Hanzo Drex | Key Level EngineHanzo Drex | Key Level Engine™
Precision-calibrated for elite scalpers and institutional traders, this tool automatically maps out the most significant daily and historical key levels—across Today, Yesterday, and up to 10 previous sessions. Built with advanced logic, it filters noise and highlights only price levels that truly matter.
🔐 VIP Only – Invite-Only Access
This version is locked and exclusively available to Hanzo Drex VIPs.
🔧 Features:
Auto-detection of High/Low/Open/Close levels for up to 10 previous trading days
Dynamic combination of overlapping zones using ATR precision
Optional Pre-Market & Monthly levels
High/Low pivot detection engine
Smart labels with adjustable alignment, thickness, and extension
Perfectly designed for breakout traders and liquidity sweep strategies
🧠 Strategy Integration:
Pair this with the Volatility Box, Wick Trap Detector, or Liquidity Sweep Engine for surgical sniper entries on Gold, NAS100, and US30.
Cari dalam skrip untuk "liquidity"
TWAP/VWAP AUTO SHIFTER Bands🟢 TWAP/VWAP AUTO SHIFTER Bands – NinjaTrader Logic + Dynamic Deviation Zones
📌 Overview
This powerful tool combines institution-grade price anchoring (VWAP/TWAP) with adaptive volatility bands and smart zone visualization. The core innovation: a toggleable VWAP logic engine, letting traders switch between:
* 🧠 Standard TradingView VWAP/TWAP
* 🧠 Custom NinjaTrader-style VWAP logic (faithfully ported for Pine Script 6)
Use it to visualize where price is anchored, where trend turns, and where hidden liquidity or mean-reversion zones may be forming.
🎯 What This Script Does
This indicator plots:
1. A central VWAP/TWAP line, anchored to -any timeframe or custom period-
2. Karma trend line using adaptive volatility envelopes
3. Dynamic bands that react to price range, volatility, and momentum
4. Optional range-based zones using Fibonacci-like ratios for structure detection
5. A visual "hidden fill" shading system to highlight bullish or bearish control
🚀 Unique Features
🧮 1. NinjaTrader VWAP Logic (Optional)
When enabled, this mode replaces TradingView’s default VWAP with a custom weighted average based on:
mean = average of ((high + low) and (open + close))
VWAP = sum(mean × volume) / sum(volume)
✔ Gives more stable center in volatile conditions
✔ Matches many institutional VWAP tools
Use the toggle:
☑️ “Use NinjaTrader VWAP Formula”
To activate this precision logic.
🕰 2. Anchor VWAP/TWAP to Any Timeframe
Choose your VWAP anchor from:
* D = Daily
* W = Weekly
* M = Monthly
* Or define your **own custom timeframe** (e.g., “240” or “15”)
This makes it:
⏳ Perfect for day traders anchoring intraday
🧭 Valuable for swing traders observing weekly bias
🧱 Solid for long-term positioning
📊 3. Karma Deviation Line (Trend Pulse)
The Karma line uses an adaptive efficiency ratio + fast/slow deviation logic to track momentum shifts.
* When it crosses above VWAP: possible bullish control
* When it falls below: possible reversion risk
It uses smoothed deviation bands to filter noise.
🎨 4. Hidden Fills & Range Bands
Zone shading makes this one of the most visual VWAP bands indicators out there:
* Red shade = aggressive push above VWAP
* Green shade = price collapsing under VWAP
* White “internal channel” = tight inner value zone
* Purple/gray bands = map structural levels for profit-taking, fading, or breakout watch
🧠 How to Use It
🧩 VWAP Anchoring
* Set timeframe to match your strategy horizon
* Use custom anchor (like 15m, 2h) to match intraday setups
🧠 Ninja Logic
* Enable to use VWAP matching NinjaTrader and institutional backends
* Recommended for high-volume or low-liquidity instruments
📈 Karma Bands
* Look for Karma line breaking VWAP from below → early trend
* Look for Karma curling down inside green zone → mean reversion
📐 Range Zones
* Use shaded fills to visualize exhaustion
* Watch for clean bounces off internal ratios
⚙️Recommended Settings
| Style | Setting |
| -------------------------------| ------------------------------------ |
| VWAP Mode | NinjaLogic ON (for precise behavior) |
| Anchor TF | Daily (or custom intraday like 30m) |
| Deviation | Fast: 50, Slow: 200 |
| Show Range Marks | ON |
| Hidden Zones | ON (for visual clarity) |
🧪 Tested On:
* BTC/ETH/USD
* Nifty Futures
* NASDAQ Stocks
* SPY/QQQ
* Crude Oil and Metals
📝 Author’s Note
Remember that this is an educational idea and past performance is not assurance of future performance.
🟢 Happy Anchoring!
PipTrend Catch Trends Early. Trade with Confidence.
PipTrend is a precision-built trading indicator designed to eliminate guesswork and help traders spot high-probability trend shifts with clarity and speed. Whether you're a beginner or a seasoned trader, PipTrend gives you the tools to read the market like a pro — without needing to decode complex strategies or messy charts.
✅ What PipTrend Does:
Detects trend changes early with real-time signals
Highlights optimal entry zones with clean visual cues
Filters out market noise to help you avoid false signals
Supports multiple asset classes – Forex, Crypto, Indices, and more
Works on any timeframe, from scalping to swing trading
📊 Key Features:
Buy & Sell Signals: Instantly spot when a new trend begins or ends
Trend Continuation Zones: Stay in strong trades longer and avoid premature exits
Visual Clarity: A sleek, clutter-free layout that tells you exactly what matters
Multi-Timeframe Ready: Syncs with the PipTrend Multi-Timeframe Table (optional add-on)
Session Liquidity Zones: Detect where price is most reactive during key market hours
🚀 Why Traders Love PipTrend:
Fast onboarding: Start using PipTrend effectively in minutes, not weeks
Confidence boost: Cut hesitation with reliable signals and consistent logic
Proven performance: Designed with market structure, liquidity, and smart money concepts in mind
Whether you’re looking to stop chasing trades, cut down on emotional decision-making, or gain an edge over retail noise, PipTrend delivers a sharp and intuitive solution tailored for modern trading environments.
🔒 This is an invite-only script. To get access, visit PipTrend.com or email us at support@piptrend.com.
Hidden Orderblock,HOB,OB,BB,MT,MTF Hidden Order Block & Breaker Block (HOB/BB) Multi-Timeframe Analysis
A powerful tool for Smart Money traders and ICT-style practitioners seeking precision, confluence, and clean visual execution. This indicator identifies institutional price zones such as Hidden Order Blocks (HOB), Breaker Blocks (BB), Partial Hidden Order Blocks (PHOB), and traditional Order Blocks (OB)—all across multiple timeframes with minimal chart clutter.
✅ Key Features
1. Hidden Order Block (HOB) Detection
Identifies non-obvious order blocks often hidden within price action.
Requires the EQ (Equilibrium) of the block to pass through at least one Fair Value Gap (FVG).
Invalidation Rule: If price touches the EQ and then closes beyond it (depending on structure), the HOB is invalidated.
2. Breaker Block (BB) Detection
Highlights zones where price made a liquidity grab followed by a strong reversal.
Useful for anticipating support/resistance flips and high-probability reaction areas.
3. Partial Hidden Order Block (PHOB) Detection
A variation of HOBs where price only partially touches the EQ.
Often acts as an early warning zone for reversals or continuation.
Less strict than HOBs, but still institutionally relevant.
4. Traditional Order Block (OB) Detection
Identifies bullish/bearish OBs based on engulfing patterns and displacement.
Marks only the body of the engulfing candle, with the EQ line acting as a key validation/invalidation level.
Once the EQ is touched, the OB is considered invalidated.
5. Engulfing Filter Engine
Customizable logic for OB qualification.
“Easy Engulfing Mode” simplifies detection for newer traders or faster workflow.
Fine-tune aggressiveness and visual clarity with user-defined settings.
6. Multi-Timeframe (MTF) Visualization
Overlay OBs, HOBs, BBs, and PHOBs from higher timeframes (e.g., 4H, 1D) on lower timeframes (15m, 1H).
Enhances top-down confluence without switching charts.
Keeps the visual experience clean and intuitive.
7. Minimalist Visual Design
Only the zone boundaries and EQ lines are displayed.
No extra noise—perfect for both scalpers and swing traders.
Dynamic label positioning and styling for improved chart aesthetics.
8. Performance-Optimized Code
Lightweight, real-time rendering.
Designed for responsiveness—even on lower timeframes with dense historical data.
⚙️ How It Works (Simplified Logic)
Order Block Detection:
Scans for engulfing candles that show displacement.
Defines the OB as the body of the engulfing candle.
EQ line is marked and projected forward until invalidated.
Hidden Order Block Logic:
Starts from a traditional OB, but requires the EQ to pass through at least one FVG.
Upon a close beyond the EQ in the opposite direction, the HOB is invalidated.
PHOB Logic:
Similar to HOBs, but allows partial touches of the EQ before reacting.
Breaker Block Logic:
Identifies liquidity sweeps followed by impulsive moves.
Marks these zones as BBs for potential reaction areas.
📈 Use Cases
Detect institutional price zones with high precision.
Simplify decision-making with visual EQs and MTF overlays.
Integrate seamlessly into:
Smart Money Concepts (SMC)
ICT-style trading
Wyckoff methodology
Discretionary zone-to-zone strategies
🧠 Definitions Summary
OB (Order Block):
Engulfed candle body; EQ is the midpoint of the body. Invalid once EQ is touched.
HOB (Hidden Order Block):
Like OB, but EQ must pass through at least one FVG.
Invalidated when a candle touches EQ and closes beyond it.
PHOB (Partial Hidden Order Block):
Like HOB, but allows partial touch of the EQ to remain valid.
Bear Market Defender [QuantraSystems]Bear Market Defender
A system to short Altcoins when BTC is ranging or falling - benefit from Altcoin bleed or collapse .
QuantraSystems guarantees that the information created and published within this document and on the TradingView platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper-optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post-backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
INTRODUCTION TO THE STAR FRAMEWORK
The STAR Framework – an abbreviation for Strategic Trading with Adaptive Risk - is a bespoke portfolio-level infrastructure for dynamic, multi-asset crypto trading systems. It combines systematic position management, adaptive sizing, and “intra-system” diversification, all built on a rigorous foundation of Risk-based position sizing .
At its core, STAR is designed to facilitate:
Adaptive position sizing based on user-defined maximum portfolio risk
Capital allocation across multiple assets with dynamic weight adjustment
Execution-aware trading with robust fee and slippage adjustment
Realistic equity curve logic based on a compounding realized PnL and additive unrealized PnL
The STAR Framework is intended for use as both a standalone portfolio system or preferred as a modular component within a broader trading “global portfolio” - delivering a balance of robustness and scalability across strategy types, timeframes, and market regimes.
RISK ALLOCATION VIA "R" CALCULATIONS
The foundational concept behind STAR is the use of the R unit - a dynamic representation of risk per trade. R is defined by the distance between a trade's entry and its stoploss, making it an intuitive and universally adaptive sizing unit across any token, timeframe, or market.
Example: Suppose the entry price is $100, and the stoploss is $95. A $5 move against the position represents a 1R loss. A 15% price increase to $115 would equal a +3R gain.
This makes R-based systems highly flexible: the user defines the percentage of capital that is put at risk per R and all positions are scaled accordingly - whether the token is volatile, illiquid, or slow-moving.
R is an advantageous method for determine position sizing - instead of being tied to complex value at risk mechanisms with having layered exit criteria, or continuous volatility-based sizing criteria that need to be adjusted while in an open trade, R allows for very straightforward sizing, invalidation and especially risk control – which is the most fundamental.
REALIZED BALANCE, FEES & SLIPPAGE ACCOUNTING
All position sizing, risk metrics, and the base equity curve within STAR are calculated based on realized balance only .
This means:
No sizing adjustments are made based on unrealized profit and loss ✅
No active positions are included in the system's realized equity until fully closed ✅
Every trade is sized precisely according to current locked-in realized portfolio balance ✅
This creates the safest risk profile - especially when multiple trades are open. Unrealized gains are not used to inflate sizing, ensuring margin safety across all assets.
All calculations also incorporate slippage and fees, based on user-defined estimates – which can and should be based upon user-collected data - and updated frequently forwards in time. These are not cosmetic, or simply applied to the final equity curve - they are fully integrated into the dynamic position sizing and equity performance , ensuring:
Stoploss hits result in exactly a −1R loss, even after slippage and fees ✅
Winners are discounted based on realistic execution costs ✅
No trade is oversized due to unaccounted execution costs ✅
Example - Slippage in R Units:
Let R be defined as the distance from entry to stoploss.
Suppose that distance is $1, and the trade is closed at a win of +$2.
If execution slippage leads to a 50 cent worse entry and a 50 cent worse exit, you’ve lost $1 extra - which is an additional 1R in execution slippage. This makes the effective return 1.0R instead of the intended 2.0R.
This is equivalent to a slippage value of 50%.
Thus, slippage in STAR is tracked and modelled on an R-adjusted basis , enabling more accurate long-term performance modelling.
MULTI-ASSET, LONG/SHORT SUPPORT
STAR supports concurrent long and short positions across multiple tokens. This can sometimes result in partially hedged exposure - for example, being long one asset and short another.
This structure has key benefits:
Diversifies idiosyncratic risk by distributing exposure across multiple tokens
Allows simultaneous exploitation of relative strength and weakness
Reduces portfolio volatility via natural hedging during reduced trending periods
Even in a highly correlated market like crypto, short-term momentum behaviour often varies between tokens - making diversified, multi-directional exposure a strategic advantage .
EQUITY CURVE
The STAR framework only updates the underlying realized equity when a position is closed, and the trade outcome is known. This approach ensures:
True representation of actual capital available for trading
No exposure distortion due to unrealized gains
Risk remains tightly linked to realized results
This trade-to-trade basis for realized equity modelling eliminates the common pitfall of overallocation based on unrealized profits.
The visual equity curve represents an accurate visualization of the Total Equity however, which is equivalent to what would be the realized equity if all trades were closed on the prior bar close.
TIMEFRAME CONSIDERATIONS
Lower timeframes typically yield better performance for STAR due to:
Greater data density per day - more observations = better statistical inference
Faster compounding - more trades per week = faster capital rotation
However, lower timeframes also suffer from increased slippage and fees. STAR's execution-aware structure helps mitigate this, but users must still choose timeframes appropriate to their liquidity, costs, and operational availability.
INPUT OPTIONS
Fees (direct trading costs - the percentage of capital removed from the initial position size)
Slippage (execution delay, as a percentage. In practice, the fill price is often worse than the signal price. This directly affects R and hence position sizing)
Risk % ( Please note : this is the risk level if every position is opened at once. 5% risk for 5 assets is 1% risk per position)
System Start date
Float Precision value of displayed numbers
Table visualization - positioning and table sizes
Adjustable color options
VISUAL SIMPLICITY
To avoid usual unnecessary complexity and empower fast at-a-glance action taking, as well as enable mobile compatibility, only the most relevant information is presented.
This includes all information required to open positions in one table.
As well as a quick and straightforward overview for the system stats
Lastly, there is an optional table that can be enabled
displaying more detailed information if desired:
USAGE GUIDELINES
To use STAR effectively:
Input your average slippage and fees %
Input your maximum portfolio risk % (this controls overall leverage and is equivalent to the maximum loss that the allocation to STAR would bring if ALL positions are allocated AND hit their stop loss at the same time)
Wait for signal alerts with entry, stop, and size details
STAR will dynamically calculate sizing, risk exposure, and portfolio allocation on your behalf. Position multipliers, stop placement, and asset-specific risk are all embedded in the system logic.
Note: Leverage must be manually set to ISOLATED on your exchange platform to prevent unwanted position linking.
ABOUT THE BEAR MARKET DEFENDER STRATEGY
The first strategy to launch on the STAR Framework is the BEAR MARKET DEFENDER (BMD) - a fast-acting, trend following system based upon the Trend Titan NEUTRONSTAR. For the details of the logic behind NEUTRONSTAR, please refer to the methodology and trend aggregation section of the following indicator:
The BMD ’s short side exit calculation methodology is slightly improved compared to NEUTRONSTAR, to capture downtrends more consistently and also cut positions faster – which is crucial when considering general jump risk in the Crypto space.
Accordingly, the only focus of the BMD is to capture trends to the short side, providing the benefit of being in a spectrum from no correlation to being negatively correlated in risk and return behavior to classical Crypto long exposure.
More precisely, Crypto behavior showcases that when Bitcoin is in a ranging/mean reverting environment, most tokens that don’t fall into the “Blue-Chip” category tend to find themselves in a trend towards 0.
Typically during this period most Crypto portfolios suffer heavily due to a “Crypto-long” biased exposure.
The Bear Market Defender thrives in these chaotic, high volatility markets where most coins trend towards zero while the traditional Crypto long exposure is either flat or in a drawdown, therefore the BMD adds a source of uncorrelated risk and returns to hedge typical long exposure and bolster portfolio volatility.
Because of the BMD's short-only exposure, it will often suffer small losses during strong uptrends. During these periods, long exposure performs the best and the goal is to outperform the temporary underperformance in the BMD .
To take advantage of the abovementioned behavior of most tokens trending to zero, assets traded in the BMD are systematically updated on a quarterly basis with available liquidity being an important consideration for the tokens to be eligible for selection.
FINAL SUMMARY
The STAR Framework represents a new generation of portfolio grade trading infrastructure, built around disciplined execution, realized equity, and adaptive position sizing. It is designed to support any number of future methodologies - beginning with BMD .
The Bear Market Defender is here to hedge out commonly long biased portfolio allocations in the Crypto market, specializing in bringing uncorrelated returns during periods of sideways price action on Bitcoin, or whole-market downturns.
Together, STAR + BMD deliver a scalable, volatility tuned system that prioritizes capital preservation, signal accuracy, and adaptive risk allocation. Whether deployed standalone or within a broader portfolio, this framework is engineered for high performance, longevity, and adaptability in the ever-evolving crypto landscape.
GLI [BBS + M2] Fair Value Analysis - RegressionGLI Fair Value Analysis – Regression Forecast
This indicator provides a regression-based fair value model that forecasts asset prices using a custom-built Global Liquidity Index (GLI) derived from central bank balance sheets (BBS) and M2 money supply across major economies.
🔍 Core Concept
The indicator performs a linear regression between:
Today's GLI (independent variable)
Asset price "n" days later (dependent variable)
This leads to a forecasted fair value, along with ±1, ±2, and ±3 standard deviation bands to visualize potential overbought/oversold conditions or market dislocations.
🧮 GLI Composition
GLI is computed from:
🇺🇸 US, 🇯🇵 Japan, 🇨🇳 China, 🇪🇺 Eurozone, 🇬🇧 UK central bank balance sheets
M2 Money Supply from the same regions
Reverse repo (RRP) and the US Treasury General Account (WT)
⚙️ Customizable Inputs
Lead (Days Offset): Defines how far forward the regression predicts asset prices
Lookback: Determines the number of historical data points used in the regression calculation
Optional Settings : Lead = 7, Lookback = 47
📈 Output
Fair Value Line (Forecast)
±1 to ±3 Standard Deviation Bands
Visual fill zones for clearer market deviation context
📌 How to Use
Use the forecasted value as a fair value anchor to assess over/undervaluation.
SD bands serve as a probabilistic range
Especially useful in macro-driven markets and mid-long term strategic positioning.
⚠️ Note
This model is tailored for macro-aware traders and investors. Interpret with market context in mind, as liquidity signals are leading but not always precise in timing.
HTF Candle Display (Evolution FX)HTF Candle Display (Evolution FX)
WHAT IT DOES
This tool overlays a **higher timeframe candle** (like Daily or Weekly) directly on your current lower timeframe chart (like 5m, 15m, 1h). It visually anchors current price action within its broader market context, ideal for traders using multi-timeframe confluence, liquidity mapping, or High-Timeframe-Based decision-making.
KEY FEATURES
Timeframe selection : Choose any higher timeframe (HTF) to display (e.g., D, W, M).
Dynamic candle placement : Position the HTF candle overlay away from price action using distance presets: `Close`, `Near`, `Far`, `Very Far`.
Adjustable thickness : Choose candle body width via `Thin`, `Thick`, or `Thicker` styles.
Fully customisable visuals : Set custom colours for bullish and bearish candles, borders, wicks, and labels.
Highlight box (optional) : Display a semi-transparent box aligned to the HTF candle's real time span.
Label with live countdown : Optionally show a floating label with timeframe info and time remaining in the HTF candle.
Previous candle display : Toggle to show or hide the prior HTF candle for better comparison.
HOW TO USE IT
Select your HTF (e.g., Daily) from the input dropdown.
Use "Distance From Price Action" to shift the visual away from the candles for a cleaner layout.
Adjust "Candle Width" to visually match your preferences.
Optionally toggle:
- "Show Previous Candle"
- "Show Label"
- "Highlight Current Day Price Action Box"
Customise your **colour scheme** to match your charting setup.
Recommended to use on charts like `15m`, `1h`, or `4h` for best visual clarity.
USE CASES
HTF liquidity hunting
Bias framing via daily/weekly structure
Institutional-style trading models
Scalping with macro trend context
Smart Session ConceptSmart Session Concept — Intelligent Trading Session Overlay
Smart Session Concept is designed to detect major reversal points and key price pivots formed on higher timeframes, particularly during high-volume periods of the day — often marking the footprints of institutional orders and whales.
🔍 Key Features:
Displays standard sessions (Asian, London, New York) and allows adding custom time sessions.
Offers two visualization modes:
Time session table
Visual session boxes plotted on the chart
Auto-sync with seasonal time changes (Summer/Winter), supports Daylight Saving Time (DST)
Full flexibility:
Toggle table, boxes, and labels on/off
Customize colors for all session elements
Choose which months are considered summer/winter
💡 Suggested Use Case:
Use Smart Session Sync to pinpoint critical price structures such as:
Peaks and troughs of trending waves
Highs/lows in Wyckoff trading ranges
Liquidity sweeps or untouched liquidity zones
----------------------
Nova SMC Key TimesThe Nova SMC Key Times is a focused TradingView® indicator tailored for futures traders who want clear visual markers at key session transitions. Designed with simplicity in mind, it automatically plots two dashed vertical lines each trading day to highlight the pre-market and official market-open times (adjusted for Micro E-mini S&P 500 and Micro Gold contracts).
Pre-Market Marker: A semi-transparent white dashed line drawn at the start of pre-market activity, helping you observe early liquidity movements and potential order accumulation.
Market-Open Marker: A fully opaque white dashed line at the exact opening bar of the main session, providing a clear reference for breakout attempts and volatility spikes.
Because LSF detects the appropriate timestamps based on the loaded symbol (MES1! or MGC1!), you never need to manually set session times. If applied to other symbols, it remains silent, ensuring that charts stay uncluttered.
You can easily customize line colors to match your visual preferences under the provided style settings. By visually framing these two critical moments each day, Nova LSF helps traders anticipate stop hunts, breakout retests, and initial momentum moves—making it a useful complement to any liquidity-oriented or order-flow strategy.
M2 Lag Correlation | QuantumResearch🧠 M2 Lag Correlation | QuantumResearch
Global M2 vs. Asset Lagged Correlation Dashboard
Measuring delayed macroeconomic impact across regions and asset classes
🌍 Why Is It Unique?
This is the first macro-financial correlation tool on TradingView that tracks and aggregates lagged money supply (M2) data across 20 global economies, FX-adjusted into USD equivalence, and overlays it against your selected chart (BTC, ETH, SPX, etc.).
It does more than just plot macro data — it quantifies the delayed correlation between asset price action and macro liquidity trends, providing a unique macro-lag insight tool for serious analysts and long-term investors.
📌 What It Does:
Computes the global M2 aggregate using 20 region-specific M2 datasets, normalized via local exchange rates
Lets you shift the M2 data forward using a customizable day offset (default: 96D) to model macro lag effects
Calculates rolling Pearson correlation between your charted asset and the lagged M2 line
Outputs correlation scores across four windows:
🟢 30D (Monthly)
🟢 90D (Quarterly)
🟢 182D (Semester)
🟢 365D (Yearly)
➕ Includes a composite Average Score
Displays values in a clean dashboard-style table with color-coded feedback
🔍 Use Cases:
Detect how macro liquidity expansion or contraction influences your asset
Determine the macro lag window — the period after which monetary supply affects asset prices
Validate cycle transitions using data-backed macro alignment
Compare lag response between assets (e.g., BTC vs. ETH vs. NASDAQ)
📊 Macro Lag Insight:
As of recent data:
Bitcoin (BTC) shows the strongest correlation with global M2 at approximately 97 days of lag
Ethereum (ETH) shows its peak correlation around 108 days of lag
These lag values are not static and may evolve over time as macro conditions shift. The script allows users to explore such relationships interactively.
⚙️ Customizable Parameters:
🔄 Offset (Days) – Slide the M2 curve forward to match historical asset reactions
🎨 Color Mode – 8 color palettes to match your visual preferences
📍 Table Position – Place the correlation display wherever you want on your chart
✅ Requirements:
Access to ECONOMICS and FX_IDC feeds on TradingView
Chart timeframe: preferably daily or higher for macro relevance
⚠️ Disclaimer:
Disclaimer: The content on this indicator is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor.
Correlation does not imply causation. This tool offers macro-aligned insight, not direct price prediction. Use it alongside a broader macro and market framework.
Macro Context v1 - NobruzeraaaHMacro Context v1
Advanced Multi-Asset Correlation Analysis for Professional Trading
"In institutional trading, correlation is king. This panel puts the crown on your charts."
Overview
This is a sophisticated real-time market analysis tool that monitors critical institutional correlations across traditional and cryptocurrency markets. This indicator provides traders with actionable insights based on academic research and institutional trading patterns.
Features
- **Multi-Asset Correlation Engine**
- **13 Advanced Analysis Layers** covering macro, crypto, and institutional flows
- **Real-time Correlation Detection** between BTC, equities, bonds, and commodities
- **Institutional Divergence Alerts** for early trend identification
- **Risk Sentiment Analysis** using VIX, DXY, and yield curve data
**Professional Grade Analytics**
- **NDX/SPX vs BTC Correlation** - Critical tech-crypto relationship monitoring
- **VIX Breakout Detection** - Institutional panic (>30) and dangerous complacency (<15) alerts
- **Yield Curve Inversion Monitoring** - Recession signal detection via US10Y-US2Y spread
- **Institutional Flow Tracking** - Real proxies using MSTR/COIN performance
- **DXY Critical Levels** - USD dominance (>105) and weakness (<95) thresholds
**Smart Actionable Signals**
- **Opportunity Detection** in altcoins during confirmed risk-on periods
- **Divergence Warnings** when BTC-Tech correlations break down
- **Volatility Preparation** alerts during market complacency
- **Hedge Recommendations** during institutional flight to quality
Correlation Matrix Monitored
**Traditional Markets**
| Asset | Function | Institutional Significance |
|-------|----------|---------------------------|
| **SPX** | Equity benchmark | Risk-on/off sentiment |
| **NDX** | Tech growth proxy | Innovation capital flows |
| **VIX** | Volatility index | Fear/greed institutional gauge |
| **DXY** | Dollar strength | Global liquidity flows |
| **US10Y-US2Y** | Yield curve | Recession probability |
| **Gold** | Safe haven | Inflation hedge demand |
| **Copper** | Industrial metal | Growth expectations |
**Cryptocurrency Markets**
| Asset | Function | Institutional Significance |
|-------|----------|---------------------------|
| **BTC** | Digital store of value | Institutional adoption gauge |
| **ETH** | Smart contract platform | DeFi institutional interest |
| **BTC.D** | Bitcoin dominance | Crypto capital allocation |
| **USDT.D** | Stablecoin dominance | Risk-off crypto indicator |
| **TOTAL3** | Alt market cap | Retail vs institutional flow |
**Institutional Proxies**
| Asset | Function | Why It Matters |
|-------|----------|----------------|
| **MSTR** | MicroStrategy stock | Corporate BTC holdings proxy |
| **COIN** | Coinbase stock | Crypto institutional gateway |
---
Critical Correlations Detected
**1. Tech-Led Risk-On Confirmation**
**Trigger:** NDX outperforming SPX + BTC rising + VIX declining
**Signal:** Strong institutional appetite for growth assets
**Action:** Opportunity in tech and crypto momentum
**2. BTC-Tech Divergence Warning**
**Trigger:** NDX/SPX ratio positive + BTC declining significantly
**Signal:** Potential institutional crypto exit while maintaining tech exposure
**Action:** Monitor for broader crypto weakness
**3. Institutional Panic Mode**
**Trigger:** VIX > 30 + USDT.D rising + BTC/equities declining
**Signal:** Fear-driven liquidations across all risk assets
**Action:** Wait for clarity, prepare for volatility
**4. Dangerous Complacency**
**Trigger:** VIX < 15 + low volatility across assets
**Signal:** Market complacency reaching dangerous levels
**Action:** Prepare for sudden volatility spike
**5. Yield Curve Recession Signal**
**Trigger:** US10Y-US2Y spread deeply inverted (<-0.5%)
**Signal:** Bond market pricing in economic slowdown
**Action:** Defensive positioning, reduce risk exposure
**6. USD Super-Dominance**
**Trigger:** DXY > 105 + gold declining + risk assets under pressure
**Signal:** Extreme USD strength creating global liquidity stress
**Action:** Monitor emerging market stress, dollar-denominated debt concerns
**7. Altseason Confirmation**
**Trigger:** BTC.D declining + USDT.D declining + TOTAL3 outperforming + low VIX
**Signal:** Capital rotating from BTC to altcoins in risk-on environment
**Action:** Opportunity in alternative cryptocurrencies
---
Advanced Analytics Provided
**Risk Sentiment Classification**
- 🔴 **Fear in System** - Multiple fear indicators triggered
- 🟡 **Cautious Mode** - Mixed signals, proceed carefully
- 🟢 **Risk Appetite** - Confirmed risk-on environment
- 🟢 **Strong Risk-On** - Multiple bullish confirmations
- 🟠 **Dangerous Complacency** - Excessive optimism warning
**Macro Context Analysis**
- 💪 **Dollar Dominant** - USD strength driving global flows
- 🌍 **USD Weakening** - Emerging market and commodity positive
- ⚠️ **Market Stress** - Multiple stress indicators active
- 🚀 **Solid Bull Market** - Confirmed uptrend across assets
- 🏭 **Growth Acceleration** - Copper/Gold ratio signaling expansion
- 🛡️ **Defensive Rotation** - Flight to quality assets
**Actionable Intelligence**
- ✅ **Opportunity in Alts** - Multiple confirmations for altcoin exposure
- ⚠️ **Wait for Clarity** - High uncertainty, avoid new positions
- 🏛️ **Consider Hedge** - Defensive positioning recommended
- 📈 **Ride Momentum** - Trend continuation likely
- 🔍 **Monitor Divergence** - Correlation breakdown warning
- ⚠️ **Prepare for Volatility** - Complacency extreme reached
Technical Implementation
**Data Sources**
- **Traditional Markets:** TradingView real-time feeds
- **Cryptocurrency:** Binance spot prices and market cap data
- **Macro Data:** US Treasury yields, volatility indices
- **Update Frequency:** Every minute during market hours
**Calculation Methodology**
- **24-hour percentage changes** for all assets
- **Real-time price levels** for VIX and DXY thresholds
- **Spread calculations** for yield curve analysis
- **Ratio analysis** for relative performance metrics
**Multi-Language Support**
- 🇺🇸 **English** - Full professional terminology
- 🇪🇸 **Spanish** - Complete translation for Latin American markets
- 🇧🇷 **Portuguese** - Brazilian market terminology
---
Academic Foundation
This indicator is built upon peer-reviewed research and institutional trading patterns:
**Research-Based Correlations**
- **Bitcoin-NASDAQ correlation studies** (2024 academic papers)
- **VIX threshold analysis** from institutional trading desks
- **Yield curve inversion** recession prediction models
- **Dollar index breakout** historical analysis
- **Cryptocurrency dominance** flow studies
**Institutional Insights**
- **Fear & Greed Index** methodology adaptation
- **Professional volatility** threshold implementation
- **Corporate treasury** Bitcoin adoption tracking
- **Institutional proxy** correlation validation
---
Quick Start Guide
**Configuration**
- **Language Selection:** Choose your preferred language
- **Asset Selection:** Enable/disable specific asset monitoring
- **Timezone:** Set your preferred timezone for timestamp display
**Interpretation**
- **Green indicators:** Bullish/risk-on signals
- **Red indicators:** Bearish/risk-off signals
- **Yellow indicators:** Neutral/mixed signals
- **Orange indicators:** Warning/extreme conditions
---
Use Cases
**Traders**
- **Portfolio allocation** based on institutional flows
- **Risk management** through correlation monitoring
- **Market timing** using sentiment extremes
- **Divergence trading** opportunities
**Analysts**
- **Multi-asset correlation** research
- **Macro theme** identification
- **Risk sentiment** quantification
- **Flow analysis** across asset classes
**Cryptocurrency Investors**
- **Altseason timing** through dominance analysis
- **Macro correlation** understanding
- **Institutional adoption** tracking
- **Risk-on/off** positioning
---
Important Disclaimers
- **Not Financial Advice:** This tool provides analytical insights, not investment recommendations
- **Market Risk:** All trading involves substantial risk of loss
- **Correlation Changes:** Market correlations can shift rapidly during crisis periods
- **Supplementary Tool:** Should be used alongside other analysis methods
This indicator represents cutting-edge market analysis combining traditional finance and cryptocurrency insights. Regular updates ensure continued accuracy as market structures evolve.
**Version:** 1.0
**Last Updated:** 2025
**Compatibility:** Pine Script v6
**Category:** Multi-Asset Analysis
BAFD (Price Action For D.....s)🧠 Overview
This indicator combines multiple Moving Averages (MA) with visual price action elements such as Fair Value Gaps (FVGs) and Swing Points. It provides traders with real-time insight into trend direction, structural breaks, and potential entry zones based on institutional price behavior.
⚙️ Features
1. Multi MA Visualization (SMA & EMA)
- Plots short-, mid-, and long-term moving averages
- Fully customizable: MA type (SMA/EMA) and length per MA
- Dynamic color coding: green for bullish, red for bearish (based on close >/< MA)
2. Fair Value Gaps (FVG) Detection
Detects bullish and bearish imbalances using multiple logic types:
- Same Type: Last 3 candles move in the same direction
- Twin Close: Last 2 candles close in the same direction
- All: Shows all valid FVGs regardless of pattern
Gaps are marked with semi-transparent yellow boxes
Useful for identifying potential liquidity voids and retest zones
3. Swing Highs and Lows
- Automatically identifies major swing points
- Customizable sensitivity (strength setting)
Marked with subtle colored dots for structure identification or support/resistance mapping
📈 Use Cases
- Trend Identification: Visualize momentum on multiple timeframes
- Liquidity Mapping: Spot potential retracement zones using FVGs
- Confluence Building: Combine MA slope, FVG zones, and swing points for refined setups
🛠️ Customizable Settings
- Moving average type and length for each MA
- FVG logic selection and color
- Swing point strength
🔔 Note
This script does not generate buy/sell signals or alerts. It is designed as a visual decision-support tool for discretionary traders who rely on market structure, trend, and price action.
Delta Magnet Zone LiteDelta Magnet Zone Lite is exactly what it sounds like. It is areas where price cold potentially act as a magnet zone for price. Delta Magnet Zone Lite is a lightweight yet powerful visual tool that highlights potential liquidity traps and high-probability reversal zones based on volume spikes and wick imbalances. Designed for precision traders, this indicator visually marks key “magnet” zones where price may react, reverse, or consolidate due to prior aggressive buying or selling activity.
🔹 Core Logic:
Volume Spike Detection
Identifies candles with significantly higher volume than the moving average (customizable). These are likely areas of institutional interest or stop-hunt events.
Wick Ratio Analysis
Measures the size of the upper or lower wick relative to the total candle range. When combined with volume spikes, this helps detect:
Bullish Traps: Large lower wicks with strong buying volume
Bearish Traps: Large upper wicks with strong selling volume
Smart Zone Marking
When trap conditions are met, the script draws a semi-transparent colored box (green for bullish, red for bearish) that extends forward in time, highlighting a magnet zone—a price area likely to be retested or respected by future price action.
🛠 Customization Options:
Volume Spike Threshold
Adjust the multiplier for defining what qualifies as "high volume" relative to the average.
Wick Ratio Sensitivity
Fine-tune how extreme the wick size must be to qualify as a trap.
Zone Lifetime (Lookback)
Control how many bars each zone remains active on the chart.
Toggle Visibility
Turn bullish or bearish zones on/off independently for clean charting.
Ideal Use Cases:
Spotting hidden liquidity zones
Identifying exhaustion points in fast markets
Tracking institutional order imbalances
Enhancing confirmation for entry/exit signals
Whether you're trading intraday breakouts or swing-level reversals, Delta Magnet Zone Lite brings clarity to key reaction levels derived from raw price and volume behavior.
Time LevelsTime Levels is a customizable TradingView indicator designed to mark critical intraday price levels based on specific time inputs. This tool helps traders identify significant Open/High/Low/Close (OHLC) levels, support & resistance (S&R) zones, and potential Judas Swing manipulation points—aligned with selected timeframes and adjusted to any time zone via UTC offset.
🔧 Key Features:
OHLC/OLHC Levels: Automatically draws horizontal lines at the candle’s open price for up to four specified time points. Ideal for marking session opens, closes, or key intraday levels.
Support & Resistance Zones: Highlights two time-based S&R levels that can help identify discount and premium pricing zones.
Judas Swing Detection: Marks potential liquidity grab zones (Judas Swings) at three user-defined times, assisting in identifying manipulation and smart money entry points.
Global Timezone Support: Includes a UTC offset input to align levels accurately with your trading session, regardless of your location.
Full Customization: Personalize the color, style (solid, dashed, dotted), and thickness of each line independently for OHLC, S&R, and Judas levels.
🛠️ Use Cases:
New York / London open price tracking
ICT-based SMC level marking
Predefined time-based liquidity level visualizations
Institutional-level price reactions (e.g., during specific market opens)
This indicator is best suited for intraday and short-term (especially ICT) traders looking to bring precision and consistency into their technical analysis framework.
Dr Avinash Talele momentum indicaterTrend and Volatility Metrics
EMA10, EMA20, EMA50:
Show the percentage distance of the current price from the 10, 20, and 50-period Exponential Moving Averages.
Positive values indicate the price is above the moving average (bullish momentum).
Negative values indicate the price is below the moving average (bearish or corrective phase).
Use: Helps traders spot if a stock is extended or pulling back to support.
RVol (Relative Volume):
Compares current volume to the 20-day average.
Positive values mean higher-than-average trading activity (potential institutional interest).
Negative values mean lower activity (less conviction).
Use: High RVol often precedes strong moves.
ADR (Average Daily Range):
Shows the average daily price movement as a percentage.
Use: Higher ADR = more volatility = more trading opportunities.
50D Avg. Vol & 50D Avg. Vol ₹:
The 50-day average volume (in millions) and value traded (in crores).
Use: Confirms liquidity and suitability for larger trades.
ROC (Rate of Change) Section
1W, 1M, 3M, 6M, 12M:
Show the percentage price change over the last 1 week, 1 month, 3 months, 6 months, and 12 months.
Positive values (green) = uptrend, Negative values (red) = downtrend.
Use: Quickly see if the stock is gaining or losing momentum over different timeframes.
Momentum Section
1M, 3M, 6M:
Show the percentage gain from the lowest price in the last 1, 3, and 6 months.
Use: Measures how much the stock has bounced from recent lows, helping find strong rebounds or new leaders.
52-Week High/Low Section
From 52WH / From 52WL:
Show how far the current price is from its 52-week high and low, as a percentage.
Closer to 52WH = strong uptrend; Closer to 52WL = possible value or turnaround setup.
Use: Helps traders identify stocks breaking out to new highs or rebounding off lows.
U/D Ratio
U/D Ratio:
The ratio of up-volume to down-volume over the last 50 days.
Above 1 = more buying volume (bullish), Below 1 = more selling volume (bearish).
Use: Confirms accumulation or distribution.
How This Table Helps Analysts and Traders
Instant Trend Assessment:
With EMA distances and ROC, analysts can instantly see if the stock is trending, consolidating, or reversing.
Momentum Confirmation:
ROC and Momentum sections highlight stocks with strong recent moves, ideal for momentum and breakout traders.
Liquidity and Volatility Check:
Volume and ADR ensure the stock is tradable and has enough price movement to justify a trade.
Relative Positioning:
52-week high/low stats show whether the stock is near breakout levels or potential reversal zones.
Volume Confirmation:
RVol and U/D ratio help confirm if moves are backed by real buying/selling interest.
Actionable Insights:
By combining these metrics, traders can filter for stocks with strong trends, robust momentum, and institutional backing—ideal for swing, position, or even intraday trading.
[RenkoCore] PublicWhen it comes the Renko chart, we all know it has its advantages & disadvantages compared to the candle-stick chart. My aim of this was to alleviate some of the disadvantages by providing some sort of structure on Renko chart. These set of tools may hopefully help your trading journey on Renko chart.
Helpful tips:
a) Enable wicks on your Renko settings, this indicator needs wicks to work.
b) Choose correct size (I recommend traditional size option) for your Renko chart as well as for your instrument.
c) Keep it on 1-second time frame, anything other than that doesn't work on TradingView's Renko. This is important as price will not repaint.
d) If you want to see bigger picture (like 4hr/daily on candle-stick chart), just increase your Renko size, but still keep it on 1-second timeframe.
This toolset includes couple different methods to provide some structures as explained below:
1. 📌 Balance | Price Action Equilibrium Zones
Overview
The Balance is a visual framework designed to evaluate directional bias and internal structure in price action. It measures net bullish/bearish momentum within a configurable rolling window, while highlighting key structural turning points based on multiple custom sensitivity levels. This tool helps traders stay in sync with market rhythm by emphasizing balance, imbalance, and inflection zones.
🔧 How It Works:
Inflection Tiers
Three customizable rounds of pivot-based divergence detection—labeled as 1°, 2°, and 3°—automatically identify regular bullish and regular bearish pivot structures. Though may not be always accurate, these structural signals are intended to keep user's focus to continually reflect emerging internal market shifts.
Balance Limit
Monitors directional bar disparity within a customizable retrospective span. When the net balance exceeds ±50% of the range, the line turns green to suggest strong directional bias. A red fill zone between these thresholds indicates equilibrium or no-trade conditions.
Volatility Based Reversal (Candle Reversal Detector)
This tool scans for extreme price movements relative to local volatility baselines, helping traders detect possible tops and bottoms before major price reversals or pauses. Compares current price action to the lowest recent volatility anchor or if price sharply dips below the highest recent volatility anchor.
🧠 Use Case Recommendations:
Discretionary trading to visually confirm balance and momentum shifts.
Confluence strategies, combining the balance counter with trend indicators or support/resistance levels.
Structure mapping, to highlight exhaustion zones or emerging reversals based on internal divergences.
Avoid using this tool in isolation. It is most effective when combined with broader market context or other confirmation layers.
2. 📌 Primary Level Detection
Overview
This is a precision tool for detecting dynamic price zones where significant market reversals may begin. Using a blend of momentum, price tension, and volatility structure, it identifies potential top and bottom areas — and tracks them with adaptive channel levels that evolve in real time.
🔧 How It Works:
Combines price action, RSI-based bias, and volatility deviation to identify moments when price is overextended.
Reacts only to major changes — reducing false positives in choppy markets.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
Analyzing volatile markets where rapid direction changes are common (e.g., crypto, futures, scalping)
3. 📌 Secondary Level Detection
Overview
This tool highlights where price may be overextended and due for a short-term reversal, based on recent price structure.
🔧 How It Works:
It uses dynamic bar-count and swing conditions to identify potential price turning points after extended directional moves or strong sequence of bars in same direction.
Levels persist on the chart until a new valid reversal is confirmed, giving you visual structure and actionable areas to work with.
🧠 Use Case Recommendations:
Trading reversals, reversion-to-mean, or liquidity sweeps
Confirming entries from other indicators (like divergence, order blocks, or support/resistance)
⚠️ Important Notes:
This indicator does not repaint. All pivots and plots are based on closed candles and verified conditions.
This tool does not provide trade signals. It is a structural analysis tool intended to assist in discretionary decision-making. This indicator is for informational and educational purposes only. Use in combination with your own trading strategy, risk management, and market context. The signals generated do not guarantee outcomes and should not be used in isolation.
It is not intended to be financial advice or a recommendation to buy or sell any security or asset. Trading involves risk. Always do your own research and consult with a licensed financial advisor before making any trading decisions. Past performance is not indicative of future results.
The author is not responsible for any losses incurred from the use of this script.
AMD Setup - Full (Long + Short) ICT ModelICTSNIPERKILLS!
Accumulation, Manipulation, Distribution (AMD) Script!
1. Clarifies Structure: Accumulation, Manipulation, Distribution (AMD)
The script visualizes the AMD framework:
Accumulation → Price ranges inside Initial Balance (IB).
Manipulation → Liquidity sweep above IB High or below IB Low.
Distribution → Market Structure Shift (MSS) confirms a directional move.
This gives you a narrative structure for each session, helping you avoid random trades.
🧠 2. Filters Out Noise with MSS Confirmation
It waits for:
A liquidity sweep (manipulation),
Followed by a market structure shift (MSS),
And then confirms an entry only after a candle closes beyond structure.
This structure:
Reduces false signals,
Improves trade timing,
Helps you align with smart money delivery.
🕘 3. Focuses on the Right Time Window (Initial Balance)
You only engage after the 10:30 AM EST close, once the Initial Balance is formed.This aligns with ICT's focus on:
Killzones (like 9:30–11:00),
Avoiding early overtrading,
Letting the market tip its hand first (through sweeps + MSS).
This timing logic supports discipline and consistency.
🟢🔴 4. Marks Entries with Risk/Reward Guidance
It plots:
AMD SHORT / LONG entries after MSS + candle confirmation,
Basic TP and SL visual markers using a static risk-reward (2:1),
Optional Fair Value Gaps (FVGs) for refinement zones.
While static, these help plan trades visually and frame targets quickly, especially if you're scalping or trading micro futures like MNQ.
📈 5. Alerts You in Real Time
Instead of manually watching:
You'll get alerts when sweeps or MSS setups appear.
You can stay focused during the killzone or walk away and return when signals trigger.
This supports patience and alert-based discipline.
💡
You already:
Use 15M/1M execution,
Wait for ERL or HOD/LOD sweeps,
Look for MSS + CISD,
Trade in killzones only,
Target 50–62–70% Fibs with SMT/FVG confluence.
This script:✅ Automates sweep + MSS detection✅ Plots AMD-based entries visually✅ Simplifies your killzone execution✅ Helps avoid FOMO by filtering setups✅ Keeps your journal entries clean with structure
FXC Candle strategyFxc candle strategy for Gold scalping.
Scalping is a fast-paced trading strategy focusing on capturing small, frequent price movements for incremental profits. High market liquidity and tight spreads are needed for scalping, minimizing execution risks. Scalpers should trade during peak liquidity to avoid slippage
SMC ICT – Simplified Daily Trend & Reversal AnalyzerThis Pine Script provides a simplified approach to analyzing daily trends and potential reversals using concepts inspired by Smart Money Concepts (SMC) and ICT (Inner Circle Trader).
What It Does:
• Detects daily uptrend and downtrend conditions by comparing the current daily high/low to the previous day’s values.
• Highlights potential bullish or bearish reversal zones when price behavior suggests a shift in sentiment.
• Automatically draws dashed lines for the previous day's high and low.
• Labels these high/low levels for quick visual reference.
How to Use:
Apply this indicator to any timeframe chart. Use the plotted trend markers to assess daily direction and potential reversal signals. The dashed lines (previous high/low) can be used as reference points for liquidity zones or break/retest entries.
User Interface:
The indicator displays labels and shapes in English. This script is intended for educational and trading workflow enhancement purposes.
Note:
This is an open-source tool designed for clarity and basic SMC/ICT application. It is best used in combination with other confluences like FVGs, order blocks, and liquidity sweeps.
Impulse Profile Zones [BigBeluga]🔵 OVERVIEW
Impulse Profile Zones is a volume-based tool designed to highlight high-impact candles and visualize hidden liquidity zones inside them using microstructure data. It’s ideal for identifying volume concentration and potential reaction points during impulsive market moves.
Whenever a candle exceeds a specified size threshold, this indicator captures its structure and overlays a detailed intrabar volume profile (from a 10x lower timeframe), allowing traders to analyze the distribution of interest within powerful market impulses.
🔵 CONCEPTS
Filters candles that exceed a user-defined threshold by size.
For qualifying candles, retrieves lower timeframe price and volume data.
Divides the candle’s body into 10 volume bins and calculates the volume per zone. Highlights the bin with the highest volume as the Point of Control (POC) .
Each POC line extends forward until a new impulse is detected.
🔵 FEATURES
Impulse Candle Detection:
Triggers only when a candle’s body size is larger than the defined threshold.
Lower Timeframe Profiling:
Aggregates 10-bin volume data from a lower timeframe (typically 1/10 of current TF).
Volume Distribution Bars:
Each bin displays a stylized bar using unicode block characters (e.g., ▇▇▇, ▇▇ or ▇--).
The bar size reflects the relative volume intensity.
POC Zone Mapping:
The bin with the highest volume is marked with a bold horizontal line.
Its value is labeled and extended until the next valid impulse.
🔵 HOW TO USE
Use large candle profiles to assess which price levels inside a move were most actively traded.
Watch the POC line as a magnet for future price interaction (support/resistance or reaction).
Combine with market structure or order block indicators to identify confluence levels.
Adjust the “Filter Large Candles” input to detect more or fewer events based on volatility.
🔵 CONCLUSION
Impulse Profile Zones is a hybrid microstructure tool that bridges lower timeframe volume with higher timeframe impulse candles. By revealing where most of the volume occurred inside large moves, traders gain a deeper view into hidden liquidity, enabling smarter trade entries and more confident profit-taking zones.
USDTUSD Stochastic RSI [SAKANE]Release Note
■ Overview
The USDTUSD Stochastic RSI indicator visualizes shifts in market sentiment and liquidity by applying the Stochastic RSI to the USDT/USD price pair.
Rather than tracking the price of Bitcoin directly, this tool observes the momentum of USDT, a key intermediary in most crypto transactions, to detect early signals of trend reversals.
■ Background & Motivation
USDT exhibits two distinct characteristics:
Its credibility as a long-term store of value is limited.
Yet, it serves as one of the most liquid assets in the crypto space and is widely used as a trading base pair.
Because most BTC trades involve converting fiat into USDT and vice versa, USDT/USD frequently deviates slightly from its peg to USD.
These deviations—though subtle—often occur just before major shifts in the broader crypto market.
This indicator is designed to detect such moments of structural imbalance by applying momentum analysis to USDT itself.
■ Feature Highlights
Calculates RSI and Stochastic RSI on the USDT/USD closing price
Supports customizable smoothing via SMA or EMA
Background shading dynamically visualizes overheated or cooled market states (thresholds are adjustable)
Displayed in a separate pane, keeping it visually distinct from the price chart
■ Usage Insights
This indicator is based on an observable pattern:
When the Stochastic RSI bottoms out, Bitcoin tends to form a price bottom shortly afterward
Conversely, when the indicator peaks, Bitcoin tends to top out with a slight delay
Since USDT acts as a gateway for capital in and out of the market, changes in its momentum often foreshadow turning points in BTC.
This allows traders to anticipate shifts in sentiment rather than merely reacting to them.
■ Unique Value Proposition
Unlike conventional price-based indicators, this tool offers a structural perspective.
It focuses on USDT as a mechanism of liquidity flow, making it possible to detect the "hidden rhythm" of the crypto market.
In that sense, this is not just a technical tool, but an entry point into market microstructure analysis—allowing users to read the market’s intentions rather than just its movements.
■ Practical Tips
Look for reversals in momentum as potential BTC entry or exit points.
Overlay this indicator with the BTC chart to compare timing and divergence.
Combine with other tools such as on-chain data or macro indicators for comprehensive analysis.
■ Final Thoughts
USDTUSD Stochastic RSI is designed with the belief that the most important market signals often come from what drives the price, not the price itself.
By tuning into the “heartbeat” of capital flow, this indicator sheds light on market dynamics that would otherwise remain unseen.
We hope it proves useful in your trading and research.
JPMorgan G7 Volatility IndexThe JPMorgan G7 Volatility Index: Scientific Analysis and Professional Applications
Introduction
The JPMorgan G7 Volatility Index (G7VOL) represents a sophisticated metric for monitoring currency market volatility across major developed economies. This indicator functions as an approximation of JPMorgan's proprietary volatility indices, providing traders and investors with a normalized measurement of cross-currency volatility conditions (Clark, 2019).
Theoretical Foundation
Currency volatility is fundamentally defined as "the statistical measure of the dispersion of returns for a given security or market index" (Hull, 2018, p.127). In the context of G7 currencies, this volatility measurement becomes particularly significant due to the economic importance of these nations, which collectively represent more than 50% of global nominal GDP (IMF, 2022).
According to Menkhoff et al. (2012, p.685), "currency volatility serves as a global risk factor that affects expected returns across different asset classes." This finding underscores the importance of monitoring G7 currency volatility as a proxy for global financial conditions.
Methodology
The G7VOL indicator employs a multi-step calculation process:
Individual volatility calculation for seven major currency pairs using standard deviation normalized by price (Lo, 2002)
- Weighted-average combination of these volatilities to form a composite index
- Normalization against historical bands to create a standardized scale
- Visual representation through dynamic coloring that reflects current market conditions
The mathematical foundation follows the volatility calculation methodology proposed by Bollerslev et al. (2018):
Volatility = σ(returns) / price × 100
Where σ represents standard deviation calculated over a specified timeframe, typically 20 periods as recommended by the Bank for International Settlements (BIS, 2020).
Professional Applications
Professional traders and institutional investors employ the G7VOL indicator in several key ways:
1. Risk Management Signaling
According to research by Adrian and Brunnermeier (2016), elevated currency volatility often precedes broader market stress. When the G7VOL breaches its high volatility threshold (typically 1.5 times the 100-period average), portfolio managers frequently reduce risk exposure across asset classes. As noted by Borio (2019, p.17), "currency volatility spikes have historically preceded equity market corrections by 2-7 trading days."
2. Counter-Cyclical Investment Strategy
Low G7 volatility periods (readings below the lower band) tend to coincide with what Shin (2017) describes as "risk-on" environments. Professional investors often use these signals to increase allocations to higher-beta assets and emerging markets. Campbell et al. (2021) found that G7 volatility in the lowest quintile historically preceded emerging market outperformance by an average of 3.7% over subsequent quarters.
3. Regime Identification
The normalized volatility framework enables identification of distinct market regimes:
- Readings above 1.0: Crisis/high volatility regime
- Readings between -0.5 and 0.5: Normal volatility regime
- Readings below -1.0: Unusually calm markets
According to Rey (2015), these regimes have significant implications for global monetary policy transmission mechanisms and cross-border capital flows.
Interpretation and Trading Applications
G7 currency volatility serves as a barometer for global financial conditions due to these currencies' centrality in international trade and reserve status. As noted by Gagnon and Ihrig (2021, p.423), "G7 currency volatility captures both trade-related uncertainty and broader financial market risk appetites."
Professional traders apply this indicator in multiple contexts:
- Leading indicator: Research from the Federal Reserve Board (Powell, 2020) suggests G7 volatility often leads VIX movements by 1-3 days, providing advance warning of broader market volatility.
- Correlation shifts: During periods of elevated G7 volatility, cross-asset correlations typically increase what Brunnermeier and Pedersen (2009) term "correlation breakdown during stress periods." This phenomenon informs portfolio diversification strategies.
- Carry trade timing: Currency carry strategies perform best during low volatility regimes as documented by Lustig et al. (2011). The G7VOL indicator provides objective thresholds for initiating or exiting such positions.
References
Adrian, T. and Brunnermeier, M.K. (2016) 'CoVaR', American Economic Review, 106(7), pp.1705-1741.
Bank for International Settlements (2020) Monitoring Volatility in Foreign Exchange Markets. BIS Quarterly Review, December 2020.
Bollerslev, T., Patton, A.J. and Quaedvlieg, R. (2018) 'Modeling and forecasting (un)reliable realized volatilities', Journal of Econometrics, 204(1), pp.112-130.
Borio, C. (2019) 'Monetary policy in the grip of a pincer movement', BIS Working Papers, No. 706.
Brunnermeier, M.K. and Pedersen, L.H. (2009) 'Market liquidity and funding liquidity', Review of Financial Studies, 22(6), pp.2201-2238.
Campbell, J.Y., Sunderam, A. and Viceira, L.M. (2021) 'Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds', Critical Finance Review, 10(2), pp.303-336.
Clark, J. (2019) 'Currency Volatility and Macro Fundamentals', JPMorgan Global FX Research Quarterly, Fall 2019.
Gagnon, J.E. and Ihrig, J. (2021) 'What drives foreign exchange markets?', International Finance, 24(3), pp.414-428.
Hull, J.C. (2018) Options, Futures, and Other Derivatives. 10th edn. London: Pearson.
International Monetary Fund (2022) World Economic Outlook Database. Washington, DC: IMF.
Lo, A.W. (2002) 'The statistics of Sharpe ratios', Financial Analysts Journal, 58(4), pp.36-52.
Lustig, H., Roussanov, N. and Verdelhan, A. (2011) 'Common risk factors in currency markets', Review of Financial Studies, 24(11), pp.3731-3777.
Menkhoff, L., Sarno, L., Schmeling, M. and Schrimpf, A. (2012) 'Carry trades and global foreign exchange volatility', Journal of Finance, 67(2), pp.681-718.
Powell, J. (2020) Monetary Policy and Price Stability. Speech at Jackson Hole Economic Symposium, August 27, 2020.
Rey, H. (2015) 'Dilemma not trilemma: The global financial cycle and monetary policy independence', NBER Working Paper No. 21162.
Shin, H.S. (2017) 'The bank/capital markets nexus goes global', Bank for International Settlements Speech, January 15, 2017.
TBR(3AM, 9AM, 3PM)How It Works
• Monitors 3 key institutional hours: 3AM (London Open), 9AM (New York Open), and 3PM (US Close)
• Captures the full range (high and low) of each 1H candle at those times
• Confirms breakout only if the next 1H candle closes above or below the range
• Draws the zone (box) aligned with the original hourly candle (not delayed)
• Displays retracement lines at:
- 25% (initial reaction)
- 50% (mitigation level)
- 75% (deep retracement entry)
Key Features
• Precise zone alignment — Boxes are anchored to the actual breakout candle
• Mitigation logic — Zones are considered mitigated once price revisits the 0.5 level
• Expiry filter — Zones automatically remove after 7 days
• Time zone support — Choose from major time zones or fixed UTC offsets (e.g., Etc/GMT+4)
• Multi-timeframe compatible — Works on all timeframes (1m, 5m, 15m, etc.)
• Clean structure — No duplicated boxes on lower timeframes
• Fully customizable colors and visibility toggles
Settings
• Toggle visibility for 3AM / 9AM / 3PM zones independently
• Choose time zone (supports America/New_York, UTC, Asia/Tokyo, etc.)
• Adjust how long zones stay visible (in hours)
• Enable/disable auto-removal after mitigation
Ideal For
• ICT traders
• Smart money concepts (SMC)
• Zone-based entries and liquidity grabs
• Traders using mitigation and premium/discount retracement logic
Tip
• Use this script with liquidity/volume indicators or SMT divergence for even stronger confluence.
