Order BlocksThis is experimental Indicator is to help identifying Order Blocks.
It uses not confirmed higher order pivots as Higher Highs (HH) and Lower Lows (LL), finds high/lows that created most recent LL/HH and in case if this high/low are broken it notes candle that broke structure, market structure broke line (MSB) and demand box (candle that created liquidity for the move that broke structure).
Concepts and parts of code used in this study:
1) @rumpypumpydumpy - Higher Order Pivots
2) @MarkMiddleton2020 - Order Blocks
Search in scripts for "market structure"
Broken Fractal : Someone's broken dream is your profit!Idea
The idea is simple : when market turns around, it traps a bunch of traders off guard. We trade with them, in the same direction of their exit!
Method
We let the market first create a fractal
We then let the market create an opposite fractal
We then let the market break the first fractal it created, thereby trapping lots of trades in the process
We then patiently wait till the market gives these trapped traders a chance to exit - and we trade in the same direction
How to use?
Green boxes are for long entry, red boxes are for short.
Whenever a box appears, that's the risk criteria - setup limit orders and trade along!
Works on all timeframes
If you like this script, please leave a note on how you are using it.
I personally use it with Higher Timeframe bias.
PS1 : some traders call this Break of market structure, some call it Breaker, I just call it "Broken Fractal"
PS2 : Break of a broken fractal is also very potent. Watch out for those!
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.
+ 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
Previous Day OHLC with Fib LevelThe Previous Day OHLC indicator is designed to help traders identify key price levels from the previous trading session. These levels often act as important zones of support, resistance, and market reaction points during the current day’s price action.
This indicator automatically plots the Previous Day’s Open, High, Low, and Close on any intraday timeframe, making it a powerful tool for day traders, scalpers, and swing traders who rely on market structure and session behavior.
High Volume Zones with Signals – HVZ█ OVERVIEW
"High Volume Zones with Signals – HVZ" is a technical analysis indicator that identifies High Volume Zones (HVZ) on the chart and draws them as fully customizable boxes. Perfect for traders using price action, ICT, and Smart Money Concepts. The indicator highlights key volume-based support/resistance levels, detects potential consolidation zones (very large candles), and generates precise breakout and exit signals. Flexible volume filters, ATR filter, and visual styling options ensure a clean and highly effective chart.
█ CONCEPTS
The indicator detects candles with volume significantly above the average (default ≥ 2× SMA of volume over 20 periods). Such candles often signal institutional activity and create strong supply/demand zones.
The ATR filter additionally identifies very large candles – frequently a sign of market capitulation (panic buying/selling). Within the range of such a candle, prolonged consolidation often occurs, especially on higher timeframes (e.g., 4H and above).
Why are HVZ important? High-volume zones are areas where the market has left a large number of orders – institutions return there to “refresh” liquidity before the next move. A breakout against the zone’s character triggers a Break signal:
- Bullish HVZ broken downward (close below the lower boundary) → Break Down (sell),
- Bearish HVZ broken upward (close above the upper boundary) → Break Up (buy).
Note: The indicator requires real exchange volume – it will not work correctly on instruments without reported volume (e.g., certain CFDs or forex).
█ FEATURES
- HVZ Detection: Automatic identification of high-volume zones with Volume SMA Length and Volume Multiplier filters; historical initialization up to 500 candles back.
- ATR Filter: Optional detection of very large candles (potential consolidation/capitulation) using - ATR Length and ATR Multiplier; three action modes:
Skip Zone – large candle creates no zone,
Separate Color – zone is drawn in a distinct style (gray by default),
Normal Zone – treated like a regular HVZ.
- Gray zones (large candles, Separate Color): generate exactly the same Break signals as regular zones – based solely on the original candle direction (bullish → Break Down on lower break, bearish → Break Up on upper break). Gray color is only a visual marker for potential consolidation/capitulation zones.
- Customizable Boxes: Separate styles for bullish and bearish zones (border color, background gradient, line thickness and style); adjustable background and 50 % midline transparency.
- Break & Exit Signals:
Break Up/Down – green/red triangle after a candle closes outside the zone (zone disappears, triangle remains as a trace).
Exit Up/Down – green/red circle when price leaves the zone without a full breakout.
Signal Type option: Break, Exit, or Both.
- Midline: Automatic dashed line at the 50 % zone level with independent transparency control.
- Chart Cleanup: Automatic removal of inactive zones older than 500 candles (max_boxes_count=500).
- Alerts: Built-in alerts for Break Up and Break Down with clear messages.
█ HOW TO USE
Add to Chart: Paste the script in Pine Editor or find it in TradingView’s indicator library.
Configure Settings:
- Volume Filter: Volume SMA Length (default 20) and Volume Multiplier (default 2.0) – higher multiplier = fewer but stronger zones.
- ATR Filter: Enable/disable, set ATR Length (14) and ATR Multiplier (3.5); choose action for very large candles (Skip Zone / Separate Color / Normal Zone).
- Box Style: Background transparency (90) and midline transparency (70).
- Bull/Bear Box Style: Border and gradient colors, line thickness (1-5).
- ATR Style: Separate colors for large-candle zones (gray by default).
- Signal Settings: Choose Signal Type (Break/Exit/Both) and signal colors.
Signal Interpretation:
- Break Up (green triangle below bar): Bearish HVZ broken upward → buy signal, continuation of uptrend.
- Break Down (red triangle above bar): Bullish HVZ broken downward → sell signal, continuation of downtrend.
- Exit Up/Down (circles): Price leaves zone without breakout – may signal end of correction or reversal setup.
- HVZ Zones: Price often returns to high-volume zones to clear orders. An unfilled zone remains a price magnet.
- 50 % Level (midline): Ideal target for partial take-profit or reaction point inside the zone.
Combine signals with other tools (e.g., RSI, MACD, higher timeframes) for higher confidence.
█ APPLICATIONS
- Price Action & ICT: HVZ act as dynamic S/R; in an uptrend look for buys after breaking a bearish HVZ, in a downtrend look for sells after breaking a bullish HVZ. If you trade retests instead of breakouts, increase Volume Multiplier to 2.5-3.0 – fewer zones but much stronger. Note that after breaking a very strong zone, price often pulls back deeply before continuing.
- Breakout Strategies: For maximum Break signals, lower Volume Multiplier to 1.5-1.8 – gives many high-quality entries in trending markets. Always trade in the direction of the prevailing trend (e.g., only longs in uptrends). Enter after a Break signal with confirmation from volume or momentum (MACD above zero, RSI >50 for longs, <50 for shorts).
█ NOTES
- The indicator requires real exchange volume – it will not function properly on instruments without reported volume (e.g., certain CFDs, forex).
- Always confirm signals with additional context (market structure, higher timeframe).
Trendlines with Breaks Oscillator [LuxAlgo]The Trendlines with Breaks Oscillator is an oscillator based on the Trendlines with Breaks indicator, and tracks the maximum distance on price from bullish and bearish trendline breakouts.
The oscillator features divergences and trendline breakout detection.
🔶 USAGE
This tool is based on our Trendlines with Breaks indicator, which detects bullish and bearish trendlines and highlights the breaks on the chart. Now, we bring you this tool as an oscillator.
The oscillator calculates the maximum distance between the price and the break of each trendline, for both bullish and bearish cases, then calculates the delta between both.
When the oscillator is above 0, the market is in an uptrend; when it is below 0, it is in a downtrend. An ascending slope indicates positive momentum, and a descending slope indicates negative momentum.
Trendline breaks are displayed as green and red dots on the oscillator. A green dot corresponds to a bullish break of a descending trendline, and a red dot corresponds to a bearish break of an ascending trendline.
The oscillator calculation depends on two parameters from the settings panel: short and long alpha length. These parameters are used to calculate a synthetic EMA with a variable alpha for both bullish and bearish breaks. The final result is the difference between the two averages.
As shown in the image, using the same trend detection parameters but different alphas can produce very different results. The larger the alphas, the smoother the oscillator becomes, detecting bigger trends but making it less reactive.
This tool features the same trendline detection system as the Trendlines with Breaks indicator, which is based on three main parameters: swing length, slope, and calculation method.
As we can see in the image above, the data collected for the oscillator calculation will be different when using different parameters. A larger length detects larger trends. A larger slope or a different calculation method also impacts the final result.
🔹 Signal Line
The signal line is a smoothed version of the oscillator; traders can choose the smoothing method and length used from the settings panel.
In the image, the signal line crossings are displayed as vertical lines. As we can see, the market usually corrects downward after a bearish crossing and corrects upward after a bullish crossing.
Traders can choose among 10 different smoothing methods for the signal line. In the image, we can see how different methods and lengths give different outputs.
🔹 Divergences
The tool features a divergence detector that helps traders understand the strength behind price movements. Traders can adjust the detection length from the settings panel.
As shown in the image, a bearish divergence occurs when the price prints higher highs, but the momentum on the histogram prints lower highs. A bullish divergence occurs when the price prints lower lows, but the histogram prints higher lows.
By adjusting the length of the divergence detector, traders can filter out smaller divergences, allowing the tool to only detect more significant ones.
The image above depicts divergences detected with different lengths; the larger the length, the bigger the divergences are detected.
🔶 SETTINGS
🔹 Trendlines
Swing Detection Lookback: The size of the market structure used for trendline detection.
Slope: Slope steepness, a value of 0 gives horizontal levels, values larger than 1 give a steeper slope
Slope Calculation Method: Choose how the slope is calculated
🔹 Oscillator
Short Alpha Length: Synthetic EMA short period
Long Alpha Length: Synthetic EMA long period
Smoothing Signal: Choose the smoothing method and period
Divergences: Enable or disable divergences and select the detection length.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Triple Linear Regression Channel [CongTrader]🏷️ Triple Linear Regression Channel
A multi-timeframe linear regression channel tool for traders who seek clarity between short-term volatility and long-term trend direction.
📘 Overview
The Triple Linear Regression Channel is a professional-grade visualization tool that plots three adaptive linear regression channels directly on your chart:
Two long-term channels — representing the broader market structure and directional bias.
One short-term channel — reflecting short-term momentum, pullbacks, and volatility compression zones.
Each channel dynamically updates with price movement, providing a visual map of trend strength, mean reversion areas, and volatility boundaries.
⚙️ How It Works
Each channel is based on:
A linear regression line calculated from a rolling price window.
Standard deviation bands (configurable via multiplier) to define upper and lower channel limits.
This combination allows traders to clearly see where price deviates significantly from its statistical mean — an essential concept for trend continuation or mean reversion strategies.
📈 How to Use
Identify the Trend:
The long-term channels (default: 100 & 300 bars) indicate the dominant market direction.
When both long channels slope upward → long bias; downward → short bias.
Find Tactical Entries:
Use the short-term channel (default: 25 bars) for entries within the major trend.
A price touch near the lower band in an uptrend or upper band in a downtrend may signal a pullback opportunity.
Volatility Analysis:
The distance between the channel lines reflects market volatility.
Narrowing bands = compression phase → possible breakout ahead.
Customization Tips:
Adjust the Std Dev Multiplier to widen or tighten sensitivity.
Extend future bars (Extend Lines by Bars) to project trend paths visually.
🌟 Key Features
✅ Three independently calculated linear regression channels (short + two long)
✅ Dynamic, real-time updates with customizable parameters
✅ Visual color distinction for quick trend and volatility recognition
✅ Lightweight and efficient (optimized for chart performance)
✅ Suitable for any market or timeframe
🔬 Technical Notes
Built with Pine Script® v5 using custom regression and standard deviation functions.
Channels update on every bar for precision; repaint behavior is limited to natural regression recalculation.
Works seamlessly on all assets: crypto, forex, stocks, indices, and futures.
🙏 Credits & Acknowledgement
Developed with dedication by CongTrader (2025) for the TradingView community.
Inspired by classic regression channel concepts, this version adds a unique multi-layer visualization and smoother plotting logic for modern traders.
Special thanks to the global Pine coders and TradingView community for their continuous inspiration and support.
🏁 Disclaimer
This script is for educational and analytical purposes only and should not be considered financial advice.
Always perform your own analysis before making trading decisions.
#regression #trend #channel #volatility #technicalanalysis #tradingtools
Choch Pattern Levels WITH ALERTS [credit to: @BigBeluga]🔵 OVERVIEW
The Choch Pattern Levels WITH ALERTS indicator automatically detects Change of Character (CHoCH) shifts in market structure — crucial moments that often signal early trend reversals or major directional transitions. It plots the structural break level, visualizes the pattern zone with triangle overlays, and tracks delta volume to help traders assess the strength behind each move. Now, an additional feature of alerts have been included!
🔵 CONCEPTS
CHoCH Pattern: A bullish CHoCH forms when price breaks a previous swing high after a swing low, while a bearish CHoCH appears when price breaks a swing low after a prior swing high.
snapshot
Break Level Mapping: The indicator identifies the highest or lowest point between the pivot and the breakout, marking it with a clean horizontal level where price often reacts.
snapshot
Delta Volume Tracking: Net bullish or bearish volume is accumulated between the pivot and the breakout, revealing the momentum and conviction behind each CHoCH.
snapshot
Chart Clean-Up: If price later closes through the CHoCH level, the zone is automatically removed to maintain clarity and focus on active setups only.
🔵 FEATURES
Automatic CHoCH pattern detection using pivot-based logic.
Triangle shapes show structure break: pivot → breakout → internal high/low.
snapshot
snapshot
Horizontal level marks the structural zone with a ◯ symbol.
snapshot
Optional delta volume label with directional sign (+/−).
Green visuals for bullish CHoCHs, red for bearish.
Fully auto-cleaning invalidated levels to reduce clutter.
Clean organization of all lines, labels, and overlays.
User-defined Length input to adjust pivot sensitivity.
snapshot
NEW! - alert system inserted to Pinescript for either: any triangle forms or whether a bullish "green" triangle or bearish "red" triangle forms - providing real-time alerts for whenever timeframe chart you've selected while creating the alert.
🔵 HOW TO USE
Use CHoCH levels as early trend reversal zones or confirmation signals.
Treat bullish CHoCHs as support zones, bearish CHoCHs as resistance.
Look for high delta volume to validate the strength behind each CHoCH.
Combine with other BigBeluga tools like supply/demand, FVGs, or liquidity maps for confluence.
Adjust pivot Length based on your strategy — shorter for intraday, longer for swing trading.
🔵 CONCLUSION
Choch Pattern Levels WITH ALERTS highlights key structural breaks that can mark the start of new trends. By combining precise break detection with volume analytics and automatic cleanup, it provides actionable insights into the true intent behind price moves — giving traders a clean edge in spotting early reversals and key reaction zones with real-time alerts for precision to evaluate and enter markets.
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.
