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Stochastic Enhanced [DCAUT]█ Stochastic Enhanced 📊 ORIGINALITY & INNOVATION The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles. Key Improvements: Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre) Maintains backward compatibility with traditional Stochastic calculations through SMA default setting Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition Comprehensive alert system covering crossovers and zone entries for systematic trade management Differentiation from Traditional Stochastic: Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs. 📐 MATHEMATICAL FOUNDATION Core Stochastic Calculation: The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period: Step 1: Raw %K Calculation %K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low) Where: Close = Current closing price Lowest Low = Lowest low over the %K Length period Highest High = Highest high over the %K Length period Result ranges from 0 (close at period low) to 100 (close at period high) Step 2: Smoothed %K Calculation %K = MA(%K_raw, K Smoothing Period, MA Type) Where: MA = Selected moving average algorithm (SMA, EMA, etc.) K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic Traditional Fast Stochastic uses %K_raw directly without smoothing Step 3: Signal Line %D Calculation %D = MA(%K, D Smoothing Period, MA Type) Where: %D acts as a signal line and moving average of %K D Smoothing typically set to 3 periods in traditional implementations Both %K and %D use the same MA algorithm for consistent behavior Available Smoothing Algorithms (21 Options): Standard Moving Averages: SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity Advanced Moving Averages: HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction LSMA (Least Squares): Linear regression based, fits trend line to data points DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive TMA (Triangular): Double-smoothed SMA, very smooth but slower response Adaptive & Intelligent Filters: T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering Advanced Digital Filters: Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively 📊 COMPREHENSIVE SIGNAL ANALYSIS Absolute Level Interpretation (%K Line): %K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries %K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing %K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend %K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend %K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing %K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries Crossover Signal Analysis: %K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level %K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move Advanced Divergence Patterns (%K Line vs Price): Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation Momentum Strength Analysis (%K Line Slope): Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing %K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following 🎯 STRATEGIC APPLICATIONS Mean Reversion Strategy (Range-Bound Markets): Identify ranging market conditions using price action or Bollinger Bands Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold) Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20) Set profit targets near opposite extreme or midline (50 level) Use tight stop-loss above recent swing high/low to protect against breakout scenarios Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction Trend Following with Momentum Confirmation: Identify primary trend direction using higher timeframe analysis or moving averages Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend) Use wider stops to accommodate normal trend volatility Add to position on subsequent pullbacks showing similar Stochastic pattern Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence Divergence-Based Reversal Strategy: Scan for divergence between price and Stochastic at swing highs/lows Confirm divergence with at least two price pivots showing divergent Stochastic readings Wait for %K to cross %D in direction of anticipated reversal as entry trigger Enter position in divergence direction with stop beyond recent swing extreme Target profit at key support/resistance levels or Fibonacci retracements Scale out as Stochastic reaches opposite extreme zone Multi-Timeframe Momentum Alignment: Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias Switch to lower timeframe (1H or 15M) for precise entry timing Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses Zone Transition Strategy: Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.) Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish Use zone midpoint (50) as dynamic support/resistance for position management Trail stops as Stochastic advances through favorable zones Exit when Stochastic fails to maintain momentum and reverses back into prior zone 📋 DETAILED PARAMETER CONFIGURATION %K Length (Default: 14): Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis %K Smoothing (Default: 3): Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+ %D Smoothing (Default: 3): Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only Smoothing Type Algorithm Selection: For Trending Markets: ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability For Ranging/Choppy Markets: Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification For Adaptive Market Conditions: KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges For Conservative Long-Term Analysis: SMA: Traditional choice, predictable behavior, widely understood characteristics RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely Source Selection: Close (Default): Standard choice using closing prices, most common and widely tested HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: Traditional SMA-Based Stochastic: Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods Equal treatment of trending and ranging markets, no adaptation to volatility changes Predictable behavior but suboptimal in varying market regimes Enhanced Version with Adaptive Algorithms: KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA Performance improvements vary by algorithm selection and market conditions Signal Quality Improvements: Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals Comparison with Standard Implementations: Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments Flexibility Advantages: Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends) Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture Backtesting capability with algorithm as optimization parameter for strategy development Limitations and Considerations: Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals USAGE NOTES This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions. Important Considerations: Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm Divergence patterns require confirmation from price action or additional indicators before trading Past indicator characteristics and backtested results do not guarantee future performance Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation Test selected algorithm on historical data of specific instrument and timeframe before live trading Market regime changes may require algorithm adjustment for optimal performance The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
Pine Script® Indikator
von DCAUT
🐬RSI_CandleRSI_Candle Calculates the RSI based on the open, high, low, and close prices, and displays it in the form of candles. The overbought and oversold zones are highlighted with background colors, which become darker as the RSI value approaches 100 or 0. ----- RSI_Candle RSI를 시가, 고가, 저가, 종가로 계산하여 캔들로 보여줍니다. 과매수/과매도 구간에서 배경색으로 보여주며, 100/0에 가까울수록 배경색이 짙어집니다. -----
Pine Script® Indikator
von BossOfDolphinGang_
Reversal Probability Meter PRO [optimized for Xau/Usd m5]🎯 Reversal Probability Meter PRO A powerful multi-factor reversal probability detector that calculates the likelihood of bullish or bearish reversals using RSI, EMA bias, ATR spikes, candle patterns, volume spikes, and higher timeframe (HTF) trend alignment. 🧩 MAIN FEATURES 1. Reversal Probability (Bullish & Bearish) Displays two key metrics: Bull % — probability of bullish reversal Bear % — probability of bearish reversal These are computed using RSI, EMAs, ATR, demand/supply zones, candle confirmations, and volume spikes. 📊 Interpretation: Bull % > 70% → Buying pressure building up Bull % > 85% → Strong bullish reversal confirmed Bear % > 70% → Selling pressure building up Bear % > 85% → Strong bearish reversal confirmed 2. Alert Probability Threshold Adjustable via alertThreshold (default = 85%). Alerts trigger only when probability ≥ threshold, and confirmed by zone + volume spike + candle pattern. 🔔 Alerts Available: ✅ Bullish Smart Reversal 🔻 Bearish Smart Reversal To activate: Right-click chart → “Add alert” → choose the alert condition from the indicator. 3. Demand / Supply Zone Detection The script determines the price position within the last zoneLook (default 30) bars: 🟢 DEMAND → Lower 35% of range (potential bounce zone) 🔴 SUPPLY → Upper 35% of range (potential rejection zone) ⚪ MID → Neutral area 📘 Purpose: Validates reversals based on context: Bullish only valid in Demand zones Bearish only valid in Supply zones 4. Higher Timeframe (HTF) Trend Alignment Reads EMA bias from a higher timeframe (default = 15m) for trend confirmation. Reversals against HTF trend are automatically weighted down prevents false countertrend signals. 📈 Example: M5 chart under M15 downtrend → Bullish probability is reduced. 5. Candle Confirmation Patterns Two key price action confirmations: Bullish: Engulfing or Pin Bar Bearish: Engulfing or Pin Bar A valid reversal requires both a candle confirmation and a volume spike. 6. Volume & ATR Spike Filters Volume Spike: volume > SMA(20) × 1.3 ATR Spike: ATR > SMA(ATR, 50) × volMult 🎯 Ensures that only strong market moves with real energy are considered valid reversals. 7. Reversal Momentum Histogram A color-gradient oscillator showing the momentum difference: Green = bullish dominance Red = bearish dominance Flat near 0 = neutral Controlled by showOscillator toggle. 8. Smart Info Panel A compact dashboard displayed on the top-right with 4 rows: Row Info Description 1 Bull % Bullish reversal probability 2 Bear % Bearish reversal probability 3 Zone Market context (DEMAND / SUPPLY / MID) 4 Signal Strength Current signal intensity (probability %) Dynamic Colors: 90% → Bright (strong signal) 75–90% → Yellow/Orange (medium) <75% → Gray (weak) 9. Sensitivity Mode Fine-tunes indicator reactivity: 🟥 Aggressive: Detects reversals early (more signals, less accurate) 🟨 Normal: Balanced, default mode 🟩 Conservative: Filters only strongest reversals (fewer but more reliable) 10. Custom Color Options Customize bullish and bearish colors via bullBaseColor and bearBaseColor inputs for your preferred chart theme. ⚙️ HOW TO USE Add to Chart → Paste the script into Pine Editor → “Add to chart”. Select Timeframe → Best for M5–M30 (scalping/intraday). → H1–H4 for swing trading. Monitor the Info Panel: Bull % ≥ 85% + Zone = Demand → Strong bullish reversal signal Bear % ≥ 85% + Zone = Supply → Strong bearish reversal signal Watch the Histogram: Rising green bars = bullish momentum gaining Deep red bars = bearish momentum gaining Enable Alerts: Right-click chart → “Add alert” Choose Bullish Smart Reversal or Bearish Smart Reversal 🧠 TRADING TIPS Use Conservative mode for noisy lower timeframes (M5–M15). Use Aggressive mode for higher timeframes (H1–H4). Combine with manual support/resistance or zone boxes for precision entries. Personally i use Order Block. Best reversal setups occur when all align: Bull % > 85% Zone = DEMAND Volume spike present Candle = Bullish engulfing HTF trend supportive
Pine Script® Indikator
von aganac3
ADX - Globx Options & Futures 2.0The ADX Globx Options & Futures is a custom-built trend strength indicator designed to replicate and enhance the classic Average Directional Index (ADX) model, commonly used in professional trading platforms such as IQ Option. This version is optimized for options and futures trading, providing precise directional strength readings through adaptive smoothing and configurable parameters. Concept and Logic This indicator measures the strength of the current trend, regardless of its direction (bullish or bearish), by comparing directional movement between price highs and lows over a defined period. It uses three main components: +DI (Positive Directional Indicator): represents bullish strength. –DI (Negative Directional Indicator): represents bearish strength. ADX (Average Directional Index): measures the intensity of the prevailing trend, independent of direction. The script follows the original logic proposed by J. Welles Wilder Jr., but introduces enhanced smoothing flexibility. Users can choose between EMA (Exponential Moving Average) and Wilder’s RMA (Running Moving Average) for both DI and ADX calculations, allowing closer alignment with various platform implementations (IQ Option, MetaTrader, etc.). How It Works Directional Movement Calculation The script computes upward and downward movements (+DM and –DM) by comparing the differences in highs and lows between consecutive candles. Only positive directional changes that exceed the opposite side are considered. This ensures each bar contributes only one valid directional movement. True Range and Smoothing The True Range (TR) is calculated using ta.tr(true) to include price gaps—replicating how professional derivatives platforms account for volatility jumps. Both TR and DM values are smoothed using the selected averaging method (EMA or Wilder). Directional Index and ADX The smoothed +DI and –DI values are normalized over the True Range to form the Directional Index (DX), which measures the percentage difference between the two. The ADX is then derived by smoothing the DX values, providing a stable reading of overall market strength. Visual Representation The ADX (white line) indicates the overall trend strength. The +DI (dark blue) and –DI (dark red) lines show which side (bullish or bearish) is currently dominant. Reference levels at 20 and 25 serve as strength thresholds: Below 20 → Weak or sideways market. Above 25 → Strong and directional trend. Usage and Interpretation When ADX rises above 25, the market shows a strong trend — use +DI > –DI for bullish confirmation, or the opposite for bearish momentum. A falling ADX suggests decreasing trend strength and potential consolidation. The default parameters (ADX Length = 34, DI Length = 34, both smoothed by EMA) match IQ Option’s internal ADX configuration, ensuring consistency between platforms. Works on any timeframe or asset class, but is especially tuned for futures and options volatility dynamics. Originality and Improvements Unlike many open-source ADX indicators, this version: Recreates IQ Option’s 34-length EMA-based ADX calculation with exact parameter alignment. Provides selectable smoothing algorithms (EMA or Wilder) to switch between modern and classic formulations. Uses dark-theme-optimized visuals with fine line weight and subtle contrast for clean visibility. Maintains constant guide levels (20/25) rendered globally for precision and style compliance in Pine Script v6. Is fully rewritten for Pine Script v6, ensuring compatibility and optimized execution. Recommended Use Combine with trend-following systems or breakout strategies. Ideal for identifying market strength before engaging in options directionals or futures entries. Use the ADX to confirm breakout momentum or filter sideways markets. Disclaimer This script is for educational and analytical purposes. It does not constitute financial advice or a trading signal. Users are encouraged to validate the indicator within their own trading strategies and risk frameworks.
Pine Script® Indikator
von enoccv_gxof
MTF RSI Heatmap)# MTF RSI Heatmap — v2.7.2 **Hybrid Higher-TF Trend + Intraday Impulse Detection + Smart Counters & Alerts** Turn your lower pane into a **multi-timeframe market bias dashboard**. This heatmap blends classic RSI momentum with a **hybrid Daily/Weekly MA-stack trend** and an **intraday impulse override** that flags fast moves *as they happen*. Clean, configurable, and built for real trading flow. --- ## What it shows * **6 stacked rows = 6 timeframes** (bottom → top). * **Colors**: Green = Bull, Red = Bear, Yellow = Neutral. * **Header counter**: `Bull X/6 | Bear Y/6` = live agreement across visible rows. * **Impulse markers** ▲/▼ on intraday rows (5m/15m/60m/240m) when a shock move triggers. * **Signal bar**: A thin column above the top row when at least **N of 6** rows align (configurable). --- ## Why it’s different * **Impulse Override (intraday)** Detects sharp moves using % change over the last *N* bars, optionally gated by **volume > SMA × multiplier**. This catches dumps/pops earlier than RSI alone. * **Hybrid D/W (structure over noise)** Daily/Weekly rows can use an **MA stack (8/21/55)** instead of RSI for a more stable higher-timeframe trend read. Optional **price > fast MA** filter for stricter confirmation. * **Intrabar option** Flip rows **during the bar** for early reads (accepting repaint on TF close), or keep it close-only for no surprises. --- ## Key features * 🌈 **Theme**: Classic or High-Contrast colors. * 🧠 **RSI thresholds**: Bull above 55, Bear below 45 (editable). * 🧲 **RSI smoothing** (EMA) for intraday rows to reduce flicker. * 🧰 **Compact left legend** with adjustable text size & opacity. * 🚨 **Alerts**: * **Impulse-only** (per TF and “any intraday”) * **N-of-6 confirmation** (bull/bear) --- ## Recommended settings (fast opens & news) * **Impulse**: `Bars = 1–2`, `Threshold = 0.25–0.35%`, `Vol confirm = ON`, `Multiplier = 1.3–1.5`. * **Hybrid D/W**: `ON`, `EMA 8/21/55`, `Price filter = ON`. * **Intrabar**: `ON` if you want intra-bar updates (repaints at TF close). --- ## How to read it 1. **Row scan**: Are the bottom (fast) rows aligning first? That’s early momentum. 2. **Header counter**: Look for 4+/6 agreement as momentum broadens. 3. **Signal bar**: Acts as a “go/no-go” confirmation when your threshold is met. 4. **Impulse ▲/▼**: Use as a **heads-up** for acceleration; then watch if rows cascade in that direction. --- ## Alerts (exact names) Create alerts with these built-ins: * **Impulse UP — any intraday** * **Impulse DOWN — any intraday** * **Impulse UP — TF1 / TF2 / TF3 / TF4** * **Impulse DOWN — TF1 / TF2 / TF3 / TF4** * **Bull confirmation** (N-of-6) * **Bear confirmation** (N-of-6) Tip: Use **Once per bar** or **Once per bar close** depending on whether you enabled *Intrabar*. --- ## Inputs overview * **Timeframes & visibility** per row. * **RSI**: length, bull/bear thresholds, optional EMA smoothing (intraday only). * **Impulse**: bars, %, volume confirm, SMA length, multiplier, markers. * **Hybrid D/W**: MA type (EMA/SMA/HMA), 8/21/55 lengths, price filter. * **Theme & Legend**: color theme, label size (Tiny/Small/Normal), legend opacity. * **Signal**: N required for confirmation (default 4). --- ## Pro tips * Combine with **session opens**, **VWAP**, and **liquidity levels**. * If you trade breakouts, let **impulse triggers** cue attention, then wait for **N-of-6** confirmation. * For swing bias, lean on **Hybrid D/W**—it changes slower, but with intent. --- ## Notes & limitations * **Intrabar = repaint expected** on higher-TF closes—by design for earlier context. * Colors/thresholds are general guidance, not signals by themselves. * Past performance ≠ future results; **this is not financial advice**. --- If you enjoy this, drop a ⭐ and tell me what you want next: background shading on confirmation, tooltips with RSI/ROC per row, or a MACD/RSI hybrid mode. Trade sharp! ✨
Pine Script® Indikator
von andrefox333
RSI Bars - OnlyFlowThis indicator applies the RSI (Relative Strength Index) to candle coloring so that bar colors reflect momentum conditions instead of a fixed scheme. RSI Logic: Bars shift color when RSI values move into overbought or oversold regions, with intensity scaled by how far RSI extends beyond the thresholds. Gradient / Step Mode: Choose between a smooth gradient or a 3-step palette to visualize strength. Directional Neutral Colors: Neutral zones can follow candle direction for clearer trend context. Customization: Overbought/oversold levels and color palettes are user-configurable. Optional RSI Panel: An RSI plot with overbought/oversold lines can be enabled in a separate pane if desired. This tool is meant to give traders a more intuitive view of RSI conditions directly on price bars, helping to quickly see momentum extremes without needing to glance away from the chart.
Pine Script® Indikator
von ofderk
Relative Strength index 2xRelative Strength Index 2× The RSI*2 by AZly is an advanced dual-RSI indicator that allows traders to analyze momentum from two distinct perspectives — short-term and medium-term — on a single chart. It combines RSI precision with multi-timeframe flexibility, giving a clear view of both immediate and underlying momentum trends. ⚙️ How It Works This indicator calculates and plots two fully independent RSI lines, each with customizable settings: RSI 1 (Main RSI) : Captures medium-term momentum, ideal for trend and context. RSI 2 (Fast RSI) : Reacts quickly to short-term moves, identifying overbought and oversold conditions. Both RSIs include: Custom timeframe, source, and smoothing method (SMA, EMA, WMA, VWMA, HMA, SMMA). Gradient zones to visualize momentum strength and reversals. Adjustable levels and colors for clear chart presentation. 📘 Andrew Cardwell Zones (RSI 1) RSI 1 uses Andrew Cardwell’s “range rules” to distinguish bullish and bearish momentum phases: Bullish Range: RSI holds between 40–80, finding support around 40–45. Bearish Range: RSI stays between 20–60, with rallies capped near 55–60. A breakout from one range into another often signals a trend phase transition — marking potential trend beginnings or endings. ⚡ Overbought/Oversold Zones (RSI 2) RSI 2 is designed for fast reactions and reversal detection: 95–100: Extreme overbought zone — potential exhaustion and short setup. 5–0: Extreme oversold zone — potential exhaustion and long setup. Crossing these levels highlights short-term momentum exhaustion , often preceding pullbacks or strong price reversals. 💡 Why It’s Better Compared to traditional RSI indicators, this version provides superior control and insight: Dual independent RSIs with separate timeframes and smoothing. Cardwell-style range recognition for better context of trend strength. Extreme bands for fast RSI 2 to time entries with precision. Dynamic gradient zones for intuitive visual interpretation. Multi-timeframe flexibility that adapts to any trading style. 🎯 Trading Concepts Trend Confirmation: RSI 1 above 50 (bullish range) confirms uptrend bias; below 50 (bearish range) confirms downtrend. Reversal Setup: RSI 2 hitting extreme zones (above 95 or below 5) while RSI 1 stays steady often signals exhaustion and reversal setups. Divergence Confirmation: When RSI 2 diverges from price and RSI 1 supports the direction, it strengthens reversal probability. Range Transition: A shift in RSI 1’s range (from bearish to bullish or vice versa) confirms a major change in market structure. 🕒 Trade Timing (Entry Ideas) Timing is one of the indicator’s strongest features. Wait for RSI 2 to reach an extreme zone (above 95 or below 5). Then confirm the direction with RSI 1 — trades are most effective when RSI 1’s range aligns with the anticipated move. Buy Setup: RSI 1 in bullish range + RSI 2 rebounds upward from the 5 zone. Sell Setup: RSI 1 in bearish range + RSI 2 turns down from the 95 zone. Best Timing: Enter when RSI 2 crosses back inside the 10–90 range in the same direction as RSI 1’s trend. This captures momentum just as it resumes — avoiding early or late entries. 🔷 M & W Patterns (RSI 2) RSI 2 also reveals short-term exhaustion structures: “ M ” Formation: Two RSI peaks near 95–100 — bearish reversal setup. “ W ” Formation: Two RSI troughs near 0–5 — bullish reversal setup. These shapes often appear before price reversals, offering early momentum clues. ⚠️ Important Trading Guidance It is strongly recommended not to trade against the prevailing trend or attempt to pick exact tops or bottoms. The indicator works best when used in alignment with trend direction. Counter-trend entries carry higher risk and lower probability. 📊 Recommended Use Ideal for momentum traders, scalpers, and multi-timeframe analysts seeking precise timing and context. Works on all markets — forex, crypto, stocks, indexes, and commodities.
Pine Script® Indikator
von YunakAZly
Momentum Variance OscillatorWhat MVO measures: -PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume. - > 0 = bullish pressure; < 0 = bearish pressure. -|PV| larger ⇒ stronger momentum. -Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts. -Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger). -Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push. -Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading. -(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance. -Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown. Core signals & how to trade them: 1) Define the regime: -Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient. -Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient. -Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup). 2) Entries: Momentum entry: -Long: PV crosses above Signal while PV > 0. -Short: PV crosses below Signal while PV < 0. Breakout/acceleration: -Long add-on: PV crosses above +obLevel (extreme top) and holds. -Short add-on: PV crosses below −obLevel (extreme bottom) and holds. -Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling. 3) Exits / risk: -Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you. -Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line. -Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip). 4) Practical setup - Suggested defaults (good starting point): -Signal length: 26 -Volume power: 0.50 -obLevel (extreme): 2.00 -weakLvl: 0.75 -Show histogram & dots: On -Auto-Tune (recommended) -Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)). -If you want to see the top combos, enable the Optimizer Table (Top-3). 5) Visual options -Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read). -Extremes – paint only when beyond ±obLevel. -Cross Signals – paint only on the bar that crosses an extreme. -Background on breach: A one-bar tint when PV crosses an extreme. 6) Example playbook: Long setup: -Zero line shows bull gradient and PV > 0. -PV crosses above Signal (entry). -If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR. -Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0. Short setup mirrors the above on the bear side. 7) Tips to avoid common traps: -Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip). -Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait. -Align with structure: higher-timeframe trend and SR improve expectancy. -Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes. 8) Alerts you can set: -Bull Signal X – PV crossed above Signal -Bear Signal X – PV crossed below Signal -Bull Baseline X – PV crossed above 0 -Bear Baseline X – PV crossed below 0
Pine Script® Indikator
von s3raphic333
Katana_Fox RSI Pro - Advanced Momentum Indicator with Clear BUOverview: Connors RSI Pro is a sophisticated enhancement of the classic Connors RSI indicator, designed for traders who demand professional-grade tools. This premium version combines multiple momentum components with intelligent signaling and beautiful visualization to give you an edge in the markets. Key Features: 🎯 Clear BUY/SELL Signal System BUY signals in green when CRSI crosses above oversold level SELL signals in red when CRSI crosses below overbought level Clean, professional labels that are easy to read Customizable overbought/oversold levels (70/30 default) 🎨 Professional Visualization Modern color scheme that adapts to market conditions Customizable background fills for better readability Smooth, easy-to-read line plotting ⚡ Enhanced Calculations Triple-component momentum analysis (RSI, UpDown RSI, Percent Rank) EMA smoothing for reduced noise and false signals Configurable lengths for each component 🔔 Advanced Alert System 4 distinct alert conditions for various market scenarios Compatible with TradingView's native alert system Perfect for automated trading strategies Input Parameters: RSI Length (3): Period for standard RSI calculation UpDown Length (2): Period for UpDown RSI component ROC Length (100): Period for Rate of Change percentile ranking Signal Alerts: Toggle BUY/SELL signals on/off Custom Colors: Choose between classic and modern color schemes Trading Signals: BUY (Green Label): Bullish signal when CRSI crosses above oversold level SELL (Red Label): Bearish signal when CRSI crosses below overbought level Background Colors: Visual zones indicating momentum strength Ideal For: Swing traders seeking momentum reversals Day traders looking for overbought/oversold conditions Algorithmic traders needing reliable signals Technical analysts wanting multi-timeframe confirmation How to Use: Oversold Bounce: Enter long when CRSI shows BUY signal above 30 Overbought Rejection: Enter short when CRSI shows SELL signal below 70 Trend Confirmation: Use the 50-level crossover for trend direction Divergence Trading: Look for price/indicator divergences at extremes Upgrade your trading arsenal with Connors RSI Pro - where professional analytics meet clear trading signals!
Pine Script® Indikator
von Katana_Fox
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs. Why It's Different from Other Strategies Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips). How It Helps Traders - Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue. - Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like . - Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits. - Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise. Why This Is Not a Mashup This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in: - Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`. - Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts. - Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters. All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos. Input Configurations Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing, then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders. RSI / Trigger Group: The Heart of Momentum Detection This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale. - RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns. - Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups. - Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution. - Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision. - Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike. - Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies. - Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks. For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests. Trend / Filters Group: Keeping You on the Right Side of the Market These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends. - EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops. - EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing. Optional Hour Window Group: Timing Your Strikes Avoid bad hours like lunch lulls or after-hours tricks. - Restrict by Session?: Yes/no for using exact market hours. Default off. - Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise. - Restrict by Hour Range?: Fallback yes/no for simple hours. Default off. - Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume. Volume Filter Group: No Volume, No Party Confirms conviction—big moves need big participation. - Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume. - Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm. Risk / Exits Group: Protecting and Profiting Smartly Dynamic stops based on volatility (ATR = Average True Range) keep things realistic. - ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price. - ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk - Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance. - Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry. - Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run. These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style. Always backtest changes—small shifts can flip a 40% win rate to 50%+! Outputs (Visuals & Alerts): - Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price. - Labels: Green "LONG" arrow with RSI value on entries. - Background: Light green highlight on signal bars. - Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications). Entry-Exit Logic Entry (Long Only, One Per Day): 1. Daily Reset: New day clears trade gate and (if required) rearm status. 2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled). 3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window). 4. Execute: Enter long at close; set daily flag to block repeats. Exit: - Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled. - Take-Profit: Entry + (Risk * 2.0) – fixed RR. - Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension. No shorts or hedging—pure long bias. Formulae Used - RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100). - EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters. - ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult). - Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter. - Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover. - Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold. - Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator. - Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc. FAQ Q: Why only one trade/day? A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots. Q: Does it work on all assets/timeframes? A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+). Q: How to optimize? A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data. Q: Alerts don't fire—why? A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only." Q: Trailing stop too loose? A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection. Glossary - Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger. - Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals. - Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers. - R Multiple: Risk units (e.g., 2R = 2x stop distance as target). - Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation. Recommendations - Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate. - Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise. - Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats). - Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future. - Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility. Strategy Properties & Backtesting Setup FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks. Initial Capital $100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations. Base Currency Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets. Order Size 1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code. Pyramiding 0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure. Commission 0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners. Verify Price for Limit Orders 0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy. Slippage 0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens. These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying! ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® Strategie
von kedarcquant
VWAP Deviation Oscillator [BackQuant]VWAP Deviation Oscillator Introduction The VWAP Deviation Oscillator turns VWAP context into a clean, tradeable oscillator that works across assets and sessions. It adapts to your workflow with four VWAP regimes plus two rolling modes, and three deviation metrics: Percent, Absolute, and Z-Score. Colored zones, optional standard deviation rails, and flexible plot styles make it fast to read for both trend following and mean reversion. What it does This tool measures how far price is from a chosen VWAP and expresses that gap as an oscillator. You can view the deviation as raw price units, percent, or standardized Z-Score. The plot can be a histogram or a line with optional fills and sigma bands, so you can quickly spot polarity shifts, overbought and oversold conditions, and strength of extension. VWAP modes track a session VWAP that resets (4H, Daily, Weekly) or a rolling VWAP that updates continuously over a fixed number of bars or days. Deviation modes let you choose the lens: Percent, Absolute, or Z-Score. Each highlights different aspects of stretch and mean pressure. Visual encoding uses a 10-zone color palette to grade the magnitude of deviation on both sides of zero. Volatility guards compute mode-specific sigma so thresholds are stable even when volatility compresses. Why this works VWAP is a high signal anchor used by institutions to gauge fair participation. Deviations around VWAP cluster in regimes: mild oscillations within a band, decisive pushes that signal imbalance, and standardized extremes that often precede either continuation or snapback. Expressing that distance as a single time series adds clarity: bias is the oscillator’s sign, risk context is its magnitude, and regime is the way it behaves around sigma lines. How to use it Trend following Favor the side of the zero line. Bullish when the oscillator is above zero and making higher swing highs. Bearish when below zero and making lower swing lows. Use +1 sigma and +2 sigma in your mode as strength tiers. Pullbacks that hold above zero in uptrends, or below zero in downtrends, are often continuation entries. Mean reversion Fade stretched readings when structure supports it. Look for tests of +2 sigma to +3 sigma that fail to progress and roll back toward zero, or the mirror on the downside. Z-Score mode is best when you want standardized gates across assets. Percent mode is intuitive for intraday scalps where a given percent stretch tends to mean revert. Session playbook Use Daily or Weekly VWAP for intraday or swing context. Rolling modes help when the asset lacks clean session boundaries or when you want a continuous anchor that adapts to liquidity shifts. Key settings VWAP computation VWAP Mode = 4 Hours, Daily, Weekly, Rolling (Bars), Rolling (Days). Session modes reset the VWAP when a new session begins. Rolling modes compute VWAP over a fixed trailing window. Rolling (Lookback: Bars) controls the trailing bar count when using Rolling (Bars). Rolling (Lookback: Days) converts days to bars at runtime and uses that trailing span. Use Close instead of HLC3 switches the price reference. HLC3 is smoother. Close makes the anchor track settlement more tightly. Deviation measurement Deviation Mode Percent : 100 * (Price / VWAP - 1). Good for uniform scaling across instruments. Absolute : Price - VWAP. Good when price units themselves matter. Z-Score : Standardizes the absolute residual by its own mean and standard deviation over Z/Std Window . Ideal for cross-asset comparability and regime studies. Z/Std Window sets the mean and standard deviation window for Z-Score mode. Volatility controls Percent Mode Volatility Lookback estimates sigma for percent deviations. Absolute Mode Volatility Lookback estimates sigma for absolute deviations. Minimum Sigma Guard (pct pts) prevents the percent sigma from collapsing to near zero in extremely quiet markets. Visualization Plot Type = Histogram or Line. Histogram emphasizes impulse and polarity changes. Line emphasizes trend waves and divergences. Positive Color / Negative Color define the palette for line mode. Histogram uses a 10-bucket gradient automatically. Show Standard Deviations plots symmetric rails at ±1, ±2, ±3 sigma in the current mode’s units. Fill Line Oscillator and Fill Opacity add a soft bias band around zero for line mode. Line Width affects both the oscillator and the sigma rails. Reading the zones The oscillator’s color and height map deviation to nine graded buckets on each side of zero, with deeper greens above and deeper reds below. In Percent and Absolute modes, those buckets are scaled by their mode-specific sigma. In Z-Score mode the bucket edges are fixed at 0.5, 1.0, 2.0, and 2.8. 0 to +1 sigma weak positive bias, usually rotational. +1 to +2 sigma constructive impulse. Pullbacks that hold above zero often continue. +2 to +3 sigma strong expansion. Watch for either trend continuation or exhaustion tells. Beyond +3 sigma statistical extreme. Requires structure to avoid fading too soon. Mirror logic applies on the negative side. Suggested workflows Trend continuation checklist Pick a session VWAP that matches your timeframe, for example Daily for intraday or Weekly for position trades. Wait for the oscillator to hold the correct side of zero and for a sequence of higher swing lows in the oscillator (uptrend) or lower swing highs (downtrend). Buy pullbacks that stabilize between zero and +1 sigma in an uptrend. Sell rallies that stabilize between zero and -1 sigma in a downtrend. Use the next sigma band or a prior price swing as your target reference. Mean reversion checklist Switch to Z-Score mode for standardized thresholds. Identify tests of ±2 sigma to ±3 sigma that fail to extend while price meets support or resistance. Enter on a polarity change through the prior histogram bar or a small hook in line mode. Fade back to zero or to the opposite inner band, then reassess. Notes on the three modes Percent is easy to reason about when you care about proportional stretch. It is well suited to intraday and multi-asset dashboards. Absolute tracks cash distance from VWAP. This is useful when instruments have tight ticks and you plan risk in price units. Z-Score standardizes the residual and is best for quant studies, cross-asset comparisons, and threshold research that must be scale invariant. What the alerts can tell you Polarity changes at zero can mark the start or end of a leg. Crosses of ±1 sigma identify overbought or oversold in the current mode’s units. Zone changes signal an upgrade or downgrade in deviation strength. Troubleshooting and edge cases If your instrument has long flat periods, keep Minimum Sigma Guard above zero in Percent mode so the rails do not vanish. In Rolling modes, very short windows will respond quickly but can whip around. Session modes smooth this by resetting at well known boundaries. If Z-Score looks erratic, increase Z/Std Window to stabilize the estimate of mean and sigma for the residual. Final thoughts VWAP is the anchor. The deviation oscillator is the narrative. By separating bias, magnitude, and regime into a simple stream you can execute faster and review cleaner. Pick the VWAP mode that matches your horizon, choose the deviation lens that matches your risk framework, and let the color graded zones guide your decisions.
Pine Script® Indikator
von BackQuant
Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference. Key Features: 1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity. 4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30). Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting. HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation. Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation. Usage Instructions Installation: Add the indicator to an IMX/USDT 1H chart on TradingView. Signal Interpretation: lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low). green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high). Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings. Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions. Advantages Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions. Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management. Visualization: Past BUY points enable easy backtesting and pattern recognition. Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross). Limitations Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes. Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended. Manual Management: Stop-loss and take-profit require user discretion.
Pine Script® Indikator
von coinmong
Tunç ŞatıroğluTunç Şatıroğlu's Technical Analysis Suite Description: This comprehensive Pine Script indicator, inspired by the technical analysis teachings of Tunç Şatıroğlu, integrates six powerful TradingView indicators into a single, user-friendly suite for robust trend, momentum, and divergence analysis. Each component has been carefully selected and enhanced by beytun to improve functionality, performance, and visual clarity, aligning with Şatıroğlu's approach to technical analysis. The default configuration is meticulously set to match the exact settings of the individual indicators as used by Tunç Şatıroğlu in his training, ensuring authenticity and ease of use for followers of his methodology. Whether you're a beginner or an experienced trader, this suite provides a versatile toolkit for analyzing markets across multiple timeframes. Included Indicators: 1. WaveTrend with Crosses (by LazyBear, modified): A momentum oscillator that identifies overbought/oversold conditions and trend reversals with clear buy/sell signals via crosses and bar color highlights. 2. Kaufman Adaptive Moving Average (KAMA) (by HPotter, modified): A dynamic moving average that adapts to market volatility, offering a smoother trend-following signal. 3. SuperTrend (by Alex Orekhov, modified): A trend-following indicator that plots dynamic support/resistance levels with buy/sell signals and optional wicks for enhanced accuracy. 4. Nadaraya-Watson Envelope (by LuxAlgo, modified): A non-linear envelope that highlights potential reversals with customizable repainting options for smoother outputs. 5. Divergence for Many Indicators v4 (by LonesomeTheBlue, modified): Detects regular and hidden divergences across multiple indicators (MACD, RSI, Stochastic, CCI, Momentum, OBV, VWMA, CMF, MFI, and more) for early reversal signals. 6. Ichimoku Cloud (TradingView built-in, modified): A multi-faceted indicator for trend direction, support/resistance, and momentum, with enhanced visuals for the Kumo Cloud. Key Features: - Authentic Default Settings : Pre-configured to mirror the exact parameters used by Tunç Şatıroğlu for each indicator, ensuring alignment with his proven technical analysis approach. - Customizable Settings : Enable/disable individual indicators and fine-tune parameters to suit your trading style while retaining the option to revert to Şatıroğlu’s defaults. - Enhanced User Experience : Modifications improve visual clarity, performance, and usability, with options like repainting smoothing for Nadaraya-Watson and adjustable Ichimoku projection periods. - Multi-Timeframe Analysis : Combines trend-following, momentum, and divergence tools for a holistic view of market dynamics. - Alert Conditions : Built-in alerts for SuperTrend direction changes, buy/sell signals, and divergence detections to keep you informed. - Visual Clarity : Overlays (KAMA, SuperTrend, Nadaraya-Watson, Ichimoku) and pane-based indicators (WaveTrend, Divergences) are clearly distinguished, with customizable colors and styles. Notes: - The Nadaraya-Watson Envelope and Ichimoku Cloud may repaint in their default modes. Use the "Repainting Smoothing" option for Nadaraya-Watson or adjust Ichimoku settings to mitigate repainting if preferred. - Published under the MIT License, with components licensed under GPL-3.0 (SuperTrend), CC BY-NC-SA 4.0 (Nadaraya-Watson), MPL 2.0 (Divergence), and TradingView's terms (Ichimoku Cloud). Usage: Add this indicator to your TradingView chart to leverage Tunç Şatıroğlu’s exact indicator configurations out of the box. Customize settings as needed to align with your strategy, and use the combined signals to identify trends, reversals, and divergences. Ideal for traders following Şatıroğlu’s methodologies or anyone seeking a powerful, all-in-one technical analysis tool. Credits: Original authors: LazyBear, HPotter, Alex Orekhov, LuxAlgo, LonesomeTheBlue, and TradingView. Modifications and integration by beytun . License: Published under the MIT License, incorporating code under GPL-3.0, CC BY-NC-SA 4.0, MPL 2.0, and TradingView’s terms where applicable.
Pine Script® Indikator
von beytun
5
RSI: chart overlay This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30. By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window. The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms. Key components and calculation breakdown: Wilder’s EMA Used as the anchor point for measuring price position. myEMA = ta.rma(close, Length) Volatility Unit Derived from the EMA of absolute close-to-close price changes. CC_vol = ta.rma(math.abs(close - close ), Length) Normalization Factor Scales the volatility unit to align with the RSI formula’s structure. normalization_factor = 1 / (Length - 1) Upper and Lower Boundaries Defines price bands corresponding to selected RSI threshold values. up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor) down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor) Inputs RSI length Upper boundary – RSI level above 50 Lower boundary – RSI level below 50 ON/OFF toggle for 50-point line (EMA of close prices) ON/OFF toggle for overbought/oversold coloring (use with line chart) Interpretation: Each band on the chart represents a chosen RSI level. When price touches a band, RSI is at that threshold. The distance between moving average and bands adjusts automatically with volatility and your selected RSI length. All calculations remain fully consistent with standard RSI values. Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
Pine Script® Indikator
von AdaptiveRSI
6
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions. 🔶 Advanced Statistical Framework Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes. 🔶 Dual Ratio Integration System Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes. // Omega Ratio Calculation Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period) Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period) Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na // Sortino Ratio Framework Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period) Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor) // Aggregated Score Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA) 🔶 Dynamic Band Calculation Engine Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic. 🔶 Signal Generation Framework Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment. 🔶 Enhanced Visual Architecture Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels. snapshot 🔶 Risk-Adjusted Performance Analysis Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally. 🔶 Multi-Timeframe Adaptability Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations. 🔶 Performance Optimization Framework Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods. This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
Pine Script® Indikator
von AlphaExtract
2
Trend/Range Composite (Single-Line) v1.4🔹 Step 1: Add it to your chart Copy the whole script. In TradingView → Pine Editor → paste it. Click Add to chart. It will show a white line in a subwindow, plus thresholds at 40 and 60, and a colored background. Optional: You’ll see a status box (top-right of chart) with details like ADX, ATR, slope, etc. 🔹 Step 2: Understand the Score The indicator compresses all signals into a 0–100 “Trend Strength Score”: ≥ 60 = TREND (teal background) → Market is trending, consider trend strategies like vertical spreads, runners, breakouts. ≤ 40 = RANGE (orange background) → Market is choppy/sideways, consider range strategies like butterflies, condors, mean-reversion fades. 40–60 = MIXED (gray background) → Indecision / chop. Best to reduce size or wait for clarity. 🔹 Step 3: Use with Your Trading Plan Intraday (5m, 15m, 30m) Score < 40 → play support/resistance bounces, fade extremes. Score > 60 → play momentum breakouts or pullback continuations. Daily chart Good for swing context (is this month trending or just chopping?). 🔹 Step 4: Alerts You can set TradingView alerts: Cross above 60 → market entering trend mode. Cross below 40 → market entering range mode. Useful if you don’t want to watch constantly. 🔹 Step 5: Confirm with Price Levels The score tells you “trend vs range”, but you still need levels: If score < 40 → mark PDH / PDL (previous day high/low), VAH/VAL, VWAP. Expect rejections/fades. If score > 60 → watch for breakouts beyond PDH/PDL or supply/demand zones.
Pine Script® Indikator
von somberTruffle15943