Candle Channel█ OVERVIEW
The "Candle Channel" indicator is a versatile technical analysis tool that plots a price channel based on the Simple Moving Average (SMA) of candlestick midpoints. The channel bands, calculated based on candlestick volatility, form dynamic support and resistance levels that adapt to price movements. The script generates signals for reversals from the bands and SMA breakouts, making it useful for both short-term and long-term traders. By adjusting the SMA length, the channel can vary in nature—from a wide channel encapsulating price movement to narrower support/resistance or trend-following bands. The channel width can be further customized using a scaling parameter, allowing adaptation to different trading styles and markets.
█ MECHANISM
Band Calculation
The indicator is based on the following calculations:
Candlestick Midpoint: Calculated as the arithmetic average of the candle’s high and low prices: (high + low) / 2.
Simple Moving Average (SMA): The average of candlestick midpoints over a specified length (default: 20 candles), forming the channel’s centerline.
Average Candle Height: Calculated as the average difference between the high and low prices (high - low) over the same SMA length, serving as a measure of market volatility.
Band Scaling: The user specifies a percentage of the average candle height (default: 200%), which is multiplied by the average height to create an offset. The upper band is SMA + offset, and the lower band is SMA - offset.Example: For an average candle height of 10 points and 200% scaling, the offset is 20 points, meaning the bands are ±20 points from the SMA.
Channel Characteristics: The SMA length determines the channel’s dynamics. Shorter SMA values (10–30) create a wide channel that contains price movement, ideal for scalping or short-term trading. Longer SMA values (above 30, e.g., 50–100) transform the channel into narrower support/resistance or trend-following bands, suitable for longer-term analysis. Band scaling further adjusts the channel width to match market volatility.
Signals
Reversal from Bands: Signals are generated when the price closes outside the band (above the upper or below the lower) and then returns to the channel, indicating a potential trend reversal.
SMA Breakout: Signals are generated when the price crosses the SMA upward (bullish signal) or downward (bearish signal), suggesting potential trend changes.
Visualization
Centerline: The SMA of candlestick midpoints, displayed as a thin line.
Channel Bands: Upper and lower channel boundaries, with customizable colors.
Fill: Options include a gradient (smooth color transition between bands) or solid color. The fill can also be disabled for greater clarity.
█ FEATURES AND SETTINGS
SMA Length: Determines the moving average period (default: 20). Values of 10–30 are suitable for a wide channel containing price movement, ideal for short-term timeframes. Longer values (e.g., 50–100) create narrower support/resistance or trend-following bands, better suited for higher timeframes.
Band Scaling: Percentage of the average candle height (default: 200%). Adjusts the channel width to match market volatility—smaller values (e.g., 50–100%) for narrower bands, larger values (e.g., 200–300%) for wider channels.
Fill Type: Gradient, solid, or no fill, allowing customization to user preferences.
Colors: Options to change the colors of bands, fill, and signals for better readability.
Signals: Options to enable/disable reversal signals from bands and SMA breakout signals.
█ HOW TO USE
Add the script to your chart in TradingView by clicking "Add to Chart" in the Pine Editor.
Adjust input parameters in the script settings:
SMA Length: Set to 10–30 for a wide channel containing price movement, suitable for scalping or short-term trading. Set above 30 (e.g., 50–100) for narrower support/resistance or trend-following bands.
Band Scaling: Adjust the channel width to market volatility. Smaller values (50–100%) for tighter support/resistance bands, larger values (200–300%) for wider channels containing price movement.
Fill Type and Colors: Choose a gradient for aesthetics or a solid fill for clarity.
Analyze signals:
Reversal Signals: Triangles above (bearish) or below (bullish) candles indicate potential reversal points.
SMA Breakout Signals: Circles above (bearish) or below (bullish) candles indicate trend changes.
Test the indicator on different instruments and timeframes to find optimal settings for your trading style.
█ LIMITATIONS
The indicator may generate false signals in highly volatile or consolidating markets.
On low-liquidity charts (e.g., exotic currency pairs), the bands may be less reliable.
Effectiveness depends on properly matching parameters to the market and timeframe.
Search in scripts for "scalping"
Advanced Forex Currency Strength Meter
# Advanced Forex Currency Strength Meter
🚀 The Ultimate Currency Strength Analysis Tool for Forex Traders
This sophisticated indicator measures and compares the relative strength of major currencies (EUR, GBP, USD, JPY, CHF, CAD, AUD, NZD) to help you identify the strongest and weakest currencies in real-time, providing clear trading signals based on currency strength differentials.
## 📊 What This Indicator Does
The Advanced Forex Currency Strength Meter analyzes currency relationships across 28+ major forex pairs and 8 currency indices to determine which currencies are gaining or losing strength. Instead of relying on individual pair analysis, this tool gives you a bird's-eye view of the entire forex market, helping you:
Identify the strongest and weakest currencies at any given time
Find high-probability trading opportunities by pairing strong vs weak currencies
Avoid ranging markets by detecting when currencies have similar strength
Get clear LONG/SHORT/NEUTRAL signals for your current trading pair
Optimize your trading strategy based on your preferred timeframe and holding period
## ⚙️ How The Indicator Works
### Dual Calculation Method
The indicator uses a sophisticated dual approach for maximum accuracy:
Pairs-Based Analysis: Calculates currency strength from 28+ major forex pairs (EURUSD, GBPUSD, USDJPY, etc.)
Index-Based Analysis: Incorporates official currency indices (DXY, EXY, BXY, JXY, CXY, AXY, SXY, ZXY)
Weighted Combination: Blends both methods using smart weighting for enhanced accuracy
### Smart Auto-Optimization System
The indicator automatically adjusts its parameters based on your chart timeframe and intended holding period:
The system recognizes that scalping requires different sensitivity than swing trading, automatically optimizing lookback periods, analysis timeframes, signal thresholds, and index weights.
### Strength Calculation Process
Fetches price data from multiple timeframes using optimized tuple requests
Calculates percentage change over the specified lookback period
Optionally normalizes by ATR (Average True Range) to account for volatility differences
Combines pair-based and index-based calculations using dynamic weighting
Generates relative strength by comparing base currency vs quote currency
Produces clear trading signals when strength differential exceeds threshold
## 🎯 How To Use The Indicator
### Quick Start
Add the indicator to any forex pair chart
Enable 🧠 Smart Auto-Optimization (recommended for beginners)
Watch for LONG 🚀 signals when the relative strength line is green and above threshold
Watch for SHORT 🐻 signals when the relative strength line is red and below threshold
Avoid trading during NEUTRAL ⚪ periods when currencies have similar strength
Note: This is highly recommended to couple this indicator with fundamental analysis and use it as an extra signal.
### 📋 Parameters Reference
#### 🤖 Smart Settings
🧠 Smart Auto-Optimization: (Default: Enabled) Automatically optimizes all parameters based on chart timeframe and trading style
#### ⚙️ Manual Override
These settings are only active when Smart Auto-Optimization is disabled:
Manual Lookback Period: (Default: 14) Number of periods to analyze for strength calculation
Manual ATR Period: (Default: 14) Period for ATR normalization calculation
Manual Analysis Timeframe: (Default: 240) Higher timeframe for strength analysis
Manual Index Weight: (Default: 0.5) Weight given to currency indices vs pairs (0.0 = pairs only, 1.0 = indices only)
Manual Signal Threshold: (Default: 0.5) Minimum strength differential required for trading signals
#### 📊 Display
Show Signal Markers: (Default: Enabled) Display triangle markers when signals change
Show Info Label: (Default: Enabled) Show comprehensive information label with current analysis
#### 🔍 Analysis
Use ATR Normalization: (Default: Enabled) Normalize strength calculations by volatility for fairer comparison
#### 💰 Currency Indices
💰 Use Currency Indices: (Default: Enabled) Include all 8 currency indices in strength calculation for enhanced accuracy
#### 🎨 Colors
Strong Currency Color: (Default: Green) Color for positive/strong signals
Weak Currency Color: (Default: Red) Color for negative/weak signals
Neutral Color: (Default: Gray) Color for neutral conditions
Strong/Weak Backgrounds: Background colors for clear signal visualization
### 🧠 Smart Optimization Profiles
The indicator automatically selects optimal parameters based on your chart timeframe:
#### ⚡ Scalping Profile (1M-5M Charts)
For positions held for a few minutes:
Lookback: 5 periods (fast/sensitive)
Analysis Timeframe: 15 minutes
Index Weight: 20% (favor pairs for speed)
Signal Threshold: 0.3% (sensitive triggers)
#### 📈 Intraday Profile (10M-1H Charts)
For positions held for a few hours:
Lookback: 12 periods (balanced sensitivity)
Analysis Timeframe: 4 hours
Index Weight: 40% (balanced approach)
Signal Threshold: 0.4% (moderate sensitivity)
#### 📊 Swing Profile (4H-Daily Charts)
For positions held for a few days:
Lookback: 21 periods (stable analysis)
Analysis Timeframe: Daily
Index Weight: 60% (favor indices for stability)
Signal Threshold: 0.5% (conservative triggers)
#### 📆 Position Profile (Weekly+ Charts)
For positions held for a few weeks:
Lookback: 30 periods (long-term view)
Analysis Timeframe: Weekly
Index Weight: 70% (heavily favor indices)
Signal Threshold: 0.6% (very conservative)
### Entry Timing
Wait for clear LONG 🚀 or SHORT 🐻 signals
Avoid trading during NEUTRAL ⚪ periods
Look for signal confirmations on multiple timeframes
### Risk Management
Stronger signals (higher relative strength values) suggest higher probability trades
Use appropriate position sizing based on signal strength
Consider the trading style profile when setting stop losses and take profits
💡 Pro Tip: The indicator works best when combined with your existing technical analysis. Use currency strength to identify which pairs to trade, then use your favorite technical indicators to determine when to enter and exit.
## 🔧 Key Features
28+ Forex Pairs Analysis: Comprehensive coverage of major currency relationships
8 Currency Indices Integration: DXY, EXY, BXY, JXY, CXY, AXY, SXY, ZXY for enhanced accuracy
Smart Auto-Optimization: Automatically adapts to your trading style and timeframe
ATR Normalization: Fair comparison across different currency pairs and volatility levels
Real-Time Signals: Clear LONG/SHORT/NEUTRAL signals with visual markers
Performance Optimized: Efficient tuple-based data requests minimize external calls
User-Friendly Interface: Simplified settings with comprehensive tooltips
Multi-Timeframe Support: Works on any timeframe from 1-minute to monthly charts
Transform your forex trading with the power of currency strength analysis! 🚀
Contrarian Investor📌 Indicator Overview
Name:Contrarian investor
Purpose: Identify oversold or overbought conditions for simple reversal trades.
Key Features:
Uses the 200-period moving average (200MA) to determine the market trend.
Uses RSI to detect oversold and overbought levels.
Includes a signal interval filter to prevent excessive signals.
📌 Signal Conditions
BUY (Reversal Buy)
Price is below the 200MA
RSI is below the oversold threshold (default: 30)
When both conditions are met, a "BUY" label is plotted below the bar.
SELL (Reversal Sell)
Price is above the 200MA
RSI is above the overbought threshold (default: 70)
When both conditions are met, a "SELL" label is plotted above the bar.
📌 Parameters
MA Length: Default 200 (used for trend detection)
RSI Length: Default 14
RSI Oversold: Default 30 (trigger for BUY signals)
RSI Overbought: Default 70 (trigger for SELL signals)
Signal Interval (bars): Default 10 (prevents duplicate signals)
📌 How to Use
Use the 200MA to confirm the trend direction.
Wait for RSI to reach extreme levels (oversold or overbought).
When a "BUY" or "SELL" label appears, consider a potential entry.
For better accuracy, combine with support/resistance or price action confirmation.
📌 Notes
This indicator is designed as a supplementary tool, not a standalone entry system.
Adjust the signal interval based on your trading style (e.g., shorter for scalping, longer for swing trading).
In strong trending markets, reversal signals may fail frequently, so additional confluence is recommended.
You need to adjust the settings depending on the market conditions.
This indicator is not intended for use during strong trending markets, such as after major economic news releases.
It is best suited for range-bound markets and scalping within a few-dollar price range.
📌 インジケーターの概要
名前：Contrarian investor
目的：過剰に売られた/買われたタイミングでの逆張りシグナルを簡単に確認
特徴：
200MAを基準にトレンド方向を判定
RSIで売られすぎ・買われすぎを検出
過剰なシグナルを防ぐための「シグナル間隔制限」付き
📌 シグナルの条件
BUY（逆張り買い）
現在の価格が 200MAより下
RSIが 設定値（初期値30）以下
この条件で「BUY」ラベルがチャート下に表示されます。
SELL（逆張り売り）
現在の価格が 200MAより上
RSIが 設定値（初期値70）以上
この条件で「SELL」ラベルがチャート上に表示されます。
📌 パラメータ設定
MA期間：デフォルト200（200MAで長期トレンドを判定）
RSI期間：デフォルト14
RSI売られすぎ：デフォルト30（BUYの発生条件）
RSI買われすぎ：デフォルト70（SELLの発生条件）
シグナル間隔（バー）：デフォルト10（重複シグナル防止）
📌 使い方
200MAでトレンド方向を確認
RSIが極端な水準に達したら逆張りシグナル発生
「BUY」または「SELL」のラベルが出たら検討
他のテクニカル（サポレジ・プライスアクション）と組み合わせると精度向上
📌 注意点
単独でのエントリー判断には使わず、補助的に活用するのが推奨
シグナル間隔は調整可能（例：スキャルピングなら短め、スイングなら長め）
トレンドが強い相場では逆張りシグナルが連続して外れる可能性あり
相場環境によって設定を変える必要がある
指標発表後など強いトレンドが出る時ではなくレンジ相場で数ドル幅のスキャルピングをするのに向いている。
AymaN Entry Signal – With HTF + Pin Bar + Multi TP + BE + V1Ayman Entry Signal – Indicator Description
Overview
Ayman Entry Signal – With HTF + Pin Bar + Multi TP + BE + Stats Panel (V1)
This is a professional-grade Pine Script indicator designed for scalping and intraday trading, with full trade management, multi-confirmation logic, and advanced visualization. The tool is ideal for traders focused on XAUUSD (Gold), Forex, and other volatile instruments who seek both precision entries and structured exits with dynamic risk control.
Main Features
Advanced Entry Logic:
- EMA fast/slow crossovers (configurable)
- Optional conditions: Break of Structure (BoS), Order Block (OB), Fair Value Gap (FVG), Liquidity sweeps, Pin Bars
- HTF confirmation using EMA or BoS
- Real-time entry condition display
Trade Management:
- Dynamic calculation of Entry, SL (with ATR buffer), TP1, TP2
- Supports Partial Close and Break Even logic after TP1
- Visual PnL label (dynamic and color-coded)
Statistics Panel:
- Shows total trades, win/loss/breakeven count, cumulative PnL
- Filter by custom date or session
- Fully customizable panel appearance
Trade Visualization:
- Trade box includes all trade levels (Entry, SL, TP1, TP2)
- Visual display of trade conditions and PnL result
- Option to keep previous trades on chart
Alert System:
- Alerts for Buy and Sell entries
- Compatible with webhook automation systems like MT5/MT4
Customization & Inputs
- Capital & risk per trade
- Value per pip/point
- SL buffer (ATR-based)
- Manual EMA override
- Enable/disable: EMA, BoS, OB, FVG, Liquidity, Pin Bars
- HTF: timeframe + confirmation logic
- Trade box/labels visibility
- Full color customization
- PnL label position: top, center, or bottom
Recommended Use
- Ideal for Gold scalping (XAUUSD), also effective for Forex
- Best on 1m–15m charts; use HTF confirmation from 15m–4H
- Pairs well with semi-automated systems using alerts and webhooks
Disclaimer
Note: This is a non-executing indicator. It does not place trades but provides visual and statistical guidance for professional manual or semi-automated trading.
TZtraderTZtrader
This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea.
Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status.
The script
First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup.
Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button.
One visual with three setups.
The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red).
Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals.
The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided
The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts.
The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short.
The table below gives a summary of scripted alerts:
Setup = Where = When = Purpose
Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts
Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes
Long = COG = First crossing = Uptrend might end warning
Long = Orange Zone = Bars come from higher zones = Uptrend ended take care
Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long
Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts
Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes
Short = COG = First crossing = Downtrend might end warning
Short = Green Zone = Bars come from lower zones = Downtrend ended take care
Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short
You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation.
When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones.
Suppressing false and annoying signals
The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts.
The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur.
Inputs
“Setup”, default is long, drop down menu provides long, short and bare.
“Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works.
“show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’.
Logical Stops
The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup.
COG versus other lines
Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel.
A multi timeframe application.
In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches.
The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits.
You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week).
Dear day-traders, may this tool be helpful and may your days be blessed.
Take care
Momentum DivergenceOverview
The Momentum Divergence Oscillator is a valuable tool designed for traders who are familiar with basic charting but want to deepen their market insights. This indicator combines a momentum calculation with divergence detection, presenting the data in an intuitive way with a blue momentum line and colored divergence signals ("Bull" and "Bear"). It’s perfect for refining entry and exit points across various timeframes, especially for scalping or swing trading strategies.
Understanding the Concepts
What is Momentum?
Momentum measures the speed and strength of a price movement by comparing the current closing price to a previous close over a set period. In this indicator, it’s calculated as the difference between the current close and the close from a user-defined number of bars ago (default: 10). A rising momentum line indicates accelerating upward momentum, while a falling line suggests slowing momentum or a potential reversal. This helps you gauge whether a trend is gaining power or losing steam, making it a key indicator for spotting overbought or oversold conditions.
What is a Divergence?
A divergence occurs when the price action and the momentum indicator move in opposite directions, often signaling a potential trend reversal. The Momentum Divergence Oscillator highlights two types:
Bullish Divergence: When the price forms a lower low (indicating weakness), but the momentum shows a higher low (suggesting underlying strength). This can foreshadow an upward reversal.
Bearish Divergence: When the price reaches a higher high (showing strength), but the momentum records a lower high (indicating fading momentum). This may hint at an impending downward turn.
How the Indicator Works
The indicator plots a momentum line in a separate pane below your chart, giving you a clear view of price momentum over time. It also scans for divergences using adjustable lookback periods (default: 5 bars left and right) and a range window (default: 5-60 bars) to ensure relevance. When a divergence is detected, it’s visually highlighted, and you can customize the sensitivity through input settings like the momentum length and pivot lookback. Alerts are included to notify you of new divergence signals in real-time, saving you from constant monitoring.
How to Apply It
Identifying Opportunities: Use bullish divergences ("Bull") as a cue to consider long positions, especially when confirmed by support levels or a moving average crossover. Bearish divergences ("Bear") can signal short opportunities, particularly near resistance zones.
Combining with Other Tools: Pair this oscillator with indicators like the Relative Strength Index (RSI) or volume analysis to filter out false signals and increase confidence in your trades. For example, a bullish divergence with rising volume can be a stronger buy signal.
Timeframe Flexibility: Test it on shorter timeframes (e.g., 5-minute charts) for quick scalping trades or longer ones (e.g., 1-hour or 4-hour charts) for swing trading, adjusting the momentum length to suit the market’s pace.
Alert Setup: Enable the built-in alerts to get notified when a divergence forms, allowing you to react promptly without staring at the screen all day.
Strategy Example
Spot a bullish divergence on a 15-minute chart where the price hits a lower low, but the momentum rises.
Confirm with a break above a 20-period EMA and increasing volume.
Enter a long position with a stop-loss below the recent low and a take-profit near the next resistance level.
Customization Tips
Adjust the "Momentum Length" (default: 10) to make the oscillator more or less sensitive—shorter lengths react faster, while longer ones smooth out noise.
Tweak the "Pivot Lookback" settings to widen or narrow the divergence detection range based on your trading style.
Use the "Range Upper/Lower" inputs to focus on divergences within a specific timeframe that matches your strategy.
Important Considerations
b]This indicator is a technical analysis tool, not a guaranteed trading system. Always pair it with a solid strategy and strict risk management, such as setting stop-losses.
In strong trending markets, divergences can sometimes produce false signals. Consider adding a trend filter (e.g., ADX below 25) to avoid whipsaws.
Experiment with the settings on a demo account or backtest to find what works best for your preferred markets and timeframes.
RSI Divergence(CompactFX)This is the standard "RSI" with "divergence" displayed. Additionally, it has the following features:
- The line color shifts above and below the RSI 50 threshold.
- The MA can be displayed on the RSI.
- Signs of an expected reversal are displayed.
**Examples of Use**
*For Swing Traders
In addition to using the standard RSI, the divergence display can serve as a trigger for further consideration.
*For Scalpers
For athletic traders who prefer intuition over logic and calculation, we recommend customizing the RSI color to your liking for bulls and bears. Consider extending the price until the RSI color changes. Below is my example.
-One-Minute Scalping
When prices are moving above the long-term and short-term MAs, you can hold a position as long as the RSI is above 55 (below 45 for bears). In this case, pivot signs can also be used as a guide for closing positions. Of course, this is best done during periods of high momentum. Five- and 15-minute scalping also works well. However, these only work if you adhere to my logic. Don't forget to adhere to your own logic and framework.
The above is just an example. Feel free to use it as you like.
Hurst Criticality EngineThe Hurst Criticality Engine (HCE) is an advanced trading indicator designed to detect potential breakout (BUY) and exhaustion (SELL) conditions by combining multi‑scale Hurst exponent analysis with tactical confirmations such as VWAP, RSI, volume spikes, Fibonacci log‑periodic patterns and price channels.
It is optimized for traders seeking structured confluence in volatile or trending markets, and can be applied across different timeframes, from intraday scalping (1m–15m) to swing trading (1h–4h).
What It Does
HCE identifies potential turning points and momentum shifts by evaluating market persistence and volatility across several dimensions. It generates three main types of labels:
CRITICAL Signals: Triggered when multiple Hurst scales align and tactical validations confirm the setup. These can indicate breakout (BUY) or exhaustion (SELL) conditions.
CPC (Critical Pivot Confirmation): Appears at structural highs or lows validated by Hurst exponent alignment and VWAP context.
PIVOT Labels: Marks confirmed structural highs (▼) and lows (▲) that can be used to anticipate reversals or continuation setups.
A dynamic Tactical Panel shows real‑time information on signal strength, VWAP zones, last confirmed signals and the current alignment of the Hurst scales.
How It Works
The indicator integrates several analytical components, each designed to filter noise and add context:
Hurst Exponent Analysis:
Evaluates price persistence across up to five customizable time scales (default: 10, 20, 40, 80, 160 bars).
A signal is considered when at least a minimum number of scales (default: 3) align as bullish (>0.6) or bearish (<0.4).
Rolling VWAP with Standard Deviation Bands:
Plots a rolling VWAP and three customizable bands (±1σ, ±2σ, ±3σ).
Signals are validated if price is correctly positioned relative to VWAP (above for BUY, below for SELL) or if it breaks the outermost band, suggesting volatility extremes.
RSI and Volume Confirmation:
Uses RSI (default: 14‑period) to confirm momentum alignment (e.g., oversold for BUY, overbought for SELL).
Incorporates volume spikes (default: 1.5× average) as an additional confirmation of institutional participation.
Fibonacci Log‑Periodic Patterns:
Validates critical signals by checking whether price oscillations align with harmonic Fibonacci ratios (default: 0.618).
Channel Detection:
Runs a 50‑bar regression channel to identify structural boundaries.
Signals are reinforced when price interacts significantly with channel extremes or breaks out from them.
Dynamic Scoring System:
Every signal receives a score from 0 to 8 based on the confluence of all the above factors.
Scores ≥6 indicate strong alignment, 4–5 medium, 2–3 weak and ≤1 neutral.
Why This Combination?
Each component provides different insights: the Hurst exponent captures market persistence, VWAP defines value areas, RSI and volume confirm momentum and participation, while Fibonacci and channels provide structural references. This synergy allows HCE to filter noise and focus on conditions where multiple factors align, increasing the reliability of the setups.
How to Use It
Add the Indicator to the Chart:
Works on any instrument and timeframe (e.g., 1m, 5m, 15m for scalping; 1h, 4h for swing trading).
Configure Settings:
General Parameters: Set the minimum number of Hurst scales, cooldown between signals and spacing mode (manual or adaptive).
Tactical Validations: Enable or disable RSI, volume, Fibonacci or channel filters.
VWAP Settings: Adjust length (default: 50 bars) and deviation bands.
Hurst Scales: Enable up to five scales and customize their lengths.
Tactical Panel and Labels: Choose compact or detailed view and toggle the display of CRITICAL, CPC, PIVOT or Observation labels.
Interpret Signals:
CRITICAL (B/S): Labels appear above/below price with tooltips showing the signal score, VWAP status and momentum context.
CPC (⚡CPC↑ / ⚡CPC↓): Indicates critical pivots confirmed at structural highs or lows.
PIVOT (▲ / ▼): Marks confirmed highs/lows for additional context.
Observation Labels (⚠️): Highlight potential setups not meeting full CRITICAL criteria.
Monitor the Tactical Panel:
Displays the VWAP zone, number of aligned Hurst scales, signal score and last confirmed signals.
Recommendations
Use HCE as a confluence filter, not as a standalone entry tool.
Focus on signals with Medium (4–5) or Strong (≥6) scores.
Combine CPC and PIVOT labels with broader context for swing or reversal trades.
Apply on clean charts (without overlapping indicators) for optimal visualization.
Always use proper risk management, as no indicator can predict outcomes with certainty.
Chart Setup and Alerts
The script includes customizable alerts for CRITICAL, CPC, PIVOT and VWAP breakouts.
For clear visualization, use it on charts without clutter.
Works best on liquid markets (e.g., forex, crypto, stocks) and in volatile or trending conditions
Anti Nyangkut – Indikator Karya Anak Bangsa Anti Nyangkut – Indikator Karya Anak Bangsa
Indikator ini khusus buat kamu yang sering beli di pucuk dan jual di support, lalu akhirnya jadi bahan backtest orang lain.
💡 Sinyal buy only - muncul kalau harga udah:
✅ Di atas MA5
✅ Di atas Bollinger Bands Upper
✅ Di atas VWAP (khusus 1H & 4H)
🟢 TP dan SL otomatis muncul — biar gak cuma "niat hold sampe hijau"
📊 Cocok buat scalping & swing di 1H / 4H / 1D
Gak ada sinyal jual. Exit di tangan masing-nasing, jangan lupa pasang SL.
—
100% gratis. Bayarnya pakai amal jariyah.
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Anti Nyangkut – An Indicator by the People, for the People
This one's for you if you always buy the top, sell the bottom, and end up becoming someone else's backtest data.
💡 Buy-Only Signals — triggered when price is:
✅ Above MA5
✅ Above Bollinger Bands Upper
✅ Above VWAP (on 1H & 4H only)
🟢 Auto TP & SL lines — so you stop saying "I'll hold until it turns green"
📊 Perfect for scalping & swing trades on 1H / 4H / 1D
There’s no sell signal. Exits are your responsibility — just don’t skip the stop loss.
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100% free. Just pay with good karma.
Kalman VWMA For LoopKalman VWMA For Loop Indicator
The Kalman VWMA For Loop indicator is a sophisticated tool designed to smooth price data using a Kalman filter applied to a Volume Weighted Moving Average (VWMA). By combining the VWMA’s volume-weighted price sensitivity with the adaptive noise reduction of a Kalman filter, this indicator provides traders with a robust momentum and trend-following signal. The indicator includes a customizable for-loop mechanism to potentially iterate over a range of calculations or parameters, enhancing flexibility for advanced trading strategies. Visual outputs are plotted to help traders identify trends and potential trading opportunities with reduced noise.
How It Works
VWMA Calculations
Volume Weighted Moving Average (VWMA): Computes a VWMA based on a user-selected price source (default: Close) over a configurable period (default: 14). The VWMA weights price data by trading volume, providing a more accurate representation of market activity compared to a simple moving average.
Kalman Filter Calculation
Kalman Filter: Applies a Kalman filter to the price source to smooth price movements and reduce noise.
The filter uses:
Process Noise: Controls the adaptability of the filter to price changes (default: 0.01).
Measurement Noise: Adjusts sensitivity to price fluctuations (default: 3).
Filter Order (N): Defines the number of states in the Kalman filter (default: 3), allowing for multi-state modeling of price dynamics.
The Kalman filter iteratively predicts and updates the price estimate using state estimates and error covariances stored in arrays. This process minimizes noise while preserving significant price trends.
For-Loop Mechanism
The script includes a for-loop structure with user-defined parameters (from and to_, defaulting to 1 and 25, respectively). While the provided code does not fully implement the for-loop’s functionality, it is intended to allow iterative calculations or parameter sweeps, such as testing multiple periods or thresholds within the specified range. This feature enhances the indicator’s flexibility for optimization or multi-scenario analysis.
Visual Representations
The indicator plots the VWMA as a red line on the chart, providing a clear visual reference for the volume-weighted trend.
The Kalman-filtered price is calculated but not plotted in the provided code. When plotted, it would appear as a smoothed price line, highlighting the underlying trend with reduced noise.
The for-loop parameters suggest potential for additional visual outputs (e.g., multiple VWMA lines or signals) if fully implemented, but the current script only plots the VWMA.
Customization & Parameters
The Kalman VWMA For Loop indicator offers flexible parameters to suit various trading styles:
Moving Average Parameters:
Price Source: Select the input price (default: Close; options: Close, High, Low, Open).
MA Period: Adjust the VWMA calculation period (default: 14).
Kalman Parameters:
Process Noise: Adjusts the filter’s adaptability to price changes (default: 0.01).
Measurement Noise: Controls sensitivity to price fluctuations (default: 3).
Filter Order (N): Sets the number of states for the Kalman filter (default: 3).
For-Loop Parameters:
From: Starting value for the for-loop (default: 1).
To: Ending value for the for-loop (default: 25).
Color Settings: The VWMA is plotted in red, with potential for additional customizable colors if the for-loop is expanded to plot multiple outputs.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Trend Following:
Use the Kalman-filtered price and VWMA to identify the direction and strength of trends, with the smoothed output reducing false signals in volatile markets.
Momentum Trading: The VWMA highlights volume-driven price movements, allowing traders to enter or exit based on momentum shifts.
Parameter Optimization: The for-loop structure (if fully implemented) enables testing multiple VWMA periods or Kalman parameters, aiding in strategy optimization.
Scalping and Swing Trading: Adjust the MA period and Kalman parameters to suit short-term (scalping) or longer-term (swing trading) strategies.
Final Note
The Kalman VWMA For Loop indicator is a powerful tool for traders seeking to combine volume-weighted price analysis with advanced noise reduction via a Kalman filter. Its customizable parameters and potential for iterative calculations through the for-loop make it adaptable to various trading styles. While the for-loop functionality is not fully implemented in the provided code, completing it could enable dynamic parameter testing or signal generation. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
BullTrading Easy Tops & BottomsTRADING TOOL OVERVIEW
The Easy Tops & Bottoms indicator identifies potential reversal points on intraday charts by analysing volatility patterns and momentum shifts during major trading sessions. It projects horizontal zones that may act as support or resistance, adapting dynamically to price behavior.
This indicator is designed for use on intraday timeframes from 1-minute to 15-minute charts only.
HOW THE INDICATOR WORKS
The indicator uses an adaptive algorithm to evaluate momentum exhaustion and volatility clusters within intraday sessions (aligned with New York local time). It generates time based zones when conditions indicate potential trend reversals, such as after volatility spikes followed by contraction. These zones extend horizontally until price breaks boundaries or a bar limit is reached.
- Support Zones : Formed during bullish sessions with tail volatility, suggesting potential bottoms.
- Resistance Zones : Formed during bearish sessions with wick volatility, suggesting potential tops.
Zones are filtered for significant sessions to focus on meaningful price action. Signals trigger based on price interaction with the zone, requiring a specific relationship between the candle's low, high, and close relative to the zone level—for example, engulfing the level but closing in the reversal direction.
Note that signals and zone behaviors will differ across timeframes (e.g., 1m, 5m, 15m) due to varying candle sizes affecting how closes relate to zone triggers. Shorter timeframes may show more frequent but noisier interactions, while longer ones capture broader momentum shifts.
USERS GUIDE
What the Indicator Does?
The indicator has two operating modes: Buy/Sell Signal Mode (suitable for beginners and trend-following traders—important note: trend-following traders must filter according to their own trend criteria) and Support/Resistance Mode, which is a full and complete trading system.
- Plots Dynamic Zones: Horizontal boxes appear at qualifying session ends, representing support (bottoms) or resistance (tops).
- Active zones use a semi-transparent colour (customisable) and extend rightward while valid.
- Expired zones (after break or timeout) shift to a historical colour for reference.
- Generates Signals (in Buy/Sell Signal Mode): Labels appear on zone interactions confirming reversal potential:
- "BUY" (green) for support zones.
- "SELL" (red) for resistance zones.
- Time Based Focus: Ties to intraday periods like Asian, London, and New York transitions. Use NY Local Time in your charts.
- Additional Elements: Includes a watermark with symbol, timeframe, and date; an optional NotePad table for notes.
How to Interpret Signals
- Zone Dynamics: Active zones indicate ongoing validity; expiration signals a potential shift (e.g., a support break may turn it into resistance).
- Signal Triggers: Require price to test the zone level with a closing bias toward reversal. These are suitable for beginners learning basic reversals or trend traders adding their own filters (e.g., moving averages for direction).
- Value for Users: Beginners can use zone height to set stop-loss (SL) below/above the box, enabling a 1:2 risk-reward ratio (RR) for take-profit (TP) at twice the zone distance.
- Timeframe Variations: Expect different signals on 1m vs. 15m, as smaller candles on lower frames may trigger more selectively based on close positions relative to zones.
- Note on Entries in Internal Range Zones: For all entries (the Internal Range inside range zones), when a big zone swallows smaller zones ahead, consider using the bigger zone or the SL price level as an entry level.
PRACTICAL TRADING SCENARIOS
Here, we expand on how to apply the indicator in real-world trading, with detailed examples for each mode. These scenarios assume a basic understanding of risk management, such as position sizing at 0.5-1.5% of account capital per trade. Always backtest these ideas on historical data for your specific instrument (e.g., forex pairs like EUR/USD or indices like US30).
Buy/Sell Signal Mode: Reversal and Trend-Following Applications
This mode is ideal for spotting reversal opportunities while allowing flexibility for trend filters. Signals appear as labels when price interacts with zones in a confirmatory way, making it beginner-friendly for learning entry points. Trend-following traders should overlay their preferred trend indicators (e.g., a 50-period EMA) to avoid counter-trend trades.
Important critical note: In this mode, the 1:2 RR is based and measured directly on the zone height (not on the actual distance from entry price to SL). The correct SL placement is at the far edge of the zone (e.g., zone bottom for buys, zone top for sells), and TP is set at twice the zone height from the signal level (the key trigger price where the label appears).
- Basic Reversal Scalping (Beginner-Friendly): On a 5-minute chart during the London session open, after a sharp down-move in EUR/USD, a support zone forms with signal level at 1.0850 (zone top) and height of 10 pips (zone bottom at 1.0840). Wait for a "BUY" signal when price dips to test the zone (low touches 1.0850) but closes above it. Enter long at the current price (e.g., 1.0855). Set SL at the zone bottom (1.0840), and TP at the signal level + 2x zone height (1.0850 + 20 pips = 1.0870). This ensures the 1:2 RR is measured purely on the zone (risk = 10 pips zone height, reward = 20 pips), regardless of exact entry. If volatility is high (filter enabled), this setup prioritizes stronger sessions for better win rates.
- Trend-Following with Filter: On a 15-minute chart of GBP/JPY during New York AM, the overall trend is upward (price above a 200-period SMA). A support zone appears with signal level at 185.20 (zone top) after a pullback, with a height of 20 pips (zone bottom at 185.00). Ignore any "SELL" signals as they counter the trend; instead, wait for a "BUY" when price tests the zone from above and closes bullishly. Enter long at the current price (e.g., 185.25). Set SL at the zone bottom (185.00), and TP at the signal level + 2x zone height (185.20 + 40 pips = 185.60). Add a trend filter like MACD histogram turning positive for confirmation, reducing whipsaws in ranging markets. The RR remains 1:2 based on the zone (risk = 20 pips height, reward = 40 pips).
- Range-Bound Day Trading: In a 1-minute chart of USD/JPY during Asian session consolidation, multiple zones form stacking as support/resistance. Monitor for "SELL" at a resistance zone with signal level at 147.80 (zone bottom) and height of 8 pips (zone top at 147.88) after an uptick. Enter short on the signal at the current price (e.g., 147.78). Set SL at the zone top (147.88), and TP at the signal level - 2x zone height (147.80 - 16 pips = 147.64). Shorter timeframes like 1m may produce more signals due to tighter candle closes, but use the volatility filter to avoid flat periods—test historically to see how 1m noise compares to 15m's smoother triggers. The RR is fixed at 1:2 on the zone (risk = 8 pips height, reward = 16 pips).
Support/Resistance Mode: Standalone Contrarian System for Fading Breaks
This mode hides signals and labels, turning the indicator into a complete contrarian trading system focused on fading zone breaks. It treats broken zones as "flips"—a broken support becomes potential resistance, and vice versa. Entries use limit orders at a distance equal to the zone height, with fixed 1:2 RR based on that height. No additional filters are required, but combining with session timing enhances edge. Alerts fire on new zone creation, allowing proactive setup.
When a setup results in a stop loss in Support/Resistance Mode, the original zone can be used for a "Stop & Reverse" trade with the same trading proportions. This means reversing the position direction upon hitting SL, using the original zone to set the new entry (at the box top/bottom trigger level), SL (at the opposite box edge), and TP (2x the height beyond entry)—effectively capturing momentum in the opposite direction while maintaining the 1:2 RR.
- Fading a Support Break (Short Setup): On a 5-minute chart of AUD/USD during NY PM, a support zone at 0.6650 (height 12 pips) breaks when low pierces below 0.6638. Consider the zone flipped to resistance. Place a sell limit order 12 pips above the broken zone (at 0.6662), SL 12 pips above entry (0.6674), and TP 24 pips below entry (0.6638, achieving 1:2 RR). This anticipates sellers re-entering on pullbacks to the former support. If the volatility filter is on, this only applies to significant breaks; historically, test on pairs with clear pip values to adjust for spreads.
Stop & Reverse Scenario: If the short position hits SL at 0.6674 (price rallies above), reverse to a long position. Use the original 12-pip zone: Place a buy limit order on the original broken support (now acting as flipped resistance, at 0.6650 box top), SL 12 pips below the new entry (0.6638 box bottom), and TP 24 pips above the new entry (0.6674, maintaining 1:2 RR). This captures potential upside momentum after the false break.
- Fading a Resistance Break (Long Setup): In a 15-minute chart of Nasdaq futures (NQ) during London close, a resistance zone at 18500 (height 50 points) breaks upward (high > 18550). Flip it to support. Place a buy limit order 50 points below the broken zone (at 18450), SL 50 points below entry (18400), TP 100 points above entry (18550). This catches pullbacks in uptrends. Longer timeframes like 15m may show fewer but more reliable breaks due to broader candle relationships—compare to 1m, where smaller candles might invalidate zones quicker.
Stop & Reverse Scenario: If the long position hits SL at 18400 (price drops below), reverse to a short position. Use the original 50-point zone: Place a sell limit order on the original broken resistance (now acting as flipped support, at 18500 box bottom), SL 50 points above the new entry (18550 box top), and TP 100 points below the new entry (18400, maintaining 1:2 RR). This captures potential downside momentum after the false break.
- Multi-Zone Contrarian Scalping in High-Volatility Sessions: On a 1-minute chart of Bitcoin (BTC/USD) during NY open, several zones form and break in quick succession. After a resistance at 65000 (height 200 USD) breaks, place buy limit 200 USD below (64800), SL at 64600, TP at 65200. Conversely, for a broken support at 64000 (height 150 USD), sell limit 150 USD above (64150), SL 64300, TP 63850. Use the max bars setting to limit zone lifespan in fast markets; enable volatility filter to focus on explosive sessions like news releases. This mode's standalone nature suits automated mindsets—backtest to quantify edge, noting 1m's frequent triggers vs. 15m's strategic ones.
Stop & Reverse Scenario: For the buy after resistance break, if it hits SL at 64600 (price falls below), reverse to short. Use the original 200 USD zone: Place a sell limit order on the original broken resistance (now acting as flipped support, at 65000 box bottom), SL 200 USD above the new entry (65200 box top), TP 400 USD below the new entry (64600, maintaining 1:2 RR). Similarly, for the sell after support break, if it hits SL at 64300 (price rallies above), reverse to buy: Use the original 150 USD zone: Place a buy limit order on the original broken support (now acting as flipped resistance, at 64000 box top), SL 150 USD below the new entry (63850 box bottom), TP 300 USD above the new entry (64300, maintaining 1:2 RR). This captures potential momentum after the false breaks.
- Risk Considerations for Both Modes: Always test scenarios historically and adjust for instrument specifics like pip/point values and spreads. For example, forex might use 1-2 pip buffers, while crypto needs larger due to volatility. This is not trading advice; users should evaluate independently and consult professionals.
KEY SETTINGS
- Indicator Mode: "Buy/Sell Signal Mode" for signals; "Support/Resistance Mode" for zones only.
- Show S/R Zones: Toggle box visibility.
- Colours: Customise active/historical zones, buy/sell labels.
- Max Bars for Signal: Zone extension limit (default: 288).
- Require Significant Volatility: Filter for notable sessions (default: true).
- Days to Keep Historical Zones: Retention period (default: 7).
- Show NotePad?: Toggle notes table.
ALERTS
- Signal Mode: On BUY/SELL triggers.
- S/R Mode: On new zone creation.
Backtest thoroughly before use.
Why Protected?
This script uses a proprietary zone detection method designed to highlight support/resistance zones in a clear, structured way. To maintain the integrity and unique utility of the algorithm, the code is closed-source.
Important Considerations
This tool does not guarantee profits and is not intended to replace sound trade management or risk discipline. It is designed to aid traders in visualiSing market structure. Use responsibly with appropriate risk measures.
Legal Disclaimer
This indicator is provided for educational and informational purposes only. It is not intended as financial, investment, or trading advice, and does not constitute a recommendation to buy, sell, or hold any financial instrument.
Trading financial markets involves substantial risk. Past performance of any trading strategy or indicator is not indicative of future results. Users of this indicator assume full responsibility for their trading decisions. No guarantees are made regarding the accuracy, reliability, or profitability of the signals generated by this tool.
This indicator is published as-is, without any express or implied warranties. The publishers shall not be held liable for any losses or damages, direct or indirect, arising from the use, misuse, or reliance on this tool.
All trading decisions should be made with consideration of your financial situation and risk tolerance. Consultation with a licensed financial advisor is strongly recommended before making any investment decisions.
By using this indicator, you acknowledge and agree to these terms. Your use constitutes acceptance of full responsibility and the understanding that trading is inherently risky and should be approached with caution and discipline.
PRO SMC DASHBOARDPRO SMC DASHBOARD - PRO LEVEL
Advanced Supply & Demand / SMC dashboard for scalping and intraday:
Multi-Timeframe Trend: Visualizes trend direction for M1, M5, M15, H1, H4.
HTF Supply/Demand: Shows closest high time frame (HTF) supply/demand zone and distance (in pips).
Smart “Flip” & Liquidity Signals: Flip and Liquidity Sweep arrows/signals are shown only when truly significant:
Near HTF Supply/Demand zone
And confirmed by volume spike or high confluence score
Momentum & Bias: Real-time momentum (RSI M1), H1 bias and fakeout detection.
Confluence Score: Objective score (out of 7) for trade confidence.
Volume Spike, Divergence, BOS: Includes volume spikes, RSI divergence (M1), and Break of Structure (BOS) for both M15 & H1.
Ultra-clean chart: Only valid signals/alerts shown; no spam or visual clutter.
Full dashboard with all signals and context, always visible bottom-right.
Best used for:
Forex, Gold/Silver, US indices, and crypto
Scalping/intraday with fast, clear decisions based on multi-factor SMC logic
Usage:
Add to your chart, monitor the dashboard for valid setups, and trade only when multiple factors align for high-probability entries.
How to Use the PRO SMC DASHBOARD
1. Add the Script to Your Chart:
Apply the indicator to your favorite Forex, Gold, crypto, or indices chart (best on M1, M5, or M15 for entries).
2. Read the Dashboard (Bottom Right):
The dashboard shows real-time information from multiple timeframes and key SMC filters, including:
Trend (M1, M5, M15, H1, H4):
Arrows show up (↑) or down (↓) trend for each timeframe, based on EMA.
Momentum (RSI M1):
Shows “Strong Up,” “Strong Down,” or “Neutral” plus the current RSI value.
RSI (H1):
Higher timeframe momentum confirmation.
ATR State:
Indicates current volatility (High, Normal, Low).
Session:
Detects if the market is in London, NY, or Asia session (based on UTC).
HTF S/D Zone:
Shows the nearest high timeframe Supply or Demand zone, its timeframe (M15, H1, H4), and exact pip distance.
Fakeout (last 3):
Detects recent false breakouts—if there are multiple fakeouts, potential for reversal is higher.
FVG (Fair Value Gap):
Indicates direction and distance to the nearest FVG (Above/Below).
Bias:
“Strong Buy,” “Strong Sell,” or “Neutral”—multi-timeframe, momentum, and volatility filtered.
Inducement:
Alerts for possible “stop hunt” or liquidity grab before reversal.
BOS (Break of Structure):
Recent or live breaks of market structure (for both M15 & H1).
Liquidity Sweep:
Shows if price just swept a key high/low and then reversed (often key reversal point).
Confluence Score (0-7):
Higher score means more factors align—look for 5+ for strong setups.
Volume Spike:
“YES” appears if the current volume is significantly above average—big players are active!
RSI Divergence:
Bullish or bearish divergence on M1—signals early reversal risk.
Momentum Flip:
“UP” or “DN” appears if RSI M1 crosses the 50 line, confirmed by location and other filters.
Chart Signals (Arrows & Markers):
Flip arrows (up/down) and Liquidity markers only appear when price is at/near a key Supply/Demand zone and confirmed by either a volume spike or strong confluence.
No signal spam:
If you see an arrow or LIQ tag, it’s a truly significant moment!
Suggested Trading Workflow:
Scan the Dashboard:
Is the multi-timeframe trend aligned?
Are you near a major Supply or Demand zone?
Is the Confluence Score high (5 or more)?
Check for Signals:
Is there a Flip or LIQ marker near a Supply/Demand zone?
Is volume spiking or a fakeout just occurred?
Look for Reversal or Continuation:
If there’s a Flip at Demand (with high confluence), consider a long setup.
If there’s a LIQ sweep + flip + volume at Supply, consider a short.
Manage Risk:
Don’t chase every signal.
Confirm with your entry criteria and preferred session timing.
Pro Tips:
Highest confidence trades:
When dashboard signals and chart arrows/markers agree, especially with high confluence and volume spike.
Adapt pip distance filter:
Dashboard is tuned for FX and gold; for other assets, adjust pip-size filter if needed.
Use alerts (if enabled):
Set up custom TradingView alerts for “Flip” or “Liquidity” signals for auto-notifications.
Designed to help you make professional, objective decisions—without chart clutter or second-guessing!
Z-Score Multi-Model ClusteringA price/volume clustering framework combining three market behavior models into a single indicator. Designed to help identify emerging trend strength, turning points, and volatility-driven entries or exits.
🔍 How It Works
This indicator classifies market states by comparing normalized price/volume behavior (via Z-Score) to different types of statistical or geometric "cluster centers." You can choose from three clustering approaches:
🧠 Clustering Models
1. Percentile (Z+CVD) – Trend Momentum Bias
Uses volume Z-Score + Cumulative Volume Delta (CVD).
Detects institutional pressure by clustering volume surges with directional delta.
Best for: Breakouts, momentum trades, volume-led reversals.
Cluster Colors:
🔹 Green triangle = Strong bullish confluence
🔻 Red triangle = Bearish divergence (bull trap risk)
⚪ Gray = Neutral/low conviction
2. Euclidean (Z+Slope) – Swing Mean-Reversion
Measures the angle of recent Z-score slope and compares it to directional cluster centers.
Helps detect early directional shifts or exhaustion.
Best for: Swing entries, pullback setups, exit timing
3. Hilbert Phase – Turn Detection via Signal Phase
Applies Hilbert Transform to the Z-Score, measuring the phase difference between trend and oscillator components.
Ideal for anticipating turns or detecting cyclical inflection points.
Useful for: Scalping, top/bottom spotting, volatility fades
✅ Features
Auto-updating cluster logic based on current data
Tooltips and clean user interface
Optional cluster bar coloring (can be toggled off)
Signal-only plotting keeps candlesticks readable
Clear entry/exit logic with triangle markers
Supports trend, swing, and oscillation-based systems
🛠️ Suggested Use Cases
Combine with VWAP, Session High/Low, or Liquidity Zones to confirm entry conditions.
Use Cluster 2 (strong bullish) on pullbacks to trend structure for add-on entries.
Use Cluster 1 in strong trends to watch for potential traps or exits.
Toggle models based on your strategy: e.g., Hilbert for scalping, Percentile for macro trend breaks.
🧪 Best Timeframes
Works across all markets and timeframes
For Percentile (Z+CVD), use intraday TF with 1m–5m CVD source
Hilbert and Euclidean preferred on 5m–1h for accurate slope/phase signals
⚠️ Notes
Clusters do not generate trade signals alone; use them in context with structure, VWAP, or trend filters.
Marker signals are filtered with a magnitude threshold to reduce noise.
SimpleBias ProSimpleBias PRO - Advanced Multi-Timeframe Bias Analysis System
SimpleBias PRO is an advanced multi-timeframe bias analysis system, specifically designed for professional traders who need in-depth analysis and integrated risk management. A major upgrade from the free version, it features 6 separate table systems and sophisticated trading logic.
Key Features
Multi-Table Analysis System
SimpleBias Table - Core bias analysis across 8 timeframes
Logic Table - Advanced trading logic with confluence requirements
EMA Table - Trend analysis with customizable EMA system
Time Table - Session-based timing optimization
Time & Price Table - Combined temporal and price analysis
Risk Management Table - Automated position sizing calculations
Advanced EMA Integration
Multiple source options: Open, Close, High, Low
Dynamic color modes with bullish/bearish visualization
EMA direction analysis (RISE/FALL/NEUTRAL)
Customizable periods (1-9999) with plot capability
Professional line width control (1-5 pixels)
Smart Time-Based Analysis
Optimized trading hours for different timeframes
New York timezone integration for global markets
Time status indicators with visual confirmation
Session-specific filtering for 15m, 5m, 1m strategies
Enhanced Trading Logic
Multi-timeframe confluence requirements
Mid-timeframe bias analysis
EMA direction confirmation system
Time-based entry filtering
Separate conditions for scalping (1m), day trading (5m), and swing (15m)
Professional Risk Management
Balance input with validation ($100 - $10,000,000)
Risk percentage control (0.1% - 10.0%)
Stop loss configuration in pips (5-5000)
Automatic position sizing calculations
Real-time risk assessment display
How It Works
Bias Calculation
The indicator determines market bias by comparing the current timeframe's open price with the previous period's open price:
BULLISH: Current open > Previous open
BEARISH: Current open < Previous open
NEUTRAL: Current open = Previous open
Multi-Timeframe Confluence The system requires alignment across multiple timeframes before generating signals:
15-Minute Strategy:
4h, 1h, 15m bias alignment
1H mid-timeframe confirmation
EMA direction confirmation
Optimal time session validation
5-Minute Strategy:
1h, 15m, 5m bias alignment
15M mid-timeframe confirmation
EMA trend validation
Session timing optimization
1-Minute Strategy:
15m, 5m, 1m bias alignment
5M mid-timeframe confirmation
EMA direction sync
Precise timing windows
Risk Management Integration Automatic position sizing based on:
Account balance
Risk percentage
Stop loss distance
Current market conditions
Advanced Customization
Theme & Display Options
Light/Dark mode with automatic color adaptation
Transparent background options
Individual table toggle controls
Position control (Top/Middle/Bottom Right)
Text size optimization (Tiny/Small/Normal)
Professional Color Schemes
Separate bias color customization
Dynamic EMA coloring
Signal color differentiation
Theme-adaptive interface elements
Best Practices
For Professional Day Trading
Use 15-minute charts with 15M strategy
Focus on 4H and 1H bias alignment
Enable EMA confirmation
Trade during optimal NY sessions
Apply 0.25-0.5% risk per trade
For Advanced Scalping
Use 5-minute charts with 5M strategy
Require 1H and 15M bias confluence
Monitor EMA direction changes
Focus on high-probability time windows
Use tight risk management (0.1-0.25%)
For Swing Trading
Use 15-minute+ charts
Focus on higher timeframe bias alignment
Allow wider stop losses
Use longer EMA periods
Apply conservative risk (0.5-1%)
Technical Specifications
Pine Script Version: v6
Performance: Multi-table system with efficient rendering
Compatibility: All TradingView timeframes and instruments
Updates: Real-time bias detection and signal generation
Important Disclaimers
This indicator is for educational and analysis purposes only. Not financial advice - always conduct your own research and risk assessment. Past performance does not guarantee future results. Proper risk management is essential for all trading activities.
F&O Time Zones – Final Fixed📌 This indicator highlights high-probability intraday time zones used in Indian F&O (Futures & Options) strategies. Ideal for scalping, breakout setups, and trap avoidance.
🕒 Covered Time Zones:
• 9:15 – 9:21 AM → Flash Trades (first 1-minute volatility)
• 9:21 – 9:30 AM → Smart Money Trap (VWAP fakeouts)
• 9:30 – 9:50 AM → Fake Breakout Zone
• 9:50 – 10:15 AM → Institutional Entry Timing
• 10:15 – 10:45 AM → VWAP Range Scalps
• 10:45 – 11:15 AM → Second Trap Zone
• 11:15 – 1:00 PM → Trend Continuation Window
• 1:00 – 1:45 PM → Volatility Compression
• 1:45 – 2:15 PM → Institutional Exit Phase 1
• 2:15 – 2:45 PM → Trend Acceleration / Reversals
• 2:45 – 3:15 PM → Expiry Scalping Zone
• 3:15 – 3:30 PM → Dead Zone (square-off time)
🔧 Features:
✓ Clean vertical lines per zone
✓ Optional label positions (top or bottom)
✓ Adjustable line style, width, and color
🧠 Best used on: NIFTY, BANKNIFTY, FINNIFTY (5-min or lower)
---
🔒 **Disclaimer**:
This script is for **educational purposes only**. It is not financial advice. Trading involves risk. Please consult a professional or do your own research before taking any positions.
—
👤 Script by: **JoanJagan**
🛠️ Built in Pine Script v5
Best ADX Pro🎯 Best ADX Pro: Advanced Multi-Smoothing Trend Analysis
📌 Overview
The Best ADX Pro is a sophisticated enhancement of the traditional ADX indicator, offering five smoothing methods for unparalleled adaptability across market conditions. Designed for traders who demand precision, it combines flexible trend detection with customizable sensitivity, making it ideal for all trading styles—from scalping to long-term investing.
✨ Key Upgrades from Standard ADX
5 Smoothing Methods – Choose between EMA, SMA, RMA, WMA, and SMMA to match your strategy’s responsiveness.
Smart Thresholds – Dual levels (default: 20 and 25) filter weak trends and confirm strong momentum.
Zero-Division Protection – Ensures stable calculations during low-volatility periods.
Alerts & Crosses – Built-in alerts for DI+/DI- crossovers and ADX threshold breaks.
⚙️ When to Use Each Smoothing Mode
🔴 EMA (Exponential Moving Average)
Best For: Scalping/Crypto
Timeframe: M1-M15
Risk: Higher false signals
🟠 WMA (Weighted Moving Average)
Best For: Swing Trading
Timeframe: H1-H4
Risk: Moderate
🟢 SMA (Simple Moving Average)
Best For: Position Trading
Timeframe: D1-W1
Risk: Lowest noise
🔵 RMA/SMMA (Wilder’s & Smoothed MA)
Best For: Classic ADX Strategy
Timeframe: Any
Risk: Balanced
📈 Pro Strategies
🔴 Trend Acceleration
Enter: When ADX > 20 (WMA/RMA) + DI+ > DI- (uptrend).
Exit: If ADX < 15 or DI- crosses DI+.
🟠 Reversal Trading
SMMA + Length 20: Wait for DI+/DI- crossover + ADX rising from below 25.
🟢 Low-Noise Filtering
SMA + Length 30: Ignore trades if ADX < 20 (avoids choppy markets).
⚠️ Limitations & Fixes
Whipsaws in Ranges → Combine with ATR to filter low-volatility phases.
Lag on SMA → Use WMA/EMA for faster entries on lower timeframes.
🎯 Who Should Use It?
🚀 Day Traders: EMA/WMA for quick signals.
⏳ Swing Traders: RMA/SMMA for reliability.
🤖 Algorithmic Trading: SMA for backtest stability.
🎨 Color Guide
🔴 EMA → Fastest signals (volatile markets).
🟠 WMA → Prioritizes recent data (aggressive trends).
🟢 SMA → Smoothest output (low noise).
🔵 RMA/SMMA → Classic ADX Wilder’s smoothing.
Tick Tack by TradeSeekers"Tick Tack" is a unique first of it's kind attempt at recreating market breadth index "TICK" for all sessions and all markets. Do not confuse this with tick charts.
Backstory
The fun aptly named "Tick Tack" has similar visuals to a market breadth indicator I created, MIT (Market Internal Trend) . For comparative demonstrations it has been included in the publication chart but is not required for Tick Tack usage.
MIT centers on the "TICK" index in a unique bias colored histogram display, where extreme high tick values indicate potential for buy side exhaustion, and inversely, extreme low tick values indicate potential for sell side exhaustion.
The issue with market breadth/internal data is the unavailability in non-RTH sessions, something this indicator resolves. Also TICK isn't available for crypto markets, non-US markets, etc. Tick Tack can be applied to virtually any market.
Neutral Range
Given that TICK index is a ratio and operates on a known range (~1000 +/-), many measures surrounding TICK are statically anchored.
When recreating the concept of TICK on an unbounded market, certain concessions had to be made, the first being the boundaries.
Tick Tack reads the market and creates a dynamic boundary for the "tick like" high and low extreme areas. That is the neutral range and is similarly colored to the MIT indicator.
Conventional trading wisdom indicates that TICK index values between 500 +/- are neutral/chop and have no edge.
Breaks
Any sufficiently high or low breaks beyond the neutral range are considered breaks and colored to indicate this event. Deviation calculations are used to indicate the strength level.
If a break of significant strength is detected, it'll be marked as "extreme" with color and a diamond plot, exactly like MIT.
"Tick" Trend
A simple SMA trend, like MIT, is made optionally available to show direction of the histogram measure.
"TRIN" Dots
TRIN, or "traders index", aims to present a numerical value indicating buy and sell sentiment. Intraday this index adjusts in realtime to market breadth price and volume advancement or decline with a publicly available formula for the entire market (NYSE typically).
Given that Tick Tack isn't making use of market breadth data, some creativity was employed here with a different take on the concept.
At times where measurement indicates directional movement, Tick Tack will display white dots at the histogram zero point, otherwise if balance is detected then the dots will be orange. If neither measure fires a detection, no dots will be displayed.
Usage
It's been primarily designed to emulate TICK index for intraday trading, scalping and similar.
Once sufficiently settled on directionality, range, etc. Utilize the histogram to find key break points to counter or join depending on market conditions.
Often times with TICK, the extreme breaks can be counter signals for quick mean reversion scalps.
Look for histogram and price action divergences for V signals near key pivots.
Tick Tack hasn't been tested nor designed for anything higher timeframe, but a benefit of this indicator vs TICK index is that it works on any timeframe with scaled resolution. It's entirely possible that this indicator has usefulness in higher timeframes.
Considerations
Tick Tack operates under the premise that mostly the market breadth will impact the market being charted and should provide a close approximation. If the charted market has low correlation to breadth then assume this TICK like display will have little to no similarity to the real TICK index (which may be acceptable).
Where Tick Tack and the TICK index will potentially see wide divergence will be near open of RTH. In many cases, with gaps in the NYSE or similar market breadth data, it will take some time for TICK index to catch up to current market conditions. Tick Tack will not suffer from this issue if utilizing extended session data and may provide a clearer picture.
Do note that Tick Tack is not claiming to present actual market breadth information and while it can be used for scalping, like TICK, I'm unsure it can be trusted for the same reasons as TICK.
Final Notes
I've received countless messages, questions and comments that my other market breadth tools be made available to extended sessions, non-US markets and crypto.
My thought process was that if I could create something that closely matched TICK index in regular trading hours, then perhaps it would provide similar indications and usefulness in extended session.
Paul_BDT Osc. MACD, ADX, CHOP, RSI & CVD🔧 Overview
Modular multi-oscillator engine designed for actionable and filtered trading signals. It combines the power of MACD, ADX, CHOP, RSI, and CVD, integrates advanced divergence detection, a multi-timeframe dashboard, and a built-in risk management system.
⸻
🚨 Alert System
Alerts are organized by signal type, oscillator used, and timeframe block, with precision controls for filtering and sensitivity.
1. Oscillator Alerts (Osc.)
Triggers ▲ / ▼ triangle markers based on trend momentum shifts detected on the selected oscillator:
• MACD: triggers when histogram crosses 0 with bullish or bearish slope
• ADX: triggers on directional breakout with increasing trend strength
• CHOP: signals trend resumption after choppy market phase
• RSI: breakout from dynamic support/resistance using pivot detection
• CVD: shift in buy/sell pressure based on aggregated volume delta
✅ All signals optionally trigger on bar close only (if enabled)
2. Divergence Alerts (Div.)
Automatic detection of:
• 🔼 Regular Divergences
• Bullish: Lower lows in price, higher lows in oscillator
• Bearish: Higher highs in price, lower highs in oscillator
• 🔁 Hidden Divergences
• Hidden Bullish: Higher lows in price, lower lows in oscillator
• Hidden Bearish: Lower highs in price, higher highs in oscillator
Alert trigger logic:
• Divergences only trigger if confirmed by price action:
→ breakout from wick or close beyond BB/RSI dynamic bands
• Alerts are non-repeating (fires only on signal change)
🔔 divergeUP and divergeDN are fired when divergence AND price condition are met.
3. Reversal Alerts (Rev.)
Strict combo alert:
• reverseUP = divergeUP AND bullish wick breakout
• reverseDN = divergeDN AND bearish wick breakout
🧠 These are high-conviction signals, ideal for swing entries or reversion trades.
📊 Multi-Timeframe Support (4 Blocks)
4 independent blocks:
• Scalp, Intra, Swing, Custom
• Each block accepts 3 sorted timeframes
• You can individually enable:
• Oscillator alerts
• Divergences
• Reversals
Example:
• Scalp: RSI only, no divergence
• Intra: CVD + reversal only
• Swing: MACD + divergence + reversal
Each timeframe is dynamically sorted and shown in a structured dashboard grid (TF01 to TF12), making the multi-timeframe readout seamless.
⸻
⚙️ Additional Features
• Full visual panel with color-coded trend indicators
• Take Profit/Exit Alerts available on a custom timeframe
• Built-in Money Management:
• % or USD risk
• Configurable R/R ratio
• Minimum PnL threshold (filter out low-return setups)
⸻
✅ Best Use Cases
• High-frequency scalping (1s–1min) with real-time oscillator breakouts
• Structured intraday/swing planning using divergence + reversal logic
• Manual backtesting and alert-based discretionary entries
⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻
🧠 Fonctionnalités
• Oscillateurs personnalisables : activez un indicateur à la fois (MACD, ADX, CHOP, RSI, ou CVD) pour une analyse ciblée et lisible.
• Détection des divergences :
• Divergences classiques (bullish/bearish),
• Divergences cachées (hidden bullish/bearish),
• Filtres avancés pour ne détecter que les signaux pertinents (crossover/crossunder + break de mèche).
• Multi-timeframes :
• Jusqu’à 4 blocs configurables (scalp, intra, swing, custom),
• Tri automatique des UT,
• Alertes différenciées par bloc et par type de signal.
• Visualisation modulaire :
• Tableau de synthèse personnalisable, affichant l’état de chaque indicateur par UT,
• Affichage hors graphique ou directement sur le chart,
• Couleurs dynamiques pour les signaux haussiers, baissiers ou neutres.
• Gestion du risque intégrée :
• Paramétrez le risque en % du capital ou en valeur absolue (USD),
• Ratio risk/reward configurable pour filtrer les signaux,
• Seuil de profit minimum (PnL) configurable pour filtrer les signaux.
• Support de volumes agrégés multi-exchange pour CVD : compatible avec les plateformes crypto (BITGET, BINANCE, etc).
⸻
⚙️ Personnalisation
• Choix du type de moyenne mobile (EMA, RMA, VWAP, etc.).
• Activation sélective des signaux (Oscillateur, Divergence, Renversement) pour chaque bloc de timeframes.
⸻
📈 Alertes intégrées
• Compatibles avec les alertes automatiques de TradingView,
• Détection de signaux d’entrée (achat/vente), divergences, renversements,
• Configuration des alertes par type de signal et par timeframe (scalp/intra/swing/custom).
⸻
🔍 Utilisations recommandées
• Scalping haute fréquence (1s à 1min),
• Intraday en multi-UT (5 à 30min),
• Swing trading (1H à 1D),
• Analyse technique avancée sur crypto, indices, forex ou actions.
⸻
📌 Conclusion
Ce script combine précision algorithmique et flexibilité de personnalisation.
Alex Scalper with Volatility CheckAlex Scalper with Volatility Check - Script Description
This Pine Script indicator is a comprehensive scalping strategy designed for short-term trading with built-in risk management and volatility filtering.
Key Features:
📊 Core Strategy:
Uses VWAP (Volume Weighted Average Price) as the primary trend filter
Employs Stochastic oscillator for entry timing (oversold/overbought conditions)
Generates buy signals when price is above VWAP with stochastic momentum
Generates sell signals when price is below VWAP with stochastic reversal
🛡️ Risk Management:
Volatility Protection: Automatically pauses trading during high volatility periods using ATR and Bollinger Band width analysis
Multi-Target System: Three take-profit levels (10, 15, 25 points) for progressive profit-taking
Fixed Stop Loss: 20-point stop loss protection
Position Sizing: Dynamic lot size adjustment based on win/loss performance
⏰ Trading Hours:
Restricted to US market hours (9:30-11:30 AM and 2:00-4:00 PM EST)
Prevents trading during low-liquidity periods
🔔 Alert System:
Real-time buy/sell alerts with complete trade information
Includes entry price, stop loss, take profit levels, and position size
Ready for automated trading integration
📈 Visual Elements:
Green triangles for buy signals below price bars
Red triangles for sell signals above price bars
Orange volatility warning labels during high-risk periods
This script is ideal for traders seeking a systematic approach to scalping with built-in protection against volatile market conditions.
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
EM Levels by FUTURECODEEM Levels by FUTURECODE
This indicator overlays key price levels on your chart to assist in identifying powerful zones where we will observe manipulations. It calculates Equilibrium (EQ) and Terminus levels using FUTURECODE’s proprietary mathematical formula, with add-ons such as customizable range size and shift factor. Ideal for day traders and scalpers, it provides visual cues for strategic trade entries and exits.
Features:
• Customizable Range Size: Choose between Points, Ticks, or Percent to define the scale of the levels. NQ Example: Use 20 points for day trading, 9 for scalping, or adjust for your strategy and ticker.
• EQ Levels: Displays 10 key levels (5 bullish, 5 bearish) with customizable color, width, and line style (Solid, Dashed, Dotted).
• Terminus Levels: Plots 22 additional levels with customizable styling and optional filled zones for enhanced visualization of key price bands.
• Range Shift Factor: Shift levels up or down, should price extend beyond the default range.
Usage Tips:
• Adjust the Range Size to match your trading style (larger for swing trading, smaller for scalping).
• EQ levels Terminus levels are to be treated exactly the same, to locate manipulation setups ahead of time
• Enable Terminus Zone Fills for a clearer view of price bands.
• Best used on intraday charts (1m to 1H) for stocks, forex, or futures.
ML: Lorentzian Classification Premium█ OVERVIEW
Lorentzian Classification Premium represents the culmination of two years of collaborative development with over 1,000 beta testers from the TradingView community. Building upon the foundation of the open-source version, this premium edition introduces powerful enhancements that transform how machine-learning classification can be applied to market analysis.
The premium version maintains the core Lorentzian distance-based classification algorithm while expanding its capabilities through triple the feature dimensionality (up to 15 features), sophisticated mean-reversion detection, first-pullback identification, and a comprehensive signal taxonomy that goes far beyond simple buy/sell signals. Whether you're building automated trading systems, conducting deep market research, or integrating proprietary indicators into ML workflows, this tool provides the advanced edge needed for professional-grade analysis.
█ BACKGROUND
Lorentzian Classification analyzes market structures, especially those exhibiting non-linear distortions under stress, by employing advanced distance metrics like the Lorentzian metric, prominent in fields such as relativity theory. Where traditional indicators assume flat space, we embrace the curve. The heart of this approach is the Lorentzian distance metric—a sophisticated mathematical tool. This framework adeptly navigates the complex curves and distortions of market space, aiming to provide insights that traditional analysis might miss, especially during moments of extreme volatility. It analyzes historical data from a multi-dimensional feature space consisting of various technical indicators of your choosing. Where traditional approaches fail, Lorentzian space reveals the true geometry of market dynamics.
Neighborhoods in Different Geometries: In the above figure, the Lorentzian metric creates distinctive cross-patterns aligned with feature axes (RSI, CCI, ADX), capturing both local similarity and dimensional extremes. This unique geometry allows the algorithm to recognize similar market conditions that Euclidean spheres and Manhattan diamonds would miss entirely. In LC Premium, users can have up to 15 features -- you are not limited to 3-dimensions.
Among the thousands of distance metrics discovered by mathematicians, each perceives data through its own geometric lens. The Lorentzian metric stands apart with its unique ability to capture market behavior during volatile events.
█ COMMUNITY-DRIVEN EVOLUTION
It has been profoundly humbling over the past 2 years to witness this indicator's evolution through the collaborative efforts of our incredible community. This journey has been shaped by thousands of user suggestions and validated through real-world application.
A particularly amazing milestone was the development of a complete community-driven Python port, which meticulously matched even the most minute PineScript quirks. Building on this solid foundation, a new command-line interface (CLI) has opened up exciting possibilities for chart-specific parameter optimization:
Early insights from parameter optimization research: Through grid-search testing across thousands of parameter combinations, the analysis identifies which parameters have the biggest effects on performance and maps regions of stability across different market regimes. This reveals that optimal neighbor counts vary significantly based on market conditions—opening up incredible potential for timeframe-specific optimization.
This is just one of the insights gleaned so far from this ongoing investigation. The potential for chart-specific optimization for any given timeframe could transform how traders approach parameter selection.
Demand from power users for extra capabilities—while keeping the open-source version simple—sparked this Premium release. The open-source branch remains maintained, but the premium tier adds unique features for those who need an analytical edge and to leverage their own custom indicators as feature series for the algorithm.
█ KEY PREMIUM FEATURES
📈 First Pullback Detection System
Automatically identifies high-probability trend-continuation entries after initial momentum moves.
Detects when price retraces to optimal entry zones following breakouts or trend initiations.
Green/red triangle signals often fire before main classification arrows.
Dedicated alerts for both bullish and bearish pullback opportunities.
Based on veryfid's extensive research into pullback mechanics and market structure.
🔄 Dynamic Kernel Regression Envelope
Powerful, zero-setup confluence layer that immediately communicates trend shifts.
Dual-kernel system creates a visual envelope between trend estimates.
Color gradient dynamically represents prediction strength and market conviction.
Crossovers provide additional confirmation without cluttering your chart.
Professional visualization that rivals institutional-grade analysis tools.
✨ Massively Expanded Dimensionality: 10 Custom Sources, 5 Built-In Sources
Transform the indicator from 5 built-in standard to 15 total total features—triple the analytical power.
Integrate ANY TradingView indicator as a machine learning feature.
Built-in normalization ensures all indicators contribute equally regardless of scale.
Create theme-based systems: pure volume analysis, multi-timeframe momentum, or hybrid approaches.
📊 Tiered Mean Reversion Signals with Scalping Alerts
Regular (🔄) and Strong (⬇️/⬆️) mean reversion signals based on statistical extremes.
Opportunities often arise before candle close—perfect for scalping entries.
Visual markers appear at high-probability reversal zones.
Four specialized alert types: upward/downward for both regular and strong reversals.
Pre-optimized probability thresholds, no fine-tuning required.
📅 Daily Kernel Trend Filter
Instantly cleans up noisy intraday charts by aligning with higher timeframe trends.
Swing traders report immediate signal quality improvement.
Automatically deactivates on daily+ timeframes (intelligent context awareness).
Reduces counter-trend signals by up to 60% on lower timeframes.
Simple toggle—no complex multi-timeframe setup required.
📋 Professional Backtesting Stream (-6 to +6)
Multiple distinct signal types (including pullbacks, mean reversions, and kernel deviations) vs. basic binary (buy/sell) output for nuanced analysis.
Enables detailed walk-forward analysis and ML model training.
Compatible with external backtesting frameworks via numeric stream.
Rare precision for TradingView indicators—usually only found in institutional tools.
Perfect for quants building sophisticated strategy layers.
⚡ Performance Optimizations
Faster distance calculations through algorithmic improvements.
Reduced indicator load time (measured via Pine Profiler).
Handles 15 active features without timeouts—critical for multi-chart setups.
Optimized for live auto-trading bots requiring minimal latency.
🎨 Full Visual Customization & Accessibility
Complete color control for all visual elements.
Colorblind-safe default palette with customization options.
Dark mode optimization for extended trading sessions.
Professional appearance matching your trading workspace.
Accessibility features meeting modern UI standards.
🛠️ Advanced Training Modes
Downsampling mode for training on diverse market conditions; Down-sampling and remote-fractals for exotic pattern discovery.
Remote fractals option extends analysis to deep historical patterns.
Reset factor control for fine-tuning neighbor diversity; Reset-factor tuning to control neighbor diversity.
Appeals to systematic traders exploring exotic data approaches.
Prevents temporal clustering bias in model training.
█ HOW TO USE
Understanding the Approach (Core Concept):
Lorentzian Classification uses a k-Nearest Neighbors (k-NN) algorithm. It searches for historical price action "neighborhoods" similar to the current market state. Instead of a simple straight-line (Euclidean) distance, it primarily uses a Lorentzian distance metric, which can account for market "warping" or distortions often seen during high volatility or significant events. Each historical neighbor "votes" on what happened next in its context, and these votes aggregate into a classification score for the current bar.
Interpreting Bar Scores & Signals (Interpreting the Chart):
Bar Prediction Values: Numbers over each candle (e.g., ranging from -8 to +8 if Neighbors Count is 8) represent the aggregated vote from the nearest neighbors. Strong positive scores (e.g., +7, +8) indicate a strong bullish consensus among historical analogs. Strong negative scores (e.g., -7, -8) indicate a strong bearish consensus. Scores near zero suggest neutrality or conflicting signals from neighbors. The intensity of bar colors (if Use Confidence Gradient is on) often reflects these scores.
Main Arrows (Main Buy/Sell Labels): Large ▲/▼ labels are the primary entry signals generated when the overall classification (after filters) is bullish or bearish.
Pullback Triangles: Small green/red ▲/▼ identify potential trend continuation entries. These signals often appear after an initial price move and a subsequent minor retracement, suggesting the trend might resume. This is based on recognizing patterns where a brief counter-movement is followed by a continued advance in the initial trend direction.
Mean-Reversion Symbols: 🔄 (Regular Reversion) appears when price has crossed the average band of the Dynamic Kernel Regression Envelope. ⬇️/⬆️ (Strong Reversion) means price has crossed the far band of the envelope, indicating a more extreme deviation and potentially a stronger reversion opportunity.
Custom Mean Reversion Deviation Markers (Deviation Dots): If Enable Custom Mean Reversion Alerts is on, these dots appear when price deviates from the main kernel regression line by a user-defined ATR multiple, signaling a custom-defined reversion opportunity.
Kernel Regression Lines & Envelope: The Main Kernel Estimate (thicker line) is an adaptive moving average that smooths price and helps identify trend direction. Its color indicates the current trend bias. The Envelope (outer bands and a midline) creates a channel around price, and its interaction with price generates mean reversion signals.
Key Input Groups & Their Purpose:
🔧 GENERAL SETTINGS:
Reduce Price-Time Warping : Toggles the distance metric. When enabled, it reduces the characteristic "warping" effect of the default Lorentzian metric, making the distance calculation more Euclidean in nature. This may be suited for periods exhibiting less pronounced price-time distortions.
Source : Price data for calculations (default: close ).
Neighbors Count : The 'k' in k-NN – number of historical analogs considered.
Max Bars Back : How far back the indicator looks for historical patterns.
Show Exits / Use Dynamic Exits : Controls visibility and logic for exit signals.
Include Full History (Use Remote Fractals) : Allows model to pick "exotic" fractals from deep chart history.
Use Downsampling / Reset Factor : Advanced training parameters affecting neighbor selection.
Show Trade Stats / Use Worst Case Estimates : Displays a real-time performance table (for calibration only).
🎛️ DEFINE CUSTOM SOURCES (OPTIONAL):
Integrate up to 10 external data series (e.g., from other indicators) as features. Each can be optionally normalized. Load the external indicator on your chart first for it to appear in the dropdown.
🧠 FEATURE ENGINEERING:
Configure up to 15 features for the k-NN algorithm. Select type (RSI, WT, CCI, ADX, Custom Sources), parameters, and enable/disable. Start simple (3-5 features) and add complexity gradually. Normalize features with vastly different scales.
🖥️ DISPLAY SETTINGS:
Controls visibility of chart elements: bar colors, prediction values/labels, envelope, etc.
Align Signal with Current Bar : If true, pullback signals appear on the current bar (calculated on closed data). If false (default), they appear on the next bar.
Use ATR Offset : Positions bar prediction values using ATR for visibility.
🧮 FILTERS SETTINGS:
Refine raw classification signals: Volatility, Regime, ADX, EMA/SMA, and Daily Kernel filters.
🌀 KERNEL SETTINGS (Main Kernel):
Adjust parameters for the primary Nadaraya-Watson Kernel Regression line. Lookback Window , Relative Weighting , Regression Level , Lag control sensitivity and smoothness.
✉️ ENVELOPE SETTINGS (for Mean Reversion):
Configure the dynamic Kernel Regression Envelope. ATR Length , Near/Far ATR Factor define band width.
🎨 COLOR SETTINGS (Colors):
Customize colors for all visual elements; override every palette element.
General Approach to Using the Indicator (Suggested Workflow):
Load defaults and observe behavior: Familiarize yourself with the indicator's behavior.
Feature Engineering: Experiment with features, considering momentum, trend, and volatility. Add/replace features gradually.
Apply Filters: Refine signals according to your trading style.
Contextualize: Use kernels and envelope to understand broader trend and potential overbought/oversold areas.
Observe Signals: Pay attention to the interplay of main signals, pullbacks, and mean reversions. Watch interplay of main, pullback & mean-reversion signals.
Calibrate (Not Backtest): Use the "Trade Stats" table for real-time feedback on current settings. This is for calibration, *not a substitute for rigorous backtesting.*
Iterate & refine: Adjust settings, observe outcomes, and refine your approach.
█ ACKNOWLEDGMENTS
This premium version wouldn't exist without the invaluable contributions of:
veryfid for his groundbreaking ideas on unifying pullback detection with Lorentzian Classification, but most of all for always believing in and encouraging me and so many others. For being a mentor and, most importantly, a friend. We all miss you.
RikkiTavi for his help in creating the settings optimization framework and for other invaluable theoretical discussions.
The 1,000+ beta testers worldwide who provided continuous feedback over two years.
The Python porting team who created the foundation for advanced optimization; for the cross-language clone.
The broader TradingView community for making this one of the platform's most popular indicators.
█ FUTURE DEVELOPMENT
The Premium version will continue to evolve based on community feedback. Planned enhancements include:
Specialized exit model trained independently from entry signals (ML-based exit model).
Feature hub with pre-normalized, commonly requested indicators (Pre-normalized feature hub).
Better risk-management options (Enhanced risk-management options).
Fully automated settings optimization (Auto-settings optimization tool).
Lorentzian Classification - Advanced Trading DashboardLorentzian Classification - Relativistic Market Analysis
A Journey from Theory to Trading Reality
What began as fascination with Einstein's relativity and Lorentzian geometry has evolved into a practical trading tool that bridges theoretical physics and market dynamics. This indicator represents months of wrestling with complex mathematical concepts, debugging intricate algorithms, and transforming abstract theory into actionable trading signals.
The Theoretical Foundation
Lorentzian Distance in Market Space
Traditional Euclidean distance treats all feature differences equally, but markets don't behave uniformly. Lorentzian distance, borrowed from spacetime geometry, provides a more nuanced similarity measure:
d(x,y) = Σ ln(1 + |xi - yi|)
This logarithmic formulation naturally handles:
Scale invariance: Large price moves don't overwhelm small but significant patterns
Outlier robustness: Extreme values are dampened rather than dominating
Non-linear relationships: Captures market behavior better than linear metrics
K-Nearest Neighbors with Relativistic Weighting
The algorithm searches historical market states for patterns similar to current conditions. Each neighbor receives weight inversely proportional to its Lorentzian distance:
w = 1 / (1 + distance)
This creates a "gravitational" effect where closer patterns have stronger influence on predictions.
The Implementation Challenge
Creating meaningful market features required extensive experimentation:
Price Features: Multi-timeframe momentum (1, 2, 3, 5, 8 bar lookbacks) Volume Features: Relative volume analysis against 20-period average
Volatility Features: ATR and Bollinger Band width normalization Momentum Features: RSI deviation from neutral and MACD/price ratio
Each feature undergoes min-max normalization to ensure equal weighting in distance calculations.
The Prediction Mechanism
For each current market state:
Feature Vector Construction: 12-dimensional representation of market conditions
Historical Search: Scan lookback period for similar patterns using Lorentzian distance
Neighbor Selection: Identify K nearest historical matches
Outcome Analysis: Examine what happened N bars after each match
Weighted Prediction: Combine outcomes using distance-based weights
Confidence Calculation: Measure agreement between neighbors
Technical Hurdles Overcome
Array Management: Complex indexing to prevent look-ahead bias
Distance Calculations: Optimizing nested loops for performance
Memory Constraints: Balancing lookback depth with computational limits
Signal Filtering: Preventing clustering of identical signals
Advanced Dashboard System
Main Control Panel
The primary dashboard provides real-time market intelligence:
Signal Status: Current prediction with confidence percentage
Neighbor Analysis: How many historical patterns match current conditions
Market Regime: Trend strength, volatility, and volume analysis
Temporal Context: Real-time updates with timestamp
Performance Analytics
Comprehensive tracking system monitors:
Win Rate: Percentage of successful predictions
Signal Count: Total predictions generated
Streak Analysis: Current winning/losing sequence
Drawdown Monitoring: Maximum equity decline
Sharpe Approximation: Risk-adjusted performance estimate
Risk Assessment Panel
Multi-dimensional risk analysis:
RSI Positioning: Overbought/oversold conditions
ATR Percentage: Current volatility relative to price
Bollinger Position: Price location within volatility bands
MACD Alignment: Momentum confirmation
Confidence Heatmap
Visual representation of prediction reliability:
Historical Confidence: Last 10 periods of prediction certainty
Strength Analysis: Magnitude of prediction values over time
Pattern Recognition: Color-coded confidence levels for quick assessment
Input Parameters Deep Dive
Core Algorithm Settings
K Nearest Neighbors (1-20): More neighbors create smoother but less responsive signals. Optimal range 5-8 for most markets.
Historical Lookback (50-500): Deeper history improves pattern recognition but reduces adaptability. 100-200 bars optimal for most timeframes.
Feature Window (5-30): Longer windows capture more context but reduce sensitivity. Match to your trading timeframe.
Feature Selection
Price Changes: Essential for momentum and reversal detection Volume Profile: Critical for institutional activity recognition Volatility Measures: Key for regime change detection Momentum Indicators: Vital for trend confirmation
Signal Generation
Prediction Horizon (1-20): How far ahead to predict. Shorter horizons for scalping, longer for swing trading.
Signal Threshold (0.5-0.9): Confidence required for signal generation. Higher values reduce false signals but may miss opportunities.
Smoothing (1-10): EMA applied to raw predictions. More smoothing reduces noise but increases lag.
Visual Design Philosophy
Color Themes
Professional: Corporate blue/red for institutional environments Neon: Cyberpunk cyan/magenta for modern aesthetics
Matrix: Green/red hacker-inspired palette Classic: Traditional trading colors
Information Hierarchy
The dashboard system prioritizes information by importance:
Primary Signals: Largest, most prominent display
Confidence Metrics: Secondary but clearly visible
Supporting Data: Detailed but unobtrusive
Historical Context: Available but not distracting
Trading Applications
Signal Interpretation
Long Signals: Prediction > threshold with high confidence
Look for volume confirmation
- Check trend alignment
- Verify support levels
Short Signals: Prediction < -threshold with high confidence
Confirm with resistance levels
- Check for distribution patterns
- Verify momentum divergence
- Market Regime Adaptation
Trending Markets: Higher confidence in directional signals
Ranging Markets: Focus on reversal signals at extremes
Volatile Markets: Require higher confidence thresholds
Low Volume: Reduce position sizes, increase caution
Risk Management Integration
Confidence-Based Sizing: Larger positions for higher confidence signals
Regime-Aware Stops: Wider stops in volatile regimes
Multi-Timeframe Confirmation: Align signals across timeframes
Volume Confirmation: Require volume support for major signals
Originality and Innovation
This indicator represents genuine innovation in several areas:
Mathematical Approach
First application of Lorentzian geometry to market pattern recognition. Unlike Euclidean-based systems, this naturally handles market non-linearities.
Feature Engineering
Sophisticated multi-dimensional feature space combining price, volume, volatility, and momentum in normalized form.
Visualization System
Professional-grade dashboard system providing comprehensive market intelligence in intuitive format.
Performance Tracking
Real-time performance analytics typically found only in institutional trading systems.
Development Journey
Creating this indicator involved overcoming numerous technical challenges:
Mathematical Complexity: Translating theoretical concepts into practical code
Performance Optimization: Balancing accuracy with computational efficiency
User Interface Design: Making complex data accessible and actionable
Signal Quality: Filtering noise while maintaining responsiveness
The result is a tool that brings institutional-grade analytics to individual traders while maintaining the theoretical rigor of its mathematical foundation.
Best Practices
- Parameter Optimization
- Start with default settings and adjust based on:
Market Characteristics: Volatile vs. stable
Trading Timeframe: Scalping vs. swing trading
Risk Tolerance: Conservative vs. aggressive
Signal Confirmation
Never trade on Lorentzian signals alone:
Price Action: Confirm with support/resistance
Volume: Verify with volume analysis
Multiple Timeframes: Check higher timeframe alignment
Market Context: Consider overall market conditions
Risk Management
Position Sizing: Scale with confidence levels
Stop Losses: Adapt to market volatility
Profit Targets: Based on historical performance
Maximum Risk: Never exceed 2-3% per trade
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice or guarantee profitable trading results. The Lorentzian classification system reveals market patterns but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
Market dynamics are inherently uncertain, and past performance does not guarantee future results. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
Bringing the elegance of relativistic geometry to market analysis through sophisticated pattern recognition and intuitive visualization.
Thank you for sharing the idea. You're more than a follower, you're a leader!
@vasanthgautham1221
Trade with precision. Trade with insight.
— Dskyz , for DAFE Trading Systems
