Cumulative Weighted Change (Session) with 14 MAThis indicator provides the session weighted cumulative change of the Magnificent 7(AAPL META GOOG AMZN MSFT NVDA TSLA), it is weighted according to their market capitalization and size in relation to size of the market. The bar to bar current change is plotted by the fast line that begins its calculations at the start of each daily session, the smoother(slower) line is the 14 period Volume Weighted Moving Average of the cumulative change.
I use this in conjunction with a timeframe continuity indicator in order to weed out invalid signals, I have one that I have recently published. I use this to trade futures and index stock options, since the 7 tickers that this indicator is built off of are the biggest force that moves markets this ends up acting as an alpha indicator if you can find a consistent and reliable way to weed out false signals.
Happy Trading!
-Drgzzz
M-oscillator
Vortex OscillatorVortex Oscillator (VO)
The Vortex Oscillator is a normalized adaptation of the classic Vortex Indicator, designed to simplify trend identification and provide clearer trading signals. This enhanced version transforms the traditional dual-line Vortex Indicator into a single oscillator that ranges from 0-100, with 50 as the center line.
How It Works
The indicator measures the directional movement of price through two core components:
- Positive movement (VM+): Measures upward price movement
- Negative movement (VM-): Measures downward price movement
These components are normalized relative to the Average True Range (ATR) to create a single oscillator that fluctuates between 0 and 100:
- Values above 50 indicate bullish momentum (VM+ dominates)
- Values below 50 indicate bearish momentum (VM- dominates)
- Crossovers between the oscillator and its signal line identify potential entry and exit points
Key Features
- Normalized Scale: Easy-to-read 0-100 scale instead of the traditional dual-line format
- Adjustable Sensitivity: Choose between Low, Medium, and High sensitivity to match your trading style
- Signal Line: Uses a weighted moving average for signal generation
- Optional Trade Labels: Visual buy/sell signals directly on the chart
How to Use This Indicator
- Trend Direction: Values above 50 suggest bullish conditions, below 50 suggest bearish conditions
- Signal Line Crossovers: When the oscillator crosses above the signal line, consider long positions; when it crosses below, consider short positions
- Divergence: Look for divergence between price and the oscillator for potential trend reversals
- Sensitivity Adjustment: Use higher sensitivity for shorter timeframes or more active trading; lower sensitivity for longer-term positions
Limitations
- Like all momentum oscillators, this indicator may generate false signals during ranging markets
- Performance is best when used in conjunction with other technical analysis tools
- The indicator has slight lag due to its smoothing components
Settings Explanation
- Length: The period used for calculating the Vortex components (default: 9)
- Sensitivity: Adjusts how quickly the oscillator responds to price changes (default: Medium)
- Signal Line Length: The period for the signal line (default: 6)
- Signal Line MA Type: The moving average type for the signal line (default: WMA)
- Show Trading Labels: Option to display buy/sell labels directly on the chart
For optimal results, consider using this oscillator alongside trend identification tools and support/resistance levels.
Volume-Price Divergence RSIUnderstanding the Display
Once added, you'll see a new panel below your price chart with:
Purple Line: This is the RSI (Relative Strength Index)
Red Dashed Line: The overbought threshold (default: 70)
Green Dashed Line: The oversold threshold (default: 30)
Blue Columns: Volume histogram
Dark Blue Line: Volume moving average
Trading Signals
Look for these markers on the indicator panel:
Green Triangle (↑): Buy signal - appears when there's a bullish divergence AND RSI conditions are met (oversold and rising)
Red Triangle (↓): Sell signal - appears when there's a bearish divergence AND RSI conditions are met (overbought and falling)
Lime Diamond (◆): Bullish divergence without RSI confirmation
Orange Diamond (◆): Bearish divergence without RSI confirmation
What These Signals Mean
Buy Signal (Green Triangle):
Price is making lower lows BUT volume is making higher lows
RSI is in oversold territory (below 30) and starting to rise
This suggests potential upward reversal
Sell Signal (Red Triangle):
Price is making higher highs BUT volume is making lower highs
RSI is in overbought territory (above 70) and starting to fall
This suggests potential downward reversal
Customizing the Indicator
To adjust settings:
Right-click on the indicator
Select "Settings"
In the "Inputs" tab, you can modify:
RSI Period (default: 14)
Volume MA Period (default: 20)
Lookback Period for finding pivot points (default: 10)
RSI Overbought level (default: 70)
RSI Oversold level (default: 30)
Setting Alerts
To get notified when a signal appears:
Right-click on the indicator
Select "Add Alert"
Choose the condition you want to be alerted for:
Buy Signal
Sell Signal
Bullish Divergence
Bearish Divergence
Configure notification preferences and save
Trading Strategy
This indicator is best used:
On higher timeframes (4H, Daily) for more reliable signals
As confirmation with other indicators or price action
At market extremes where divergences are more meaningful
With proper risk management (stop losses below recent swing lows for buys, above recent swing highs for sells)
Remember that no indicator is 100% accurate. This tool works by identifying situations where price movement isn't confirmed by volume, suggesting a potential reversal, especially when RSI conditions align.
Valerio Diotallevi
Zippo Traffic v2Zippo Traffic v2
Fiyat hareketlerini analiz ederek trend yönünü belirleyen gelişmiş bir trend takip sistemidir. Alış ve satış sinyalleri üretmekle kalmaz, aynı zamanda belirsiz dönemleri sarı barlarla göstererek, işlem yapılmaması gereken durumları da işaret eder.
Nasıl Çalışır?
Bu sistem bir trafik ışığı mantığıyla çalışır:
🟡 Sarı barlar: Piyasada belirsizlik – yeni pozisyon açmayın, mevcut pozisyonu koruyorsanız dikkatli olun.
🟢 Yeşil barlar: Long / Al sinyali – yükseliş trendi.
🔴 Kırmızı barlar: Short / Sat sinyali – düşüş trendi.
Alligator (3 EMA) parametreleri (JawLen, TeethLen, LipsLen) kullanıcı tarafından değiştirilebilir; diğer teknik göstergeler ve hesaplamalar sabittir.
Bu sayede aşırı optimizasyon ve yanlış sinyal alma riski azalır; sistemin temel mantığı korunur.
Öne Çıkan Özellikler:
Nötr Bölgeler: Klasik trend takip indikatörlerinden farklı olarak, sadece “Al” ve “Sat” sinyalleri değil, aynı zamanda piyasada nötr bölgeleri (sarı barlar) belirler.
Momentum + Trend Analizi: Piyasanın yönünü daha doğru analiz etmek için birden fazla kriteri bir arada kullanır.
Standart Fiyat Verisi: Hesaplamalar, standart OHLC değerlerine dayanır. Heikin Ashi veya diğer mum çeşitleri, sadece daha net görsellik amacıyla tercih edilebilir; sinyal üretiminde etkisi yoktur.
Nasıl Kullanılır?
🟢 Yeşil barlar: Güçlü yükseliş trendi (Long).
🔴 Kırmızı barlar: Düşüş trendi (Short).
🟡 Sarı barlar: Trendin belirsiz olduğu alanlardır; bu dönemlerde yeni pozisyon açmaktan kaçının.
Zaman Dilimi ve Kullanım Önerileri
Hacimsiz hisselerde veya düşük likiditeli varlıklarda sinyal kalitesi düşük olabilir.
En iyi sonuçlar için 30 dakika ve üzeri zaman dilimleri önerilir.
Özellikle 4 saatlik, 8 saatlik ve günlük grafiklerde başarılı sonuçlar alınmıştır.
Daha kısa zaman dilimlerinde de kullanılabilir, ancak fiyat oynaklığı yüksek olduğundan sinyallerin doğruluğu düşebilir.
Önemli Uyarı..
Bu indikatör, teknik analiz amaçlı geliştirilmiştir ve yatırım tavsiyesi içermez. Piyasa koşulları hızla değişebilir; tek bir mum bile destek veya direnci kırabilir. Sarı barlar, mevcut pozisyonu kapatıp beklemenizi veya trendin netleşmesini takip etmenizi sağlar. Tüm yatırım kararlarınızı kendi araştırmalarınız ve risk yönetimi stratejileriniz doğrultusunda vermelisiniz.
______________________________________
Zippo Traffic v2
Zippo Traffic v2 is an advanced trend-following system that analyzes price movements to determine market direction. Not only does it generate buy and sell signals, but it also highlights uncertain market periods with yellow bars, signaling when new positions should not be opened.
How It Works
This system operates on a traffic light principle:
🟡 Yellow Bars: Indicate market uncertainty – refrain from opening new positions and exercise caution if you are already in a trade.
🟢 Green Bars: Signal a Long/Buy – indicating an uptrend.
🔴 Red Bars: Signal a Short/Sell – indicating a downtrend.
The Alligator (3 EMA) parameters (JawLen, TeethLen, LipsLen) are the only inputs that users can modify; all other technical indicators and calculations are fixed. This minimizes the risk of over-optimization and false signals, preserving the system’s core methodology.
Key Features
Neutral Zones: Unlike conventional trend-following indicators that only provide buy and sell signals, this indicator also identifies neutral areas (yellow bars) in the market.
Momentum + Trend Analysis: It combines multiple criteria to more accurately analyze the market direction.
Standard Price Data: All calculations are based on standard OHLC values. While Heikin Ashi or other candlestick styles may be used solely for enhanced visual clarity, they do not affect signal generation.
How to Use
🟢 Green Bars: Indicate a strong uptrend (Long).
🔴 Red Bars: Indicate a downtrend (Short).
🟡 Yellow Bars: Represent uncertain market conditions; avoid opening new positions during these periods.
Timeframe and Usage Recommendations
Signal quality may be poor in low-volume or illiquid securities.
For optimal results, it is recommended to use timeframes of 30 minutes or higher.
It has proven particularly effective on 4-hour, 8-hour, and daily charts.
Although it can be applied to shorter timeframes, increased price volatility may reduce signal accuracy.
Important Notice
This indicator is developed solely for technical analysis purposes and does not constitute investment advice. Market conditions can change rapidly— even a single candle can break through support or resistance levels. Yellow bars indicate that you should close your existing position and wait, or monitor for trend clarification, but do not necessarily signal an imminent trend reversal. All investment decisions should be made based on your own research and risk management strategies.
BTC Momentum Detector 1h# BTC Momentum Detector 1h
This indicator is designed to detect significant momentum movements in Bitcoin price on the 1-hour timeframe. It identifies candles with percentage changes within a specific range, which often precede larger price movements.
## How It Works
The indicator analyzes price movements to detect potential momentum shifts:
- Identifies candles with percentage changes between configurable thresholds (default: 1.7% - 2.8%)
- Requires neutral or inverse movement in the prior candle to avoid false signals
- Optional volume filter ensures signals are confirmed by above-average trading activity
- Tracks price continuation to calculate success rates and average returns
## Key Features
- **Signal Detection**: Green triangles below price bars indicate upward momentum signals; red triangles above price bars indicate downward momentum signals
- **Continuation Tracking**: Dashed horizontal lines show the entry price levels of active signals being tracked
- **Statistics Panel**: Displays real-time metrics including signal counts, success rates, and average returns
- **Current Status**: Shows the current price change percentage and active signals being monitored
## Parameters
- **Minimum Percentage Threshold**: Minimum price change to trigger a signal (default: 1.7%)
- **Maximum Percentage Threshold**: Maximum price change to filter out extreme moves (default: 2.8%)
- **Continuation Periods**: Number of periods to track after signal (default: 2)
- **Require Prior Neutral/Inverse**: Filters signals by requiring neutral or opposite prior movement
- **Neutral Threshold**: Defines what's considered a neutral movement (default: 0.1%)
- **Volume Filter**: Option to require above-average volume for confirmation
- **Volume Multiplier**: Volume must exceed average by this factor (default: 2x)
## Strategy Concept
The underlying strategy is based on the concept that when Bitcoin makes a controlled, significant move (not too small, not too large) after a period of neutral or opposite movement, it often continues in that direction for the next few periods. This pattern reflects the early stages of momentum development in the market.
Modified RSIModified RSI (Round Number RSI)
Category: Oscillator / Momentum
Description
The Modified RSI (Round Number RSI) is an enhanced version of the classic Relative Strength Index (RSI), designed to provide clearer and more structured signals by rounding its values to whole numbers. This modification helps traders filter out noise, making trend analysis and overbought/oversold conditions easier to interpret.
Key Features:
✔ Rounded RSI Values – Instead of fluctuating with decimals, this RSI rounds values to whole numbers (e.g., 30, 50, 70) for clearer decision-making.
✔ Easier Signal Interpretation – Helps traders identify key RSI levels without distractions from small fluctuations.
✔ Customizable Lookback Period – Allows adjustment of RSI sensitivity to fit different trading strategies.
✔ Works on All Timeframes & Assets – Can be applied to stocks, forex, crypto, and futures.
How to Use It:
📌 Overbought & Oversold Levels:
RSI ≥ 70 → Market may be overbought (potential reversal or correction).
RSI ≤ 30 → Market may be oversold (potential buying opportunity).
📌 Trend Confirmation:
RSI staying above 50 signals bullish momentum.
RSI staying below 50 signals bearish momentum.
📌 Divergence Trading:
Price makes a new high, but RSI does not → Bearish Divergence (Possible Downtrend).
Price makes a new low, but RSI does not → Bullish Divergence (Possible Uptrend).
Best Used For:
📈 Day Traders & Swing Traders looking for simplified RSI signals.
📉 Trend Confirmation with moving averages or volume analysis.
⚡ Confluence Trading with support/resistance zones.
Why Use This Over Traditional RSI?
🔹 Removes unnecessary noise by rounding RSI values.
🔹 Helps traders focus on key levels (30, 50, 70).
🔹 Reduces decision fatigue for fast-paced trading.
Psychological LineThe Psychological Line (PL) Indicator is a sentiment-based oscillator that measures the market's psychological strength by comparing the number of up-closing bars to the total number of bars over a specified period. It provides insight into market sentiment, helping traders identify overbought or oversold conditions, trend strength, and potential reversals.
Description for Your Public Release (TradingView/NinjaTrader)
Indicator Name: Psychological Line (PL)
Category: Oscillator / Market Sentiment
What It Does:
The Psychological Line calculates the percentage of bars closing higher than the previous bar over a defined period.
It ranges between 0% and 100%, where values above 70% suggest overbought conditions, and values below 30% indicate oversold conditions.
It helps traders identify trend strength and possible reversal points when combined with other indicators like moving averages or volume analysis.
How to Use It:
Overbought & Oversold Levels: A high PL value (e.g., above 70) suggests bullish exhaustion, while a low value (below 30) signals bearish exhaustion.
Trend Confirmation: When PL moves in the direction of price trends, it confirms market momentum.
Divergence Signals: If price makes a new high, but PL does not, it can indicate a weakening trend (bearish divergence) and vice versa for bullish divergence.
Customization:
Adjustable lookback period for sensitivity tuning.
Optional smoothing (e.g., moving average) for noise reduction.
Best Used For:
Short-term intraday trading to identify extreme market conditions.
Swing trading for catching momentum shifts.
Confluence trading when combined with trend-following indicators.
Sri_Momentum Sri_Momentum - Advanced Oscillator for Market Trends
Description
The Sri_Momentum is a powerful momentum-based oscillator that helps traders analyze price trends and market strength. This indicator utilizes two simple moving averages (SMA) to calculate the Awesome Oscillator (AO) and a signal line for trend confirmation. The histogram dynamically changes color based on the crossover between AO and the signal line, providing clear bullish and bearish signals.
✅ Awesome Oscillator (AO) Calculation - Measures market momentum using a fast and slow SMA.
✅ Signal Line for Confirmation - A smoothed moving average of AO to help traders identify trend shifts.
✅ Dynamic Histogram Color Coding - Easy-to-interpret histogram with four colors indicating trend strength and direction.
✅ Custom Sensitivity Input - Adjusts the AO calculation to fine-tune responsiveness.
✅ Zero Line Reference - A baseline to differentiate bullish and bearish momentum.
How It Works
Fast SMA (default: 5-period) and Slow SMA (default: 34-period) are calculated based on the average of high and low prices.
AO (Awesome Oscillator) = (Fast SMA - Slow SMA) * Sensitivity
Signal Line = Smoothed AO using a 7-period SMA
Histogram Color Logic:
🔵 Strong Bullish → AO > Signal & AO ≥ 0 (Green)
🔴 Weak Bullish → AO > Signal & AO < 0 (Light Red)
🟢 Weak Bearish → AO < Signal & AO ≥ 0 (Light Green)
🔥 Strong Bearish → AO < Signal & AO < 0 (Dark Red)
How to Use the Sri_Momentum Indicator
📌 Bullish Momentum → When AO crosses above the Signal Line, and the histogram turns green.
📌 Bearish Momentum → When AO crosses below the Signal Line, and the histogram turns red.
📌 Trend Strength → Darker colors indicate stronger trends; lighter colors suggest weaker trends.
📌 Zero Line Crossover → If AO moves above zero, it suggests bullish strength; if below zero, bearish control.
Fortuna Trend Predictor**Fortuna Trend Predictor**
### Overview
**Fortuna Trend Predictor** is a powerful trend analysis tool that combines multiple technical indicators to estimate trend strength, volatility, and probability of price movement direction. This indicator is designed to help traders identify potential trend shifts and confirm trade setups with improved accuracy.
### Key Features
- **Trend Strength Analysis**: Uses the difference between short-term and long-term Exponential Moving Averages (EMA) normalized by the Average True Range (ATR) to determine trend strength.
- **Directional Strength via ADX**: Calculates the Average Directional Index (ADX) manually to measure the strength of the trend, regardless of its direction.
- **Probability Estimation**: Provides a probabilistic assessment of price movement direction based on trend strength.
- **Volume Confirmation**: Incorporates a volume filter that validates signals when the trading volume is above its moving average.
- **Volatility Filter**: Uses ATR to identify high-volatility conditions, helping traders avoid false signals during low-volatility periods.
- **Overbought & Oversold Levels**: Includes RSI-based horizontal reference lines to highlight potential reversal zones.
### Indicator Components
1. **ATR (Average True Range)**: Measures market volatility and serves as a denominator to normalize EMA differences.
2. **EMA (Exponential Moving Averages)**:
- **Short EMA (20-period)** - Captures short-term price movements.
- **Long EMA (50-period)** - Identifies the overall trend.
3. **Trend Strength Calculation**:
- Formula: `(Short EMA - Long EMA) / ATR`
- The higher the value, the stronger the trend.
4. **ADX Calculation**:
- Computes +DI and -DI manually to generate ADX values.
- Higher ADX indicates a stronger trend.
5. **Volume Filter**:
- Compares current volume to a 20-period moving average.
- Signals are more reliable when volume exceeds its average.
6. **Volatility Filter**:
- Detects whether ATR is above its own moving average, multiplied by a user-defined threshold.
7. **Probability Plot**:
- Formula: `50 + 50 * (Trend Strength / (1 + abs(Trend Strength)))`
- Values range from 0 to 100, indicating potential movement direction.
### How to Use
- When **Probability Line is above 70**, the trend is strong and likely to continue.
- When **Probability Line is below 30**, the trend is weak or possibly reversing.
- A rising **ADX** confirms strong trends, while a falling ADX suggests consolidation.
- Combine with price action and other confirmation tools for best results.
### Notes
- This indicator does not generate buy/sell signals but serves as a decision-support tool.
- Works best on higher timeframes (H1 and above) to filter out noise.
---
### Example Chart
*The chart below demonstrates how Fortuna Trend Predictor can help identify strong trends and avoid false breakouts by confirming signals with volume and volatility filters.*
Awesome Oscillator (AO) with Signals [AIBitcoinTrend]👽 Multi-Scale Awesome Oscillator (AO) with Signals (AIBitcoinTrend)
The Multi-Scale Awesome Oscillator transforms the traditional Awesome Oscillator (AO) by integrating multi-scale wavelet filtering, enhancing its ability to detect momentum shifts while maintaining responsiveness across different market conditions.
Unlike conventional AO calculations, this advanced version refines trend structures using high-frequency, medium-frequency, and low-frequency wavelet components, providing traders with superior clarity and adaptability.
Additionally, it features real-time divergence detection and an ATR-based dynamic trailing stop, making it a powerful tool for momentum analysis, reversals, and breakout strategies.
👽 What Makes the Multi-Scale AO – Wavelet-Enhanced Momentum Unique?
Unlike traditional AO indicators, this enhanced version leverages wavelet-based decomposition and volatility-adjusted normalization, ensuring improved signal consistency across various timeframes and assets.
✅ Wavelet Smoothing – Multi-Scale Extraction – Captures short-term fluctuations while preserving broader trend structures.
✅ Frequency-Based Detail Weights – Separates high, medium, and low-frequency components to reduce noise and improve trend clarity.
✅ Real-Time Divergence Detection – Identifies bullish and bearish divergences for early trend reversals.
✅ Crossovers & ATR-Based Trailing Stops – Implements intelligent trade management with adaptive stop-loss levels.
👽 The Math Behind the Indicator
👾 Wavelet-Based AO Smoothing
The indicator applies multi-scale wavelet decomposition to extract high-frequency, medium-frequency, and low-frequency trend components, ensuring an optimal balance between reactivity and smoothness.
sma1 = ta.sma(signal, waveletPeriod1)
sma2 = ta.sma(signal, waveletPeriod2)
sma3 = ta.sma(signal, waveletPeriod3)
detail1 = signal - sma1 // High-frequency detail
detail2 = sma1 - sma2 // Intermediate detail
detail3 = sma2 - sma3 // Low-frequency detail
advancedAO = weightDetail1 * detail1 + weightDetail2 * detail2 + weightDetail3 * detail3
Why It Works:
Short-Term Smoothing: Captures rapid fluctuations while minimizing noise.
Medium-Term Smoothing: Balances short-term and long-term trends.
Long-Term Smoothing: Enhances trend stability and reduces false signals.
👾 Z-Score Normalization
To ensure consistency across different markets, the Awesome Oscillator is normalized using a Z-score transformation, making overbought and oversold levels stable across all assets.
normFactor = ta.stdev(advancedAO, normPeriod)
normalizedAO = advancedAO / nz(normFactor, 1)
Why It Works:
Standardizes AO values for comparison across assets.
Enhances signal reliability, preventing misleading spikes.
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence
Price makes a lower low, while AO forms a higher low.
A buy signal is confirmed when AO starts rising.
Bearish Divergence
Price makes a higher high, while AO forms a lower high.
A sell signal is confirmed when AO starts declining.
👾 Buy & Sell Signals with Trailing Stop
Bullish Setup:
✅AO crosses above the bullish trigger level → Buy Signal.
✅Trailing stop placed at Low - (ATR × Multiplier).
✅Exit if price crosses below the stop.
Bearish Setup:
✅AO crosses below the bearish trigger level → Sell Signal.
✅Trailing stop placed at High + (ATR × Multiplier).
✅Exit if price crosses above the stop.
👽 Why It’s Useful for Traders
Wavelet-Enhanced Filtering – Retains essential trend details while eliminating excessive noise.
Multi-Scale Momentum Analysis – Separates different trend frequencies for enhanced clarity.
Real-Time Divergence Alerts – Identifies early reversal signals for better entries and exits.
ATR-Based Risk Management – Ensures stops dynamically adapt to market conditions.
Works Across Markets & Timeframes – Suitable for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
AO Short Period – Defines the short-term moving average for AO calculation.
AO Long Period – Defines the long-term moving average for AO smoothing.
Wavelet Smoothing – Adjusts multi-scale decomposition for different market conditions.
Divergence Detection – Enables or disables real-time divergence analysis. Normalization Period – Sets the lookback period for standard deviation-based AO normalization.
Cross Signals Sensitivity – Controls crossover signal strength for buy/sell signals.
ATR Trailing Stop Multiplier – Adjusts the sensitivity of the trailing stop.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Price / 200 SMA Ratio (Pr)Price / 200 SMA Ratio (Pr) Indicator
The Price / 200 SMA Ratio (Pr) indicator is designed to help traders analyze the relationship between the current price and the 200-period Simple Moving Average (SMA). By calculating the ratio of the close price to the 200 SMA, the indicator provides a visual representation of how the price compares to the long-term trend, giving traders a clear view of potential overbought or oversold conditions.
How It Works:
Ratio Calculation:
The core of this indicator lies in the ratio between the current close price and the 200-period Simple Moving Average (SMA). The formula is straightforward:
Ratio = Close Price / 200 SMA
This ratio indicates whether the current price is above or below the long-term trend (the 200 SMA). A ratio greater than 1 means the price is above the 200 SMA, while a ratio below 1 suggests the price is below the 200 SMA.
Color-Coded Ratio Representation:
The ratio is displayed as a line on the chart with a color that changes dynamically based on the value of the ratio. The color-coding system helps quickly identify key levels:
Black: When the ratio is greater than 5, the price is significantly above the 200 SMA, indicating a highly overbought condition.
Red: When the ratio is greater than 3.5, it signals that the price is significantly above the long-term average but not in extreme territory.
Blue: When the ratio is less than 1, the price is below the 200 SMA, indicating that the market may be in an oversold condition.
Purple: When the ratio is below 0.7, it suggests an extremely oversold market, well below the long-term average.
Green: For values in between, the ratio is considered to be in a more neutral range, showing a balanced market position.
Horizontal Reference Lines:
To make the interpretation of the ratio easier, the indicator includes several reference lines plotted at key ratio levels. These lines help traders visualize specific price zones, giving them clear boundaries for potential trading decisions:
5 Zone (Black line): Marks an extremely high price level, indicating a highly overbought condition.
3.5 Zone (Red line): Represents the upper price zone, where prices are significantly higher than the 200 SMA.
2 Zone (Purple line): This line marks the mid-range of the ratio, providing a visual representation of the transition between overbought and oversold conditions.
1 Zone (Orange line): The 1.0 line is where the price equals the 200 SMA, indicating a balanced market. Prices above 1.0 are considered above average, and prices below 1.0 are below average.
0.7 Zone (Blue line): Represents a very low price level, suggesting an extremely oversold market.
Extra Low Zone (Green line): This line marks an even lower price level, indicating severe oversold conditions.
Background Coloring:
In addition to the ratio line and reference lines, the background color of the chart changes dynamically to provide additional context to the trader:
Red Background: When the ratio is greater than 3.5, the background becomes red, signaling an overbought market condition.
Blue Background: When the ratio is less than 1, the background turns blue, indicating a potential oversold market.
Black Background: If the ratio exceeds 5, the background will be black, signifying an extreme overbought condition.
Green Background: If the ratio drops below 0.7, the background turns green, highlighting an extremely oversold market.
Candle Coloring:
The indicator also changes the color of the individual price bars (candles) based on the ratio value:
Black Candles: When the ratio is greater than 5 or less than 0.7, the price bars are black to emphasize extreme conditions in the market.
White Candles: For all other values, the candles are white, representing a neutral market condition.
What This Indicator Tells You:
Overbought Conditions: When the ratio is significantly above 1 (especially greater than 3.5 or 5), it indicates that the price is far above the 200 SMA, suggesting that the market may be overbought and could experience a correction.
Oversold Conditions: When the ratio is significantly below 1 (especially below 0.7 or 0.5), it suggests that the price is far below the 200 SMA, indicating that the market may be oversold and could be due for a bounce.
Trend and Momentum: The ratio provides insight into the overall trend. If the ratio is consistently above 1, it means the price is generally in an uptrend, and if it’s below 1, it indicates a downtrend.
Why Use This Indicator?
The Price / 200 SMA Ratio indicator is a valuable tool for traders who want to gain insights into the strength or weakness of the price relative to the long-term trend (200 SMA). The color-coding system provides an easy-to-read visual cue, and the reference lines allow traders to identify key price levels where potential reversal or continuation could occur. It helps to spot areas of overbought or oversold conditions, making it ideal for traders looking to enter or exit positions based on extreme price movements.
By combining this indicator with other technical analysis tools, traders can enhance their strategy and make more informed decisions in the market.
Clustering Volatility (ATR-ADR-ChaikinVol) [Sam SDF-Solutions]The Clustering Volatility indicator is designed to evaluate market volatility by combining three widely used measures: Average True Range (ATR), Average Daily Range (ADR), and the Chaikin Oscillator.
Each indicator is normalized using one of the available methods (MinMax, Rank, or Z-score) to create a unified metric called the Score. This Score is further smoothed with an Exponential Moving Average (EMA) to reduce noise and provide a clearer view of market conditions.
Key Features:
Multi-Indicator Integration: Combines ATR, ADR, and the Chaikin Oscillator into a single Score that reflects overall market volatility.
Flexible Normalization: (Supports three normalization methods)
MinMax: Scales values between the observed minimum and maximum.
Rank: Normalizes based on the relative rank within a moving window.
Z-score: Standardizes values using mean and standard deviation.
Dynamic Window Selection: Offers an automatic window selection option based on a specified lookback period, or a fixed window size can be used.
Customizable Weights: Allows the user to assign individual weights to ATR, ADR, and the Chaikin Oscillator. Optionally, weights can be normalized to sum to 1.
Score Smoothing: Applies an EMA to the computed Score to smooth out short-term fluctuations and reduce market noise.
Cluster Visualization: Divides the smoothed Score into a number of clusters, each represented by a distinct color. These colors can be applied to the price bars (if enabled) for an immediate visual indication of the current volatility regime.
How It Works:
Input & Window Setup: Users set parameters for indicator periods, normalization methods, weights, and window size. The indicator can automatically determine the analysis window based on the number of lookback days.
Calculation of Metrics: The indicator computes the ATR, ADR (as the average of bar ranges), and the Chaikin Oscillator (based on the difference between short and long EMAs of the Accumulation/Distribution line).
Normalization & Scoring: Each indicator’s value is normalized and then weighted to form a raw Score. This raw Score is scaled to a range using statistics from the chosen window.
Smoothing & Clustering: The raw Score is smoothed using an EMA. The resulting smoothed Score is then multiplied by the number of clusters to assign a cluster index, which is used to choose a color for visual signals.
Visualization: The smoothed Score is plotted on the chart with a color that changes based on its value (e.g., lime for low, red for high, yellow for intermediate values). Optionally, the price bars are colored according to the assigned cluster.
_____________
This indicator is ideal for traders seeking a quick and clear assessment of market volatility. By integrating multiple volatility measures into one comprehensive Score, it simplifies analysis and aids in making more informed trading decisions.
For more detailed instructions, please refer to the guide here:
Clustering & Divergences (RSI-Stoch-CCI) [Sam SDF-Solutions]The Clustering & Divergences (RSI-Stoch-CCI) indicator is a comprehensive technical analysis tool that consolidates three popular oscillators—Relative Strength Index (RSI), Stochastic, and Commodity Channel Index (CCI)—into one unified metric called the Score. This Score offers traders an aggregated view of market conditions, allowing them to quickly identify whether the market is oversold, balanced, or overbought.
Functionality:
Oscillator Clustering: The indicator calculates the values of RSI, Stochastic, and CCI using user-defined periods. These oscillator values are then normalized using one of three available methods: MinMax, Z-Score, or Z-Bins.
Score Calculation: Each normalized oscillator value is multiplied by its respective weight (which the user can adjust), and the weighted values are summed to generate an overall Score. This Score serves as a single, interpretable metric representing the combined oscillator behavior.
Market Clustering: The indicator performs clustering on the Score over a configurable window. By dividing the Score range into a set number of clusters (also configurable), the tool visually represents the market’s state. Each cluster is assigned a unique color so that traders can quickly see if the market is trending toward oversold, balanced, or overbought conditions.
Divergence Detection: The script automatically identifies both Regular and Hidden divergences between the price action and the Score. By using pivot detection on both price and Score data, the indicator marks potential reversal signals on the chart with labels and connecting lines. This helps in pinpointing moments when the price and the underlying oscillator dynamics diverge.
Customization Options: Users have full control over the indicator’s behavior. They can adjust:
The periods for each oscillator (RSI, Stochastic, CCI).
The weights applied to each oscillator in the Score calculation.
The normalization method and its manual boundaries.
The number of clusters and whether to invert the cluster order.
Parameters for divergence detection (such as pivot sensitivity and the minimum/maximum bar distance between pivots).
Visual Enhancements:
Depending on the user’s preference, either the Score or the Cluster Index (derived from the clustering process) is plotted on the chart. Additionally, the script changes the color of the price bars based on the identified cluster, providing an at-a-glance visual cue of the current market regime.
Logic & Methodology:
Input Parameters: The script starts by accepting user inputs for clustering settings, oscillator periods, weights, divergence detection, and manual boundary definitions for normalization.
Oscillator Calculation & Normalization: It computes RSI, Stochastic, and CCI values from the price data. These values are then normalized using either the MinMax method (scaling between a lower and upper band) or the Z-Score method (standardizing based on mean and standard deviation), or using Z-Bins for an alternative scaling approach.
Score Computation: Each normalized oscillator is multiplied by its corresponding weight. The sum of these products results in the overall Score that represents the combined oscillator behavior.
Clustering Algorithm: The Score is evaluated over a moving window to determine its minimum and maximum values. Using these values, the script calculates a cluster index that divides the Score into a predefined number of clusters. An option to invert the cluster calculation is provided to adjust the interpretation of the clustering.
Divergence Analysis: The indicator employs pivot detection (using left and right bar parameters) on both the price and the Score. It then compares recent pivot values to detect regular and hidden divergences. When a divergence is found, the script plots labels and optional connecting lines to highlight these key moments on the chart.
Plotting: Finally, based on the user’s selection, the indicator plots either the Score or the Cluster Index. It also overlays manual boundary lines (for the chosen normalization method) and adjusts the bar colors according to the cluster to provide clear visual feedback on market conditions.
_________
By integrating multiple oscillator signals into one cohesive tool, the Clustering & Divergences (RSI-Stoch-CCI) indicator helps traders minimize subjective analysis. Its dynamic clustering and automated divergence detection provide a streamlined method for assessing market conditions and potentially enhancing the accuracy of trading decisions.
For further details on using this indicator, please refer to the guide available at:
CAM | Comparison and Normalisation Indicator Description: "CAM | Comparison and Normalisation" 🌟
Overview 📊
The "CAM | Comparison and Normalisation" indicator is a must-have tool for forex traders! 🚀 It analyzes the strength of a currency pair’s base and quote currencies against the pair’s price movement, using automatic detection, composite calculations, and normalization—all wrapped in a colorful, easy-to-read package. 🎨
How It Works 🛠️
- 🔍 **Automatic Currency Detection**: Instantly spots the base (e.g., EUR in EURUSD) and quote (e.g., USD) currencies—no manual setup needed!
- 💪 **Composite Strength Calculation**: Measures each currency’s power by averaging its rate against 9 major currencies (GBP, EUR, CHF, USD, AUD, CAD, NZD, JPY, NOK). A true strength test! 🏋️♂️
- 📏 **Normalization**: Scales everything with a smart formula (price minus moving average, divided by standard deviation) so base, quote, and pair prices play on the same field. ⚖️
- 🎨 **Dynamic Visualization**:
- Plots 3 normalized lines with unique colors:
- **Base Composite** (e.g., purple for GBP, blue for EUR)
- **Quote Composite** (e.g., green for USD, yellow for JPY)
- **Actual Pair** (⚪ white)
- Adds labels on the last bar (e.g., "Base: GBP" in purple). 🏷️
- 📊 **Performance Histogram**: Shows the base vs. quote strength gap with a green (👍) or red (👎) area chart—adjusted by the pair’s price.
- ⚙️ **Customizable Settings**: Adjust Scaling Period (50), Histogram Scale (0.5), and Levels (1, -1) to fit your style! 🎚️
Benefits 🌈
- 🧠 **Simplified Analysis**: Normalized data cuts through the noise, making trends crystal clear.
- ✅ **Enhanced Decisions**: Colorful lines and histograms spotlight trading signals fast.
- ⏱️ **Time-Saver**: No setup—just drop it on a chart and go!
- 🌍 **Versatile**: Works on any supported pair, with colors adapting automatically (e.g., orange AUD on AUDCAD).
- 👀 **Eye-Catching**: Currency-specific colors (like purple GBP from pound notes) make it fun and easy to follow.
How It Helps Traders 💡
- 📈 **Spot Trends**: See if the base is flexing 💪 or the quote is fading 📉, and how it ties to the pair’s price.
- ⚠️ **Catch Divergences**: Histogram flags when currency strength and price don’t match—hello, opportunity! 🚨
- 🛡️ **Manage Risk**: Normalized values and levels help gauge overbought/oversold zones for smarter stops.
- **Big Picture**: Compare currency strength to pair price for strategic edge, whether scalping or swinging.
Example in Action 🎬
- **GBPUSD Chart**:
- purple GBP line climbs, greenUSD dips, histogram turns green 👍—GBP’s gaining! If the white pair line rises too, it’s a bullish hint.
Conclusion ✨
"CAM | Comparison and Normalisation" turns forex complexity into clear, actionable insights. With its auto-detection, vibrant visuals, and trader-friendly design, it’s your shortcut to smarter trades! 📈💰
Custom TABI Model with LayersCustom Top and Bottom Indicator (TABI) (Is a Trend Adaptive Blow-Off Indicator) -
User Guide & Description
Introduction
The TABI (Trend Adaptive Blow-Off Indicator) is a refined, multi-layered RSI tool designed to enhance trend analysis, detect momentum shifts, and highlight overbought/oversold conditions with a more nuanced, color-coded approach. This indicator is useful for traders seeking to identify key reversal points, confirm trend strength, and filter trade setups more effectively than traditional RSI.
By incorporating volume-based confirmation and divergence detection, TABI aims to reduce false signals and improve trade timing.
How It Works
TABI builds on the Relative Strength Index (RSI) by introducing:
A smoothed RSI calculation for better trend readability.
11 color-coded RSI levels, allowing traders to visually distinguish weak, neutral, and extreme conditions.
Volume-based confirmation to detect high-conviction moves.
Bearish & Bullish Divergence Detection, inspired by Market Cipher methods, to spot potential reversals early.
Overbought & Oversold alerts, with optional candlestick color changes to highlight trade signals.
Key Features
✅ Color-Coded RSI for Better Readability
The RSI is divided into multi-layered color zones:
🔵 Light Blue: Extremely oversold
🟢 Lime Green: Mild oversold, potential trend reversal
🟡 Yellow & Orange: Neutral, momentum consolidation
🟠 Dark Orange: Caution, overbought conditions developing
🔴 Red: Extreme overbought, possible exhaustion
✅ Divergence Detection
Bearish Divergence: Price makes higher highs, RSI makes lower highs → Potential top signal
Bullish Divergence: Price makes lower lows, RSI makes higher lows → Potential bottom signal
✅ Volume Confirmation Filter
Requires a 50% above-average volume spike for strong buy/sell signals, reducing false breakouts.
✅ Dynamic Labels & Alerts
🚨 Blow-Off Top Warning: If RSI is overbought + volume spikes + divergence detected
🟢 Oversold Bottom Alert: If RSI is oversold + bullish divergence
Candlestick color changes when extreme conditions are met.
How to Use
📌 Entry & Exit Signals
Buy Consideration:
RSI enters Green Zone (oversold)
Bullish divergence detected
Volume confirms the move
Sell Consideration:
RSI enters Red Zone (overbought)
Bearish divergence detected
Volume confirms exhaustion
📌 Trend Confirmation
Use the yellow/orange levels to confirm strong trends before entering counter-trend trades.
📌 Filtering Trade Noise
The RSI smoothing helps reduce false whipsaws, making it easier to read true momentum shifts.
Customization Options
🔧 User-Defined RSI Thresholds
Adjust the overbought/oversold levels to match your trading style.
🔧 Divergence Sensitivity
Modify the lookback period to fine-tune divergence detection accuracy.
🔧 Volume Thresholds
Set custom volume multipliers to control confirmation requirements.
Why This is Unique
🔹 Unlike traditional RSI, TABI visually maps RSI zones into layered gradients, making it easy to spot momentum shifts.
🔹 The multi-layered color scheme adds an intuitive, heatmap-like effect to RSI, helping traders quickly gauge conditions.
🔹 Incorporates CCF-inspired divergence detection and volume filtering, making signals more robust.
🔹 Dynamic labeling system ensures clarity without cluttering the chart.
Alerts & Notifications
🔔 TradingView Alerts Included
🚨 Blow-Off Top Detected → RSI overbought + volume spike + bearish divergence.
🟢 Oversold Bottom Detected → RSI oversold + bullish divergence.
Set alerts to receive notifications without watching the charts 24/7.
Final Thoughts
TABI is designed to simplify RSI analysis, provide better trade signals, and improve decision-making. Whether you're day trading, swing trading, or long-term investing, this tool helps you navigate market conditions with confidence.
🔥 Use it to detect high-probability reversals, confirm trends, and improve trade entries/exits! 🚀
AI Adaptive Oscillator [PhenLabs]📊 Algorithmic Adaptive Oscillator
Version: PineScript™ v6
📌 Description
The AI Adaptive Oscillator is a sophisticated technical indicator that employs ensemble learning and adaptive weighting techniques to analyze market conditions. This innovative oscillator combines multiple traditional technical indicators through an AI-driven approach that continuously evaluates and adjusts component weights based on historical performance. By integrating statistical modeling with machine learning principles, the indicator adapts to changing market dynamics, providing traders with a responsive and reliable tool for market analysis.
🚀 Points of Innovation:
Ensemble learning framework with adaptive component weighting
Performance-based scoring system using directional accuracy
Dynamic volatility-adjusted smoothing mechanism
Intelligent signal filtering with cooldown and magnitude requirements
Signal confidence levels based on multi-factor analysis
🔧 Core Components
Ensemble Framework : Combines up to five technical indicators with performance-weighted integration
Adaptive Weighting : Continuous performance evaluation with automated weight adjustment
Volatility-Based Smoothing : Adapts sensitivity based on current market volatility
Pattern Recognition : Identifies potential reversal patterns with signal qualification criteria
Dynamic Visualization : Professional color schemes with gradient intensity representation
Signal Confidence : Three-tiered confidence assessment for trading signals
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-Component Ensemble : Integrates RSI, CCI, Stochastic, MACD, and Volume-weighted momentum
Performance Scoring : Evaluates each component based on directional prediction accuracy
Adaptive Smoothing : Automatically adjusts based on market volatility
Pattern Detection : Identifies potential reversal patterns in overbought/oversold conditions
Signal Filtering : Prevents excessive signals through cooldown periods and minimum change requirements
Confidence Assessment : Displays signal strength through intuitive confidence indicators (average, above average, excellent)
🎨 Visualization
Gradient-Filled Oscillator : Color intensity reflects strength of market movement
Clear Signal Markers : Distinct bullish and bearish pattern signals with confidence indicators
Range Visualization : Clean representation of oscillator values from -6 to 6
Zero Line : Clear demarcation between bullish and bearish territory
Customizable Colors : Color schemes that can be adjusted to match your chart style
Confidence Symbols : Intuitive display of signal confidence (no symbol, +, or ++) alongside direction markers
📖 Usage Guidelines
⚙️ Settings Guide
Color Settings
Bullish Color
Default: #2b62fa (Blue)
This setting controls the color representation for bullish movements in the oscillator. The color appears when the oscillator value is positive (above zero), with intensity indicating the strength of the bullish momentum. A brighter shade indicates stronger bullish pressure.
Bearish Color
Default: #ce9851 (Amber)
This setting determines the color representation for bearish movements in the oscillator. The color appears when the oscillator value is negative (below zero), with intensity reflecting the strength of the bearish momentum. A more saturated shade indicates stronger bearish pressure.
Signal Settings
Signal Cooldown (bars)
Default: 10
Range: 1-50
This parameter sets the minimum number of bars that must pass before a new signal of the same type can be generated. Higher values reduce signal frequency and help prevent overtrading during choppy market conditions. Lower values increase signal sensitivity but may generate more false positives.
Min Change For New Signal
Default: 1.5
Range: 0.5-3.0
This setting defines the minimum required change in oscillator value between consecutive signals of the same type. It ensures that new signals represent meaningful changes in market conditions rather than minor fluctuations. Higher values produce fewer but potentially higher-quality signals, while lower values increase signal frequency.
AI Core Settings
Base Length
Default: 14
Minimum: 2
This fundamental setting determines the primary calculation period for all technical components in the ensemble (RSI, CCI, Stochastic, etc.). It represents the lookback window for each component’s base calculation. Shorter periods create a more responsive but potentially noisier oscillator, while longer periods produce smoother signals with potential lag.
Adaptive Speed
Default: 0.1
Range: 0.01-0.3
Controls how quickly the oscillator adapts to new market conditions through its volatility-adjusted smoothing mechanism. Higher values make the oscillator more responsive to recent price action but potentially more erratic. Lower values create smoother transitions but may lag during rapid market changes. This parameter directly influences the indicator’s adaptiveness to market volatility.
Learning Lookback Period
Default: 150
Minimum: 10
Determines the historical data range used to evaluate each ensemble component’s performance and calculate adaptive weights. This setting controls how far back the AI “learns” from past performance to optimize current signals. Longer periods provide more stable weight distribution but may be slower to adapt to regime changes. Shorter periods adapt more quickly but may overreact to recent anomalies.
Ensemble Size
Default: 5
Range: 2-5
Specifies how many technical components to include in the ensemble calculation.
Understanding The Interaction Between Settings
Base Length and Learning Lookback : The base length determines the reactivity of individual components, while the lookback period determines how their weights are adjusted. These should be balanced according to your timeframe - shorter timeframes benefit from shorter base lengths, while the lookback should generally be 10-15 times the base length for optimal learning.
Adaptive Speed and Signal Cooldown : These settings control sensitivity from different angles. Increasing adaptive speed makes the oscillator more responsive, while reducing signal cooldown increases signal frequency. For conservative trading, keep adaptive speed low and cooldown high; for aggressive trading, do the opposite.
Ensemble Size and Min Change : Larger ensembles provide more stable signals, allowing for a lower minimum change threshold. Smaller ensembles might benefit from a higher threshold to filter out noise.
Understanding Signal Confidence Levels
The indicator provides three distinct confidence levels for both bullish and bearish signals:
Average Confidence (▲ or ▼) : Basic signal that meets the minimum pattern and filtering criteria. These signals indicate potential reversals but with moderate confidence in the prediction. Consider using these as initial alerts that may require additional confirmation.
Above Average Confidence (▲+ or ▼+) : Higher reliability signal with stronger underlying metrics. These signals demonstrate greater consensus among the ensemble components and/or stronger historical performance. They offer increased probability of successful reversals and can be traded with less additional confirmation.
Excellent Confidence (▲++ or ▼++) : Highest quality signals with exceptional underlying metrics. These signals show strong agreement across oscillator components, excellent historical performance, and optimal signal strength. These represent the indicator’s highest conviction trade opportunities and can be prioritized in your trading decisions.
Confidence assessment is calculated through a multi-factor analysis including:
Historical performance of ensemble components
Degree of agreement between different oscillator components
Relative strength of the signal compared to historical thresholds
✅ Best Use Cases:
Identify potential market reversals through oscillator extremes
Filter trade signals based on AI-evaluated component weights
Monitor changing market conditions through oscillator direction and intensity
Confirm trade signals from other indicators with adaptive ensemble validation
Detect early momentum shifts through pattern recognition
Prioritize trading opportunities based on signal confidence levels
Adjust position sizing according to signal confidence (larger for ++ signals, smaller for standard signals)
⚠️ Limitations
Requires sufficient historical data for accurate performance scoring
Ensemble weights may lag during dramatic market condition changes
Higher ensemble sizes require more computational resources
Performance evaluation quality depends on the learning lookback period length
Even high confidence signals should be considered within broader market context
💡 What Makes This Unique
Adaptive Intelligence : Continuously adjusts component weights based on actual performance
Ensemble Methodology : Combines strength of multiple indicators while minimizing individual weaknesses
Volatility-Adjusted Smoothing : Provides appropriate sensitivity across different market conditions
Performance-Based Learning : Utilizes historical accuracy to improve future predictions
Intelligent Signal Filtering : Reduces noise and false signals through sophisticated filtering criteria
Multi-Level Confidence Assessment : Delivers nuanced signal quality information for optimized trading decisions
🔬 How It Works
The indicator processes market data through five main components:
Ensemble Component Calculation :
Normalizes traditional indicators to consistent scale
Includes RSI, CCI, Stochastic, MACD, and volume components
Adapts based on the selected ensemble size
Performance Evaluation :
Analyzes directional accuracy of each component
Calculates continuous performance scores
Determines adaptive component weights
Oscillator Integration :
Combines weighted components into unified oscillator
Applies volatility-based adaptive smoothing
Scales final values to -6 to 6 range
Signal Generation :
Detects potential reversal patterns
Applies cooldown and magnitude filters
Generates clear visual markers for qualified signals
Confidence Assessment :
Evaluates component agreement, historical accuracy, and signal strength
Classifies signals into three confidence tiers (average, above average, excellent)
Displays intuitive confidence indicators (no symbol, +, ++) alongside direction markers
💡 Note:
The AI Adaptive Oscillator performs optimally when used with appropriate timeframe selection and complementary indicators. Its adaptive nature makes it particularly valuable during changing market conditions, where traditional fixed-weight indicators often lose effectiveness. The ensemble approach provides a more robust analysis by leveraging the collective intelligence of multiple technical methodologies. Pay special attention to the signal confidence indicators to optimize your trading decisions - excellent (++) signals often represent the most reliable trade opportunities.
Binance BTC Backwardation / ContangoThis indicator calculates difference between price of Binance BTCUSDT, and Binance BTCUSDT.P.
If the difference is negative, then it is backwardation.
If the difference is positive, then it is contango.
SMA Trend Filter Oscillator (Adaptive)The "SMA Trend Filter Oscillator (Adaptive)" indicator is a technical analysis tool that helps traders determine the direction and strength of a trend based on an adaptive Simple Moving Average (SMA). The oscillator calculates the difference between the closing price and the SMA value, allowing for the visualization of price deviation from the average and the assessment of current market dynamics.
Key Features of the Indicator:
Adaptation to Time Frame: The indicator automatically adjusts the SMA length based on the current time frame, making it versatile for use across different time intervals. For example:
Monthly Time Frame: SMA with a length of 50.
Weekly Time Frame: SMA with a length of 40.
Daily Time Frame: SMA with a length of 20.
Hourly Time Frame: SMA with a length of 10.
Intraday Time Frames: SMA with a length of 5 (for time frames up to 15 minutes) or 7 (for others).
SMA-Based Oscillator: The oscillator is calculated as the difference between the closing price and the SMA value. This allows:
Bullish Trend Identification: When the oscillator is above zero (price is above SMA).
Bearish Trend Identification: When the oscillator is below zero (price is below SMA).
Visualization: The oscillator is displayed as a histogram, where:
Green Color indicates a bullish trend.
Red Color indicates a bearish trend.
The Zero Line (Gray) serves as a reference for trend reversal.
How to Use the Indicator:
Trend Identification: If the oscillator is above zero and colored green, it signals a bullish trend. If it is below zero and colored red, it indicates a bearish trend.
Trend Strength: The larger the oscillator value (in either direction), the stronger the trend. Small oscillator values (close to zero) may indicate sideways movement or weak trend.
Entry and Exit Points:
Buy: When the oscillator crosses the zero line from below to above (transition from red to green).
Sell: When the oscillator crosses the zero line from above to below (transition from green to red).
Signal Filtering: Use the indicator in combination with other technical analysis tools (e.g., RSI, MACD, or support/resistance levels) to confirm signals.
Advantages of the Indicator:
Adaptability: Automatic adjustment of SMA length to the current time frame makes it versatile.
Simplicity: Intuitive histogram visualization allows for quick assessment of market conditions.
Flexibility: Can be used on any market (stocks, forex, cryptocurrencies) and time frame.
Limitations:
Lag: Like any SMA-based indicator, it can lag due to the use of average values.
False Signals: In sideways markets (flat), the indicator may generate false signals.
Risk Management:
Always set stop-losses and take-profits to minimize losses.
Test the indicator on historical data before using it on a live account.
The "SMA Trend Filter Oscillator (Adaptive)" is a powerful tool for traders seeking to quickly evaluate trends and their strength. Its adaptability and simplicity make it suitable for both novice and experienced traders.
Индикатор "SMA Trend Filter Oscillator (Adaptive)" — это инструмент технического анализа, который помогает трейдерам определять направление тренда и его силу на основе адаптивной скользящей средней (SMA). Осциллятор рассчитывает разницу между ценой закрытия и значением SMA, что позволяет визуализировать отклонение цены от среднего значения и оценивать текущую рыночную динамику.
Основные особенности индикатора:
Адаптация к таймфрейму
Индикатор автоматически подстраивает длину SMA в зависимости от текущего таймфрейма, что делает его универсальным для использования на различных временных интервалах. Например:
Месячный таймфрейм (Monthly): SMA с длиной 50.
Недельный таймфрейм (Weekly): SMA с длиной 40.
Дневной таймфрейм (Daily): SMA с длиной 20.
Часовой таймфрейм (Hourly): SMA с длиной 10.
Внутридневные таймфреймы (Intraday): SMA с длиной 5 (для таймфреймов до 15 минут) или 7 (для остальных).
Осциллятор на основе SMA
Осциллятор рассчитывается как разница между ценой закрытия и значением SMA. Это позволяет:
Определять бычий тренд, когда осциллятор выше нуля (цена выше SMA).
Определять медвежий тренд, когда осциллятор ниже нуля (цена ниже SMA).
Визуализация
Осциллятор отображается в виде гистограммы, где:
Зелёный цвет указывает на бычий тренд.
Красный цвет указывает на медвежий тренд.
Линия нуля (серая) служит ориентиром для определения смены тренда.
Как использовать индикатор:
Определение тренда
Если осциллятор находится выше нуля и окрашен в зелёный цвет, это сигнализирует о бычьем тренде.
Если осциллятор находится ниже нуля и окрашен в красный цвет, это указывает на медвежий тренд.
Сила тренда
Чем больше значение осциллятора (в положительную или отрицательную сторону), тем сильнее тренд.
Небольшие значения осциллятора (близкие к нулю) могут указывать на боковое движение или слабость тренда.
Точки входа и выхода
Покупка (Buy): Когда осциллятор пересекает нулевую линию снизу вверх (переход из красной зоны в зелёную).
Продажа (Sell): Когда осциллятор пересекает нулевую линию сверху вниз (переход из зелёной зоны в красную).
Фильтрация сигналов
Используйте индикатор в сочетании с другими инструментами технического анализа (например, RSI, MACD или уровнями поддержки/сопротивления) для подтверждения сигналов.
Преимущества индикатора:
Адаптивность: Автоматическая настройка длины SMA под текущий таймфрейм делает индикатор универсальным.
Простота: Интуитивно понятная визуализация в виде гистограммы позволяет быстро оценить рыночную ситуацию.
Гибкость: Может использоваться на любых рынках (акции, форекс, криптовалюты) и таймфреймах.
Ограничения:
Запаздывание: Как и любой индикатор на основе SMA, он может запаздывать из-за использования средних значений.
Ложные сигналы: В условиях бокового движения (флэта) индикатор может генерировать ложные сигналы.
Управление рисками: Всегда устанавливайте стоп-лоссы и тейк-профиты, чтобы минимизировать потери.
Тестирование: Перед использованием на реальном счёте протестируйте индикатор на исторических данных.
Индикатор "SMA Trend Filter Oscillator (Adaptive)" — это мощный инструмент для трейдеров, которые хотят быстро оценить тренд и его силу. Его адаптивность и простота делают его подходящим как для начинающих, так и для опытных трейдеров
Enhanced ROC - Savitzky–Golay [AIBitcoinTrend]👽 Adaptive ROC - Savitzky–Golay (AIBitcoinTrend)
The Adaptive ROC - Savitzky–Golay redefines traditional Rate of Change (ROC) analysis by integrating Savitzky–Golay smoothing with volatility-adaptive normalization, allowing it to dynamically adjust across different market conditions. Unlike the standard ROC, which reacts rigidly to price changes, this advanced version refines trend signals while maintaining responsiveness to volatility.
Additionally, this indicator features real-time divergence detection and an ATR-based trailing stop system, equipping traders with a powerful toolset for momentum analysis, reversals, and trend-following strategies.
👽 What Makes the Adaptive ROC - Savitzky–Golay Unique?
Unlike conventional ROC indicators, this enhanced version leverages volatility-adjusted scaling and Z-score normalization to improve signal consistency across different timeframes and assets.
✅ Savitzky–Golay Smoothing – Reduces noise while preserving trend structure for clearer signals.
✅ Volatility-Adaptive Normalization – Ensures that overbought and oversold thresholds remain consistent across different markets.
✅ Real-Time Divergence Detection – Identifies early bullish and bearish divergence signals for potential reversals.
✅ Crossovers & ATR-Based Trailing Stops – Implements intelligent trade management with dynamic stop levels.
👽 The Math Behind the Indicator
👾 Savitzky–Golay Smoothing
The indicator applies a Savitzky–Golay filter to the raw ROC data, creating a smoother curve while preserving key inflection points. This technique prevents excessive lag while maintaining the integrity of price movements.
sg_roc = (roc_raw + 3*roc_raw + 5*roc_raw + 7*roc_raw + 5*roc_raw + 3*roc_raw + roc_raw ) / 25
👾 Volatility-Adaptive Scaling
By dynamically adjusting the smoothed ROC using standard deviation, the indicator ensures that momentum readings remain relative to the market’s current volatility.
volatility = ta.stdev(close, rocLength)
dynamicFactor = 1 / (1 + volatility / 100)
advanced_sg_roc = sg_roc * dynamicFactor
👾 Z-Score Normalization
To maintain a stable Overbought/Oversold structure across different markets, the ROC is normalized using a Z-score transformation, ensuring its values remain statistically relevant.
rocMean = ta.wma(advanced_sg_roc, lenZ)
rocStdev = ta.stdev(advanced_sg_roc, lenZ)
zRoc = (advanced_sg_roc - rocMean) / rocStdev
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while the ROC forms a higher low.
A buy signal is confirmed when the ROC starts rising.
Bearish Divergence Setup:
Price makes a higher high, while the ROC forms a lower high.
A sell signal is confirmed when the ROC starts declining.
👾 Buy & Sell Signals with Trailing Stop
Bullish Setup:
✅ ROC crosses above the bullish trigger level → Buy Signal.
✅ A bullish trailing stop is placed at Low - (ATR × Multiplier).
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ ROC crosses below the bearish trigger level → Sell Signal.
✅ A bearish trailing stop is placed at High + (ATR × Multiplier).
✅ Exit if price crosses above the stop.
👽 Why It’s Useful for Traders
Savitzky–Golay Filtering – Retains essential trend details while eliminating excessive noise.
Volatility-Adjusted Normalization – Makes overbought/oversold levels universally reliable across markets.
Real-Time Divergence Alerts – Identifies early reversal signals for optimal entries and exits.
ATR-Based Risk Management – Ensures stops dynamically adapt to market conditions.
Works Across Markets & Timeframes - Suitable for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
ROC Period – Defines the number of bars used for ROC calculation.
Smoothing Strength – Adjusts the degree of Savitzky–Golay filtering.
Volatility Scaling – Enables or disables the adaptive volatility factor.
Enable Divergence Analysis – Turns on real-time divergence detection.
Lookback Period – Specifies the pivot detection period for divergences.
Enable Crosses Signals – Activates trade signals based on ROC crossovers.
ATR Multiplier – Controls the sensitivity of the trailing stop.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Volatility-Enhanced Williams %R [AIBitcoinTrend]👽 Volatility-Enhanced Williams %R (AIBitcoinTrend)
The Volatility-Enhanced Williams %R takes the classic Williams %R oscillator to the next level by incorporating volatility-adaptive smoothing, making it significantly more responsive to market dynamics. Unlike the traditional version, which uses a fixed calculation method, this indicator dynamically adjusts its smoothing factor based on market volatility, helping traders capture trends more effectively while filtering out noise.
Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, providing traders with enhanced risk management tools and early reversal signals.
👽 What Makes the Volatility-Enhanced Williams %R Unique?
Unlike the standard Williams %R, which applies a simple lookback-based formula, this version integrates adaptive smoothing and volatility-based filtering to refine its signals and reduce false breakouts.
✅ Volatility-Adaptive Smoothing – Adjusts dynamically based on standard deviation, enhancing signal accuracy.
✅ Real-Time Divergence Detection – Identifies bullish and bearish divergences for early trend reversal signals.
✅ Crossovers & Trailing Stops – Implements Williams %R crossovers with ATR-based trailing stops for intelligent trade management.
👽 The Math Behind the Indicator
👾 Volatility-Adaptive Smoothing
The indicator smooths the Williams %R calculation by applying an adaptive filtering mechanism, which adjusts its responsiveness based on market conditions. This helps to eliminate whipsaws and makes trend-following strategies more reliable.
The smoothing function is defined as:
clamp(x, lo, hi) => math.min(math.max(x, lo), hi)
adaptive(src, prev, len, divisor, minAlpha, maxAlpha) =>
vol = ta.stdev(src, len)
alpha = clamp(vol / divisor, minAlpha, maxAlpha)
prev + alpha * (src - prev)
Where:
Volatility Factor (vol) measures price dispersion using standard deviation.
Adaptive Alpha (alpha) dynamically adjusts smoothing strength.
Clamped Output ensures that the smoothing factor remains within a stable range.
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while Williams %R forms a higher low.
Buy signal is confirmed when Williams %R reverses upward.
Bearish Divergence Setup:
Price makes a higher high, while Williams %R forms a lower high.
Sell signal is confirmed when Williams %R reverses downward.
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ Williams %R crosses above trigger level → Buy signal.
✅ A bullish trailing stop is placed at Low - (ATR × Multiplier).
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ Williams %R crosses below trigger level → Sell signal.
✅ A bearish trailing stop is placed at High + (ATR × Multiplier).
✅ Exit if price crosses above the stop.
👽 Why It’s Useful for Traders
Adaptive Filtering Mechanism – Avoids excessive noise while maintaining responsiveness.
Real-Time Divergence Alerts – Helps traders anticipate market reversals before they occur.
ATR-Based Risk Management – Stops dynamically adjust based on market volatility.
Multi-Market Compatibility – Works effectively across stocks, forex, crypto, and futures.
👽 Indicator Settings
Smoothing Factor – Controls how aggressively the indicator adapts to volatility.
Enable Divergence Analysis – Activates real-time divergence detection.
Lookback Period – Defines the number of bars for detecting pivot points.
Enable Crosses Signals – Turns on Williams %R crossover-based trade signals.
ATR Multiplier – Adjusts trailing stop sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Normalised Price Crossover - MACD but TickersEver noticed two different tickers are correlated yet have different lags? Ever find one ticker moves first and when the other finally goes to catch up, the first one has already reversed?
So I thought to myself, would be wicked if I took the faster one and made it into a 'Signal Line' and the slow one and made it into a 'Slow Line' almost like a MACD if you will.
So that's what I did, I took the price charts of the tickers and I normalised the price data so they could actually cross, plotted it and sat back to see it generate signals, lo and behold!
Pretty neat, though I'd advise to use spreads and such for the different tickers to really feel the power of the indicator, works well when you use formulas that model actual mechanisms instead of arbitrary price data of different assets as correlation =/= causation.
Enjoy.
Bollinger Momentum Deviation | QuantEdgeBIntroducing Bollinger Momentum Deviation (BMD) by QuantEdgeB
🛠️ Overview
Bollinger Momentum Deviation (BMD) is a trend-following momentum indicator designed to identify strong price movements while also detecting overbought and oversold conditions in ranging markets.
By normalizing a simple moving average (SMA) with standard deviation, BMD captures momentum shifts, helping traders make data-driven entries and exits. In trending conditions, it acts as a momentum confirmation tool, while in ranging markets, it highlights mean-reversion opportunities for profit-taking or re-accumulation.
BMD combines the best of both worlds—a robust trend-following framework with an integrated volatility-based overbought/oversold detection system.
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✨ Key Features
🔹 Momentum & Trend-Following Core
Built upon a normalized SMA with standard deviation filtering, BMD efficiently tracks price movements while reducing lag.
🔹 Overbought/Oversold Market Detection
By dynamically adjusting its thresholds based on standard deviation, it identifies high-probability reversion zones in sideways markets.
🔹 Adaptive Normalization Mechanism
Ensures consistent signal reliability across different assets and timeframes by standardizing momentum fluctuations.
🔹 Customizable Visual & Signal Settings
Includes multiple color modes, extra plots, and trend labels, making it easy to align with different trading styles.
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📊 How It Works
1️⃣ Normalized Momentum Calculation
BMD computes a normalized momentum score using a simple moving average (SMA) combined with a standard deviation (SD) filter to create dynamic upper and lower bands. The final momentum score is derived by normalizing the price within this volatility-adjusted range. This normalization makes momentum readings comparable across different price levels and timeframes.
2️⃣ Standard Deviation Filtering
Unlike traditional approaches where standard deviation is derived from price as is the first SD, BMDs second SD is driven from the normalized momentum oscillator itself. This allows for a volatility-adjusted smoothing mechanism that adapts to momentum shifts rather than raw price fluctuations. This ensures that the trend signals remain dynamic and responsive, filtering out short-term noise while keeping the core momentum structure intact. By applying standard deviation directly to the oscillator, BMD achieves a self-regulating feedback loop, improving accuracy in both trending and range-bound conditions.
3️⃣ Signal Generation
✅ Long Signal → Upper BMD SD > Long Threshold (83)
❌ Short Signal → Lower BMD SD < Short Threshold (60)
📌 Additional Features:
- Overbought Zone → Values above 130 indicate price extension.
- Oversold Zone → Values below -10 suggest potential accumulation.
- Momentum Labels → Optional "Long" and "Short" markers for clear trade identification.
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👥 Who Should Use It?
✅ Trend Traders & Momentum Followers → Use BMD as a confirmation tool for strong directional trends.
✅ Range & Mean Reversion Traders → Identify reversal opportunities at extreme BMD levels.
✅ Swing & Position Traders → Utilize normalized momentum shifts for data-driven entries & exits.
✅ Systematic & Quant Traders → Implement BMD within algorithmic frameworks for adaptive market detection.
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⚙️ Customization & Default Settings
🔧 Key Custom Inputs:
- Base Length (Default: 40) → Defines the SMA calculation period.
- Standard Deviation Length (Default: 50) → Controls the volatility filter strength.
- SD Multiplier (Default: 0-7) → Adjusts the sensitivity of the momentum filter.
- Long Threshold (Default: 83) → Above this level, momentum is bullish.
- Short Threshold (Default: 60) → Below this level, momentum weakens.
- Visual Customizations → Multiple color themes, extra plots, and trend labels available.
🚀 By default, BMD is optimized for trend-following and momentum filtering while remaining adaptable to various trading strategies.
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📌 How to Use Bollinger Momentum Deviation (BMD) in Trading
1️⃣ Trend-Following Strategy (Momentum Confirmation)
✔ Enter long positions when BMD crosses above the long threshold (83), confirming upward momentum.
✔ Enter short positions when BMD crosses below the short threshold (60), confirming downward momentum.
✔ Stay in trades as long as BMD remains in trend direction, filtering out noise.
2️⃣ Mean Reversion Strategy (Overbought/Oversold Conditions)
✔ Take profits or hedge when BMD crosses above 130 (overbought).
✔ Re-accumulate positions when BMD drops below -10 (oversold).
📌 Why?
- In trending markets, follow BMD’s momentum confirmation.
- In ranging markets, use BMD’s normalized bands to buy at deep discounts and sell into strength.
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📌 Conclusion
Bollinger Momentum Deviation (BMD) is a versatile momentum indicator that combines trend-following mechanics with volatility-adjusted mean reversion zones. By normalizing SMA-based momentum shifts, BMD ensures robust signal reliability across different assets and timeframes.
🔹 Key Takeaways:
1️⃣ Momentum Confirmation & Trend Detection – Captures directional strength with dynamic filtering.
2️⃣ Overbought/Oversold Conditions – Identifies reversal opportunities in sideways markets.
3️⃣ Adaptive & Customizable – Works across different timeframes and trading styles.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Relative Vigor Index (RVI) with EMD [AIBitcoinTrend]👽 Adaptive Relative Vigor Index with EMD & Signals (AIBitcoinTrend)
The Adaptive Relative Vigor Index (RVI) with Empirical Mode Decomposition (EMD) is an enhanced version of the traditional RVI, designed to improve signal clarity and responsiveness to market conditions. By integrating EMD smoothing and adaptive volatility-based trailing stops.
👽 What Makes the Adaptive RVI with EMD Unique?
Unlike the standard RVI, which often lags in volatile markets, this version refines price momentum detection by applying Empirical Mode Decomposition (EMD), effectively filtering out noise. Additionally, it features ATR-based trailing stops for precise trade execution.
Key Features:
EMD-Enhanced RVI – Filters out short-term noise, improving signal accuracy.
Crossover & Crossunder Signals – Generates trade signals based on RVI trends.
ATR-Based Trailing Stop – Adjusts dynamically based on volatility for optimal risk management.
👽 The Math Behind the Indicator
👾 RVI Calculation with EMD Smoothing
The Relative Vigor Index (RVI) measures trend strength by comparing the relationship between closing and opening prices, relative to the high-low range. Traditional RVI uses fixed smoothing, whereas this version applies Empirical Mode Decomposition (EMD) to extract dominant price cycles and improve trend clarity.
How It Works:
The RVI is initially calculated using a weighted moving average (WMA) over a specified period.
EMD refines the RVI signal by removing high-frequency noise, creating a smoothed RVI component.
This results in a more stable and reliable trend indicator.
👽 How Traders Can Use This Indicator
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ RVI crosses above EMD → Buy signal.
✅ A bullish trailing stop is placed at low - ATR × Multiplier.
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ RVI crosses below EMD → Sell signal.
✅ A bearish trailing stop is placed at high + ATR × Multiplier.
✅ Exit if price crosses above the stop.
👾 Detecting Overbought & Oversold Areas
This indicator helps traders identify potential reversal zones by highlighting overbought and oversold conditions.
Overbought Zone: When RVI moves above 0.4, the market may be overextended, signaling a potential reversal downward.
Oversold Zone: When RVI moves below -0.4, the market may be undervalued, suggesting a possible upward reversal.
Using these levels, traders can confirm entry and exit points alongside divergence signals for higher probability trades.
👽 Why It’s Useful for Traders
EMD-Based Signal Enhancement: Filters out noise, refining momentum signals.
Adaptive ATR-Based Risk Management: Automatically adjusts stop-loss levels to market conditions.
Works Across Multiple Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
RVI Length – Defines the period for calculating the Relative Vigor Index.
EMD Period – Controls the level of EMD smoothing applied.
Final Smoothing – Adjusts the degree of additional signal filtering.
Lookback Period – Determines how many bars are used for detecting pivot points.
Enable Trailing Stop – Activates dynamic ATR-based trailing stops.
ATR Multiplier – Adjusts the stop-loss sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Pure CocaPure Coca - Trend & Mean Reversion Indicator
Overview
The Pure Coca indicator is a trend and mean reversion analysis tool designed for identifying dynamic shifts in market behavior. By leveraging Z-score calculations, this indicator captures both trend-following and mean-reverting periods, making it useful for a wide range of trading strategies.
What It Does
📉 Detects Overbought & Oversold Conditions using a Z-score framework.
🎯 Identifies Trend vs. Mean Reversion Phases by analyzing the deviation of price from its historical average.
📊 Customizable Moving Averages (EMA, SMA, VWMA, etc.) for smoothing Z-score calculations.
🔄 Adaptable to Any Timeframe – Default settings are optimized for 2D charts but can be adjusted to suit different market conditions.
How It Works
Computes a Z-score of price movements, normalized over a lookback period.
Plots upper and lower boundaries to visualize extreme price movements.
Dynamic Midlines adjust entry and exit conditions based on market shifts.
Background & Bar Coloring help traders quickly identify trading opportunities.
Key Features & Inputs
✔ Lookback Period: Adjustable period for calculating Z-score.
✔ Custom MA Smoothing: Choose from EMA, SMA, WMA, VWAP, and more.
✔ Z-Score Thresholds: Set upper and lower bounds to define overbought/oversold conditions.
✔ Trend vs. Mean Reversion Mode: Enables traders to spot momentum shifts in real-time.
✔ Bar Coloring & Background Highlights: Enhances visual clarity for decision-making.
How to Use It
Trend Trading: Enter when the Z-score crosses key levels (upper/lower boundary).
Mean Reversion: Look for reversals when price returns to the midline.
Custom Optimization: Adjust lookback periods and MA types based on market conditions.
Why It's Unique
✅ Combines Trend & Mean Reversion Analysis in one indicator.
✅ Flexible Z-score settings & MA choices for enhanced adaptability.
✅ Clear visual representation of market extremes.
Final Notes
This indicator is best suited for discretionary traders, quantitative analysts, and systematic traders looking for data-driven market insights. As with any trading tool, use in conjunction with other analysis methods for optimal results.
