Inizia

Oscillatori

Dynamic Median Momentum Oscillator [AlgoAlpha]🟠 OVERVIEW This script provides a momentum oscillator that uses a median-based approach rather than traditional averages to find the center of price action. By calculating the distance between the current price and a rolling median (HLC3), it identifies how far the market has stretched from its historical equilibrium. The indicator is designed to filter out the noise typical of standard momentum tools, using a standardized range calculation to provide fixed overbought and oversold zones. It helps traders identify trend strength, potential exhaustion, and mean reversion opportunities across different market conditions. 🟠 CONCEPTS The core of this tool is the Dynamic Median basis, which uses a rolling median of the HLC3 price to establish a "fair value" line. Unlike a simple moving average, the median is less sensitive to extreme price spikes, making the resulting oscillator more robust against outliers. To ensure the oscillator remains readable across different assets, the raw difference between price and median is standardized by the average candle range (EMA of High-Low). This normalization allows for the use of fixed thresholds (e.g., +/- 200, 250, 300) regardless of the asset's price. The median sets the context for the baseline, while the smoothed MCD and its signal line provide the timing for entries and exits. 🟠 FEATURES Standardization feature to enable fixed overbought/oversold levels across any asset Multi-component display: Fast (histogram), Slow (lines), and Super Slow (filled zones) Reversion markers (triangles) indicating price returning from extreme levels 🟠 USAGE Setup : Add the script to your chart and choose your preferred Display Mode. Use "All" to see the full picture or "Slow" for a cleaner view of trend direction. Ensure "Standardize" is checked if you want to use the built-in overbought/oversold bands effectively. Read the chart : Look for the Smooth MCD (white line) crossing the Signal (orange line) for momentum shifts. Values above 0 indicate bullish momentum, while values below 0 indicate bearish momentum. Triangles appear at the top or bottom of the oscillator when price reaches extreme levels (300/-300) and begins to revert to the mean. Settings that matter : The Basis Length determines how much historical data defines the "center" of the market; longer lengths are better for higher timeframes. Smoothing Length controls the reactivity of the main white line—increase this if you find the oscillator is giving too many false signals in choppy markets.
Indicatore Pine Script®
di AlgoAlpha
8
Edo SuperTrend CoreEdo SuperTrend Core is a trend indicator based on the classic SuperTrend algorithm, designed to provide a clear visual representation of market direction directly on the chart. The indicator uses volatility measured through the Average True Range (ATR) to identify potential trend changes and represent the structure of price movement in a simple and readable way. Rather than adding unnecessary complexity, Edo SuperTrend Core focuses on delivering a clean visual interpretation of trend context. The indicator combines three main elements: · SuperTrend trend line · RSI based momentum gradient · Trend duration counter These elements allow traders to quickly interpret: · The predominant market direction · The strength of the movement · How long the current trend has been active How the indicator works The indicator is built around the classic SuperTrend algorithm, widely used in technical analysis to detect potential trend changes. The calculation uses the Average True Range (ATR) to measure market volatility. In the traditional SuperTrend implementation, two dynamic bands (upper and lower) are calculated from the ATR and determine trend changes when price crosses them. In Edo SuperTrend Core, these bands are not displayed directly on the chart. Instead, the indicator shows a single SuperTrend line representing the currently active level of the indicator. This level acts as both a trend reference and the flip level, meaning the point where the trend would change if price crosses it at candle close. Basic interpretation: · SuperTrend below price means bullish trend · SuperTrend above price means bearish trend This approach keeps the chart cleaner and improves visual readability of the trend structure. Momentum gradient The indicator includes a visual gradient based on the Relative Strength Index (RSI) to represent the strength of market momentum. The color intensity helps visually identify different market phases such as: Momentum expansion · Consolidation · Exhaustion This adds contextual information without requiring additional indicators on the chart. Trend duration counter Edo SuperTrend Core also includes a counter that shows the number of consecutive candles the market has remained within the same trend phase. This helps traders observe: How long a trend has been active · Whether the movement is still developing or already extended The counter is purely informational and complements trend analysis. Indicator settings The indicator includes a simple configuration designed to maintain a clear chart structure. The main available options are: Sensitivity profiles Users can choose between three profiles that adjust the behavior of the SuperTrend: · Fast meaning higher sensitivity to price movement · Balanced meaning default configuration for general use · Slow meaning smoother and more stable trend detection Each profile modifies the internal ATR parameters used by the algorithm. Gradient opacity The opacity of the RSI based gradient can also be adjusted to adapt the visual intensity of the colors to the users preferences. Timeframe adaptation All indicator calculations automatically adapt to the selected chart timeframe. Trend duration, candle counts and contextual interpretation scale accordingly whether the chart is set to minutes, hours, days or higher timeframes. Open source Edo SuperTrend Core is released as an open source indicator. The script can be studied, modified or extended directly within TradingView if users wish to adapt it to their own workflow. The default configuration is already optimized for immediate use. Important This indicator is a technical analysis tool. It does not generate automatic buy or sell signals and should not be considered financial advice. It should always be used within a broader trading framework that includes proper risk management.
Indicatore Pine Script®
di EdoLab-Markets
2
Probable Range [Alpha Extract]A sophisticated statistical probability system that visualizes price position within confidence-based ranges using z-score methodology with dual visualization modes for range oscillation and position histogram analysis. Utilizing rolling mean and standard deviation calculations with configurable confidence levels (68%, 95%, 99%), this indicator delivers institutional-grade probability assessment with seven-tier gradient band visualization and expanding statistics framework. The system's dual-mode architecture provides both normalized oscillator view showing current position within probable range and histogram view revealing mean-deviation positioning for comprehensive statistical market analysis. 🔶 Advanced Probability Range Framework Implements classic statistical methodology calculating probable price ranges using rolling mean with standard deviation scaled by z-scores corresponding to selected confidence levels. The system computes 20-period simple moving average as central tendency, calculates standard deviation measuring price dispersion, applies z-score multipliers (1.0 for 68%, 1.96 for 95%, 2.33 for 99% confidence), and generates upper/lower bounds representing statistically probable price boundaries. // Probability Range Calculation Mean_Price = ta.sma(close, Window) Std_Dev = ta.stdev(close, Window) // Z-Score Selection by Confidence Level Z_Score = confidence == 0.68 ? 1.0 : confidence == 0.95 ? 1.96 : confidence == 0.99 ? 2.33 : 1.0 // Probable Boundaries Upper_Bound = Mean_Price + Z_Score * Std_Dev Lower_Bound = Mean_Price - Z_Score * Std_Dev 🔶 Seven-Tier Gradient Visualization System Features sophisticated multi-layer band rendering dividing probable range into seven segments with progressive color gradients from cyan (lower extreme) through red (upper extreme). The system calculates intermediate levels at 14%, 28%, 42%, 58%, 72%, and 86% divisions of range, applies color gradient interpolation, and creates filled regions with transparency modulation emphasizing extreme zones while de-emphasizing central neutral zone. 🔶 Normalized Oscillator Mode Provides position-within-range visualization transforming absolute price into 0-1 normalized oscillator showing current location relative to probable boundaries. The system calculates (Price - Lower_Bound) / (Upper_Bound - Lower_Bound), applies 7-period smoothing for trend clarity, and implements expanding statistics framework with configurable standard deviation multipliers creating adaptive overbought/oversold bands that evolve with oscillator behavior. 🔶 Expanding Statistics Engine Implements cumulative statistical calculations tracking all-time mean and standard deviation of normalized oscillator for adaptive threshold determination. The system maintains running sum and sum-of-squares, calculates expanding mean and variance without lookback limits, generates upper and lower bands using configurable STD multipliers (default 1.5x), and creates self-adjusting extreme zones that tighten or widen based on oscillator's historical distribution. // Expanding Statistics Framework var float Cumulative_Sum = 0 var float Cumulative_Square_Sum = 0 var int Count = 0 Expanding_Mean = Cumulative_Sum / Count Expanding_Variance = (Cumulative_Square_Sum / Count) - (Expanding_Mean²) Expanding_STD = sqrt(Expanding_Variance) Upper_Band = Expanding_Mean + (Expanding_STD * Upper_Multiplier) Lower_Band = Expanding_Mean - (Expanding_STD * Lower_Multiplier) 🔶 Position Histogram Mode Features alternative visualization displaying smoothed oscillator deviation from expanding mean as histogram, revealing whether current normalized position trades above or below statistical average. The system applies configurable period smoothing (7 to 60 bars based on timeframe selection), subtracts expanding mean from smoothed oscillator, and plots area-style histogram with positive (green) and negative (red) coloring for instant regime assessment. 🔶 Multi-Timeframe Period Configuration Provides six preset period options optimizing position histogram smoothing for different trading timeframes from scalping to position trading. The system offers Low Timeframe Fastest (7-period), Low Timeframe Fast (14-period), Medium Timeframe Fast (21-period), Medium Timeframe Slow (30-period, default), High Timeframe Medium (40-period), and High Timeframe Long (60-period) enabling alignment with trader's operational timeframe and strategy horizon. 🔶 Confidence Level Selection Framework Implements three standard statistical confidence intervals representing different probability thresholds for range boundaries. 68% confidence (±1σ) captures approximately two-thirds of price action for tight ranges, 95% confidence (±1.96σ, default) encompasses 95% of observations for balanced analysis, and 99% confidence (±2.33σ) creates wide ranges capturing nearly all price movement for conservative extreme detection. 🔶 Dynamic Glow Effect Rendering Creates visual depth through multi-layer plotting with wider transparent outer layers emphasizing boundary significance. The system plots base upper/lower bounds at full opacity with 2-pixel width, adds glow layers at 8-pixel width with 82% transparency, and applies gradient coloring matching seven-tier scheme creating luminous effect that makes boundaries instantly recognizable without cluttering chart space. 🔶 Gradient Color Interpolation System Utilizes sophisticated color blending between cyan (cool, lower extreme) and red (hot, upper extreme) based on normalized position within range. The system applies color.from_gradient function with level parameter (0.0 to 1.0), creates smooth transitions through intermediate hues (greens, yellows, oranges), and maintains consistent coloring across both overlay bands and oscillator pane bands for visual coherence. 🔶 Dual-Pane Visualization Architecture Provides flexible display toggling between overlay mode (probable range bands on price chart) and indicator pane modes (oscillator or position histogram). The system renders overlay bands with force_overlay option, conditionally displays oscillator or histogram in separate pane based on selection, and maintains synchronized coloring and gradient scheme across both visualization contexts for unified analytical framework. 🔶 Performance Optimization Framework Employs efficient rolling calculations with single-pass statistics, optimized gradient computations, and conditional plotting minimizing unnecessary rendering. The system includes streamlined expanding statistics using incremental sum updates, smart display toggling preventing concurrent oscillator/histogram rendering, and minimal recalculation overhead through nz() functions and var declarations for state persistence. 🔶 Why Choose Probable Range ? This indicator delivers sophisticated statistical probability analysis through z-score-based range calculation with comprehensive visualization options. Unlike simple Bollinger Bands using fixed 2σ multipliers, the Probable Range offers configurable confidence levels with proper statistical grounding and dual visualization modes providing both absolute range context (overlay) and normalized position analysis (oscillator/histogram). The expanding statistics framework for oscillator bands creates adaptive extremes that evolve with market behavior rather than relying on fixed thresholds. Perfect for mean reversion traders seeking statistically-grounded overbought/oversold identification, probability-based position sizing (trade larger near extremes with high confidence levels), and comprehensive visual feedback through seven-tier gradient systems across cryptocurrency, forex, and equity markets where understanding probability distributions enables superior risk-adjusted trade location.
Indicatore Pine Script®
di AlphaExtract
Q-Trend w/ SL+Trailing Stop Q Trend Strategy Simple Q Trend Strategy mixed with a fixed SL and Trailing drawdown. Also using VIDYA Volumatic Indicator and Two Pole Oscillator for entry confirmation. Using The Indicator: -Some arrows and exit positions will pop up on the chart. You ONLY need to focus on the BLUE and RED arrows. -BLUE arrow is for LONG and RED arrow is for SHORT. Simple! - You can use it on most time frames but 15M,30M,1H timeframes work best. Try and get your entry as close as you can to the arrows and exit on the reversal. - If the delta volume is BELOW 20% you should just stay out of the market. Above 20% the trade has higher probability of being profitable. Feedback is appreciated. Enjoy Pinescript Code: //@version=5 strategy("Q-Trend Strategy with SL and Trailing Stop + Date Range", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100) // ───────────────────────────────────────────────────────────────────────────── // Date Range Filter useDateFilter = input.bool(true, "Use Date Range Filter", group="Date Range") startTime = input.time(timestamp("2024-01-01T00:00:00"), "Start Date", group="Date Range") endTime = input.time(timestamp("2026-12-31T23:59:59"), "End Date", group="Date Range") closeAfterEnd = input.bool(true, "Close positions after End Date?", group="Date Range", tooltip="If enabled, any open position will be closed on/after the End Date.") // Allow entries only inside the date window inDateRange = not useDateFilter or (time >= startTime and time <= endTime) // Inputs src = input(close, "Source", group = "Main settings") p = input.int(200, "Trend period", group = "Main settings", minval = 1) atr_p = input.int(14, "ATR Period", group = "Main settings", minval = 1) mult = input.float(1.0, "ATR Multiplier", step = 0.1, group = "Main settings") mode = input.string("Type A", "Signal mode", options = , group = "Mode") use_ema_smoother = input.string("No", "Smooth source with EMA?", options = , group = "Source") src_ema_period = input.int(3, "EMA Smoother period", group = "Source") // Risk Management Inputs atr_mult_stop = input.float(2.0, "Stop Loss (ATR)", group="Risk Management") atr_mult_trail = input.float(1.0, "Trailing Stop (ATR)", group="Risk Management") // Source calculation src := use_ema_smoother == "Yes" ? ta.ema(src, src_ema_period) : src // Trend line and ATR h = ta.highest(src, p) l = ta.lowest(src, p) d = h - l m = (h + l) / 2 m := bar_index > p ? m : m atr = ta.atr(atr_p) epsilon = mult * atr change_up = (mode == "Type B" ? ta.cross(src, m + epsilon) : ta.crossover(src, m + epsilon)) or src > m + epsilon change_down = (mode == "Type B" ? ta.cross(src, m - epsilon) : ta.crossunder(src, m - epsilon)) or src < m - epsilon sb = open < l + d / 8 and open >= l ss = open > h - d / 8 and open <= h strong_buy = sb or sb or sb or sb or sb strong_sell = ss or ss or ss or ss or ss m := (change_up or change_down) and m != m ? m : change_up ? m + epsilon : change_down ? m - epsilon : nz(m , m) var string ls = "" ls := change_up ? "B" : change_down ? "S" : ls // === STRATEGY LOGIC === // Entries restricted by date range longCondition = change_up and ls != "B" and inDateRange shortCondition = change_down and ls != "S" and inDateRange if (longCondition) strategy.entry("Long", strategy.long) strategy.close("Short") strategy.exit("Exit Long", from_entry="Long", stop=atr * atr_mult_stop, trail_points=atr * atr_mult_trail, trail_offset=atr * atr_mult_trail) if (shortCondition) strategy.entry("Short", strategy.short) strategy.close("Long") strategy.exit("Exit Short", from_entry="Short", stop=atr * atr_mult_stop, trail_points=atr * atr_mult_trail, trail_offset=atr * atr_mult_trail) // Optionally flatten after end date if useDateFilter and closeAfterEnd and time >= endTime and strategy.position_size != 0 strategy.close_all(comment="End Date Close") plot(m, title="Trend Line", color=ls == "B" ? color.green : color.red, linewidth=2)
Strategia Pine Script®
di danieltrinidad497
1
Money Flow Curvature PredictorIntroduction Most traders view oscillators like the Money Flow Index (MFI) as lagging tools—waiting for a zero-line crossover or an overbought/oversold signal before taking action. However, by the time a crossover occurs on a high-timeframe asset like Bitcoin, the "meat" of the move is often already over. The Money Flow Curvature Predictor is designed to solve this lag. It is a sophisticated momentum tool that analyzes the internal acceleration of money flow to identify "Rounding Bottoms" and "Rounding Tops" before they result in a price breakout. The Philosophy: Momentum follows Curvature Price follows momentum, but momentum follows its own curvature. Think of a car coming to a stop: before the car actually stops (the zero-cross), the driver must first let off the gas and apply the brakes (the curvature shift). By measuring the 2nd Derivative (Acceleration) of the Money Flow, we can detect when the "braking" process has begun, allowing us to anticipate a trend reversal bars before the rest of the market sees it. How It Works The script uses a three-layered approach to analyze market energy: The Money Flow Cloud: A high-precision replication of centered money flow (MFI 60), normalized to show the balance of volume-weighted buying and selling pressure. Curvature Engine (The Secret Sauce): Slope (1st Derivative): Measures the current speed of the money flow. Acceleration (2nd Derivative): Measures the rate of change in that speed. When Money Flow is deep in the red but acceleration turns positive, the "curve" is rounding out—a fractal signal of an impending bullish shift. The Confidence Filter: To eliminate the "noise" often found in momentum oscillators, we implemented: Extreme Zone Threshold: Only signals when Money Flow is at exhaustive levels (deep red or high green). Persistence Filter: Requires the curvature to stay consistent for a user-defined duration (Min Rounding Duration) before a High-Confidence dot is plotted. Visual Guide The Cloud: Green indicates net inflow; Red indicates net outflow. Small Circles: Initial detection of a rounding pattern. These are "early warnings." Large Solid Circles: High-Confidence signals. These occur when the rounding is sustained and happening at extreme exhaustive levels. Momentum Columns: The "leading edge" of the wave. When these columns flip color while the cloud is still at an extreme, a reversal is imminent. How to Trade with it Early Entry (The Aggressive Approach): Look for the first "Early Warning" dots when the Money Flow is at an extreme low/high. This is often where "Smart Money" begins to accumulate or distribute. Confirmed Entry (The Conservative Approach): Wait for the Large High-Confidence dots to appear. This confirms that the momentum shift isn't just a flicker, but a sustained structural change in the flow of money. Divergence Hunting: Use the Momentum Columns to find cases where the Cloud is making a lower low, but the Columns (Slope) are already making higher highs. This is a powerful precursor to "V-Bottom" recoveries. Best For: Assets: Bitcoin, Ethereum, and High-Volatility Equities. Timeframes: Optimized for the 1H, 4H, and Daily charts to capture macro swing shifts. Technical Details Version: Pine Script v6 Calculation Base: Center-Normalized MFI (Money Flow Index) Smoothing: EMA-based signal processing to reduce derivative noise. Final Thoughts: Thank you to lux algo's quant tool. This powerful tool allowed me to create a complex idea i would have never been capable of creating on my own. Within a short period of time my idea turned into a reality fast. Let me know your thoughts and good luck.
Indicatore Pine Script®
di Uniden202
Regime Classifier [JOAT]Regime Classifier Introduction The Regime Classifier is a sophisticated market state detection system designed to identify and classify market conditions into distinct operational regimes. Understanding the current market regime is perhaps the most critical factor in successful trading - a strategy that works beautifully in a trending market will fail miserably in a ranging market, and vice versa. This indicator solves that fundamental problem by providing clear, actionable classification of market states, allowing traders to adapt their approach to current conditions. This tool is built for traders who understand that markets are not random but move through distinct phases, each requiring different strategies and risk management approaches. Whether you're a systematic trader needing regime filters, a discretionary trader seeking market context, or a portfolio manager adjusting exposure, this classifier provides the institutional-grade market intelligence needed to navigate any market environment successfully. Why This Indicator Exists Most traders apply the same strategy regardless of market conditions, then wonder why their performance is inconsistent. This indicator addresses that critical flaw by: Regime Classification: Identifies four distinct market states with clear characteristics Regime Strength: Measures how strongly the market exhibits regime characteristics Regime Persistence: Tracks how long the current regime has been in place Regime Quality: Evaluates the reliability of the current regime classification Session Awareness: Considers session context for regime analysis Regime Transitions: Detects and signals regime changes for strategy adaptation The classifier transforms the complex, often subjective process of market analysis into an objective, systematic framework that can be consistently applied across all instruments and timeframes. Core Components Explained 1. ADX-Based Trend Detection The Average Directional Index (ADX) is the primary tool for trend detection: // ADX calculation float atr_val = ta.rma(ta.tr(true), i_adx_period) float up_move = high - high float down_move = low - low float plus_dm = up_move > down_move and up_move > 0 ? up_move : 0 float minus_dm = down_move > up_move and down_move > 0 ? down_move : 0 float plus_di = 100 * ta.rma(plus_dm, i_adx_period) / atr_val float minus_di = 100 * ta.rma(minus_dm, i_adx_period) / atr_val float adx = 100 * ta.rma(math.abs(plus_di - minus_di) / (plus_di + minus_di), i_adx_period) ADX components: ADX Value: Trend strength (0-100), regardless of direction +DI: Bullish directional movement -DI: Bearish directional movement Trend Threshold: Minimum ADX for trend classification (default 25) Directional Bias: +DI vs -DI for trend direction ADX above 25 indicates a trending market, while below 25 suggests ranging or volatile conditions. 2. ATR-Based Volatility Analysis The Average True Range (ATR) measures volatility and helps distinguish between different non-trending states: // ATR analysis float atr_current = ta.atr(i_atr_period) float atr_average = ta.sma(atr_current, i_atr_period * 3) float atr_ratio = atr_average > 0 ? atr_current / atr_average : 1.0 // Volatility thresholds float expansion_threshold = i_atr_expansion_mult float contraction_threshold = i_atr_contraction_mult ATR components: Current ATR: Recent volatility measurement Average ATR: Long-term volatility baseline ATR Ratio: Current volatility relative to average Expansion Threshold: Ratio indicating high volatility (default 1.4) Contraction Threshold: Ratio indicating low volatility (default 0.6) ATR analysis helps distinguish between ranging (low volatility) and volatile (high volatility) markets when ADX is below the trend threshold. 3. Regime Classification Logic The indicator classifies markets into four distinct regimes: // Regime classification int market_regime = 0 if adx >= i_adx_trend market_regime := 1 // Trending else if atr_ratio >= expansion_threshold and adx < i_adx_trend market_regime := 3 // Volatile else if atr_ratio <= contraction_threshold and adx < i_adx_trend market_regime := 2 // Ranging else market_regime := 0 // Neutral Regime types: Trending (ADX ≥ 25): Strong directional movement with clear trend Ranging (ADX < 25, ATR ratio ≤ 0.6): Low volatility, sideways movement Volatile (ADX < 25, ATR ratio ≥ 1.4): High volatility, erratic movement Neutral (ADX < 25, 0.6 < ATR ratio < 1.4): Transition between defined states Each regime has distinct characteristics that require different trading approaches. 4. Regime Strength Measurement Not all regimes are created equal - some are stronger and more reliable than others: // Regime strength calculation float regime_strength = 0.0 switch market_regime 1 => regime_strength := math.min(adx / 50.0 * 100, 100) // Trending strength 2 => regime_strength := math.min((1 - atr_ratio) / (1 - contraction_threshold) * 100, 100) // Ranging strength 3 => regime_strength := math.min((atr_ratio - 1) / (expansion_threshold - 1) * 100, 100) // Volatile strength 0 => regime_strength := 50.0 // Neutral default Strength interpretation: Trending Strength: Based on ADX value (higher ADX = stronger trend) Ranging Strength: Based on how low volatility is (lower ATR = stronger range) Volatile Strength: Based on how high volatility is (higher ATR = stronger volatility) Neutral Strength: Fixed at 50% as baseline Strength Range: 0-100% indicating regime confidence Higher strength values indicate more reliable regime classification. 5. Regime Persistence Analysis The duration of a regime provides additional context about its reliability: // Regime persistence tracking var int regime_bars = 0 var int regime_start_bar = 0 if market_regime == market_regime regime_bars := regime_bars + 1 else regime_bars := 1 regime_start_bar := bar_index // Persistence score float persistence_score = math.min(float(regime_bars) / i_persistence_lookback * 100, 100) Persistence features: Regime Bars: Number of consecutive bars in current regime Regime Start: When the current regime began Persistence Score: Normalized duration (0-100%) Lookback Period: Reference period for normalization (default 50) Mature Regimes: Higher persistence indicates established conditions Long-lasting regimes are more reliable than newly formed ones. 6. Regime Quality Assessment Quality evaluates how well the current market fits the regime characteristics: // Quality assessment float quality_score = 0.0 float adx_quality = adx / 50.0 * 50 // 50% weight float atr_quality = market_regime == 2 ? (1 - atr_ratio) / (1 - contraction_threshold) * 50 : market_regime == 3 ? (atr_ratio - 1) / (expansion_threshold - 1) * 50 : 25 quality_score := adx_quality + atr_quality Quality components: ADX Quality: How well trend strength matches regime expectations ATR Quality: How well volatility matches regime expectations Quality Score: Combined assessment (0-100%) High Quality: Clear regime characteristics Low Quality: Ambiguous or transitioning conditions High quality scores indicate clear, unambiguous market conditions. 7. Session Context Integration Market behavior varies significantly across trading sessions: // Session analysis bool asian_session = time(timeframe.period, "0000-0800") bool london_session = time(timeframe.period, "0700-1600") bool ny_session = time(timeframe.period, "1200-2100") // Session-specific adjustments float session_multiplier = 1.0 if london_session session_multiplier := 1.2 // Higher volatility expected else if asian_session session_multiplier := 0.8 // Lower volatility expected Session features: Session Detection: Identifies major trading sessions Session Multipliers: Adjusts expectations based on session characteristics Session Persistence: Tracks regime duration within current session Session Quality: Evaluates regime quality within session context Session Transitions: Identifies regime changes at session opens/closes Session context helps interpret regime changes and anticipate behavior. Visual Elements Regime Histogram: Color-coded bars showing current regime Strength Meter: Visual representation of regime strength Persistence Line: Shows regime duration over time Quality Gauge: Quality score visualization Background Colors: Regime-based background shading Session Markers: Visual session boundaries Dashboard: Real-time regime metrics Transition Alerts: Visual regime change notifications The dashboard displays: 1. Current market regime and confidence 2. Regime strength and persistence 3. Quality score and trend direction 4. Session context and behavior 5. Regime history and transitions 6. Recommended strategies for current regime 7. Risk management adjustments 8. Regime forecast based on patterns Input Parameters ADX Settings: ADX Period: Trend strength calculation (default: 14) Trend Threshold: Minimum ADX for trend regime (default: 25) ADX Smoothing: Additional smoothing for ADX (default: 3) ATR Settings: ATR Period: Volatility calculation (default: 14) Expansion Multiplier: High volatility threshold (default: 1.4) Contraction Multiplier: Low volatility threshold (default: 0.6) Analysis Settings: Persistence Lookback: Reference for persistence score (default: 50) Quality Smoothing: Smoothing for quality calculation (default: 5) Session Awareness: Enable session analysis (default: true) Visual Settings: Color Scheme: Customizable regime colors Background Shading: Enable regime backgrounds Dashboard Display: Show metrics panel Alert Settings: Configure regime change alerts How to Use This Indicator Step 1: Identify Current Regime Check the dashboard for the current market regime. Each regime requires a different approach: Trending: Use trend-following strategies, let winners run Ranging: Use mean-reversion strategies, take profits at levels Volatile: Reduce position size, use wider stops, or avoid trading Neutral: Wait for clarity, reduce trading activity Step 2: Assess Regime Strength Higher strength indicates more reliable conditions. In strong regimes (80%+), you can be more aggressive with position sizing. In weak regimes (<50%), reduce exposure and wait for confirmation. Step 3: Monitor Persistence Newly formed regimes (<10 bars) may be false signals. Mature regimes (>20 bars) are more established and reliable. Consider regime persistence in your strategy selection. Step 4: Evaluate Quality High quality scores (>75%) indicate clear market conditions. Low quality scores (<50%) suggest ambiguity - reduce trading or wait for clarity. Step 5: Consider Session Context Regimes that persist across multiple sessions are more significant. Regime changes at session opens often set the tone for the session. Step 6: Watch for Transitions Regime transitions signal strategy changes. A shift from trending to ranging requires switching from trend-following to range-bound strategies. Best Practices Always adapt your strategy to the current regime - don't use a trending strategy in ranging markets High strength + high quality = maximum confidence in regime classification Low persistence regimes (<10 bars) may be false - wait for confirmation Session transitions often trigger regime changes - be alert at session opens Volatile regimes are dangerous for most traders - consider reducing activity Regime persistence is key - the longer a regime persists, the more reliable it is Quality scores below 50% suggest waiting for clarity Combine regime analysis with your existing strategy for better results Keep a regime journal to track how each instrument behaves in different regimes Use regime transitions as signals to adjust your entire trading approach Strategy Applications by Regime Trending Regime: Trend-following strategies (moving averages, ADX, momentum) Let winners run to maximum targets Use trailing stops to capture extended moves Add to positions on pullbacks in trend direction Higher position sizing due to clear direction Ranging Regime: Mean-reversion strategies (RSI, Stochastic, Bollinger Bands) Take profits at support/resistance levels Use fixed targets - don't let winners turn into losers Fade extreme moves toward the range middle Smaller position sizing due to limited moves Volatile Regime: Reduce position size significantly (50% or less) Use wider stops to avoid premature exits Consider sitting out until conditions improve Focus on volatility breakout patterns if trading Quick profit taking - volatile conditions reverse quickly Neutral Regime: Wait for clarity before taking new positions Manage existing positions more actively Reduce trading frequency Look for regime transition signals Focus on longer timeframe analysis for direction Technical Implementation Built with Pine Script v6 featuring: Advanced ADX calculation with directional movement analysis Multi-timeframe ATR analysis for volatility assessment Regime classification with confirmation logic Strength, persistence, and quality scoring systems Session awareness with timezone handling Comprehensive visualization with multiple display modes Real-time dashboard with 10 key metrics Alert conditions for regime changes and thresholds Export functions for strategy integration Historical regime tracking and pattern recognition The code uses confirmed bars for all calculations to prevent repainting and ensure reliable regime classification. Originality Statement This indicator is original in its comprehensive approach to regime classification and market state analysis. While ADX and ATR are established tools, this indicator is justified because: It synthesizes trend and volatility analysis into a unified regime classification system The strength, persistence, and quality scoring provides multi-dimensional regime assessment Session awareness adds critical context often missing from regime analysis Regime transition detection helps traders adapt strategy changes proactively The four-regime classification (Trending, Ranging, Volatile, Neutral) covers all market states Quality assessment helps distinguish between clear and ambiguous market conditions Persistence analysis identifies mature, reliable regimes versus new, potentially false ones Comprehensive visualization makes complex regime analysis accessible and actionable Export functions enable regime-based strategy filtering and adaptation Each component provides unique insights: ADX shows trend, ATR shows volatility, strength shows conviction, persistence shows duration, and quality shows clarity The indicator's value lies in transforming the abstract concept of "market conditions" into concrete, actionable classifications that traders can use to adapt their strategies systematically and consistently. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Regime classification is a tool for understanding market conditions, not a prediction system. Market regimes can change suddenly due to news events, economic data, or changes in market structure. Past regime behavior does not guarantee future patterns. The indicator's classifications are mathematical calculations based on historical patterns and should be used in conjunction with other forms of analysis. Always use proper risk management, including stop losses and position sizing appropriate for current market conditions. Different regimes require different risk approaches - volatile regimes may require smaller positions and wider stops. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Indicatore Pine Script®
di officialjackofalltrades
Oscillateur Pro - GoldPlusInfinity1. Reading the visual components The RSI 7 (Thick Line): This is your speed radar. If it is Green, the market is oversold (buying opportunity). If it is Red, it is overbought (selling opportunity). If it is White, the market is in a transition zone. The TSI (Colored background area): This is the strength of the trend. A green area above 50 indicates dominant buying pressure. A red area below 50 indicates selling pressure. The Circles in the Center (50 line): These are your Convergence signals. They appear when the RSI leaves an extreme zone and the TSI confirms that the movement has strength. 2. Trading Strategy (Convergence Pro) The most robust method with this tool is to look for agreement between the two calculations: Buy Signal: 1. Wait for the background to turn slightly green (RSI < 30). 2. Wait for the appearance of the small green circle on the 50 central line. 3. Enter a buy trade when the candle closes. Sell Signal:1. Wait for the background to turn slightly red (RSI > 70). 2. Wait for the small red circle to appear on the 50 central line. 3. Enter a sell. 3. Using Multi-Timeframe (MTF) In the indicator settings on the Canvas: Check "Enable Multi-Timeframe". Choose a higher unit (e.g., if you are trading in 5min, choose 1H). Pro tip: Only take buys in 5min if the RSI of the 1H unit is also trending upwards or above 50. This is called "trading with the flow".
Indicatore Pine Script®
di GoldPlusInfinity
QTP - Stoch MTFQTP - Stoch MTF ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stoch MTF is a professional multi-timeframe Stochastic oscillator that delivers clean, filtered crossover signals directly onto your price chart. It runs a fully configurable %K/%D Stochastic in a lower panel with the ability to pull data from any higher timeframe — and projects buy/sell arrows on the main chart so your price action stays uncluttered. An optional second Stochastic on an independent timeframe can be overlaid for dual-timeframe confluence analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Signal Modes ◆ Strict Cross Mode — %K must be past the overbought or oversold level AND cross %D to trigger. This filters out weak mid-range crossovers and only fires at genuine exhaustion points where momentum is reversing from an extreme. Produces fewer, higher-quality signals. ◆ Any Cross Mode — Fires on every %K/%D crossover regardless of whether the stochastic is at an extreme level. Faster entries, useful in strong trending conditions where price doesn't always reach the OB/OS zones before reversing. Both modes can be enabled simultaneously with independent toggle controls for arrows and background highlights. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ Multi-Timeframe Stochastic — Use the current chart resolution or select any custom timeframe. A 5-minute chart can display a 1-hour or daily stochastic for higher-timeframe context without switching charts. ◆ Optional 2nd Stochastic Overlay — Independent length, smoothing, and timeframe settings. Overlay a daily stochastic alongside a 1-hour stochastic to spot confluence zones where both timeframes agree. ◆ Main Chart Signal Arrows — Green triangle below bar for bullish crossovers, red triangle above bar for bearish crossovers. Plotted directly on the price chart using force overlay — no separate indicator needed for signal visibility. ◆ Background Highlights — Color-coded background flashes on cross events for instant visual scanning across the oscillator panel. Toggle independently for strict and any-cross modes. ◆ OB/OS Zone Fill — Shaded region between the upper and lower threshold lines with configurable levels and optional midline. Quickly identify when the stochastic is in the danger zone. ◆ Fully Configurable — Adjust Length, Smooth K, Smooth D, upper line, lower line, and midline independently for both the main and 2nd stochastic. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — the oscillator appears in a lower panel, buy/sell arrows appear automatically on the price chart. For swing trading, use the default settings (14, 3, 3) on a higher timeframe like 1H or 4H. Strict cross mode will filter signals to only fire at OB/OS extremes. For scalping, shorten the length (7-9) and use Any Cross mode for faster signal generation on 1m-5m charts. Enable the 2nd Stochastic for confluence — for example, set the main stochastic to your chart timeframe and the 2nd to the Daily. When both align in the same direction, signal conviction is highest. Use background highlights for quick scanning across multiple assets — a green or red flash instantly draws your eye to a fresh crossover event. The strict cross filter is recommended for most traders. It requires %K to be past the OB/OS threshold before the crossover counts, eliminating the choppy mid-range signals that cause false entries in sideways markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ Main Stochastic — Length, Smooth K, Smooth D ◆ Levels — Upper line (default 80), Lower line (default 20), Mid line toggle ◆ Main Timeframe — Current chart or custom timeframe ◆ 2nd Stochastic — Independent length, smoothing, and timeframe ◆ Display — Toggle background highlights and signal arrows independently for strict and any-cross modes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Indicatore Pine Script®
di QTP-CB
SPY Bear Regime Short SystemSPY Bear Regime Short System A rules-based short-selling strategy designed to profit during bear market regimes. Backtested on SPY daily data from 1994 to 2025 using Wealth-Lab 8. The system identifies weak counter-trend bounces within established downtrends and shorts them with mechanical entry and exit rules. No discretion, no optimization — just objective conditions applied consistently over 30 years. ENTRY CONDITIONS (all four must be true): 1. Close is below the 250-period simple moving average (bear regime confirmed) 2. Close is above the 5-period simple moving average (short-term bounce in progress) 3. 3-period RSI crosses above 70 (bounce is becoming overbought) 4. Close is at least 2% below the 250-period MA (keeps you away from the MA where direction is ambiguous) EXIT CONDITIONS (first one triggered): 1. Close drops back below the 5-period MA (bounce has failed — trade worked) 2. Close rises above the 250-period MA (bear regime may be ending — get out) All entries and exits are executed at the next bar open. BACKTEST RESULTS (SPY daily, 1994–2025): Win rate: 70.16% Average winner: +1.77% — average hold 3.1 bars Average loser: -2.12% — average hold 5.0 bars BEAR MARKET PERFORMANCE vs SPY: 2000: System +8.31% | SPY -10.53% 2001: System +21.10% | SPY -12.86% 2002: System +1.55% | SPY -22.78% 2008: System +35.29% | SPY -36.71% 2022: System +20.29% | SPY -18.11% HOW TO USE: Apply to SPY on the daily timeframe. The 250 MA (yellow) and 5 MA (white) plot on the price chart. The companion RSI indicator plots in a separate pane below. Short entry signals appear as red triangles above the bar. Exit signals appear as green triangles below the bar. Because SPY correlation with large-cap stocks runs high during bear markets, signals can also serve as a regime filter for shorting individual names or sector ETFs. INPUTS (adjustable in settings): - Long MA length (default 250) - Short MA length (default 5) - RSI length (default 3) - RSI overbought threshold (default 70) - Minimum % gap below long MA (default 2%) Find more systems at: TradingTimeMachine.com/systems DISCLAIMER: Past performance is not indicative of future results. This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
Strategia Pine Script®
di thetrading
Momentum Pulse█ MOMENTUM PULSE v1.0 Next-Generation Adaptive Momentum Analysis Blends three orthogonal momentum sources into a single Adaptive Momentum Composite (AMC), enhanced with multi-timeframe confluence scoring and automatic divergence detection. A comprehensive, real-time read on momentum across multiple dimensions — all in one clean, non-overlay panel. Free and Open Source. ═══════════════════════════════════ █ THE CONCEPT: COMPOSITE MOMENTUM Traditional momentum indicators measure one thing: RSI tracks mean-reversion, MACD tracks trend acceleration, ROC tracks raw velocity. Each has blind spots. A composite approach eliminates these blind spots by combining all three perspectives into a single normalized reading. The Adaptive Momentum Composite (AMC) uses Z-score normalization to ensure each component contributes equally regardless of asset type or volatility level — it auto-calibrates to any market. ═══════════════════════════════════ █ CORE ENGINE: ADAPTIVE MOMENTUM COMPOSITE (AMC) The signature engine combines three Z-score normalized momentum sources: 1. Rate of Change (ROC) Raw price velocity over N bars. Catches sharp moves early. 2. RSI Deviation Distance of RSI from the 50-line. Captures overbought/oversold pressure. 3. MACD Histogram Trend acceleration. Captures the speed of the trend change. Each component's weight is configurable. The composite is clamped to to prevent extreme outlier distortion. ═══════════════════════════════════ █ TREND STRENGTH METER Real-time regime classification using adaptive thresholds: STRONG BULL — AMC above 1.8x its own standard deviation BULL — AMC above 0.8x standard deviation NEUTRAL — AMC near zero BEAR — Mirror of bullish thresholds STRONG BEAR — Mirror of bullish thresholds Thresholds auto-calibrate to each asset and timeframe. A visual strength gauge (0–100%) shows momentum intensity at a glance. ═══════════════════════════════════ █ MULTI-TIMEFRAME CONFLUENCE Polls AMC direction from up to 3 higher timeframes plus the current chart: Score 4/4 — All timeframes aligned = high-conviction setup Score 3/4 — Strong alignment with one dissenter = proceed with caution Score 2/4 or less — Mixed signals = chop zone, reduce position size Auto-selects appropriate higher timeframes based on your chart. Manual override available. Auto-Selected Timeframes: 1-3 min chart → 5 min / 15 min / 1 Hour 5 min chart → 15 min / 1 Hour / 4 Hour 15 min chart → 1 Hour / 4 Hour / Daily 1 Hour chart → 4 Hour / Daily / Weekly 4 Hour chart → Daily / Weekly / Monthly Daily chart → Weekly / Monthly / 3M ═══════════════════════════════════ █ DIVERGENCE DETECTION Automatic pivot-based detection of four divergence types: Regular Bullish — Price makes lower low, AMC makes higher low → reversal up Regular Bearish — Price makes higher high, AMC makes lower high → reversal down Hidden Bullish — Price makes higher low, AMC makes lower low → trend continuation up Hidden Bearish — Price makes lower high, AMC makes higher high → trend continuation down Each divergence is labeled directly on the chart with color-coded markers. Configurable pivot lookback and maximum bar distance between pivots. ═══════════════════════════════════ █ MOMENTUM WAVE VISUALIZATION Dynamic gradient histogram: Rising Bullish — Bright cyan Fading Bullish — Teal Rising Bearish — Bright red-pink Fading Bearish — Magenta Signal Line — Smoothed AMC (EMA) for crossover timing Zero-Line Crosses — Circle labels ("0+" / "0-") Signal Crosses — Diamond markers for entry/exit timing Background zones subtly shade the panel based on the current momentum regime. ═══════════════════════════════════ █ DASHBOARD Compact dark-themed info panel displaying: AMC — Current composite value with trend arrow Regime — STRONG BULL / BULL / NEUTRAL / BEAR / STRONG BEAR with color coding Strength — Visual gauge bar (0–100%) showing momentum intensity Signal — Above / Below signal line status MTF Confluence — Arrow alignment for all 4 timeframes with score (0-4) Timeframes — Current + 3 higher TFs being monitored Components — Individual Z-scores for ROC, RSI, MACD RSI — Raw RSI value with Overbought/Oversold status ═══════════════════════════════════ █ ALERTS (10 CONDITIONS) Zero Crosses: Bullish / Bearish Signal Crosses: Bullish / Bearish Regular Divergence: Bullish / Bearish Hidden Divergence: Bullish / Bearish Full MTF Confluence: Bullish / Bearish ═══════════════════════════════════ █ PRO VERSION The PRO version adds: Enhanced AMC Engine — Additional momentum components and advanced weighting algorithms Extended Dashboard — More detailed analytics and component breakdown Advanced Divergence — Multi-level divergence scoring with strength classification Strategy Mode — Built-in backtestable strategy with entry/exit logic Additional Alert Conditions — Regime change, momentum acceleration, and more ═══════════════════════════════════ █ NON-REPAINTING The AMC is calculated from standard non-repainting indicators (ROC, RSI, MACD). Z-score normalization uses historical data only. MTF requests use lookahead_off to prevent future data leakage. Divergence detection requires confirmed pivots. No repainting. ═══════════════════════════════════ █ WORKS ON Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly. ═══════════════════════════════════ █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Indicatore Pine Script®
di alphachart_tv
QuantEdge Statistical Intelligence█ QUANTEDGE STATISTICAL INTELLIGENCE (QSI) Quantitative Market Quality Analysis A quantitative market analysis tool that measures the statistical "quality" of market conditions using three core modules: Hurst Regime Engine , Shannon Entropy Flow , and Price Efficiency Ratio . These combine into a single QSI Composite Score (0-100) that rates whether current conditions are favorable for trading or not. Free and Open Source. █ THE CONCEPT: WHY STATISTICAL MARKET QUALITY MATTERS Most indicators answer "which direction?" — QSI answers a different question: "Should I be trading right now?" Markets alternate between regimes: trending, mean-reverting, chaotic, and efficient. QSI identifies these regimes in real-time so you can adapt your strategy accordingly. A trending Hurst regime favors breakout strategies. A mean-reverting regime favors fading. High entropy means the market is chaotic — reduce size. High efficiency means clean directional moves — increase conviction. █ CORE MODULES 1. Hurst Regime Engine Calculates the Hurst Exponent via Rescaled Range (R/S) analysis — a robust statistical method from hydrology adapted for financial markets. H > 0.55 — Trending regime. Price has "memory" — breakout/trend-following strategies work well. H = 0.50 — Random Walk. No statistical edge — the market is coin-flipping. Reduce size. H < 0.45 — Mean-Reverting regime. Price has "anti-memory" — fade strategies work well. 2. Shannon Entropy Flow Measures the information entropy of the return distribution using the Shannon Entropy formula from information theory. High Entropy (>70) — Returns spread across many bins = chaotic, unpredictable. Reduce exposure. Low Entropy (<30) — Returns cluster in few bins = ordered, predictable. Good for systematic strategies. 3. Price Efficiency Ratio Measures directional efficiency by comparing net price movement to gross price movement over N bars. High Efficiency (>30%) — Price moving cleanly in one direction. Trend-following conditions. Low Efficiency (<10%) — Price chopping with no net progress. Avoid or use range strategies. █ QSI COMPOSITE SCORE The three modules combine into a single 0-100 score with fixed weights: Hurst Edge: 40% — How strong is the regime signal? Inverse Entropy: 35% — How ordered is the market? Efficiency: 25% — How clean are the price moves? Score interpretation: > 70 — PRIME — Optimal conditions, full conviction 55-70 — FAVORABLE — Good conditions, normal sizing 40-55 — NEUTRAL — Mixed signals, proceed with caution 25-40 — CAUTION — Poor conditions, reduce size < 25 — AVOID — Worst conditions, stay out █ DASHBOARD A compact, dark-themed info panel displaying: QSI INDEX — Current composite value with regime label HURST — Current Hurst exponent with regime classification ENTROPY — Current entropy score with regime classification EFFICIENCY — Current efficiency ratio with regime classification WEIGHTS — Module weight distribution (H:40 E:35 F:25) █ ALERTS (8 CONDITIONS) QSI: PRIME Conditions — Composite entered prime zone (>70) QSI: AVOID Conditions — Composite dropped to avoid zone (<25) QSI: Conditions Improving — Composite crossed above 55 QSI: Conditions Deteriorating — Composite dropped below 40 QSI: Hurst → Trending — Hurst crossed above 0.55 QSI: Hurst → Mean-Reversion — Hurst crossed below 0.45 QSI: Entropy → Chaos — Entropy spiked above 70 QSI: Entropy → Order — Entropy dropped below 30 █ PRO VERSION The PRO version adds: Markov Transition Probabilities — Statistical prediction of next-bar direction Correlation Intelligence — Auto-benchmark correlation with breakdown detection Fractal Dimension — Higuchi fractal complexity analysis Absorption Detection — High volume + low range = institutional activity Trading Style Presets — Auto/Scalping/Daytrading/Swing/Position Asset Auto-Optimization — Automatic parameter tuning per asset class Profile-Adaptive Weighting — Dynamic composite weights based on style + asset █ NON-REPAINTING All calculations use confirmed bar data only. The Hurst Exponent is calculated from historical log-returns. Shannon Entropy uses a rolling window of past data. Price Efficiency uses closed bars only. No future data leakage. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Indicatore Pine Script®
di alphachart_tv
Relative Strength Index Relative Strength Index (RSI) — Enhanced Edition The classic RSI indicator rebuilt with extra tools for cleaner analysis and better trade timing. Features: Standard RSI (default 14 length) with overbought/oversold gradient fills at 70/30 Smoothing MA overlay — choose from SMA, EMA, RMA, WMA, VWMA, or SMA + Bollinger Bands Cross candle colouring — price candles colour on RSI/MA crossovers so you spot momentum shifts instantly on the main chart Divergence detection — optional regular bullish and bearish divergence labels plotted directly on the RSI pane Built-in alerts for RSI/MA crosses and divergence signals Settings: RSI length and source fully configurable MA type and length adjustable, with BB standard deviation control Cross colours customisable Divergence calculation toggleable (off by default for performance)
Indicatore Pine Script®
di DJG9911
RSI Multi-Stock Table - (Pre/Post MKT) [HowlyTr]RSI Multi-Symbol Heatmap Table is a high-performance dashboard designed to track momentum across 40 different assets simultaneously. It is specifically optimized for traders who need a bird's-eye view of the market, including full support for Extended Sessions (Pre & Post Market). RSI Focus: Visualizes RSI-8 (customizable) for up to 40 tickers. Market Context: Toggle between regular and extended hours to catch early moves. Heatmap Logic: Instant visual feedback using a 4-tier color system for Overbought/Oversold conditions. Full Customization: Control everything from the list of symbols to the table's position and dark-themed UI.
Indicatore Pine Script®
di hyourkaos
QTP - Stochastic RSIQTP - Stochastic RSI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stochastic RSI applies a Stochastic oscillator to RSI values rather than raw price — producing a faster, more sensitive momentum reading that catches overbought and oversold conditions earlier than either indicator alone. Designed with a high-contrast dark panel and electric blue/hot pink color scheme for instant visual clarity during fast-moving markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ How It Works The indicator first calculates a standard RSI over a configurable period, then runs a Stochastic calculation on that RSI output. This double-processing amplifies momentum shifts — the Stochastic RSI reaches 0 and 100 far more frequently than a standard RSI, making it more responsive to turning points. The %K line (electric blue) represents the smoothed Stochastic of RSI. The %D line (hot pink) is a moving average of %K, acting as a signal line. Crossovers between %K and %D at overbought or oversold extremes mark potential reversal zones. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ RSI-Based Stochastic — Stochastic calculation applied to RSI values instead of price, producing a more sensitive and earlier-reacting oscillator ◆ Independent Length Controls — RSI Length and Stochastic Length are configured separately, giving full control over the indicator's responsiveness and smoothing ◆ Smoothed %K and %D Lines — Adjustable K and D smoothing factors to tune signal quality from aggressive (low smoothing) to conservative (high smoothing) ◆ High-Contrast Dark Panel — Black background fill between the OB/OS bands creates a clean, high-visibility display that stands out on any chart theme ◆ Electric Blue / Hot Pink Color Scheme — Purpose-chosen colors that are visually distinct from each other and from standard chart elements, reducing eye strain during extended sessions ◆ Configurable Levels — Upper band, lower band, and middle reference line are all adjustable inputs — not hardcoded — so you can fine-tune thresholds to match your trading style ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — it appears in a separate lower panel with a dark background for contrast. Watch for %K (blue) crossing above %D (pink) below the lower band — this signals a potential bullish reversal from oversold conditions. Watch for %K (blue) crossing below %D (pink) above the upper band — this signals a potential bearish reversal from overbought conditions. Crossovers in the middle zone (20-80) indicate momentum shifts but carry less conviction than crosses at the extremes. For scalping and intraday, lower the RSI Length and Stochastic Length (e.g. 7/7) for faster signals. For swing trading, keep the defaults (14/14) or increase for smoother readings. Adjust the K and D smoothing to control noise — lower values (1-2) give raw, fast signals while higher values (5-7) produce cleaner but slower crossovers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ K Smoothing — Smoothing applied to the raw Stochastic of RSI (default: 3) ◆ D Smoothing — Signal line smoothing applied to %K (default: 3) ◆ RSI Length — Lookback period for the underlying RSI calculation (default: 14) ◆ Stochastic Length — Lookback period for the Stochastic applied to RSI (default: 14) ◆ RSI Source — Price source for RSI calculation (default: close) ◆ Upper Band — Overbought threshold (default: 80) ◆ Middle Band — Neutral reference line (default: 50) ◆ Lower Band — Oversold threshold (default: 20) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions.
Indicatore Pine Script®
di QTP-CB
Goldilocks and the Three Bears - [Algoat_Alpha]Goldilocks and the Three Bears is a multi-layer confluence indicator that identifies when three independent technical dimensions — trend, momentum, and direction — all align in the same direction. Inspired by the classic fairy tale, it waits for conditions that are "just right" before signaling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The indicator evaluates three independent layers on every bar: Papa (Trend) — A Moving Average (SMA or EMA) establishes the macro trend. Price above the MA = bullish trend. Price below = bearish trend. This is the slowest-moving component and acts as the structural filter. Mama (Momentum) — The Relative Strength Index measures whether buying or selling pressure dominates. RSI above the midline (default 50) = bullish momentum. Below = bearish momentum. This prevents entries against exhausted moves. Baby (Direction) — The MACD-Signal crossover captures the fastest directional shift. MACD above its signal line = bullish direction. Below = bearish direction. This is the trigger layer. A signal fires only when ALL THREE flip into alignment simultaneously — the exact bar where the last component joins the other two. This transition-based logic prevents redundant signals during sustained trends. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY CONFLUENCE MATTERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Each indicator alone produces frequent false signals: • MA alone triggers late in ranges • RSI alone triggers too early in trends • MACD alone whipsaws in choppy markets By requiring all three to agree, the indicator filters out noise that any single layer would miss. The three layers operate on different mathematical principles (price vs. average, momentum oscillator, moving average convergence/divergence), so their agreement represents genuine multi-dimensional confluence — not just the same signal measured three times. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Add the indicator to your chart. The dashboard shows the real-time state of all three layers. 2. When all three show "Bull" → Goldilocks Zone (bullish). A 🐂 label appears on the chart at the entry bar. 3. When all three show "Bear" → Goldilocks Zone (bearish). A 🐻 label appears. 4. "Still Cooking" means the layers are mixed — no directional consensus yet. Hover over any signal label for a detailed tooltip showing the exact values of all three components at the time of the signal. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FEATURES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Auto light/dark theme detection — dashboard adapts to your chart background • Discord-ready webhook alerts — alert messages are formatted as Discord embed JSON, ready to pipe directly into a webhook channel • Pine Screener compatible — includes Signal State, individual component states, and a Bull Count (0-3) for flexible scanner filtering • Minimal chart footprint — only the MA line and signal labels are drawn; bar coloring is off by default • Fully configurable — all indicator lengths, thresholds, dashboard position and size are adjustable in settings ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALERTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Three alert conditions are available: • 3 Bulls Aligned (Long Entry) • 3 Bears Aligned (Short Entry) • Full Confluence (Any Direction) All alert messages include ticker, timeframe, price, and component status. Messages are pre-formatted as Discord webhook JSON — just paste your webhook URL in TradingView's alert notification settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PINE SCREENER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Scanner columns exported: • Signal State → 1 (bullish), -1 (bearish), 0 (no confluence) • Papa Bull / Mama Bull / Baby Bull → individual component states (1 or 0) • Bull Count → number of bullish layers (0 to 3), useful for "almost there" scans ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator does not repaint and does not use request.security(). All calculations are performed on the current chart's timeframe. Open source under MPL 2.0. Stay Liquid.
Indicatore Pine Script®
di Algoat_Alpha
Ultimate Moving Average Structure System MAX [PRO]Ultimate MA Structure System MAX This indicator provides a complete institutional-style moving average structure visualization tool. Designed for advanced market structure analysis, including: • SMA/EMA multi-layer structure (20 / 60 / 120) • Golden / Death Cross signals • Bullish/Bearish MA Stack detection • Trend Score & Market Phase analysis • Support & Resistance detection • Linear Regression Trend Channel • MA Offset markers and price tags • Full modular control with master switch Market Phase Identification: - Accumulation - Markup - Distribution - Markdown Trend Strength: Provides a numerical trend score based on MA alignment and slope dynamics. Suitable for stocks, forex, crypto, and futures. Intended for research and market structure study purposes only.
Indicatore Pine Script®
di Loyarn
Chandelier Exit v61) Core Perspective Long Exit: The Most Important Protective Line for Long Positions Short Exit: Auxiliary Line for Determining Inversions and Trend Switches 2) Buy some signals The logic for a BUY is: Price Short Exit If you enable EMA filtering, you need to stand on the EMA at the same time. If you have enabled volume filtering, you need to meet the volume requirements simultaneously. This is a bit more practical than the original version, filtering out some random signals. 33）Selling Point Signals The logic for SELL appearing is: Price downstream Long Exit If you enable filtering, you also need to meet the filtering conditions. This is suitable for you to do: Band-based profit-taking Stop-loss tracking Prevent profit reversals How to set parameters most practically Short-term You can try: CE Length = 14 ATR Length = 14 ATR Multiplier = 2.0 ~ 2.5 EMA = 10 or 20 Volume filter: Enable Features: More sensitive Suitable for short-term rhythms But it's easier to wash out. band You can try: 22 / 22 / 3 EMA = 20 Volume filter: openable or openable This is the most common set. Centerline You can try: 30 / 30 / 3 Or 22 / 22 / 4 Features: More stable But the selling point will be a bit slower. The most practical advice for you You tend to prefer short-term + band + quantitative funding, and this version suggests doing it like this: Short-term configuration Enable EMA Trend Filtering Enable volume filtering Parameters: 14 / 14 / 2.5 Band configuration Enable EMA Trend Filtering Volume filtration is optional. Parameters: 22 / 22 / 3
Indicatore Pine Script®
di jackliukr
Mizan PSI: EnhancedMizan PSI v2: The Physics of Price Efficiency & Volume Mass Overview The Mizan PSI v2 (Pure Sentiment Index) is not just another oscillator; it is a Kinetic Energy Engine. this indicator moves away from traditional price-averaging and focuses on the "Ontological Reality" of a candle: Efficiency and Mass. Most indicators treat every price movement as equal. Mizan PSI knows better. It asks two critical questions: Efficiency: How much of the candle's total range is actual "Body" versus "Wasted Energy" (Wicks)? Mass: Is the move backed by Volume (Real Force) or is it a low-liquidity "Illusion"? How the Engine Works 1. The Efficiency Filter (Entropy Reduction) In the Mizan framework, long wicks represent Market Entropy—conflicting forces that cancel each other out. The Logic: If a candle's body-to-range ratio is below your chosen Threshold, the move is discarded as Noise (0). The Result: You only see signals when the market shows "Pure Intent." 2. Volume Weighting (The Merit Factor) Price movement without volume is like a car rolling down a hill in neutral—it has no engine power. The Logic: The script calculates a vol_factor by comparing current volume to a 50-period SMA. The Result: High-volume "Breakouts" are amplified, while "Fakeouts" on low volume are dampened or ignored. 3. HMA Smoothing (Zero-Lag Reaction) Instead of the lagging EMA, Mizan PSI v2 utilizes the Hull Moving Average (HMA). This allows the oscillator to track the "Kinetic Energy" of the trend with near-zero lag, identifying exhaustion points before the price actually turns. Color,State,Market Psychology Solid Cyan,Above 0 & Rising,Kinetic Power: Strong Buyer dominance. Faded Cyan,Above 0 & Falling,Exhaustion: Buyers are still in control but losing steam. Solid Red,Below 0 & Falling,Kinetic Power: Strong Seller dominance. Faded Red,Below 0 & Rising,Reaction: Sellers are exhausted; a relief rally is likely. Key Features Noise Threshold: Customizable sensitivity to filter out "Doji" markets. Momentum Loss Signals: Small orange circles appear when the trend begins to "bleed" energy, warning you of a potential reversal before it happens. Volume Integration: Can be toggled on/off to suit both high-cap (BTC/ETH) and low-cap assets. Conclusion Mizan PSI v2 is built for the disciplined trader who seeks the "Pure Justice" (Saf Adalet) of the market—trading only when efficiency and mass are in alignment. "Stop trading the noise. Start trading the Mass."
Indicatore Pine Script®
di muratkavak02
Stochastic RSI with alerts - Danny GeeStochastic RSI — Zone Signal Edition The classic Stoch RSI with visual alerts built in so you never miss a key momentum shift. Features: Standard Stoch RSI (K & D lines) with configurable lengths and smoothing Zone entry candle colouring — price candles colour the moment K enters overbought (>80) or oversold (<20), so you see the signal on the main chart without watching the indicator pane Zone exit candle colouring — separate colour fires when K crosses back out of the zone, flagging the potential momentum reversal point BUY/SELL arrows plotted inside the indicator pane on zone entry for extra visibility All colours fully customisable and independently toggleable Signals: 🔴 Candle + SELL arrow — K enters overbought zone (>80) — look for sell FVG 🟢 Candle + BUY arrow — K enters oversold zone (<20) — look for buy FVG 🟠 Candle — K exits overbought — momentum fading, potential move beginning 🩵 Candle — K exits oversold — momentum fading, potential move beginning Alerts included for all four conditions.
Indicatore Pine Script®
di DJG9911
Up/Dn Volume Sentiment Strategy**Volume Sentiment Oscillator Strategy (Up/Down Volume, Mean Reversion, R-Multiple Risk Management)** This strategy converts the Up/Down Volume Ratio into a normalized sentiment oscillator designed to identify potential exhaustion in buying or selling pressure. The idea is that when trading volume becomes heavily skewed toward one side of the market, sentiment may be reaching an extreme that can lead to a reversal or mean-reversion move. The script calculates buying pressure as the volume occurring on bars that close higher than the previous bar, and selling pressure as the volume occurring on bars that close lower. These values are smoothed and converted into an Up/Down Volume Ratio. That ratio is then normalized over a configurable historical range (default: three years) to produce a **0–100 sentiment oscillator**. This normalization allows traders to quickly see when the current level of buying or selling pressure is historically extreme. **Strategy logic** • Long positions open when the sentiment oscillator drops below a configurable oversold threshold (default: 10). • Short positions open when the oscillator rises above a configurable overbought threshold (default: 90). These thresholds represent situations where participation becomes heavily one-sided. **Risk management** Risk is defined as a percentage distance from the entry price (default: 5%). Profit targets are expressed in **R multiples**, where: • 1R = the distance from entry to stop loss • 2R = twice the stop distance • 3R = three times the stop distance Using R-based exits allows traders to experiment with different reward-to-risk profiles and analyze how exit logic affects the system's expectancy. **Configurable inputs** • Up/Down volume smoothing length • Normalization lookback period • Long entry threshold • Short entry threshold • Stop-loss percentage • Profit target (R multiple) **Use cases** This strategy can be used as a research tool to study how extreme participation levels influence price behavior. It may be applied across stocks, indexes, and other liquid markets to evaluate mean-reversion tendencies driven by volume imbalance. As with any systematic model, traders should test across multiple markets and timeframes to understand its strengths and limitations.
Strategia Pine Script®
di cheerfulPepperbruuy