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
Indicatori e strategie
Trend Impulse Channels (Zeiierman)█ Overview
Trend Impulse Channels (Zeiierman) is a precision-engineered trend-following system that visualizes discrete trend progression using volatility-scaled step logic. It replaces traditional slope-based tracking with clearly defined “trend steps,” capturing directional momentum only when price action decisively confirms a shift through an ATR-based trigger.
This tool is ideal for traders who prefer structured, stair-step progression over fluid curves, and value the clarity of momentum-based bands that reveal breakout conviction, pullback retests, and consolidation zones. The channel width adapts automatically to market volatility, while the step logic filters out noise and false flips.
⚪ The Structural Assumption
This indicator is built on a core market structure observation:
After each strong trend impulse, the market typically enters a “cooling-off” phase as profit-taking occurs and counter-trend participants enter. This often results in a shallow pullback or stall, creating a slight negative slope in an uptrend (or a positive slope in a downtrend).
These “cooling-off” phases don’t reverse the trend — they signal temporary pressure before the next leg continues. By tracking trend steps discretely and filtering for this behavior, Trend Impulse Channels helps traders align with the rhythm of impulse → pause → impulse.
⚪ Step-Based Trend Engine
At the heart of this tool is a dynamic step engine that progresses only when price crosses a predefined ATR-scaled trigger level:
Trigger Threshold (× ATR) – Defines how far price must break beyond the current trend state to register a new trend step.
Step Size (Volatility-Guided) – Each trend continuation moves the trend line in discrete units, scaling with ATR and trend persistence.
Trend Direction State – Maintains a +1/-1 internal bias to support directional filters and step tracking.
⚪ Volatility-Adaptive Channel
Each step is wrapped inside a dynamic envelope scaled to current volatility:
Upper and Lower Bands – Derived from ATR and band multipliers to expand/contract as volatility changes.
⚪ Retest Signal System
Optional signal markers show when price re-tests the upper or lower band:
Upper Retest → Pullback into resistance during a bearish trend.
Lower Retest → Pullback into support during a bullish trend.
⚪ Trend Step Signals
Circular markers can be shown to mark each time the trend steps forward, making it easy to identify structurally significant moments of continuation within a larger trend.
█ How to Use
⚪ Trend Alignment
Use the Trend Line and Step Markers to visually confirm the direction of momentum. If multiple trend steps occur in sequence without reversal, this typically signals strong conviction and trend persistence.
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⚪ Retest-Based Entries
Wait for pullbacks into the channel and monitor for triangle retest signals. When used in confluence with trend direction, these offer high-quality continuation setups.
snapshot
⚪ Breakouts
Look for breakouts beyond the upper or lower band after a longer period of pause. For higher likelihood of success, look for breakouts in the direction of the trend.
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█ Settings
Trigger Threshold (× ATR) - Defines how far price must move to register a new trend step. Controls sensitivity to trend flips.
Max Step Size (× ATR) - Caps how far each trend step can extend. Prevents runaway step expansion in high volatility.
Band Multiplier (× ATR) - Expands the upper and lower channels. Controls how much breathing room the bands allow.
Trend Hold (bars) - Minimum number of bars the trend must remain active before allowing a flip. Helps reduce noise.
Filter by Trend - Restrict retest signals to those aligned with the current trend direction.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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.
Market Hours Highlight//@version=5
indicator("Market Hours Highlight", overlay=true)
// Set your time zone (adjust if needed)
tz = "America/Chicago"
// Define session time for regular market hours (CT)
startTime = timestamp(tz, year, month, dayofmonth, 8, 30)
endTime = timestamp(tz, year, month, dayofmonth, 15, 0)
// Check if current bar is during market hours
isMarketOpen = time >= startTime and time < endTime
// Highlight background only during market open hours
bgcolor(isMarketOpen ? color.new(color.green, 85) : na)
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.
🔵SFLD🧲Swings
FVG
Notes
Squeeze Change
Plots Swings
Plots Notes
Plots FVG
Plots a Yellow Dot when the Squeeze Momentum Histogram changes from high peak to lower peak and lower to high, this dot erases after a new candle comes out.
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.
EdgeXplorer - Profit Bottoms EdgeXplorer – Profit Bottoms
⸻
🔍 What This Indicator Does
Profit Bottoms is a custom momentum oscillator designed to reveal price strength inflections through correlation logic. It identifies potential market exhaustion zones, highlights overbought/oversold conditions, and visually marks swing tops and bottoms — helping traders pinpoint profit-taking opportunities or early reversals across any asset or timeframe.
It features a flexible histogram view, color-coded background trends, and precision labels for clearer insight into market sentiment momentum shifts.
⸻
⚙️ How It Works
At the core of this indicator is a correlation function:
• It measures how strongly the price (close) correlates with bar index progression over a lookback window — essentially evaluating how directional recent price action has been.
• This results in a “strength index” ranging between +1 (strong uptrend) and -1 (strong downtrend).
• It tracks the slope of this index to infer trend direction and visually represent shifts.
From there, the indicator layers on:
• Dynamic overbought/oversold zones (±0.9)
• Swing high/low detection based on local peaks and troughs
• Trend background shading based on momentum slope
• Optional histogram and fill display styles
⸻
📈 Visual Components Explained
Element Meaning
🔮 Pulse Strength Line (purple line) Primary oscillator showing strength of directional movement
🌈 Colored Fill Fills above/below baseline to represent bullish/bearish intensity
🟢 Green Background Slope of strength index is rising (trend gaining)
🔴 Red Background Slope of strength index is falling (trend weakening)
🔼 ↑ Label Price is entering extreme overbought territory
🔽 ↓ Label Price is entering extreme oversold territory
🟠 Circle Markers Swing Top (Teal) or Swing Bottom (Orange)
📊 Histogram / Line Style Alternate visualizations of the oscillator based on user preference
⸻
📊 Input Settings Explained
Setting Description
Window Size Lookback period for correlation calculation
Bull Fill / Bear Fill Gradient colors for up/down momentum
Mark Tops/Bottoms Enables visual detection of swing highs/lows
Highlight Overbought/Oversold Displays zone entry markers (↑/↓) near extremes
Show Pulse Histogram Adds either histogram or line view
Histogram Style Choose between histogram bars, a thin line, or hide the visual entirely
⸻
🧠 How to Interpret in Different Market Conditions
Condition Interpretation
Strength Index near +1 Strong upward correlation — trend likely maturing or overbought
Strength Index near -1 Strong downward correlation — trend possibly exhausted or oversold
Cross below 0 Momentum shift from bullish to bearish
Cross above 0 Momentum shift from bearish to bullish
Swing Top Detected Potential short-term exhaustion — profit zone for longs
Swing Bottom Detected Early reversal zone or buying opportunity
The colored background makes it easy to visually segment the chart by trend environment, while the swing markers and zone labels add precision entry/exit timing cues.
⸻
🧪 Use Cases & Strategy Tips
• Scalpers & intraday traders: Use swing tops/bottoms with zone labels for tight entries.
• Swing traders: Watch for strength fading as a warning sign to exit positions.
• Divergence Spotting: Compare price action to the oscillator for hidden signals.
• Momentum Riders: Use histogram mode with background coloring to stay in trend longer.
For example:
If you see a swing bottom occur just below the -0.9 zone, paired with a background color flip from red to green — that’s a high-probability setup for reversion or breakout.
⸻
🧷 Alerts Included
This indicator provides built-in alerts for key conditions:
• EPS+ Top Detected → Swing Top
• EPS+ Bottom Detected → Swing Bottom
• EPS+ Overbought Zone → Strength Index > 1
• EPS+ Oversold Zone → Strength Index < -1
These can be used in alert-based automation or simply for manual signal confirmation.
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.
EdgeXplorer - Sessions Roulette 🕰️ EdgeXplorer – Sessions Roulette
⸻
🔍 What This Indicator Does
Sessions Roulette is a highly customizable tool that visualizes the four primary global trading sessions — New York, London, Tokyo, and Sydney — directly on your chart.
It not only highlights each session’s time window with color-coded boxes, but also tracks key session-level data like:
• Highs and lows
• Average (mean) price
• (Optional) VWAP line (toggle included for future use)
This tool is purpose-built for traders who rely on time-based volatility patterns, session transitions, and liquidity windows.
⸻
⚙️ How It Works (Technical Breakdown in Plain English)
This indicator checks — for each trading session — whether the current bar falls within the defined session time range. If it does:
1. A colored box is drawn from session open to close
2. High/Low levels for that session are tracked dynamically
3. The session’s mean price is calculated incrementally as new bars come in
4. Session labels are rendered as text (optional)
5. Once the session ends, the data locks and resets on the next session start
The timezone can be defined manually via UTC offset or aligned with the chart’s exchange timezone using a toggle.
⸻
📈 Visual Components Explained
Each session (NY, LDN, TYO, SYD) has its own:
• Colored Box Range: This fills the background of the session with a semi-transparent box.
• Session Label: A tag that names the session.
• Mean Line: Tracks average price during the session (toggle).
• High/Low Plots: Draw horizontal lines showing session high and low prices (toggle).
• VWAP Line: Placeholder toggle exists — functionality is not yet implemented.
• Box Outline: Optional stroke around each session box.
⸻
📊 Input Settings & Customization
🔧 General Settings:
• Timezone Offset (UTC ±): Manually adjust sessions to your preferred UTC offset.
• Use Chart Exchange Timezone: Toggle to override the offset and align sessions to the chart’s market timezone.
🎯 Per-Session Settings:
For each of the four sessions, you can configure:
Option Description
Enable Session Toggles the session on or off
Session Label Custom text for labeling
Time Window Start and end time for session
Color Box and line color
Highlight Range Whether to draw the background box
Trend Line (Reserved for future)
Average Line Shows running mean of price during session
VWAP Line (Toggle available; VWAP logic not yet implemented)
High/Low Lines Horizontal lines at the session high/low
🧪 Display Options:
• Range Fill Opacity: Controls transparency of the session box.
• Draw Range Outline: Adds a border to the session box.
• Session Label: Toggles visibility of the session name label.
⸻
🧠 How Traders Can Interpret It
Session tools are most powerful when:
• You trade session-to-session behaviors (e.g., NY open reaction to LDN range)
• You study liquidity zones or order flow around session highs/lows
• You want to anchor technical setups to session timing
• You analyze volatility compression/expansion across global markets
Each session often brings different behaviors:
Session Use Insight
Tokyo Often range-bound, ideal for pre-positioning
London Brings first significant volatility
New York Tends to expand volatility or reverse trends
Sydney Quietest — good for range analysis or preparing for Asia open
⸻
🧪 Use Cases & Strategy Integration
• Breakout Traders: Set alerts when price breaks previous session highs/lows.
• Scalpers: Time entries based on opening ranges.
• Algo Developers: Use plotted session bounds as logic for entry/exit filters.
• Liquidity Tracking: Identify common sweep behavior before/after session shifts.
Moving Average 20/34/50/99/200/400/1400Multiple Daily moving average with multipple time scales 20 34 50 99 200 14001sd1112233 23
itradepro macd signalsvisit our website www.itradepro.academy and get free all signals , scanners , education .. all of them for free
[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)
Logarithmic Moving Average Convergence DivergenceLogarithmic Moving Average Convergence Divergence with crossing
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.
Children MACD次级别 MACD 指标,这个和标准的 MACD 指标一样
Secondary MACD indicator, which is the same as the standard MACD indicator
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
🔰XT Zone + Time + Key Level (Stock) Key Features:
Time-Based Zones & Lines
Pre-market (4:00 AM) to NY Open (9:30 AM) & NY Close (4:00 PM):
Plots vertical lines at key market hours (customizable colors/widths).
Highlights background zones (e.g., pre-market, NY lunchtime).
Higher Timeframe (HTF) Support
Toggleable 1H/4H levels (gray/orange dashed lines) to show key levels from higher timeframes.
VWAP (Volume-Weighted Average Price)
Anchored to sessions/weeks with standard deviation bands (hidden by default).
Moving Averages (New Additions)
EMA (Exponential) & SMA (Simple):
Customizable lengths, colors, and styles.
Toggle on/off independently.
Killzone Concept
Marks high/low ranges for specific sessions (Premarket - and Key news Zone).
Static/dynamic boxes show consolidation zones.