Simple Portfolio System | QuantumResearchStatic Allocation Engine for Smarter Crypto Exposure
The Simple Portfolio System (SPS) by QuantumResearch is a lightweight yet powerful asset allocation framework, designed for investors who want a smarter, more disciplined alternative to passive buy-and-hold. SPS allocates capital across four customizable assets — BTC, ETH, SOL, and SUI — using a volatility-adjusted momentum engine powered by the proprietary AVWO indicator.
🔍 Key Features:
✅ Adaptive Allocation Logic
Every day, the system evaluates trend strength using the AVWO oscillator. Each asset showing a bullish signal receives a fixed 25% portfolio allocation.
📉 Dynamic Cash Protection
If no asset is trending, SPS automatically shifts to 100% cash, minimizing exposure during sideways or bearish market phases.
📈 Equity Curve Overlay
Compare the strategy's performance against traditional Buy & Hold — both equity curves are plotted for clear benchmarking.
🧠 Proprietary Signal Engine
Powered by AVWO, a custom volatility-weighted oscillator developed by QuantumResearch, designed to filter noise and highlight adaptive trend signals.
📋 Live Performance Dashboard
Real-time metrics include:
Sharpe Ratio
Sortino Ratio
Omega Ratio
Max Drawdown (%)
Current Asset Allocations & Weights
⚙️ System Logic Overview:
Up to four assets analyzed: BTC, ETH, SOL, SUI
If one or more assets are detected as trending, each receives 25% allocation
If none are trending, capital remains unallocated (cash)
Allocation signals are recalculated daily
Backtest begins: 03 May 2023
📌 Use Case:
This system is ideal for:
-Investors seeking to avoid overexposure during weak or range-bound markets
-Traders who want to capture clear trend opportunities
-Portfolio builders looking to benchmark adaptive exposure vs. passive HODL strategies
Built by QuantumResearch — engineered for simplicity, clarity, and tactical trend participation.
⚠️ Important Disclaimer:
Past performance is not indicative of future results. All trading strategies carry risk.
This tool is provided for educational and research purposes only.
Not financial advice. Always conduct your own analysis and consult with a financial advisor before making investment decisions.
M-oscillator
Super Stoch ScalperTheoretically, the higher the number, the stronger the signal.
However, in this mixed up world, the 1 and 2 seems stronger than the 4 at times. That's why I'm still working at McDonald's.
Number over candle = Short.
Number under candle = Long.
Best used for scalping.
God help you with your exits.
Market Sentiment Index US Top 40 [Pt]▮Overview
Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish.
This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment.
▮Key Features
► Three Simple Modes
High Low Index: counts stocks making new highs or lows over your lookback period
Above Below MA: flags stocks trading above or below their moving average
RSI Sentiment: marks overbought or oversold stocks and plots a small histogram
► Universe Selection
Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ
Option to weight by market cap or treat all symbols equally
► Timeframe Choice
Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution
► Histogram Smoothing
Two optional moving averages on the sentiment bars
Markers show when the faster average crosses above or below the slower one
► Ticker Table
Optional on-chart table showing each ticker’s state in color
Grid or single-row layout with adjustable text size and color settings
▮Inputs
► Mode and Lookback
Pick High Low, Above Below MA, or RSI Sentiment
Set lookback length (for example 10 bars)
If using Above Below MA, choose the moving average type (EMA, SMA, etc.)
► Universe Setup
Market: NYSE or NASDAQ
Number of symbols: 10, 20, 30, or 40
Weights: on or off
Timeframe: blank to match chart or pick any other
► Moving Averages on Histogram
Enable fast and slow averages
Set their lengths and types
Choose colors for averages and markers
► Table Options
Show or hide the symbol table
Select text size: tiny, small, or normal
Choose layout: grid or one-row
Pick colors for bullish, neutral, and bearish cells
Show or hide exchange prefixes
▮How to Read It
► Sentiment Bars
Green means bullish
Red means bearish
Near zero means neutral
► Zero Line
Separates bullish from bearish readings
► High Low Line (High Low mode only)
Smooth ratio of highs versus lows over your lookback
► MA Crosses
Fast MA above slow MA hints rising breadth
Fast MA below slow MA hints falling breadth
► Ticker Table
Each cell colored green, gray, or red for bull, neutral, or bear
▮Use Cases
► Confirm Market Trends
Early warning when price makes highs but breadth is weak
Catch rallies when breadth turns strong while price is flat
► Spot Sector Rotation
Switch between NYSE and NASDAQ to see which group leads
Watch tech versus industrial breadth to track money flow
► Filter Trade Signals
Enter longs only when breadth is bullish
Consider shorts when breadth turns negative
► Combine with Other Indicators
Use RSI Sentiment with trend tools to spot overextended moves
Add volume indicators in High Low mode for breakout confirmation
► Timeframe Analysis
Daily for big-picture bias
Intraday (15-min) for precise entries and exits
ADX Full [Titans_Invest]ADX Full
This is, without a doubt, the most complete ADX indicator available on TradingView — and quite possibly the most advanced in the world. We took the classic ADX structure and fully optimized it, preserving its essence while elevating its functionality to a whole new level. Every aspect has been enhanced — from internal logic to full visual customization. Now you can see exactly what’s happening inside the indicator in real time, with tags, flags, and informative levels. This indicator includes over 22 long entry conditions and 22 short entry conditions , covering absolutely every possibility the ADX can offer. Everything is transparent, adjustable, and ready to fit seamlessly into any professional trading strategy. This isn’t just another ADX — it’s the definitive ADX, built for traders who take the market seriously.
⯁ WHAT IS THE ADX❓
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down.
The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength.
⯁ HOW TO USE THE ADX❓
The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones:
Strong Trend: When the ADX is above 25, indicating a strong trend.
Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend.
Neutral Zone: Between 20 and 25, where the trend strength is unclear.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 +DI > -DI
🔹 +DI < -DI
🔹 +DI > ADX
🔹 +DI < ADX
🔹 -DI > ADX
🔹 -DI < ADX
🔹 ADX > Threshold
🔹 ADX < Threshold
🔹 +DI > Threshold
🔹 +DI < Threshold
🔹 -DI > Threshold
🔹 -DI < Threshold
🔹 +DI (Crossover) -DI
🔹 +DI (Crossunder) -DI
🔹 +DI (Crossover) ADX
🔹 +DI (Crossunder) ADX
🔹 +DI (Crossover) Threshold
🔹 +DI (Crossunder) Threshold
🔹 -DI (Crossover) ADX
🔹 -DI (Crossunder) ADX
🔹 -DI (Crossover) Threshold
🔹 -DI (Crossunder) Threshold
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 +DI > -DI
🔸 +DI < -DI
🔸 +DI > ADX
🔸 +DI < ADX
🔸 -DI > ADX
🔸 -DI < ADX
🔸 ADX > Threshold
🔸 ADX < Threshold
🔸 +DI > Threshold
🔸 +DI < Threshold
🔸 -DI > Threshold
🔸 -DI < Threshold
🔸 +DI (Crossover) -DI
🔸 +DI (Crossunder) -DI
🔸 +DI (Crossover) ADX
🔸 +DI (Crossunder) ADX
🔸 +DI (Crossover) Threshold
🔸 +DI (Crossunder) Threshold
🔸 -DI (Crossover) ADX
🔸 -DI (Crossunder) ADX
🔸 -DI (Crossover) Threshold
🔸 -DI (Crossunder) Threshold
______________________________________________________
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : ADX Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Trend Oscillator# Trend Oscillator: Advanced Technical Analysis Indicator
## Overview
The Trend Oscillator is a sophisticated technical analysis tool designed to identify market trends, momentum shifts, and potential reversal points. Unlike basic oscillators, this indicator combines key analytical approaches to provide a more comprehensive market analysis:
1. **Mean Deviation-Based Oscillator**:(160) At its core, it measures price deviations from moving averages normalized by mean deviation
2. **Fixed Reference Levels**: Clear overbought/oversold thresholds that define extreme market conditions
3. **Trend Filtering**: EMA(36)-based trend direction confirmation to reduce false signals
## Technical Foundation
### Core Calculation Method
The indicator derives its primary oscillator value using a normalized deviation method:
- Calculates a typical price (average of source + high + low)
- Measures the deviation of typical price from its moving average
- Normalizes this deviation by the mean deviation multiplied by a scaling factor (0.015)
This formula effectively creates a momentum oscillator that quantifies how far price has moved from its equilibrium value, relative to typical market volatility.
### Fixed Overbought/Oversold Levels
The Trend Oscillator uses consistent reference levels to identify extreme market conditions:
- Standardized overbought level set at +100
- Standardized oversold level set at -100
- Neutral zone centered around the zero line
These fixed thresholds provide reliable reference points for signal generation and trend strength assessment.
### Trend Filtering Mechanism
The indicator incorporates an EMA-based trend filter that:
- Calculates a directional bias using price position relative to its EMA 36
- Modifies oscillator interpretation based on the prevailing trend
- Helps distinguish between counter-trend corrections and actual reversals
## How to Use the Trend Oscillator
### For Trend Identification
- **Bullish trend**: Oscillator above zero with positive slope
- **Bearish trend**: Oscillator below zero with negative slope
- **Trend strength**: Distance from zero line indicates trend intensity
- **Trend confirmation**: When oscillator and trend filter align
### For Entry Signals
- **Long entry opportunities**:
- Oscillator crossing above the signal line during uptrend
- Oscillator exiting oversold territory with trend filter positive
- Price showing strength while oscillator moves from negative to positive
- **Short entry opportunities**:
- Oscillator crossing below the signal line during downtrend
- Oscillator exiting overbought territory with trend filter negative
- Price showing weakness while oscillator moves from positive to negative
### For Exit Signals
- **Taking profits**: When oscillator approaches extreme levels in your trade direction
- **Stop-loss placement**: When oscillator crosses signal line against your position
- **Trend change warning**: When oscillator crosses zero line against your position
## Customization Options
### General Settings
- **Length**: (160)Controls the calculation period for the oscillator (higher values create smoother, less sensitive readings)
- **Source**: The price data input (close, open, high, low, hl2, hlc3, etc.)
### Signal Line Settings
- **Signal Line**: Optional smoothed version of the oscillator for crossover signals
- **Signal Length**:(36) Determines signal line responsiveness
### Level Settings
- **Overbought/Oversold Levels**: Standard thresholds that define extreme conditions
### Trend Filter Settings
- **Trend Period**: Lookback period for trend direction calculation
- **Trend Source**: Price data used for trend determination
### Visual Settings
- **Show Background Color**: Toggles colored background based on oscillator readings
- **Background Transparency**: Controls the opacity of background coloring
## Trading Strategy Applications
### Trend-Following Approach
1. Enter in the direction of the prevailing trend when:
- Oscillator and trend filter align
- Oscillator crosses signal line in trend direction
- Price pulls back to neutral zone during strong trend
2. Exit when:
- Oscillator crosses signal line against position
- Trend filter changes direction
- Oscillator reaches extreme level in your trade direction
### Counter-Trend Approach
1. Look for reversal opportunities when:
- Oscillator reaches extreme overbought/oversold levels
- Signal line crossover occurs at extreme readings
- Price action confirms potential reversal
2. Exit when:
- Target price levels are reached
- Oscillator returns to neutral zone
- New signals emerge in opposite direction
## Indicator Strengths
- Combines momentum and trend analysis in one comprehensive tool
- Consistent reference levels provide reliable benchmarks
- Reduces false signals through trend filter confirmation
- Visual color-coding provides intuitive market context
## Best Practices
- Effective on all timeframes for trend analysis
- Use in conjunction with support/resistance or price action
- Start with default settings and gradually adjust to your trading style and instrument
- Consider the overall market context when interpreting signals
The Trend Oscillator offers traders a comprehensive technical analysis framework that goes beyond simplistic overbought/oversold readings by incorporating trend context and normalized deviation methodology—providing a nuanced approach to market analysis with clear, consistent reference points.
Precision Trend Shot | JeffreyTimmermansPrecision Trend Shot
The "Precision Trend Shot" Indicator is an advanced technical tool designed to provide a dynamic and adaptive view of market trends. By combining three core components—RSI Oscillator, LSMA ATR, and Adaptable Trend—this indicator delivers precise signals that help traders identify market direction, volatility, and potential trend reversals. The calculated total score, derived from these components, provides a clear, actionable view of market conditions.
Key Features
Multi-Component Analysis: Integrates three key indicators (RSI, LSMA ATR, and Adaptable Trend) for a comprehensive view of market trends.
Dynamic Trend Classification: Categorizes market states as "Bullish" or "Bearish", based on a combined score.
Standard Deviation Bands: Displays standard deviation bands around the score line for enhanced volatility visualization.
Gradient Background Coloring: Visually highlights market phases with gradient colors, aiding quick interpretation.
Customizable Visuals: Offers extensive settings for coloring, background gradients, and signal visibility.
Real-Time Alerts: Generates alerts for significant trend changes or transitions between market states.
Inputs & Settings
RSI Settings:
RSI Source: Default: Close price. Defines the data source for RSI calculation.
RSI Length: Default: 10. Sets the period for calculating RSI.
LSMA ATR Settings:
LSMA Source: Default: Close price. Defines the data source for LSMA calculation.
LSMA Length: Default: 21. Sets the period for calculating the Least Squares Moving Average.
ATR Length: Default: 12. Sets the period for calculating the Average True Range.
Adaptable Trend Settings:
Trend Length: Default: 5. Sets the period for calculating the trend.
Smoothing Length: Default: 5. Controls the smoothing of trend volatility.
Sensitivity: Default: 1.5. Adjusts the sensitivity of trend bands.
Standard Deviation Settings:
Enable Standard Deviation Bands: Default: True. Toggles the display of standard deviation bands.
Standard Deviation Length: Default: 20. Sets the period for standard deviation calculation.
Standard Deviation Multiplier: Default: 2.0. Adjusts the width of the bands.
Smoothing Length: Default: 5. Controls the smoothing of standard deviation bands.
Visual Settings:
Enable Candle Coloring: Default: True. Colors candles based on market state (Bullish or Bearish).
Enable Background Gradient: Default: True. Applies gradient coloring to the background based on trend direction.
Score Line Colors: Customize colors for bullish or bearish score lines.
Calculation Process
RSI Calculation:
Computes the Relative Strength Index (RSI) of the selected source data.
Signals bullish (RSI > 50) or bearish (RSI < 50) conditions.
LSMA ATR Calculation:
Computes LSMA for trend direction and ATR for volatility measurement.
Generates buy and sell signals based on crossover and crossunder of ATR bands.
Adaptable Trend Calculation:
Calculates dynamic trend levels using EMA and standard deviation bands.
Classifies trend states as Bullish or Bearish.
Combined Signal Calculation:
Averages the signals from RSI, LSMA ATR, and Adaptable Trend to generate a total score.
Classifies the market as "Bullish" or "Bearish" based on this score.
Standard Deviation Bands:
Plots standard deviation bands around the combined signal for enhanced volatility analysis.
Gradient Background Coloring:
Colors the chart background based on the identified market state (Bullish or Bearish).
How to Use the Precision Trend Shot Indicator
Identifying Market States:
Bullish Market: Total score > 0, gradient background green.
Bearish Market: Total score < 0, gradient background red.
Confirming Signals:
Use RSI and LSMA ATR signals for early indications.
Use Trend Recon for confirming longer-term trend direction.
Visualizing Volatility:
Standard deviation bands highlight potential reversal zones.
Dynamic Alerts
The Precision Trend Shot Indicator includes a robust alert system for real-time market transitions:
Bullish to Bearish: Market shifts from a bullish to bearish trend.
Bearish to Bullish: Market shifts from a bearish to bullish trend.
Conclusion
The Precision Trend Shot Indicator is an advanced, versatile tool for identifying market trends, visualizing volatility, and generating actionable signals. With customizable settings, dynamic alerts, and clear visual representation, it is an essential addition to any trader’s toolkit.
-Jeffrey
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
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Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
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The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
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The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
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How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
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How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
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Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
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TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
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How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
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As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
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Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals
Description:
Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime:
Trend Filter: 200-period exponential moving average
Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line
Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar
Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar
Key Features:
Minimalist display: only the 200 EMA and entry arrows
Customizable inputs: EMA length, RSI length, RSI smoothing period
Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures)
Yellow label text: for optimal visibility on dark or light chart backgrounds
How to Use:
Add the script to your TradingView chart.
Choose your timeframe and adjust inputs as needed.
Take only the long signals when price is above the EMA, and only the short signals when price is below.
Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples.
Notes:
Designed as a regime-based entry filter—no exits or background fills included.
Feel free to combine with your own stop-loss, take-profit, and money-management rules.
Trade smarter, not harder—let the market tell you only when both trend and momentum align.
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days.
The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria:
Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1
Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1
Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1.
Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1.
MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1.
William's R% : If the current William's R% is greater than the previous one, then +1, else -1.
William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1.
Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1.
Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1.
Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1.
Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum.
By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores).
Additional Features
Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist.
Suggested Use
It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you.
Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
ADX Forecast [Titans_Invest]ADX Forecast
This isn’t just another ADX indicator — it’s the most powerful and complete ADX tool ever created, and without question the best ADX indicator on TradingView, possibly even the best in the world.
ADX Forecast represents a revolutionary leap in trend strength analysis, blending the timeless principles of the classic ADX with cutting-edge predictive modeling. For the first time on TradingView, you can anticipate future ADX movements using scientifically validated linear regression — a true game-changer for traders looking to stay ahead of trend shifts.
1. Real-Time ADX Forecasting
By applying least squares linear regression, ADX Forecast projects the future trajectory of the ADX with exceptional accuracy. This forecasting power enables traders to anticipate changes in trend strength before they fully unfold — a vital edge in fast-moving markets.
2. Unmatched Customization & Precision
With 26 long entry conditions and 26 short entry conditions, this indicator accounts for every possible ADX scenario. Every parameter is fully customizable, making it adaptable to any trading strategy — from scalping to swing trading to long-term investing.
3. Transparency & Advanced Visualization
Visualize internal ADX dynamics in real time with interactive tags, smart flags, and fully adjustable threshold levels. Every signal is transparent, logic-based, and engineered to fit seamlessly into professional-grade trading systems.
4. Scientific Foundation, Elite Execution
Grounded in statistical precision and machine learning principles, ADX Forecast upgrades the classic ADX from a reactive lagging tool into a forward-looking trend prediction engine. This isn’t just an indicator — it’s a scientific evolution in trend analysis.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the ADX, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an ADX time series like this:
Time →
ADX →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted ADX, which can be crossed with the actual ADX to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public ADX with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining ADX with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
ADX Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
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🥇 This is the world’s first ADX indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
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⯁ WHAT IS THE ADX❓
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down.
The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength.
⯁ HOW TO USE THE ADX❓
The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones:
• Strong Trend: When the ADX is above 25, indicating a strong trend.
• Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend.
• Neutral Zone: Between 20 and 25, where the trend strength is unclear.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 +DI > -DI
🔹 +DI < -DI
🔹 +DI > ADX
🔹 +DI < ADX
🔹 -DI > ADX
🔹 -DI < ADX
🔹 ADX > Threshold
🔹 ADX < Threshold
🔹 +DI > Threshold
🔹 +DI < Threshold
🔹 -DI > Threshold
🔹 -DI < Threshold
🔹 +DI (Crossover) -DI
🔹 +DI (Crossunder) -DI
🔹 +DI (Crossover) ADX
🔹 +DI (Crossunder) ADX
🔹 +DI (Crossover) Threshold
🔹 +DI (Crossunder) Threshold
🔹 -DI (Crossover) ADX
🔹 -DI (Crossunder) ADX
🔹 -DI (Crossover) Threshold
🔹 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 +DI > -DI
🔸 +DI < -DI
🔸 +DI > ADX
🔸 +DI < ADX
🔸 -DI > ADX
🔸 -DI < ADX
🔸 ADX > Threshold
🔸 ADX < Threshold
🔸 +DI > Threshold
🔸 +DI < Threshold
🔸 -DI > Threshold
🔸 -DI < Threshold
🔸 +DI (Crossover) -DI
🔸 +DI (Crossunder) -DI
🔸 +DI (Crossover) ADX
🔸 +DI (Crossunder) ADX
🔸 +DI (Crossover) Threshold
🔸 +DI (Crossunder) Threshold
🔸 -DI (Crossover) ADX
🔸 -DI (Crossunder) ADX
🔸 -DI (Crossover) Threshold
🔸 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : ADX Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
WaveFunction MACD (TechnoBlooms)WaveFunction MACD — The Next Generation of Market Momentum
WaveFunction MACD is an advanced hybrid momentum indicator that merges:
• The classical MACD crossover logic (based on moving averages)
• Wave physics (modeled through phase energy and cosine functions)
• Hilbert Transform theory from signal processing
• The concept of a wavefunction from quantum mechanics, where price action is seen as a probabilistic energy wave—not just a trend.
✨ Key Features of WaveFunction MACD
• Wave Energy Logic : Instead of using just price and MA differences, this indicator computes phase-corrected momentum using the cosine of the wave phase angle — revealing the true energy behind market moves.
• Phase-Based Trend Detection : It reads cycle phases using Hilbert Transform-like logic, allowing you to spot momentum before it becomes visible in price.
• Ultra-Smooth Flow : The main line and histogram are built to follow price flow smoothly — eliminating much of the noise found in traditional MACD indicators.
• Signal Amplification via Energy Histogram : The histogram doesn’t just show momentum changes — it shows the intensity of wave energy, allowing you to confirm the strength of the trend.
• Physics-Driven Structure : The algorithm is rooted in real-world wave mechanics, bringing a scientific edge to trading — ideal for traders who believe in natural models like cycles and harmonics.
• Trend Confirmation & Early Reversals : It can confirm strong trends and also catch subtle shifts that often precede big reversals — giving you both reliability and anticipation.
• Ready for Fusion : Designed to work seamlessly with liquidity zones, price action, order blocks, and structure trading — a perfect fit for modern trading systems.
🧪 The Science Behind It
This tool blends:
• Hilbert Transform: Measures the phase of a waveform (price cycle) to detect turning points
• Cosine Phase Energy: Calculates true wave energy using the cosine of the phase angle, revealing the strength behind price movements
• Quantum Modeling: Views price like a wavefunction, offering predictive insight based on phase dynamics
Precision Stochastic DivergenceThis indicator is designed to identify potential market turning points and continuations by detecting Regular and Hidden divergences between closing price action and the Stochastic momentum oscillator. It utilizes specific default parameters (Stochastic: 40,4,3; Pivot Lookback: 5,5 based on close) and incorporates specialized filtering logic for signal qualification.
Core Functionality & Features:
Divergence Detection: Identifies standard Regular (potential reversal) and Hidden (potential continuation) divergence patterns. Logic has been optimized for accurate detection of both types.
Precision Filter Mechanism (Regular Divergences): Employs a unique dual-level validation process:
Requires the initial pivot's Stochastic value (%D) to meet Overbought (>80) or Oversold (<20) criteria.
Requires the subsequent pivot's Stochastic value (%D) to reside within a precisely defined range (Default parameterization: Bullish 19-30, Bearish 70-81). This aims to filter divergences based on specific momentum conditions following an initial extreme reading.
Standard Filter (Hidden Divergences): Filters Hidden Divergence signals by requiring both associated Stochastic pivot values to remain outside the primary Overbought/Oversold zones (i.e., >20 for Bullish, <80 for Bearish).
Signal Plotting: Displays 'R' (Regular) and 'H' (Hidden) markers on the chart upon confirmation of filtered divergence conditions. Relevant Stochastic threshold levels and filter range boundaries are plotted for visual reference.
Configuration & Usage Notes:
Parameterization: The default settings (Stochastic: 40,4,3; Pivots: 5,5; Levels: 80/20; Ranges: 19-30 / 70-81) have been specifically calibrated. For optimal performance according to the intended methodology, modification of these core parameters is strongly discouraged.
EMA Filter: Note that EMA trend filtering functionality has been intentionally removed from this version of the indicator.
Applicable Timeframes: While adaptable, performance consistency has been observed on the Hourly (1H) timeframe. Lower intervals such as 6m and 10m are considered optimal secondary timeframes, with 5m and 15m also demonstrating viability depending on market conditions.
Instrument Applicability & Validation:
!!!WARNING FOR GOLD TRADERS!!!
Low time frame spot gold (xauusd) mysteriously proves to give more incorrect signals than every other asset I have tested although higher timeframes like hourlies still signal as intended. The reason MAY be because of not enough testing.
The underlying principle of Stochastic divergence is applicable to various instruments, including Cryptocurrencies (Bitcoin, Ethereum) and Major Indices (SP500, NASDAQ, etc.).
However, the efficiency of this indicator's specific parameterization is contingent upon the volatility profile and price dynamics of the selected instrument.
Mandatory Validation: Rigorous backtesting and/or simulated trading on the specific instrument and timeframe is imperative prior to live deployment. This validation is crucial to ascertain performance characteristics and confirm alignment with individual trading plans and risk management protocols.
By Matthew James
Disclaimer:
Trading involves substantial risk. This indicator serves as an analytical tool and does not constitute financial advice or a guarantee of future results. Users assume full responsibility for their trading decisions. Always employ robust risk management practices.
Stochastics + VixFix Buy/Sell SignalsThis script is designed for long-term investors using ETFs on a weekly timeframe, where catching high-probability bottoms is the goal. It combines the Stochastic Oscillator with the Williams VixFix to identify moments of extreme fear and potential reversals.
A Buy signal is triggered when:
Stochastic %K drops below 20
VixFix forms a green spike (suggesting a panic-driven market flush)
A Sell signal is triggered when:
Stochastic %K rises above 90
VixFix falls below 5 (indicating excessive complacency)
Catching tops is much harder than catching bottoms.
These Sell signals are not designed to fully exit positions. Instead, they suggest trimming a small portion of ETF holdings — simply to free up liquidity for future opportunities.
This strategy is ideal for:
Long-term ETF investors
Weekly charts
Systematic decision-making in volatile markets
Use in conjunction with macro indicators, sector rotation, and valuation frameworks for best results.
DEMA HMA Z-score OscillatorThis custom oscillator combines the power of the Hull Moving Average (HMA) with the Z-Score to identify momentum shifts and potential trend reversals. The Z-Score measures how far the current HMA is from its historical mean, helping to spot overbought or oversold conditions.
Uptrend: Long signals are generated when the Z-Score crosses above the defined Long Threshold.
Downtrend: Short signals are triggered when the Z-Score drops below the Short Threshold.
Visuals: The Z-Score is plotted along with background color changes and fills to clearly indicate trend strength. Green fills highlight uptrends, while pink fills indicate downtrends.
Alerts: Alerts are available for both long and short conditions based on Z-Score crossovers.
Customizable Inputs:
HMA Length
Smoothing Length (for DEMA)
Z-Score Length
Long and Short Thresholds
This indicator is ideal for detecting momentum shifts, confirming trend strength, and helping to time entry/exit points in your trading strategy.
Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability.
1. Sine-Fit Deviation Model:
This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It generates a synthetic sine wave using a user-defined period and compares it to actual price movement over an adaptive window. The error between the real price and this synthetic wave—normalized by price variance—forms the Sine-Based Manipulation Index. A high error indicates deviation from natural rhythm, suggesting structural disorder.
2. Predictability-Based Model:
The second component estimates how well current price can be predicted using recent price lags. A two-variable rolling linear regression is computed between the current price and two lagged inputs (close and close ). If the predicted price diverges from the actual price, this error—also normalized by price variance—reflects unpredictability. High prediction error implies a more manipulated or erratic environment.
3. Adaptive Mechanism:
Both components are calculated using an adaptive smoothing window based on the Average True Range (ATR). This allows the indicator to respond proportionally to market volatility. During high volatility, the analysis window expands to avoid over-sensitivity; during calm periods, it contracts for better responsiveness.
4. Composite Output:
The two normalized metrics are averaged to form the final CMI value, which is then optionally smoothed further. The output is scaled between 0 and 1:
0 indicates a highly structured, orderly market.
1 indicates complete structural breakdown or randomness.
Suggested Interpretation:
CMI < 0.3: Market is clean and structured. Trend-following or breakout strategies may perform better.
CMI > 0.7: Market is structurally unstable. Choppy price action, fakeouts, or manipulative behavior may dominate.
CMI 0.3–0.7: Transitional zone. Caution or reduced risk may be warranted.
This indicator is designed to serve as a contextual filter, helping traders assess whether current market conditions are conducive to structured strategies, or if discretion and defense are more appropriate.
VWAP Momentum and Volatility IndicatorVWAP Momentum and Volatility Indicator
Merges VWAP trend, momentum oscillators (RSI & Stochastic), volatility measures (ATR & Bollinger Bands) and an optional volume filter into one overlay to generate more reliable buy/sell signals.
1) Components & Rationale
VWAP (Session/Day/Week/Month): Shows the volume-weighted average price trend with selectable reset periods.
VWAP ±1/±2/±3 StdDev Bands: Highlight volatility expansions or contractions—price moves outside these bands can signal breakouts or reversals.
RSI (14): Confirms overbought (>70) and oversold (<30) momentum, reducing false entries.
Stochastic (14, SlowK=3, SlowD=3): Captures momentum shifts; used alongside RSI for stronger confirmation.
ATR (14): Measures absolute price movement to aid in risk sizing and contextualizing band widths.
Bollinger Bands (20, 2σ): Identifies “squeeze” (low volatility) and “expansion” phases.
Volume Filter (optional): Ensures signals are backed by above-average volume.
2) Default Settings
VWAP Reset: Session
StdDev Multiplier: 2.0
VWAP Lookback: 20 bars
RSI: 14 period, Overbought = 70, Oversold = 30
Stochastic: 14 period, SlowK = 3, SlowD = 3
ATR: 14 period
Bollinger Bands: 20 period, Multiplier = 2
Volume Filter: 10-bar SMA threshold at 1.5× average
Visuals: VWAP bands, signal markers, and info table enabled; table positioned top-right at small size.
3) How to Use
Add to chart: Select “VWAP Momentum and Volatility Indicator.”
Adjust inputs: Set reset period, band multiplier, momentum thresholds and volume filter to match your asset and timeframe.
Buy signal: Price crosses above VWAP + (RSI < 50 or Stochastic in oversold) + volume filter pass.
Sell signal: Price crosses below VWAP + (RSI > 50 or Stochastic in overbought) + volume filter pass.
Info table: Review VWAP status, distance (%), band region, RSI, Stochastic, ATR%, Bollinger width, squeeze/expansion, relative volume, and the most recent signal.
4) Warnings & Disclaimer
This indicator is provided for educational purposes only. Always backtest with real funding and volume data, apply your own risk management, and recognize that past performance does not guarantee future results. Use the settings and signals as part of a broader trading plan.
Funding Rate Signal TableDescription
Funding Rate Signal Table computes a rolling “funding rate” value (simulated here as (close–open)/close), smooths it, and presents both a compact on-chart table and clear LONG/SHORT entry signals. It helps you spot when funding dynamics may favor long or short positions and visualizes the last signal’s price level.
1. Why This Mashup?
Funding Rate Trend: A smoothed funding rate highlights shifts in trader funding costs—extremely negative rates can signal bullish opportunity, while very positive rates can warn of bearish pressure.
Difference Filter: Optional “difference” check prevents signals on noisy small changes, requiring a meaningful move before confirming.
Table & Labels: Side-by-side display of current funding rate, prior value, absolute change and text signal makes interpretation immediate. Simultaneous price-level lines reinforce real-time trade reference.
2. Default Parameters & Data Assumptions
Funding Calculation: (close – open) / close * 100, smoothed by a 14-period SMA plus 3-period SMA.
Thresholds:
LONG if funding_rate < –0.01%
SHORT if funding_rate > 0.01%
Optional “difference” threshold of 0.002 (0.2%)
Visuals:
Table positioned top-right with ticker, timeframe, funding values, difference, and signal.
Labels sized Normal by default, drawn just above/below price with optional price text.
Dashed horizontal lines extend 200 bars to mark last LONG/SHORT price.
Note: Because Pine Script cannot natively access actual exchange funding data, this example simulates funding rate. Replace the raw_funding_rate formula with your real funding-feed series for accurate signals.
3. How to Use
Add to Chart → Select “Rolin Long – Funding Rate & Sinyal Tablosu.”
Adjust Settings → Open the indicator’s Inputs:
Period & Smoothing for your instrument’s data frequency.
Thresholds based on historical funding ranges you observe.
Enable “Difference” filter to reduce false triggers.
Toggle Price Levels if you prefer lines marking entry prices.
Interpret Table →
“Funding Rate”: smoothed value for current bar.
“Previous Funding”: last bar’s value.
“Difference”: absolute change.
“Signal”: “LONG ▲ Şartları” or “SHORT ▼ Şartları” when thresholds are met.
Watch for Labels → On a new bar close, a singular LONG or SHORT label appears at the bar where the condition first became true.
Plan Entries/Exits → Use the price-level lines and your own risk rules to size and time trades.
4. Warnings & Disclaimer
This indicator is for educational purposes only. Simulated funding rate may differ from real exchange fees. Always verify with actual funding data, apply your own risk management, and adjust commissions/slippage to your trading environment. Past indicator signals do not guarantee future performance.
Professional Multi-Indicator SystemDescription
Professional Multi-Indicator System merges several proven technical indicators into a single overlay, allowing you to monitor trend, momentum, volatility, and key price levels all at once. Below you’ll find why these components work together, default parameters, backtest results, usage recommendations, and important disclaimers.
1. Mashup Justification & Components
MACD: Detects trend direction and momentum shifts via fast/slow crossover and histogram analysis.
RSI: Filters overbought/oversold conditions and confirms momentum using a 50-level threshold.
Bollinger Bands: Captures volatility squeezes and band touches to signal potential breakouts or pullbacks.
Fibonacci Retracement: Automatically (or manually) draws key support/resistance levels at 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%.
Combined Workflow:
Trend Confirmation (MACD + RSI)
Volatility Check (Bollinger Bands)
Level-Based Entries/Exits (Fibonacci)
This layered approach reduces false signals and increases overall reliability.
2. Default Settings
Account Size: $10,000 (example)
Commission: 0.1% per trade
Slippage: 0.05%
Test Instrument & Period: BTCUSDT 1H, Jan 1 2022 – Dec 31 2023
Risk per Trade: Maximum 5% of equity
Indicator Defaults:
MACD: 12 / 26 / 9 (optional confirmation)
RSI: 14 period, OB = 70, OS = 30 (optional confirmation)
Bollinger Bands: 20 period, ±2 σ (optional confirmation)
Fibonacci: 50 period, auto-trend detection on
Volume Filter: 20-period SMA, threshold = 1.5× average
Visuals: Modern labels, large icons, info table in top-right
3. Backtest Summary
Total Trades: 158
Win Rate: 58.2%
Average Risk/Reward: 1:1.6
Max Drawdown: 12.4%
Net Return: +24.7%
Note: Past performance does not guarantee future results. Adjust settings to your own instruments and timeframes.
4. How to Use
Add to Chart: Select “Professional Multi-Indicator System.”
Review Settings: Open Settings → Main, MACD, RSI, Bollinger, Volume, Fibonacci, Visuals.
Enable Confirmations: Turn on “confirmation” for each component to filter weak signals.
Wait for Strong Signal: Consider entries when signalStrength ≥ 3/5.
Manage Risk: Size positions ≤ 5% of your capital; factor in commission/slippage.
Exit Rules: Close on “Strong SELL” alert or your predefined stop-loss.
5. Warnings & Disclaimer
This indicator is for educational purposes only. Always apply your own analysis and risk management. Past performance is not indicative of future results. Update commission, slippage, and risk settings to match your trading environment.
[Pandora's Chambers] Apex-Flux NavigatorThe " Apex Flux Navigator FC" indicator, whose name alludes to the unveiling of hidden market forces, offers a rich visual representation of market pressure by combining volume-based pivot analysis with RSI, including a dynamic Fibonacci grid, balanced pressure lines, and highlighted boxes for quick readability. The term "Chambers" in its name refers to the way the indicator frames the balance of power between buyers and sellers within the space defined by two consecutive pivot lines, essentially creating visual chambers that encapsulate this ongoing struggle. The grid is built according to the 25%, 38.2%, 50%, 61.8%, and 75% levels, marking key support and resistance points. Crucially, this indicator allows you to spot pinpoint momentum divergences against volume, offering insights into potential trend reversals or continuations. The indicator also calculates cumulative buy/sell percentages since the formation of each pivot, displays an average Buy/Sell ratio for each point, uses a smart algorithm that analyzes the length of movement against speed, and draws backgrounds that outline liquidity zones based on Fibonacci ratios of volume and overbought/oversold areas (boxes) to clearly and legibly highlight buyer/seller pressure zones. Furthermore, the rapid identification of pressure zones and momentum shifts can assist in recognizing opportunities for quick scalping trades. Additionally, the width and spacing of the pressure lines visually represent the current market volatility and the difference in liquidity between buyers and sellers.
General Description
The indicator enables automatic identification of pivot points (highs and lows) based on buy/sell activity and TradingView RSI.
It draws vertical lines connecting the full pivot high to the full pivot low, creating a standard Fibonacci grid, and adds balanced pressure lines on the price sides with F--/F+/(F++) annotations corresponding to the degree of TradingView pressure.
How it Works
Pivot Identification – Uses ta.pivothigh and ta.pivotlow with the Pivot Sensitivity parameter to determine highs and lows.
Volume and RSI Collection – The f_addPivot function stores buy/sell volume according to the day's fluctuations and initial RSI; in each bar, the cumulative volume and RSI are updated to calculate a dynamic average.
Creation of Lines and Pressure Points – Calculates pressure percentages based on volume and displays them through dotted/solid lines and labels, including dynamic colors and backgrounds (boxes) for visual illustration using the TradingView “Pressure Lines” technique.
How to Interpret the Output
Dotted lines indicate Liquidity zones where the dominant side's volume is particularly strong and may mark areas that the price is drawn to in order to achieve equilibrium.
Labels with text (“B: xx% | RSI yy%”) display the buy/sell percentage and the average RSI since the pivot's creation together.
F--/F+/F++ annotations reflect a pressure quality scale using the f_getAnnotation function based on pressure percentages.
How to Use
Select “Add to chart” to attach the indicator to the chart.
Through the indicator's settings, you can change Pivot Sensitivity, Fibonacci Grid Length, RSI Period, and more.
Inputs and Settings
Pivot Sensitivity (default: 3)
Extend Pressure Lines (default: off)
RSI Period (default: 14)
Fibonacci Grid Length, Color, Offset
Colors and line styles for the reporting mode
Tips and Recommendations
Use a timeframe that reflects appropriate volatility (e.g., H4/D) to reduce noise; the shorter the timeframe, the more fluid the information the indicator presents.
To improve identification accuracy, combine with moving averages or additional Fibonacci tools.
Avoid automated trading based on the indicator alone – always require confirmation from an additional indicator.
Trade Smart – Let the Apex Flux Navigator FC guide you to significant market pressure levels!
RSI Run‑Length by ATTARSI Run‑Length by ATTA – The Next Generation of RSI
The RSI Run‑Length by ATTA indicator was developed to quantify not only the magnitude of price movements but also the continuity with which they occur. Instead of relying on point‑by‑point averages of gains and losses, it counts each sequence of consecutive gains (up‑run) and each sequence of consecutive losses (down‑run), applies Wilder’s RMA smoothing to these counts, and then computes the classic RSI formula on their ratio.
This approach significantly reduces market noise by giving greater weight to sustained trends, while simultaneously reducing the lag inherent in traditional methods. Rather than waiting for signals triggered by isolated fluctuations, RSI Run‑Length by ATTA detects turning points at the earliest stages of movement streaks and maintains precise, timely responsiveness.
Core Principles:
Run‑Length Counting: Measures trend depth without distortion from isolated spikes.
Wilder’s RMA on Counts: Provides statistical smoothing to suppress excessive volatility.
Classic RSI Formula: Applies the familiar RSI calculation to the smoothed run‑length ratio.
This mechanism enables early identification of momentum shifts and the construction of strategies based on stable sequences rather than sporadic gains. The simplicity of a single parameter (run‑length period – default 14) and the logical sequence of counting, smoothing, and ratio calculation make the tool both transparent and intuitive for technical traders and quantitative analysts alike.
Usage Instructions:
Select the run‑length period (commonly 14 bars).
Set overbought/oversold thresholds (recommended 70/30).
Overlay with complementary indicators (classic RSI, MACD, etc.) for confirmation.
I invite traders and analysts to incorporate RSI Run‑Length by ATTA into their indicator libraries to gain deeper, more actionable insights into price momentum.
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines — ZVOL ( volume anomaly detection ) and OBVX ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes optical tensegrity to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame.
🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets, Volumetric Tensegrity captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes.
🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate.
🧠 Core Logic - VTense separates and preserves two essential structural forces:
• ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior.
• OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off.
🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint.
🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points before price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation.
🪖 From Generals to Scouts
👀 When used jointly, ZVOL + OBVX act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a scout — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate.
🥂 Use the ZVOL + OBVX pair when :
• You need independent axis control and manual dissection
• You’re building long-form confluence setups
• You have more indicator slots than you need
🔎 Use VTense when :
• You need compact clarity across multiple instruments
• You’re prioritizing confluence _detection_ over granular separation
• You’re building efficient multi-layered systems under slot constraints
🏗️ Structural Behavior and Interpretation
🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline
🔵 Compression Coil – volume volatility is low and stable; the market is coiling
🟢 Steady Rhythm – volume is healthy but unremarkable; balanced participation
🟡 Passive/Absorbed Effort – expansion failing to manifest; watch for reversal
🟠 Clean Expansion – actionable volatility rise backed by structure
🔴 Volatile Blowout – chaos, climax; likely end-phase or fakeout
⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field.
🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves
🔑 The curvature of the spread reveals not just directional bias but crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision.
• Green Rising : Accumulation — upward pressure from real buyers
• Red Falling : Distribution — sell pressure, downward slope
• Flat Curves : Transitional → uncertainty, microstructure digestion
🎭 Synchronized vs Divergent Behavior
⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves.
• ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure
• ZVOL expands while OBVX steepens red = growing sell-side intent
🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps.
• ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment
⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release.
• ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy
• After prolonged drift, expect violent asymmetry when balance finally breaks
📚 Phase Interpretation: Dynamic Structural Read
• 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency
• 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension
• 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment
• 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal
💡 Suggested Use
• Run on 15m charts for breakout anticipation and 1H for validation
• Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase
• Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.)
• Ideal during low-volume regimes to detect pressure buildup before triggers
🧏🏻 Volumetric Tensegrity doesn’t signal. It breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
True Strength Index (TSI)%📌 Script Name: TSI Percentuale
This script is a custom True Strength Index (TSI) indicator that expresses momentum strength as a percentage from 0% to 100%, instead of the traditional TSI scale.
✅ What the Script Does
Calculates the standard TSI:
Uses double exponential smoothing of price changes and their absolute values.
Formula:
TSI_raw
=
100
×
DoubleSmoothed(ΔPrice)
DoubleSmoothed(|ΔPrice|)
TSI_raw=100×
DoubleSmoothed(|ΔPrice|)
DoubleSmoothed(ΔPrice)
Normalizes TSI to a percentile scale:
Over a user-defined lookback period, the script finds the lowest and highest TSI values.
It then rescales the current TSI to a value between 0% (minimum) and 100% (maximum).
50% represents neutral momentum (i.e., "flat").
Plots the result:
tsi_percent is plotted as a blue line.
Horizontal dashed/dotted lines are drawn at:
0% → strong downward momentum
50% → neutral
100% → strong upward momentum
⚙️ Inputs
Long Length: Long EMA smoothing period (default: 25)
Short Length: Short EMA smoothing period (default: 13)
Signal Length: (not used in this version, can be removed or extended)
Lookback Period: Number of bars to calculate min/max normalization (default: 100)
🧠 Why Use This Indicator
The classic TSI ranges around and can be hard to interpret.
This version makes TSI visually intuitive by converting it to percentile form, allowing easier comparison of momentum strength across time and instruments.
It’s particularly useful for defining zones like:
Above 70% = strong bullish
Below 30% = strong bearish
Stochastic w/ Crossovers and Deadspace FilterThis is my extremely useful modification of the classic Stochastic indicator. It includes clear signals of crossovers and crossunders of the K/D lines.
Additionally, I added a "deadspace" filter to remove plotting of signals in the middle of the range, which tend to be misleading.
This can be incredibly useful to find entries and trends, especially when using 2 instances of this indicator at different lengths (such as one of 14,1,3 and another of 28,3,6).
The deadspace filter works based on the middle line, so a value of 20 will not plot any crossovers between 30-70.
ATR Strength Index~~~~~~~ATRRSI~~~~~~~~~
Understanding the ATR Strength IndexThe "ATR Strength Index" (ATR SI) is a custom technical indicator derived by applying the calculation methodology of the Relative Strength Index (RSI) to the values of the Average True Range (ATR).
While the standard RSI measures the momentum of price changes, the ATR SI measures the momentum of volatility itself, as represented by the ATR.It is important to note that this is not a standard, widely recognised indicator like the traditional RSI or ATR.
It's a custom construction designed to provide a different perspective on market dynamics – specifically, the speed and magnitude of changes in volatility.
How it is Calculated
The calculation of the ATR Strength Index follows the same steps as the standard RSI, but the input data is the ATR value for each period, rather than the price.Let ATRi be the Average True Range value for the current period i.Let ATRi−1 be the Average True Range value for the previous period i−1.Calculate the period-over-period change in ATR:ΔATRi=ATRi−ATRi−1Separate ATR Gains and ATR Losses:If ΔATRi>0, then ATR,Gaini=ΔATRi and ATR,Lossi=0.If ΔATRi<0, then ATR,Gaini=0 and ATR,Lossi=∣ΔATRi∣.If ΔATRi=0, then ATR,Gaini=0 and ATR,Lossi=0.Calculate the Smoothed Average ATR Gain and Average ATR Loss over a specified lookback period (let's call this the "RSI Length" or n).
This typically uses a smoothing method similar to Wilder's original RSI calculation (a modified moving average or exponential moving average).Average,ATR,Gainn=Smoothed Average of ATR,Gain over n periodsAverage,ATR,Lossn=Smoothed Average of ATR,Loss over n periodsCalculate the ATR Relative Strength (ATR RS):ATR,RSn=Average,ATR,LossnAverage,ATR,GainnCalculate the ATR Strength Index:ATR,SIn=100−1+ATR,RSn100The resulting index oscillates between 0 and 100, just like the standard RSI.
How to Use It
Interpreting the ATR Strength Index focuses on the momentum of volatility rather than price momentum:High Values (e.g., above 70): Indicate that volatility (as measured by ATR) has been increasing rapidly over the chosen period.
This could suggest a market transitioning from a period of low volatility to high volatility, potentially preceding or accompanying strong directional price moves or increased choppiness.Low Values (e.g., below 30): Indicate that volatility has been decreasing rapidly.
This could suggest a market transitioning from high volatility to low volatility, potentially entering a period of consolidation or ranging price action.Midline (50): Represents a balance between increasing and decreasing volatility momentum.Divergence: You could potentially look for divergence between the ATR value itself and the ATR Strength Index. For example, if ATR is making higher highs but the ATR SI is making lower highs, it might suggest that while volatility is still increasing, the speed of that increase is slowing down. The interpretation and reliability of such divergence would need careful testing.
This indicator is best used as a supplementary tool to gain insight into the underlying volatility dynamics of the market, rather than as a primary signal generator for price direction.
It can help in understanding the current market environment – whether volatility is picking up or dying down – which can inform the suitability of different trading strategies (e.g., trend-following strategies might be more effective when volatility momentum is high, while range-bound strategies might suit periods of low volatility momentum).
Uniqueness
The ATR Strength Index is unique because it applies a momentum oscillator's logic (RSI) to a volatility indicator's output (ATR).Standard RSI: Focuses on the directional force of price movements.Standard ATR: Measures the amount of volatility, regardless of direction.ATR Strength Index: Measures the speed and direction of change in volatility.
It provides a perspective that neither the standard RSI nor ATR offers on their own – a quantified measure of how quickly the market's choppiness or range is expanding or contracting. This can be valuable for traders who incorporate volatility analysis into their decision-making process.In summary, the ATR Strength Index is a custom indicator that adapts the RSI calculation to measure the momentum of volatility, offering a unique view on market dynamics by showing how rapidly volatility is increasing or decreasing.
