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Price-Time Confluence EnginePrice-Time Confluence Engine is a two-component analytical framework designed to examine how price-based volatility behavior and time-based momentum rhythm align on a chart. The script is intended for visual context and structural analysis. It does not predict price, generate trade instructions, or guarantee outcomes. Component A — Price-Based Volatility Context (Overlay) This component plots volatility-derived reference levels directly on the price chart. ATR Target A single ATR-based reference level is calculated from the current bar: If the current close is higher than the prior close, the target is placed above price. If the current close is lower than the prior close, the target is placed below price. If the close is unchanged, no new target is generated. The ATR target represents a volatility reach reference, not a forecast. Mean & Deviation Bands A statistical context layer is added using: A simple moving average (mean) Up to four standard-deviation bands (mean ± N × deviation) These bands provide range context for assessing whether volatility behavior is occurring within relatively normal or extended conditions. Target and HIT Labels A Target label marks the ATR reference level. A HIT label appears when price reaches that ATR level on the same bar. An optional filter can require the ATR target to fall within the first deviation band before a HIT is printed, limiting labels in extended conditions. Label history can be limited to the most recent N labels or allowed to persist (with a safety cap). Component B — Time-Based Momentum Context (Indicator Pane) This component analyzes momentum rhythm using a Stochastic RSI oscillator and a visual projection tool. Live Stochastic RSI RSI is calculated from price. A stochastic transform is applied to RSI. %K and %D lines are smoothed using user-defined inputs. Overbought and oversold reference levels are displayed. This provides real-time momentum context. Projection Clone (Pattern Comparison) A historical segment of the oscillator is selected using bars-back inputs, then: Re-plotted forward by a user-defined shift Optionally normalized to the recent oscillator range for visual consistency This feature is a pattern-comparison and rhythm-study tool, not a prediction model. Timing Annotations When projected %K and %D segments cross: Vertical dotted timing markers may be drawn in the pane Small directional arrows may be placed near the crossing level An optional single “Projected Cross” label highlights the nearest upcoming projected crossing These annotations identify potential timing alignment points, not trade signals. Intended Interpretation The script is designed to help users observe situations where: Price volatility reference levels and Momentum timing behavior appear near each other in time. This proximity is presented as context for analysis, not confirmation of reversal, continuation, or outcome. Chart Setup Notes Price-based elements are plotted on the price scale. Ensure the indicator is properly aligned with the chart’s price scale if using custom layouts. The projection feature relies on historical data. Symbols or settings with limited available history may restrict projection length. Important Notes ATR targets are volatility references, not price predictions. Projection patterns may or may not repeat. HIT labels indicate that a defined volatility condition occurred; they are not buy or sell signals. This script is intended for educational and analytical use only.
Penunjuk Pine Script®
oleh Dinjin
Target Ladder Pro - MTF ATR + HIT ConfirmationTarget Ladder Pro is a volatility-based target framework that plots multi-timeframe ATR-derived upper and lower reference levels on the price chart and can optionally print HIT confirmations when a defined ATR target is reached. This script is designed to provide structured volatility context (reach zones, range framing, and objective “target reached” tagging). It does not predict price direction, does not guarantee outcomes, and is not intended as a standalone signal generator. What This Script Displays 1) Multi-Timeframe ATR Target Ladder (1H / 4H / 1D / 1W) For each enabled timeframe, the script calculates ATR using higher-timeframe data via request.security() (no lookahead), then plots: Upper level: Base + ATR × Multiplier Lower level: Base − ATR × Multiplier The “Base” can be set to: the current chart price (for immediate relevance), or the timeframe’s own close (for a strict MTF reference) Each timeframe’s upper and lower levels are drawn as price-chart lines. Last-Bar Target Balloons (per timeframe) On the last bar, the script prints balloon labels for each timeframe’s upper and lower level. Horizontal x-offsets are configurable per timeframe to keep stacked labels readable. 2) ATR Target + Deviation Bands (Context Layer) A separate ATR target module calculates a single ATR reference level for the current bar based on candle direction (up/down close relative to the prior close). It also optionally plots: a mean line (moving average), and up to four standard-deviation bands (mean ± N × deviation) These bands provide statistical range context around price. Target / HIT Labels (per bar) When enabled: a Target label marks the computed ATR target level a HIT label appears when price reaches that target on the same bar (high/low touch rule) An optional filter can require that the ATR target is inside the first deviation band before printing a HIT label, reducing HIT labels during extended conditions. Label history can be limited to the most recent N labels or allowed to persist (with a safety cap). How to Use Enable the timeframes you want to display (e.g., 1H / 4H / 1D / 1W). Adjust ATR length and multipliers per timeframe to match the asset’s volatility profile. Choose whether MTF ladder levels are anchored to current price or the timeframe’s own close. Use the ladder levels as volatility reach reference zones above and below price. Use Target/HIT labels as objective “condition occurred” markers for review and journaling. Notes and Limitations ATR levels are volatility references, not forecasts or guarantees. Targets may be reached frequently in high-volatility regimes and rarely in compressed markets. HIT labels indicate that a defined volatility condition occurred; they do not imply reversal or continuation on their own. This script is provided for informational and educational purposes only and does not constitute financial advice.
Penunjuk Pine Script®
oleh Dinjin
Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Penunjuk Pine Script®
oleh neeson1987
MarketStructureLab Structure Zones (FREE) This indicator highlights key structural zones where the market is most likely to: • continue the current move • pause, consolidate, or transition into a range There are no buy/sell signals, arrows, or predictions. Only structure, context, and reaction areas. How it works • Detects confirmed swing highs and lows using pivot logic • Filters insignificant moves with an ATR-based threshold • Builds structure zones (ranges, not lines) around key levels • Displays only the active working window around the current price • Shows a simple Market State: Trend / Range / Transition No repaint tricks. No future leaks. Pure price structure. How to use Use the zones as context, not signals: • observe reactions and acceptance • combine with your own entry model (price action, volume, trend filter) • works on any market and any timeframe This tool is designed for traders who prefer clarity over complexity. This is a FREE MVP version. More advanced structure logic and tools will be released in future versions. Not financial advice. market structure, structure zones, support resistance, supply demand, swing, pivot, price action, range, trend, ATR
Penunjuk Pine Script®
oleh MarketStructureLab
1
UFX PRO How it works The indicator plots a single line on the chart that changes position and color depending on the trend: 🟢 Uptrend: The SuperTrend line is below the price → bullish bias 🔴 Downtrend: The SuperTrend line is above the price → bearish bias When the price crosses the SuperTrend line, it often signals a potential trend reversal. ✅ Advantages ✔ Easy to read ✔ Works well in trending markets ✔ Adaptive to volatility ✔ Useful for stops and trend confirmation
Penunjuk Pine Script®
oleh UFXAlgo
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. 🔑 Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points. Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short). ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands). MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below). How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish). Sell ​​(Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
Penunjuk Pine Script®
oleh mehmetbezgincan
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed. THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center. THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029. HOW TO READ THE CHART • The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion. • The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature. • The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029. WHY THIS IS "FRESH" Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant. This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption. DISCLAIMER This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action. TAGS bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
Penunjuk Pine Script®
oleh Rob_Maths
channeller proChanneller Pro - Statistical Price Channel Detection What This Script Does Channeller Pro identifies and draws price channels using pivot points, linear regression, and quality filters. It detects bullish and bearish channels and draws support/resistance lines with quality metrics. Originality & Methodology This script combines: Pivot Point Detection: Uses TradingView's ta.pivothigh() and ta.pivotlow() with configurable left/right lookback to identify swing highs and lows. Linear Regression Analysis: Fits a least-squares regression line through detected pivot points to determine channel slope and intercept. R² Quality Scoring: Calculates the coefficient of determination (R²) to measure regression fit quality. R² values closer to 1.0 indicate stronger linear alignment of pivots. Channels below the minimum R² threshold are filtered out. Pattern Validation: Bullish channels require higher lows (ascending pivot lows) Bearish channels require lower highs (descending pivot highs) This ensures channels align with trend structure ADX Trend Filter: Uses Average Directional Index (ADX) to show channels only when trend strength exceeds a threshold, reducing false signals in choppy markets. Volume Confirmation (optional): Filters channels based on volume exceeding a moving average threshold. Dynamic Channel Width: Calculates channel width by finding the maximum deviation from the regression line within the pivot range, then draws parallel support/resistance lines. Channel Invalidation Logic: Tracks bounces and pierces. Channels are invalidated after multiple pierces through support/resistance, ensuring only active channels are displayed. How It Works Detection Process: Identifies pivot highs/lows using the specified lookback periods Stores recent pivots in arrays (configurable max count) When minimum pivot count is reached, calculates linear regression through pivot points Validates the channel by checking: R² score meets minimum threshold (default 0.7) Slope direction matches trend (positive for bullish, negative for bearish) Pattern structure (higher lows for bullish, lower highs for bearish) ADX exceeds threshold (if enabled) Volume confirmation (if enabled) If valid, draws support/resistance lines parallel to the regression line Continuously monitors for channel breaks and invalidates when pierced multiple times Mathematical Foundation: Linear regression uses least squares: y = slope × x + intercept R² calculation: R² = 1 - (SS_res / SS_tot) where SS_res is residual sum of squares and SS_tot is total sum of squares Channel width = maximum price deviation from regression line within pivot range How to Use Basic Setup: Apply the indicator to your chart Adjust "Pivot Lookback Left/Right" to control pivot sensitivity (default 10 bars each) Set "Min Pivots for Channel" (default 3) - higher values require more confirmation but reduce false signals Configure "Min R² Score" (default 0.7) - higher values show only the best-fitting channels Filter Configuration: ADX Filter: Enable to show channels only during trending conditions (ADX > threshold) Volume Filter: Enable to require volume confirmation for channel formation HL/LH Pattern: Keep enabled to ensure channels follow proper trend structure Trading Applications: Support/Resistance: Use channel boundaries as dynamic support/resistance levels Trend Following: Trade bounces off channel boundaries in the direction of the trend Breakout Trading: Monitor for channel breaks as potential trend reversal signals Channel Quality: Higher R² scores (displayed in labels) indicate stronger, more reliable channels Display Options: Toggle channel fills, mid-lines, pivot markers, and labels Adjust projection length to extend channels into the future Customize colors for bullish/bearish channels Alerts: The script includes alerts for: New channel formation Channel break/invalidation New pivot detection Important Notes Channels are statistical constructs based on historical pivot points and do not guarantee future price action R² scores indicate fit quality, not trading performance Channels may be invalidated as market conditions change Past channel performance does not predict future results Always use proper risk management and combine with other analysis methods Technical Details Built-in Pine Script v6 Uses arrays for pivot storage and management Implements custom linear regression calculation Real-time channel validation and invalidation Configurable quality thresholds and filters
Penunjuk Pine Script®
oleh RickyTSpanish
Piv X ProPiv X Pro - Advanced Pivot Detection with Multi-Timeframe Confluence Analysis Overview Piv X Pro identifies pivot highs and lows using a confluence scoring system. It combines pivot detection, volume-weighted analysis, Williams %R divergence, and multi-timeframe confirmation to highlight higher-probability pivot zones. What Makes This Script Original This script combines several components into a single workflow: Dynamic pivot strength calculation based on ATR Confluence scoring (10+ factors) to rank pivot quality Multi-timeframe VWAP analysis (bottom/top extremes plus period-based VWAPs) Williams %R divergence detection with anchored VWAPs Market structure shift (CHoCH) identification Real-time and confirmation modes for different trading styles How It Works Pivot Detection: Uses ATR-based dynamic pivot strength (adjusts to volatility) Filters pivots by significance (distance from recent averages) Optional volume confirmation Real-time mode for immediate detection or confirmation mode for verified pivots Confluence Scoring System: Each pivot receives a score (0-100+) based on: Volume spikes (15 points) Higher timeframe trend alignment (20 points) RSI oversold/overbought conditions (25 points) Price exhaustion signals (10 points) RSI divergence (15 points) Swing failure patterns (15 points) Liquidity sweeps (10 points) Candle reversal confirmation (10 points) Key level alignment (10 points) Fair value gap fills (10 points) Session weighting (10 points) Multi-timeframe pivot confluence (15 points) Major Pivot Thresholds: Real-time mode: 60+ confluence score Confirmation mode: 80+ confluence score Golden zones: 90+ score (highlighted differently) VWAP Analysis: Bottom/Top VWAPs: Anchored to absolute extremes within a lookback period Period VWAPs: Weekly, Monthly, Yearly, plus 4D, 9D, 4H, 8H Previous period VWAPs: Shows last period's VWAP for reference Williams Divergence VWAPs: Anchored VWAPs triggered by bullish/bearish divergences Market Structure: Identifies Market Structure Shifts (CHoCH) when pivot sequences break Draws structure lines connecting major pivots Visual zones around major pivot levels How to Use Setup: Apply to any timeframe (optimized for 1min, 5min, 15min, 1H) Adjust pivot detection sensitivity via "ATR Pivot Strength Multiplier" Choose Real-Time Mode (immediate) or Confirmation Mode (verified pivots) Reading the Signals: Major Pivot Low (PL): Green zones with confluence score Major Pivot High (PH): Purple zones with confluence score Golden Zones: Yellow highlights (90+ score) CHoCH: Blue dashed lines marking structure breaks Williams Divergence: Triangles + anchored VWAP lines Trading Applications: Support/Resistance: Use major pivot zones as key levels Entry Timing: Combine confluence scores with price action Trend Following: Use CHoCH signals for trend changes Divergence Trading: Williams %R divergences with anchored VWAPs Multi-Timeframe: Use HTF trend filter and VWAPs for context Important Notes: This is a technical analysis tool, not a trading system Confluence scores indicate probability, not guarantees Past performance does not predict future results Always use proper risk management Combine with your own analysis and strategy Key Features Pivot Quality Filters: ATR-based significance filtering Volume confirmation (optional) Multi-timeframe confluence Session-based weighting (optional) Visual Elements: Pivot zones (extendable boxes) Structure lines (connecting major pivots) CHoCH markers (market structure shifts) Multiple VWAP overlays Williams divergence markers Customization: Adjustable pivot strength multiplier Enable/disable individual confluence factors Customizable colors and visual styles Alert system for major pivots and structure shifts Technical Details Open Source: This script is open source. The code is available for review and modification. Users can see exactly how calculations are performed. Calculations: Pivot detection uses ta.pivothigh() and ta.pivotlow() with dynamic strength VWAP calculations use cumulative price×volume / cumulative volume Confluence scoring is additive based on multiple technical factors Williams %R divergence uses pivot comparison logic Limitations: Historical data access limits apply (Pine Script constraints) Structure lines limited to 500 bars for performance Real-time mode may show pivots that later invalidate Confirmation mode adds lag but increases reliability Disclaimer This script is for educational and informational purposes. It does not provide financial advice. Trading involves risk. Always do your own research and use proper risk management. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh RickyTSpanish
ATR BUY / SELLATR Multiplier Buy/Sell Levels is a clean, always-on reference tool that plots two dynamic price levels based on ATR volatility. It continuously calculates a Buy Level above price and a Sell Level below price using your selected ATR length and multiplier, adapting in real time as volatility expands or contracts. Both lines are tracked on the price scale so the current levels are always visible, and you can optionally display last-bar labels to read the exact values instantly. Use it to frame volatility-based targets, define trigger zones, and keep consistent distance levels across any market and timeframe.
Penunjuk Pine Script®
oleh EVLabs