Bollinger Bands Bar ColoringThis is a simple script that colors bars/candles based on where price is relative to the basis, and the upper and lower bands of the Bollinger Bands.
If price is above the basis, candles will be colored green, and if price is below the basis, candles will be colored red.
If price is outside of the bands on either side, the candles will be colored a darker shade of either color depending on if it is above or below.
I created this indicator because I like that at a glance I can have an idea of the bullishness or bearishness of price action based on the Bollinger Bands, without actually having the Bands overlayed on my charts.
It's also quite nice because I find that the areas where there is a shift in candle color (especially from green to red and vice versa) aid in identifying levels of support and resistance, and shifts in market structure.
I have another indicator that is a huge modification of the Bollinger Bands %B, which includes the candle coloring (and MAs), but this frees up space on my chart while still providing me with the primary information I'm looking for.
Search in scripts for "market structure"
+ BB %B: MA selection, bar coloring, multi-timeframe, and alerts+ %B is, at its simplest, the classic Bollinger Bands %B indicator with a few added bells and whistles.
However, the right combination of bells and whistles will often improve and make a more adaptable indicator.
Classically, Bollinger Bands %B is an indicator that measures volatility, and the momentum and strength of a trend, and/or price movements.
It shows "overbought" and "oversold" spots on a chart, and is also useful for identifying divergences between price and trend (similar to RSI).
With + %B I've added the options to select one or two moving averages, candle coloring, and a host of others.
Let's start with the moving averages:
There are options for two: one faster and one slower. Or combine them how you will, or omit one or both of them entirely.
Here you will find options for SMA, EMA (as well as double and triple), Hull MA, Jurik MA, Least Squares MA, Triangular MA, Volatility Adjusted MA, and Weighted MA.
A moving average essentially helps to define trend by smoothing the noise of movements of the underlying asset, or, in this case, the output of the indicator.
All of these MAs available track this in a different way, and it's up to the trader to figure out which makes most sense to him/her.
MA's, in my opinion, improve the basic %B by providing a clearer picture of what the indicator is actually "seeing", and may be useful for providing entries and exits.
Next up is candle coloring:
I've added the option for this indicator to color candles on the chart based on where the %B is in relation to its upper and lower bounds, and median line.
If the %B is above the median but below the upper bound, candles will be green (showing bullish market structure). If %B is below the median but above the lower bound, candles will be red (denoting bearish market structure).
Overbought and oversold candles will also be colored on the chart, so that a quick glance will tell you whether price action is bullish/bearish or "oversold"/"overbought".
I've also added functionality that enables candles to be colored based on if the %B has crossed up or crossed down the primary moving average.
One example as a way to potentially use these features is if the candles are showing oversold coloration followed by the %B crossing up your moving average coloration. You might consider a long there (or exit a short position if you are short).
And the last couple of tweaks:
You may set the timeframe to whatever you wish, so maybe you're trading on the hourly, but you want to know where the %B is on the 4h chart. You can do that.
The background fill for the indicator is split into bullish and bearish halves. Obviously you may turn the background off, or make it all one color as well.
I've also added alerts, so you may set alerts for "overbought" and "oversold" conditions.
You may also set alerts for %B crossing over or under the primary moving average, or for crossing the median line.
All of these things may be turned on and off. You can pretty much customize this to your heart's delight. I see no reason why anyone would use the standard %B after playing with this.
I am no coder. I had this idea in my head, though, and I made it happen through referencing another indicator I was familiar with, and watching tutorials on YouTube.
Credits:
Firstly, thanks to www.tradingview.com for his brilliant, free tutorials on YouTube.
Secondly, thanks to www.tradingview.com for his beautiful SSL Hybrid indicator (and his clean code) from which I obtained the MAs.
Please enjoy this indicator, and I hope that it serves you well. :)
MA, MATR, ChEx | All in One - 4CR CUPIn trade position setup, we always need to determine the market structure and manage the position sizing in a short period of decision time. Indicators such as moving average, initial stop loss and trailing stop loss are always helpful.
This indicator put all these handy tools into a single toolkit, which includes the following price action and risk management indicators:
MA - Moving Average
MATR - Moving Average less Average True Range
ChEx - Chandelier Exit
This script further enhances the setting so that you can easily customize the indicators.
For both the Moving Averages and the Moving Average less Average True Range , you can pick a type of moving average which suits your analysis style from a list of commonly used moving average formulations: namely, EMA , HMA , RMA, SMA and WMA , where EMA is selected as default.
The Moving Average less Average True Range , MATR, is usually applied as a reference to set the initial stop loss whenever opening a new position.
The abbreviation, MATR, is picked, so that this can serve as a handy reminder of a very good trading framework as elaborates as below:
M – Market Structure
A – Area of Value
T – Trigger
R – Risk Management (aka. Exit Strategy)
Bitcoin Bulls and Bears by @dbtrBitcoin 🔥 Bulls & Bears 🔥
v1.0
This free-of-charge BTC market analysis indicator helps you better understand what's going with Bitcoin from a high-level perspective. At a glance, it will give you an immediate understanding of Bitcoin’s historic price channel dating back to 2011, past and current market cycles, as well as current key support levels.
Usage
Use this indicator with any BTCUSD pairs , ideally with a long price history (such as BNC:BLX )
We recommend to use this indicator in log mode, combined with Weekly or Monthly timeframe.
Features
🕵🏻♂️ Historic price channel curve since 2011
🚨 Bull & bear market cycles (dynamic)
🔥 All-time highs (dynamic)
🌟 Weekly support (dynamic, based on 20 SMA )
💪 Long-term support (channel bottom)
🔝 Potential future price targets (dynamic)
❎ Overbought RSI coloring
📏 Log/non-log support
🌚 Dark mode support
Remarks
With exception of the price channel curve, anything in this indicator is calculated dynamically , including bull/bear market cycles (based on a tweaked 20SMA), ATHs, and so on. As a result, historic market cycles may not be 100% accurately reflected and may also differ slightly in between various time-frames (closest result: Monthly). The indicator may even consider periods of heavy ups/downs as their own market cycles, even though they weren’t. Due to its dynamic nature, this indicator can however adapt to the future and helps you quickly identify potential changes in market structure, even if the indicator is no longer updated.
On top of that bullmarket cycles (colored in green) feature an ingrained RSI: the darker the green color, the more the RSI is overbought and close to a correction (darkest color in the chart = 90 Weekly RSI). In comparison with past bull cycles, it helps you easily spot potential reversal zones.
Thanks
Thanks to @quantadelic and @mabonyi which both have worked on the BTC "growth zones" indicator including the price channel, of which I have used parts of the code as well as the actual price channel data.
Follow me
Follow me here on TradingView to be notified as soon as new free and premium indicators and trading strategies are published. Inquire me for any other requests.
Enjoy & happy trading!
Ichimoku ++ public v0.9Description:
The intention of this script is to build/provide a kind of work station / work bench for analysing markets and especially Bitcoin . Another goal is to get maximum market information while maintaining a good chart overview. A chart overloaded with indicators is useless because it obscures the view of the chart as the most important indicator. The chart should be clear and market structure should be easy to see. In addition, some indicator signals can be activated to better assess the quality of signals from the past. The chart environment or the chart context is important for the quality of a signal.
The intention of this script is not to teach someone how to trade or how to use these Indicators but to provide a tool to analyse markets better and to help to draw conclusions of market behaviour in a higher quality.
A general advise:
Use the included indicators and signals in a confluent way to get stoploss, buy and sell entry points. SR clusters can be identified for use in conjunction with fractals as entry and exit pints. My other scripts can also help. Prefer 4 hours, daily and a longer time frame. There is no "Holy Grail" :).
If someone is new to trading you should learn about the indicators first. Definitely learn about Ichimoku Cloud Indicator.
Integrated indicators are:
Ichimoku Cloud and signals
Parabolic SAR and signal
ATR stop
Bollinger Bands
EMA / SMA and background color as signal
Williams Fractals and signal
Puell Multiple signal
SD Levels + EMASD Levels + EMA
Overview:
The SD Levels + EMA indicator combines volatility-based standard deviation levels with dual EMA signals to help traders identify potential breakout zones, overextended regions, and trend shifts. It overlays key market structure levels directly on the chart, giving a clear visual roadmap of intraday and daily strength zones.
🧠 Core Features
1. Standard Deviation Levels (SD Module)
Calculates volatility using annualized standard deviation from the selected source (hlc3 by default).
Automatically plots:
Settlement level
±0.33 SD, ±0.66 SD, ±1 SD, ±1.33 SD, ±1.66 SD, ±2 SD bands
Optionally displays:
Previous day’s high/low
Current day’s running high/low
These levels help spot volatility extremes, mean reversion zones, and breakout potential.
2. EMA Module
Plots two customizable EMAs (default = 5 and 10 periods).
Highlights bullish/bearish crossovers with clear up/down triangles.
Generates alerts for crossover events.
Includes an optional $-spaced grid (default $25) with user-defined levels above and below current price.
3. Visual & Utility Options
Optional info table showing:
Current Price
EMA 5
EMA 10
Real-time trend direction (Bullish ↑, Bearish ↓, Neutral)
Lightweight, non-repainting logic optimized for intraday timeframes.
User-friendly inputs to toggle each module independently.
⚙️ Recommended Use
Combine SD zones with EMA crossovers to confirm volatility-based breakouts or fade reversions near extremes.
The extended ±SD ladder helps traders map confluence areas between volatility expansion and EMA momentum.
🛠 Customization
Adjust SD sensitivity via level toggles and settlement source.
Modify grid spacing, number of levels, and EMA periods.
Enable/disable tables, labels, and individual components to match your charting style.
📢 Alerts
🔔 Bullish EMA Cross: EMA 5 crosses above EMA 10
🔔 Bearish EMA Cross: EMA 5 crosses below EMA 10
⚡ Summary
A hybrid indicator that merges volatility-based structure (SD levels) with trend-based momentum (EMA crosses)—ideal for traders who want to visualize both mean-reversion zones and trend continuation opportunities within a single tool.
SmartMA(EN)
## **SmartMA v1.2: Technical Specification & Integration Guide**
### 1\. Overview & Philosophy
**SmartMA v1.2** is a professional-grade Pine Script library designed to replace static, lagging indicators (like EMA, SMA, ATR) with dynamic, context-aware engines.
The core philosophy is that a trading system's "baseline" (its sense of value) and "sigma" (its sense of risk) should not be fixed. They should adapt in real-time to changes in market structure, volume, flow, and regime.
This library is a **pure logic engine**. It provides no plots or inputs. It is intended to be imported into a sophisticated "super-indicator" (like your `X Ω` system) to serve as its core processor for value and risk.
### 2\. Core Concepts
Before using the main functions, understand these foundational components:
* **`robust_price()`:** This is the recommended price source for all calculations. It replaces `close` or `hlc3`. It is a 70/30 blend of `hlc3` (for smoothness) and a "body-weighted close" (which prioritizes the candle's body and discounts noisy wicks/dojis). **Use this as the `src` for all MAs.**
* **Rate-Limiting:** All adaptive sigmas (`avs`, `qvs`) and advanced MAs (`ava_plus`, `wva`) are "rate-limited." This means they cannot jump more than a small fraction of the ATR in a single bar, ensuring an extremely smooth and stable output, free of jerky movements.
* **Context-Awareness:** The "plus" (`+`) and advanced functions (`wva`, `aria`) are designed to be "slaved" to your main system. They accept signals like `hazard01`, `fit01`, and `squeeze01` as inputs to dynamically alter their own behavior.
-----
### 3\. ⚙️ Module Analysis & How-To Guide
This library is best understood in four parts: Baselines (MAs), Volatility (Sigmas), Regime (Context), and VWAP (Utilities).
#### \#\# 3.1. Adaptive Baselines (MA Replacements)
These functions replace `ta.ema` or `ta.sma` to provide a dynamic, intelligent "moving average" that acts as your core value baseline.
##### \#\#\# `ava()` / `ava_plus()` (Adaptive Volume Average)
* **Purpose:** The primary replacement for `EMA` or `VWMA`.
* **Logic:** Intelligently blends `EMA` (price-driven) and `VWMA` (volume-driven). It gives more weight to `VWMA` during high "conviction" (strong candle bodies, high volume) and reverts to `EMA` in low-volume, uncertain markets.
* **How to Use `ava_plus` (Recommended):** This is the context-aware version. It accepts `hazard01` and `squeeze01` (from your `X Ω` EWS and Compression blocks).
* `float base = SmartMA.ava_plus(20, EWS_envHazard01, CP_squeeze01, "rob")`
* **Result:** When hazard or squeeze is high, `ava_plus` *reduces* its adaptive logic and defaults toward a simple, "safe" `EMA`, preventing erratic signals in high-risk environments.
##### \#\#\# `aria()` (Adaptive Regime & Intent Average)
* **Purpose:** A "top-down" regime-aware baseline. It is a lighter, more elegant alternative to `WVA`.
* **Logic:** `aria` blends three MAs based on the market's "big picture":
1. `ZLEMA` (Fast): Prioritized when `fit01` (trend quality) is high.
2. `EMA` (Slow): Prioritized when `hazard01` (risk) is high.
3. `AVA` (Core): Used as the default.
* **How to Use:** This is an *ideal* baseline for `X Ω`. Feed it the final outputs from your Analyst and EWS blocks.
* `float baseline = SmartMA.aria(20, ANL_fit01_out, EWS_envHazard01, ANL_biasPM1_out)`
* **Result:** The baseline automatically becomes faster in good trends, slower in risky markets, and even "tilts" slightly in the direction of your system's `bias` (intent).
##### \#\#\# `wva()` / `wva_plus()` (Whale-flow Adaptive Average)
* **Purpose:** The "ultimate" baseline. This is the most comprehensive, data-driven MA in the suite.
* **Logic:** `wva_plus` is a multi-scale MA that synthesizes 12 context signals (whale flow, absorption, imbalance, hazard, etc.) AND is anchored to **two distinct, user-defined events**. It uses "consensus" (max of up/down pressure) to drive its adaptive speed.
* **How to Use:** This function is *perfectly* designed to be the "central brain" for `X Ω`'s "senses." You connect your `X Ω` blocks directly to its parameters.
> **Example: Creating a Master Baseline**
> `// 1. Define your two anchors (e.g., 2022 Low and 2023 Q4 Low)`
> `bool anchor_L_2022 = (year == 2022 and month == 11 and dayofmonth == 16)`
> `bool anchor_L_2023 = (year == 2023 and month == 11 and dayofmonth == 1)`
> `// 2. Feed X Ω signals directly into wva_plus`
> `float master_baseline = SmartMA.wva_plus(20,`
> ` whale01 = WH2_score01, // from Block 11`
> ` absorbTop01 = FE_absorbTop01, // from Block 6`
> ` absorbBot01 = FE_absorbBot01, // from Block 6`
> ` imbUp01 = IMB_imbalanceUp01, // from Block 8`
> ` imbDn01 = IMB_imbalanceDn01, // from Block 8`
> ` easeUp01 = LM_easeUp01_out, // from Block 9`
> ` easeDn01 = LM_easeDn01_out, // from Block 9`
> ` hazard01 = EWS_envHazard01, // from Block 13`
> ` breadth01 = FE_miScore01, // from Block 4`
> ` squeeze01 = CP_squeeze01, // from Block 10`
> ` anchor1 = anchor_L_2022,`
> ` slot1 = 1,`
> ` anchor2 = anchor_L_2023,`
> ` slot2 = 2`
> `)`
* **Result:** You get a single baseline that reflects multi-scale price, volume, flow, imbalance, *and* is anchored to two critical historical events.
-----
#### \#\# 3.2. Adaptive Volatility (Sigma Replacements)
These functions replace `ta.atr` to provide a dynamic, smoother, and more robust measure of risk (sigma).
##### \#\#\# `avs()` / `avs_plus()` (Adaptive Volatility Sigma)
* **Purpose:** The primary replacement for `ta.atr`.
* **Logic:** Blends `ATR` (which is good at capturing overnight gaps) with statistical OHLC estimators (Garman-Klass by default) for a more accurate measure of intra-bar volatility. It is heavily smoothed and rate-limited.
* **How to Use `avs_plus`:** This is the context-aware version. Feed it the `hazard01` signal from your `X Ω` EWS block.
* `float risk_sigma = SmartMA.avs_plus(14, hazard01=EWS_envHazard01)`
* **Result:** Your risk bands (`VZA`) will *automatically* widen during high-hazard periods.
##### \#\#\# `qvs()` (Quantile Volatility Sigma)
* **Purpose:** A **more robust** alternative to `AVS`. Highly recommended.
* **Logic:** `AVS` and `ATR` are based on an *average*, which is highly sensitive to one-off, extreme outlier wicks (e.g., a "flash crash" wick). `QVS` is based on **quantiles** (percentiles). It measures the volatility level that (e.g.) 90% of recent bars fall *below*.
* **How to Use:** Use this for your "must-hold" stop-loss bands.
* `float robust_sigma = SmartMA.qvs(20, 0.90, "mix")`
* **Result:** A "real-world" sigma that is immune to outliers and provides a much more stable band for risk management.
##### \#\#\# `avs_asym_ex()` (Extended Asymmetric Sigma)
* **Purpose:** Creates dynamic, asymmetric risk bands (channels).
* **Logic:** This is a brilliant integration point. It takes the `avs` (or `qvs`) sigma and creates two different bands (` `) that are "tilted" by:
1. `biasPM1`: Your system's directional intent (from `X Ω`'s Analyst block).
2. `easeUp01` / `easeDn01`: The "Line of Least Resistance" (from `X Ω`'s S/R block).
* **How to Use:**
* ` = SmartMA.avs_asym_ex(14, ANL_biasPM1_out, LM_easeUp01_out, LM_easeDn01_out, "qvs")`
* ` = SmartMA.vza_asym(master_baseline, sigmaUp, sigmaDn, 1.5, 1.5)`
* **Result:** A channel that *automatically widens* in the direction of the trend, and widens *even more* if it's moving into an area of low S/R (high "ease"). It gives a strong trend "room to run."
-----
#### \#\# 3.3. Regime & Drift (Context Engines)
These functions are not MAs themselves, but rather engines to *drive* other MAs.
##### \#\#\# `fia()` (Fit Integrator)
* **Purpose:** Provides a single "regime" score (0-1) answering, "How good is this trend quality?"
* **Logic:** Blends `R²` (linearity), `ADX` (strength), and the **Hurst Exponent** (persistence/memory). A high score means the trend is strong, linear, and *likely to continue* (H \> 0.5).
* **How to Use:** This is the *primary input* for `dfa()` and `aria()`.
* `float fit_score = SmartMA.fia(14, 20)`
##### \#\#\# `dfa()` (Drift & Fit Average)
* **Purpose:** The replacement for `ta.linreg_slope`. It calculates the "fit-aware" velocity of price.
* **Logic:** It blends the slope of `ZLEMA` (fast, low-lag) with the slope of `ta.linreg` (smooth, stable). It uses the `fit_score` from `fia()` to decide the blend.
* **How to Use:** Use this to power your `X Ω` "Forecast Core" (Block 21).
* `float forecast_drift = SmartMA.dfa(robust_price(), 20, fit_score)`
* **Result:** Your forecast will automatically accelerate in high-quality trends and slow down/stabilize in choppy, low-fit markets.
-----
### 4\. Quick API Reference (Key Exports)
* `robust_price()`: Use as your `src`.
* `ava(len, profile)`: Simple adaptive volume MA.
* `ava_plus(len, hazard01, squeeze01, profile)`: `ava` gated by risk.
* `avs(len, method, wATR)`: `ATR` replacement (smooth, blended).
* `avs_plus(len, ..., hazard01)`: `avs` gated by risk.
* `qvs(len, quantile, mode)`: Robust, quantile-based `ATR` replacement (Recommended).
* `avs_asym_ex(len, biasPM1, easeUp01, easeDn01, base, ...)`: Asymmetric bands driven by bias and S/R.
* `fia(lenS, lenL)`: Regime/Fit score 0-1 (R², ADX, Hurst).
* `dfa(src, len, fit01)`: "Fit-aware" slope/drift.
* `aria(len, fit01, hazard01, biasPM1, profile)`: Top-down, regime-aware baseline.
* `wva_plus(len, , anchor1, slot1, anchor2, slot2, profile)`: The "ultimate" dual-anchor, context-aware baseline.
-----
cPOC 2 DayIt’s perfect for your 2-Day cPOC since:
It derives from volume distribution data.
It highlights market structure, value area, and composite volume behavior.
Traders searching for “cPOC,” “volume profile,” or “market profile” will find it here.
Use this if your indicator’s main function is showing POCs, VAH/VAL, or composite volume balance zones.
If your cPOC script is part of a broader system:
Trend Analysis — if it’s used for directional bias and context with VWAP/EMAs.
Support/Resistance — if the tool primarily highlights POC/VAH/VAL as static levels to trade from.
Other — only if your indicator mixes data from multiple frameworks (e.g., combines orderflow, delta, VWAP, and TPO).
Crypto Correlation Oscillator# Crypto Correlation Oscillator
**Companion indicator for Tri-Align Crypto Trend**
## Overview
The Crypto Correlation Oscillator helps you identify **alpha opportunities** and **market regime changes** by showing how closely your coin follows Bitcoin and other assets over time. It displays rolling correlations as an oscillator in a separate pane below your price chart.
## What It Does
This indicator calculates **Pearson correlations** between different trading pairs on a rolling window (default: 100 bars). Correlations range from **-1.0** (perfect inverse relationship) to **+1.0** (perfect positive relationship), with **0** meaning no correlation.
### The 5 Correlation Lines
1. **Blue (thick line) - Coin vs BTC**: The most important metric
- **High correlation (>0.7)**: Your coin is just following BTC - no independent movement
- **Low correlation (<0.3)**: Your coin has **alpha** - it's moving independently from BTC
- **Negative correlation**: Your coin moves opposite to BTC (rare but powerful)
2. **Purple - Coin/BTC vs BTC**: Inverse relationship check
- **Negative values**: When BTC rises, your coin weakens relative to BTC
- **Positive values**: When BTC rises, your coin strengthens against BTC
3. **Orange - Coin vs Coin/BTC**: Structural consistency check
- Shows how well the Coin/USDT and Coin/BTC pairs maintain their mathematical relationship
- Unusual values can indicate liquidity issues or market inefficiencies
4. **Light Red - Coin vs USDT.D** (optional): Stablecoin dominance correlation
- Shows how your coin correlates with USDT dominance
- Useful for understanding flight-to-safety dynamics
5. **Light Green - Coin vs BTC.D** (optional): Bitcoin dominance correlation
- Shows how your coin correlates with BTC dominance
- Helps identify altcoin season vs BTC dominance cycles
## How to Read It
### Finding Alpha Opportunities
- **Low blue line (<0.3)**: Your coin is decoupled from BTC → potential alpha
- **Blue line dropping**: Coin is gaining independence from BTC
- **Blue line spiking to >0.9**: Coin is a "BTC clone" with no independent movement
### Regime Change Detection
- **Blue line crossing 0.5**: Major shift in correlation behavior
- **Purple line turning negative**: Coin starting to weaken when BTC rises (warning sign)
- **Sharp correlation changes**: Market structure is shifting - adjust strategy
### Visual Zones
- **Blue background**: High correlation zone (>0.7) - coin just following BTC
- **Red background**: Inverse correlation zone (<-0.5) - coin moving opposite to BTC
### Reference Lines
- **+1.0 / -1.0**: Perfect correlation boundaries (dotted gray)
- **+0.5 / -0.5**: Moderate correlation thresholds (dotted gray)
- **0.0**: Zero correlation line (solid gray)
## Dynamic Legend
The legend table (top-right) automatically shows the actual symbol names based on your chart:
- **Example on SOLUSDT**: Shows "SOL vs BTC", "SOL/BTC vs BTC", "SOL vs SOL/BTC", etc.
- **Color boxes**: Match the plot colors for easy identification
- **Live values**: Current correlation numbers update in real-time
- **Tooltips**: Hover over labels for interpretation guidance
## Configuration
### Key Inputs
- **Correlation Lookback** (default: 100): Number of bars for rolling correlation window
- Shorter = more reactive, noisier
- Longer = smoother, slower to detect changes
- **Correlation Smoothing** (default: 5): EMA smoothing period for raw correlations
- Reduces noise while preserving trends
- **Symbol Detection**: Auto-detects symbols from your chart, or use manual overrides
- **Dominance Pairs**: Toggle USDT.D and BTC.D correlations on/off
## Usage Tips
1. **Combine with main Tri-Align indicator**: Use correlation for context, Tri-Align for entry/exit signals
2. **Watch for divergences**: Correlation changing while price moves in sync can signal upcoming shift
3. **Adjust lookback period**: Use shorter (50-70) for day trading, longer (150-200) for position trading
4. **Focus on the blue line**: It's your primary alpha indicator
## Technical Details
- **Calculation**: Pearson correlation coefficient with EMA smoothing
- **Data source**: Close prices from `request.security()` (multi-timeframe capable)
- **Update frequency**: Every bar on your selected timeframe
- **Overlay**: False (displays in separate pane)
## Quick Interpretation Guide
| Blue Line Value | Interpretation | Action |
|----------------|----------------|--------|
| > 0.9 | Coin is a BTC clone | Avoid - no alpha opportunity |
| 0.7 - 0.9 | High correlation | Standard altcoin behavior |
| 0.3 - 0.7 | Moderate correlation | Some independence emerging |
| < 0.3 | Low correlation | **Strong alpha opportunity** |
| < 0 | Inverse correlation | Rare - potential hedge asset |
| Purple Line | Interpretation |
|-------------|----------------|
| Strongly negative | Coin weakens when BTC rises - risky |
| Near zero | Coin/BTC pair moves independently of BTC |
| Positive | Coin strengthens with BTC - ideal |
## Version History
### v1.0 (Initial Release)
- Pearson correlation calculation with configurable lookback
- 5 correlation pairs: Coin vs BTC, Coin/BTC vs BTC, Coin vs Coin/BTC, USDT.D, BTC.D
- EMA smoothing to reduce noise
- Visual zones for high/inverse correlation
- Dynamic legend with symbol name extraction
- Auto-symbol detection matching main Tri-Align indicator
WaleedGhuman SMT/MSS/OF/ModelsAt the core of the WaleedGhuman SMT/MSS/OF/Models indicator lies a sophisticated Smart Money Technique (SMT) Divergence Engine that operates across specific distinct timeframes simultaneously. The result is a comprehensive market analysis tool that bridges the gap between macro market structure and micro price action, delivering institutional-grade divergence analysis in an accessible, visually intuitive format.
KKTT V9Description for Publication
Order Flow + Opening Range Trend Dashboard Combo
This indicator combines Cumulative Volume Delta (CVD) momentum, Opening Range breakout levels, and a Multi-Timeframe Trend Dashboard to provide a complete intraday market view.
Features:
CVD Momentum (Order Flow):
Detects real buying/selling pressure by tracking cumulative delta between bullish and bearish candles.
Buy signal → when CVD crosses above its EMA, price above EMA200, and volume above average.
Sell signal → when CVD crosses below its EMA, price below EMA200, and volume above average.
Opening Range Levels:
Automatically marks the key session opening price, upper breakout (Buy Line), and lower breakout (Sell Line).
Helps identify potential breakout zones for major sessions (e.g., Asia, Europe, US).
Trend Dashboard:
Displays the trend status for multiple timeframes (D1, H4, H1, H15).
Green → Uptrend
Red → Downtrend
Orange → Sideways
Use this dashboard to align intraday signals with higher-timeframe trends.
Usage Tips:
Prioritize buy signals when higher-timeframe trends are bullish.
Prioritize sell signals when higher-timeframe trends are bearish.
Combine with support/resistance zones for better confirmation.
This script provides a clear visualization of order flow strength, market structure, and session volatility — ideal for traders who want to capture directional moves with strong momentum confirmation.
Low and Preceding High (Breakout + Bullis fgv + Extending Fib)🚀 Last Low & Preceding High: Bullish Reversal Strategy
This indicator identifies high-probability long setups by confirming a Bullish Market Structure Shift (BMS) coupled with a strong momentum filter.
🧠 Indicator Logic (How It Works)
The core function of this tool is to automatically locate the key structural points that lead to a bullish bias:
Structure Identification: It first defines a Range between the two most recent Pivot Lows. Within this range, it finds the Preceding High (the highest close before the current low) and the true Low Anchor (the lowest low/tail of the pivot low).
Breakout and Momentum Filter: A valid signal requires two conditions to be met on the current bar:
Bullish Breakout: The price must close above the Preceding High.
Marubozu Confirmation: A strong Bullish Marubozu candle (minimal wicks) must be present in the impulse move from the low, filtering for institutional strength.
Fibonacci Discount Zones: Upon confirmation, the indicator calculates and plots the discount zones (0.50, 0.618, 0.786) using the true extremes (tail-to-tail anchors). These zones start extending from the breakout candle and represent high-value areas for potential entries.
🎯 Entry and Risk Management
The strategy provides clear rules for execution once the logic is confirmed:
Entry Execution:
Wait for Retracement: Enter a Long position when the price retraces back into the colored Discount Zones (0.50 to 0.786).
Risk Control:
🛑 Stop Loss (SL): Placed below the Low Line (the swing low that initiated the move).
✅ Take Profit (TP): Placed above the High Line (the high that was broken).
Final note
"Special thanks to Mr. Mazen (@dr0chart) for developing this strategy."
KeyzoneKeyzone is a dynamic support and resistance framework that identifies price reaction zones using the highest and lowest values over specific lookback periods.
It consists of four pairs of upper and lower lines:
– Keyzone 3 (light green): short-term micro swing zones
– Keyzone 8 (dark green): short-term intraday zones
– Keyzone 21 (orange): medium-term structural zones
– Keyzone 89 (red): long-term major zones
Each Keyzone adapts automatically to price movement, helping traders see where market participants are likely to react. The shorter zones (3, 8) capture quick pullbacks, while the longer zones (21, 89) reveal deeper institutional levels. This makes Keyzone a clear, multi-layered visual map of market structure that adjusts with every new candle.
MTF Support & Resistance (Optimized)🧠 Smart Multi-Timeframe Support & Resistance (4H / 1H)
This advanced indicator automatically detects, clusters, and visualizes high-probability support and resistance levels across multiple timeframes — giving traders a clean and intelligent market map that adapts to price action in real time.
🔍 How It Works
The script scans historical 4-hour and 1-hour charts to identify swing highs and lows using pivot logic.
It then applies ATR-based clustering to merge nearby levels, filters weak or irrelevant zones, and highlights the most significant price reaction areas based on the number of touches and proximity to the current price.
Each level’s thickness and transparency are dynamically adjusted by strength:
Thicker lines = more confirmations (stronger level)
Fainter lines = weaker, less-tested level
⚙️ Main Features
✅ Multi-Timeframe Analysis (4H + 1H)
✅ Automatic pivot detection and level clustering
✅ Smart filtering based on ATR, proximity, and touch count
✅ Dynamic line width and opacity that scale with level strength
✅ Minimal clutter — only the most relevant nearby levels are displayed
✅ Color-coded visualization for quick interpretation
🔴 Red = 4H Resistance
🟢 Lime = 4H Support
🟠 Orange = 1H Resistance
🟦 Aqua = 1H Support
🎯 Ideal For
Scalpers, swing traders, and intraday analysts who want:
A clear visual map of major reaction zones
Automatic detection of high-confluence levels
A smart, adaptive system that works across assets and timeframes
📈 Usage Tips
Combine with volume, order-flow, or market-structure tools for confluence.
Use higher-strength levels (thicker lines) as bias zones for entries and exits.
Enable or disable 4H/1H visibility to match your trading style.
Built with precision and performance in mind — this Smart S&R system transforms raw swing data into a readable, multi-layered price map for confident trading decisions.
Time & Session Dividers### indicator Summary
This indicator is a powerful utility designed to help you visualize time-based market structure by drawing customizable vertical lines on your chart. It allows you to clearly mark the beginning of new timeframes (like hours, days, or weeks) and highlight specific trading sessions or time slots (like the London open or a news event).
It comes with **6 independent dividers** that you can configure to your exact needs:
* **3 Timeframe Dividers**
* **3 Custom Time Slot Dividers**
### Key Features
* **Timeframe Separators:** Set up to 3 different higher timeframes (e.g., 1H, 4H, 1D). The indicator will automatically draw a vertical line at the start of each new bar for that timeframe, helping you easily see hourly, daily, or weekly boundaries.
* **Custom Time Slots (Sessions):** Define up to 3 specific time windows (e.g., "09:30-16:00" for the New York session). The indicator will draw a line at the **start** of this session and another line at the **end**, allowing you to isolate specific periods of market activity.
* **Full Customization:** Each of the 6 dividers is fully independent and can be customized with:
* A simple toggle to turn it on or off.
* A unique color.
* A line style (Solid, Dotted, or Dashed).
* A toggle to show or hide its text label.
* **Smart Labels:** Labels for timeframe dividers display the timeframe (e.g., "4H"), while labels for time slots automatically format to show the precise start or end time (e.g., "09:30" and "16:00").
### How to Use
1. Add the "Timeframe Vertical Lines" indicator to your chart.
2. Open the indicator's **Settings** panel.
3. **To add a timeframe line (e.g., Daily):**
* Go to the "Timeframe Divider 1" group.
* Check the "Show Divider 1" box.
* Set the "Timeframe 1" to "1D".
* Adjust the color, style, and text visibility to your liking.
4. **To add a session line (e.g., London Session):**
* Go to the "Time Slot Divider 1" group.
* Check the "Show Time Slot Divider 1" box.
* Set the "Time Slot 1" to your desired session, e.g., "0800-1700".
* Adjust the color and style. The script will now draw lines at 08:00 and 17:00 (based on the chart's timezone).
5. Repeat the process using the other available divider slots to build a complete temporal map of your chart.
Pivots High Low Live DetectionPivots High Low Live Detection
Identifies and visualizes swing highs and lows on the chart in real time.
Helps to observe evolving market structure by connecting confirmed or developing pivot points with lines and labels.
Using a configurable lookback, minimum deviation, and confirmation bar system, the indicator highlights new Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) as they form.
When “Live (repainting)” mode is enabled, the current swing leg updates dynamically with each candle, giving immediate feedback as price develops.
When disabled, only confirmed pivots are plotted, ideal for historical validation and backtesting.
+ Key Features
Detects and labels major swing points (HH, HL, LH, LL).
Works in live or confirmed (non-repainting) mode.
Adjustable parameters for lookback, deviation (in ticks), and confirmation bars.
Lightweight and compatible with any timeframe or symbol.
Includes runtime alerts for new structural pivots and direction shifts.
+ How to Use
Adjust the inputs under the “Pivots” group to control sensitivity.
Enable “Live (repainting)” to see developing swing legs, or disable it for confirmed structure only.
Use alerts to track structural changes or potential trend reversals.
Swing LevelsThe Swing Levels indicator automatically detects and plots recent swing highs and lows on the chart, turning them into dynamic support and resistance levels.
Each new swing point creates a horizontal line that extends forward in time until price “fills” (touches or breaks) that level. Once a level is filled, it can either disappear or remain visible — depending on your settings.
You can enable alerts to be notified whenever price fills a swing high (breaks resistance) or a swing low (breaks support).
A lookback filter allows limiting how far back in history swing levels are drawn, helping keep the chart clean and efficient.
Main benefits:
• Automatically tracks key market structure turning points
• Helps visualize support and resistance zones in real time
• Optional alerts for breakout confirmations
• Fully customizable colors, line styles, and management behavior
• Works on any timeframe or market
In short:
Swing Levels gives you a clear and automated view of where price has recently reversed — powerful zones where liquidity and reactions often occur again.
Сreated with vibecoding using ChatGPT and Claude.
FU Candle Detector (Smart Money Concept) En Anglais🧠 Overall concept: “FU Candle” in Smart Money logic
In the context of Smart Money Concepts (SMC) or ICT (Inner Circle Trader), an FU Candle (also known as a “Fakeout Candle” or “Manipulation Candle”) is a candle that:
Creates an imbalance or a break (often above a swing high or below a swing low),
Attracts liquidity by trapping retail traders (liquidity grab),
Then abruptly reverses direction, revealing the hand of “Smart Money” (large institutions).
It therefore often marks:
The point of manipulation before an impulsive movement (reversal),
An area of interest for entering in the institutional direction (after the liquidity grab).
---
⚙️ How the “FU Candle Detector” script works
The script identifies these candlesticks by observing several typical criteria:
1. Detection of the manipulative candle (FU Candle)
Search for a candlestick that breaks a previous swing (significant high or low),
But closes in the opposite direction, often below/above the broken zone,
Thus indicating a fakeout.
Examples:
Bullish FU Candle: breaks a previous low, but closes bullish.
Bearish FU Candle: breaks a previous high, but closes bearish.
---
2. Visualization on the chart
The script generally displays:
🔴 Red markers for bearish FUs (Fake Breakout upwards),
🟢 Green markers for bullish FUs (Fake Breakout downwards),
🟦 Rectangles of areas of interest (often around the FU Candle Open),
📏 Horizontal lines on areas of imbalance (OB/FVG if integrated).
---
3. Possible additions depending on the version
Depending on the version you have received, the script can also:
Detect Fair Value Gaps (FVG) around FU Candles,
Mark Order Blocks (OB) associated with manipulation,
Add alerts when new FU Candles are detected,
Calculate the distance between the manipulation point and the price return,
Filter according to candle size, volume, or market structure (MSB/CHoCH).
---
🎯 Practical use
FU Candles are often used:
As confirmation of an imminent reversal,
To identify institutional entry zones (hidden Order Block),
To anticipate the direction of the next impulse after the liquidity hunt.
Typical entry example:
> Wait for the formation of an FU Candle + price return within the candle body = entry in the opposite direction to the false breakout.
📈 Recommended combinations
This detector is often combined with:
Structure Break Indicator (CHoCH / BOS)
Liquidity Pool Zones
Fair Value Gap Finder
Order Block Detector
This gives you a complete Smart Money Concept system, capable of mapping:
1. Where liquidity has been taken,
2. Where the price is rebalancing,
3. Where Smart Money is repositioning its orders.
Kalman VWAP Filter [BackQuant]Kalman VWAP Filter
A precision-engineered price estimator that fuses Kalman filtering with the Volume-Weighted Average Price (VWAP) to create a smooth, adaptive representation of fair value. This hybrid model intelligently balances responsiveness and stability, tracking trend shifts with minimal noise while maintaining a statistically grounded link to volume distribution.
If you would like to see my original Kalman Filter, please find it here:
Concept overview
The Kalman VWAP Filter is built on two core ideas from quantitative finance and control theory:
Kalman filtering — a recursive Bayesian estimator used to infer the true underlying state of a noisy system (in this case, fair price).
VWAP anchoring — a dynamic reference that weights price by traded volume, representing where the majority of transactions have occurred.
By merging these concepts, the filter produces a line that behaves like a "smart moving average": smooth when noise is high, fast when markets trend, and self-adjusting based on both market structure and user-defined noise parameters.
How it works
Measurement blend : Combines the chosen Price Source (e.g., close or hlc3) with either a Session VWAP or a Rolling VWAP baseline. The VWAP Weight input controls how much the filter trusts traded volume versus price movement.
Kalman recursion : Each bar updates an internal "state estimate" using the Kalman gain, which determines how much to trust new observations vs. the prior state.
Noise parameters :
Process Noise controls agility — higher values make the filter more responsive but also more volatile.
Measurement Noise controls smoothness — higher values make it steadier but slower to adapt.
Filter order (N) : Defines how many parallel state estimates are used. Larger orders yield smoother output by layering multiple one-dimensional Kalman passes.
Final output : A refined price trajectory that captures VWAP-adjusted fair value while dynamically adjusting to real-time volatility and order flow.
Why this matters
Most smoothing techniques (EMA, SMA, Hull) trade off lag for smoothness. Kalman filtering, however, adaptively rebalances that tradeoff each bar using probabilistic weighting, allowing it to follow market state changes more efficiently. Anchoring it to VWAP integrates microstructure context — capturing where liquidity truly lies rather than only where price moves.
Use cases
Trend tracking : Color-coded candle painting highlights shifts in slope direction, revealing early trend transitions.
Fair value mapping : The line represents a continuously updated equilibrium price between raw price action and VWAP flow.
Adaptive moving average replacement : Outperforms static MAs in variable volatility regimes by self-adjusting smoothness.
Execution & reversion logic : When price diverges from the Kalman VWAP, it may indicate short-term imbalance or overextension relative to volume-adjusted fair value.
Cross-signal framework : Use with standard VWAP or other filters to identify convergence or divergence between liquidity-weighted and state-estimated prices.
Parameter guidance
Process Noise : 0.01–0.05 for swing traders, 0.1–0.2 for intraday scalping.
Measurement Noise : 2–5 for normal use, 8+ for very smooth tracking.
VWAP Weight : 0.2–0.4 balances both price and VWAP influence; 1.0 locks output directly to VWAP dynamics.
Filter Order (N) : 3–5 for reactive short-term filters; 8–10 for smoother institutional-style baselines.
Interpretation
When price > Kalman VWAP and slope is positive → bullish pressure; buyers dominate above fair value.
When price < Kalman VWAP and slope is negative → bearish pressure; sellers dominate below fair value.
Convergence of price and Kalman VWAP often signals equilibrium; strong divergence suggests imbalance.
Crosses between Kalman VWAP and the base VWAP can hint at shifts in short-term vs. long-term liquidity control.
Summary
The Kalman VWAP Filter blends statistical estimation with market microstructure awareness, offering a refined alternative to static smoothing indicators. It adapts in real time to volatility and order flow, helping traders visualize balance, transition, and momentum through a lens of probabilistic fair value rather than simple price averaging.
Price–Volume Anomaly DetectorDescription
This indicator identifies unusual relationships between price strength and trading volume. By analyzing expected intraday volume behavior and comparing it with current activity, it highlights potential exhaustion, absorption, or expansion events that may signal changing market dynamics.
How It Works
The script profiles average volume by time of day and compares current volume against this adaptive baseline. Combined with normalized price movement (ATR-based), it detects conditions where price and volume diverge:
Exhaustion: Strong price move on low volume (potential fade)
Absorption: Weak price move on high volume (potential reversal)
Expansion: Strong price move on high volume (momentum continuation)
Key Features
Adaptive time-based volume normalization
Configurable sensitivity thresholds
Optional visibility for each anomaly type
Adjustable label transparency and offset
Light Mode support: label text automatically adjusts for dark or light chart backgrounds
Lightweight overlay design
Inputs Overview
Volume Profile Resolution: Defines time bucket size for expected volume
[* ]Lookback Days: Controls how quickly the profile adapts
Price / Volume Thresholds: Tune anomaly sensitivity
Show Expansion / Exhaustion / Absorption: Toggle specific labels
Label Transparency & Offset: Adjust chart visibility
How to Use:
Apply the indicator to any chart or timeframe.
Observe where labels appear:
🔴 Exhaustion: strong price, weak volume
🔵 Absorption: weak price, strong volume
🟢 Expansion: strong price, strong volume
Use these as context clues, not trade signals — combine with broader volume or trend analysis.
How It Helps
Reveals hidden price–volume imbalances
Highlights areas where momentum may be fading or strengthening
Enhances understanding of market behavior beyond raw price action
⚠️Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
UTS CORE + BOS + CHOCH – RR/TP/SL 📊 Indicator Working Principle
### 🔹 1. BOS (Break of Structure)
* **Definition:** Occurs when the price breaks the previous swing high or swing low level.
* **Interpretation:**
* If the last high is broken upwards → **Bullish BOS** (confirmation of uptrend).
* If the last low is broken downwards → **Bearish BOS** (confirmation of downtrend).
---
### 🔹 2. CHOCH (Change of Character)
* **Definition:** Indicates a trend reversal.
* **Interpretation:**
* In an uptrend, if the last low is broken downwards → **CHOCH↓** (start of downtrend).
* In a downtrend, if the last high is broken upwards → **CHOCH↑** (start of uptrend).
* **Chart:** Blue “CHOCH↑” labels on the chart mark trend reversals.
---
### 🔹 3. FVG (Fair Value Gap)
* **Definition:** A price gap formed between 3 candles.
* **Logic:**
* If the low of one candle stays above the high of the candle two bars back, a gap is created.
* Price tends to return to these gaps to “fill” them.
* **Chart:** The indicator highlights these gaps automatically (green/purple lines).
---
### 🔹 4. Signal Generation (BUY / SELL)
* A valid BOS or CHOCH confirmation + presence of FVG → **signal is triggered.**
* **Rules:**
* Upward break → **BUY signal**
* Downward break → **SELL signal**
* **Chart:** Red “SELL” and green “BUY” labels represent these trade signals.
---
### 🔹 5. RR – TP/SL Management
* When a trade is opened, the indicator automatically calculates **Entry, Stop Loss (SL), and Take Profits (TP1, TP2, TP3).**
* **Risk/Reward ratios:**
* TP1 = 1R
* TP2 = 2R
* TP3 = 3R
* If TP1 is hit and “Breakeven” option is enabled → SL moves to entry (risk-free trade).
---
👉 In short: this indicator tracks **market structure (BOS/CHOCH)**, detects **imbalances (FVG)**, and combines them with **risk/reward management (TP/SL)** to give you a ready-made trade
WorldCup Dashboard + Institutional Sessions© 2025 NewMeta™ — Educational use only.
# Full, Premium Description
## WorldCup Dashboard + Institutional Sessions
**A trade-ready, intraday framework that combines market structure, real flow, and institutional timing.**
This toolkit fuses **Institutional Sessions** with a **price–volume decision engine** so you can see *who is active*, *where value sits*, and *whether the drive is real*. You get: **CVD/Delta**, volume-weighted **Momentum**, **Aggression** spikes, **FVG (MTF)** with nearest side, **Daily Volume Profile (VAH/POC/VAL)**, **ATR regime**, a **24h position gauge**, classic **candle patterns**, IBH/IBL + **first-hour “true close”** lines, and a **10-vote confluence scoreboard**—all in one view.
---
## What’s inside (and how to trade it)
### 🌍 Institutional Sessions (Sydney • Tokyo • London • New York)
* Session boxes + a highlighted **first hour**.
* Plots the **true close** (first-hour close) as a running line with a label.
**Use:** Many desks anchor risk to this print. Above = bullish bias; below = bearish. **IBH/IBL** breaks during London/NY carry the most signal.
### 📊 CVD / Delta (Flow)
* Net buyer vs seller pressure with smooth trend state.
**Use:** **Rising CVD + acceptance above mid/POC** confirms continuation. Bearish price + rising CVD = caution (possible absorption).
### ⚡ Volume-Weighted Momentum
* Momentum adjusted by participation quality (volume).
**Use:** Momentum>MA and >0 → trend drive is “real”; <0 and falling → distribution risk.
### 🔥 Aggression Detector
* ROC × normalized volume × wick factor to flag **forceful** candles.
**Use:** On spikes, avoid fading blindly—wait for pullbacks into **aligned FVG** or for aggression to cool.
### 🟦🟪 Fair Value Gaps (with MTF)
* Detects up to 3 recent FVGs and marks the **nearest** side to price.
**Use:** Trend pullbacks into **bullish FVG** for longs; bounces into **bearish FVG** for shorts. Optional threshold to filter weak gaps.
### 🧭 24h Gauge (positioning)
* Shows current price across the 24h low⇢high with a mid reference.
**Use:** Above mid and pushing upper third = momentum continuation setups; below mid = sell the rips bias.
### 🧱 Daily Volume Profile (manual per day)
* **VAH / POC / VAL** derived from discretized rows.
**Use:** **POC below** supports longs; **POC above** caps rallies. Fade VAH/VAL in ranges; treat them as break/hold levels in trends.
### 📈 ATR Regime
* **ATR vs ATR-avg** with direction and regime flag (**HIGH / NORMAL / LOW**).
**Use:** HIGH ⇒ give trades room & favor trend following. LOW ⇒ fade edges, scale targets.
### 🕯️ Candle Patterns (contextual, not standalone)
* Engulfings, Morning/Evening Star, 3 Soldiers/Crows, Harami, Hammer/Shooting Star, Double Top/Bottom.
**Use:** Only with session + flow + momentum alignment.
### 🤝 Price–Volume Classification
* Labels each bar as **continuation**, **exhaustion**, **distribution**, or **healthy pullback**.
**Use:** Align continuation reads with trend; treat “Price↑ + Vol↓” as a caution flag.
### 🧪 Confluence Scoreboard & B/S Meter
* Ten elements vote: 🔵 bull, ⚪ neutral, 🟣 bear.
**Use:** Execution filter—take setups when the board’s skew matches your trade direction.
---
## Playbooks (actionable)
**Trend Pullback (Long)**
1. London/NY active, Momentum↑, CVD↑, price above 24h mid & POC.
2. Pullback into **nearest bullish FVG**.
3. Invalidate under FVG low or **true-close** line.
4. Targets: IBH → VAH → 24h high.
**Range Fade (Short)**
1. Asia/quiet regime, **Price↑ + Vol↓** into **VAH**, ATR low.
2. Nearest FVG bearish or scoreboard skew bearish.
3. Invalidate above VAH/IBH.
4. Targets: POC → VAL.
**News/Impulse**
Aggression spike? Don’t chase. Let it pull back into the aligned FVG; require CVD/Momentum agreement before entry.
---
## Alerts (included)
* **Bull/Bear Confluence ≥ 7/10**
* **Intraday Target Achieved** / **Daily Target Achieved**
* **Session True-Close Retests** (Sydney/Tokyo/London/NY)
*(Keep alerts “Once per bar” unless you specifically want intrabar triggers.)*
---
## Setup Tips
* **UTC**: Choose the reference that matches how you track sessions (default UTC+2).
* **Volume threshold**: 2.0× is a strong baseline; raise for noisy alts, lower for majors.
* **CVD smoothing**: 14–24 for scalps; 24–34 for slower markets.
* **ATR lengths**: Keep defaults unless your asset has a persistent regime shift.
---
## Why this framework?
Because **timing (sessions)**, **truth (flow)**, and **location (value/FVG)** together beat any single signal. You get *who is trading*, *how strong the push is*, and *where risk lives*—on one screen—so execution is faster and cleaner.
---
**Disclaimer**: Educational use only. Not financial advice. Markets are risky—backtest and size responsibly.
ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low
This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions.
It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR).
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⚙️ Core Logic
-Asia Session: 8:00 PM – 11:59 PM (New York time)
-London Session: 2:00 AM – 5:00 AM (New York time)
-The script marks the Asia High/Low and London High/Low ranges for each day.
-When the market sweeps above a session high → potential Short setup
-When the market sweeps below a session low → potential Long setup
-A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep).
-Only one trade per sweep type (1 per High, 1 per Low) is allowed per session.
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📈 Risk Management
-Configurable Risk/Reward Target (default = 2:1)
-Configurable Position Size (number of contracts)
-Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting.
-All trades are automatically logged in the Strategy Tester with performance metrics.
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💡 Features
✅ Visual session highlighting (Asia = Aqua, London = Orange)
✅ Automatic liquidity line plotting (session highs/lows)
✅ Entry & exit labels (optional visual display)
✅ Customizable RR and contract size
✅ Works on any instrument (ideal for indices, futures, or forex)
✅ Compatible with all timeframes (optimized for 1M–15M)
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⚠️ Notes
-Best used on New York time-based charts.
-Designed for educational and backtesting purposes — not financial advice.
-Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions).
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🧩 Recommended Use
Pair this with:
-ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps)
-Higher timeframe liquidity maps
-Session bias or daily narrative filters
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Author: jygirouard
Strategy Version: 1.3
Type: ICT Liquidity Sweep Automation
Timezone: America/New_York
