VSA ProDescription
VSA (Volume Spread Analysis) implements Richard Wyckoff's methodology for reading market manipulation through the relationship between volume, price spread (range), and close position within the bar. Detects climactic action, professional accumulation/distribution, and supply/demand imbalances.
Cari skrip untuk "demand"
Smart Money Confluence Heatmap [PhenLabs]📊 Smart Money Confluence Heatmap
Version: Pine Script™ v6
📌 Description
The Smart Money Confluence Heatmap is a professional‑grade Smart Money Concepts indicator designed to identify high‑probability institutional trading zones. It merges multiple advanced market factors into a single confluence score, allowing traders to focus only on areas that matter. By synthesizing Fair Value Gaps, Order Blocks, Liquidity Sweeps, Volume Strength, and Market Structure, this script removes subjective bias and replaces it with data‑driven confirmation.
🚀 Points of Innovation
Unified confluence scoring system combining five institutional concepts
Adaptive ATR‑based zone sizing for volatility‑adjusted precision
Automatic trend and structure alignment scoring
Volume‑validated Order Blocks and Liquidity Sweeps
Probability‑ranked zones instead of static levels
🔧 Core Components
Fair Value Gap detection with imbalance strength scoring
Order Block identification confirmed by displacement and volume
Liquidity sweep analysis using wick depth and volume expansion
Volume strength modeling for accumulation and distribution phases
Market structure confirmation using BOS and directional bias
🔥 Key Features
Confluence heatmap zones graded by bullish and bearish probability
Minimum score filtering to remove low‑quality setups
Automatic risk‑to‑reward based TP and SL projections
Entry alerts when price taps validated institutional zones
🎨 Visualization
Color‑graded heatmap zones representing probability strength
Percentage score labels with component icons
On‑chart dashboard displaying market bias and structure state
✅ Best Use Cases
Liquidity sweep reversals at key structure levels
Trend‑aligned pullbacks into institutional zones
Intraday and swing trading using confluence confirmation
⚠️ Limitations
Not designed for low‑liquidity or extremely ranging markets
Confluence does not guarantee outcomes and requires risk management
💡 What Makes This Unique
Objective probability scoring instead of subjective SMC interpretation
Multi‑layer institutional confirmation in a single indicator
Built for traders who demand clarity, not chart clutter
💡 Note:
This indicator is for educational purposes only and should always be used alongside proper risk management and higher‑timeframe context.
Gold Chop MeterWhat it does
It’s a market quality filter. It does NOT tell you direction.
It tells you when Gold is too compressed/choppy to trust clean expansions.
NORMAL = tradable conditions
CHOP = compressed / messy conditions
NO TRADE (30M BOX) = hard stop (30M is CHOP)
NO TRADE (HTF CHOP) = hard stop (majority of higher TFs are CHOP)
How to read the panel (left → right)
You’ll see:
1H: NORMAL/CHOP | 30M: NORMAL/CHOP | 15M: NORMAL/CHOP | 5M: NORMAL/CHOP | TRADE/NO TRADE
The rules (exact)
If 30M = CHOP → NO TRADE (30M BOX)
This is your strongest filter. Don’t fight it.
If 30M isn’t CHOP, then it checks majority:
Default: 1H + 30M + 15M
If 2 of 3 are CHOP → NO TRADE (HTF CHOP)
If those are not true → it prints TRADE
If 15M is CHOP but 30M is NORMAL, it prints:
“TRADE (CAUTION – 15M CHOP)”
That means: trade smaller, quicker, or wait for cleaner trigger.
Settings you actually need to touch
1) Profile
Auto (by session) = best for most days (it changes the threshold by time window)
NYO / Overnight / London profiles are there if you want to force one behavior.
2) ATR Length (fixed)
Default 4 is good for Gold.
If it’s too sensitive (flips CHOP too often), raise to 5.
If it’s too slow (stays NORMAL when price is dead), drop to 3.
3) Include 5M in majority filter? (default OFF)
OFF = cleaner, less restrictive (recommended)
ON = stricter filter (needs 3 of 4 to be CHOP for “HTF CHOP” but 5M influences the count)
How to use it with your purge strategy (simple playbook)
When it says TRADE
You’re allowed to execute your normal model:
Sweep → displacement / CHoCH → first return → run
When it says TRADE (CAUTION – 15M CHOP)
Still tradable, but:
take A+ only
smaller size
quicker TP, don’t expect runners
demand a cleaner trigger (strong displacement)
When it says NO TRADE
You don’t force entries.
What you do instead:
wait for 30M to flip back to NORMAL
or wait for a clear range break + retest that turns the environment back to expansion
Quick “decision cheat”
30M CHOP? → Stop. No trade.
2/3 HTFs CHOP? → Stop. No trade.
Only 15M CHOP? → Trade, but cautious.
All NORMAL? → Green light.
VPH - Volume Profile Heatmap (Visible Prices) [Da_Prof]The Volume Profile Heatmap (VPH) indicator is a dynamic volume visualization tool. Unlike traditional Volume Profiles that aggregate all historical data within a range, VPH focuses on recent price action. Specifically, it only considers the volume of the most recent time price touched a level. Additionally, it displays the volume as a heatmap where color intensity directly translates to volume density at specific price levels (as a percentage of the volume range).
What makes the VPH different than other volume profile indicators is its exclusion logic. If a high-volume node was created in the past, but the price has since crossed back through that level, the indicator disregards the previous volume. Therefore, it prioritizes the most recent market participants at any given price level. This is particularly useful for identifying:
1) Fresh Support/Resistance: Levels where volume has accumulated recently without being invalidated by a price cross-through.
2) Real-time Liquidity: Seeing exactly where the supply and demand reside in the current market structure in terms of volume transacted for the particular asset.
Main Features:
1) Dynamic Heatmap: Uses a multi-stage blue color gradient to represent volume intensity. Brighter, more vibrant cyan indicates high-volume nodes, while deep blues represent lower-activity zones. These default colors are best viewed on a black background. The colors can be customized through the settings.
2) Visible Range Scaling: The indicator automatically calculates the High and Low of your current screen view and adjusts the heatmap rows to fit perfectly within your visible window. Note: Ensure the indicator is pinned to the appropriate scale (likely the right scale). If the profile appears to not move when moving the chart, right click on the indicator and select the "pin to scale" to pin it to the appropriate scale.
3) Adjustable Resolution: Use the Number of Profile Bars input to increase the "granularity" of the heatmap (up to 400 rows).
4) Volume Thresholding: The Minimum Volume to Plot setting allows you to filter out "noise," showing only the price levels where significant market commitment occurred. The default is set at 50% of the range maximum.
How to use:
1) Identify high volume nodes: Look for the brightest cyan boxes. These represent price levels where the most recent heavy trading occurred. These areas are more likely to create a price reaction.
2) Spot thinly traded areas: Darker or empty areas indicate "low volume Nodes," where price moved quickly through. These often act as "vacuum" zones where price might travel through rapidly in the future.
3) Scroll & zoom to get the exact window of price action: The indicator is fully reactive. As you move your chart, it recalculates the heatmap based on the visible bars to provide a localized view of the current auction. This allows back testing of the indicator without using the "Replay" feature. Just put the historical price action you are interested in on your screen and the indicator will calculate the volume profile.
jitfxjitfx
This indicator plots Central Pivot Range (CPR) along with daily Support & Resistance levels up to 5 levels directly on the price chart. It is designed for intraday and positional traders who want a clean, rule-based structure for market bias, entries, and targets.
Features
Today’s CPR (Pivot, BC, TC)
Next Day CPR calculated from the completed daily candle (useful after market close)
Support & Resistance levels: S1–S5 and R1–R5
On/Off toggles for CPR, Next Day CPR, and S/R levels
Plots neatly on the price chart (overlay)
How to Use
Price above CPR → bullish bias
Price below CPR → bearish bias
Narrow CPR → potential breakout day
Wide CPR → range-bound / mean reversion
Use R levels as potential resistance/targets and S levels as demand/bounce zones
Best For
Index & stock intraday trading
Pre-market planning using Next Day CPR
Identifying structure, bias, and objective targets
Macro Stress Monitor (USDJPY + JGB + Yield Curve)
# **Note‑Style Description**
This indicator provides a consolidated framework for monitoring two of the most systemically important channels of global USD liquidity transmission: **offshore USD funding conditions in Japan** and **front‑end U.S. rates stress linked to repo and collateral dynamics**. While TradingView does not supply direct access to cross‑currency basis swaps or repo benchmarks, the script employs market‑validated proxies that closely track the same underlying pressures observed in dealer balance‑sheet constraints, FX‑hedged flows, and Treasury funding markets.
### **1. USD/JPY Funding Pressure (Basis‑Swap Proxy)**
The USD/JPY cross‑currency basis is a primary indicator of offshore USD funding premia for Japanese banks, insurers, and real‑money accounts. Basis widening typically reflects elevated USD demand, reduced hedge ratios, and impaired FX swap market liquidity.
To approximate this behavior in real time, the indicator combines:
- **USDJPY spot**, which tends to accelerate higher during USD funding stress, FX swap dislocations, or shifts in BOJ/Fed policy differentials.
- **JP10Y (Japan 10‑year yield)**, which captures JGB‑market stress, duration‑hedging flows, and the impact of FX‑hedged UST carry dynamics on domestic rates.
The joint behavior of these two series provides a high‑signal proxy for USD/JPY basis conditions, particularly around quarter‑end, fiscal year‑end, and BOJ policy events.
### **2. U.S. Front‑End Curve Stress (Repo/Collateral Proxy)**
Stress in the U.S. repo market often manifests first in the front end of the Treasury curve, where funding volatility, collateral scarcity, and dealer balance‑sheet compression drive rapid curve distortions.
The indicator tracks:
- **US02Y – US10Y (2s10s spread)** as a public‑market proxy for repo tightness, GC specialness, and leveraged Treasury basis‑trade unwind risk.
A deeper inversion or accelerated flattening of the 2s10s curve frequently coincides with rising funding premia, increased margin requirements, and deleveraging across rates‑sensitive strategies.
### **3. Stress Diagnostics**
The script highlights three conditions that historically align with elevated cross‑asset fragility:
- **USDJPY > 20‑day SMA** — proxy for USD funding stress / basis widening
- **JP10Y < 20‑day SMA** — proxy for JGB‑market stress or hedging‑related duration flows
- **2s10s < –0.50** — proxy for front‑end funding pressure and repo‑related curve distortions
These are not directional trading signals. They are **liquidity‑risk diagnostics** intended to identify periods when global funding markets become more vulnerable to synchronized deleveraging.
### **4. Intended Use Case**
This tool is designed for macro practitioners, cross‑asset strategists, and risk managers who monitor:
- USD funding premia and cross‑currency basis dynamics
- FX‑hedged UST flows and Japanese institutional positioning
- Treasury basis‑trade leverage and repo‑driven volatility
- BOJ/Fed policy interactions and quarter‑end balance‑sheet effects
- Systemic liquidity conditions across FX, rates, and credit
The indicator provides a real‑time dashboard for identifying early‑stage liquidity stress that may precede broader cross‑asset volatility.
Volume vs Range Imbalance DetectorDescription :-
Concept :-
This indicator is designed to identify "Effort vs. Result" anomalies in the market using Volume Spread Analysis (VSA) concepts. It highlights specific candles where high trading activity (Volume) is occurring, but the price movement (Range) is restricted. This behavior often signals the presence of heavy absorption by buyers or sellers ("Smart Money" activity) before a potential reversal or continuation.
How It Works :-
The script combines two distinct methods of volume analysis into a single view
1. Structural Imbalance (Lime & Red Signals)
This logic detects major market anomalies by comparing the current candle against a 50-period average context.
The Logic: A signal is generated if the Volume is significantly higher than the average (default 1.618x the 50 SMA) AND the Price Range is significantly smaller than the average (default 1.272x the 50 ATR).
Lime Candle/Dot (Bullish Absorption): Massive volume with small range, closing in the upper 50% of the bar. This suggests sellers are dumping, but buyers are absorbing all orders, preventing the price from dropping.
Red Candle/Dot (Bearish Blockade): Massive volume with small range, closing in the lower 50% of the bar. This suggests buyers are pushing, but sellers are absorbing the demand, preventing the price from rising.
2. Hidden Activity (Orange Signals)
This logic is more sensitive and compares the current candle only to the previous candle.
The Logic: A signal is generated if the current Volume is higher than the previous bar's volume, but the current Range is smaller than the previous bar's range.
Orange Candle/Dot: This indicates "Churn." Effort is increasing, but the result (movement) is decreasing. It is often an early warning sign of congestion or a pending breakout.
Visual Guide
Lime Dot (Below Bar): Strong Buying Pressure (Bullish Imbalance).
Red Dot (Above Bar): Strong Selling Pressure (Bearish Imbalance).
Orange Dot (Above Bar): Hidden Activity / Churn (Warning).
Settings
Context Length: The lookback period for the moving averages (Default: 50).
Volume/Range Multipliers: Determine how strict the "Imbalance" signals are. Higher numbers result in fewer, more significant signals.
Show Hidden Activity: Toggle the orange signals on or off.
Disclaimer
This tool is for educational purposes only. Volume analysis is subjective and should be used in conjunction with other form
Nuh's Complete Multi-Timeframe Dashboard v4.0Nuh's Complete Multi-Timeframe Dashboard v4.0 - Unified Power System
Professional Multi-Timeframe Technical Analysis Dashboard
Nuh's Complete Multi-Timeframe Dashboard v4.0 represents a comprehensive trading analysis system that unifies 20 powerful technical indicators across up to 6 customizable timeframes into a single, intelligent dashboard. This advanced indicator combines trend analysis (EMA, Alpha Trend, SuperTrend, ADX, DI), momentum oscillators (RSI, Stochastic RSI, MACD, CCI, Williams %R, WaveTrend, KST), volume indicators (OBV, CMF, Volume Analysis, MFI), and volatility measures (Squeeze Momentum, Bollinger Bands, ATR, Williams VIX Fix) to provide traders with a holistic market perspective. Each indicator can be independently enabled or disabled, allowing complete customization based on your trading strategy and preferences.
The revolutionary Weighted Power System is the core innovation of this dashboard, transforming raw indicator signals into actionable market power scores. Unlike traditional dashboards that simply count bullish or bearish signals, this system applies sophisticated weighting to each indicator based on your chosen preset (Balanced, Trend Focus, Momentum Focus, Volume Focus) or custom weights. It then combines these weighted signals across multiple timeframes—with timeframe-specific weighting for scalping, day trading, or swing trading styles—to calculate an Overall Market Power score. This provides you with clear percentage-based bullish and bearish power readings, eliminating guesswork and enabling confident trade decisions backed by mathematical confluence.
Built for serious traders who demand precision and flexibility, the dashboard features a fully customizable display with 20 indicator rows that can be reordered to match your preferences, color-coded gradient visualization for instant market sentiment recognition, and integrated Wundertrading-compatible alerts for automated trading. The system supports both legacy count-based alerts and modern power-threshold alerts, allowing you to receive notifications when market conditions meet your specified confluence requirements. Whether you're scalping on lower timeframes or swing trading on higher timeframes, this professional-grade tool adapts to your trading style while maintaining clean, readable visualization that won't clutter your charts.
Smart Money Zones - Multi-Timeframe AnalysisA clean and efficient smart money concepts indicator designed for traders who follow institutional order flow and price imbalances.
Core Features:
Fair Value Gaps (FVG): Automatically detects bullish and bearish imbalances where price moved too fast, leaving gaps that often get filled
Order Blocks (OB): Identifies the last bearish candle before a bullish move (and vice versa) - institutional accumulation/distribution zones
Zone Strength Rating: Each zone is classified as Very Strong, Strong, Medium, or Weak based on size relative to ATR
Multi-Timeframe Trend Panel: Real-time dashboard showing bullish/bearish trend across 7 timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D)
Smart Features:
Zones automatically extend into the future
Mitigation tracking - zones fade when 50% filled or fully violated
Optional trend filter - only shows zones aligned with the trend
Customizable zone limits to keep your chart clean
Adjustable panel position (4 corners) and size
Color-Coded Zones:
🟢 Bullish FVG (Green) - Support zones
🔴 Bearish FVG (Red) - Resistance zones
🔵 Bullish OB (Blue) - Demand zones
🟠 Bearish OB (Orange) - Supply zones
Perfect for scalpers, day traders, and swing traders who trade reversals at key institutional levels. Combines smart money concepts with multi-timeframe confirmation for higher probability setups.
FPT - Dark Cloud & Piercing FPT – Dark Cloud & Piercing (GAP) is a minimalist candlestick pattern indicator designed to highlight classical two-candle reversal formations with strict gap requirements.
This tool focuses purely on price action and avoids unnecessary filters or conditions.
🔹 Patterns Detected
Bullish Piercing Line
First candle: Bearish
Second candle: Bullish
Second candle opens with a gap down
Close penetrates above the midpoint of the first candle’s real body
Does not fully engulf the first candle
Bearish Dark Cloud Cover
First candle: Bullish
Second candle: Bearish
Second candle opens with a gap up
Close penetrates below the midpoint of the first candle’s real body
Does not fully engulf the first candle
Only the pattern-forming candle (second candle) is highlighted to keep the chart clean and readable.
🎨 Customization
Enable Bullish, Bearish, or Both patterns
Fully customizable colors for each pattern via Inputs → Colors
Style tab colors are intentionally not used to avoid confusion
🎯 Design Philosophy
No indicators
No volatility or size filters
No trend assumptions
Just pure candlestick structure, exactly as defined in classical technical analysis.
This indicator is ideal for traders who combine:
Key levels
Supply & demand zones
Market structure
Session-based or discretionary analysis
⚠️ This indicator is a visual tool only and does not provide trade signals by itself.
Always use proper risk management.
4H Pivot Levels# 4-Hour Pivot Levels - Quick Guide
## What It Does
Displays 4-hour pivot support and resistance levels on any timeframe chart with clear BUY (green) and SELL (red) labels.
## Installation
1. Open TradingView Pine Editor
2. Paste the script code
3. Save and "Add to Chart"
## Understanding the Levels
**Pivot Point (P)** - Yellow line, central reference point
- Price above = bullish bias
- Price below = bearish bias
**Support Levels (S1, S2, S3)** - Green "BUY" labels
- Demand zones where price may bounce up
- Use as long entry targets or short exit points
- S1 strongest, S3 weakest
**Resistance Levels (R1, R2, R3)** - Red "SELL" labels
- Supply zones where price may reverse down
- Use as short entry targets or long exit points
- R1 strongest, R3 weakest
## How to Use
**For Longs:**
- Buy near green support levels
- Target red resistance levels or pivot
- Stop loss below the support level
**For Shorts:**
- Sell near red resistance levels
- Target green support levels or pivot
- Stop loss above the resistance level
**For Ranging Markets:**
- Buy support, sell resistance
- Use pivot as mid-range guide
## Settings
**Display:** Toggle pivot point, support, or resistance on/off
**Line Extension:** Adjust how far lines project forward (default: 50 bars)
**Colors:** Customize pivot (yellow), support (green), resistance (red)
**Style:** Change line width (1-5) and style (solid/dashed/dotted)
## Tips
- Works on any timeframe but best on 15min-4H charts
- R1/S1 are typically the strongest levels
- Always use with price action confirmation and stop losses
- Levels update every 4 hours based on previous 4H candle
- Combine with volume and other indicators for best results
## Quick Strategy
1. Identify the trend (above/below pivot)
2. Wait for price to approach a level
3. Look for confirmation (candlestick pattern, volume)
4. Enter with stop beyond the level
5. Target next level or pivot point
Quant-Action Pro: Triple Confluence EngineQuant-Action Pro: Triple Confluence Engine
Systematic Framework for Structural Price Action Analysis
Quant-Action Pro is a high-performance analytical engine designed to synchronize institutional liquidity flow with market geometry. Instead of traditional "signals," this framework identifies Structural States where three independent algorithmic layers align, providing a objective roadmap for the current price action context.
1. Core Algorithmic Matrix
The engine operates by monitoring the interaction between price and three proprietary logic layers:
A. Institutional Flow Node (SP2L) —
Logic: Monitors "Passive Liquidity Absorption" at the 20-period EMA.
Function: Identifies zones where institutional buyers/sellers are defending the trend's equilibrium. This is not a simple touch; it requires a validated "Touch-and-Hold" sequence.
B. Structural Flip Scanner (BTB) —
Logic: Detects the transition from old supply to new demand (S/R Flip).
Function: Uses a 3-phase Break-Test-Break verification to confirm that a structural breakout is backed by volume, reducing the risk of "Fake-outs."
C. Liquidity Compression Monitor (Micro Map) —
Logic: Statistical range-contraction analysis (Volatility Squeeze).
Function: Signals a High-Density State where price is coiling for an expansion move.
2. The Golden State: Triple Confluence Logic
The GOLD label represents the "Apex" of this engine. It is triggered only when the SP2L, BTB, and Micro Map layers synchronize on a single candle. In structural terms, this means:
Trend Defense (SP2L) is active.
Structural Breakout (BTB) is confirmed.
Volatility Expansion (MM) is imminent.
This Triple-Layer filtering ensures that Golden Signals only appear during periods of maximum market conviction.
3. Professional Implementation (Structural View)
MTF Trend Matrix: A built-in dashboard provides a 1H, 4H, and 1D diagnosis to ensure local setups align with the Macro Trend.
Smart Invalidation (Adaptive Trendlines): The engine draws dynamic geometry to define the current "Structural Floor/Ceiling." A decisive close beyond these lines acts as a clear Invalidation Point for the current thesis.
Mean Reversion: The system uses the 200-EMA as the primary directional filter, defining whether the market is in a "Bullish Expansion" or "Bearish Correction" state.
⚠️ Risk Disclaimer
Trading financial instruments involves significant risk. Quant-Action Pro is an educational tool designed for research and structural analysis. It does not provide financial advice. Past performance is not indicative of future results. Always use strict risk management.
SCOTTGO - Float, Change %, Vol & RVol DataFloat, Vol & Short Data Dashboard
Overview
The Float, Vol & Short Data Dashboard is a professional-grade monitoring tool designed for equity traders who need to track supply, demand, and momentum in real-time. By aggregating float size, relative volume, and short-selling activity into a clean, customizable table, this script helps you identify high-conviction trade setups without cluttering your price chart.
Key Metrics Included
Float: (Shares) – Instantly see the available supply of shares to gauge potential volatility.
Change %: (From close) – Tracks the percentage gain/loss since the previous day's closing price.
Change %: (From open) – Monitors intraday strength by calculating the move from the 9:30 AM EST market open.
Volume: – Displays current daily volume with automated formatting (K, M, B).
RVOL: (Daily) – Relative Volume compared to a 10-day SMA; essential for spotting "volume-fueled" breakouts.
Short %: (Approx.) – Calculates the daily Short Volume Ratio (Short Volume / Total Volume), providing a real-time proxy for short-seller sentiment.
Professional Customization
This script was built with a focus on UI/UX:
Three-Row Header System: Features high-contrast main titles with muted-grey sub-titles for maximum readability.
Smart Color Logic: Price changes automatically toggle between green and red, while RVol highlights in orange when activity exceeds 1.5x average.
Adjustable Layout: Change the table position, text size, and background opacity.
Column Spacing: Includes a custom slider to adjust the horizontal gap between data columns, ensuring the dashboard fits any screen resolution.
How To Use
Add the script to your chart and use the Settings menu to toggle metrics or adjust the Column Spacing to your preference. Ideal for day traders and swing traders monitoring US Equities where float and short volume data are most impactful.
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence
Overview
Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing.
Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance.
This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present.
Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels.
Conceptual Framework
Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone.
Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes.
Three core principles guide the design:
Stop distance should adjust in proportion to market efficiency.
Smoothing behavior must respond to regime changes.
Trailing logic benefits from probabilistic context instead of fixed rules.
This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries.
Theoretical Foundation
The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis.
Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate.
Three internal systems operate in tandem:
KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior.
Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments.
KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides.
This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes.
How It Works
Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes:
Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity.
Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls.
Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning.
Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive.
Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure.
Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop.
Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering.
Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism.
Interpretation
Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope:
Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves.
Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility.
Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes.
Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal.
Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise.
Distance, efficiency, and context outweigh isolated price interactions.
Signal Logic & Visual Cues
Adaptive ML Trailing Stop presents two primary visual signals:
Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one.
Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals.
Alert generation is limited to confirmed trend transitions to maintain clarity.
Strategy Integration
Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches:
Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits.
Directional Alignment : Base execution on confirmed regime state rather than speculative reversals.
Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends.
Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure.
Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness.
Technical Implementation Details
Core Engine : KAMA-based efficiency measurement with adaptive smoothing
Volatility Model : ATR-derived stop distance scaled by regime
Machine Learning Layer : Distance-weighted KNN with confidence modulation
Visualization : Directional trailing stops with layered gradient fills
Signal Logic : Regime-based transitions and controlled interaction markers
Performance Profile : Optimized for real-time chart execution
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Tight adaptive trailing for short-term momentum control
15 - 60 min : Structured intraday trend supervision
4H - Daily : Higher-timeframe regime monitoring
Suggested Baseline Configuration:
KAMA Length : 20
Fast/Slow Periods : 15 / 50
ATR Period : 21
Base ATR Multiplier : 2.5
Adaptive Strength : 1.0
KNN Neighbors : 7
KNN Influence : 0.2
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering.
Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries.
Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement.
Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change.
Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions.
Performance Characteristics
High Effectiveness:
Markets exhibiting sustained directional efficiency
Instruments with recurring structural behavior
Trend-oriented, risk-managed strategies
Reduced Effectiveness:
Highly erratic or event-driven price action
Illiquid markets with unreliable volatility readings
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend indicators
Discipline : Follow adaptive stop behavior rather than forcing exits
Risk Framing : Treat stops as adaptive boundaries, not forecasts
Regime Awareness : Always interpret stop behavior within efficiency context
Disclaimer
Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Options Volume IndicatorShows the RSI volume based on options volume. Useful for comparing against asset buy and sell signals to see strength of demand for recent options.
Interest ZonesThis indicator automatically identifies and plots "Interest Zones" around significant pivot highs and lows, representing potential areas of institutional interest, support/resistance, or accumulation/distribution. Zones are dynamically merged when pivots cluster near the same price level and extended for visibility.
How It Works (Technical Methodology)
Pivot Point Detection
The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() with asymmetric left/right lengths (default left=20, right=13) to detect swing highs and lows. This allows for customizable sensitivity – longer left for stronger confirmation, shorter right for faster detection.
Zone Start Condition (Filtering)
Multiple modes control from which point in history zones begin to be drawn:
"None": All historical pivots (limited by max zones).
"Auto (Start of Day)": Zones only from the beginning of the current trading day (resets daily).
"Manual Date": User-defined fixed date.
"Interactive (Chart)": User-confirmed date via input (useful for backtesting specific periods).
"Last X Bars": Only pivots within the last user-defined number of bars (default 400).
A vertical line marks the start point in date-based modes for visual reference.
Zone Construction
For each valid pivot:
Zone thickness is based on ATR(14) × user-defined multiplier (default 0.3) for dynamic, volatility-adjusted height.
Pivot High zones: Centered below the high (potential supply/resistance).
Pivot Low zones: Centered above the low (potential demand/support).
Zones are drawn as boxes extending to the right, with gray fill and border.
Merge & Overlap Logic
When a new pivot falls inside an existing zone or is very close (within user-defined "Proximity Sensitivity %" of the zone's midpoint, default 1.1%):
The new pivot is merged into the existing zone.
A counter ("x2", "x3", etc.) is displayed on the zone, indicating how many pivots have clustered there.
The zone is strengthened visually (counter text) and extended further right.
This highlights high-interest levels where price repeatedly reversed.
Zone Management
In "None" mode: Only the most recent user-defined max zones are kept (default 5) – oldest deleted automatically.
In other modes: Up to ~490 zones (performance limit), oldest pruned if exceeded.
All zones auto-extend to the right on the last bar for continuous visibility.
Visual Elements
Uniform gray color for all zones (configurable).
Transparent background fill (adjustable).
Counter text in white (configurable) when zones have multiple touches.
Clean, non-directional design – focuses purely on clustered reversal points.
How to Use
Interest Zones highlight price levels where the market has shown repeated respect through multiple swing pivots – often coinciding with institutional order clusters, psychological levels, or hidden support/resistance.
Higher counter values ("x3+", "x5+"): Stronger zones – higher probability of reaction on retest.
Use for:
Potential reversal or bounce areas when price approaches a zone.
Confluence with other tools (order blocks, FVG, volume profile, etc.).
Stop-loss placement beyond zones or take-profit at opposite zones.
Daily reset ("Auto Start of Day"): Ideal for intraday trading – fresh zones each session.
Backtesting: Use "Manual" or "Interactive" date modes to analyze specific historical periods.
"Last X Bars": Good for medium-term swing analysis without full history clutter.
Adjust ATR multiplier for tighter (lower) or wider (higher) zones based on asset volatility. Increase proximity sensitivity for more aggressive merging in ranging markets.
Combine with trend direction, volume, or higher-timeframe structure for best results.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
HaP MACDHaP MACD - Advanced DEMA Assisted Signal Indicator
Overview
The HaP MACD is an evolution of the classic MACD, designed for traders who demand faster response times and clearer trend visualisations. By integrating DEMA (Double Exponential Moving Average) logic into the standard MACD framework, this indicator filters out noise and highlights momentum shifts with a unique color-coded dot system.
How It Works
The indicator calculates two types of MACD: a standard one for the main lines and a DEMA-based one for signal generation. This dual approach ensures you stay in the trend while being alerted the moment the momentum starts to fade.
Visual Guide & Color Logic
The signal dots are placed directly on the MACD line to guide your decisions:
🔵 Blue Dot: The Entry Signal. Appears when DEMA conditions first align for a bullish move.
🟢 Green Dot: Strong Momentum. The trend is active and the MACD value is increasing.
🟠 Orange Dot: Warning Signal. The bullish trend is still active, but the momentum is slowing down (MACD is lower than the previous bar).
🔴 Red Dot: Exit Signal. The bullish condition has ended. It’s time to consider closing the position or tightening stops.
Key Features
Reduced Lag: DEMA integration provides earlier signals than standard EMA-based MACDs.
Trend Monitoring: Easily distinguish between a healthy trend (Green) and a tiring trend (Orange).
Customizable: Choose between EMA and SMA for both the oscillator and signal calculations.
Crossover Markers: Optional triangle markers for classic MACD crossovers (can be enabled in settings).
Pivot point moving averagesPivot Point Moving Averages builds moving averages from confirmed pivots, not from every bar.
Instead of averaging all highs and lows, this script:
Detects swing pivot highs and pivot lows using a configurable Pivot length (pivotLen).
Converts these sparse pivot prices into continuous series of:
last confirmed pivot low
last confirmed pivot high
Applies a user-selectable moving average (SMA / EMA / RMA / WMA / VWMA) to each of those pivot series.
Plots the two resulting lines and shades the area between them as a pivot value cloud.
Because the lines only move when a new pivot is confirmed, they represent structural acceptance rather than raw volatility. Short “noise” moves and stop hunts between pivots have much less impact on these averages.
You can also enable an optional second pivot MA cloud:
Uses the same Pivot length for structural detection.
Has its own MA length and type.
Can run on a different timeframe (e.g. D, 240, W).
Is projected back onto the current chart so you see local pivot value and higher-timeframe pivot value together.
Why it’s useful
Traditional MAs:
React to every bar.
Move on noise, wicks, and stop runs.
Don’t distinguish between “meaningful” structure and random fluctuation.
This tool uses confirmed pivots, so it is better suited to market structure and phase analysis:
Pivot MA low reflects how demand is stepping up (or down) as new swing lows form.
Pivot MA high reflects how supply is pressing down (or easing) as new swing highs form.
The cloud between them acts as a dynamic, structure-based value area.
Typical interpretations:
Price inside the pivot cloud → balance / fair value area.
Price above the pivot cloud → bullish value expansion.
Price below the pivot cloud → bearish value expansion.
Cloud compressing → possible energy build-up, transition between phases.
Cloud expanding → stronger directional conviction.
With the second cloud enabled on a higher timeframe, you can:
See whether lower-timeframe structure is building with or against the higher-timeframe pivot value.
Use the HTF cloud as a background bias and the LTF cloud for timing and fine-grained context.
Notes
All pivot-based tools have inherent delay: a pivot is only confirmed after pivotLen bars to the right.
On very low timeframes, long pivotLen + long MA lengths will make the lines slower to react.
This is intended as a context and structure tool, not a standalone entry signal.
First Candle Range (FCR) Gold Strategy - EtubersThe 18:00 (6:00 PM) candle is widely used by traders in the Forex and Futures markets because it marks the New York market rollover and the start of the Asian session.
How the Strategy Works:
- The Range: The High and Low prices of the 1-hour candle (18:00–19:00) create a "Supply and Demand" zone.
- The Breakout: A candle closing above the high signals a bullish breakout; a candle closing below the low signals a bearish breakout.
- Institutional Memory: By extending this zone forward for 4 days, traders can identify where "old" 18:00 levels act as support or resistance in the future.
- Execution: Traders often wait for a breakout followed by a "retest" of the box boundary to enter a high-probability trade.
Unmitigated High Low (Day/MTF)
# Unmitigated High Low (Day/MTF)
## Overview
The **Unmitigated High Low (Day/MTF)** indicator tracks previous timeframe highs and lows that remain "unmitigated" (untouched by price) and displays them as dynamic support and resistance levels. By default, the indicator monitors daily highs and lows, making it ideal for intraday traders seeking key institutional levels, though it supports any multi-timeframe (MTF) interval. The indicator extends horizontal lines from each level until price touches them, creating visual "zones of interest" where price action may react.
## What It Does
This indicator identifies and plots two types of levels on your chart:
- **High Levels** (yellow lines) - Previous timeframe highs that price has not yet reached or exceeded
- **Low Levels** (cyan lines) - Previous timeframe lows that price has not yet broken below
Each time a new timeframe period completes (e.g., daily candle closes), the indicator captures that period's high and low and extends them forward as horizontal reference lines. When price finally touches or crosses these levels, they become "mitigated" - the line stops extending, becomes transparent (60% opacity), and is marked as historical.
## Key Features
**Multi-Timeframe Capability**: While defaulting to daily ("D") timeframe, you can switch to any interval (15-minute, 4-hour, weekly, etc.) to match your trading style.
**Band Visualization**: The indicator creates colored bands between the two most recent active levels in each direction - an upper band (purple fill) between the 1st and 2nd unmitigated highs, and a lower band (cyan fill) between the 1st and 2nd unmitigated lows.
**Visual Clarity**: Active unmitigated levels display in full color with customizable line width (default: 2), while mitigated levels fade to 60% transparency, helping you distinguish between current zones and historical references.
## How to Use It
Add the indicator to your chart and observe where unmitigated levels cluster - these zones often act as magnets for institutional order flow. The most recent unmitigated high represents overhead supply/resistance, while the most recent unmitigated low represents underlying demand/support. Traders commonly use these levels for:
- Entry zones when price approaches unmitigated levels with confluent signals
- Stop-loss placement beyond unmitigated levels to avoid institutional sweeps
- Profit targets at the next unmitigated level in the direction of your trade
- Breakout confirmation when price finally mitigates a long-standing level
The colored bands between the 1st and 2nd levels highlight "zones of friction" where price may consolidate or reverse before continuing its trend.
## Settings
**HL interval**: Select your desired timeframe (default: "D" for daily)
**High Line Color**: Color for unmitigated high levels (default: yellow #fff176)
**Low Line Color**: Color for unmitigated low levels (default: cyan #00bcd4)
**Upper Band Fill**: Fill color between 1st and 2nd highs (default: purple #880e4f at 85% transparency)
**Lower Band Fill**: Fill color between 1st and 2nd lows (default: cyan #00bcd4 at 85% transparency)
**Line Width**: Thickness of level lines (default: 2, range: 1-5)
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. 🙏
FVG Heatmap [Hash Capital Research]FVG Map
FVG Map is a visual Fair Value Gap (FVG) mapping tool built to make displacement imbalances easy to see and manage in real time. It detects 3-candle FVG zones, plots them as clean heatmap boxes, tracks partial mitigation (how much of the zone has been filled), and summarizes recent “fill speed” behavior in a small regime dashboard.
This is an indicator (not a strategy). It does not place trades and it does not publish performance claims. It is a market-structure visualization tool intended to support discretionary or systematic workflows.
What this script detects
Bullish FVG (gap below price)
A bullish FVG is detected when the candle from two bars ago has a high below the current candle’s low.
The zone spans from that prior high up to the current low.
Bearish FVG (gap above price)
A bearish FVG is detected when the candle from two bars ago has a low above the current candle’s high.
The zone spans from the current high up to that prior low.
What makes it useful
Heatmap zones (clean, readable FVG boxes)
Bullish zones plot below price. Bearish zones plot above price.
Partial fill tracking (mitigation progress)
As price trades back into a zone, the script visually shows how much of the zone has been filled.
Mitigation modes (your definition of “filled”)
• Full Fill: price fully trades through the zone
• 50% Fill: price reaches the midpoint of the zone
• First Touch: price touches the zone one time
Optional auto-cleanup
Optionally remove zones once they’re mitigated to keep the chart clean.
Fill-Speed Regime Dashboard
When zones get mitigated, the script records how many bars it took to fill and summarizes the recent environment:
• Average fill time
• Median fill time
• % fast fills vs % slow fills
• Regime label: choppy/mean-revert, trending/displacement, or mixed
How to use
Use FVG zones as structure, not guaranteed signals.
• Bullish zones are often watched as potential support on pullbacks.
• Bearish zones are often watched as potential resistance on rallies.
The fill-speed dashboard helps provide context: fast fills tend to appear in more rotational conditions, while slow fills tend to appear in stronger trend/displacement conditions.
Alerts
Bullish FVG Created
Bearish FVG Created
Notes
FVGs are not guaranteed reversal points. Fill-speed/regime is descriptive of recent behavior and should be treated as context, not prediction. On realtime candles, visuals may update as the bar forms.
Delta Grid Delta Grid H/L/C (Approx)
Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart.
Instead of guessing what happened inside a candle, this indicator shows you:
Delta High – the maximum aggressive buying reached within the bar
Delta Low – the maximum aggressive selling reached within the bar
Delta Final – where delta closed when the candle finished
All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior.
How It Works
This indicator approximates intrabar delta by:
Aggregating lower-timeframe volume
Classifying volume direction based on price movement
Tracking the running delta inside each candle
Recording the highest, lowest, and final delta values per bar
A heat-mapped background is applied to the Final Delta column:
Green shades = net aggressive buying
Red shades = net aggressive selling
Brighter colors = stronger imbalance relative to recent bars
Key Features
Stand-alone Delta Grid panel below the chart
Per-bar Delta High / Delta Low / Delta Final
Heat-mapped Final Delta for fast visual interpretation
Optional time column for precise bar reference
Adjustable lookback and scaling settings
Clean layout designed for futures, crypto, and index trading
How Traders Use It
This tool is ideal for:
Spotting absorption at highs and lows
Identifying failed breakouts and traps
Confirming trend strength or exhaustion
Reading order-flow shifts without footprint charts
Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure
Important Notes
This is an approximate delta calculation due to TradingView data limitations.
It does not use true bid/ask volume.
For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required.
Recommended Settings
Use a lower timeframe (1s–15s if available) for better intrabar accuracy
Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
