Enhanced Kaufman Adaptive Moving Average (KAMA) with Bollinger B# Enhanced Kaufman Adaptive Moving Average (KAMA) with Bollinger Bands
## Overview
This indicator combines the Kaufman Adaptive Moving Average (KAMA) with Bollinger Bands to create a comprehensive trading system. It provides adaptive trend following capabilities while measuring market volatility and potential reversal points.
## Key Features
- Adaptive moving average that adjusts to market conditions
- Dynamic Bollinger Bands for volatility measurement
- Color-coded KAMA line indicating trend direction
- Integrated buy/sell signals based on multiple confirmations
- Customizable parameters for both KAMA and Bollinger Bands
- Optional bar confirmation wait feature
- Built-in alert conditions for trade signals
## Main Components
### 1. Kaufman Adaptive Moving Average (KAMA)
- Adapts to market volatility using an efficiency ratio
- Changes color based on trend direction (green for uptrend, red for downtrend)
- Adjustable parameters for fine-tuning:
- Base Length: Controls the main calculation period (default: 10)
- Fast EMA Length: For rapid market response (default: 2)
- Slow EMA Length: For stable market conditions (default: 30)
### 2. Bollinger Bands
- Standard deviation-based volatility bands
- Customizable length and standard deviation multiplier
- Includes expansion threshold for volatility measurement
- Components:
- Upper Band: Upper volatility threshold
- Middle Band: Simple moving average
- Lower Band: Lower volatility threshold
## Signal Generation
### Buy Signals
Generated when:
1. KAMA color changes from red to green
2. Price closes above KAMA
3. Price closes above the middle Bollinger Band
4. Signals are marked with:
- Green triangles below the candles
- "B" labels for easy identification
### Sell Signals
Generated when:
1. KAMA color changes from green to red
2. Price closes below KAMA
3. Price closes below the middle Bollinger Band
4. Signals are marked with:
- Red triangles above the candles
- "S" labels for easy identification
## Customizable Parameters
### KAMA Settings
- Base Length (1-50)
- Fast EMA Length (1-10)
- Slow EMA Length (10-50)
- Source Price Selection
- Direction Highlight Toggle
- Bar Confirmation Option
### Bollinger Bands Settings
- Length (default: 20)
- Standard Deviation Multiplier (default: 2.0)
- Expansion Threshold (0.1-3.0)
## Alert Functionality
Built-in alerts for:
- Buy signals with customizable messages
- Sell signals with customizable messages
## Best Practices
### Timeframe Selection
- Works well on multiple timeframes
- Recommended for 15m to 4h charts for optimal signal generation
- Higher timeframes provide more reliable trend signals
### Parameter Optimization
- Adjust KAMA lengths based on trading style:
- Shorter lengths for day trading
- Longer lengths for swing trading
- Fine-tune BB multiplier based on market volatility
- Consider waiting for bar confirmation in volatile markets
### Risk Management
- Use in conjunction with other indicators for confirmation
- Consider market conditions and volatility when trading signals
- Implement proper position sizing and stop-loss levels
## Technical Notes
- Written in Pine Script™ v6
- Overlay indicator (displays on price chart)
- Compatible with all TradingView-supported markets
- Resource-efficient implementation for smooth performance
## Disclaimer
This indicator is provided under the Mozilla Public License 2.0. While it can be a valuable tool for technical analysis, it should not be used as the sole basis for trading decisions. Always combine with proper risk management and additional analysis methods.
Bands and Channels
Four Supertrend By Baljit AujlaThis Pine Script is an implementation of a "Four Supertrend" indicator by Baljit Aujla. It calculates and plots four Supertrend indicators based on the Average True Range (ATR) method, allowing for different ATR periods and multipliers for each line.
Here is an explanation of the key components:
Inputs
1:- ATR Periods: Four different periods for ATR, adjustable by the user (defaults: 10, 11, 12, 13).
2:- ATR Multipliers: Four different multipliers for the ATR, adjustable by the user (defaults: 1.0, 2.0, 3.0, 4.0).
3:- Source: The data source used for calculation, default is the average of high and low prices (hl2).
4:- Change ATR Calculation Method: Option to switch between the traditional ATR and a simple moving average of true range (SMA of TR).
5:- Signal Display- Options to show buy/sell signals and highlight trends.
Logic:
The script computes four separate Supertrend lines using the ATR method for each line. For each of the four lines, it calculates an uptrend and downtrend threshold, and the trend direction changes when the close price crosses these thresholds.
For each trend line:
1. Uptrend and Downtrend Calculation: The script uses ATR-based bands above and below the price. The uptrend line is calculated by subtracting the ATR multiplied by a given multiplier from the source price, and the downtrend line is calculated by adding the ATR multiplied by a multiplier to the source price.
2. Trend Reversal Logic: The trend switches based on the price action relative to the uptrend and downtrend lines. If the price moves above the downtrend, it signals a switch to an uptrend, and vice versa for a downtrend.
3. Signal Generation: Buy signals occur when the trend changes from negative to positive (down to up), and sell signals occur when the trend changes from positive to negative (up to down).
Plots:
The script plots:
Uptrend and Downtrend Lines: These are visualized as green and red lines for each trend.
Buy/Sell Signals: Small circles are drawn on the chart when a trend change occurs (buy and sell signals).
Trend Highlighting: Background highlighting is applied to show when the market is in an uptrend (green) or downtrend (red).
Alerts:
The script has commented-out alert conditions (alertcondition), which can be enabled to send notifications when a buy or sell signal occurs, or when a trend change happens.
Enhancements:
1. Background Highlighting: This is an option to visually emphasize uptrends and downtrends by filling the background with respective colors.
2. Signal Visibility: You can toggle whether to show the buy/sell signals on the chart.
3. ATR Calculation Method: Option to change the ATR calculation method (using SMA of TR vs the default ATR).
The script is useful for identifying multi-timeframe trends with adjustable parameters and provides both signals and visual markers on the chart to aid in trading decisions.
Issues and Improvements:
The code seems to be truncated, specifically for the last Supertrend line (Line 4). To fully complete the functionality for the fourth line, the logic for up4, down4 and tread4 needs to be finished, similar to the other three lines.
Would you like help finishing the script for the fourth line or improving specific parts of it?
Quantum Transform - AynetQuantum Transform Trading Indicator: Explanation
This script is called a "Quantum Transform Trading Indicator" and aims to enhance market analysis by applying complex mathematical models. Written in Pine Script, the indicator includes the following elements:
1. General Structure
Quantum Parameters: Inspired by physical and mathematical concepts (Planck constant ℏ, wave function Ψ, time τ, etc.), it uses specific parameters.
Transformation Functions: Applies various mathematical operations to transform price data in different ways.
Signal Generation: Produces signals for long and short positions.
Visualization: Displays different price transformations and signals on the chart.
2. Core Parameters
The parameters allow users to control various transformations:
Planck Constant (ℏ): A scaling factor for wave modulation.
Wave (Ψ): Controls oscillation in price data.
Time (τ): The length of the lookback period for calculations.
Relativity (γ): Power factor in the Lorentz transformation.
Phase Shift (β): Manages phase shift in transformations.
Frequency (ω): Represents the frequency of price movements.
Dimensions (∇): Enables multi-dimensional field analysis.
3. Functions
a) Relativistic Transform
Inspired by the theory of relativity.
Calculates the Lorentz factor using the rate of price change.
Transforms price data to amplify the relativity effect.
b) Phase Transform
Calculates the phase of price data and applies wave modulation.
Creates phase and amplitude modulation based on the bar index.
c) Resonance Transform
Calculates resonance effects using natural frequency and oscillations.
Highlights periodic behaviors of price movements.
d) Field Transform
Applies multi-dimensional field calculations.
Combines strength, wave, and coherence aspects of price data.
e) Chaos Transform
Implements a chaos effect based on sensitivity analysis.
Simulates chaotic behaviors of price movements.
4. Main Calculations
Quantum Price: The average of all transformation functions.
Bands:
Upper Band: The highest level of quantum price.
Lower Band: The lowest level of quantum price.
Mid Band: The average of upper and lower bands.
Momentum: Calculates the rate of change in quantum price.
5. Signal Generation
Long Signal:
Triggered when the phase price crosses above the field price.
Momentum must be positive, and the price above the mid-band.
Short Signal:
Triggered when the phase price crosses below the field price.
Momentum must be negative, and the price below the mid-band.
Signal strength is calculated relative to the momentum moving average.
6. Visualization
Each transformation is displayed in a unique color.
Bands and Momentum: Visualize price behavior.
Signal Icons: Show buy/sell signals using up/down arrows on the chart.
7. Information Panel
A table in the top-right corner of the chart displays:
The current values of each transformation.
Signal strength (as a percentage).
The type of signal (⬆: Long, ⬇: Short).
Applications
Trend Following: Analyze trends with complex transformations.
Resonance and Chaos Analysis: Understand dynamic behaviors of price.
Signal Strategies: Create strong and reliable buy/sell signals.
If you have any additional questions or customization requests regarding this indicator, feel free to ask!
Market Session Times and Volume [Market Spotter]Market Session Times and Volume
Market Session Times
Inputs
The inputs tab consists of timezone adjustment which would be the chosen timezone for the plotting of the market sessions based on the market timings.
Further it contains settings for each box to show/hide and change box colour and timings for Asian, London and New York Sessions.
How it works
The indicator primarily works by marking the session highs and lows for the chosen time in the inputs, each of the sessions can be input a custom time value which would plot the box. It helps to identify the important price levels and the trading range for each individual session.
The midpoint of each session is marked with a dashed line. The indicator also marks a developing session while it being formed as well to identify potential secondary levels.
Usage
It can be used to trade session breakouts, false breaks and also divide the daily movement into parts and identify possible patterns while trading.
2. Volumes
Inputs
The volume part has 2 inputs - Smoothing and Normalisation. The smoothing period can simply be used to take in charge volumes of last X bars and normalisation can be used for calculating relative volumes based on last Y bars.
How it works
The indicator takes into account the buy and sell volumes of last X bars and then displays that as a relative smoothed volume which helps to identify longer term build or distribution of volume. It plots the positive volume from 0 to 100 and negative volume from 0 to -100 which has been normalised. The colors identify gradual increase or decrease in volumes
Usage
It can also be used to trade volume spikes well and can identify potential market shifts
Candle Average PriceOverview
The Candle Average Price indicator is a custom tool designed to help traders identify key price levels by calculating and displaying the average price of recent candles on your TradingView chart. This indicator computes the average price based on a user-defined percentage of each candle's range over a specified number of candles. It then plots a horizontal line representing this average, covering only the last N candles as defined by you.
Key Features
Customizable Number of Candles: Define how many past candles to include in the average calculation.
Adjustable Percentage Level: Choose any percentage of each candle's range (from low to high) to calculate the price level.
Dynamic Horizontal Line: The indicator plots a horizontal line representing the calculated average, updating with each new bar and covering only the specified number of candles.
How It Works
Price at Specified Percentage:
For each candle, the indicator calculates a price level at your chosen percentage within the candle's range.
Formula: Price = Low + (Percentage Level / 100) * (High - Low)
Average Price Calculation:
It computes the average of these price levels over the last N candles.
Formula: Average Price = Sum of Price Levels over N Candles / N
Horizontal Line Plotting:
A horizontal line is drawn at the calculated average price level.
The line spans from N candles ago to the current candle, covering exactly the number of candles specified.
Input Parameters
Number of Candles (length):
Description: The number of recent candles over which the average is calculated.
Default Value: 4
Range: 1 to any positive integer.
Usage: Adjust this to include more or fewer candles in the calculation. A higher number smooths the average, while a lower number makes it more responsive to recent price changes.
Percentage Level (%):
Description: The percentage within each candle's range to calculate the price level.
Default Value: 50%
Range: 0% (candle low) to 100% (candle high).
Usage: Modify this to focus on different parts of each candle:
0%: Uses the low of each candle.
50%: Uses the midpoint of each candle.
100%: Uses the high of each candle.
Custom Percentage: Any value between 0% and 100% to target specific levels.
How to Use the Indicator
Adding the Indicator to Your Chart:
Open the TradingView chart of your preferred financial instrument.
Click on Indicators at the top of the chart.
Select Invite-Only Scripts if you've saved the script there, or use the Pine Editor to paste and apply the script.
Configuring the Settings:
After adding the indicator, click on the gear icon ⚙️ next to its name to open settings.
Adjust the Number of Candles (length) to your desired period.
Set the Percentage Level (%) (percentage) to the specific level within each candle's range you want to analyze.
Interpreting the Horizontal Line:
The horizontal line represents the average price calculated based on your inputs.
It updates with each new bar, always reflecting the most recent data over the specified number of candles.
The line only spans the last N candles, providing a focused view of recent price action.
Practical Applications
Identifying Support and Resistance Levels:
The average price line can act as a dynamic support or resistance level.
Traders can watch for price reactions around this line to make trading decisions.
Trend Analysis:
Observing how the price interacts with the average line can provide insights into the current trend's strength and potential reversals.
Entry and Exit Signals:
Use the line as a reference point for setting stop-loss orders or taking profits.
Combine it with other indicators for more robust trading signals.
In highly volatile markets, consider increasing the number of candles to avoid false signals.
Limitations and Considerations
Not a Standalone Tool:
This indicator should not be used in isolation for making trading decisions. Always consider additional analysis.
Market Conditions Matter:
The indicator may perform differently in trending markets versus ranging markets.
Data Refresh:
Ensure you have a stable internet connection and that your TradingView chart is set to the correct time frame.
Conclusion
The Candle Average Price indicator is a flexible and user-friendly tool that provides valuable insights into recent price action by calculating the average price based on your specific criteria. By adjusting the parameters to suit your trading style, you can incorporate this indicator into your technical analysis to help identify potential trading opportunities.
Disclaimer: Trading financial instruments involves risk, and past performance is not indicative of future results. This indicator is a tool to assist in analysis and should not be considered financial advice.
Happy Trading!
TMA Bands TMA (Triangular Moving Average):
Üçgen hareketli ortalamalar, fiyat verilerini yumuşatarak trendi daha net göstermek için kullanılır.
"Centered Asymmetric Bands" terimi, bu indikatörün merkezlenmiş bir yapıda çalıştığını ve farklı genişliklerde bantlar içerdiğini gösteriyor.
Diamonds Infiniti - Aynet FiboThe "Diamonds Infiniti - Aynet Fibo" Pine Script combines the geometric visualization of diamond patterns with Fibonacci retracement levels to create an innovative technical indicator for analyzing market trends and potential reversal points. Below is a detailed explanation of the code and its functionality:
Key Features
Dynamic Fibonacci Levels
High and Low Points: The script calculates the highest high and lowest low over a user-defined lookback period (lookback) to establish a price range.
Fibonacci Price Levels: Using the defined price range, the script calculates the Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%) relative to the low point.
Trend Change Detection
Crossovers and Crossunders: The script monitors whether the closing price crosses over or under the calculated Fibonacci levels. This detection is encapsulated in the isTrendChange function.
Trend Signal: If a trend change occurs at any of the Fibonacci levels (23.6%, 38.2%, 50%, 61.8%), the script flags it as a trend change and stores the bar index of the last signal.
Diamond Pattern Visualization
Diamond Construction: The drawDiamond function draws a diamond shape at a given bar index using a central price, a top price, and a bottom price.
Trigger for Drawing Diamonds: When a trend change is detected, the script draws two diamonds—one on the left and one on the right—connected by a central line. The diamonds are based on the calculated price range (price_range) and a user-defined pattern height (patternHeight).
Fibonacci Level Visualization
Overlay of Fibonacci Levels: The script plots the calculated Fibonacci levels (23.6%, 38.2%, 50%, 61.8%) on the chart as dotted lines for easier visualization.
Scientific and Trading Use Cases
Trend Visualization:
The diamond pattern visually highlights trend changes around key Fibonacci retracement levels, providing traders with clear indicators of potential reversal zones.
Support and Resistance Zones:
Fibonacci retracement levels are widely recognized as key support and resistance zones. Overlaying these levels helps traders anticipate price behavior in these areas.
Adaptive Trading:
By dynamically recalculating Fibonacci levels and diamond patterns based on the most recent price range, the script adapts to changing market conditions.
Possible Enhancements
Multi-Timeframe Support:
Extend the script to calculate Fibonacci levels and diamond patterns across multiple timeframes for broader market analysis.
Alerts:
Add alerts for when the price crosses specific Fibonacci levels or when a new diamond pattern is drawn.
Additional Patterns:
Include other geometric patterns like triangles or rectangles for further trend analysis.
This script is a powerful visualization tool that combines Fibonacci retracement with unique diamond patterns. It simplifies complex price movements into easily interpretable signals, making it highly effective for both novice and experienced traders.
Fibonacci Renko Trend - AynetThe "Fibonacci Renko Trend - Aynet" Pine Script combines the Renko charting technique with Fibonacci retracement levels to create a highly customizable and adaptive trend-following tool. Below is a detailed explanation of the script and its components:
Scientific and Trading Applications
Noise Reduction:
By using Renko charts, the script filters out time-based noise and focuses solely on price movement, making it ideal for trend-following strategies.
Adaptability:
The ATR-based box size ensures that the Renko blocks automatically adjust to market volatility, making the tool versatile for different market conditions and asset classes.
Fibonacci-Based Decision Making:
The integration of Fibonacci retracement levels provides a structured framework for identifying key support and resistance levels. Traders can use these levels to anticipate price reversals or continuations.
Visualization:
The color-coded Renko blocks allow traders to quickly identify trends and potential reversals without additional indicators, improving decision-making efficiency.
Possible Improvements
Signal Generation:
Add entry and exit signals when price crosses significant Fibonacci levels or when a trend reversal is detected.
Multi-Timeframe Support:
Extend the script to compute Renko levels and Fibonacci ratios for multiple timeframes simultaneously.
Alerts:
Implement alert notifications for key events, such as trend changes or Fibonacci level breaches.
This script is a robust tool for traders looking to combine the simplicity of Renko charts with the analytical power of Fibonacci retracement levels. It offers a clear visualization of price trends and potential reversal points, making it suitable for both novice and experienced traders.
Average High-Low Multi Time Frame Lines SunilTitle: Multi-Timeframe Average High-Low Levels with Custom Timeframes
Description:
This indicator calculates the average of high and low prices across up to four customizable timeframes. By default, it includes 30 minutes, 1 hour, 3 hours, and 1 day, but you can modify these directly in the input settings to suit your trading strategy.
Features:
Plots average high-low levels for selected timeframes with distinct colors.
Highlights buy zones (green) when the price is above all levels and sell zones (red) when the price is below all levels.
Marks areas where all levels align with a subtle blue background.
Use this tool to identify key levels and potential trading opportunities across multiple timeframes at a glance!
First 15-Min Candle Detector [With Breakout Alerts]Indicator: First 15-Minute Candle Detector
Purpose
This indicator helps traders by identifying and marking the high, low, and mid-point of the first 15-minute candle of the market session. It also provides visual aids and alerts for price breakouts above or below these levels, making it ideal for intraday trading strategies.
This script is suitable for traders focusing on early session momentum or reversal strategies.
Key Features
Market Start Customization: Configure the market start time (hour and minute) to align with your trading session or exchange timezone.
Visual Aids:
Horizontal lines to mark the High , Low , and Mid-point of the first 15-minute candle.
Background highlighting to identify the first 15-minute candle.
Configurable colors and line widths for clear visuals.
Breakout Alerts:
Real-time alerts for breakouts above the high or below the low of the first 15-minute candle.
Customizable alert messages.
Alerts configured using alertcondition .
Dynamic Adjustments:
Adapts dynamically to timeframes of 15 minutes or lower.
Resets and recalculates at the start of each new session.
Inputs and Configurations
Market Settings:
Market Start Hour: Default is 9.
Market Start Minute: Default is 30.
Visual Settings:
Enable/disable background highlighting.
Set colors for the background, high line, low line, and mid-line.
Adjust line width (1 to 5).
Toggle the visibility of the mid-line.
Alert Settings:
Enable breakout alerts.
Set custom alert messages for high and low breakouts.
How It Works
// First 15-Minute Candle Detection
The indicator monitors the first 15-minute candle after the market opens based on the configured start time. It records the high , low , and calculates the mid-point of this candle.
// Visual Markings
Horizontal lines are drawn at the high, low, and mid-point of the first 15-minute candle, extending to the right for the rest of the session.
// Breakout Detection
The indicator checks for price breakouts above the high or below the low of the first 15-minute candle and triggers alerts if enabled.
// Dynamic Reset
The indicator resets values and deletes previous session lines at the start of each new session.
Conditions and Alerts
Breakout Conditions:
High Breakout: The closing price exceeds the high of the first 15-minute candle.
Low Breakout: The closing price falls below the low of the first 15-minute candle.
Alert Triggers: Configurable alerts notify you of breakouts in real-time.
Use Cases
Intraday Traders: Ideal for early-session momentum or reversal strategies.
Breakout Traders: Helps identify entry points when price breaks key levels.
Visual Clarity: Simplifies tracking important session levels.
Limitations
Works only on 15-minute or lower timeframes.
Requires accurate market start time configuration.
EMA with Supply and Demand Zones
The EMA with Supply and Demand Strategy is a trend-following trading approach that integrates Exponential Moving Averages (EMA) with supply and demand zones to identify potential entry and exit points. Below is a detailed description of its components and logic:
Key Components of the Strategy
1. EMA (Exponential Moving Average)
The EMA is used as a trend filter:
Bullish Trend: Price is above the EMA.
Bearish Trend: Price is below the EMA.
The EMA ensures that trades align with the overall market trend, reducing counter-trend risks.
2. Supply and Demand Zones
Demand Zone:
Represents areas where the price historically found support (buyers dominated).
Calculated using the lowest low over a specified lookback period.
Used for identifying potential long entry points.
Supply Zone:
Represents areas where the price historically faced resistance (sellers dominated).
Calculated using the highest high over a specified lookback period.
Used for identifying potential short entry points.
3. Trade Conditions
Long Trade:
Triggered when:
The price is above the EMA (bullish trend).
The low of the current candle touches or penetrates the most recent demand zone.
Short Trade:
Triggered when:
The price is below the EMA (bearish trend).
The high of the current candle touches or penetrates the most recent supply zone.
4. Exit Conditions
Long Exit:
Exit the trade when the price closes below the EMA, indicating a potential trend reversal.
Short Exit:
Exit the trade when the price closes above the EMA, signaling a potential upward reversal.
Visual Representation
EMA: A blue line plotted on the chart to show the trend.
Supply Zones: Red horizontal lines representing potential resistance levels.
Demand Zones: Green horizontal lines representing potential support levels.
These zones dynamically adjust to reflect the most recent 3 levels.
How the Strategy Works
Trend Identification:
The EMA determines the direction of the trade:
Look for long trades only in a bullish trend (price above EMA).
Look for short trades only in a bearish trend (price below EMA).
Entry Points:
Wait for price interaction with a supply or demand zone:
If the price touches a demand zone during a bullish trend, initiate a long trade.
If the price touches a supply zone during a bearish trend, initiate a short trade.
Risk Management:
The strategy exits trades if the price moves against the trend (crosses the EMA).
This ensures minimal exposure during adverse market movements.
Benefits of the Strategy
Trend Alignment:
Reduces counter-trend trades, improving the win rate.
Clear Entry and Exit Rules:
Combines price action (zones) with a reliable trend filter (EMA).
Dynamic Levels:
The supply and demand zones adapt to changing market conditions.
Customization Options
EMA Length:
Adjust to suit different timeframes or market conditions (e.g., 20 for faster trends, 50 for slower trends).
Lookback Period:
Fine-tune to capture broader or narrower supply and demand zones.
Risk/Reward Preferences:
Pair the strategy with stop-loss and take-profit levels for enhanced control.
This strategy is ideal for traders looking for a structured approach to identify high-probability trades while aligning with the prevailing trend. Backtest and optimize parameters based on your trading style and the specific asset you're tradin
Truly Iterative Gaussian ChannelOVERVIEW
The Truly Iterative Gaussian Channel is a robust channeling system that integrates a Gaussian smoothing kernel with a rolling standard deviation to create dynamically adaptive upper and lower boundaries around price. This indicator provides a smooth, yet responsive representation of price movements while minimizing lag and dynamically adjusting channel width to reflect real-time market volatility. Its versatility makes it effective across various timeframes and trading styles, offering significant potential for experimentation and integration into advanced trading systems.
TRADING USES
The Gaussian indicator can be used for multiple trading strategies. Trend following relies on the middle Gaussian line to gauge trend direction: prices above this line indicate bullish momentum, while prices below signal bearish momentum. The upper and lower boundaries act as dynamic support and resistance levels, offering breakout or pullback entry opportunities. Mean reversion focuses on identifying reversal setups when price approaches or breaches the outer boundaries, aiming for a return to the Gaussian centerline. Volatility filtering helps assess market conditions, with narrow channels indicating low volatility or consolidation and suggesting fewer trading opportunities or an impending breakout. Adaptive risk management uses channel width to adjust for market volatility, with wider channels signaling higher risk and tighter channels indicating lower volatility and potentially safer entry points.
THEORY
Gaussian kernel smoothing, derived from the Gaussian normal distribution, is a cornerstone of probability and statistics, valued for its ability to reduce noise while preserving critical signal features. In this indicator, it ensures price movements are smoothed with precision, minimizing distortion while maintaining responsiveness to market dynamics.
The rolling standard deviation complements this by dynamically measuring price dispersion from the mean, enabling the channel to adapt in real time to changing market conditions. This combination leverages the mathematical correctness of both tools to balance smoothness and adaptability.
An iterative framework processes data efficiently, bar by bar, without recalculating historical value to ensure reliability and preventing repainting to create a mathematically grounded channel system suitable for a wide range of market environments.
The Gaussian channel excels at filtering noise while remaining responsive to price action, providing traders with a dependable tool for identifying trends, reversals, and volatility shifts with consistency and precision.
CALIBRATION
Calibration of the Gaussian channel involves adjusting its length to modify sensitivity and adaptability based on trading style. Shorter lengths (e.g., 50-100) are ideal for intraday traders seeking quick responses to price fluctuations. Medium lengths (e.g., 150-200) cater to swing traders aiming to capture broader market trends. Longer lengths (e.g., 250-400+) are better suited for positional traders focusing on long-term price movements and stability.
MARKET USAGE
Stock, Forex, Crypto, Commodities, and Indices.
BeautifulStochRSIBeautifulStochRSI: A Unique and Clear Approach to Stochastic RSI
Introducing the BeautifulStochRSI, an colorfull approach to the popular Stochastic RSI indicator. This script goes beyond the standard representation by offering visually distinct and intuitive signals to enhance your trading experience.
The BeautifulStochRSI is ideal for traders who value both precision and simplicity. It combines functional enhancements with a polished design, ensuring that crucial market insights are presented clearly and effectively. Created by rektbyhielke, this script leverages the capabilities of Pine Script™ v5 for optimal performance.
By sharing this script, the aim is not only to provide a practical trading solution but also to inspire others to create indicators that are both beautiful and efficient.
the script includes fully customizable parameters for RSI length, stochastic length, and smoothing factors, allowing traders to tailor the indicator to their specific strategies. Overbought and oversold zones are marked with dots at levels 80 and 20, complemented by a subtle teal background fill to emphasize these areas.
FRAMA Channel [BigBeluga]This is a trend-following indicator that utilizes the Fractal Adaptive Moving Average (FRAMA) to create a dynamic channel around the price. The FRAMA Channel helps identify uptrends, downtrends, and ranging markets by examining the relationship between the price and the channel's boundaries. It also marks trend changes with arrows, optionally displaying either price values or average volume at these key points.
🔵 IDEA
The core idea behind the FRAMA Channel indicator is to use the fractal nature of markets to adapt to different market conditions. By creating a channel around the FRAMA line, it not only tracks price trends but also adapts its sensitivity based on market volatility. When the price crosses the upper or lower bands of the channel, it signals a potential shift in trend direction. If the price remains within the channel and crosses over the upper or lower bands without a breakout, the market is likely in a ranging phase with low momentum. This adaptive approach makes the FRAMA Channel effective in both trending and ranging market environments.
🔵 KEY FEATURES & USAGE
◉ Dynamic FRAMA Channel with Trend Signals:
The FRAMA Channel uses a fractal-based moving average to create an adaptive channel around the price. When the price crosses above the upper band, it signals an uptrend and plots an upward arrow with the price (or average volume) value. Conversely, when the price crosses below the lower band, it signals a downtrend and marks the point with a downward arrow. This dynamic adaptation to market conditions helps traders identify key trend shifts effectively.
◉ Ranging Market Detection:
If the price remains within the channel, and only the high crosses the upper band or the low crosses the lower band, the indicator identifies a ranging market with low momentum. In this case, the channel turns gray, signaling a neutral trend. This is particularly useful for avoiding false signals during periods of market consolidation.
◉ Color-Coded Candles and Channel Bands:
Candles and channel bands are color-coded to reflect the current trend direction. Green indicates an upward trend, blue shows a downward trend, and gray signals a neutral or ranging market. This visual representation makes it easy to identify the market condition at a glance, helping traders make informed decisions quickly.
◉ Customizable Display of Price or Average Volume:
On trend change signals, the indicator allows users to choose whether to display the price at the point of trend change or the average volume of 10 bars. This flexibility enables traders to focus on the information that is most relevant to their strategy, whether it's the exact price entery or the volume context of the market shift. Displaying the average volume allows to see the strength of the trend change.
Price Data:
Average Volume of points:
🔵 CUSTOMIZATION
Length & Bands Distance: Adjust the length for the FRAMA calculation to control the sensitivity of the channel. A shorter length makes the channel more reactive to price changes, while a longer length smooths it out. The Bands Distance setting determines how far the bands are from the FRAMA line, helping to define the breakout and ranging conditions.
Signals Data: Choose between displaying the price or the average volume on trend change arrows. This allows traders to focus on either the exact price level of trend change or the market volume context.
Color Settings: Customize the colors for upward momentum, downward momentum, and neutral states to suit your charting preferences. You can also toggle whether to color the candles based on the momentum for a clearer visual of the trend direction.
The FRAMA Channel indicator adapts to market conditions, providing a versatile tool for identifying trends and ranging markets with clear visual cues.
2 bars BarsInputs:
The script allows you to specify the values for each state (HH, HL, LL, LH) for two bars.
Labels as Bars:
Instead of line.new, this script uses label.new to simulate a pseudo-bar chart.
Bars are visually represented as labels, with distinct positions and colors.
Offset Logic:
The offset ensures that each category has its labels (bars) placed at the correct horizontal distance.
Custom Categories:
The categories array ("HH", "HL", "LL", "LH") links to their respective values.
MegaGas Bollinger Bands with Divergence and Circle SignalsIndicator: MegaGas Bollinger Bands with Divergence and Circle Signals
This script provides a powerful combination of Bollinger Bands, RSI Divergence detection, and signal visualization tools. Designed with flexibility and precision in mind, it aims to assist traders in identifying trend reversals, volatility zones, and divergence-based trading opportunities. The script is well-suited for swing trading, momentum trading, and even scalping when adapted to lower timeframes.
How It Works:
Bollinger Bands:
Bollinger Bands are used to detect price volatility and overbought/oversold conditions. The script calculates:
Basis Line: A 34-period Simple Moving Average (SMA) as the core trend line.
Upper Bands: Bands positioned 1x and 2x the standard deviation above the SMA.
Lower Bands: Bands positioned 1x and 2x the standard deviation below the SMA. These levels provide dynamic support and resistance zones, highlighting breakout and reversion opportunities.
RSI Divergence Detection:
The indicator detects bullish divergence (when RSI forms a higher low while price forms a lower low) and bearish divergence (when RSI forms a lower high while price forms a higher high). These divergences often precede significant reversals or momentum shifts.
Bullish divergence is displayed with blue triangles (up).
Bearish divergence is displayed with orange triangles (down).
Buy and Sell Signals:
Circle Signals are generated when price crosses key Bollinger Bands levels:
A green circle appears when the price crosses above the lower band (potential buy signal).
A red circle appears when the price crosses below the upper band (potential sell signal).
These signals help identify potential entry and exit points for trades, particularly in trend-following or mean-reversion strategies.
Trend Reference (Moving Average):
A 50-period Simple Moving Average (SMA) is included as a trend reference, helping traders gauge the overall market direction. Use this to confirm divergence signals and avoid trades against the prevailing trend.
Why This Indicator Is Unique:
This script integrates multiple tools in a meaningful way, emphasizing contextual trading signals. Unlike standalone Bollinger Bands or RSI indicators, it introduces:
Advanced Divergence Analysis: Enhancing traditional RSI with divergence-based alerts.
Dynamic Signal Filtering: Preventing repetitive signals by introducing state-based logic for circles and divergence signals.
Trend Alignment: Combining Bollinger Bands with an SMA to filter trades based on the prevailing trend.
How to Use:
Setup:
Apply the indicator to any chart and timeframe. For swing trading, higher timeframes like 4H or 1D are recommended.
Adjust the RSI, Bollinger Bands, and Moving Average lengths to match your strategy and asset.
Signals:
Look for divergence signals (triangles) as early warnings of trend reversals. Confirm these with price action or other tools.
Use circle signals (green/red) to time potential entries/exits around Bollinger Band extremes.
Confirmation:
Combine divergence and circle signals with the SMA line to avoid counter-trend trades. For example, take bullish signals when the price is above the SMA and bearish signals when it is below.
Chart Clarity:
The script is published with a clean chart for clarity. It visualizes all signals with distinct shapes (triangles and circles) and colors, ensuring they are easily recognizable. Bollinger Bands and the SMA are plotted with transparency to avoid clutter.
Originality:
This script is a thoughtful blend of Bollinger Bands and RSI divergence detection, carefully designed to provide traders with actionable insights. It introduces state-based logic to manage repetitive signals and seamlessly integrates trend filtering, making it a valuable tool for both novice and experienced traders.
Sri Yantra MTF - AynetSri Yantra MTF - Aynet Script Overview
This Pine Script generates a Sri Yantra-inspired geometric pattern overlay on price charts. The pattern is dynamically updated based on multi-timeframe (MTF) inputs, utilizing high and low price ranges, and adjusting its size relative to a chosen multiplier.
The Sri Yantra is a sacred geometric figure used in various spiritual and mathematical contexts, symbolizing the interconnectedness of the universe. Here, it is applied to visualize structured price levels.
Scientific and Technical Explanation
Multi-Timeframe Integration:
Base Timeframe (baseRes): This is the primary timeframe for the analysis. The opening price and ATR (Average True Range) are calculated from this timeframe.
Pattern Timeframe (patternRes): Defines the granularity of the pattern. It ensures synchronization with price movements on specific time intervals.
Geometric Construction:
ATR-Based Scaling: The script uses ATR as a volatility measure to dynamically size the geometric pattern. The sizeMult input scales the pattern relative to price volatility.
Pattern Width (barOffset): Defines the horizontal extent of the pattern in terms of bars. This ensures the pattern is aligned with price movements and scales appropriately.
Sri Yantra-Like Geometry:
Outer Square: A bounding box is drawn around the price level.
Triangles: Multiple layers of triangles (primary, secondary, and tertiary) are calculated and drawn to mimic the structure of the Sri Yantra. These triangles converge and diverge based on price levels.
Horizontal Lines: Added at key levels to provide additional structure and aesthetic alignment.
Dynamic Updates:
The pattern recalculates and redraws itself on the last bar of the selected timeframe, ensuring it adapts to real-time price data.
A built-in check identifies new bars in the chosen timeframe (patternRes), ensuring accurate updates.
Information Table:
Displays the selected base and pattern timeframes in a table format on the top-right corner of the chart.
Allows traders to see the active settings for quick adjustments.
Key Inputs
Style Settings:
Pattern Color: Customize the color of the geometric patterns.
Size Multiplier (sizeMult): Adjusts the size of the pattern relative to price movements.
Line Width: Controls the thickness of the geometric lines.
Timeframe Settings:
Base Resolution (baseRes): Timeframe for calculating the pattern's anchor (default: daily).
Pattern Resolution (patternRes): Timeframe granularity for the pattern’s formation.
Geometric Adjustments:
Pattern Width (barOffset): Horizontal width in bars.
ATR Multiplier (rangeSize): Vertical size adjustment based on price volatility.
Scientific Concepts
Volatility Representation:
ATR (Average True Range): A standard measure of market volatility, representing the average range of price movements over a defined period. Here, ATR adjusts the vertical height of the geometric figures.
Geometric Symmetry:
The script emulates symmetry similar to the Sri Yantra, aligning with the principles of sacred geometry, which often appear in nature and mathematical constructs. Symmetry in financial data visualizations can aid in intuitive interpretation of price movements.
Multi-Timeframe Fusion:
Synchronizing patterns with multiple timeframes enhances the relevance of overlays for different trading strategies. For example, daily trends combined with hourly patterns can help traders optimize entries and exits.
Visual Features
Outer Square:
Drawn to encapsulate the geometric structure.
Represents the broader context of price levels.
Triangles:
Three layers of interlocking triangles create a fractal pattern, providing a visual alignment to price dynamics.
Horizontal Lines:
Emphasize critical levels within the pattern, offering visual cues for potential support or resistance areas.
Information Table:
Displays the active timeframe settings, helping traders quickly verify configurations.
Applications
Trend Visualization:
Patterns overlay on price movements provide a clearer view of trend direction and potential reversals.
Volatility Mapping:
ATR-based scaling ensures the pattern adjusts to varying market conditions, making it suitable for different asset classes and trading strategies.
Multi-Timeframe Analysis:
Integrates higher and lower timeframes, enabling traders to spot confluences between short-term and long-term price levels.
Potential Enhancements
Add Fibonacci Levels: Overlay Fibonacci retracements within the pattern for deeper price level insights.
Dynamic Alerts: Include alert conditions when price intersects key geometric lines.
Custom Labels: Add text descriptions for critical intersections or triangle centers.
This script is a unique blend of technical analysis and sacred geometry, providing traders with an innovative way to visualize market dynamics.
Sessions ny vizScript Purpose
This indicator draws a colored background during the New York trading session. It's useful for traders who want to have a visual overview of when the American (NY) trading session is active.
Main Features
NY Session Visualization - draws a gray bar in the background of the chart during NY trading hours (15:00-19:00 CET)
Customization - allows users to:
Set custom session time range
Adjust background color and transparency
Limit display to only the last 24 hours
Input Parameters
sessionRange - session time range (default 15:00-19:00 CET)
sessionColour - background color (default gray with 90% transparency)
onlyLast24Hours - toggle for showing only the last 24 hours (default false)
Technical Details
Script is written in Pine Script version 5
Uses UNIX timestamp for time period calculations
Runs as an overlay indicator (overlay=true), meaning it displays directly on the price chart
Uses the bgcolor() function for background rendering
Contains logic to check if current time is within defined session
Usage
This indicator is useful for:
Monitoring active NY trading session hours
Planning trades during the most liquid hours of the US market
Visual orientation in the chart during different trading sessions
B-Xtrender By Neal inspired from @PuppytherapyThanks to @puppytherapy for creating the original B-Xtrender indicator, available at this link: B-Xtrender by @QuantTherapy
I played around the code to have entry and exit condition. The B-Xtrender @QuantTherapy
indicator is a momentum-based tool designed to help traders identify potential trade opportunities by tracking shifts in market momentum. Using a smoothed momentum oscillator, it detects changes in trend direction and provides clear signals for entry and exit points.
Features
Momentum Detection:
Tracks market momentum using the BX-Trender Oscillator.
Green bars indicate bullish momentum, while red bars indicate bearish momentum.
Lighter shades of green/red reflect weakening momentum.
Entry and Exit Signals:
Entry Condition: A long trade is triggered when the oscillator changes from red to green .
Exit Condition: A long trade exit is triggered when the oscillator changes from green to red .
Dynamic PnL Calculation:
Automatically calculates profit or loss in percentage (%) when a trade is exited.
Positive PnL values are prefixed with `+`, and negative values are shown as `-`.
Clear Visualization:
Bar chart-style oscillator in a separate pane for better trend visualization.
Trade labels on the main price chart for clear entry and exit points.
Inputs
Short-Term Momentum Parameters:
Short - L1: Length of the first EMA for short-term momentum calculations.
Short - L2: Length of the second EMA for short-term momentum calculations.
Short - L3: RSI smoothing period applied to the short-term momentum.
Long-Term Momentum Parameters:
Long - L1: Length of the EMA for long-term momentum calculations.
Long - L2: RSI smoothing period applied to the long-term momentum.
Entry and Exit Logic
Entry Condition:
A long trade is triggered when:
The BX-Trender Oscillator changes from red to green .
This shift indicates bullish momentum.
Exit Condition:
A long trade exit is triggered when:
The BX-Trender Oscillator changes from green to red .
This shift indicates a loss of bullish momentum or the start of bearish momentum.
PnL Calculation:
When exiting a trade, the indicator calculates the profit or loss as a percentage of the entry price.
Example:
A profit is displayed as +5.67% .
A loss is displayed as -3.21% .
Visualization
Oscillator Bars:
Green Bars: Represent increasing bullish momentum.
Light Green Bars: Represent weakening bullish momentum.
Red Bars: Represent increasing bearish momentum.
Light Red Bars: Represent weakening bearish momentum.
Just make sure that you checked off the B-Xtrend oscillator off from the style so chart can be active
Trade Labels:
Entry Labels: Displayed below the candle with the text Entry, long .
Exit Labels: Displayed above the candle with the text Exit .
Bar Chart Pane:
The oscillator is displayed in a separate pane for clear trend visualization.
Default Style
Oscillator Colors:
Green for bullish momentum.
Red for bearish momentum.
Light green and light red for weaker momentum.
Trade Labels:
Green labels for entries.
Red labels for exits, with percentage PnL displayed.
Use Cases
Momentum-Based Entries:
Detects shifts in momentum from bearish to bullish for precise trade entry points.
Trend Reversal Detection:
Identifies when bullish momentum weakens, signaling an exit opportunity.
Visual Simplicity:
Offers an intuitive way to track trends with its bar chart-style oscillator and clear trade labels.
This indicator doesn't indicate that it will work perfectly. More updates on the way.
B-Xtrender Simplified-BUY/SELL print Thanks to @puppytherapy for creating the original B-Xtrender indicator, available at this link: B-Xtrender by Puppytherapy.
This is a modified version of the original script, which now includes Buy and Sell arrows directly plotted on the chart for clear entry signals. The core logic of the indicator remains intact, with enhancements for simplicity and usability.
Overview:
The B-Xtrender Simplified indicator is a trend-following tool designed to identify potential buy and sell opportunities based on momentum and trend confluence. It combines short-term and long-term RSI-based oscillators with exponential moving averages to detect trend shifts and provide clear, actionable signals on the chart.
This simplified version focuses on clean visuals and provides buy and sell signals using arrows, ensuring an uncluttered chart. The indicator is suitable for traders who want a straightforward tool to assist with entry signals in trending markets.
Key Components:
Short-Term Oscillator:
Measures short-term momentum using the RSI of the difference between two EMAs (Short - L1 and Short - L2).
Provides early signals for trend reversals and momentum shifts.
Long-Term Oscillator:
Evaluates broader trend strength using the RSI of a single EMA (Long - L1).
Acts as a filter to ensure signals align with the overall market trend.
Smoothed Oscillator (T3):
Applies a smoothing algorithm to the short-term oscillator to reduce noise.
Ensures the signals are more reliable and less prone to false alarms.
How It Works:
Buy Signal (Green Arrow Below Candles):
Triggered when:
The short-term oscillator is above 0 (indicating upward momentum).
The smoothed short-term oscillator (maShortTermXtrender) is rising (momentum confirmation).
The long-term oscillator is above 0 (trend confirmation).
Sell Signal (Red Arrow Above Candles):
Triggered when:
The short-term oscillator is below 0 (indicating downward momentum).
The smoothed short-term oscillator (maShortTermXtrender) is falling (momentum confirmation).
The long-term oscillator is below 0 (trend confirmation).
Alerts:
Buy and sell signals generate alerts for traders to take immediate action when conditions are met.
Customization Options:
Short-Term Parameters:
Short - L1, Short - L2, Short - L3 control the responsiveness of the short-term oscillator.
Long-Term Parameters:
Long - L1, Long - L2 adjust the sensitivity of the long-term trend filter.
Default values ensure the indicator works effectively in most market conditions, but they can be fine-tuned for specific instruments or timeframes.
Strengths:
Clarity: Uses clean buy/sell arrows for visual simplicity.
Confluence-Based: Ensures alignment between short-term momentum and long-term trend before signaling.
Real-Time Alerts: Alerts for both buy and sell signals allow for timely decision-making.
Usage Tips:
Confirm Trend:
Use the indicator on a higher timeframe (e.g., 1-hour or daily) to confirm the overall trend direction.
Combine with Other Tools:
Enhance accuracy by combining the indicator with support/resistance levels, volume analysis, or other technical indicators.
Risk Management:
Always use stop-loss orders to protect against adverse market movements.
Maintain a risk-to-reward ratio of at least 1:2.
Ideal For:
Traders seeking clear and straightforward entry signals.
Trend-following strategies in liquid markets.
Beginners who want an easy-to-interpret tool for identifying momentum-based trades.
This simplified version of the B-Xtrender retains the original power of the indicator while focusing on clean visuals and actionable signals for trend-following traders.
Adaptive Linear Regression ChannelOverview
The Adaptive Linear Regression Channel Script is an advanced, multi-functional trading tool crafted to help traders pinpoint market trends, identify potential reversals, assess volatility, and establish dynamic levels for profit-taking and position exits. By incorporating key concepts such as linear regression , standard deviation , and other volatility measures like the ATR , the script offers a comprehensive view of market behavior beyond traditional deviation metrics.
This dynamic model continuously adapts to changing market conditions, adjusting in real-time to provide clear visualizations of trends, channels, and volatility levels. This adaptability makes the script invaluable for both trend-following and counter-trend strategies, giving traders the flexibility to respond effectively to different market environments.
Background
What is Linear Regression?
Definition : Linear regression is a statistical technique used to model the relationship between a dependent variable (target) and one or more independent variables (predictors).
In its simplest form (simple linear regression), the relationship between two variables is represented by a straight line (the regression line).
y = mx + b
where :
- y is the target variable (price)
- m is the slope
- x is the independent variable (time)
- b is the intercept
Slope of the Regression Line
Definition: The slope (m) measures the rate at which the dependent variable (y) changes as the independent variable (x) changes.
Interpretation:
- A positive slope indicates an uptrend.
- A negative slope indicates a downtrend.
Uses in Trading:
- Identifying the strength and direction of market trends.
- Assessing the momentum of price movements.
R-squared (Coefficient of Determination)
Definition: A measure of how well the regression line fits the data, ranging from 0 to 1.
Calculation :
R2 = 1− (SS tot/SS res)
where:
- SSres is the sum of squared residuals.
- SStot is the total sum of squares.
Interpretation:
- Higher R2 indicates a better fit, meaning the model explains a larger proportion of the variance in the data.
Uses in Trading:
- Higher R-squared values give traders confidence in trend-based signals.
- Low R-squared values may suggest that the market is more random or volatile.
Standard Deviation
Definition: Standard Deviation quantifies the dispersion of data points in a dataset relative to the mean. A low standard deviation indicates that data points tend to be close to the mean, while a high standard deviation indicates that the data points are spread out over a larger range of values.
Calculation
σ=√∑(xi−μ)2/N
Where
- σ is the standard deviation.
- ∑ is the summation symbol, indicating that the expression that follows should be summed over all data points.
- xi, this represents the i-th data point in the dataset.
- μ\mu, this represents the mean(average) of all the data points in the dataset.
- (xi−μ)2, this is the squared difference between each data point and the mean.
- N is the total number of data points in the dataset.
- **Interpretation**
- A higher standard deviation indicates greater volatility.
- Useful for identifying overbought/oversold conditions in markets.
Key Features
Dynamic Linear Regression Channels:
The script automatically generates adaptive regression channels that expand or contract based on the current market volatility. This real-time adjustment ensures that traders are always working with the most relevant data, making it easier to spot key support and resistance levels.
The channel width itself serves as an indicator of market volatility, expanding during periods of heightened uncertainty and contracting during more stable phases. Additionally, the channel width is trained on previous channel widths , allowing the script to adapt and provide a more accurate view of volatility trends of the asset. Traders can also customize the script to train on less historical data , enabling a more recent view of volatility , which is particularly useful in fast-moving or changing markets.
Dynamic Profits and Stops:
What is it?
Dynamic profit levels allow traders to adjust take-profit targets based on real-time market conditions. Unlike static levels, which remain fixed regardless of market changes, these adaptive levels leverage past volatility data to create more flexible profit-taking strategies.
How does it work?
The script determines these levels using previously stored deviation values. These deviations are categorized into quantiles (like Q1, Q2, Q3, etc.) to classify current market conditions. As new deviation data is recorded, the profit levels are adjusted dynamically to reflect changes in market volatility. This approach helps to refine profit targets, especially when using regression channels with standard deviation rather than traditional ATR bands.
Why is it valuable?
By utilizing adaptive profit levels, traders can optimize their exits based on the current volatility landscape. For instance, when volatility increases, the dynamic levels expand, allowing trades to capture larger price movements. Conversely, during low volatility, profit targets tighten to lock in gains sooner, reducing exposure to market reversals. This flexibility is especially beneficial when combined with adaptive regression channels that respond to changes in standard deviation.
Slope-Based Trend Analysis:
One of the core elements of this script is the slope of the regression line , which helps define the direction and strength of the trend. Positive slopes indicate bullish momentum, while negative slopes suggest bearish conditions. The slope's steepness gives traders insight into the market's momentum, allowing them to adjust their strategies based on the strength of the trend.
Additionally, the script uses the slope to create a color gradient , which visually represents the intensity of the market's momentum. The gradient peaks at one color to show the maximum bullish momentum experienced in the past, while another color represents the maximum bearish momentum experienced in the past. This color-coded visualization makes it easier for traders to quickly assess the market's strength and direction at a glance.
Volatility Heatmap:
The integrated heatmap provides an intuitive, color-coded visualization of market volatility. The heatmap highlights areas where price action is expanding or contracting, giving traders a clear view of where volatility is rising or falling. By mapping out deviations from the regression line, the heatmap makes it easier to spot periods of high volatility that could lead to major market moves or potential reversals.
Deviation Concepts:
The script tracks price deviations from the regression line when a new range is formed, providing valuable insights when the price significantly deviates from the expected trend. These deviations are key in identifying potential breakout points or trend shifts .
This helps traders understand when the market is overextended or when a pullback may be imminent, allowing them to make more informed trading decisions.
Adaptive Model Properties:
Unlike static indicators, this script adapts over time . As the market changes, it stores historical data related to channel widths , slope dynamics , and volatility levels , adjusting its analysis accordingly to stay relevant to current market conditions.
Traders have the ability to train the model on all available data or specify a set number of bars to focus on more recent market activity. This flexibility allows for more tailored analysis , ensuring that traders can work with data that best fits their trading style and time horizon.
This continuous learning approach ensures that traders always have the most up-to-date insight into the market's structure.
Table
The table displays key metrics in real time to provide deeper insights into market behavior:
1. Deviation & Slope : Shows the current deviation if set to standard deviation or atr if set to atr(values used to calculated the channel widths) and the trend slope, helping to gauge market volatility and trend direction.
2. Rate of Change : For both deviation/atr and slope, the table also calculates the rate of change of their rates—essentially capturing the acceleration or deceleration of trends and volatility. This helps identify shifts in market momentum early.
3. R-squared : Indicates the strength and reliability of the trend fit. A higher value means the regression line better explains the price movements.
4. Quantiles : Uses historical deviation data to categorize current market conditions into quartiles (e.g., Q1, Q2, Q3). This helps classify the market's current volatility level, allowing traders to adjust strategies dynamically.
By combining these metrics, the table offers a comprehensive, real-time snapshot of market conditions, enabling more informed and adaptive trading decisions.
Settings
Here’s a breakdown of the script's settings for easy reference:
Linear Regression Settings
Show Dynamic Levels :Toggle to display dynamic profit levels on the chart.
Deviation Type :Select the method for calculating deviation—options include ATR (Average True Range) or Standard Deviation.
Timeframe :Sets the specific timeframe for the regression analysis (default is the chart’s timeframe).
Period :Defines the number of bars used for calculating the regression line (e.g., 50 bars).
Deviation Multiplier :Multiplier used to adjust the width of the deviation channel around the regression line.
Rate of Change :Sets the period for calculating the rate of change of the slope (used for momentum analysis).
Max Bars Back :Limits the number of historical bars to analyze (0 means all available data).
Slope Lookback :Number of bars used to calculate the slope gradient for trend detection.
Slope Gradient Display :Toggle to enable gradient coloring based on slope direction.
Slope Gradient Colors :Set colors for positive and negative slopes, respectively.
Slope Fill :Adjusts the transparency of the slope gradient fill.
Volatility Gradient Display :Toggle to enable gradient coloring based on volatility levels.
Volatility Gradient Colors :Set colors for low and high volatility, respectively.
Volatility Fill :Adjusts the transparency of the volatility gradient fill.
Table Settings
Show Table :Toggle to display the metrics table on the chart.
Table Position :Choose where to position the table (e.g., top-right, middle-center, etc.).
Font Size :Set the size of the text in the table. Options include Tiny, Small, Normal, Large, and Huge.
IlluminateThe Illuminate script predicts the potential range of Bitcoin's top and bottom prices based on a logarithmic regression model, referencing Bitcoin's historical price trends and halvings. This script is designed to provide valuable insights into Bitcoin's price dynamics and long-term trends using principles derived from the "Bitcoin Law."
Key Features
Power Law Trend Lines
Primary Trend:
Projects the general growth trajectory of Bitcoin prices over time based on a logarithmic power law.
Resistance Line:
Identifies a potential upper limit of Bitcoin prices during market peaks.
Includes an offset trendline for an additional buffer zone.
Support Line:
Represents a possible bottom for Bitcoin prices during market downturns.
Offset trendlines highlight potential zones of price fluctuation near the support line.
Fill Zones:
Between resistance and offset: Semi-transparent Red.
Between support and offset: Semi-transparent Green/Blue.
Bitcoin Halving Events
Automatically marks significant Bitcoin halving dates with yellow vertical lines and labeled annotations.
Current and future halvings (approximate) are included.
Trending Phase Indication
A dynamic visual color fill highlights different phases of Bitcoin's price evolution based on a 4-year cycle.
Colors: Red, Green, Blue, Orange (indicating each phase).
"Trending Phase" label provides insight into the current phase.
Interactive Inputs
Show/Hide Resistance: Toggle resistance trend lines.
Show/Hide Support: Toggle support trend lines.
Show/Hide Halving Dates: Toggle visibility of halving annotations.
Customizable Parameters
Fine-tune parameters (A and n) for the main trend line to match your analysis needs.
How to Use
Overlay Analysis:
Add this script to your TradingView chart for direct overlay on Bitcoin's price data.
Interpret the Zones:
Use the resistance and support lines as potential upper and lower bounds for price movements.
Analyze fill zones for areas of likely price oscillation.
Halving Significance:
Observe price behavior before and after halving dates, which historically influence market trends.
Long-Term Perspective:
The model is optimized for long-term projections, making it suitable for strategic, rather than short-term, trading decisions.
Disclaimer:
This indicator is for educational purposes only and should not be used as investment advice. Always do your own research and consult with a financial advisor before making trading decisions.
Infinity Market Grid -AynetConcept
Imagine viewing the market as a dynamic grid where price, time, and momentum intersect to reveal infinite possibilities. This indicator leverages:
Grid-Based Market Flow: Visualizes price action as a grid with zones for:
Accumulation
Distribution
Breakout Expansion
Volatility Compression
Predictive Dynamic Layers:
Forecasts future price zones using historical volatility and momentum.
Tracks event probabilities like breakout, fakeout, and trend reversals.
Data Science Visuals:
Uses heatmap-style layers, moving waveforms, and price trajectory paths.
Interactive Alerts:
Real-time alerts for high-probability market events.
Marks critical zones for "buy," "sell," or "wait."
Key Features
Market Layers Grid:
Creates dynamic "boxes" around price using fractals and ATR-based volatility.
These boxes show potential future price zones and probabilities.
Volatility and Momentum Waves:
Overlay volatility oscillators and momentum bands for directional context.
Dynamic Heatmap Zones:
Colors the chart dynamically based on breakout probabilities and risk.
Price Path Prediction:
Tracks price trajectory as a moving "wave" across the grid.
How It Works
Grid Box Structure:
Upper and lower price levels are based on ATR (volatility) and plotted dynamically.
Dashed green/red lines show the grid for potential price expansion zones.
Heatmap Zones:
Colors the background based on probabilities:
Green: High breakout probability.
Blue: High consolidation probability.
Price Path Prediction:
Forecasts future price movements using momentum.
Plots these as a dynamic "wave" on the chart.
Momentum and Volatility Waves:
Shows the relationship between momentum and volatility as oscillating waves.
Helps identify when momentum exceeds volatility (potential breakouts).
Buy/Sell Signals:
Triggers when price approaches grid edges with strong momentum.
Provides alerts and visual markers.
Why Is It Revolutionary?
Grid and Wave Synergy:
Combines structural price zones (grid boxes) with real-time momentum and volatility waves.
Predictive Analytics:
Uses momentum-based forecasting to visualize what’s next, not just what’s happening.
Dynamic Heatmap:
Creates a living map of breakout/consolidation zones in real-time.
Scalable for Any Market:
Works seamlessly with forex, crypto, and stocks by adjusting the ATR multiplier and box length.
This indicator is not just a tool but a framework for understanding market dynamics at a deeper level. Let me know if you'd like to take it even further — for example, adding machine learning-inspired probability models or multi-timeframe analysis! 🚀
