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Flow EngineFlow Engine Most indicators tell you which direction price is moving. Flow Engine tells you whether to trust it . It does this by combining momentum, volume, trend, and a higher timeframe check all into one pane, plus it draws divergence signals directly on your price chart so you never have to look away. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT'S ON THE SCREEN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Histogram (the bars) This is the main thing. The height of each bar shows how strong the momentum is. The color tells you the direction — cyan for up, red for down. The part that makes this different is the opacity . If a bar is bright and vivid, it means big volume is behind that move. If a bar looks faded or ghosted, the move happened on low volume and probably won't last. You can see this instantly without checking a separate volume pane. Tall vivid cyan bar = strong upward move with real volume behind it Tall faded cyan bar = price went up but nobody really showed up Same logic applies on the red side The OB/OS Line This line tells you when things are getting stretched too far in one direction. When it goes above +70 — the move is getting overdone on the upside. When it drops below -70 — the selloff is getting overdone. In between — cyan means leaning bullish, red means leaning bearish The Trend Line A slow moving line that tells you what the overall structure looks like on your current timeframe. Lime green above zero — uptrend Soft red below zero — downtrend Think of it as the background context. When this line is green, you want to be looking for longs. When it's red, be careful going long or look for shorts instead. The Background Tint (HTF Bias) A very subtle color behind everything that comes from a higher timeframe — by default the Daily chart. Cyan tint — the daily trend is bullish Red tint — the daily trend is bearish No tint — daily is mixed, no clear direction This is the big picture check. If you are trading a 15 minute chart and the background is red, you know you are going against the daily trend. That doesn't mean you can't trade, but you should be more careful. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DIVERGENCE SIGNALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Divergence is when price and momentum stop agreeing with each other. It usually means the current move is running out of steam. Bearish divergence — price made a higher high but the histogram made a lower high. The rally is weakening. Orange triangle appears above the candle on your price chart. Bullish divergence — price made a lower low but the histogram made a higher low. The selloff is weakening. Green triangle appears below the candle on your price chart. You also get a dashed line drawn on the Flow Engine pane connecting the two points so you can see exactly where the divergence happened. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Momentum Length (14) — how many bars the momentum calculation looks back. Lower number reacts quicker but gives more false signals. Higher number is slower but cleaner. Volume MA Length (20) — the average used to judge whether current volume is high or low. Leave this at default unless you have a reason to change it. Overbought Level (70) — where the OB/OS line turns orange. Lower this if you want earlier warnings. Oversold Level (-70) — where the OB/OS line turns green. Change this together with the overbought level. Trend Length (50) — how slow the trend line moves. Higher number = smoother line. Pivot Lookback Left & Right (5) — controls how strict the divergence detection is. Raise both to 8 or 10 if you are getting too many signals. Lower to 3 if you want more. HTF Timeframe (D) — the higher timeframe for the background tint. Set this one step above whatever chart you are on. D = Daily, W = Weekly, 240 = 4 Hour. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Every time you look at the indicator, go through it top to bottom: Check the background tint — what is the daily (or higher TF) saying? Check the trend line — is the current chart agreeing with that? Check the OB/OS line — are we stretched? If yes, don't chase. Check the histogram — is momentum vivid (real) or faded (weak)? The best setup looks like this: Background is cyan + trend line above zero + OB/OS line near oversold + bullish divergence triangle on the chart + histogram bars turning bright cyan When all of that lines up, the move has multiple things confirming it at the same time. That's when you pay attention. A quick tip on the faded bars: Don't get excited about a tall bar if it's faded. Price can move fast on thin volume and snap right back. The vivid bars are the ones that tend to follow through. Which timeframe to set HTF to: Trading 1m or 5m → set HTF to 1H or 4H Trading 15m or 1H → keep HTF on Daily Trading 4H or Daily → set HTF to Weekly ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GOOD TO KNOW ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Does not repaint — signals are based on confirmed bars only Divergence signals show up a few bars after the actual pivot Looks best on a dark theme
אינדיקטור Pine Script®
מאת ‎AdarshShrma‎
Luminance Breakout Engine [LuxAlgo]The Luminance Breakout Engine indicator is a high-performance momentum oscillator designed to identify institutional breakout zones and trend transitions through multi-timeframe analysis and adaptive volatility thresholds. 🔶 USAGE The indicator functions as a comprehensive momentum "engine," mapping price velocity across four different timeframes into a single composite oscillator. It identifies high-probability breakout zones by monitoring when this composite momentum breaches adaptive volatility bands. 🔹 Luminance Glow Zones When the oscillator enters the "Glow" zones (beyond the dotted thresholds), it indicates an extreme momentum breakout. These zones are often the precursor to sustained trends or significant institutional expansions. The oscillator changes color to a neon glow to highlight these high-intensity moves. 🔹 Institutional Order Blocks At the exact moment a "Glow" breakout is triggered, the engine identifies the origin candle of that move and plots a Luminance Order Block (OB) on the price chart. These blocks represent areas where institutional liquidity was likely deployed to start the move. 🔹 Volume Breakdown Stats Each Order Block features a unique "Volume Split" dashboard on the right edge. This provides a percentage-based breakdown of Bullish vs. Bearish volume during the five bars leading up to the breakout, helping traders understand the quality of the move's participation. 🔶 DETAILS The script utilizes a weighted Composite Rate of Change (ROC) calculation across four periods (Fast, Medium, Slow, and Macro). This ensures that the oscillator only reaches extreme "Glow" levels when momentum is synchronized across multiple time-horizons. The thresholds are not static; they use a standard deviation of the oscillator's own history to create an adaptive "envelope." This allows the indicator to remain sensitive during low-volatility periods while filtering out noise during highly volatile market conditions. The Order Blocks remain active on the chart until "mitigated" (when a candle closes through the zone). Once mitigated, the internal volume data is cleared, and the zone becomes a dotted historical reference. 🔶 SETTINGS 🔹 Oscillator Settings Fast/Medium/Slow/Macro Period: The lookback periods used for the multi-timeframe composite ROC calculation. Smoothing: The EMA length applied to the final oscillator to reduce noise. 🔹 Visual Settings Threshold Multiplier: Controls the sensitivity of the breakout "Glow" zones. Higher values require more extreme momentum to trigger. Show Base Heatmap: Toggles the gradient fill between the zero line and the signal. Show Threshold Glow: Toggles the neon fills that appear during volatility breakouts. 🔹 Order Blocks Show Luminance OBs: Enables the plotting of institutional zones on the price chart. Max OBs per Side: Limits the number of active/historical zones to keep the chart clean. Show Volume Stats: Toggles the B:XX% ┃ S:YY% volume breakdown labels. Label Offset: Shifts the statistics labels to the right to prevent overlap with price action. Label Size: Adjusts the text size of the volume statistics (Tiny, Small, Normal, Large). 🔹 Color Settings Momentum Colors: Sets the primary colors for bullish and bearish trends. Glow Colors: Sets the high-intensity colors used during breakout phases. Zero Line Color: Customizes the appearance of the central equilibrium line.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
1
Geometric Bias Oscillator [LuxAlgo]The Geometric Bias Oscillator indicator provides a normalized measure of market structure by comparing the cumulative magnitude of bullish and bearish segments derived from a simplified price path. It utilizes the Ramer-Douglas-Peucker (RDP) algorithm to filter out market noise, allowing traders to identify the underlying structural bias within a specific lookback window. 🔶 USAGE The indicator oscillates between -100 and 100, where positive values indicate a dominant bullish structure and negative values indicate a dominant bearish structure. Unlike traditional oscillators that rely on raw price changes or moving averages, this tool focuses on the "weight" of simplified structural movements. Traders can use the oscillator to: Identify the prevailing trend bias based on structural significance rather than just closing prices. Spot potential reversals when the oscillator crosses the zero line, signaling a shift in structural dominance. Assess the strength of a trend; values near 100 or -100 suggest a highly directional market with very little structural retracement. 🔹 Visual Interpretation The indicator features a dynamic gradient fill to provide better visual context. When the oscillator is above zero, a green gradient appears, with higher values showing increased intensity. Conversely, when below zero, a red gradient indicates bearish structural dominance. A hidden zero line serves as the central axis for these transitions. 🔶 DETAILS The Geometric Bias Oscillator employs several advanced geometric concepts to determine market bias. 🔹 Ramer-Douglas-Peucker (RDP) Algorithm The core of the calculation is the RDP algorithm, a line-simplification technique. It takes the price action over the defined "Window Size" and reduces it to a series of essential points. By eliminating minor price fluctuations (noise) that fall below a specific distance threshold, the algorithm reveals the primary "skeleton" of the market structure. 🔹 Coordinate Normalization To ensure the simplification is consistent across different assets and volatility regimes, the script normalizes price coordinates using the Average True Range (ATR). Price values are divided by the ATR before the RDP distance calculations are performed. This ensures that the "ATR Multiplier" setting remains meaningful regardless of whether the asset is highly volatile or stable. 🔹 Structural Magnitude Calculation Once the simplified structure is established, the script calculates the vertical distance (magnitude) of every segment in the path. These segments are categorized into bullish (upward) and bearish (downward) moves. The final oscillator value represents the percentage difference between the total bullish magnitude and the total bearish magnitude relative to the total structural movement. 🔶 SETTINGS Window Size : The number of recent bars used to construct the structural path for the RDP algorithm. ATR Multiplier : The sensitivity threshold for simplification. Higher values result in a more aggressive simplification, keeping only the most significant structural pivots. ATR Length : The period used to calculate the ATR for price normalization. Smoothing : Applies a Simple Moving Average to the final oscillator values to reduce jaggedness in the output. Bullish Color : The color used for the oscillator and gradient when structural bias is positive. Bearish Color : The color used for the oscillator and gradient when structural bias is negative.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
Stochastic Adaptive %D [LuxAlgo]The Stochastic Adaptive %D Difference Oscillator indicator provides a sophisticated alternative to classic momentum oscillators, prioritizing a balance between high-grade smoothing and adaptive reactivity. By calculating the divergence between a pre-smoothed Stochastic %D and a specialized Adaptive %D signal line, this tool highlights momentum shifts with significantly reduced noise while maintaining the ability to react quickly to trend accelerations. 🔶 USAGE This indicator is designed for traders who require the clarity of a smooth oscillator without the lag typically associated with heavy filtering. The "Difference Oscillator" component serves as the primary visual guide, representing the spread between momentum and its adaptive average. 🔹 Signal Generation The indicator features three main visual components: Standard %D Line: A dual-smoothed stochastic calculation that acts as the core momentum measure, plotted as a dotted line. Adaptive %D Line: A reactive signal line that adjusts its smoothing alpha based on market intensity, plotted as a dashed line. Difference Oscillator: A histogram-style fill centered at the 50 midline. This represents the momentum "delta"—when price velocity accelerates away from the adaptive baseline, the oscillator expands, providing earlier warning of trend strength or exhaustion. When the Standard %D leads the Adaptive %D, the oscillator fills green, suggesting bullish momentum. When it lags, it fills red, suggesting bearish momentum. The expansion and contraction of this fill help identify whether a trend is gaining or losing "torque" relative to its adaptive mean. 🔶 DETAILS The script achieves its unique balance through a specialized architectural approach that focuses on conserving smoothness while remaining reactive to volatile shifts. 🔹 Smoothness Conservation To eliminate the "jaggedness" often found in standard Stochastics, the indicator applies a pre-smoothing filter (SMA) to the High, Low, and Close sources. This ensures that the foundation of the calculation is filtered for noise before the Stochastic formula is even applied, resulting in much cleaner oscillations. 🔹 Adaptive Reactivity The Adaptive %D signal line employs a variable alpha smoothing mechanism. The "speed" of the signal line is dynamically linked to the position of the %D relative to the 50 midline. Trend Extremes: As momentum reaches overbought (80) or oversold (20) zones, the alpha increases. This allows the signal line to track the %D more aggressively, capturing the peak of the move. Mean Reversion/Ranging: Near the 50 midline, the alpha decreases, making the signal line more "stubborn" and less prone to whipsaws during low-conviction market phases. 🔶 SETTINGS 🔹 Stochastic Settings Stochastic Length: The lookback period used for the raw stochastic range calculation. %K Smoothing: Determines the internal smoothing applied to produce the standard %D line. Price Pre-Smoothing: The length of the SMA applied to price sources before the oscillator is calculated to ensure foundational smoothness. 🔹 Adaptive Smoothing Settings Attenuation Factor: A sensitivity multiplier that controls the reactivity of the Adaptive %D. Higher values increase the "inertia" of the adaptive calculation, making the signal line more conservative. 🔹 Colors Standard %D Color: Sets the color for the core momentum dotted line. Adaptive %D Color: Sets the color for the reactive signal dashed line. Bullish/Bearish Color: Defines the colors used for the Difference Oscillator's gradient fill.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
Isotonic Regression Oscillator [LuxAlgo]The Isotonic Regression Oscillator indicator aims to quantify the degree of trendiness and structural complexity in price movement by comparing non-decreasing and non-increasing fits. It uses the Pool Adjacent Violators Algorithm (PAVA) to determine the best-fitting monotonic sequence for a given period, providing a normalized oscillator that highlights the strength and direction of the underlying trend. Note: The isotonic regression fit displayed on the price chart is subject to repainting and is displayed retrospectively to illustrate the most recent calculation window. 🔶 USAGE The indicator consists of an oscillator oscillating between -100 and 100, and a visual fit line displayed on the price chart. 🔹 Interpretation Positive Values: Indicate that a non-decreasing (bullish) fit has a lower Mean Squared Error (MSE) than a non-increasing fit. Higher values suggest a more complex, multi-step bullish structure. Negative Values: Indicate that a non-increasing (bearish) fit has a lower MSE. Lower values suggest a more complex bearish structure. Zero Crosses: A crossing of the zero line indicates a shift in the "best fit" direction, signaling a potential change in the dominant trend bias. 🔹 Fit Complexity The magnitude of the oscillator is determined by the number of "pools" or steps in the regression fit. A value near 100 or -100 suggests a highly granular fit that closely follows the price movement, while values near 0 suggest a very simple, flat, or linear-like monotonic structure. 🔶 DETAILS 🔹 The PAVA Algorithm Isotonic regression involves finding a series of non-decreasing (or non-increasing) values that are as close as possible to the original data points. The script implements the Pool Adjacent Violators Algorithm (PAVA). This algorithm works by iteratively averaging adjacent values that violate the monotonic constraint (e.g., in a non-decreasing fit, if a previous value is greater than the current value, they are pooled together and averaged). 🔹 MSE-Based Selection For every bar, the indicator calculates two regressions: one forced to be non-decreasing and one forced to be non-increasing. It calculates the Mean Squared Error (MSE) for both. The fit with the lower MSE is selected as the representative model for the current price action. 🔹 Normalization The oscillator value is normalized based on the number of unique "pools" (constant segments) found by the PAVA. The formula used is: ((Number of Pools - 1) / (Period - 1)) * 100 This scales the complexity of the trend into a readable range of 0 to 100 (or -100 for bearish fits). 🔶 SETTINGS Period: The lookback window used to calculate the isotonic regression fits. Source: The price data used for the calculations (defaults to Close). 🔹 Style Bullish Color: The color used for the oscillator and fit line when the bullish fit is dominant. Bearish Color: The color used for the oscillator and fit line when the bearish fit is dominant. Fit Line Width: Controls the thickness of the polyline fit displayed on the chart. Fit Line Style: Sets the visual style (Solid, Dashed, or Dotted) of the regression fit line.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
1
Trend Pressure Prism [LuxAlgo]The Trend Pressure Prism indicator is a comprehensive trend-analysis tool that synthesizes momentum, market structure, and pullback quality into a single composite oscillator to identify high-conviction trading opportunities. 🔶 USAGE The indicator operates as a "prism," refracting price action through three distinct lenses to determine the total pressure behind a market move. Users can monitor the central ribbon to gauge trend strength and the "Agreement" metric to identify how unified the underlying forces are. 🔹 Trend States & Conviction The oscillator fluctuates between -100 and 100. When the ribbon enters the "Extreme Zones" (above 80 or below -80), the background glows, signaling a period of high conviction. Bullish Conviction: High positive pressure with unified agreement among the three pillars. Bearish Conviction: High negative pressure with unified agreement among the three pillars. Exhaustion: Occurs when the pressure score remains high but agreement drops below 50%, suggesting a potential reversal or thinning liquidity. 🔹 Filtered Crossover signals The indicator includes a Signal Line (EMA) that generates entry and exit cues. To ensure only high-quality opportunities are highlighted, signals are filtered by primary conditions: Relative Volume (RVOL): Ensures the move is backed by institutional participation. Agreement Filter: Requires a minimum level of harmony between momentum and structure. Dynamic Sizing: Signals are plotted as circles on the ribbon. Their size and opacity scale based on volume—larger, solid circles represent high-volume breakouts, while smaller circles indicate standard filtered moves. 🔶 DETAILS The script is built upon three core components that form the Composite Pressure Score: Momentum Drive: Measures the aggression of price movement using a normalized Rate of Change. Structural Alignment: Analyzes price position relative to fast and slow EMAs to ensure the trend has structural support. Pullback Quality: Evaluates the health of retracements by analyzing where price sits within its recent range. The Agreement metric calculates the mathematical harmony between these three components. High agreement suggests a "perfect storm" where all three factors point in the same direction, increasing the probability of a sustained move. 🔹 Dashboard Information The on-screen dashboard provides a real-time summary of the market's technical state: Current State: Identifies the market regime, such as "Bullish/Bearish Conviction," "Exhaustion" (divergent forces), or "Glass / Neutral" (low-conviction environments). Action: Provides a suggested context based on the prism's logic. This includes "Bullish/Bearish Cross" for potential entries, "Hold" for trending environments with high agreement, and "Wait" for low-conviction periods. Pressure Score: The numerical value of the composite oscillator (-100 to 100). Agreement: A percentage representing how unified the three internal forces are. Higher percentages indicate stronger confluence. 🔶 SETTINGS 🔹 Calculation Settings Lookback Period: Determines the window used for momentum, structure, and range calculations. Prism Sensitivity: Controls how reactive the normalized scores are to price changes. Min Signal RVOL: The volume threshold required to trigger a signal circle (e.g., 1.2 requires 20% above average volume). Min Signal Agreement: The required harmony between the 3 pillars (0.0 to 1.0) for a signal to appear. 🔹 Visual Settings Prism Opacity: Adjusts the transparency of the central ribbon and conviction glows. Enable Dashboard: Toggles the on-screen information panel. Position/Size: Controls the placement and scale of the dashboard UI.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
3
Normalized Resonator [LuxAlgo]The Normalized Resonator indicator provides a specialized bandpass oscillator designed to isolate specific market cycles while maintaining a normalized scale for overbought and oversold analysis. 🔶 USAGE The indicator can be used to identify cyclical turns in the market by isolating a specific frequency (period) and filtering out noise. Traders can use the oscillator to spot potential reversals when the price reaches extreme levels or when the main line crosses its signal line. 🔹 Trend Identification Beyond reversal signals, the oscillator serves as a momentum and trend filter. When the oscillator is sustained above the zero line, it indicates a bullish cycle where the isolated frequency is currently in an upward phase. Conversely, values below zero indicate a bearish cycle. The distance from the zero line represents the strength of the cycle relative to its recent historical peaks. 🔹 Filtering and Momentum The "Bandwidth" setting is crucial for practical application. A lower bandwidth (e.g., 0.1 - 0.3) creates a sharper filter that is highly selective of the central period, which is useful for identifying very specific recurring cycles but may increase lag. A wider bandwidth (e.g., 0.5 - 0.8) allows more price movement through, making the oscillator more reactive to momentum shifts and broader market swings. 🔹 Trading Signals The script features built-in signals that appear on the main chart to highlight potential exhaustion points: Bullish Reversal: Indicated by a green "▲" label below the price. This occurs when the oscillator crosses above the signal line while below the oversold threshold. Bearish Reversal: Indicated by a red "▼" label above the price. This occurs when the oscillator crosses below the signal line while above the overbought threshold. 🔹 Combining with Price Action For the best results, traders should look for confluence between the resonator signals and price action structures. For example, a bullish crossover occurring at a major horizontal support level or a trendline adds significant weight to the signal. In trending markets, the resonator can be used to "buy the dip" by looking for bullish signals that occur when the higher-timeframe trend is up, rather than attempting to catch every reversal in both directions. 🔶 DETAILS The script is built upon a digital resonator filter, which is a type of second-order bandpass filter. Unlike standard oscillators that use moving average differences, a resonator is mathematically tuned to "vibrate" at a specific frequency (the Center Period). 🔹 Normalization Standard bandpass filters often have varying amplitudes depending on market volatility, which makes static levels difficult to use. This script solves this by implementing a normalization process. It calculates the highest absolute peak of the filter output over a rolling lookback period. By dividing the raw filter output by this peak, the oscillator is squeezed into a range typically between -1 and +1, allowing for consistent Overbought (OB) and Oversold (OS) levels regardless of the asset's price scale or volatility. 🔶 SETTINGS Center Period: The primary cycle length (in bars) the filter aims to isolate. Bandwidth: Determines the width of the passband. Lower values result in a very sharp, selective filter. Higher values allow more frequencies to pass. Lookback Multiplier: Sets the normalization window as a multiple of the Center Period. A value of 1.0 means the peak is searched for over a window equal to the Center Period. Signal Line Period: The smoothing length for the Signal Line (EMA). Overbought/Oversold: The threshold levels used to trigger the chart signals. Signal Size: Adjusts the visual size of the "▲" and "▼" labels on the chart.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
13
Harmonic Resonance Oscillator [LuxAlgo]The Harmonic Resonance Oscillator indicator provides a specialized oscillator that decomposes price action into multiple harmonic cycles to identify confluence in market rotations. By isolating short, medium, and long-term frequencies, the tool aims to pinpoint exhausted price movements and potential reversal zones through the concept of cyclic resonance. 🔶 USAGE The Harmonic Resonance Oscillator can be used to identify market turning points by observing when the aggregate cycle resonance reaches extreme levels. Unlike standard oscillators that rely on a single lookback period, this tool aggregates multiple filtered cycles to provide a more robust view of market momentum and exhaustion. When the oscillator enters the dynamic overbought (upper) or oversold (lower) zones, it indicates that the various price cycles are aligning at an extreme, often preceding a corrective move or a trend reversal. 🔹 Harmonic Multipliers The script uses a Reference Period combined with three multipliers to define the cycles: The Short Multiplier captures fast, intraday-style fluctuations. The Medium Multiplier focuses on the primary trend rhythm. The Long Multiplier tracks broader market cycles. When all three cycles reach peak or trough levels simultaneously, the oscillator displays a "resonance" peak, which is highlighted by background coloring if the signal exceeds the dynamic thresholds. 🔶 DETAILS The indicator is built upon three primary technical pillars: 🔹 Ehlers' Bandpass Filter At its core, the indicator uses John Ehlers' Cycle decomposition method. The bandpass filter is designed to pass only price components within a specific frequency range while attenuating everything else. This allows the script to "tune in" to specific market rhythms without the lag typically associated with moving averages. 🔹 Normalization & Resonance Each isolated cycle is normalized onto a scale of 0 to 100 using a specific lookback length. The final "Harmonic Resonance" signal is the arithmetic mean of these three normalized cycles. A value of 50 represents a neutral state, while values approaching 0 or 100 represent extreme harmonic alignment. 🔹 Dynamic Volatility-Adjusted Zones The Overbought and Oversold thresholds are not static. They adjust dynamically based on the standard deviation of the resonance signal. During periods of high cyclic volatility, the bands expand to require stronger confluence for a signal; during low volatility, the bands contract to stay sensitive to smaller market rotations. 🔶 SETTINGS 🔹 Harmonic Settings Reference Period: The base period used to calculate the harmonic cycles. Short Multiplier: Multiplier applied to the reference period for the short-term cycle. Medium Multiplier: Multiplier applied to the reference period for the medium-term cycle. Long Multiplier: Multiplier applied to the reference period for the long-term cycle. Bandwidth: Controls the "tightness" of the bandpass filter. Lower values isolate specific cycles more precisely. 🔹 Normalization Settings Normalization Lookback: The window used to scale the cycles and calculate the volatility of the resonance signal. 🔹 Overbought / Oversold Control Overbought Threshold: The base level for the upper dynamic zone (default 80). Oversold Threshold: The base level for the lower dynamic zone (default 20). 🔹 Style Bullish Color: Color of the oscillator when above the 50 midpoint. Bearish Color: Color of the oscillator when below the 50 midpoint. Overbought Color: Color of the upper dynamic threshold. Oversold Color: Color of the lower dynamic threshold. Show Background Highlighting: Toggles the background coloring when resonance reaches extreme levels.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
3
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
אינדיקטור Pine Script®
מאת ‎nabil007‎
MTF RSI Confluence (3 TFs) + Table + AlertsThis indicator displays RSI confluence across three user-selectable timeframes in a single oscillator pane. It's designed to help you quickly confirm whether momentum conditions (overbought/oversold/neutral) align across multiple time horizons before acting. What it does - Plots three RSI lines at once, each sourced from a different timeframe (defaults: 5m / 15m / 1H ). - Applies independent overbought/oversold thresholds per timeframe , so each RSI can be evaluated with its own rules. - Shows a color-coded table summarizing: - timeframe - RSI value - status (OVERBOUGHT / NEUTRAL / OVERSOLD) - that timeframe's OB/OS levels - Highlights the pane background when there is full confluence: - All 3 overbought (red tint) - All 3 oversold (green tint) - Provides alert conditions when all three timeframes agree on overbought or oversold. How it works (key logic) - RSI is calculated per timeframe using request.security() with lookahead=barmerge.lookahead_off to avoid forward-looking values. - Each timeframe's RSI is classified: - RSI >= Overbought → Overbought - RSI <= Oversold → Oversold - otherwise → Neutral - Confluence triggers when all three statuses match (all overbought or all oversold). - Signals/alerts are gated by barstate.isconfirmed so the confluence events only trigger on confirmed bars (reduces repaint-like behavior on the current forming bar). How to use it 1. Add to chart (works on any symbol: crypto, forex, indices, stocks). 2. Configure: - RSI Length (1–200) - TF1 / TF2 / TF3 (any TradingView timeframe string) - OB/OS per timeframe with input constraints: - Overbought: 50–100 - Oversold: 0–50 - Optional: enable/disable the table and choose its position. 3. Interpret output: - RSI line colors reflect status (red = overbought, green = oversold, gray = neutral). - Table provides an at-a-glance confluence dashboard. - Use alerts for "all oversold" or "all overbought" as a filter for entries/exits or as a regime warning. Recommended usage - Works well on lower chart timeframes (1m–15m) to confirm setups with a higher timeframe (e.g., 1H / 4H). - Typical approach: - Look for all-oversold confluence during uptrends (potential pullback exhaustion). - Look for all-overbought confluence during downtrends (potential bounce exhaustion). - Consider pairing with trend context (moving averages, market structure) to avoid counter-trend signals. What makes it useful/original - Combines three MTF RSI readings + independent thresholds into one pane and a compact table, reducing chart clutter. - Uses non-forward-looking MTF data (lookahead_off) and confirmed-bar gating for more reliable confluence alerts. - Clear "traffic light" style status labeling to support fast discretionary decisions and alert-driven workflows. Disclaimer This script is for educational and informational purposes only and does not constitute financial advice. Alerts and signals are based on historical/hypothetical calculations and do not guarantee future results. Always manage risk and validate signals within your own trading plan.
אינדיקטור Pine Script®
מאת ‎bouch‎
Crypto PCA [LuxAlgo]The Crypto PCA indicator provides a sophisticated, multi-asset sentiment gauge by applying Principal Component Analysis (PCA) to a basket of the top 20 cryptocurrencies. By extracting the primary driver of variance across these assets, the tool offers a "market-wide" oscillator that filters out individual coin noise to highlight the dominant trend and sentiment shifts in the crypto space. In modern quantitative finance, PCA is used to reduce dimensionality and identify the underlying factors that move a group of assets. This indicator brings that institutional-grade approach to the retail trader, condensing the price action of Bitcoin, Ethereum, Solana, and 17 other majors into a single, actionable signal. 🔶 USAGE The script serves as a macro-sentiment oscillator, allowing traders to see the "hidden" force driving the crypto market. It is designed to identify when the market is moving in unison and when that collective movement has reached an extreme. 🔹 Identifying Market Regimes The primary use of the PCA line (PC1) is to determine the current market regime. When the oscillator is above the zero line and colored green, it indicates that the majority of the top 20 assets are experiencing positive variance, signaling a broad bullish regime. Conversely, when the line is below zero and colored red, the market is in a collective bearish state. Traders can use this to align their individual trades with the direction of the total market energy. 🔹 Using Snapshot Mode for Situational Analysis While the continuous mode is ideal for long-term trend following, the Snapshot Mode provides a focused view of market dynamics over the most recent lookback window. This mode isolates the current sentiment cycle, allowing traders to see the specific trajectory and "shape" of the latest move without the influence of older historical data. By enabling Snapshot Mode, you can analyze the immediate internal structure of the market. It is particularly useful for identifying whether a recent pump or dump is a coordinated market-wide event or a more fragmented move. This helps in distinguishing between a broad structural shift and a temporary volatility spike. 🔹 Spotting Overextended Sentiment The indicator includes dashed horizontal lines at +2 and -2, representing standard deviation thresholds. Because the assets are standardized before calculation, these levels mark statistical extremes. Overbought Extremes: When the PCA line exceeds +2, the broad market is significantly overextended to the upside. This often precedes a cooling-off period or a mean-reversion event across the entire sector. Oversold Extremes: When the PCA line drops below -2, it suggests a "panic" or exhausted selling state across the basket. This can signal potential bottoming interest or a relief rally. 🔹 Gauging Relative Strength The faint "ghost" lines in the background represent the individual standardized price paths of the 20 included assets. By comparing these to the main PCA line, traders can identify leaders and laggards. An asset line that stays consistently above the PCA line during a rally is exhibiting relative strength, while an asset trailing below the PCA line is underperforming the market average. 🔶 DETAILS The indicator follows a rigorous mathematical pipeline to ensure the data is statistically significant and comparable across assets with different price scales. 🔹 Standardization (Z-Scores) Before performing PCA, every asset must be on the same scale. The script converts the price of all 20 assets into Z-scores based on the user-defined Lookback Period. A Z-score tells us how many standard deviations a price is from its mean. This allows the movement of a high-priced asset like BTC to be mathematically compared to a lower-priced asset like PEPE. 🔹 The Basket & PCA Approximation The indicator includes the following assets: BTC, ETH, BNB, XRP, SOL, TRX, DOGE, ADA, BCH, WBTC, XLM, LTC, HBAR, LINK, AVAX, PEPE, DOT, UNI, NEAR, and ICP. The script uses a correlation-based approximation to find the First Principal Component. It calculates the correlation of each asset to the equally weighted basket and uses these correlations as "loadings" to compute the PC1. This ensures that assets moving in sync with the general market trend are given higher priority in the final oscillator value. 🔹 Why PCA? Most "Crypto Indices" are simply weighted averages. PCA is superior because it identifies the commonality between assets. If 18 coins are moving up and 2 are moving down, PCA gives more weight to the 18 moving together, as they represent the "Principal Component" of the market's current energy. 🔶 SETTINGS 🔹 Main Settings Lookback Period (N): Determines the window used for Z-score standardization and PCA calculation. A shorter period makes the indicator more reactive, while a longer period identifies macro-cycle shifts. Z-Score Smoothing: Applies a Simple Moving Average (SMA) to the standardized asset values before the PCA calculation. This effectively filters out high-frequency noise and produces a smoother principal component line, which is useful for reducing false regime shifts in volatile markets. Enable Snapshot Mode: Switches the visual output from a continuous rolling line to a static view of the PCA over the most recent lookback window. 🔹 Visual Settings Standardized Assets Color: Controls the color and transparency of the 20 individual asset lines. Bull/Bear Colors: Defines the colors used for positive and negative market sentiment. Disclaimer: This indicator is a statistical tool for sentiment analysis and does not constitute financial advice. The PCA approach measures variance and correlation, not guaranteed future direction.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
2
Std Dev Zones MTFStd Dev Zones MTF Key Features Overview • ⭐ Built using ADR10 (Average Daily Range) logic to measure volatility-based standard deviation zones from timeframe open. • ⚙️ ADR10 STD DEV Zones Pine v6 — MTF support for Daily, H4, H8, H12 timeframes for multi-timeframe volatility analysis. • 📦 Dynamic zones calculated from period open (Daily/H4/H8/H12) using average range = clean, objective volatility structure. • 📊 ±0.5 SD zones = neutral territory — price within normal range from open. • 📈 +0.75 SD & +1.0 SD = OVERBOUGHT zones — price extended above normal range, potential exhaustion or reversal area. • 📉 -0.75 SD & -1.0 SD = OVERSOLD zones — price extended below normal range, potential exhaustion or reversal area. • 🔥 +1.25 SD = MAX OVERBOUGHT — extreme extension above open, highest volatility threshold for exits/profit-taking. • 🧊 -1.25 SD = MAX OVERSOLD — extreme extension below open, highest volatility threshold for exits/profit-taking. • 🧠 Adjustable zone thickness (% of ADR10) so zones scale with market volatility — perfect for Gold, Forex, Crypto swings. • 🎨 Color-coded zones with large labels inside each zone for instant visual clarity — no interpretation lag. • 🧭 Zones extend throughout the trading period so you can track price behavior relative to volatility bands. • 🟩🟪 Dual color system for upper/lower zones + descriptive labels - zero confusion on market extension. • 🧼 Clean overlay display: zones + open line = actionable, minimal, fast volatility assessment. • ⭐ Apply to your M15/M30/H1/H4 TradingView chart — your volatility roadmap for Gold, FX, Crypto, Indices. • 🚀 Use for exit planning & take-profit levels at overbought/oversold extremes — NOT for standalone entry signals. • 📦 Enable/Disable individual zone levels (±0.5, ±0.75, ±1.0, ±1.25) to customize your chart view. • 📦 Too cluttered? Adjust "Periods to Show" or increase zone thickness % from settings. • 🎯 How to use this? Monitor price behavior at overbought/oversold zones for potential reversals or continuations. Use Max Overbought/Oversold levels for aggressive profit-taking. Combine with your entry system for complete trade management. • ⚠️ IMPORTANT NOTICE: This indicator is designed to measure market volatility and identify potential exit/take-profit zones. It should NOT be used as a standalone signal for entering trades. Use it in conjunction with your trading strategy to assess overbought/oversold conditions and plan exits. NQ GBPUSD BTCUSD
אינדיקטור Pine Script®
מאת ‎ProjectSyndicate‎
1
RSI Exhaustion Gate (Visual Flip)An RSI-based indicator that highlights potential overbought and oversold exhaustion points with visual dots. Provides clear signals when RSI reaches extreme levels and flips, helping traders identify short-term reversal opportunities. Includes customizable colors, RSI levels, and alerts for both long and short exhaustion triggers. Detailed Description (for Publishing): RSI Exhaustion Gate (Visual Flip) is designed to help traders identify potential overbought and oversold exhaustion levels on any timeframe. Key Features: Plots RSI with standard overbought (70) and oversold (30) levels. Visually flipped exhaustion dots appear when RSI crosses into extreme zones and reverses, signaling potential trade entries. Customizable colors for overbought and oversold dots. Option to toggle visibility of RSI levels and dots. Alerts for both long and short exhaustion points, so you can set TradingView notifications. Works on any chart timeframe. This tool is intended as a visual guide for spotting RSI-based exhaustion signals and can be used in conjunction with your trading strategy for improved timing and clarity.
אינדיקטור Pine Script®
מאת ‎Nhmoore2010‎
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals. 🔶 Advanced Dual-Component Momentum Engine Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics. // Core Momentum Framework EMA_Fast = ta.ema(src, Fast_Length) EMA_Slow = ta.ema(src, Slow_Length) Trend = EMA_Fast - EMA_Slow // Volatility Regime Detection ATR_Short = ta.atr(ATR_Length) ATR_Long = ta.atr(ATR_Length * 2) Vol_Ratio = ATR_Short / ATR_Long Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1) // Pressure Component Pressure = (close - open) / (high - low) // Composite Momentum Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight) 🔶 Hyperbolic Tangent Normalization Framework Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion. // Tanh Clamping Logic tanh(x) => x_clamped = clamp(x, -5.0, 5.0) e = exp(2.0 * x_clamped) (e - 1.0) / (e + 1.0) Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale 🔶 Volatility Regime Weighting System Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure. 🔶 Multi-Tiered Band Architecture Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection. 🔶 Pulse Envelope Visualization Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity. 🔶 Signal Line Integration Framework Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts. 🔶 Histogram Divergence Display Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis. 🔶 Advanced Reversion Signal Logic Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions. 🔶 Comprehensive Alert Framework Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation. 🔶 Adaptive Bar Coloring System Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis. 🔶 Performance Optimization Architecture Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis. 🔶 Why Choose Tanh-Clamped Momentum Oscillator ? This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
אינדיקטור Pine Script®
מאת ‎AlphaExtract‎
Smart RSI Candles [DotGain]Smart RSI Candles – Description Smart RSI Candles is a minimalist yet powerful overlay indicator that visualizes RSI conditions directly on price candles. Instead of plotting a separate RSI oscillator, this tool colors the chart bars based on customizable RSI threshold levels, allowing traders to instantly identify overbought and oversold regimes within the price action itself. The indicator is built on the classic Wilder RSI and supports up to three upper (overbought) and three lower (oversold) levels. Each level can be individually enabled or disabled, making the indicator fully modular and adaptable to different trading styles and market conditions. Key Features RSI-based candle coloring (no separate panel required) Up to 6 customizable RSI levels Individual On/Off toggle for each level Extreme conditions highlighted in blue Works on any market and timeframe Clean, non-intrusive visual design Color Logic Overbought (Upper Levels) Level 1: Light green → mild overbought Level 2: Dark green → strong overbought Level 3: Blue → extreme overbought Oversold (Lower Levels) Level 1: Light red → mild oversold Level 2: Dark red → strong oversold Level 3: Blue → extreme oversold Neutral RSI values keep the original candle color. How to Use Use upper levels to identify potential exhaustion in bullish moves. Use lower levels to spot potential panic or capitulation zones. Combine with trend analysis, support/resistance, or volume for confirmations. Disable specific levels to create conservative or aggressive RSI regimes. Use Cases Mean reversion strategies Momentum exhaustion detection Visual risk regime mapping Multi-timeframe RSI context Smart RSI Candles is designed for traders who want RSI information integrated directly into price, without clutter — fast, intuitive, and highly customizable. Have fun :) Disclaimer This Smart RSI Candles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a Relative Strength Index (RSI) based visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, or trademarked methodologies. The colored candles displayed by this indicator are generated by a predefined set of algorithmic conditions based on RSI threshold levels. They do not constitute a direct recommendation to buy or sell any financial instrument. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights potential overbought and oversold market conditions and may produce false, lagging, or misleading signals. Market conditions can change rapidly and remain irrational longer than expected. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides.You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate signals with additional tools or analysis, and consider your personal financial situation and risk tolerance before entering any trade.
אינדיקטור Pine Script®
מאת ‎DotGain‎
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants. 🔶 USAGE This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants. When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up. When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up. As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend. Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached. Due to the oscillator being normalized, overbought and oversold levels are included. In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step: 1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up. 2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging. 3. Uptrend: The same as before. Bullish above 80 and bearish below 20. 4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback. 5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging. 6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up. 7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback. 8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up. This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas. As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend. From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default. The chart shows how different values affect bullish and bearish measures. 🔶 SETTINGS Length: Select the maximum number of highs and lows to be used. 🔹 Style Bullish: Select a color for unreached lows. Bearish: Select a color for unreached highs. Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color. Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
אינדיקטור Pine Script®
מאת ‎LuxAlgo‎
5
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds Overview Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics. Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition. This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns. Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds. Conceptual Framework Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels. Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution. Three core principles guide the design: Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels. Regime detection must adapt to current market volatility and momentum characteristics. Divergence patterns reveal momentum exhaustion before price reversal becomes visible. This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries. Theoretical Foundation The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection. A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis. Five internal systems operate in tandem: Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA). Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth. Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution. Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals. Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering. This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds. How It Works Adaptive RSI evaluates momentum through a sequence of self-calibrating processes: Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation. RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period. Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection. Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter. Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values. Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach. Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters. Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences. Together, these elements form a continuously updating momentum framework anchored in statistical context. Interpretation Adaptive RSI should be interpreted as context-aware momentum boundaries: Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation. Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation. Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions. Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation. Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral. Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum. Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification. Reversal Markers (✦): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state. Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings. Signal Logic & Visual Cues Adaptive RSI presents four primary interaction signals: Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation. Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation. Regular Bullish Divergence (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation. Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction. Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring. Strategy Integration Adaptive RSI fits within momentum-informed and mean-reversion trading approaches: Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context. Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups. Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation. Extreme Zone Confluence : Combine reversal markers (✦) with divergence signals for maximum-conviction exhaustion entries. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction. Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response. Technical Implementation Details Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA) Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer Threshold Construction : Linear interpolation percentile extraction from sorted distribution array Regime Detection : State-persistent threshold crossing logic with confirmed bar validation Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals 15 - 60 min : Intraday regime identification with divergence-validated turning points 4H - Daily : Swing and position-level momentum analysis with macro divergence context Suggested Baseline Configuration: RSI Length : 18 Source : Close Smooth Oscillator : Enabled Smoothing Length : 20 Smoothing Type : SMA Adaptive Lookback : 1000 Upper Percentile : 50 Lower Percentile : 45 Divergence Pivot Left : 15 Divergence Pivot Right : 15 Min Pivot Distance : 5 Max Pivot Distance : 60 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise. Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response. Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing. Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars). Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections. Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings. Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation. Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with mean-reverting characteristics and consistent momentum cycles Instruments where momentum extremes reliably precede reversals or consolidations Ranging environments where percentile-based thresholds adapt to volatility contraction Divergence-driven strategies targeting momentum exhaustion before price confirmation Reduced Effectiveness: Extremely strong trending markets where oscillator remains persistently extreme Low-liquidity environments with erratic momentum readings News-driven or gapped markets where momentum disconnects from price temporarily Markets with regime shifts faster than adaptive lookback can recalibrate Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction Disclaimer Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
אינדיקטור Pine Script®
מאת ‎BOSWaves‎
1
Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) [DotGain]Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) This indicator combines three proven market stress and mean-reversion components to identify potential buy and sell opportunities during extended market conditions. ──────────────────── 📌 Included Components 1️⃣ Volatility-Based Stress Filter (Vix Fix) Detects short-term market panic using relative price movement. Signals are generated only during periods of elevated volatility or market stress. 2️⃣ Moving Average Deviation (MA Deviation) Identifies overbought and oversold conditions based on the percentage deviation from a selected moving average. Supported MA types: • EMA • SMA • RMA • VWMA • WMA • TEMA 3️⃣ TRMAD (True Range Mean Absolute Deviation) Measures the distance of price from its mean relative to current volatility. Useful for filtering extreme price moves and reducing false signals. ──────────────────── 📈 Trading Signals Buy Signal: • Elevated market volatility • Price significantly below the moving average • TRMAD below the defined threshold Sell Signal: • Elevated market volatility • Price significantly above the moving average • TRMAD above the defined threshold Signals are visualized directly on the chart: • Buy: green label below the candle • Sell: red label above the candle ──────────────────── ⚙️ Settings & Customization All components are fully adjustable: • Lookback periods • Moving average types and lengths • Volatility and threshold levels This makes the indicator suitable for: • Intraday trading • Swing trading • Crypto, Forex, indices, and equities ──────────────────── Disclaimer This "Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)" (DipSig) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
אינדיקטור Pine Script®
מאת ‎DotGain‎
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation . It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal. --- Core Concept 1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter 2. Keep the setup active for a limited number of candles 3. Trigger the entry using a MACD bullish crossover 4. Reset after entry to avoid multiple signals from the same setup --- Buy Signal Logic A buy signal is generated when the following conditions are met: 1. Oversold Setup (filters can be enabled/disabled individually) • Bollinger Bands %b Oversold (Lookback-based) The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles. • RSI Oversold (Lookback-based) The RSI has dropped below 30 at least once within the last `lookbackRSI` candles. • DSS (Double Smoothed Stochastic) Reversal Filter A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions. Note: BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event . --- 2. MACD Confirmation (Entry Timing) After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles). If the MACD confirmation occurs within this window, a buy signal is printed. If the window expires without confirmation, the setup is discarded automatically. --- Reset Logic • After a buy signal, the setup is reset immediately • Only one signal is allowed per setup • No late entries after the time window expires --- Inputs & Customization • Enable or disable BB, RSI and DSS filters individually • Adjust lookback periods to control how recent oversold conditions must be • Tune the MACD confirmation window to balance early vs. conservative entries Smaller windows = faster, more aggressive entries Larger windows = fewer but more confirmed signals Recommended Markets & Timeframes • Cryptocurrencies, Forex, Indices, liquid stocks • Best suited for 1m – 15m scalping • Also usable on 15m – 1h for slower mean-reversion trades Visuals • Buy signals are displayed as labels below the price candles Important Notes • This indicator is a signal and timing tool , not a complete trading system • Always combine with higher-timeframe trend, support/resistance or volume analysis • Backtesting and paper trading are strongly recommended Disclaimer: This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals. All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent. The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
אינדיקטור Pine Script®
מאת ‎DotGain‎
2
End Of MooveINDICATOR: END OF MOOVE (EOM) 1. Overview The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history. --- 2. Core Logic & Calculation The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts. * Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections. * Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ). * Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events. --- 3. Adaptive Intelligence (Detection & Smoothing) The EOM adapts to different market conditions through its detection engine: 1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window. 2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes. --- 4. Visual Anatomy The interface uses a high-contrast design to highlight institutional exhaustion: * The Histogram: * Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure. * Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone. * The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line." * Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed. --- 5. How to Trade with EndOfMoove * Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended. * Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up. * Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity. --- 6. Technical Parameters * WVF Period: Controls the sensitivity of the raw volatility calculation. * Historical Max Period: Determines the depth of the statistical database (50 to 500 bars). * Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
אינדיקטור Pine Script®
מאת ‎AlchimistOfCrypto‎
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities. Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features: Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands 🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum). 🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal). Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history) Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
אינדיקטור Pine Script®
מאת ‎CryptoPl3be‎
SCOTTGO - RSI Divergence IndicatorRSI Divergence Indicator This indicator combines the Relative Strength Index (RSI) with an automatic divergence detection system. It is designed to help traders spot potential trend changes by: Color-Coded RSI: The main RSI line dynamically changes color (e.g., green/red) above and below a user-defined threshold (default 50) to highlight strong or weak momentum instantly. Divergence Signals: It automatically identifies and plots four types of RSI divergences (Regular Bullish, Hidden Bullish, Regular Bearish, and Hidden Bearish) between the price and the oscillator. Custom Alerts: Includes alerts for all divergence types so you can be notified when a new signal is found. This tool helps visualize momentum shifts and potential reversals in the market.
אינדיקטור Pine Script®
מאת ‎SCOTTGO‎
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels. The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement. Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation : High Potential : 78 to 85 & 22 to 15 Mid Potential : 70 to 78 & 30 to 22 Low Potential : 58 to 62 & 42 to 38 These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds. In summary, the logic behind the signals follows three principles : Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome. Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases. Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses. 🔵 How to Use This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement. 🟣 Trend continuation after entering the High Potential zone When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high. 🟣 Reversal or slowdown after exiting the High Potential zone If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause. 🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave. 🟣 Range structure and repetitive reactions inside the Mid Potential zone When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates. 🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10) Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation. 🔵 Settings RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart. Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum. Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones. 🔵 Conclusion Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate. Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
אינדיקטור Pine Script®
מאת ‎TFlab‎
11