Wave Collapse Simulation - Confirmation of New TrendThis Pine Script, titled "Wave Collapse Simulation - Confirmation of New Trend," is an advanced indicator designed to identify high-conviction trend changes. It operates on the principle of a "wave collapse," a metaphor for a moment when market uncertainty resolves into a new, confirmed direction. It identifies these moments by combining signals from market structure, trend-following moving averages, and a spike in volatility. The indicator plots its signals directly on the price chart
The core idea is that a stable trend (making higher highs and higher lows, or vice-versa) will eventually fail. This script pinpoints the exact moment this failure is confirmed by a significant price move that breaks key levels, signaling the start of a new trend.
Key Components
1. Multi-Length Pivot Analysis
Instead of relying on a single lookback period, the script analyzes market structure using up to ten different pivot lengths (e.g., 2, 3, 5, 7, 11...).
Structural Failure: It constantly monitors these pivots to see if the market fails to make a new higher high in an uptrend (higherHighsFailed) or a new lower low in a downtrend (lowerLowsFailed). A failure in this pattern is the first sign that the prevailing trend is weakening.
2. Trend Context and Volatility Trigger
The script uses two additional components to validate a potential trend change:
Long-Term Trend: Two slow-moving averages (999 and 3000 periods) are used to establish the dominant, long-term trend direction. A signal can only occur if it aligns with a break of this established trend.
Volatility Spike: It uses the Average True Range (ATR) to detect a sudden, powerful price movement. A "collapse" is only considered valid if the price moves more than a specified multiple of the ATR, ensuring the signal is backed by significant market force and not just noise.
3. The "Collapse" Event
This is the central logic of the indicator. A bullish or bearish collapse is a high-probability signal triggered only when three specific conditions are met simultaneously:
Bullish Collapse (New Uptrend):
Structure: The market has failed to make new lower lows.
Trend Break: The price breaks above the short-term moving average during a long-term downtrend.
Volatility: The move is accompanied by a significant volatility spike.
Bearish Collapse (New Downtrend):
Structure: The market has failed to make new higher highs.
Trend Break: The price breaks below the short-term moving average during a long-term uptrend.
Volatility: The move is accompanied by a significant volatility spike.
4. Gaussian Probability Simulation
The script includes a Gaussian (normal distribution) function to model market certainty.
Sigma (σ): This variable represents the standard deviation, or "uncertainty." After a collapse event, sigma is reset to a very small value, representing a moment of high certainty about the new trend.
Decay: If no new collapse occurs, sigma gradually increases with each bar, representing the return of uncertainty to the market. While the script calculates the probabilities for a price distribution (the "wave"), its primary function is to use the state of sigma to define the collapse event itself, rather than plotting a visual wave.
How It Appears on the Chart
Moving Averages: The long-term maShort (blue) and maLong (orange) are plotted to show the underlying trend context.
Collapse Signals:
A green triangle is plotted below the price bar to signal a Bullish Collapse.
A red triangle is plotted above the price bar to signal a Bearish Collapse.
Collapse Price: A horizontal red line appears at the price where the collapse was triggered, serving as a key reference level for the new trend.
Penunjuk dan strategi
2EZ-Silence🕊️ 2EZ-Silence — Candle Pattern & Swing Reversal Detection
The 2EZ-Silence is a minimalist, pattern-based price action indicator focused on identifying key swing points and candlestick reversal patterns with surgical precision. Ideal for traders who rely on clean charts and strong signals rather than constant noise.
🔍 Core Features:
Pivot-Based Swing Detection
Uses configurable pivot logic to mark swing highs and lows
Candle Pattern Recognition
Identifies a wide range of key reversal candlestick formations:
Hammer / Inverted Hammer
Hanging Man / Shooting Star
Bullish & Bearish Engulfing
Morning / Evening Stars
Doji, Spinning Top, Marubozu
Three White Soldiers / Three Black Crows
Smart Labeling System
Marks high-probability reversal zones with ▲ and ▼ entries based on pattern + swing confluence
🎛️ Customizable Inputs:
Pivot Length sensitivity
Label colors for swing highs and lows
2ez MACD Scalper With TP&SL⚡ 2EZ MACD Scalper With TP & SL
The 2EZ MACD Scalper is a fast-execution intraday tool designed for traders who thrive on precision momentum shifts. Built around the core MACD histogram reversal logic, this script adds smart price structure filters, volatility-based TP/SL, and clean trade labeling—perfect for quick scalps on low timeframes.
📈 Core Features:
MACD Histogram Flip Entries
Detects key momentum shifts early for fast reaction scalps
Bullish/Bearish Structure Validation
Confirms valid market structure before triggering entries
Built-in TP/SL Logic
Uses ATR-based multipliers for dynamic risk control
Spacing Control
Avoids overtrading with customizable signal delay
Auto-Labeled Signals
Clean ▲ENTRY and TP/SL markers on chart for clarity
🔧 Customizable Inputs:
MACD (Fast/Slow/Signal)
ATR Length and Multipliers
Signal Spacing (Bars between signals)
Toggleable MACD Histogram display
2EZ Omega Indicator V3🧠 2EZ Omega Indicator V3
The 2EZ Omega V3 is a high-precision, multi-layered confluence system designed to generate elite-level BUY and SELL signals for trend traders and scalpers. Built from the ground up with advanced filtering and market condition detection, this version integrates dynamic market structure with smart volatility-based TP/SL plotting.
🔍 Core Signal Engine Includes:
WaveTrend Oscillator crossovers for momentum shifts
MACD Histogram Reversals to catch early trend moves
Kalman Filter for real-time directional smoothing
Heikin Ashi Supertrend logic to filter chop
RSI + Volume Spike Confluence for added entry strength
🎯 Smart Signal Logic:
A weighted score system evaluates all conditions to issue a signal only when at least 3 bullish or bearish conditions align, avoiding noise and increasing win consistency.
💹 Risk Tools Included:
Auto-calculated TP/SL levels using ATR-based volatility
Real-time position tracking with visual label alerts
Integrated alert system for Long & Short signals
Institutional Sessions Overlay (Asia/London/NY)Institutional Sessions Overlay is a professional TradingView indicator that visually highlights the main trading sessions (Asia, London, and New York) directly on your chart.
Customizable: Easily adjust session start and end times (including minutes) for each market.
Timezone Alignment: Shift session boxes using the timezone offset parameter so sessions match your chart’s timezone exactly.
Clear Visuals: Colored boxes and optional labels display session opens and closes for fast institutional market structure reference.
Toggle Labels: Show or hide session open/close labels with a single click for a clean or detailed look.
Intuitive UI: User-friendly grouped settings for efficient configuration.
This tool is designed for day traders, institutional traders, and anyone who wants to instantly recognize global session timing and ranges for SMC, ICT, and other session-based strategies.
How to use:
Set your chart to your local timezone.
Use the "Session timezone offset" setting if session boxes do not match actual session opens on your chart.
Adjust the hours and minutes for each session as needed.
Enable or disable labels in the “Display” settings group.
Tip: Use the overlay to spot session highs and lows, volatility windows, and institutional liquidity sweeps.
2EZ-Deluxe⚙️ 2EZ-Deluxe
Precision Signal Engine | Refined Over Months of Development
2EZ-Deluxe is a next-generation confluence system crafted for traders who demand laser-accurate entries and dynamic trade management. Developed over months of continuous refinement, this advanced tool blends high-performance algorithms with adaptive market logic to deliver clean, decisive buy and sell signals—with clearly plotted take-profit and stop-loss targets.
What makes 2EZ-Deluxe truly elite is its layered synergy of high-level components:
🔹 Kalman Filter Direction – Smooth trend velocity estimator
🔸 Zero-Lag EMA (ZLEMA) – De-lagged trend detection for sharper responsiveness
🔹 Hull MA + Custom Gaussian Filter – Ultra-smooth directional logic
🔸 MACD Histogram Shifts – Early momentum shifts confirmed by volume
🔹 Heikin Ashi ATR Supertrend – Dynamic price structure tracking
🔸 ATR-based TP/SL plots – Auto-calculated targets based on current volatility
Each signal is filtered through a strict score-based system, ensuring only the most probable setups are triggered. Once alignment across all key filters is detected, a visual ENTRY label is shown, along with auto-drawn TP and SL lines—so you can act with confidence and clarity.
🛠️ Smart logic. Serious precision. Built for real-world trading.
2EZ-Deluxe is the evolution of signal systems—designed from the ground up with edge and efficiency in mind.
SMA+Volume Buy AlertsOverview
This lightweight indicator combines trend and momentum filters to pinpoint high-conviction, oversold entries on ETFs or stocks. It plots your choice of two SMAs (default 100- & 200-day) and a 20-day volume moving average, then only flags a “BUY” when price crosses below an SMA and daily volume exceeds its average.
Use it to capture institutional-strength reversals without alert noise, and receive a single, clear signal exactly when market participants step in.
Key Features
Dual SMA Trend Lines (100/200-day by default)
Volume Filter (20-day avg): only overshoots on above-average volume signal
One-Shot Buy Markers: triangles appear beneath the precise bar that crosses under your SMA on high volume
Alert Conditions: “Buy 100 SMA + High Vol” and “Buy 200 SMA + High Vol” ready for desktop, mobile, or webhooks
Show/Hide Toggle for your SMA lines
100% Pine v6, optimized for speed and compatibility
Inputs
Short SMA Length (default 100)
Long SMA Length (default 200)
Volume MA Length (default 20)
Show SMA Lines toggle
How to Use
Add to Chart: Copy & paste this script into TradingView’s Pine editor, then Save & Add to Chart.
Configure Inputs: Adjust SMA and volume-MA lengths to your trading style.
Create Alerts:
Open “Create Alert,” select the “SMA-VOL-BUY” indicator.
Choose “Buy 100 SMA + High Vol” or “Buy 200 SMA + High Vol.”
Set trigger to “Once Per Bar Close.”
Trade with Confidence: Only the most significant, high-volume overshoots get flagged—no spam, just high-quality setups.
Best Practices
Frame Alignment: Combine daily signals with a weekly SMA trend filter for multi-timeframe confirmation.
Volume Context: Ensure that “high” volume truly represents above-average activity in your chosen security.
Risk Management: Use the signal bar’s low as your stop, and size positions to match your risk tolerance.
Review & Iterate: Tweak SMA or volume lengths to suit fast-moving sectors (e.g. 50/100 SMAs) or slower large-caps.
SMA Undervalue Buy AlertsSMA Undervalue Buy Alerts
Free, open-source Pine v6 indicator for spotting undervalued ETF/stock entries
This simple yet powerful indicator plots two user-configurable Simple Moving Averages (default 100- and 200-day) on your chart and automatically marks any bar where price closes below those SMAs with an on-chart “BUY” triangle. It’s ideal for ETF traders who want a systematic, price-action-based signal whenever a major trend filter is breached to the downside—often a sign of short-term overselling in an otherwise up-trending market.
Key Features
Dual SMA Lines (default 100/200): Smooth out noise and highlight medium- and long-term trend backdrops
Automatic Buy Markers: Triangles appear beneath any candle that closes under your chosen SMA, so you never miss an overshoot
Built-in Alert Conditions: Four alert hooks—“Buy 100 SMA” and “Buy 200 SMA”—let you receive desktop, mobile or webhook notifications the moment a close beneath your SMAs occurs
Show/Hide Toggle: Quickly turn the SMA lines on or off without removing the script
100% Pine v6: Fast, lightweight, and compatible with all TradingView chart types
How to Use
Add to Chart: Copy & paste the Pine v6 code into TradingView’s Pine editor, then Save & Add to Chart.
Configure Inputs: Adjust “Short SMA Length” and “Long SMA Length” to your preferred look-back periods (e.g. 50/200, 20/50, etc.).
Create Alerts: In the Create Alert dialog, choose your indicator, then select “Buy 100 SMA” or “Buy 200 SMA” under Series. Set it to “Once Per Bar Close” for reliable signals.
Trade Management: Use the buy markers as entry triggers or confirm with volume, RSI, or other confluence tools before committing.
Best Practices
Trend Confirmation: Combine with a higher-TF trend filter (e.g. 200 SMA on weekly) to stay aligned with the broader market
Volume Check: Look for above-average volume on overshoot candles to validate institutional interest
Risk Control: Always define your stop (e.g. below the low of the signal bar) and position-size responsibly
Slope Based Divergences Multi-Block (Dual Price)This Pine Script® indicator, titled "Slope Based Divergences Multi-Block (Dual Price)," is engineered to identify high-conviction trading signals by detecting divergences across multiple look-back lengths simultaneously. It uses a unique method of calculating momentum through average slopes rather than traditional price points, applying this logic to two different price sources and an oscillator for a comprehensive market view.
Core Concept: Average Slope Analysis
Instead of just looking at price or oscillator values, the indicator's foundation is built on measuring the rate-of-change, or slope, of the market. It goes a step further by calculating an average slope over a specified range of lengths. This provides a much more stable and robust measure of momentum compared to a single-length calculation, effectively smoothing out noise and focusing on the true underlying trend.
The Multi-Block System
The indicator's main strength comes from its "multi-block" design, which concurrently analyzes the market from three distinct perspectives:
Block 1 (Short-Term): Focuses on recent price action.
Block 2 (Mid-Term): Looks at the intermediate trend.
Block 3 (Long-Term): Analyzes the broader, underlying market structure.
For each of these blocks, the indicator calculates the average slope for two separate price sources (e.g., high and low) and one oscillator source (e.g., RSI, Stochastics).
Normalization and Thresholds
To make the slope values from different look back lengths comparable, the indicator converts each calculated average slope into a percentile rank. This rank, from 0 to 100, shows how extreme the current slope is compared to its historical values. Each of the three blocks has its own customizable high and low thresholds, allowing you to define precisely what constitutes a significant upward or downward momentum for that specific timeframe.
High-Confluence Divergence Signals
A divergence is flagged when there's a clear disagreement between the direction of price and the direction of the oscillator. For example, a bullish divergence occurs when the price sources are showing significant downward momentum (low percentile rank slopes) while the oscillator is showing significant upward momentum (high percentile rank slope).
The final signal is intentionally very selective. A "BULL" or "BEAR" signal is only generated when a rare moment of consensus occurs: all three blocks must detect a divergence simultaneously, and an additional short-term price movement must confirm this potential shift in momentum. This strict, multi-layered confirmation process is designed to filter out weak signals and highlight only the most promising opportunities.
The indicator plots clear labels on the chart and can trigger alerts, making it easy to spot these high-conviction setups when they occur
Machine Learning RSI with MatrixThe "Machine Learning RSI with Matrix," is an adaptive version of the traditional Relative Strength Index (RSI). It's designed to dynamically adjust to changing market conditions by learning from past price action. Instead of using a fixed calculation, it employs machine learning concepts to create a more responsive and nuanced momentum oscillator.
Core Concepts
At its heart, the indicator analyzes market characteristics like momentum and volatility over a long lookback period. It uses this information to:
Cluster Market Regimes: It categorizes the market's volatility into different states or "clusters." This allows the indicator to behave differently in calm, normal, or highly volatile environments.
Store Patterns: A unique "matrix" system stores recent RSI patterns corresponding to each volatility cluster. This creates a memory of what has happened before in similar market conditions, helping it anticipate future behavior.
Generate Probabilistic Signals: It runs thousands of Monte Carlo simulations on each bar. These simulations use weighted random probabilities based on current momentum and volatility to generate a forward-looking, probabilistic signal.
Dynamic and Adaptive Features
This isn't a static tool. Its key strength lies in its ability to adapt in real-time:
Self-Adjusting RSI Length: The indicator continuously compares its predicted RSI value to a more traditional RSI calculation. The "error" between these two is then used to dynamically adjust the RSI calculation length, making it shorter for faster response in volatile markets and longer for smoother signals in trending markets.
Adaptive Learning Rate: The speed at which the indicator adapts can be set to automatically adjust based on market volatility, allowing it to learn faster when the market is moving quickly.
Recursive Memory: The final output includes a "memory" component, which is a feedback loop from its own recent values. This helps create a smoother, more stable signal that is less prone to sudden spikes.
Final Output and Visualization
The final plotted value is a sophisticated blend of multiple elements: the adaptive RSI, the true RSI, the cluster average, and the memory average. This combined signal provides a comprehensive view of momentum.
Dynamic Thresholds: The overbought and oversold levels are not fixed at 70 and 30. They move up and down based on a Z-Score of the price, which measures how extreme the current price is relative to its recent history. This helps avoid premature signals in strong trends.
Pivot Tops & Bottoms (Enhanced Accuracy)User Inputs
pivotLen: how many bars to look back on each side when identifying a pivot.
showTops / showBottoms: toggles for drawing top- and bottom-markers.
useATRFilter & atrMult: whether to filter out tiny pivots by requiring their high-low range to exceed ATR×multiplier.
useRSIFilter, rsiLen, rsiOB, rsiOS: optional RSI filter that only permits tops when RSI≥overbought or bottoms when RSI≤oversold.
Raw Pivot Detection
ta.pivothigh(high, pivotLen, pivotLen) returns a true on the bar that confirms a local high (i.e. that bar’s high is higher than the preceding and following pivotLen bars).
ta.pivotlow(low, pivotLen, pivotLen) does the same for local lows.
ATR Filter
We compute ATR over the same lookback (ta.atr(pivotLen)).
We check that the pivot bar’s range (high – low ) is at least atr * atrMult.
If useATRFilter is off, this check is skipped.
RSI Filter
We compute RSI over rsiLen bars.
For a top, we require rsi ≥ rsiOB; for a bottom, rsi ≤ rsiOS.
If useRSIFilter is off, this check is skipped.
Combining Conditions
validTop = raw pivot-high AND (ATR filter passes OR disabled) AND (RSI filter passes OR disabled).
validBottom = raw pivot-low AND (ATR filter passes OR disabled) AND (RSI filter passes OR disabled).
Plotting in Real Time
We call plotshape() with no offset, so as soon as the pivot is confirmed (i.e. once enough future bars exist), the marker appears immediately on that bar.
Red triangles above bars mark tops; green triangles below mark bottoms.
The result is a cleaner pivot indicator: it still only “knows” about a pivot once the lookahead window is filled, but noise is reduced by the ATR and/or RSI filters, and you see your markers as soon as they’re confirmed.
Adaptive Trend & Whale Vol + POCAdaptive Trend & Whale Vol + POC — powerful multi-tool indicator combining adaptive trend, whale volume spikes, RSI divergences, and volume-based POC to enhance trade entries and exits with clear signals and alerts.
QEMO: Quantum Electromagnetic Oscillator (Safe Adjusted)This is a highly conceptual and oscillator and It attempts to model market dynamics by borrowing concepts from quantum physics and electromagnetism to create a unique oscillator. It does not represent any real physical phenomena but uses these concepts as metaphors for market forces.
Here is a breakdown of its core components:
1. Quantum Price Wavefunction (The Core Price Engine)
This is the most abstract part of the script. It tries to model price not as a single point, but as a "wavefunction" representing a distribution of probable future prices.
Volatility & Price Grid: It first calculates recent market volatility. Based on this volatility, it creates a dynamic grid of possible price levels (price_bins) around the current price.
Probability Density: It assigns a probability to each price level in the grid.
"Energy" Operators:
Kinetic Energy: Metaphorically represents the "momentum" or rate of change of the price probabilities.
Potential Energy: A force field that influences the probabilities, derived from a combination of volatility and trading volume.
Expected Price: After evolving these probabilities, it calculates a single "expected price" which is the weighted average of all prices in the grid, based on their final probabilities.
2. Electromagnetic Fields (Buying vs. Selling Pressure)
This section models the battle between buyers and sellers in a more familiar way:
E-Field (Electric/Buying): Represents buying pressure, calculated from upward price moves (close - open) multiplied by volume.
B-Field (Magnetic/Selling): Represents selling pressure, calculated from downward price moves (open - close) multiplied by volume.
Lorentz Force (F_net): This is the net force (E - B), representing the overall directional pressure in the market. A positive value means buyers are in control; a negative value means sellers are.
3. Entanglement Entropy (Systemic Risk/Stability)
This component aims to measure the market's stability or "systemic risk."
It calculates a form of auto-correlation on recent price returns.
A high degree of instability in this correlation results in a high "Entropy" (S) value.
Essentially, a high S suggests the market is chaotic and unpredictable (low stability), while a low S suggests it is more stable and trending.
4. Final QEMO Calculation & Plotting
All the components are combined to create the final oscillator value:
Final Value: The qemo value is a product of the expected_price, the amplified net force, and the market stability (1 - S).
Smoothing: This raw qemo value is then smoothed with an Adaptive Moving Average (AMA) to produce the final line that gets plotted on the chart.
Visualization:
The main oscillator line is plotted below the chart. Its color changes based on its value (e.g., blue for positive, red for negative).
The background color of the indicator pane changes based on the Entropy (S), providing an immediate visual cue of market stability (e.g., black for stable, white for chaotic).
The script also plots 99th and 1st percentile bands to help identify statistically extreme readings in the oscillator's value.
[Enhanced] L1 Banker Move🧠 L1 Banker Move
This is a multi-layered momentum signal tool designed to reveal institutional activity before major price moves. It combines deep liquidity detection, price pressure dynamics, and short-term investor alignment to deliver actionable signals with clarity and precision.
Key Features:
🔴 Institutional Signal
Detects potential Level 1 banker moves based on deep price compression and long-term sweep logic (Lowest Low 90 + smoothed momentum spikes).
🔵 Institutional Build Phase
Shows stealth accumulation/distribution zones using low volatility buildup and compression-based ratios over the past 30 bars.
🟢 Short-Term Investor Signal
Confirms price shifts with VWAP cross, SMA structure, and fast/slow EMA delta acceleration. Useful for timing precision entries after institutional setups.
💜 Combined Strength Histogram
A composite momentum bar that blends all three layers to visually rank the power of each setup.
🎯 Smart Highlighting & Alerts
Background turns red when an institutional signal appears without retail confirmation—flagging early entry traps or front-running zones. Includes alert conditions to notify you of optimal entry moments.
Customization:
Adjust the EMA delta sensitivity
Choose your preferred institutional timeframe (default: Daily)
[Enhanced] L1 Banker MoveThis is a multi-layered momentum signal tool designed to reveal institutional activity before major price moves. It combines deep liquidity detection, price pressure dynamics, and short-term investor alignment to deliver actionable signals with clarity and precision.
Key Features:
🔴 Institutional Signal
Detects potential Level 1 banker moves based on deep price compression and long-term sweep logic (Lowest Low 90 + smoothed momentum spikes).
🔵 Institutional Build Phase
Shows stealth accumulation/distribution zones using low volatility buildup and compression-based ratios over the past 30 bars.
🟢 Short-Term Investor Signal
Confirms price shifts with VWAP cross, SMA structure, and fast/slow EMA delta acceleration. Useful for timing precision entries after institutional setups.
💜 Combined Strength Histogram
A composite momentum bar that blends all three layers to visually rank the power of each setup.
🎯 Smart Highlighting & Alerts
Background turns red when an institutional signal appears without retail confirmation—flagging early entry traps or front-running zones. Includes alert conditions to notify you of optimal entry moments.
Customization:
Adjust the EMA delta sensitivity
Choose your preferred institutional timeframe (default: Daily)
Intradayscanner - RvolThis indicator delivers a session-precise Relative Volume (RVol) metric using an advanced, performance-optimized method that goes beyond standard volume-vs-average calculations:
Session-Aligned Cumulative Volume
Tracks intraday volume from each session’s true open using a rolling array of session start bar indices.
Prunes old sessions to maintain high performance even on long history (max_bars_back=5000).
Binary-Search History Lookup
Employs a binary-search algorithm to find the exact bar corresponding to each prior session’s close, accounting for weekends/holidays.
Ensures the N-day average is built from perfectly aligned session volumes rather than simple bar-counts.
Configurable Threshold & Coloring
Computes RVol = (today’s cumulative volume) ÷ (N-day average cumulative volume).
Highlights high-volume conditions when RVol exceeds a user-defined threshold (High Volume Threshold).
Optional line-coloring by price direction (up/down) for immediate visual context.
Background Shading for Volume Spikes
Applies semi-transparent colored backgrounds when RVol > 1 (and above the threshold), making significant volume surges unmissable.
Customizable Lookback & Precision
User inputs for N-day average length, threshold multiplier, and color-by-previous-close toggle.
Designed for up to 5000 bars of history without performance degradation.
Intradayscanner – Institutional Interest (vs. RSP)This indicator measures volatility-adjusted Relative Residual Strength (RRS) of any symbol versus RSP (the Invesco S&P 500® Equal Weight ETF) to surface potential institutional interest overlooked by cap-weighted benchmarks.
Equal-weighted benchmark: Uses RSP instead of SPY, so each S&P 500 component carries equal influence—highlighting broad institutional flows beyond the largest names.
ATR normalization: Computes a “Divergence Index” by dividing RSP’s price move by its ATR(14), then adjusts the symbol’s move by that index and rescales by its own ATR(14). This isolates true outperformance.
Residual focus: RRS represents the portion of a symbol’s move unexplained by broad-market action, making it easier to spot when institutions rotate into specific stocks.
Visualization: Plots RRS as green/red histogram bars and overlays a 14-period EMA for trend smoothing.
[Top] VWAP + RSI Divergence IndicatorThe “VWAP RSI Divergence Indicator” combines the Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), divergence detection, and volume confirmation to identify high-probability trading opportunities.
How It Works:
The indicator integrates three powerful methodologies:
1. Volume Weighted Average Price (VWAP):
VWAP calculates an average price weighted by volume, providing critical insights into the fair value of an asset within the trading session.
Includes standard deviation bands (+1/-1 and +2/-2) around the VWAP, offering key levels of support, resistance, and price extremities.
2. Relative Strength Index (RSI):
A momentum oscillator that measures the speed and change of recent price movements.
RSI levels define overbought and oversold conditions, offering traders insight into potential reversal zones.
3. Divergence Detection:
Identifies divergences between price action and RSI, signaling potential reversals or continuations.
Detects both Regular Divergences (signifying potential reversals) and Hidden Divergences (indicating possible continuation of current trends).
Core Features:
Real-Time Divergence Detection: Automatically detects and clearly labels Regular and Hidden Divergences with included tooltips to help you identify trading opportunities.
VWAP and Standard Deviation Bands: Visualizes important dynamic support/resistance levels on the chart.
RSI-Based Heat Map: Offers intuitive heat map coloring between standard deviation bands, colored dynamically according to RSI levels and divergence activity.
Optional Volume-Based Candle Coloring: Enhances visual insight by coloring candles according to volume relative to a moving average.
Customizable Alerts: Provides alerts for divergences and standard deviation band breaches, enabling traders to act swiftly.
What Makes It Unique:
Integrated Divergence and VWAP Analysis: Unlike typical divergence indicators, this tool uniquely combines RSI divergence signals with VWAP analysis, enhancing signal reliability by considering both price momentum and volume-weighted price dynamics.
Dynamic RSI Heat Map and Volume Coloring: Incorporates advanced visual customization through dynamic coloring based on RSI levels and divergences, as well as volume-based bar coloring, designed to allow you to understand detailed information at a glance.
How to Use:
Identify Divergences: Watch for divergence labels indicating potential reversals (Regular Divergence) or continuations (Hidden Divergence).
Monitor VWAP Bands: Use VWAP bands as dynamic support/resistance levels, particularly observing price reactions at +1/-1 and +2/-2 standard deviation extremes.
Volume Confirmation: Combine divergence signals with volume-colored bars to confirm strength or weakness behind potential moves.
Leverage Alerts: Enable customizable alerts to stay promptly informed about key divergences and price extremes, ensuring timely decision-making.
Quarterly Theory Levels - Period Basedquarterly theory levels for daily, weekly, market close, quarterly and yearly
Quarterly Theory Levels - Period BasedOpen, true open, market close for daily weekly, monthly, quarterly, yearly.
JXMJXRS - Mean Reversion Bands ToolThis indicator highlights when price is likely overextended and may revert back toward its average. It does this by plotting a central mean (EMA, SMA, or VWAP) with dynamic bands based on either standard deviation or ATR. These bands help show how far price has moved from normal levels.
When price moves beyond the outer bands, the background highlights in red or green to signal possible exhaustion. An optional setting allows the highlight to trigger only if the full candle body breaks beyond the band, helping reduce noise from small spikes or wicks.
The inner bands show more moderate overextensions, while the outer bands focus on stronger, less frequent moves. This makes the tool useful in both ranging and trending environments.
The indicator also includes a hidden oscillator that measures how far price is from the mean in standardized units. It stays off by default but can be enabled by advanced users if needed.
This tool works best on higher timeframes, such as the daily chart. It is not a buy or sell signal, but a way to add context and filter low-quality setups by focusing only on significant price extensions.
A red background appears when price closes significantly above the upper volatility band. This suggests that price is stretched far above its normal range and may be entering an overbought or exhausted state. A green background appears when price closes significantly below the lower volatility band, indicating a potential oversold condition. These zones highlight areas where a price reversion or slowdown may be more likely based on statistical extremes.
上涨动能This indicator calculates and visualizes the difference between the 20-period EMA and the 120-period EMA, helping traders identify medium-term momentum shifts in price action.
What It Does:
✅ Calculates the difference: Diff=EMA20 − EMA120
✅ Plots a line representing this difference for clear trend tracking.
✅ Plots a histogram (colored bars): Green bars indicate the EMA20 is above EMA120, suggesting bullish momentum. Red bars indicate the EMA20 is below EMA120, suggesting bearish momentum.
✅ Includes a zero baseline for easy reference: When the value crosses above zero, it indicates a potential bullish shift. When it crosses below zero, it indicates a potential bearish shift.
How to Use:
✅Use this indicator to visualize trend momentum in your crypto, forex, or stock trading.
✅Combine with your entry/exit signals (e.g., RSI, volume spikes, price action levels) to refine your strategy.
✅A rising Diff suggests strengthening bullish momentum, while a falling Diff suggests strengthening bearish momentum.
Why It’s Useful:
✅ Filters noise by using EMA smoothing on both short and long periods.
✅ Helps identify momentum shifts early without being overly sensitive to short-term volatility.
✅ Easy to integrate into trend-following or pullback strategies.
Multi-Timeframe Bands (Horizontal Table, Robust, No get_cols)Mulit-timeframe /Kelt Bands with Table Price tracker
This is a simple Kelt style Band indicator draws colored horizontal bands representing the high (top) and low (bottom) for each of the following timeframes:
4h: Blue (bottom), Red (top)
1D: Gold (bottom/top)
1W: Purple (bottom/top)
1M: Orange (bottom/top)
Quarterly: Light purple (bottom/top)
The script works on any chart timeframe, and the bands will update dynamically.
I've added a horizontal box to show the corresponding prices at the top.
