indicator displays a dot for each candle. The color of this dot instantly tells you about the indicator's momentum: Lime/Green dots appear when the DSS value is rising, indicating bullish or positive momentum. Red dots appear when the DSS value is falling, indicating bearish or negative momentum. If the value is unchanged, the dot retains the color of the previous one. The "Robby" Name: In trading communities like Forex Factory and MQL5, it's common for programmers to modify popular indicators. These enhanced versions are often named after the member who created or popularized them. The "Robby" version specifically refers to this popular colored-dot modification of the DSS Bressert. How to Interpret and Use It Traders typically use the Robby DSS Bressert Colored Dots in a few key ways: Momentum Shifts: The most straightforward signal is the change of dot color. A switch from red to lime can signal that downside momentum is waning and a potential move up is beginning. A switch from lime to red signals the opposite. Overbought & Oversold Conditions: Like a standard stochastic, the indicator uses levels (typically 80 and 20). When the dots are above 80, the market is considered overbought. A color change from lime to red in this zone can be a strong signal for a potential reversal down. When the dots are below 20, the market is considered oversold. A color change from red to lime here can signal a potential reversal up. Trend Confirmation: In a strong uptrend, traders might ignore red dots and use the appearance of lime dots in the oversold zone (or after a minor pullback) as a signal to join the trend. The opposite is true in a downtrend. --- This is just an indicator that can found publicly online for mt4, and just translated it to Pinescript.
Indicatore Pine Script®
di huatzhi
Dual Stochastic Enhanced (with Presets giua64)Script Title: Dual Stochastic Enhanced (with Presets giua64) Overview: This indicator enhances the traditional Dual Stochastic strategy, aiming to provide more filtered and potentially reliable trading signals. By integrating dynamic overbought/oversold levels via Bollinger Bands on the slow stochastic, a trend filter based on a moving average, momentum confirmation via RSI, and user-friendly selectable presets, "Dual Stochastic Enhanced" seeks to offer a more robust approach to identifying potential entry points. Key Features: Dual Stochastics: Utilizes a slow stochastic (configurable, e.g., 14 periods) as a context filter and a fast stochastic (configurable, e.g., 5 periods) as a signal trigger. Bollinger Bands on Slow Stochastic: Instead of fixed overbought/oversold levels (80/20), Bollinger Bands are applied to the %K line of the slow stochastic. This creates dynamic zones that adapt to the stochastic's own volatility. Trend Filter: A moving average (configurable type and length, e.g., EMA 100 as seen in the example chart for general context) on the price helps filter signals, allowing only trades aligned with the prevailing trend. RSI Confirmation: An RSI oscillator (configurable length, e.g., 14 periods) is used to confirm momentum. Signals require the RSI to cross certain thresholds to validate the strength of the move. User Presets: Includes presets for "Scalping," "Intraday," and "Swing trading," which quickly set all key parameters to suit different styles and timeframes. A "Custom" option is also available for full manual configuration. Clear Visual Signals: Long (green) and Short (red) arrows appear on the chart when all entry conditions are met. Active Zone Highlighting: The background of the indicator panel changes color (green or red) when "active zone" conditions (a combination of stochastics, trend, and RSI) are favorable. Information Panel: A table in the top-right corner of the indicator panel displays the current status of the selected preset, trend filter, RSI value, and stochastic levels. Signal Logic: A LONG signal is generated when: The fast stochastic %K crosses above its %D line. The slow stochastic %K line is below its lower Bollinger Band (dynamic oversold condition). The fast stochastic %K line is also in a low area (e.g., <25) to confirm the trigger is not premature. The closing price is above the trend moving average (uptrend). The RSI is above its long confirmation level (e.g., >40), indicating sufficient bullish momentum. A SHORT signal is generated when: The fast stochastic %K crosses below its %D line. The slow stochastic %K line is above its upper Bollinger Band (dynamic overbought condition). The fast stochastic %K line is also in a high area (e.g., >75). The closing price is below the trend moving average (downtrend). The RSI is below its short confirmation level (e.g., <60), indicating sufficient bearish momentum. How to Use: Select a Preset suitable for your trading style and the timeframe you are analyzing (e.g., Scalping for M1-M15, Intraday for M5-H1, Swing for H4-D1). Alternatively, choose "Custom" and manually adjust all parameters (stochastic lengths, smoothing, Bollinger Bands, Moving Average, RSI, confirmation thresholds). Observe the Information Panel for a quick understanding of the current conditions. Evaluate the arrow signals, always considering the broader market context, price action, and any other confluences (supports/resistances, chart patterns). The background highlighting can help quickly identify periods where conditions are aligned for potential trades. Disclaimer: This script is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Always thoroughly test any strategy or indicator on historical data and on a demo account before risking real capital. The author assumes no responsibility for any losses incurred from the use of this script. Author: giua64
Indicatore Pine Script®
di giua64
2