BK AK-Zenith💥 Introducing BK AK-ZENITH — Adaptive Rhythm RSI for Peak/Valley Warfare 💥
This is not another generic RSI. This is ZENITH: it measures where momentum is on the scale, then tells you when it’s hitting extremes, when it’s turning, and when price is lying through its teeth with divergence.
At its core, ZENITH does one thing ruthlessly well:
it matches the oscillator’s period to the market’s current rhythm—adaptive when the market is fast, adaptive when the market is slow—so your signals stop being “late because the settings were wrong.”
🎖 Full Credit — Respect the Origin (AlgoAlpha)
The core RSI architecture in this form belongs to AlgoAlpha—one of the best introducers and coders on TradingView. They originated this adaptive/Rhythm-RSI framework and the way it’s presented and engineered.
BK AK-ZENITH is my enhancement layer on top of AlgoAlpha’s foundation.
I kept the spine intact, and I added tactical systems: clearer Peak/Valley warfare logic, pivot governance (anti-spam), divergence strike markers, momentum flip confirmation, and a war-room readout—so it trades like a weapon, not a toy.
Respect where it started: AlgoAlpha built the engine. I tuned it for battlefield use.
🧠 What Exactly is BK AK-ZENITH?
BK AK-ZENITH is an Adaptive Period RSI (or fixed if you choose), designed to read momentum like a range of intent rather than a single overbought/oversold gimmick.
Core Systems Inside ZENITH
✅ Adaptive Period RSI (Rhythm Engine)
Automatically adjusts its internal RSI length to match current market cadence.
(Optional fixed length mode if you want static.)
✅ Optional HMA Smoothing
Cleaner shape without turning it into a laggy moving average.
✅ Peak / Valley Zones (default 80/20)
Hard boundaries that define “true extremes” so you stop treating every wiggle like a signal.
✅ Pivot-Based BUY/SELL Triangles + Cooldown
Signals are governed by pivots and a cooldown so it doesn’t machine-gun trash.
✅ Momentum Flip Diamonds (◇)
Shows when the oscillator’s slope flips—clean confirmation for “engine change.”
✅ Divergence Lightning (⚡)
Exposes when price is performing confidence while momentum is quietly breaking.
✅ War-Room Table / Meter
Bias, zone, reading, and adaptive period printed so you don’t “interpret”—you execute.
✅ Alerts Suite
Pivots, divergences, zone entries—so the chart calls you, not your emotions.
🎯 How to use it (execution rules)
1) Zones = permission
Valley (≤ Valley level): demand territory. Stalk reversal structure; stop chasing breakdown candles.
Peak (≥ Peak level): supply territory. Harvest, tighten, stop adding risk at the top.
2) Pivot triangles = the shot clock
Your ▲/▼ signals are pivot-confirmed with a cooldown. That’s intentional.
This is designed to force patience and prevent overtrading.
3) Divergence = truth serum
When price makes the “confident” high/high or low/low but ZENITH disagrees, you’re seeing internal change before the crowd does.
Treat divergence as warning + timing context, not a gambling button.
4) Meter/Table = discipline
If you can’t summarize the state in one glance, you’ll overtrade. ZENITH prints the state so your brain stops inventing stories.
🔧 Settings that actually matter
Adaptive Period ON (default): the whole point of ZENITH
Peak/Valley levels: how strict extremes must be
Pivot strength + Cooldown: your anti-spam governor
Divergence pivot length: controls how “major” divergence must be
The “AK” in the name is an acknowledgment of my mentor A.K. His standards—patience, precision, clarity, emotional control—are why this tool is built with governors instead of hype.
And above all: all praise to Gd—the true source of wisdom, restraint, and right timing.
👑 King Solomon Lens — ZENITH Discernment
Solomon asked Gd for something most people never ask for: not wealth, not victory—discernment. The ability to separate what looks true from what is true.
That is exactly what momentum work is supposed to do.
1) Honest weights, honest measures.
In Solomon’s world, crooked scales were an abomination because they disguised reality. In trading, the crooked scale is your own excitement: you see one green candle and call it strength. ZENITH forces an honest measure—0 to 100—so you deal in degree, not drama. A Peak is not “bullish.” A Peak is “momentum priced in.” A Valley is not “bearish.” A Valley is “selling pressure reaching exhaustion.”
2) Wisdom adapts to seasons.
Solomon’s order wasn’t chaos—there was a time to build, a time to harvest, a time to wait. Markets have seasons too: trend seasons, chop seasons, compression seasons, expansion seasons. Fixed-length RSI pretends every season is the same. ZENITH does not. It listens for rhythm and adjusts its internal timing so your read stays relevant to today’s market tempo—not last month’s.
3) The sword test: revealing what’s hidden.
Solomon’s most famous judgment wasn’t about theatrics—it was about revealing the truth beneath appearances. Divergence is that same test in markets: price can perform strength while the engine quietly weakens, or perform weakness while momentum secretly repairs. The ⚡ is not a prophecy. It’s a revelation: “what you see on price is not the full story.”
That’s ZENITH discipline: measure → discern → execute.
And may Gd bless your judgment to act only when the measure is clean.
⚔️ Final
BK AK-ZENITH is a momentum fire-control system: adaptive rhythm + extreme zones + pivot timing + divergence truth.
Use it to stop feeling trades and start weighing them. Praise to Gd always. 🙏
M-oscillator
Custom Reversal Oscillator [wjdtks255]📊 Indicator Overview: Custom Reversal Oscillator
This indicator is a momentum-based oscillator designed to identify potential trend reversals by analyzing price velocity and relative strength. It visualizes market exhaustion and recovery through a dynamic histogram and signal dots, similar to premium institutional tools.
Key Components
Dynamic Histogram (Bottom Bars): Changes color based on momentum strength. Bright Green/Red indicates accelerating momentum, while Darker shades suggest fading strength.
Signal Line: A white line tracing the core momentum, helping to visualize the "wave" of the market.
Buy/Sell Dots: Small circles at the bottom (Mint) or top (Red) that signal high-probability reversal points when the market is overextended.
📈 Trading Strategy (How to Trade)
1. Long Entry (Buy Signal)
Condition 1: The price should ideally be near or above the 200 EMA (for trend following) or showing a Bullish Divergence.
Condition 2: The Histogram bars transition from Dark Red to Bright Green.
Condition 3: A Mint Buy Dot appears at the bottom of the oscillator (near the -25 level).
Entry: Enter on the close of the candle where the Buy Dot is confirmed.
2. Short Entry (Sell Signal)
Condition 1: The price is struggling at resistance or showing a Bearish Divergence.
Condition 2: The Histogram bars transition from Dark Green to Bright Red.
Condition 3: A Red Sell Dot appears at the top of the oscillator (near the +25 level).
Entry: Enter on the close of the candle where the Sell Dot is confirmed.
3. Exit & Take Profit
Take Profit: Close the position when the Signal Line reaches the opposite extreme or when the histogram color starts to fade (loses its brightness).
Stop Loss: Place your stop loss slightly below the recent swing low (for Longs) or above the recent swing high (for Shorts).
💡 Pro Tips for Accuracy
Watch for Divergences: The most powerful signals occur when the price makes a lower low, but the Custom Reversal Oscillator makes a higher low. This indicates "Hidden Strength" and a massive reversal is often imminent.
Adaptive Z-Score Oscillator [QuantAlgo]🟢 Overview
The Adaptive Z-Score Oscillator transforms price action into statistical significance measurements by calculating how many standard deviations the current price deviates from its moving average baseline, then dynamically adjusting threshold levels based on historical distribution patterns. Unlike traditional oscillators that rely on fixed overbought/oversold levels, this indicator employs percentile-based adaptive thresholds that automatically calibrate to changing market volatility regimes and statistical characteristics. By offering both adaptive and fixed threshold modes alongside multiple moving average types and customizable smoothing, the indicator provides traders and investors with a robust framework for identifying extreme price deviations, mean reversion opportunities, and underlying trend conditions through the visualization of price behavior within a statistical distribution context.
🟢 How It Works
The indicator begins by establishing a dynamic baseline using a user-selected moving average type applied to closing prices over the specified length period, then calculates the standard deviation to measure price dispersion:
basis = ma(close, length, maType)
stdev = ta.stdev(close, length)
The core Z-Score calculation quantifies how many standard deviations the current price sits above or below the moving average basis, creating a normalized oscillator that facilitates cross-asset and cross-timeframe comparisons:
zScore = stdev != 0 ? (close - basis) / stdev : 0
smoothedZ = ma(zScore, smooth, maType)
The adaptive threshold mechanism employs percentile calculations over a historical lookback period to determine statistically significant extreme zones. Rather than using fixed levels like ±2.0, the indicator identifies where a specified percentage of historical Z-Score readings have fallen, automatically adjusting to market regime changes:
upperThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, upperPercentile) : fixedUpper
lowerThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, lowerPercentile) : fixedLower
The visualization architecture creates a four-tier coloring system that distinguishes between extreme conditions (beyond the adaptive thresholds) and moderate conditions (between the midpoint and threshold levels), providing visual gradation of statistical significance through opacity variations and immediate recognition of distribution extremes.
🟢 How to Use This Indicator
▶ Overbought and Oversold Identification:
The indicator identifies potential overbought conditions when the smoothed Z-Score crosses above the upper threshold, indicating that price has deviated to a statistically extreme level above its mean. Conversely, oversold conditions emerge when the Z-Score crosses below the lower threshold, signaling statistically significant downward deviation. In adaptive mode (default), these thresholds automatically adjust to the asset's historical behavior, i.e., during high volatility periods, the thresholds expand to accommodate wider price swings, while during low volatility regimes, they contract to capture smaller deviations as significant. This dynamic calibration reduce false signals that plague fixed-level oscillators when market character shifts between volatile and ranging conditions.
▶ Mean Reversion Trading Applications:
The Z-Score framework excels at identifying mean reversion opportunities by highlighting when price has stretched too far from its statistical equilibrium. When the oscillator reaches extreme bearish levels (below the lower threshold with deep red coloring), it suggests price has become statistically oversold and may snap back toward the mean, presenting potential long entry opportunities for mean reversion traders. Symmetrically, extreme bullish readings (above the upper threshold with bright green coloring) indicate potential short opportunities or long exit points as price becomes statistically overbought. The moderate zones (lighter colors between midpoint and threshold) serve as early warning areas where traders can prepare for potential reversals, while exits from extreme zones (crossing back inside the thresholds) often provide confirmation that mean reversion is underway.
▶ Trend and Distribution Analysis:
Beyond discrete overbought/oversold signals, the histogram's color pattern and shape reveal the underlying trend structure and distribution characteristics. Sustained periods where the Z-Score oscillates primarily in positive territory (green bars) indicate a bullish trend where price consistently trades above its moving average baseline, even if not reaching extreme levels. Conversely, predominant negative readings (red bars) suggest bearish trend conditions. The distribution shape itself provides insight into market behavior, e.g., a narrow, centered distribution clustering near zero indicates tight ranging conditions with price respecting the mean, while a wide distribution with frequent extreme readings reveals volatile trending or choppy conditions. Asymmetric distributions skewed heavily toward one side demonstrate persistent directional bias, whereas balanced distributions suggest equilibrium between bulls and bears.
▶ Built-in Alerts:
Seven alert conditions enable automated monitoring of statistical extremes and trend transitions. Enter Overbought and Enter Oversold alerts trigger when the Z-Score crosses into extreme zones, providing early warnings of potential reversal setups. Exit Overbought and Exit Oversold alerts signal when price begins reverting from extremes, offering confirmation that mean reversion has initiated. Zero Cross Up and Zero Cross Down alerts identify transitions through the neutral line, indicating shifts between above-mean and below-mean price action that can signal trend changes. The Extreme Zone Entry alert fires on any extreme threshold penetration regardless of direction, allowing unified monitoring of both overbought and oversold opportunities.
▶ Color Customization:
Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, ensuring optimal contrast and readability across trading platforms. The bar transparency control (0-90%) allows fine-tuning of visual prominence, with minimal transparency creating bold, attention-grabbing bars for primary analysis, while higher transparency values produce subtle background context when using the oscillator alongside other indicators. The extreme and moderate zone coloring system uses automatic opacity variation to create instant visual hierarchy, with darkest colors highlight the most statistically significant deviations demanding immediate attention, while lighter shades mark developing conditions that warrant monitoring but may not yet justify action. Optional candle coloring extends the Z-Score color scheme directly to the price candles on the main chart, enabling traders to instantly recognize statistical extremes and trend conditions without needing to reference the oscillator panel, creating a unified visual experience where both price action and statistical analysis share the same color language.
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways.
Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation.
█ WHAT IT DOES
• Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress
• Exposes Net Displacement (how far price actually moved)
• Exposes Path Length (total distance price traveled)
• Calculates Chop Cost (wasted movement)
• Visual zones for high/mid/low efficiency states
█ WHAT IT DOES NOT DO
• NO signals, NO entries/exits, NO buy/sell
• NO performance claims
• NO predictions — purely diagnostic
• This is a tool for understanding price behavior
█ HOW IT WORKS
The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?"
🔹 THE MATH
Over a lookback period of N bars:
Net Displacement = |Close - Close |
Path Length = Σ |Close - Close | for all bars
Efficiency Ratio = Net Displacement / Path Length
🔹 INTERPRETATION
• Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress
• Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop
• Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise
🔹 CHOP COST
This is the "wasted movement" — how much price traveled without making progress:
Chop Cost = Path Length - Net Displacement
Chop % = Chop Cost / Path Length
High chop cost means lots of effort for little result — a warning sign for trend traders.
█ VISUAL GUIDE
Three efficiency zones:
• GREEN (≥70): High efficiency — strong directional movement
• YELLOW (30-70): Mixed efficiency — some progress, some chop
• RED (<30): Low efficiency — mostly noise, little progress
█ INPUTS
Lookback Length (default: 14)
Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes.
Smoothing Length (default: 5)
EMA smoothing applied to the output. Reduces noise in the efficiency reading.
Apply Smoothing (default: true)
Toggle EMA smoothing on/off.
Scale Mode (default: 0–100)
Display as percentage (0-100) or decimal ratio (0-1).
Show Reference Bands (default: true)
Display the high/low efficiency threshold lines.
Low/High Efficiency Level (default: 30/70)
Thresholds for classifying efficiency zones.
Overlay Effect (default: None)
• None: No overlay
• Background Tint: Subtle chart background color in high/low zones
• Bar Highlight: Color bars during low efficiency periods
Show Data Window Values (default: true)
Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis.
█ USE CASES
This indicator helps traders understand:
• Why some trends are "clean" and others are "messy"
• When price is consolidating vs trending (without using volume)
• The relationship between movement and progress
• Why high-chop environments are difficult to trade
This is the foundational concept behind more advanced regime detection systems.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes
Note: This is a price-only indicator — no volume required
█ DISCLAIMER
This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
MTF rsi/stoch imdI just built this indicator.
It displays a multi-timeframe (MTF) table directly on the chart, showing Stoch RSI K and RSI values per timeframe.
Cell background colors are driven by predefined value ranges, while text color turns green or red depending on whether the value is rising or falling compared to the previous candle on the same timeframe.
The RSI color conditions are based on the levels 36, 46, 56, and 65.
The Timeframe Pack selector works as follows:
Pack 1 (BNC): 3m, 9m, 27m, 1h, 81m, 3h, 9h, 12h, 1D, 3D, 1W, 9D
Pack 2: 1h through 24h
Pack 3: 1D through 24D
Pack 4 (Custom): fully user-defined timeframes via the 24 slots
Only when Pack 4 (Custom) is selected do the custom timeframe slots apply; in Packs 1–3 they are ignored.
All visual behavior (box colors, text colors, transparency, or a single-color override) is configurable under Style, and the entire table can be toggled on or off.
Composite Index [Auto Signals]Composite Index
Description (描述正文):
Overview This is an enhanced version of the famous Composite Index (CI) developed by Connie Brown. While the traditional RSI is confined between 0 and 100, often masking true momentum in strong trends, the Composite Index is uncapped and incorporates a momentum component to reveal the market's true structural strength.
I have engineered this script to include Automated Signal Markers based on the crossover of the Composite Index and its Slow Moving Average. This helps traders instantly identify momentum shifts and "Timing" entries/exits without manual guesswork.
Key Features
Uncapped Momentum: Unlike RSI, the CI can go anywhere, preventing the "flattening" effect seen in strong trending markets (e.g., TSLA, NVDA).
Automated Signals:
▲ Green Triangle (Launch): Triggers when the Gray CI line crosses ABOVE the Red Slow MA. This indicates bearish momentum is exhausted and bulls are regaining control.
▼ Red Triangle (Warning): Triggers when the Gray CI line crosses BELOW the Red Slow MA. This indicates bullish momentum is failing, serving as an early warning for exits or tightening stops.
Classic Formula: Uses the standard Connie Brown parameters (14, 9, 3) + SMA smoothing for reliable divergence detection.
How to Use This Indicator This script is best used as a companion to trend indicators like TTM Squeeze or Moving Average Ribbons.
For Entries (The "Dip Buy"): In an uptrend, wait for a pullback. When the Green Triangle (▲) appears, it confirms that the pullback is over and momentum has turned back up.
For Exits (The "Top"): Look for Divergence. If Price makes a Higher High but the Composite Index makes a Lower High—followed by a Red Triangle (▼)—this is a high-probability sell signal.
The "Slow MA" Filter: The signals are generated only when the CI crosses the Slow MA (Red Line). This filters out the noise of minor fluctuations (crossing the Green line) and focuses on significant momentum changes.
Settings
RSI Period: 14 (Default)
Momentum Period: 9 (Default)
Signal Logic: Crossover/Crossunder of the Slow MA (33 Period).
Disclaimer This tool is for educational purposes only. Always combine momentum signals with price action and structure analysis.
AI Reversal Signals Custom [wjdtks255]📊 Indicator Overview: AI Reversal Signals Custom
This indicator is a comprehensive trend-following and reversal detection tool. It combines the long-term trend bias of a 200 EMA with highly sensitive RSI-based reversal signals and momentum visualization. It is designed to capture market bottoms and tops by identifying exhaustion points in price action.
Key Features
200 EMA (Trend Filter): A gold line representing the long-term institutional trend. It helps traders distinguish between "buying the dip" and "catching a falling knife."
Reversal Buy/Sell Labels: Real-time signals that appear when the market recovers from extreme overbought or oversold conditions.
Dynamic Background Clouds: Visual indicators of trend strength changes, highlighting potential entry zones.
Momentum Histogram: Internal calculations mimic the "Bottom Bars" seen in professional suites to track the velocity of price movement.
📈 Trading Strategy (How to Trade)
1. High-Probability Long Setup (Buy)
Trend Confirmation: Price should ideally be trading above the 200 EMA for the highest success rate.
Signal: Wait for the "BUY" label to appear below the candle.
Momentum: Confirm with the Light Green background or histogram shift indicating recovery.
Entry: Enter on the close of the signal candle.
2. High-Probability Short Setup (Sell)
Trend Confirmation: Price should ideally be trading below the 200 EMA.
Signal: Wait for the "SELL" label to appear above the candle.
Momentum: Confirm with the Red background or histogram fading from green to red.
Entry: Enter on the close of the signal candle.
3. Risk Management
Stop Loss: Place your Stop Loss slightly below the recent swing low for Buy orders, or above the recent swing high for Sell orders.
Take Profit: Exit when the price reaches a major support/resistance level or when an opposing signal appears.
💡 Professional Tip
For the best results, use this indicator on the 15-minute or 1-hour timeframes. The most powerful "Ultimate Reversal" signals occur when there is a Bullish Divergence (Price making lower lows while the RSI makes higher lows) followed by a confirmed "BUY" label.
Ichimoku Cloud Strategy - 1H HyperliquidStategy for Hyperliquid 1hr time frame using Ichimoku's Cloud.
MACD + Divergence Indicator [Dynamic Filter]Title: MACD + Divergence
Description: This is an enhanced momentum analysis suite based on the classic Moving Average Convergence Divergence (MACD). It addresses the common weakness of the standard MACD—false signals during low-volatility consolidation—by integrating a Dynamic Volatility Filter and a Multi-Timeframe (MTF) Dashboard.
The Problem It Solves: Standard MACD indicators often generate "whipsaw" crossovers when the market is ranging (moving sideways). Traders often struggle to identify these consolidation zones until it is too late. This script solves this by calculating a dynamic "Consolidation Zone" based on Standard Deviation, visually warning traders when momentum is too weak to be reliable.
Key Features:
1. Dynamic Consolidation Filter (The Grey Zone)
The script calculates Upper and Lower bands around the MACD line using Standard Deviation (Volatility).
Grey Fill: When the MACD line is inside the grey bands, the market is in a "Squeeze" or low-volatility consolidation. Crossovers in this zone are often lower probability.
Breakout: When the MACD line exits the bands, it indicates a volatility expansion and a potentially stronger trend.
2. Automated Divergence Detection
Automatically scans for both Regular (Reversal) and Hidden (Continuation) divergences between Price and Momentum.
Bullish: Marked with Green lines/labels.
Bearish: Marked with Red lines/labels.
Customization: You can choose to calculate divergence based on the MACD Line or the Histogram via settings.
3. Multi-Timeframe (MTF) Dashboard
A customizable information table (optional) displays the MACD state across 4 different timeframes (e.g., 15m, 1H, 4H, Daily).
It checks for Trend Alignment (e.g., are all timeframes Bullish?) to help you trade in the direction of the higher timeframes.
4. Enhanced Visuals
4-Color Histogram: Visualizes momentum growing (bright) vs. momentum fading (pale) for both bullish and bearish phases.
Line Highlights: The MACD and Signal lines are clearly distinct, with configurable smoothing options (EMA/SMA).
Settings Guide:
Consolidation Filter: Increase the Dynamic Filter Multiplier (Default: 0.5) to widen the grey zone if you want to filter out more noise.
Oscillator Source: Switch between "MACD Line" or "Histogram" for divergence detection depending on your strategy.
Table: You can toggle the dashboard on/off or change its position to fit your chart layout.
Credits: Base MACD logic derived from standard technical analysis concepts. Dynamic filtering logic adapted from volatility band theories.
Amihud Illiquidity Ratio [MarkitTick]💡This indicator implements the Amihud Illiquidity Ratio, a financial metric designed to measure the price impact of trading volume. It assesses the relationship between absolute price returns and the volume required to generate that return, providing traders with insight into the "stress" levels of the market liquidity.
Concept and Originality
Standard volume indicators often look at volume in isolation. This script differentiates itself by contextualizing volume against price movement. It answers the question: "How much did the price move per unit of volume?" Furthermore, unlike static indicators, this implementation utilizes dynamic percentile zones (Linear Interpolation) to adapt to the changing volatility profile of the specific asset you are viewing.
Methodology
The calculation proceeds in three distinct steps:
1. Daily Return: The script calculates the absolute percentage change of the closing price relative to the previous close.
2. Raw Ratio: The absolute return is divided by the volume. I have introduced a standard scaling factor (1,000,000) to the calculation. This resolves the issue of the values being astronomically small (displayed as roughly 0) without altering the fundamental logic of the Amihud ratio (Absolute Return / Volume).
- High Ratio: Indicates that price is moving significantly on low volume (Illiquid/Thin Order Book).
- Low Ratio: Indicates that price requires massive volume to move (Liquid/Deep Order Book).
3. Dynamic Regimes: The script calculates the 75th and 25th percentiles of the ratio over a lookback period. This creates adaptive bands that define "High Stress" and "Liquid" zones relative to recent history.
How to Use
Traders can use this tool to identify market fragility:
- High Stress Zone (Red Background): When the indicator crosses above the 75th percentile, the market is in a High Illiquidity Regime. Price is slipping easily. This is often observed during panic selling or volatile tops where the order book is thin.
- Liquid Zone (Green Background): When the indicator drops below the 25th percentile, the market is in a Liquid Regime. The market is absorbing volume well, which is often characteristic of stable trends or accumulation phases.
- Dashboard: A visual table on the chart displays the current Amihud Ratio and the active Market Regime (High Stress, Normal, or Liquid).
Inputs
- Calculation Period: The lookback length for the average illiquidity (Default: 20).
- Smoothing Period: The length of the additional moving average to smooth out noise (Default: 5).
- Show Quant Dashboard: Toggles the visibility of the on-screen information table.
● How to read this chart
• Spike in Illiquidity (Red Zones)
Price is moving on "thin air." Expect high volatility or potential reversals.
• Low Illiquidity (Green/Stable Zones)
The market is deep and liquid. Trends here are more sustainable and reliable.
• Divergence
Watch for price making new highs while liquidity is drying up—a classic sign of an exhausted trend.
Example:
● Chart Overview
The chart displays the Amihud Illiquidity indicator applied to a Gold (XAUUSD) 4-hour timeframe.
Top Pane: Price action with manual text annotations highlighting market reversals relative to liquidity zones.
Bottom Pane: The specific technical indicator defined in the logic. It features a Blue Line (Raw Illiquidity), a Red Line (Signal/Smoothed), and dynamic background coloring (Red and Green vertical strips).
● Deep Visual Analysis
• High Stress Regime (Red Zones)
Visual Event: In the bottom pane, the background periodically shifts to a translucent red.
Technical Logic: This event is triggered when the amihudAvg (the smoothed illiquidity ratio) exceeds the 75th percentile ( hZone ) of the lookback period.
Forensic Interpretation: The logic calculates the absolute price change relative to volume. A spike into the red zone indicates that price is moving significantly on relatively lower volume (high price impact). Visually, the chart shows these red zones aligning with local price peaks (volatility expansion), leading to the bearish reversal marked by the red box in the top pane.
• Liquid Regime (Green Zones)
Visual Event: The background shifts to a translucent green in the bottom pane.
Technical Logic: This triggers when the amihudAvg falls below the 25th percentile ( lZone ).
Forensic Interpretation: This state represents a period where large volumes are absorbed with minimal price impact (efficiency). On the chart, this green zone corresponds to the consolidation trough (green box, top pane), validating the annotated accumulation phase before the bullish breakout.
• Indicator Lines
Blue Line: This is the illiquidityRaw value. It represents the raw daily return divided by volume.
Red Line: This is the smoothedVal , a Simple Moving Average (SMA) of the raw data, used to filter out noise and define the trend of liquidity stress.
● Anomalies & Critical Data
• The Reversal Pivot
The transition from the "High Stress" (Red) background to the "Liquid" (Green) background serves as a visual proxy for market regime change. The chart shows that as the Red zones dissipate (volatility contraction), the market enters a Green zone (efficient liquidity), which acted as the precursor to the sustained upward trend on the right side of the chart.
● About Yakov Amihud
Yakov Amihud is a leading researcher in market liquidity and asset pricing.
• Brief Background
Professor of Finance, affiliated with New York University (NYU).
Specializes in market microstructure, liquidity, and quantitative finance.
His work has had a major impact on both academic research and practical investment models.
● The Amihud (2002) Paper
In 2002, he published his influential paper: “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects” .
• Key Contributions
Introduced the Amihud Illiquidity Measure, a simple yet powerful proxy for market liquidity.
Demonstrated that less liquid stocks tend to earn higher expected returns as compensation for liquidity risk.
The measure became one of the most widely used liquidity metrics in finance research.
● Why It Matters in Practice
Used in quantitative trading models.
Applied in portfolio construction and risk management.
Helpful as a liquidity filter to avoid assets with excessive price impact.
In short: Yakov Amihud established a practical and robust link between liquidity and returns, making his 2002 work a cornerstone in modern financial economics.
Disclaimer: All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
FVG MTF Consensus OscillatorFVG MTF Consensus Oscillator
A multi-timeframe, multi-component oscillator that combines momentum, deviation, and slope analysis across multiple timeframes using Zeiierman's Chebyshev-filtered trend calculation. This indicator identifies potential turning points with zone-based signal classification and timeframe consensus filtering.
Backed by ML/Deep Learning evaluation on ES Futures data from 2015-2024.
🎯 Concept
Traditional oscillators suffer from two major weaknesses:
Single measurement - relying on one metric makes them susceptible to noise
Single timeframe - missing the bigger picture leads to fighting the trend
The FVG MTF Consensus Oscillator addresses both issues by combining three independent measurements across three timeframes into a weighted consensus signal.
The Three Components
Momentum - How fast is the trend moving?
Deviation - How far has price stretched from the trend?
Slope - What is the short-term directional bias?
The Three Timeframes
TF1 (Chart) - Your current chart timeframe (lowest weight)
TF2 (Medium) - Typically 1H or 4H (medium weight)
TF3 (High) - Typically 4H or Daily (highest weight)
By requiring agreement across multiple components AND multiple timeframes, the oscillator filters out noise while capturing meaningful, high-probability market movements.
🔧 How It Works
The Core: Chebyshev Type 1 Filter
At its heart, this indicator uses a Chebyshev Type 1 low-pass filter (inspired by Zeiierman's FVG Trend) to extract a clean trend line from price action. Unlike simple moving averages, the Chebyshev filter offers:
Sharper cutoff between trend and noise
Minimal lag for a given smoothness level
Controlled overshoot via the ripple parameter
Three Oscillator Components
1. Momentum Component
Momentum = Current Trend Value - Previous Trend Value
Measures the velocity of the trend. High positive values indicate strong upward acceleration, while high negative values show downward acceleration.
2. Deviation Component
Deviation = Close Price - Trend Value
Measures how far price has stretched away from the trend line. Useful for identifying overextended conditions and mean reversion opportunities.
3. Slope Component
Slope = Change in Trend over 3 bars
Captures the short-term directional bias of the trend itself, helping confirm trend changes.
Normalization & Component Consensus
Each component is individually normalized to a -100 to +100 scale using adaptive scaling. The oscillator output is a weighted average of all three components, allowing you to emphasize different aspects based on your trading style.
Multi-Timeframe Weighting
The final oscillator value combines all three timeframes using configurable weights:
Combined = (TF1 × Weight1 + TF2 × Weight2 + TF3 × Weight3) / Total Weight
Default weights (1, 2, 3) ensure higher timeframes have more influence, keeping you aligned with the dominant trend while timing entries on lower timeframes.
📊 Zone System
The oscillator uses a fuzzy zone system to classify market conditions:
ZoneRangeInterpretationSignal ColorNeutral-5 to +5No clear bias, avoid tradingGrayContinuation±5 to ±25Trend pullback, continuation setupsAquaDeep Swing±25 to ±50Extended move, stronger setupsGreenReversalBeyond ±50Extreme extension, reversal potentialOrange
When "Show Zone Background" is enabled, the background shading darkens as the oscillator moves into more extreme zones, providing instant visual feedback.
📈 Signal Interpretation
Turn Signals
The indicator plots triangular markers when the oscillator changes direction:
▲ Triangle Up (bottom): Oscillator turning up from a low
▼ Triangle Down (top): Oscillator turning down from a high
Signal Quality by Zone
Not all signals are equal. The signal color indicates which zone the turn occurred in:
ColorZoneProbabilityBest UseGrayNeutralLowAvoid or use very tight stopsAquaContinuationModerateTrend continuation entriesGreenDeep SwingHigherSwing trade entriesOrangeReversalHighestCounter-trend with caution
Timeframe Consensus Filter
Signals only fire when the required number of timeframes agree on direction. With default settings (TF Consensus = 2), at least 2 of 3 timeframes must be moving in the same direction for a signal to trigger.
This prevents:
Taking longs when higher timeframes are bearish
Taking shorts when higher timeframes are bullish
Whipsaws during timeframe disagreement
Trend Coloring
The combined oscillator line changes color based on trend direction:
Light purple (RGB 240, 174, 252): Majority of timeframes trending up
Dark purple (RGB 84, 19, 95): Majority of timeframes trending down
Info Table
When MTF is enabled, a table in the top-right corner displays:
Current oscillator values for each timeframe (TF1, TF2, TF3)
Combined value (CMB)
Color coding: Green = rising, Red = falling
⚙️ Settings Guide
Timeframe Settings
SettingDefaultDescriptionEnable Multi-TimeframeOnMaster switch for MTF functionalityTF1 (Chart)"" (current)First timeframe, typically your chart TFTF2 (Medium)60Second timeframe, typically 1HTF3 (High)240Third timeframe, typically 4HTF1/TF2/TF3 Weight1 / 2 / 3Influence of each TF on combined signal
Timeframe Tips:
Keep TF1 ≤ TF2 ≤ TF3 (ascending order)
For day trading: 5m / 15m / 1H
For swing trading: 1H / 4H / Daily
For position trading: 4H / Daily / Weekly
Display Settings
SettingDefaultDescriptionShow All TimeframesOffDisplay individual TF oscillator linesShow Combined LineOnDisplay the weighted combined oscillatorShow Zone BackgroundOffShade background based on current zone
Trend Filter Settings
SettingDefaultDescriptionTrend Ripple4.0Filter responsiveness (1-10). Higher = faster but more overshootTrend Cutoff0.1Cutoff frequency (0.01-0.5). Lower = smoother trendNormalization Length50Lookback for scaling. Longer = more stable
Component Weights
SettingDefaultDescriptionMomentum Weight1.0Emphasis on trend speedDeviation Weight1.0Emphasis on price stretch from trendSlope Weight1.0Emphasis on short-term trend direction
Component Tips:
For trend-following: Increase Momentum and Slope weights
For mean reversion: Increase Deviation weight
Set any weight to 0 to disable that component
Zone Thresholds
SettingDefaultDescriptionNeutral Zone5Inner boundary (±5 = neutral)Continuation Zone25Middle boundary for continuation setupsDeep Swing Zone50Outer boundary for reversal zone
Adjust based on instrument volatility. More volatile instruments may need wider zones.
Signal Filters
SettingDefaultDescriptionSignal Cooldown3Minimum bars between signalsMin Turn Size2.0Minimum oscillator change for valid turnTF Consensus Required2Minimum TFs agreeing for signal (1-3)
💡 Usage Examples
Example 1: Trend Continuation (Dip Buying)
Setup: Uptrend confirmed by higher timeframes
Check the info table - TF2 and TF3 should show green (rising)
Wait for TF1 to pull back, oscillator enters Continuation zone
Enter on Aqua ▲ signal (turn up with TF consensus)
Stop below recent swing low
Target: Previous high or next resistance
Why it works: You're buying a dip in an established uptrend with multi-timeframe confirmation.
Example 2: Deep Swing Entry
Setup: Extended move showing exhaustion
Oscillator reaches Deep Swing zone (±25 to ±50)
At least 2 TFs start showing the same direction
Enter on Green signal indicating momentum exhaustion
Use tighter stop as the move is already extended
Target: Return to Continuation zone or trend line
Why it works: Extended moves tend to mean-revert. The zone system identifies these opportunities.
Example 3: Reversal Setup (Advanced)
Setup: Extreme extension with diverging timeframes
Oscillator reaches Reversal zone (beyond ±50)
Watch for TF1 to turn while TF3 is still extended
Enter on Orange signal - this is counter-trend!
Use smaller position size and wider stops
Target: Return to Deep Swing or Continuation zone
Why it works: Extreme extensions eventually correct. The orange signal marks high-probability reversal points.
Example 4: Avoiding Bad Trades
What to avoid:
Gray signals in Neutral zone - No edge, random noise
Signals against TF3 direction - Fighting the dominant trend
Signals without TF consensus - Timeframe disagreement = choppy market
Multiple signals in quick succession - Let cooldown filter work
🔬 Multi-Timeframe Analysis Tips
Reading the Info Table
The info table shows real-time oscillator values:
| TF1 | TF2 | TF3 | CMB |
| 23.5 | 45.2 | 67.8 | 52.1 |
All green: Strong uptrend across all timeframes
All red: Strong downtrend across all timeframes
Mixed colors: Potential transition or consolidation
Timeframe Alignment States
TF1TF2TF3Interpretation↑↑↑Strong bull - look for long entries↓↓↓Strong bear - look for short entries↑↑↓Pullback in downtrend - caution on longs↓↓↑Pullback in uptrend - caution on shorts↑↓↑Choppy - reduce position size↓↑↓Choppy - reduce position size
The Power of Consensus
With TF Consensus = 2, signals only fire when 2+ timeframes agree. This single filter eliminates most whipsaws and keeps you aligned with the dominant trend.
For more conservative trading, set TF Consensus = 3 (all timeframes must agree).
⚠️ Important Notes
This indicator does not predict the future. It measures current market conditions and momentum across multiple timeframes.
Always use proper risk management. No indicator is 100% accurate.
Combine with price action. The oscillator works best when confirmed by support/resistance, candlestick patterns, or other confluence factors.
Respect the higher timeframe. When TF3 disagrees, trade smaller or sit out.
Zone signals are probabilistic. Orange (reversal) signals have higher probability but aren't guaranteed reversals.
Adjust settings per instrument. Default settings are optimized for ES Futures but may need tuning for other markets.
🧪 ML/Deep Learning Background
The default parameters and zone thresholds were evaluated using machine learning techniques on ES Futures data spanning 2015-2024. This included:
Optimization of component weights
Zone threshold calibration
Timeframe weight balancing
Signal filter tuning
While past performance doesn't guarantee future results, the parameters represent a data-driven starting point rather than arbitrary defaults.
🙏 Credits
This indicator is inspired by Zeiierman's Multitimeframe Fair Value Gap (FVG) indicator, specifically utilizing concepts from his Chebyshev Type 1 filter implementation for trend calculation.
Original indicator: Multitimeframe Fair Value Gap – FVG (Zeiierman)
📝 Changelog
v1.0
Initial release
Three-component consensus oscillator (Momentum, Deviation, Slope)
Multi-timeframe support with weighted combination
Fuzzy zone classification system
Configurable component and timeframe weights
TF consensus filter for signal quality
Signal cooldown and minimum turn size filters
Real-time info table with TF values
Optional zone background shading
EMA13-EMA21 Difference Indicator# EMA13-EMA21 Difference Indicator
## Description
This indicator calculates the difference between the 13-period Exponential Moving Average (EMA13) and the 21-period Exponential Moving Average (EMA21), helping traders visually assess short-term market momentum.
**Core Logic:**
- When the difference is positive (green), the short-term EMA is above the long-term EMA, indicating a bullish trend
- When the difference is negative (red), the short-term EMA is below the long-term EMA, indicating a bearish trend
- Crossovers of the zero line can serve as potential trend reversal signals
**Use Cases:**
- Trend direction identification
- Momentum strength analysis
- Entry and exit timing assistance
**Disclaimer:**
This indicator is for reference only. It is recommended to combine it with other technical analysis tools for comprehensive judgment. This does not constitute investment advice.
Market Potential EstimatorWhat this indicator shows
This indicator measures how much potential movement the market still has, not direction.
It answers the question:
“Does the market still have room to move, or is it already exhausted?”
Red zone (Low potential)
Exhaustion / slowdown zone.
The market has used most of its available range.
Expect:
consolidation
pullbacks
reduced follow-through
⚠️ Red does NOT mean reversal
How to use it correctly
Use it as a filter, not a trigger
Avoid opening new trades in red zones
Reduce targets when potential is low
Combine with:
direction/bias
momentum
structure
Ai Kavach by Pooja v16✅ Fakeout Kavach by Pooja — Smart Fake Breakout Protector
Fakeout Kavach is designed to help traders understand when a breakout is strong and when it is likely to be a trap.
It works as a confirmation and filtering system, giving you a clear view of market strength, momentum, volume pressure, and potential reversal signs — without providing buy/sell recommendations.
This is a support tool for traders who want cleaner entries, fewer trap trades, and better clarity in fast-moving markets.This tool adds an intelligent multi-layer confirmation system on your chart so you can quickly understand:
✔ When the breakout is real
✔ When the market has strength
✔ When momentum is fading
✔ And when you should simply avoid the move
It doesn’t give buy/sell calls.
Instead, it helps you decide “Should I trust this move or not?”
⭐ Core Features (Explained in Simple Language)
🔹 1. Fake Breakout Filter (RSI + MA Logic)
Fakeouts often happen when price shows strength but momentum does not.
This module checks:
RSI strength
RSI–MA crossover behaviour
Momentum direction
Push/rejection zones
📌 Benefit:
Quickly see if the breakout has real strength behind it or it’s just a trap candle.
🔹 2. Trend Strength Filter (ADX Protection)
Most traders lose money in sideways markets.
ADX Filter helps you understand whether the market actually has trend strength or not.
📌 Benefit:
Avoid taking trades when the market is weak, choppy, or directionless.
Only focus on moves backed by strength.
🔹 3. SB/SS Smart Confirmation
SB (Strong Break) and SS (Strong Slide) confirmations highlight alignment between:
Momentum
Trend
Strength
RSI structure
📌 Benefit:
Cleaner entries, fewer false triggers, and more confidence in the move you take.
🔹 4. Divergence Detection (RSI Based)
Catches early signs of:
Bullish reversal
Bearish reversal
Exhaustion at highs/lows
📌 Benefit:
Helps you avoid entering at the worst possible points and improves exit timing.
🔹 5. VAD Module (Volume + ATR + Delta Pressure)
Fake moves usually have weak volume or no volatility.
This module checks:
Volume strength
Volatility (ATR)
Buying/selling pressure (Delta)
📌 Benefit:
Helps you understand whether the breakout is backed by real buyer/seller pressure.
🔹 6. Session Protection
Opening candles can be noisy and unpredictable.
Session block lets you avoid signals during high volatility windows.
📌 Benefit:
No more taking wrong entries during the rush at market open.
🔹 7. Fully Modular – Use Only What YOU Need
Every feature has its own ON/OFF switch.
You can create your perfect setup by enabling only what you prefer.
📌 Benefit:
Suitable for scalpers, intraday traders, swing traders, and even beginners.
🎨 Customization Power — Fully Modular Design
✔ Every section of Fakeout Kavach has its own ON/OFF toggle:
✔ Turn RSI visuals on/off
✔ Enable or disable MA & fills
✔ Activate or hide divergences
✔ Use or ignore ADX trend filter
✔ Show or hide SB/SS signals
✔ Enable or disable session block
✔ Choose label style, shapes, colors, sizes
✔ Keep chart clean or run full analysis mode
✔ You decide what appears.
✔ You control the complexity.
✔ One indicator fits all types of traders.
🌍 Works Across All Markets
✔ Stocks
✔ Crypto
✔ Forex
✔ Commodities
✔ Indices
All timeframes from scalping to swing trading.
⭐ What This Indicator Helps You With
Avoiding trap candles
✔ Understanding when a move is strong or weak
✔ Filtering bad breakouts
✔ Confirming market structure with momentum
✔ Spotting reversal signs early
✔ Building confidence in your entries
✔ Staying out of sideways/no-volume zones
🛠 Support
For indicator-related questions, clarification, or feature suggestions, you can contact the creator through TradingView’s comment section or direct message.
⚠ Disclaimer (TradingView Policy Safe)
This indicator does not provide buy/sell signals, does not predict market movements, and does not guarantee results or profitability.
It is a technical analysis tool intended to assist traders in making their own trading decisions.
Always use proper risk management and follow your own trading plan.
Tether Dynamics - Statistical Exhaustion EngineOverview
This strategy detects statistical exhaustion in price movement by modeling price as a particle tethered to a dynamic anchor. When price stretches too far from equilibrium and multiple independent statistical detectors confirm anomalous behavior, the strategy identifies high-probability mean-reversion opportunities.
Unlike simple oversold/overbought indicators, this system fuses concepts from classical mechanics , stochastic filtering , multivariate statistics , and statistical process control into a unified detection framework.
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THEORETICAL FOUNDATION
1. The Tethered Particle Model
The framework draws inspiration from Polyak's heavy ball method in optimization theory, where a particle with momentum navigates a loss landscape. Here, price is modeled as a particle connected to a moving anchor (adaptive EMA) by an elastic "chain" whose length scales with volatility (ATR). This creates a natural physics framework:
Displacement (x) : Distance from anchor, normalized by chain length
Velocity (v) : Rate of change of displacement
Acceleration (a) : Rate of change of velocity
This state vector defines the system's "phase space" — a complete description of price dynamics relative to equilibrium.
2. Adaptive Anchor (Kaufman Efficiency)
The anchor uses an adaptive smoothing approach inspired by Perry Kaufman's Adaptive Moving Average. The Efficiency Ratio measures trend strength:
ER = |Direction| / Volatility = |Price - Price | / Σ|ΔPrice|
High efficiency (trending) → faster adaptation
Low efficiency (choppy) → slower, more stable anchor
This prevents whipsaws in ranging markets while staying responsive in trends.
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DETECTION ARCHITECTURE
The strategy employs three independent statistical detectors , each grounded in distinct mathematical frameworks. A signal fires when price shows extended tension AND any detector confirms anomalous behavior AND momentum is decelerating (exhaustion).
Detector 1: Mahalanobis Distance (Multivariate Outlier Detection)
The Mahalanobis distance measures how "unusual" the current state vector is, accounting for correlations between displacement, velocity, and acceleration:
D² = (x - μ)ᵀ Σ⁻¹ (x - μ)
Where Σ is the full 3×3 covariance matrix. Under multivariate normality, D² follows a chi-squared distribution with 3 degrees of freedom:
χ²(3, 0.90) = 6.25 → 10% of observations exceed this
χ²(3, 0.95) = 7.81 → 5% of observations exceed this
This detector identifies states that are jointly extreme — even if no single variable looks unusual alone.
Why it matters: A price might have moderate displacement and moderate velocity, but the combination could be highly improbable. Mahalanobis captures this multivariate structure that univariate indicators miss.
Detector 2: CUSUM Change-Point Detection
Cumulative Sum (CUSUM) is a sequential analysis technique from statistical process control. It accumulates standardized deviations from the mean:
S⁺ₜ = max(0, S⁺ₜ₋₁ + zₜ - drift)
S⁻ₜ = min(0, S⁻ₜ₋₁ + zₜ + drift)
When either cumulative sum breaches a threshold, a "change point" is detected — the process has shifted from its baseline regime.
Why it matters: CUSUM detects subtle, persistent shifts that might not trigger on any single bar. It's sensitive to regime changes that precede reversals.
Detector 3: Kalman Innovation Filter (Ornstein-Uhlenbeck Model)
This detector models displacement as an Ornstein-Uhlenbeck process — the continuous-time analog of AR(1) mean-reversion:
dx = θ(μ - x)dt + σdW
A Kalman filter tracks the expected displacement and computes the innovation (prediction error):
νₜ = (yₜ - x̂ₜ|ₜ₋₁) / √Sₜ
Under correct model specification, normalized innovations should be ~N(0,1). Large innovations indicate the mean-reversion model is breaking down — price is behaving "unexpectedly" relative to equilibrium dynamics.
Adaptive Q Estimation: The filter continuously adjusts its process noise estimate based on innovation autocorrelation, maintaining calibration across different volatility regimes.
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SIGNAL LOGIC
Long Signal Requirements:
Z-Displacement < -σ threshold (price stretched below anchor)
ANY detector fires (Mahalanobis outlier OR CUSUM change OR Kalman innovation < -2σ)
Z-Acceleration > 0 (downward momentum decelerating)
Short Signal Requirements:
Z-Displacement > +σ threshold (price stretched above anchor)
ANY detector fires
Z-Acceleration < 0 (upward momentum decelerating)
The deceleration requirement ensures we're catching exhaustion rather than fighting momentum.
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RISK MANAGEMENT
Scale-Out Exit Strategy
Rather than all-or-nothing exits, the strategy takes profits at multiple R-levels:
Scale 1: 20% at 0.5R
Scale 2: 20% at 1.0R
Scale 3: 10% at 1.5R (optional)
Remainder: Trailing stop
This locks in gains while allowing winners to run.
Adaptive Trailing Stop
After reaching the activation threshold (default 1R), the stop trails from the highest high (longs) or lowest low (shorts) at a configurable ATR multiple.
Reversal Logic
When an opposite signal fires while in position, the strategy can close and flip direction rather than waiting for a stop-out.
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PARAMETER GUIDANCE
Anchor Period (24) : Base period for adaptive anchor
ATR Period (14) : Volatility measurement
Chain Length Mult (2.5) : Tether elasticity — higher = more stretch allowed
Long Tension σ (1.5) : Lower = more signals
Short Tension σ (2.0) : Higher threshold for shorts (trend asymmetry)
Mahalanobis Threshold (6.25) : χ²(3, 0.90) — adjust for signal frequency
CUSUM Threshold (3.0) : Lower = more sensitive to regime shifts
Lookback Window (100) : Statistical estimation window
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BACKTEST NOTES
Historical testing on NQ (2020-2025) suggests:
Long signals show stronger edge than shorts in equity indices
1H and 30-min timeframes balance signal quality vs. frequency
"Long Only" mode recommended for equity index futures
Important: Past performance does not guarantee future results. This strategy involves significant risk of loss.
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MATHEMATICAL REFERENCES
Polyak, B.T. (1964). "Some methods of speeding up the convergence of iteration methods" (Heavy ball method)
Bertsekas, D.P. (1999). "Nonlinear Programming" (Heavy ball method / momentum dynamics)
Mahalanobis, P.C. (1936). "On the generalized distance in statistics"
Page, E.S. (1954). "Continuous inspection schemes" (CUSUM)
Kalman, R.E. (1960). "A new approach to linear filtering and prediction problems"
Uhlenbeck, G.E. & Ornstein, L.S. (1930). "On the theory of Brownian motion"
Kaufman, P. (1995). "Smarter Trading" (Adaptive Moving Average)
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DISCLAIMER
This strategy is provided for educational and research purposes. Trading futures involves substantial risk of loss. The statistical methods employed do not guarantee profitable outcomes. Always use appropriate position sizing and risk management.
Whale Trading Network Technical Indicator
Whale Trading Network — Technical Indicator (WTN)
What it does — signal families
WTN produces three signal types across three user‑selected timeframes: (1) Green : bottom setup candidates, (2) Gold : continuation confirmations, and (3) Red : early top warnings. It blends momentum with trend/structure context and suppresses prints during sustained downtrends or late‑stage rallies. Defaults target 4h, 1d, and 5d workflows.
Preamble — originality and invite‑only context
WTN is a controller‑driven, regime‑aware indicator that coordinates classic elements (RSI, MACD, Stochastic RSI, MAs, BBs) into a governed signal layer rather than a simple overlay. A latched Down‑Channel regime, a Top‑Zone swing gate, cross‑asset/timeframe normalization, confluence‑based dot permissions, and multi‑timeframe orchestration (gold‑only on the highest frame) work together to actively manage when signals are allowed. The sections below explain why this is not a mashup and why the closed‑source / vendor value resides in WTN’s state‑machine logic, interlock rules, normalization framework, and cross‑frame roles—presented at the concept level so traders and moderators can understand how it operates without exposing proprietary thresholds.
Why it’s not a simple mashup (originality & usefulness)
WTN is not a bundle of classic tools; it is a controller‑driven indicator with regime awareness, gating, and normalization that coordinates otherwise independent signals into a single, coherent decision layer. Instead of overlaying RSI + MACD + BB + MAs, WTN governs when those tools matter, how long their states persist, and when prints must be blocked—using rules a basic mashup does not provide.
What the controller actually governs
Identifies and latches regimes (e.g., sustained down‑channel) so print permissions change with context—not just oscillator ticks.
Applies gates (e.g., Top‑Zone) when swing positioning suggests late‑stage risk.
Normalizes and weights evidence so MACD, RSI, Stoch RSI, histogram behavior, and price context contribute coherently.
Coordinates timeframes so dots form a workflow (tactical → swing → continuation) rather than three unrelated overlays.
Regime awareness & hysteresis (stability by design)
A core source of originality is hysteresis : once WTN recognizes a down‑channel, it latches that regime and suppresses prints until persistent breakout evidence plus momentum stabilization appear. This prevents flip‑flopping during chop, “first‑bounce” head fakes, and lower‑high rallies that a simple overlay will often misclassify. The regime state is visible (tinted panel), so users know why signals are paused.
Context gates that actively refuse bad timing
Two key context gates reduce “chase‑the‑top” and “bottom‑fish” problems:
Down‑Channel Latch: Blocks bottom candidates while momentum/structure remain impaired, then re‑enables only after sustained improvement.
Top‑Zone Gate: Detects upper‑swing positioning with momentum decay and blocks prints until positioning resets, avoiding confirmations into exhaustion.
Normalization that makes confluence real
Classic indicators have incompatible scales that vary across assets and timeframes. WTN normalizes them:
MACD line/signal/histogram, RSI, and Stoch RSI are mapped to consistent ranges so slope tests and region checks are comparable.
This lets confluence be meaningful : no single tool dominates due to scale; each contributes proportionally to permissions.
Multi‑timeframe orchestration (coordinated, not duplicated)
WTN assigns roles across the three selected timeframes:
Shorter timeframe: Tactical green setups (higher risk), ideally validated by gold .
Middle timeframe: Swing validation with more selective gold .
Highest timeframe: Gold‑only continuation, prioritizing higher‑confidence confirmation.
On lower frames, gold requires a prior green ; on the highest frame, green never prints . This structure turns dots into a sequence rather than three independent overlays.
Permission lattice & precedence (how conflicts are resolved)
Signals must pass a permission lattice where evidence sources interlock:
Momentum alignment: MACD slope and histogram behavior must agree; a single crossover is not enough.
Oscillator state: RSI/Stoch RSI must be supportive (e.g., stabilization from weak zones for a bottom candidate).
Structure & volatility context: MA stack, BB basis/width, and ATR‑aware checks help confirm or veto timing.
Regime/gate status: Down‑Channel or Top‑Zone states can override otherwise bullish micro‑signals.
Precedence rules mean a strong veto (e.g., active latch) can inhibit a print even if oscillators briefly improve.
Debounce, persistence & resumption (time matters)
WTN emphasizes persistence windows and debounce behavior:
Breakouts must persist (not one‑bar spikes) before the latch releases.
Oscillator stabilization must sustain before green candidates are permitted.
Continuations ( gold ) require maintained alignment , not transient ticks, so you avoid prints on single‑bar noise.
Failure modes addressed by the controller
RSI oversold during falling MACD: Basic mashups flag “bottom”; WTN keeps the latch until histogram and RSI recover together .
Momentum crossover inside the Top‑Zone: Overlays confirm continuation; WTN blocks until price resets out of the upper swing.
Event‑driven spikes (gap/volatility bursts): Transient improvements are debounced ; permissions wait for sustained evidence.
Indicator scale drift across assets/timeframes: Normalization ensures confluence rules remain consistent when you switch symbols.
Interpretability: see the “why,” not just the “what”
WTN’s pane is structured for auditability :
Tinted background exposes regime state (e.g., down‑channel latch).
Histogram anchored at 0 , RSI in the upper sub‑pane (0–100), Stoch RSI in the lower sub‑pane (−100–0) with clear overbought/oversold coloring.
Traders can visually trace the permission path: regime → positioning → momentum → oscillator → dot allowed/blocked.
Bottom line: WTN’s originality lives in the controller, regime latch, context gates, normalization, permission lattice, and timeframe orchestration that actively manage when a print is allowed. It is a coordinated decision system—not a simple overlay of classic indicators—and that governance is the reason it adds practical value for traders.
Why closed‑source / vendor value
WTN is powered by a proprietary engine written from the ground up in Pine v6; the source does not reuse any third‑party open‑source code. Its originality lies in the controller architecture and interlock logic that govern regime detection, context gates, normalization, and cross‑frame coordination. While it reads familiar elements (RSI, MACD, Stochastic RSI, MAs, BBs), the value comes from how those elements are orchestrated—state‑machine gating with hysteresis, context‑aware suppression and resumption, normalized confluence tests, and gold‑only continuation on the highest timeframe—yielding behavior that is not achievable by simply overlaying built‑ins.
What is original (and protected)
State‑machine gating: Rules define regimes, transitions, hysteresis, and re‑enable conditions across evidence sources (momentum slope, histogram decay/recovery, oscillator zones, MA/BB context).
Permission graph & interlocks: RSI, MACD (line/signal/histogram), Stoch RSI, price‑structure gates, and MA/BB context vote together through precedence rules—this coordination is proprietary.
Normalization framework: Mapping and using normalized ranges for momentum/oscillators to make confluence tests stable across assets/timeframes is a deliberate design central to WTN’s consistency.
Multi‑timeframe controller roles: Gold‑only behavior on the highest timeframe and the green‑precedence rule on lower frames are coordinated workflows specific to WTN.
Context‑aware suppression/resumption: Suppressing dots during down‑channels and top‑zones, then resuming only on verified persistence, reduces “false‑print drift” common to naive mashups.
Why protection is appropriate
Not reproducible through overlays: While anyone can overlay RSI, MACD, and BBs, WTN’s controller decisions (state transitions, permission checks, persistence windows, evidence requirements) are not trivially inferred from outputs and are central to its behavior.
Integrity of the workflow: Protection preserves a single, tested implementation so users do not encounter fragmented clones with altered rules that undermine the controller’s intent.
Ongoing calibration: Profiles for Crypto vs. Stocks (across three timeframes each) are curated to typical volatility traits. Maintaining these calibrations and the permission graph is part of the product’s vendor value.
What traders get (concept level, not black‑box hype)
Regime‑aware signals: Fewer prints into multi‑leg downtrends or late‑stage tops because the system explicitly refuses to signal in those contexts.
Consistent confluence: Normalization makes cross‑asset/timeframe confluence checks meaningful; users aren’t whipsawed by indicator scale differences.
Coherent workflow: Green → Gold on tactical frames, Gold‑only on the highest frame for continuation—an interpretable sequence that is easy to audit on the pane.
Transparent context: Tinted backgrounds and sub‑pane organization show why a dot was allowed or blocked (regime, swing position, oscillator state), letting traders understand how the script does what it claims—without exposing proprietary thresholds.
How it works — components & flow (concept level)
1) Normalized momentum & context
WTN reads RSI , MACD (line, signal, histogram), Stochastic RSI , ATR‑aware volatility , moving averages , Bollinger Bands , and price‑structure gates . Internals normalize oscillator values to a common pane so slopes, threshold checks, and histogram behavior are comparable across assets and timeframes. The histogram remains centered on 0, RSI uses 0–100 in the upper sub‑pane, and Stoch RSI maps to the lower sub‑pane.
Conceptual effect:
Normalization mitigates asset‑specific amplitude differences (e.g., MACD’s variable scale) so confluence tests don’t break when you switch symbols/timeframes.
Visual cues (line colors for overbought/oversold) make state changes obvious.
2) Regime detection — Down‑Channel Latch
Synchronized evidence (weak MA stack, negative momentum slope, fading histogram, RSI/Stoch RSI weak zones, price‑structure traits) latches the down‑channel regime. When latched, green prints are suppressed . The latch releases only after breakout persistence and improvements in RSI/histogram confirm trend resumption. The panel tints red while latched.
Design intent: Cut bottom‑fishing noise during multi‑leg downtrends, then resume prints only after sustained recovery.
3) Swing‑positioning — Top‑Zone Gate
A “top‑zone” derived from recent swing bounds with BB/Fibonacci context and momentum checks blocks new prints when price is in the upper swing and momentum decays, reducing confirmations into exhaustion.
4) Dot permissions (confluence gating)
WTN coordinates RSI, MACD, Stoch RSI, histogram behavior, SMA/BB context , and regime gates to determine whether a dot is allowed:
Green (bottom setup): Requires momentum deceleration with histogram improvement, RSI stabilizing upward, and price firming vs recent closes. Suppressed in Down‑Channel latch or Top‑Zone gate.
Gold (continuation): On lower two timeframes, prints only after a prior green and requires aligned momentum/oscillator states and supportive price context; on the highest timeframe, gold‑only prints emphasize higher‑confidence continuation cues.
Red (early top warning): Requires synchronized local peaks/roll‑downs across oscillators with slowing histogram; blocked in specific exhaustion conditions to avoid warnings into capitulation.
5) Multi‑timeframe controller
A controller aligns permissions across the three selected timeframes . Shorter frames provide tactical entries; the middle frame favors swing setups; the highest frame prints gold‑only for major continuation confirmation. Signals are coordinated, not independent overlays.
How to use it
Choose timeframes: Defaults target 4h / 1d / 5d . Use the shorter frame to spot tactical green ; wait for gold on the same or higher frame to confirm. Use the middle frame for swing validation. The highest frame is gold‑only , helping avoid early greens during broader trends.
Watch the tint: A red background band denotes the Down‑Channel latch ; expect suppressed greens until breakout persistence and momentum improvement.
Read the panel: The pane shows normalized momentum (MACD, histogram) with RSI up top and Stoch RSI below, including clear overbought/oversold coloring.
Confirm, then manage exposure: Treat green → gold as the preferred sequence. MA/BB context helps gauge trend strength (e.g., price vs 50/100/200 SMA and BB basis). Greens are higher‑risk; favor gold confirmations.
Crypto vs Stocks — calibrated profiles
Profiles are tuned for typical volatility patterns in each asset class. Each timeframe has its own calibration, yielding six independent tuning sections (3 per asset class).
Screenshots — captions
Screenshot 1 — Down‑Channel latch & release
The red‑tinted band shows the Down‑Channel latch regime on the indicator pane. While latched, green prints are suppressed . The latch only releases after breakout persistence and momentum improvement are visible (MACD/histogram strengthening with RSI and Stochastic RSI stabilizing). Once released, if the Top‑Zone gate is open and price context is supportive, the controller may permit a green dot on the lower timeframes, followed by a gold confirmation when conditions remain aligned.
Screenshot 2 — Pane layout & normalization
The indicator pane is organized for quick audit: the histogram is centered on 0 ; RSI plots in the upper sub‑pane on a 0–100 range; Stochastic RSI plots in the lower sub‑pane on a −100 to 0 normalized range. MACD line/signal/histogram and oscillators are normalized so slope checks, region tests, and confluence are comparable across symbols/timeframes. Line colors reflect overbought/oversold states to make regime/context changes easy to read.
Screenshot 3 — Adaptive dot permissions (sequence example)
This sequence shows adaptive dot permissions at work. After breakout persistence from a latched down‑channel, the controller permits a gold dot on the 5‑day view to confirm continuation (the highest timeframe uses gold‑only ). Soon after, the Top‑Zone gate engages, momentum slows (RSI/Stochastic RSI roll down, histogram decays), and a red dot warns of an early top. If deterioration persists, the Down‑Channel re‑latches and prints remain suppressed until the next verified recovery.
Limits & notes
100% original work: The WTN engine and controller logic are programmed from the ground up. No third‑party open‑source code, educational snippets, or auto‑generated code are reused.
No external libraries: Built in Pine v6 using standard language features only; no external libraries or ports of community scripts are used.
Chart type: Designed for standard time‑based candles only; non‑standard charts (Heikin Ashi, Renko, Kagi, P&F, Range) can produce unrealistic results.
Data handling: No lookahead and no future offsets.
Risk disclosure & legal notice
This tool is provided for educational purposes only and does not constitute financial or investment advice or recommendations.
Trading and investing involve risk, including possible loss of principal.
No guarantees or warranties of performance are expressed or implied. Past results do not predict future outcomes.
This publication does not include solicitation, pricing, or promotional offers; it provides information on the indicator’s design and use.
Use at your own risk. Test settings on paper and consult a qualified investment professional familiar with your risk tolerance before any live use.
CVD Oscillator - Alphaomega18ORDER FLOW DASHBOARD OSCILLATOR - TRADINGVIEW PUBLICATION (ENGLISH)
Created by Alphaomega18
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📌 PUBLICATION TITLE
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Order Flow Dashboard - CVD Oscillator & Pressures - Alphaomega18
📝 COMPLETE DESCRIPTION
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🎯 TRACK INSTITUTIONAL FLOW IN REAL-TIME
Order Flow Dashboard Oscillator is an advanced indicator that displays CVD (Cumulative Volume Delta) as a percentage oscillator, combined with real-time buy/sell pressures.
Unlike traditional CVD indicators where raw CVD reaches millions and crushes other data, this oscillator displays CVD deviation from its average in %, allowing clear reading on the SAME scale as pressures.
🔥 THE PROBLEM SOLVED
Classic CVD indicator problem:
✗ Raw CVD climbs to 1,000,000+ → Unreadable
✗ Pressures stay small (0-500) → Invisible
✗ Impossible to see both simultaneously
✗ Cluttered and confusing chart
Solution with CVD Oscillator:
✅ CVD displayed as % deviation (oscillates around 0)
✅ Pressures normalized on same scale
✅ EVERYTHING visible simultaneously
✅ Clear and intuitive reading
📊 INDICATOR COMPONENTS
🔷 CVD OSCILLATOR (Thick white line)
Traditional CVD accumulates infinitely:
→ Raw CVD = 50,000 ... 100,000 ... 500,000 ... 1,000,000+
→ Hard to interpret
CVD Oscillator shows DEVIATION:
→ CVD Oscillator = +5% ... +12% ... -3% ... -8%
→ Easy to interpret!
**How it works:**
• Calculates distance between CVD and its moving average (20 periods default)
• Converts to percentage
• Oscillates around 0 (gray center line)
**Interpretation:**
• **Above 0** → CVD > Average = BULLISH trend
• **Below 0** → CVD < Average = BEARISH trend
• **+10% zone** (green dotted line) → Buyer strength
• **-10% zone** (red dotted line) → Seller strength
🔷 BUY/SELL PRESSURES (Green/Red zones)
**Buy Pressure (Green zone)**
→ Calculated on bullish candles
→ Proportional to candle size
→ Normalized for optimal visibility
**Sell Pressure (Red zone)**
→ Calculated on bearish candles
→ Proportional to candle size
→ Normalized for optimal visibility
**Extreme Pressures** (Background)
→ 🟢 Light green background = EXTREME buy pressure (delta > 2x average)
→ 🔴 Light red background = EXTREME sell pressure (delta < -2x average)
🔷 REAL-TIME DASHBOARD (Top right corner)
Displays 6 key metrics:
1. **CVD Osc**: Oscillator value in %
2. **CVD Raw**: Raw CVD value (reference)
3. **Trend**: 🟢 Bullish or 🔴 Bearish
4. **Delta**: Current candle delta
5. **Volume**: HIGH (spike) or Normal
6. **Pressure**: 🚀 BUY / 💥 SELL / Neutral
🎯 HOW TO USE IT
📌 CASE 1: HOLD TRADES LONGER
**Classic problem:**
→ You're in a LONG
→ Price pulls back slightly, you panic
→ You exit... then price resumes up
→ Frustration: "I was right but exited too early!"
**Solution with CVD Oscillator:**
Example LONG trade:
1. You enter LONG on breakout
2. You watch CVD Oscillator
3. **As long as it stays ABOVE 0** → Keep the trade
4. Institutions continue accumulating
5. Trend remains intact
Exit:
→ CVD Oscillator **crosses below 0**
→ Signal: Institutions now selling
→ You exit or take profits
**Result:**
✅ You maximize your gains
✅ You exit at right time (when flow changes)
✅ You don't panic on small corrections
📌 CASE 2: CONFIRM TREND STRENGTH
**Setup:**
→ Price in uptrend
→ But is it real trend or just noise?
**Check CVD Oscillator:**
STRONG trend:
→ CVD Oscillator **stays positive** (+5%, +8%, +12%)
→ Dominant buy pressures (green zones)
→ Few or no red backgrounds
WEAK trend:
→ CVD Oscillator **oscillates around 0** (+2%, -1%, +3%)
→ Mixed pressures (green and red alternate)
→ Lack of conviction
**Action:**
✅ Strong trend → Trade with confidence
⚠️ Weak trend → Be cautious or avoid
📌 CASE 3: DETECT TREND CHANGE
**CVD Oscillator Divergence:**
Price makes higher highs BUT:
→ CVD Oscillator makes lower highs
→ +15% ... +12% ... +8% (progressive decline)
→ Sell pressures increasing
Signal: Distribution in progress
→ Institutions selling into rally
→ Reversal likely
→ Prepare SHORT or exit LONG
📌 CASE 4: OPTIMAL ENTRY TIMING
**Situation:**
→ Price consolidating
→ You wait for signal to enter
**LONG entry signal:**
→ CVD Oscillator **crosses above 0**
→ Green background (extreme buy pressure) appears
→ Dashboard: 🚀 BUY
Action: Enter LONG immediately
**SHORT entry signal:**
→ CVD Oscillator **crosses below 0**
→ Red background (extreme sell pressure) appears
→ Dashboard: 💥 SELL
Action: Enter SHORT immediately
⚙️ CUSTOMIZABLE PARAMETERS
🔧 **CVD Moving Average Length** (default: 20)
→ Moving average period for oscillator
→ Shorter (10-15) = More reactive, more signals
→ Longer (30-50) = Smoother, fewer false signals
👁️ **Show CVD Oscillator** (On/Off)
→ Show/hide CVD Oscillator line
👁️ **Show Buy/Sell Pressure** (On/Off)
→ Show/hide pressure zones
👁️ **Show Info Dashboard** (On/Off)
→ Show/hide information table
📊 RECOMMENDED CONFIGURATIONS
**For Day Trading (15min-1H):**
```
CVD MA Length: 20
Show CVD Oscillator: ✅ ON
Show Buy/Sell Pressure: ✅ ON
Show Info Dashboard: ✅ ON
```
**For Scalping (1-5min):**
```
CVD MA Length: 10 (more reactive)
Show CVD Oscillator: ✅ ON
Show Buy/Sell Pressure: ✅ ON
Show Info Dashboard: ✅ ON
```
**For Swing Trading (4H-Daily):**
```
CVD MA Length: 30 (smoother)
Show CVD Oscillator: ✅ ON
Show Buy/Sell Pressure: ✅ ON
Show Info Dashboard: ✅ ON
```
💡 MARKETS AND TIMEFRAMES
✅ **ALL markets compatible:**
• Futures (ES, NQ, YM, RTY, MNQ, MES, etc.)
• Forex (EUR/USD, GBP/USD, USD/JPY, etc.)
• Crypto (BTC, ETH, altcoins)
• Stocks (Tesla, Apple, Nvidia, etc.)
• Indices (S&P 500, Nasdaq, Dow Jones)
✅ **All timeframes:**
• Scalping: 1min, 5min
• Day Trading: 15min, 30min, 1H ⭐ (optimal!)
• Swing Trading: 4H, Daily
Note: More reliable with real volume data
→ TradingView Premium recommended
🏆 UNIQUE ADVANTAGES
✅ **CVD Oscillator**: % deviation instead of raw value
✅ **Same scale**: CVD and pressures visible together
✅ **Intuitive reading**: Above/below 0
✅ **Normalized pressures**: Always visible
✅ **Real-time dashboard**: 6 key metrics
✅ **Strength zones**: +10% and -10% marked
✅ **Background alerts**: Visual extreme pressures
✅ **Optimized code**: Light and fast
✅ **No repaint**: Reliable signals
🔗 PERFECT COMPLEMENT
Use with **Order Flow Signals** for complete system:
• **Order Flow Signals** (overlay=true) → Signals on chart
→ 💎 Absorptions, ▲ Divergences, 🚀 Pressures
• **Order Flow Dashboard** (overlay=false) → CVD and metrics
→ CVD Oscillator, Pressures, Live dashboard
**Complete system = 360° order flow vision!**
🎓 QUICK INTERPRETATION
**CVD Oscillator:**
• +5% to +10% = Moderate bullish
• +10% and above = STRONG bullish
• -5% to -10% = Moderate bearish
• -10% and below = STRONG bearish
• Near 0 = Neutral / Consolidation
**Pressures:**
• Large green zones = Dominant buying
• Large red zones = Dominant selling
• Balanced = Indecision
**Dashboard:**
• 🟢 Bullish + 🚀 BUY = Strong LONG signal
• 🔴 Bearish + 💥 SELL = Strong SHORT signal
• Massive positive delta = Bullish momentum
• Massive negative delta = Bearish momentum
⚠️ DISCLAIMER
Technical indicators are decision support tools. No indicator guarantees profits. Always use:
• Appropriate risk management
• Stop loss on every trade
• Proper position sizing
• Demo account testing first
Order Flow Dashboard improves your analysis but doesn't replace a complete strategy.
🚀 INSTALLATION
1. Copy the Pine Script code
2. Open Pine Editor in TradingView
3. Paste the code
4. Click "Add to Chart"
5. Indicator displays in separate pane (below)
6. Configure parameters to your preferences
7. Combine with Order Flow Signals for complete system!
💡 USAGE TIPS
**Golden Rule for Holding Trades:**
→ LONG: Keep as long as CVD Osc > 0
→ SHORT: Keep as long as CVD Osc < 0
**Strength Signals:**
→ CVD Osc > +10% = Very bullish
→ CVD Osc < -10% = Very bearish
**Trend Change:**
→ CVD Osc crosses 0 = Potential change
→ + Extreme background = Strong confirmation
📞 CONTACT AND SUPPORT
Created by Alphaomega18
For questions, bugs or suggestions:
Find my other indicators:
• Order Flow Signals (signals on chart)
• VWAP Multi-Timeframe Pro
• Fair Value Gap Detector
• Volume & Volatility Crisis Detector
Omni-Trend Analytics + Live PnL DashboardOverview
The Omni-Trend Analytics suite is an all-in-one technical command center. It integrates the battle-tested UT Bot signal logic with a sophisticated real-time dashboard, session tracking, and multi-timeframe trend analysis.
📊 The "Nexus" Dashboard
The heart of this script is the 6-row dynamic dashboard, designed to give you "at-a-glance" confluence:
RSI & RSI-MA: Tracks the standard RSI alongside a custom RSI-based Moving Average to spot momentum shifts before they hit the price.
Selectable Trend Status: Unlike static indicators, you can toggle the "Trend" source between EMA 9, 20, or 200 in the settings to match your trading style (Scalping vs. Swing).
Distance to EMA: Shows exactly how "overextended" the price is from your selected trend line.
ATR Volatility (Color-Coded): Turns Green when volatility is expanding (ideal for trend following) and Red when the market is contracting (ideal for range-trading or caution).
Live PnL Tracking: Automatically calculates the profit or loss of the most recent UT Bot signal in real-time.
🛠️ Key Features & Settings
Precision Signals: Combines UT Bot Buy/Sell labels with RSI "!" reversal warnings for high-probability entries.
Institutional Moving Averages: Includes 5 SMAs (including the 610 SMA) and 3 EMAs (9, 20, 200) all set to a professional Thickness 2 for clarity.
Session Highlighting: Automatically shades the background for London and New York sessions to help you trade when liquidity is highest.
VWAP Integration: Includes a purple VWAP line to ensure you are trading at a "fair value" relative to volume.
🔔 Strategic Alert Suite
The script comes pre-loaded with 6 specialized alert conditions:
UT Bot Signal: Standard entry alerts.
RSI Cross RSI-MA: Early warning for momentum reversals.
High-Prob UT + VWAP: Signals that only trigger when aligned with institutional volume.
EMA 9/20 Momentum Cross: Classic trend-shift notification.
ATR Volatility Spike: Alerts you to 50% increases in market volatility.
PnL Target / Break-Even: Pings you when your live trade reaches a user-defined profit threshold.
💡 Trading Pro-Tip
The Convergence Strategy: Look for a UT Bot Buy signal that occurs during the London/NY Overlap while the ATR is Green (expanding) and the RSI is crossing over its RSI-MA. This "triple confluence" is the primary design intent of the Omni-Trend suite.
Ultimate Confluence Oscillator PROUltimate Confluence Oscillator PRO
Multi-indicator momentum confluence with real-time bias, divergence, and expansion detection — all in one oscillator.
Ultimate Confluence Oscillator PRO is a professional-grade momentum indicator that combines RSI, Stochastic, MACD, divergence analysis, and higher-timeframe context into a single, clean oscillator designed for fast, confident decision-making.
Built for crypto, forex, futures, and equities, it helps traders identify when momentum conditions are aligned and when the market is transitioning from compression into expansion.
🔍 What This Indicator Does
Combines RSI, Stochastic, and MACD into a unified confluence framework
Highlights momentum agreement and disagreement across indicators
Detects momentum divergence using both RSI and MACD
Identifies compression → expansion conditions
Incorporates higher-timeframe trend context for directional awareness
📌 Real-Time Momentum HUD (Built-In)
The indicator includes a locked, on-chart information panel that updates in real time:
Current RSI value
Current Stochastic value
Automatic market state classification
Bullish
Bearish
Neutral
This allows traders to instantly evaluate momentum at any candle without switching indicators or performing manual checks.
Hover → Read → Decide.
📈 Signals & Alerts
Confluence-based BUY / SELL markers
Custom alert conditions for:
Strong momentum confluence
RSI divergence
MACD divergence
Alerts are informational and designed to support — not replace — a trading plan.
⚙️ Key Features
Non-repainting logic
Works on all timeframes
Clean visuals optimized for fast decision-making
Fully adjustable inputs
Suitable for scalping, intraday, and swing trading
🎯 Best Use Cases
Momentum confirmation before entries
Filtering low-quality setups in choppy markets
Identifying early expansion after consolidation
Aligning lower-timeframe trades with broader momentum context
⚠️ Disclaimer
This indicator is a technical analysis tool and does not provide financial advice. Always use proper risk management and your own trading plan.
MACD with Buy/Sell SignalsThe MACD (Moving Average Convergence Divergence) is a momentum indicator that shows the relationship between two exponential moving averages (EMAs) of a security's price. It consists of three key components:
configured to display o main chart
Sniper V53 - Forex Reactive + DashboardRSI + OBV calculation on 4 time frames for trend changes.
The indicator warns of possible trend changes; use additional confirmations for areas of interest.
Stochastic X-Score Signal📊 Stochastic X-Score Signal
This indicator is designed to analyze market momentum, direction, and strength in a single tool.
It combines Z-Score, Stochastic, Trend Filter, ADX/DI, and Volume to filter out high-quality trading signals.
🎯 Key Highlights
Measures price deviation using Z-Score
Converts data into Stochastic (0–100) to identify Overbought / Oversold
Uses HMA + ALMA to separate short-term momentum from long-term trend
Offers 4 signal sources, adjustable to different trading styles
Includes a Trend Filter to distinguish with-trend vs against-trend signals
Confirms real market strength with ADX/DI and Volume Gauge
⚙️ Signal System
🔺 BUY / 🔻 SELL from Reversal, Z-Score, ALMA, or MA Cross
With-trend signals = darker colors (stronger confirmation)
Against-trend signals = lighter colors (higher risk)
📊 Signal Quality Confirmation
ADX > 25 = strong trend
DI+ / DI- defines trend direction
Volume Candles clearly show buy vs sell pressure
🎨 Visualization
On-chart signals (Triangles + Bar Colors)
Indicator panel: Z-Score Histogram, Oscillator, ALMA, OB/OS zones
Gauge table for instant trend strength reading
🔔 Alerts Included
Bullish / Bearish (with-trend & against-trend)
MA Golden / Death Cross
Strong / Weak Trend alerts
High Buy / Sell Volume alerts
💡 Best For
Trend & Pullback traders
Traders who prefer one powerful indicator instead of many
Those who need signals with full market context
⚠️ This indicator is a market analysis tool and does not guarantee profits.
Always apply proper risk management when trading.
💬 Interested in our Indicator? Feel free to contact us via INBOX
📱 Facebook Page: Overdue Logic Indicator
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