Simplified Momentum ScoreIndicator Name: Simplified Momentum Score
Description:
The Simplified Momentum Score indicator calculates the normalized price momentum of an asset over a user-defined period (e.g., 30 days). It provides a single actionable score between 0 and 1, making it easy to compare the relative strength of different tokens or assets:
1: Strongest momentum (best performer).
0: Weakest momentum (worst performer).
How to Use:
Apply this indicator to any chart in TradingView.
Use the normalized score to rank tokens or assets:
Closer to 1: Indicates strong recent price performance.
Closer to 0: Indicates weak recent price performance.
Customize the momentum period to match your trading strategy.
This tool is ideal for quick comparative analysis of multiple tokens to identify top-performing assets. Keep it simple, actionable, and effective! 🚀
在腳本中搜尋"momentum"
Relative Momentum StrengthThe Relative Momentum Strength (RMS) indicator is designed to help traders and investors identify tokens with the strongest momentum over two customizable timeframes. It calculates and plots the percentage price change over 30-day and 90-day periods (or user-defined periods) to evaluate a token's relative performance.
30-Day Momentum (Green Line): Short-term price momentum, highlighting recent trends and movements.
90-Day Momentum (Blue Line): Medium-term price momentum, providing insights into broader trends.
This tool is ideal for comparing multiple tokens or assets to identify those showing consistent strength or weakness. Use it to spot outperformers and potential reversals in a competitive universe of assets.
How to Use:
Apply this indicator to your TradingView chart for any token or asset.
Look for tokens with consistently high positive momentum for potential strength.
Use the plotted values to compare relative performance across your watchlist.
Customization:
Adjust the momentum periods to suit your trading strategy.
Overlay it with other indicators like RSI or volume for deeper analysis.
Dual Timeframe Stochastic Momentum Index w/buy sell signalsThis indicator combines momentum analysis across two timeframes to identify high-probability trading opportunities. It plots the Stochastic Momentum Index (SMI) for both the chart timeframe and a higher timeframe (default 10 minutes) to help traders align with the broader market trend.
Key Features
Displays SMI and its EMA for both timeframes
Background shading indicates favorable trading conditions
Signal dots mark potential entry points
Customizable parameters for fine-tuning
Signals Explained
Bullish Signals (Green Dots)
Appear when the chart timeframe SMI crosses above its EMA
Only trigger during periods when the higher timeframe shows:
SMI is above its EMA (increasing momentum)
SMI is between -40 and +40 (not overbought/oversold)
Bearish Signals (Red Dots)
Appear when the chart timeframe SMI crosses below its EMA
Only trigger during periods when the higher timeframe shows:
SMI is below its EMA (decreasing momentum)
SMI is between -40 and +40 (not overbought/oversold)
Settings
%K Length: Lookback period for SMI calculation (default: 10)
%D Length: Smoothing period for primary calculation (default: 3)
EMA Length: Smoothing period for signal line (default: 3)
Alternative Timeframe: Higher timeframe for trend analysis (default: 10 minutes)
Best Practices
Use higher timeframe signals to determine market bias
Wait for signal dots in the chart timeframe for entry timing
Avoid trades when higher timeframe SMI is in extreme zones (above 40 or below -40)
Consider additional confirmation from price action or other indicators
Note: This indicator combines trend and momentum analysis but should be used as part of a complete trading strategy that includes proper risk management.
Inner Bar Strength (IBS)Inner Bar Strength (IBS) Indicator
The Inner Bar Strength (IBS) indicator is a technical analysis tool designed to measure the position of the closing price relative to the day's price range. It provides insights into market sentiment by indicating where the close occurs within the high and low of a specific timeframe. The IBS value ranges from 0 to 1, where values near 1 suggest bullish momentum (close near the high), and values near 0 indicate bearish momentum (close near the low).
How It Works
The IBS is calculated using the following formula:
IBS = (Close−Low) / (High−Low)
IBS = (High−Low) / (Close−Low)
Close: Closing price of the selected timeframe.
Low: Lowest price of the selected timeframe.
High: Highest price of the selected timeframe.
The indicator allows you to select the timeframe for calculation (default is daily), providing flexibility to analyze different periods based on your trading strategy.
Key Features
Inner Bar Strength (IBS) Indicator
The Inner Bar Strength (IBS) indicator is a technical analysis tool designed to measure the position of the closing price relative to the day's price range. It provides insights into market sentiment by indicating where the close occurs within the high and low of a specific timeframe. The IBS value ranges from 0 to 1, where values near 1 suggest bullish momentum (close near the high), and values near 0 indicate bearish momentum (close near the low).
How It Works
The IBS is calculated using the following formula:
IBS=Close−LowHigh−Low
IBS=High−LowClose−Low
Close: Closing price of the selected timeframe.
Low: Lowest price of the selected timeframe.
High: Highest price of the selected timeframe.
The indicator allows you to select the timeframe for calculation (default is daily), providing flexibility to analyze different periods based on your trading strategy.
Key Features
Timeframe Selection: Customize the timeframe to daily, weekly, monthly, or any other period that suits your analysis.
Adjustable Thresholds: Input fields for upper and lower thresholds (defaulted at 0.9 and 0.1) help identify overbought and oversold conditions.
Visual Aids: Dashed horizontal lines at the threshold levels make it easy to visualize critical levels on the chart.
How to Use the IBS Indicator
When the IBS value exceeds the upper threshold (e.g., 0.9), it suggests the asset is closing near its high and may be overbought.
When the IBS value falls below the lower threshold (e.g., 0.1), it indicates the asset is closing near its low and may be oversold.
Use RSI to confirm overbought or oversold conditions identified by the IBS.
Incorporate moving averages to identify the overall trend and filter signals.
High trading volume can strengthen signals provided by the IBS.
If the price is making lower lows while the IBS is making higher lows, it may signal a potential upward reversal.
If the price is making higher highs and the IBS is making lower highs, a downward reversal might be imminent.
Conclusion
The Inner Bar Strength (IBS) indicator is a valuable tool for traders seeking to understand intraday momentum and potential reversal points. By measuring where the closing price lies within the day's range, it provides immediate insights into market sentiment. When used alongside other technical analysis tools, the IBS can enhance your trading strategy by identifying overbought or oversold conditions, confirming breakouts, and highlighting potential divergence signals.
SX SR & MomentumThis script is a custom technical indicator for TradingView called "SX SR & Momentum" which combines support/resistance levels with enhanced momentum oscillation and a stochastic RSI. Here’s a breakdown of the script’s main components:
1. Core Calculations and Utility Functions
Stochastic RSI: Combines RSI and stochastic calculations, creating a smoothed stochastic signal for overbought and oversold levels.
Ehlers Super Smoother Filter: Smooths the stochastic output, reducing noise for a clearer trend.
Momentum Calculation: This momentum oscillator uses the difference between two exponential moving averages (EMAs) to signal positive or negative trends.
2. Input Parameters
Customizable inputs for:
Smoothing values for K and D lines in the stochastic RSI.
RSI length and stochastic length.
Choice of a higher timeframe for the momentum oscillator (default: 240 min).
3. Plotting and Visual Enhancements
Stochastic RSI: Plots K and D lines, colored for easy visualization, with overbought and oversold levels.
Momentum Histogram: Plots a momentum oscillator with a 3D and glow effect for visual emphasis.
Positive values are shown in green shades, and negative values in red shades, with a subtle glow effect to highlight stronger trends.
Gradient Background: The overbought/oversold zones are visually enhanced with gradient backgrounds.
4. Timeframe Adjustment for Momentum Oscillator
The script allows users to select a timeframe specifically for the momentum oscillator, enabling multi-timeframe analysis directly on the chart.
This indicator could be useful for identifying momentum shifts, support and resistance levels, and potential overbought/oversold conditions with improved readability. The 3D and glow effects add a unique visual dimension, making it easier to interpret changes in momentum at a glance.
Adaptive Momentum For Loop Volatility | viResearchAdaptive Momentum For Loop Volatility | viResearch
Conceptual Foundation and Innovation
The "Adaptive Momentum For Loop Volatility" script introduces an innovative approach to momentum and volatility analysis by combining a for-loop system with adaptive momentum calculations. This method leverages a dynamic scoring mechanism within a volatility-based framework, allowing traders to capture trend shifts with sensitivity to recent market volatility. By adapting to changes in price movement, the script provides signals that are both trend-following and volatility-aware.
The script also integrates an Adaptive Trailing Stop feature, which uses an ATR-based volatility stop to dynamically track the trend. This approach is designed to assist traders in positioning themselves effectively during trending markets while staying protected by an adaptive trailing stop when the trend shows signs of reversal.
Technical Composition and Calculation
The "Adaptive Momentum For Loop Volatility" script comprises several technical components to create a responsive momentum and volatility indicator:
Adaptive For-Loop Scoring System: A custom for-loop scoring system evaluates the subject price (typically the close) over a defined range. The loop checks for conditions indicating upward or downward momentum, adjusting the score accordingly. The score then serves as the volatility multiplier for the ATR-based stop.
Volatility Stop Calculation: An ATR-based trailing stop is calculated based on the adaptive score. The stop adjusts in response to the latest score, allowing it to move closer to or further from the price depending on the current volatility.
Range Plot: The script includes an upper and lower boundary based on a percentage deviation from a moving average, giving a sense of possible price movement within the range. This additional visual aid helps traders identify potential overextension points within the trend.
Features and User Inputs
The script includes several customizable inputs, allowing traders to tailor the indicator to specific assets and market conditions:
Length: Controls the period used for the ATR calculation, affecting the responsiveness of the stop. Multiplier: Adjusts the volatility stop’s sensitivity based on recent price action. Percentage for Range Plot: Defines the width of the range plotted around the moving average, offering insights into expected price deviations. Adaptive Scoring Parameters: The for-loop’s scoring range (variables a and b) can be adjusted to fine-tune momentum detection. Alert and Bar Color Customization: Alerts are provided to notify the user of long and short signals. The background and bar colors visually indicate current trend direction.
Practical Applications
This script is ideal for traders who wish to capture both trend and volatility in their trading strategies. Key applications include:
Trend Confirmation and Reversal Detection: The volatility-based stop helps confirm trend direction, making it easier to spot potential reversals.
Adaptive Trailing Stop: The ATR stop protects gains by adjusting dynamically as the market’s volatility changes. Traders can use this feature to manage risk and secure profits in trending markets.
Range Bound Trading: The range plot highlights potential overbought and oversold levels, making it useful for identifying when prices are likely to revert to the mean.
Advantages and Strategic Value
The "Adaptive Momentum For Loop Volatility" script provides a unique blend of momentum and volatility analysis, offering an edge over traditional indicators. Its adaptive nature helps traders stay in trades during strong trends and exit promptly during reversals, reducing exposure to adverse price movements. The customizable parameters make it versatile and adaptable to various asset classes and market conditions.
Summary and Usage Tips
Incorporate the "Adaptive Momentum For Loop Volatility" script into your trading system to enhance trend analysis and risk management. Use the for-loop scoring system to detect early momentum shifts, and rely on the volatility stop to maintain a position until the trend shows signs of exhaustion. Adjust the range plot settings to suit the asset’s typical price movements for a more accurate portrayal of expected price fluctuations. Remember, backtesting across different market conditions is essential to understanding how the script performs and adapting it as needed.
As with all indicators, note that historical results are not indicative of future performance, so complement this tool with other market insights to make well-rounded trading decisions.
Trend, Momentum and Price value analysis [deepakks444]Trend, Momentum, and Price Value Analysis
This indicator combines several key technical analysis tools to help traders evaluate the market's trend strength, momentum, and overall price behavior. It uses a variety of signals to generate a "Buy," "Sell," or "No Clear Indication" based on multiple indicators and plots them directly on the chart. A customizable table also summarizes these signals, making it easy to interpret the market conditions in real-time.
Key Features:
VWAP (Volume-Weighted Average Price): Indicates whether the price is above or below the VWAP line, helping to identify buying or selling opportunities based on fair value.
Alligator Indicator: Utilizes three simple moving averages (SMAs) to track trend direction, providing a clear "Buy" or "Sell" signal when the averages are aligned.
Supertrend: A widely-used trend-following indicator, this script identifies potential buy or sell zones based on the price's relationship with the Supertrend line.
20-period Moving Average (MA): A simple moving average to track the overall trend direction. The signal is based on the price crossing above or below the MA.
ADX (Average Directional Index): Measures the strength of the trend. A reading above 25 indicates a "Buy" signal, while a reading below suggests a "Sell."
RSI (Relative Strength Index): Generates a buy signal when RSI exceeds 60 and a sell signal when it drops below 40. Values between 40 and 60 indicate a neutral condition.
MACD (Moving Average Convergence Divergence): Provides a signal for buying when the MACD line crosses above the signal line, and selling when it crosses below.
Volume Signal: Compares current volume against the 20-period moving average to identify significant volume spikes. This helps in determining if the market is supported by strong volume.
Customization Options:
Moving Average Length: Customize the 20-period MA length to better fit your trading style or the asset you’re analyzing.
Supertrend Settings: Adjust the Supertrend factor and ATR period for different timeframes or volatility environments.
Table Position: Customize where the signal table is displayed on the chart (Top Right, Top Left, Bottom Right, or Bottom Left).
Table Appearance: Set the table background color and choose between small or tiny text size for better readability.
Signal Summary:
The indicator computes a combined signal based on the number of "Buy" or "Sell" signals from the individual indicators. If 5 or more indicators suggest a "Buy" or "Sell," the table will display a combined signal for easier decision-making. This feature consolidates the signals into one straightforward output, helping you filter noise and act on clear trends.
Table Display:
The customizable table organizes the signals of the key indicators, showing:
Indicator: Lists all the indicators in use, such as VWAP, Alligator, Supertrend, etc.
Signal: Displays "Buy," "Sell," or "Neutral" for each indicator based on the current market conditions.
Intended Use:
This script is designed to help traders monitor multiple technical indicators at once, giving them a clearer view of the market’s trend strength, momentum, and volatility. While it simplifies the process of interpreting various signals, users should use it in combination with their own research and risk management strategies.
Disclaimer: This script is for educational purposes only and should not be considered financial advice. All trading involves risk, and the performance of an indicator in the past does not guarantee future results. Always perform due diligence and use proper risk management techniques.
3 days ago
Release Notes
A "Buy" triangle is plotted below the bar if the signal changes to "Buy".
A "Sell" triangle is plotted above the bar if the signal changes to "Sell".
Script Name: Trend, Momentum, and Price Value Analysis
The Trend, Momentum, and Price Value Analysis script provides a multi-faceted approach to market analysis, combining several technical indicators into a single tool. This script offers an easy-to-interpret table summarizing various indicator signals, along with visual buy/sell signals on the chart.
Key Features:
VWAP (Volume Weighted Average Price):
The VWAP provides insights into whether the current price is above or below the average weighted price, helping traders identify potential buy or sell opportunities.
Alligator Indicator (Simplified):
Using three simple moving averages (SMAs), this tool helps identify the beginning of trends and potential buy/sell zones based on the Alligator jaw, teeth, and lips.
Supertrend:
A trend-following indicator that determines whether the market is in a bullish or bearish phase based on ATR and factor inputs. The Supertrend line is plotted on the chart.
20-period Moving Average (MA):
A basic moving average that assists in gauging price direction and the overall trend.
ADX (Average Directional Index):
Helps identify the strength of a trend. A value above 25 indicates a strong trend.
RSI (Relative Strength Index):
Measures momentum by identifying overbought and oversold conditions. A signal is triggered when RSI is above 60 (buy) or below 40 (sell).
MACD (Moving Average Convergence Divergence):
A momentum indicator that provides signals when the MACD line crosses the signal line.
Volume Signal:
Compares the current volume with a 20-period average to determine if volume supports the current trend direction.
Signal Table:
A table is generated on the chart, displaying real-time signals from each of the above indicators. The table is customizable with background colors and text sizes.
The position of the table can be set to any corner of the chart for convenience.
Combined Signal Logic:
The script calculates a Combined Signal based on the majority of buy or sell signals across all the indicators. If 5 or more indicators give a buy or sell signal, a combined signal is generated.
Buy/Sell Signal Plots:
The script plots buy (green triangle) and sell (red triangle) signals on the chart based on the combined signal when transitioning from a previous opposite signal.
Customizable Inputs:
Users can customize the length of the moving averages, adjust the background and text colors of the table, and choose the position of the table on the chart.
Multi-Asset Cross Timeframe Divergence Ind. (MACDI) // AlgoFyreThe Multi-Asset Cross Timeframe Divergence Indicator (MACDI) identifies divergences in momentum like RSI across multiple assets and timeframes. It visually highlights lagging correlated asset momentum divergences, helping traders spot inefficiencies and potential trade opportunities in the following asset.
🔶 KEY FEATURES
🔸Average Momentum Trendline for Each Timeframe
The Average Momentum Trendline feature calculates the average momentum of multiple assets over specified timeframes. It uses smoothed values to determine the momentum trend for each timeframe on the average aggregated momentum of both assets. This trendline helps traders identify the overall direction of the market momentum, providing a clearer picture of potential price movements.
🔸Real-time Divergence Indication and Alert Table
The Real-time Divergence Indications and Alert Table feature visualizes detected divergences between the momentum values of the two assets across different timeframes. It identifies both bullish and bearish divergences, signaling lagging reversals in the the following asset and potential trading opportunities. When a divergence is detected, the system generates real-time visual indications on the chart and in an overview table for traders to act promptly. The alert table provides a comprehensive overview of all detected divergences, making it easier for traders to monitor and respond to market changes.
🔸Color and Size Based Labels on Price Chart based on Divergence Type
The Color and Size Based Labels feature visually represents divergences directly on the price chart. Bullish and bearish divergences are marked with distinct colors and sizes, making them easily identifiable at a glance. Larger labels indicate higher timeframes and thus generally more significance.
🔶 INSTRUCTION GUIDELINES
🔸Identify Divergence Clusters
The more divergences align, the higher the probability of a potential trend reversal in the asset. When multiple multi-timeframe divergences occur in both lower and higher timeframes within a local cluster, the probability of a reversal increases. This is valid for both for bullish and bearish divergences.
🔸Spot Low Probability Divergences
To further increase the probability, analyze the current state of the average momentum trendline. For a bullish reversal, a relatively low level of the average momentum trendline is preferred, whereas for a bearish reversal, a relatively high level is preferred.
🔶 INDIVIDUAL CONFIGURATION
🔸Leading Asset
This input allows the user to select the leading asset for the divergence analysis.
🔸Following Asset
This input allows the user to select the following asset for the divergence analysis.
🔸Higher Timeframe
This input sets the higher timeframe for the analysis.
🔸Lower Timeframe
This input sets the lower timeframe for the analysis.
🔸Show RSI Divergence
This input enables or disables the display of RSI divergence signals.
🔸RSI Length
This input sets the length of the RSI calculation.
🔸RSI Source
This input sets the source data for the RSI calculation (e.g., close price).
🔸RSI Smoothing Length
This input sets the length of the smoothing applied to the RSI values.
🔸Smoothing Method
This input sets the method used for smoothing the RSI values.
🔶 CONCLUSION
The Multi-Asset Cross Timeframe Divergence Indicator (MACDI) is a powerful tool for identifying momentum divergences across multiple assets and timeframes. Its visual cues and customizable table make it easy to use and interpret, providing valuable insights for trading decisions.
Six PillarsGeneral Overview
The "Six Pillars" indicator is a comprehensive trading tool that combines six different technical analysis methods to provide a holistic view of market conditions.
These six pillars are:
Trend
Momentum
Directional Movement (DM)
Stochastic
Fractal
On-Balance Volume (OBV)
The indicator calculates the state of each pillar and presents them in an easy-to-read table format. It also compares the current timeframe with a user-defined comparison timeframe to offer a multi-timeframe analysis.
A key feature of this indicator is the Confluence Strength meter. This unique metric quantifies the overall agreement between the six pillars across both timeframes, providing a score out of 100. A higher score indicates stronger agreement among the pillars, suggesting a more reliable trading signal.
I also included a visual cue in the form of candle coloring. When all six pillars agree on a bullish or bearish direction, the candle is colored green or red, respectively. This feature allows traders to quickly identify potential high-probability trade setups.
The Six Pillars indicator is designed to work across multiple timeframes, offering a comparison between the current timeframe and a user-defined comparison timeframe. This multi-timeframe analysis provides traders with a more comprehensive understanding of market dynamics.
Origin and Inspiration
The Six Pillars indicator was inspired by the work of Dr. Barry Burns, author of "Trend Trading for Dummies" and his concept of "5 energies." (Trend, Momentum, Cycle, Support/Resistance, Scale) I was intrigued by Dr. Burns' approach to analyzing market dynamics and decided to put my own twist upon his ideas.
Comparing the Six Pillars to Dr. Burns' 5 energies, you'll notice I kept Trend and Momentum, but I swapped out Cycle, Support/Resistance, and Scale for Directional Movement, Stochastic, Fractal, and On-Balance Volume. These changes give you a more dynamic view of market strength, potential reversals, and volume confirmation all in one package.
What Makes This Indicator Unique
The standout feature of the Six Pillars indicator is its Confluence Strength meter. This feature calculates the overall agreement between the six pillars, providing traders with a clear, numerical representation of signal strength.
The strength is calculated by considering the state of each pillar in both the current and comparison timeframes, resulting in a score out of 100.
Here's how it calculates the strength:
It considers the state of each pillar in both the current timeframe and the comparison timeframe.
For each pillar, the absolute value of its state is taken. This means that both strongly bullish (2) and strongly bearish (-2) states contribute equally to the strength.
The absolute values for all six pillars are summed up for both timeframes, resulting in two sums: current_sum and alternate_sum.
These sums are then added together to get a total_sum.
The total_sum is divided by 24 (the maximum possible sum if all pillars were at their strongest states in both timeframes) and multiplied by 100 to get a percentage.
The result is rounded to the nearest integer and capped at a minimum of 1.
This calculation method ensures that the Confluence Strength meter takes into account not only the current timeframe but also the comparison timeframe, providing a more robust measure of overall market sentiment. The resulting score, ranging from 1 to 100, gives traders a clear and intuitive measure of how strongly the pillars agree, with higher scores indicating stronger potential signals.
This approach to measuring signal strength is unique in that it doesn't just rely on a single aspect of price action or volume. Instead, it takes into account multiple factors, providing a more robust and reliable indication of potential market moves. The higher the Confluence Strength score, the more confident traders can be in the signal.
The Confluence Strength meter helps traders in several ways:
It provides a quick and easy way to gauge the overall market sentiment.
It helps prioritize potential trades by identifying the strongest signals.
It can be used as a filter to avoid weaker setups and focus on high-probability trades.
It offers an additional layer of confirmation for other trading strategies or indicators.
By combining the Six Pillars analysis with the Confluence Strength meter, I've created a powerful tool that not only identifies potential trading opportunities but also quantifies their strength, giving traders a significant edge in their decision-making process.
How the Pillars Work (What Determines Bullish or Bearish)
While developing this indicator, I selected and configured six key components that work together to provide a comprehensive view of market conditions. Each pillar is set up to complement the others, creating a synergistic effect that offers traders a more nuanced understanding of price action and volume.
Trend Pillar: Based on two Exponential Moving Averages (EMAs) - a fast EMA (8 period) and a slow EMA (21 period). It determines the trend by comparing these EMAs, with stronger trends indicated when the fast EMA is significantly above or below the slow EMA.
Directional Movement (DM) Pillar: Utilizes the Average Directional Index (ADX) with a default period of 14. It measures trend strength, with values above 25 indicating a strong trend. It also considers the Positive and Negative Directional Indicators (DI+ and DI-) to determine trend direction.
Momentum Pillar: Uses the Moving Average Convergence Divergence (MACD) with customizable fast (12), slow (26), and signal (9) lengths. It compares the MACD line to the signal line to determine momentum strength and direction.
Stochastic Pillar: Employs the Stochastic oscillator with a default period of 13. It identifies overbought conditions (above 80) and oversold conditions (below 20), with intermediate zones between 60-80 and 20-40.
Fractal Pillar: Uses Williams' Fractal indicator with a default period of 3. It identifies potential reversal points by looking for specific high and low patterns over the given period.
On-Balance Volume (OBV) Pillar: Incorporates On-Balance Volume with three EMAs - short (3), medium (13), and long (21) periods. It assesses volume trends by comparing these EMAs.
Each pillar outputs a state ranging from -2 (strongly bearish) to 2 (strongly bullish), with 0 indicating a neutral state. This standardized output allows for easy comparison and aggregation of signals across all pillars.
Users can customize various parameters for each pillar, allowing them to fine-tune the indicator to their specific trading style and market conditions. The multi-timeframe comparison feature also allows users to compare pillar states between the current timeframe and a user-defined comparison timeframe, providing additional context for decision-making.
Design
From a design standpoint, I've put considerable effort into making the Six Pillars indicator visually appealing and user-friendly. The clean and minimalistic design is a key feature that sets this indicator apart.
I've implemented a sleek table layout that displays all the essential information in a compact and organized manner. The use of a dark background (#030712) for the table creates a sleek look that's easy on the eyes, especially during extended trading sessions.
The overall design philosophy focuses on presenting complex information in a simple, intuitive format, allowing traders to make informed decisions quickly and efficiently.
The color scheme is carefully chosen to provide clear visual cues:
White text for headers ensures readability
Green (#22C55E) for bullish signals
Blue (#3B82F6) for neutral states
Red (#EF4444) for bearish signals
This color coding extends to the candle coloring, making it easy to spot when all pillars agree on a bullish or bearish outlook.
I've also incorporated intuitive symbols (↑↑, ↑, →, ↓, ↓↓) to represent the different states of each pillar, allowing for quick interpretation at a glance.
The table layout is thoughtfully organized, with clear sections for the current and comparison timeframes. The Confluence Strength meter is prominently displayed, providing traders with an immediate sense of signal strength.
To enhance usability, I've added tooltips to various elements, offering additional information and explanations when users hover over different parts of the indicator.
How to Use This Indicator
The Six Pillars indicator is a versatile tool that can be used for various trading strategies. Here are some general usage guidelines and specific scenarios:
General Usage Guidelines:
Pay attention to the Confluence Strength meter. Higher values indicate stronger agreement among the pillars and potentially more reliable signals.
Use the multi-timeframe comparison to confirm signals across different time horizons.
Look for alignment between the current timeframe and comparison timeframe pillars for stronger signals.
One of the strengths of this indicator is it can let you know when markets are sideways – so in general you can know to avoid entering when the Confluence Strength is low, indicating disagreement among the pillars.
Customization Options
The Six Pillars indicator offers a wide range of customization options, allowing traders to tailor the tool to their specific needs and trading style. Here are the key customizable elements:
Comparison Timeframe:
Users can select any timeframe for comparison with the current timeframe, providing flexibility in multi-timeframe analysis.
Trend Pillar:
Fast EMA Period: Adjustable for quicker or slower trend identification
Slow EMA Period: Can be modified to capture longer-term trends
Momentum Pillar:
MACD Fast Length
MACD Slow Length
MACD Signal Length These can be adjusted to fine-tune momentum sensitivity
DM Pillar:
ADX Period: Customizable to change the lookback period for trend strength measurement
ADX Threshold: Adjustable to define what constitutes a strong trend
Stochastic Pillar:
Stochastic Period: Can be modified to change the sensitivity of overbought/oversold readings
Fractal Pillar:
Fractal Period: Adjustable to identify potential reversal points over different timeframes
OBV Pillar:
Short OBV EMA
Medium OBV EMA
Long OBV EMA These periods can be customized to analyze volume trends over different timeframes
These customization options allow traders to experiment with different settings to find the optimal configuration for their trading strategy and market conditions. The flexibility of the Six Pillars indicator makes it adaptable to various trading styles and market environments.
Dynamic Bollinger Bands with Momentum and Volume (DBBMV)Overview
The Dynamic Bollinger Bands with Momentum and Volume (DBBMV) indicator enhances the traditional Bollinger Bands by dynamically adjusting their width and position based on momentum and volume. This provides a more responsive and context-aware indication of price volatility and potential reversals.
Key Features
Momentum Adjusted Bands: Adjusts the bands' width based on the momentum indicator, reflecting the rate of change in price.
Volume Weighted Bands: Further adjusts the bands based on trading volume to reflect market activity and price volatility.
Signal Alerts: Provides buy and sell signals based on price action relative to the dynamic bands, helping traders identify entry and exit points.
Customizable Parameters: Allows users to adjust the lookback period, momentum sensitivity, and volume weighting for personalized analysis.
How It Works
The DBBMV indicator starts with the traditional Bollinger Bands, which are calculated using a moving average and standard deviation of the selected price source. The width of these bands is then adjusted based on the momentum of the price, making them more sensitive to price changes. Further adjustments are made based on trading volume, which ensures that the bands accurately reflect current market conditions. This results in a set of dynamic Bollinger Bands that provide more nuanced insights into price volatility and potential reversals.
Usage Instructions
Identify Volatile Periods: Use the dynamically adjusted bands to identify periods of high and low volatility in the market.
Spot Reversals: Look for buy signals when the price crosses above the lower band and sell signals when the price crosses below the upper band.
Adjust Sensitivity: Customize the lookback period, momentum sensitivity, and volume weighting to fine-tune the indicator to your specific trading strategy and market conditions.
Enhance Analysis: Combine the DBBMV indicator with other technical analysis tools for a more comprehensive market analysis.
Volume Confirmation: Use the volume-weighted adjustments to confirm the strength of price movements and potential breakouts.
The Dynamic Bollinger Bands with Momentum and Volume (DBBMV) indicator provides traders with a powerful tool to understand market dynamics better and make informed trading decisions based on adjusted volatility and market activity.
Relative Momentum Index with Laguerre FilterThe Relative Momentum Index
The Relative Momentum Index (RMI) is an oscillator that is a variation of the Relative Strength Index (RSI), but incorporates momentum over a variable lookback period rather than just consecutive price changes, which can help identify reversals and filter out noise.
It measures the momentum of price changes over a specified period, rather than just the magnitude of price changes like the RSI does.
It counts up and down days from the current closing price relative to the closing price a certain number of days ago (e.g. 5 days ago), instead of just comparing consecutive daily closes like the RSI
It is calculated by taking the ratio of the average upward price changes to the average downward price changes over a given period, where each change is measured from the close X days ago (X is the “momentum” period)
Like the RSI, the RMI oscillates between 0 and 100, with readings above 70 considered overbought and below 30 oversold.
In trending markets, the RMI tends to remain in overbought or oversold territory for extended periods. In trading ranges, it oscillates more predictably between the overbought and oversold levels.
The RMI is generally considered better than the RSI at identifying potential reversal points, as it incorporates a momentum factor rather than just strength.
It can be used in a similar way to the RSI for trade signals, such as buying when it rises above 30 from below, or selling when it falls below 70 from above
The Laguerre filter
A Laguerre filter is a type of infinite impulse response (IIR) filter used for smoothing signals or data. The Laguerre filter provides a way to apply variable smoothing to a signal by adjusting its pole position, allowing you to control the balance between smoothness and lag based on your preferences. It is an alternative to simple moving averages that can better preserve the shape of the original signal.
RSI Momentum Waves [Quantigenics]RSI Momentum Waves Indicator
The RSI Momentum Waves Indicator is your intuitive tool for visualizing market strength and trend persistence. It refines the classic RSI by smoothing the data with Exponential Moving Averages (EMAs), which help clear out the noise to give you a more accurate picture of where the market’s heading. The parameters - RSI Period, Smoothing Period, Overbought, Oversold, Upper Neutral Zone, and Lower Neutral Zone - are all adjustable, so you can tailor the indicator to different market conditions or your trading style.
How It Works:
RSI Period (RsiPer): Adjusts how far back the RSI looks to calculate its value, affecting its sensitivity.
Smoothing Period (SmoothPer): Dictates how smooth the EMA lines are, balancing between sensitivity and noise reduction.
Overbought (OBLevel) / Oversold (OSLevel) Levels: Set the thresholds where the market might be too stretched in either direction and due for a reversal.
Neutral Zones (UpperNZ / LowerNZ): Define the areas where the market is considered neutral, and trend strength is less clear.
Trading Instructions:
Use the RSI Momentum Waves to gain insights into the market’s momentum and make informed decisions:
For Trend Identification: If the waves are consistently above the 50 line and climbing, the market may be bullish; if below and declining, bearish signals are suggested.
Overbought and Oversold Regions: Entering these areas might indicate a potential reversal. A peak and downturn in the overbought region can signal a sell, while a trough and upturn in the oversold region can indicate a buy.
Neutral Zone Caution: In the neutral zones, exercise caution and wait for a breakout in either direction for stronger signals.
Confirm with Other Analysis: Never rely solely on one indicator. Confirm the RSI Momentum Waves signals with other technical indicators or fundamental analysis for best practices.
Remember, the goal is to detect the rhythm of the market’s momentum and act accordingly. Happy trading!
MFI- Momentum Fusion IndicatorIndicator Overview
The "MFI - Momentum Fusion Indicator" is a comprehensive trading tool designed for TradingView that combines several technical analysis methods to assist traders in identifying potential buy and sell opportunities in financial markets.
Key Components
Moving Averages (MA): Uses two Simple Moving Averages (SMA) with periods defined by the user (default 10 and 20). The indicator generates buy signals when the shorter MA (MA 10) crosses above the longer MA (MA 20) and sell signals when it crosses below, helping to pinpoint trend reversals.
Relative Strength Index (RSI): A momentum oscillator that helps identify overbought or oversold conditions, adding a layer of confirmation to the signals generated by the moving averages.
Exponential Moving Average (EMA 50): Used to gauge the medium-term trend direction. The color of the EMA line changes based on whether the trend is up (green) or down (red), providing a visual representation of the market trend.
Average True Range (ATR): This component measures market volatility. Signals are only generated when the ATR confirms significant market movement relative to the EMA50, enhancing the reliability of the signals during volatile conditions.
How It Works
Signal Generation: The core of the indicator is based on the crossover of two SMAs. A buy signal is issued when the short-term MA crosses above the long-term MA during sufficient market volatility (confirmed by ATR). Conversely, a sell signal is triggered when the short-term MA crosses below the long-term MA under similar conditions.
Trend Confirmation: The EMA50 helps confirm the broader market trend, while the ATR ensures that the crossover signals occur during periods of meaningful price movement, filtering out noise and less significant price movements.
Use Case
For Traders: The indicator is ideal for traders who need clear, actionable signals combined with an assessment of market conditions. It’s particularly useful in markets where understanding volatility and momentum is crucial, such as in cryptocurrencies and forex.
Benefits
Comprehensive Analysis: Combines trend, momentum, and volatility analysis in one tool, providing a multifaceted approach to the markets.
Enhanced Decision-Making: By integrating multiple indicators, it reduces the likelihood of false signals and enhances decision-making confidence.
Customizable and Dynamic: Allows for easy adjustment of parameters to fit different trading styles and market conditions.
This indicator equips traders with a powerful blend of tools to analyze price movements and make informed trading decisions based on a combination of trend, momentum, and volatility insights.
Trend, Momentum, Volume Delta Ratings Emoji RatingsThis indicator provides a visual summary of three key market conditions - Trend, Momentum, and Volume Delta - to help traders quickly assess the current state of the market. The goal is to offer a concise, at-a-glance view of these important technical factors.
Trend (HMA): The indicator uses a Hull Moving Average (HMA) to assess the overall trend direction. If the current price is above the HMA, the trend is considered "Good" or bullish (represented by a 😀 emoji). If the price is below the HMA, the trend is "Bad" or bearish (🤮). If the price is equal to the HMA, the trend is considered "Neutral" (😐).
Momentum (ROC): The Rate of Change (ROC) is used to measure the momentum of the market. A positive ROC indicates "Good" or bullish momentum (😀), a negative ROC indicates "Bad" or bearish momentum (🤮), and a zero ROC is considered "Neutral" (😐).
Volume Delta: The indicator calculates the difference between the current trading volume and a simple moving average of the volume (Volume Delta). If the Volume Delta is above a user-defined threshold, it is considered "Good" or bullish (😀). If the Volume Delta is below the negative of the threshold, it is "Bad" or bearish (🤮). Values within the threshold are considered "Neutral" (😐).
The indicator displays these three ratings in a compact table format in the top-right corner of the chart. The table uses color-coding to quickly convey the overall market conditions - green for "Good", red for "Bad", and gray for "Neutral".
This indicator can be useful for traders who want a concise, at-a-glance view of the current market trend, momentum, and volume activity. By combining these three technical factors, traders can get a more well-rounded understanding of the market conditions and potentially identify opportunities or areas of concern more easily.
The user can customize the indicator by adjusting the lengths of the HMA, ROC, and Volume moving average, as well as the Volume Delta threshold. The colors used in the table can also be customized to suit the trader's preferences.
Weighted Momentum Forecast
The Weighted Momentum Forecast (EWMF) is a predictive indicator designed to forecast the potential direction and magnitude of the next candle's close. It combines the principles of momentum, trend confirmation, and volatility adjustment to make its predictions.
**Components:**
1. **Rate of Change (ROC)**: Measures the momentum of the market.
2. **Average True Range (ATR)**: Represents the market's recent volatility.
3. **Moving Average Convergence Divergence (MACD)**: Used to confirm the momentum's direction.
4. **Trend Moving Average**: A longer-term moving average to confirm the general trend.
5. **Bollinger Bands**: Adjusts the forecast to account for extreme predictions.
**Logic:**
1. **Momentum Bias**: The crossover and crossunder of the MACD line and its signal line are used to determine the momentum's bias. A crossover indicates a bullish bias, while a crossunder indicates a bearish bias.
2. **Trend Confirmation**: If the current close is above the trend moving average, the indicator has a bullish bias, and vice versa.
3. **Forecast Calculation**: The forecast for the next candle's close is calculated based on the current close, the rate of change, the momentum's bias, and the trend's bias. This value is then adjusted for volatility using the ATR.
4. **Volatility Adjustment**: If the forecasted value is beyond the Bollinger Bands, it's adjusted to be within the bands to account for extreme predictions.
**Usage:**
The EWMF plots a purple line representing the forecasted value of the next candle's close. This forecasted value provides traders with a visual representation of where the price might head in the next period, based on recent momentum, trend, and volatility.
**Note**: This is a heuristic approach and is not guaranteed to be accurate. It's essential to use this indicator in conjunction with other tools, backtest on historical data, and use proper risk management techniques. Always be aware of the inherent risks involved in trading and never risk more than you're willing to lose.
RSI Momentum TrendThe "RSI Momentum Trend" indicator is a valuable tool for traders seeking to identify momentum trends.
By utilizing the Relative Strength Index (RSI) and customizable momentum thresholds, this indicator helps traders spot potential bullish and bearish signals.
you can adjust input parameters such as the RSI period, positive and negative momentum thresholds, and visual settings to align with their trading strategies.
The indicator calculates the RSI and evaluates two momentum conditions: positive and negative.
The positive condition considers the previous RSI value, current RSI value, and positive change in the 5-period exponential moving average (EMA) of the closing price.
The negative condition looks at the current RSI value and negative change in the 5-period EMA.
Once a momentum condition is met, the indicator visually represents the signal on the chart.
The "RSI Momentum Trend" indicator provides you with a quick and effective way to identify momentum trends using RSI calculations.
By incorporating visual cues and customizable parameters, it assists traders in making informed decisions about potential market movements.
RS Momentum singleThe RS Momentum single Symbol indicator is a custom indicator that compares the performance of a specific symbol to a base symbol and calculates the relative strength (RS) and relative momentum (RM) between them. The indicator is designed to help traders identify the current market phase of the symbol and make informed trading decisions based on the relative performance.
Description:
The indicator calculates the RS and RM values using the following steps:
1. It retrieves the closing prices of the symbol and the base symbol.
2. It calculates the Symbol-to-Base Ratio (SBR) by dividing the closing price of the symbol by the closing price of the base symbol.
3. It calculates two Simple Moving Averages (SMAs) of the SBR with different lengths (RS1 and RS2) and computes the RS value as a percentage difference between these SMAs.
4. It calculates two SMAs of the RS value with different lengths (RM1 and RM2) and computes the RM value as a percentage difference between these SMAs.
5. The indicator plots the RS and RM values on the chart and assigns a market phase label based on their values.
Usage:
The indicator can be used to identify the current market phase of the symbol, which can be one of the following:
1. Leading: The symbol is outperforming the base symbol, and the momentum is positive. This phase indicates a strong bullish trend, and traders might consider entering long positions.
2. Weakening: The symbol is outperforming the base symbol, but the momentum is negative. This phase suggests that the bullish trend is losing strength, and traders might consider taking profits or tightening their stop losses.
3. Lagging: The symbol is underperforming the base symbol, and the momentum is negative. This phase indicates a strong bearish trend, and traders might consider entering short positions.
4. Improving: The symbol is underperforming the base symbol, but the momentum is positive. This phase suggests that the bearish trend is losing strength, and traders might consider closing short positions or looking for potential long entries.
Optimal Settings:
The optimal settings for the indicator depend on the specific market and trading style. However, the default settings (RS1 Length = 10, RS2 Length = 30, RM1 Length = 1, RM2 Length = 9) can be a good starting point. Traders can experiment with different settings find the ones that work best for their trading strategy and market conditions.
It's important to note that this indicator should be used in conjunction with other technical analysis tools and market context to make well-informed trading decisions. No single indicator can guarantee success in trading, and it's crucial to use a combination of tools and techniques to manage risk and maximize potential returns.
GKD-C Blau Ergodic Candlestick Momentum Index [Loxx]Giga Kaleidoscope GKD-C Ergodic Candlestick Momentum Index is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Ergodic Candlestick Momentum Index as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Ergodic Candlestick Momentum Index
What is Ergodic Candlestick Momentum Index?
The Blau Ergodic CMI-Oscillator is a technical analysis indicator developed by William Blau and described in his book “Momentum, Direction, and Divergence: Applying the Latest Momentum Indicators for Technical Analysis”. It is based on the Candlestick Momentum Index (CMI), which measures the difference between the current close price and the open price of a certain number of bars ago. The values of the CMI are normalized by the price range and mapped into the interval ¹.
The Ergodic CMI-Oscillator is calculated using the following formula:
Ergodic_CMI(price1,price2,q,r,s,u) = CMI(price1,price2,q,r,s,u)
SignalLine(price1,price2,q,r,s,u,ul) = EMA(Ergodic_CMI(price1,price2,q,r,s,u),ul)
where:
- Ergodic_CMI(): Ergodic - Candlestick Momentum Index CMI(price1,price2,q,r,s,u)
- SignalLine(): Signal Line - exponentially smoothed moving average EMA(ul), applied to Ergodic
- ul: period of a signal line ¹.
The input parameters for this indicator are:
- q: number of bars used in calculation of Candlestick Momentum (default value is 1)
- r: period of the first EMA applied to Candlestick Momentum (default value is 20)
- s: period of the second EMA applied to result of the first smoothing (default value is 5)
- u: period of the third EMA applied to result of the second smoothing (default value is 3)
- ul: period of the Signal Line - EMA(ul), applied to Ergodic (default value is 3)
- AppliedPrice1: price type (default value is PRICE_CLOSE)
- AppliedPrice2: price type (default value is PRICE_OPEN) ¹.
I hope this information helps you understand what Blau Ergodic CMI-Oscillator is and how it works.
(1) Ergodic CMI-Oscillator Blau_Ergodic_CMI - indicator for MetaTrader 5 - MQL5. www.mql5.com Accessed 4/6/2023.
(2) HOW TO TRADE: Stochastic Momentum Index Indicator - Video Manual and .... www.mql5.com Accessed 4/6/2023.
(3) Ergodic CMI-Oscillator Blau_Ergodic_CMI – indicator for MetaTrader 5. www.forexmt4indicators.com Accessed 4/6/2023.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
[blackcat] L2 Bull-Bear MomentumLevel 2
Background
Momentum effect is generally called "inertia effect". Momentum effect was proposed by Jegadeesh and Titman (1993), which refers to the tendency of the return rate of the stock to continue the original direction of movement, that is, the return rate of the stock with a higher return rate in the past period will still be higher than the return rate in the past low-yielding stocks.
Function
The Bullish and Bearish Momentum Technical Indicator is a strategy for buying and selling by analyzing the strength and weakness of recent price trends. Traders seek to take advantage of the rising or falling trend of stock prices. When this technical indicator indicates that the stock is entering a strong upward trend, the trader will buy the stock; Will choose to short the stock.
In short, momentum trading is trading with the trend. Momentum trading is based on the idea that if there is enough momentum behind the current price action, it will continue to move in the same direction. When an asset reaches a higher price, it usually attracts more investor attention, driving up the market price. The price rise continues until sellers start to enter the market consistently, and once sellers slowly outpace buyers, momentum weakens and the trend may reverse.
I have not marked special tags for this indicator usage. Users are expected to define according to their own understanding. On the whole, the basic usage is to start long positions when the first green column appears; when the first red column appears, close long positions or open short positions.
Remarks
Feedbacks are appreciated.
Alex's Dikfat Velocity 2hr CCI Color SignalerAlex's Dikfat Velocity 2hr CCI Color Signaler
As most traders have experienced at one time or another, over bought and oversold readings are relative in nature and do not always work as a standalone reading.
Momentum indicators such as the Commodity Channel Index ( CCI ) have to be understood and read correctly to determine the value in a momentum reading.
When an asset is "Overbought" or "Oversold" the reading can remain in this region Irrationally for extended periods as the market remains in irrational trend.
In order to better understand this and other readings on a momentum indicator clues such as divergence, exhaustion, continuation, time and frequency as well as the actual velocity of the movement must be measured. In addition, there are very specific measurement lines on the CCI that must be read and that can reject or break and result in the asset either loosing or gaining momentum in one direction or the other. These are the dashed lines in the background.
For the purposes of this Indicator, the actual function, characterization and use of CCI will not be explained here as the colored indications themselves will do all the work for you.
It is very important to know that the calculations used to signal the color filling ARE NOT based on simple breaks of the dashed background lines as traditionally read with a CCI indicator.
The calculations used in this Indicator are based on a very fine tuned mathematical algorithm that measure an unseen element within the CCI . When the VELOCITY of a move in momentum is met, the color fills will begin. When the VELOCITY of the move changes, so to will colorization. This has led to some of the best High Probability Long and Short Sale signaling in any CCI indicator. Pairing this with your favorite chart indicators and personal analysis will result in high tradability but can also be used stand alone.
Remember: No one single indicator should ever be used to determine market signaling.
A basic understanding of a CCI indicator is recommended before using this indicator.
This indicator and the proprietary calculations used were built and meant to be used on the 2 Hour Timeframe. The indicator is open to all time frames and accuracy increases as the time frame increases.
It is recommended that if you use this indicator on a lower timeframe, to pull CCI readings from a higher Timeframe as found in the settings.
This indicator signals long and short opportunities. High Probability long and short trades, bullish and bearish divergence building, market time traps and bullish / bearish continuation as well as exhaustion of these moves.
There is also a companion indicator which will signal the High Probability Long and Short trades on the candle chart called "Alex's Dikfat CCI Equity Signaler" Which will place white Triangles on the candle chart showing high probability long entries and Orange Triangles for High Probability short entries. These are also built into the CCI line and can be turned on in this indicator.
Color Code:
Bullish Continuation: (Background Color Black)
The function of the black background colorization is to alert the user that a bullish move has begun and is currently in a strong continuation period. the longer the black background color draws, the more sustained or trending up the current move is. When these background lines begin to break and start to appear as more frequent broken background lines, exhaustion in the move can be assumed. When the black stops drawing all together, the strength of the continuation move is gone.
Bearish Continuation: (Background Color Fuchsia)
The function of the fuchsia background colorization is to alert the user that a bearish move has begun and is currently in a strong continuation period. the longer the fuchsia background color draws, the more sustained or trending down the current move is. When these background lines begin to break and start to appear as more frequent broken background lines, exhaustion in the move can be assumed. When the fuchsia stops drawing all together, the strength of the continuation move is gone.
High Probability Long/Short:
These buy and sell opportunities were designed to give a trader the best signal/entry on a Long or a Short with the highest probability of making a large and typically sustained impulse move.
High Probability Long: (White Color Fill)
The High Probability Long is a signal to BUY with the best possible entry on an a pending large impulse move to the upside. When White begins to fill, The long is extremely likely. The signal is confirmed on the close of the following candle after white begins to draw unless an opposing color immediately follows, or white dips below the zero line. White will always usually start just below the zero line in the highest probability scenarios.
High Probability Short: (Orange Color Fill)
The High Probability Short is a signal to SELL SHORT with the best possible entry on a pending large impulse move to the downside. When Orange begins to fill, The Short is extremely likely. The signal is confirmed on the close of the following candle after orange begins to draw unless an opposing color immediately follows. Some of the best entries for Orange are when it starts at the END of a black stripe in the background and better so when Orange dips below zero for entry. The signal was designed to color early enough to get in a short during consolidation before the move.
Long and Short Opportunities: Long and Short opportunities are just as they sound. Coloring will signal green for a long opportunity and red for a short opportunity. These opportunities are not always guaranteed and usually result in an lesser impulse move in one direction with a shorter duration.
Long Opportunity: (Green)
The Long Opportunity is a signal that a Long is possible however with less likely odds of a larger more sustained move. When Green begins to fill, a long opportunity is available. The signal is confirmed on the close of the following candle after green begins to draw unless an opposing color immediately follows, or green dips below the zero line. Green will always usually start just above the zero line and have the best opportunities at the end of Bullish Divergence (Blue) at the end of Bearish Continuation (Fuchsia) or a non filled CCI .
Short Opportunity: (Red)
The Short Opportunity is a signal that a Short is possible however with less likely odds of a larger more sustained move. When Red begins to fill, a short opportunity is available. The signal is confirmed on the close of the following candle after red begins to draw unless an opposing color immediately follows. Some of the best entries for Red are when it starts at the END of a black stripe in the background (higher odds than other red signaling). The signal was designed to color early enough to get in a short during consolidation before the move and better so if orange develops after red.
Bullish Divergence: (Dark Blue)
Dark Blue colors when Bullish Divergence is detected. Bullish divergence is a signal that momentum is building higher within the asset for an up move while price action in the candle chart makes lower lows. Bullish Divergence is not a signal to buy or sell but rather a sign post to say WAIT. Bullish divergence is building and a Long is coming. Some traders will buy bullish divergence in anticipation of a move and is only equitable if you have the cash and resolve to follow it through for as long as it is developing. Buying or selling divergence right away is not always the best practice unless a hard dip below all momentum lines followed by an immediate buy signal from white or green resulting in a drop base rally.
Bearish Divergence: (Dark Maroon)
Dark Maroon colors when Bearish Divergence is detected. Bearish divergence is a signal that momentum is dropping out of the asset for a move lower while price action in the candle chart makes higher highs. Bearish Divergence is not a signal to buy or sell but rather a sign post to say WAIT. Bearish divergence is building and a Short is coming. Some traders will sell bearish divergence in anticipation of a move and is only equitable if you have the cash and resolve to follow it through for as long as it is developing. Buying or selling divergence right away is not always the best practice unless a hard rip above all momentum lines followed by an immediate sell signal from red or orange resulting in a rally base drop.
No Color Fill:
When CCI has no color fill whatsoever it is telling the trader there are no high velocity movements in momentum in any direction. Best practice is to do nothing and wait out the Time Trap currently on the chart until signaling develops.
Time and Frequency:
Time and frequency is notable throughout the indicator. First and foremost when CCI is not being filled it is best practice to do nothing as there is NO Velocity of Movement within the asset at that time. This is one of the most obvious of Time Traps.
Bullish and Bearish Divergence is also a type of Time Trap. The longer these develop, the more weak hands are shaken out of the market and derivatives traders have their premium burned. Best practice with divergences is also to wait until adequate signaling develops, or be willing to buy or sell the appropriate divergence by accumulating or distributing for as long as it develops; or simply to buy/sell and hold for the move.
Any Sustained color for extended periods of time is also a time trap signaling to the trader that the asset is being irrational in its present move.
Bullish and Bearish Continuation:
These also deal with time and frequency most importantly. When we are on a sustained Bull Run, black will color in the background continuously. When the black starts to barcode or break up, exhaustion of the bull run is assumed as the frequency of the run becomes erratic. Inversely, When we are on a sustained Bear Run, fuchsia will color in the background continuously. When the fuchsia starts to barcode or break up, exhaustion of the bear run is assumed as the frequency of the run becomes erratic.
The color scheme is designed to be read from darkest to lightest when a sequence of events is found. I.E Dark Maroon>Red>Orange or Inversely Dark Blue>Green>White
In keeping with the best practices and traditions of TradingView, we have published this as a public script with the best intentions of aiding the TradingView community in unique and valuable ways. While some of our best indicators are by invite only, we feel an addition to the community of this magnitude will add to the fabric and substance of community.
RSI Momentum Acceleration by TartigradiaPlots the momentum acceleration oscillators from price and RSI, rescaled and with areas above/below highlighted.
Usage: in a nutshell, when the background is yellow, it's bearish (RSI decelerates faster than price), whereas when the background is green, it's bullish (RSI accelerates faster than price). It appears to detect early some reversals that are otherwise difficult to detect.
Note: it supports using any other indicator's output as the second source input, instead of RSI. PineScript does not allow for more than one source to receive input from other indicators, all the others must only use price as an input.
This indicator uses the core routine to calculate Momentum Acceleration Oscillators by DGT:
This indicator is based on the idea of stinkbug : "RSI is a good momentum indicator showing how excited ppl are on a move, this is why divergences on it work so well. I would like to see the change accelerating or slowing on a move up or down.."
Multi-Timeframe Squeeze Pro/DIM/Momentum/MAIMPORTANT NOTE:
-> The table will not display any timeframes lower than the current one
-> This indicator combine multiple popular indicators and give ability to use them on Multiple timeframes (MFT)
-> Indicators used for the MFT are: Squeeze / Momentum / 10X DIM and Stacked MA (or EMA)
-> Give at glance a good way to see the trend all different timeframes
-> If you are using in combination with squeeze pro please use the one from @Beardy_Fred since it matches the colours and condition used
Credits :
-> J. Welles Wilder creating the Directional Movement System (DMS) (1978); and
-> John Carter applying the DMS to create the popular Simpler Trading 10X Bars indicator.
-> @Beardy_Fred creating a first version including MOM and SQZ
-> Makit0's evolution of Lazybear's script to factor in the TTM Squeeze Pro upgrades - Squeeze PRO Arrows
I have adapted the version from @Beardy_Fred to provide a more complete and customisable indicator while including also the Stacked EMA/MA for further validation
Explanation:
You can learn more about each indicators following those links:
Squeeze Pro:
10X:
Momentum Histogram:
The stacked EMA/MA highlights when the MA/EMA are in order:
Red when they are stacked from the highest to the lowest
Green when they are stacked from the lowest to the highest
Yellow when they are stacked without a clear order
Customisation:
You can customise:
Timeframes
Settings for each indicators (10X/MA/Momentum/Squeeze)
Colors
Visibility
Trade Signals:
If you are going Long, Since this is a combination ideally on the timeframe you are trading you should have all green + green on the above timeframes (those colors are the default ones but can be changed)
-> Green on 10X indicator meaning you are in an uptrend
-> EMA or MA (depending on the configuration of the indicator) Green meaning EMA or MA
-> Squeeze should be Orange or Red ideally (indicating an high or medium Squeeze)
-> Momentum should be Cyan indicating an increase in momentum (while Dark Blue could indicate a reversal)
Standalone indicators:
- Squeeze Pro
- 10X Bar
- Stacked MA
- Momentum
Linear Momentum and Performance Indicators by Akram ElsherbiniThis indicator pack is simply the adaptation of the formulas proposed in the Linear Momentum and Performance Indicators Thesis by Akram Elsherbini.
Elsherbini, Akram. (2019). Linear Momentum and Performance Indicators. 10.13140/RG.2.2.20941.18407.
www.researchgate.net
Thesis Abstract:
“Momentum is not the same as velocity. A lot of words are used in physics, and they all have precise meanings in physics, although they may not have such precise meanings in everyday language. Momentum is an example, and we must define it precisely.” (Feynman, 1965). Since momentum indicators have been introduced to the field of technical analysis, many analysts use momentum when they refer to price acceleration. As the study of price movement is the main concern of technical analysts, the laws of motion, including Newton’s second law, are applied to prices to clarify the difference between price acceleration, momentum and force. This paper will attempt to adjust the price momentum and force concepts introduced by Welles Wilder and Alexander Elder , respectively. By introducing the concept of linear momentum, new indicators will emerge to dissect the market performance into six main elements: market’s force, pressure, strength, power, intensity, and dynamic strength. This will lead to a deeper insight about market action. The leading performance indicators can be used simultaneously to identify price turning points and filter irrelevant divergences. The linear momentum and the new performance indicators should make a significant change in categorising several indicators in technical analysis.
I highly recommend you read through the Thesis, (15 pages) if you want a deeper understanding of how these indicators function and how you could possibly use them along with other indicators.
This indicator plots as an Oscillator about 0.
The pack contains the 12 different Oscillators types, only one can be active at a time, so if you want to show multiple, just place duplicates of this indicator on your chart and simply change between types in the settings:
Liner Force / Momentum Index
Pressure Index
Strength Index
Power Index
Intensity Index
Dynamic Strength Index
Integral Liner Force / Momentum Index
Integral Pressure Index
Integral Strength Index
Integral Power Index
Integral Intensity Index
Integral Dynamic Strength Index
