PDM - Plus Directional Movement Weekly BTC Index [Logue]Plus Directional Movement (PDM) weekly BTC index - The PDM is a momentum indicator that measures the strength of a trend in the positive direction. The weekly PDM is calculated by determining the difference between the week's high price and the previous week's high price smoothed by a 14-period moving average. Higher PDM values indicate higher momentum in the positive (higher price) direction. The default triggers for this indicator are PDM values above 55 for tops and below 14 for bottoms.
M-oscillator
WaveTrendnel Oscillator [UAlgo]🔶Description:
The WaveTrendnel Oscillator, is a technical analysis tool designed for traders to identify potential trend reversals and overbought/oversold conditions in the market. It combines the concepts of wave analysis and trend analysis to generate signals based on the current market conditions. This indicator aims to provide traders with insights into the strength and direction of the prevailing trend, facilitating better decision-making in trading strategies.
🔶Key Features:
Customizable Parameters: Users can customize various parameters including the source data, channel length, average length, and signal length according to their trading preferences and market conditions.
Signal Display: The indicator offers the option to display buy and sell signals on the chart, helping traders to visually identify potential entry and exit points.
Wave and Kernel Analysis: The WaveTrendnel Oscillator utilizes a rational quadratic kernel function, which applies a mathematical approach known as the kernel method. This method analyzes historical price data by assigning weights to each data point based on its proximity to the current period, providing a smoother and more accurate representation of market trends.
Overbought/Oversold Levels: Traders can define overbought and oversold levels using customizable threshold parameters, enabling them to identify potential reversal points in the market.
🔶Credit:
The WaveTrendnel Oscillator indicator is a modification of the original WaveTrend Oscillator developed by @LazyBear on TradingView.
🔶Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Trend Reversal Composite Index
Overview
The "Trend Reversal Composite Index" (TRCI) is a comprehensive technical analysis tool that combines several indicators to identify potential trend reversals and assess the overall market pulse. The script integrates a variety of technical indicators, including RSI, Stochastic, MACD, Bollinger Bands, Williams %R, OBV, ADX, ATR, and the Relative Volatility Index, each with adjustable weights to fine-tune their influence on the composite scores.
Key Features
Customization : Users can select the "Standardization Type" (Normalized or Z-Score) to standardize indicator values, catering to different analysis preferences.
Composite Scores : The script calculates two main composite scores: the "Trend Reversal Composite" and the "Market Pulse Composite," each derived from a weighted sum of standardized indicator values.
Indicator Weighting : Each indicator's impact on the composite scores can be adjusted through user-defined weights, enabling personalized sensitivity settings.
Dynamic Visuals : The script plots the composite scores and their exponential moving averages (EMAs) on the chart, offering a clear visualization of the market's condition and trend reversals.
Signal Identification : It provides clear "go long" and "go short" signals based on the crossover and crossunder of the composite score and predefined thresholds, assisting in decision-making.
Utility and Originality
TRCI stands out due to its integrative approach, combining multiple indicators into a single composite index. This not only simplifies the analysis by providing a consolidated view of various signals but also enhances the decision-making process by aggregating the predictive power of individual indicators. Its flexibility in customization through adjustable weights and standardization types allows users to tailor the tool according to their trading style and market conditions.
Implementation and Usage
To utilize the TRCI effectively, traders should first experiment with the weights of different indicators based on their trading strategy and the market's volatility. The composite scores offer a straightforward interpretation: higher values may indicate potential buying opportunities, while lower values could signal selling points. The inclusion of EMAs further aids in smoothing out the signals, providing a more reliable indicator of trend direction.
Conclusion
The "Trend Reversal Composite Index" is a versatile and innovative tool for traders looking to streamline their technical analysis and enhance their decision-making process. Its combination of multiple indicators into composite scores, customizable through user-defined weights, makes it a valuable addition to any trader's toolkit.
WaveTrend Ribbon [AlgoAlpha]🌟🚀 Introducing the WaveTrend Ribbon by AlgoAlpha - Your Next-Level Trading Companion! 🚀🌟
Dive into the world of advanced trading with the WaveTrend Ribbon by AlgoAlpha, a cutting-edge indicator designed to elevate your trading strategy on TradingView. 📈💡 This powerful tool combines the efficiency of the WaveTrend oscillator with innovative Z-score analysis to offer clear, actionable trading signals. 🌊🎯
Key Features:
🔧 Customizable Parameters: Tailor the indicator to your trading needs with adjustable settings including Channel Length, Average Length, Overbought/Oversold Levels, and more.
📊 WaveTrend Oscillator: Utilizes a smoothed version of the average price to identify potential market reversals.
📉 Z-Score Analysis: Enhances signal reliability by measuring the standard deviation of the current price from the mean.
🎨 Dynamic Color Coding: Visual cues shift between up and down colors to indicate market trends, making it easy to read at a glance.
⚠️ Divergence Detection: Automatic identification of bullish and bearish divergences for early signal warnings.
🔔 Custom Alerts: Stay ahead with real-time alerts for key trading events like bullish/bearish divergences and trend reversals.
How to Use WaveTrend Ribbon :
Maximize your trading potential with the WaveTrend Ribbon by following these simple steps:
🔍 Add to Chart: Locate "WaveTrend Ribbon " in TradingView's Indicators & Strategies and apply it to your chart. Dive into the settings to customize the parameters like Channel Length, Average Length, and the Overbought/Oversold levels to match your trading strategy.
- Channel Length affects the sensitivity of the WaveTrend oscillator to price movements. A shorter Channel Length increases responsiveness, useful in volatile markets but may lead to false signals. It's ideal for traders looking for quick reactions to price changes.
- Average Length is used to smooth the oscillator further, influencing how quickly the indicator responds to trend changes. A shorter Average Length allows for a quicker response to the oscillator's movements, suitable for short-term trading strategies.
📊 Analyze the Market: Pay close attention to the color transitions and position of the Z-score in relation to its moving average for insights into market direction. Look out for the overbought and oversold conditions for potential reversal points.
🔔 Set Up Alerts: Utilize the built-in alert system to get notified of key events like trend reversals, bullish and bearish divergences, and more, so you can make timely decisions without having to constantly monitor the charts.
Basic Logic Explained:
The WaveTrend Ribbon is an advanced trading indicator that leverages the WaveTrend oscillator, enhanced by Z-score normalization and moving averages for precise market trend analysis. It calculates the average price deviation over a set period (Channel Length), smoothing it with an Average Length to identify trends. Z-score analysis further refines signals by comparing oscillator deviations against its historical performance, highlighting overbought or oversold conditions. The indicator generates signals for potential reversals and market entries/exits, visualized through dynamic color coding and customizable alerts for traders to act upon efficiently. This multi-layered approach provides a deeper insight into market dynamics, offering a blend of trend following and momentum strategies.
By highlighting overbought and oversold conditions with dynamic color changes and providing reversal signals, this indicator is a must-have tool for traders aiming to capitalize on market trends. 📈🚀
Elevate your trading experience with the WaveTrend Ribbon, your go-to indicator for navigating the markets with confidence and precision. Happy trading! 🌟🚀
Squeeze Momentum DeluxeThe Squeeze Momentum Deluxe is a comprehensive trading toolkit built with features of momentum, volatility, and price action. This script offers a suite for both mean reversion and trend-following analysis. Developed based on the original TTM Squeeze implementation by @LazyBear, this indicator introduces several innovative components to enhance your trading insights.
🔲 Components and Features
Momentum Oscillator - as rooted in the TTM Squeeze, quantifies the relationship between price and its extremes over a defined period. By normalizing the calculation, the values become comparable throughout time and across securities, allowing for a nuanced assessment of Bullish and Bearish momentum. Furthermore, by presenting it as a ribbon with a signal line we gain additional information about the direction of price swings.
Squeeze Bars - The original squeeze concept is based on the relationship between the Bollinger Bands and Keltner Channel , once the BB resides inside the KC a squeeze occurs. By understanding their fundamentals a new form of calculation can be inferred.
method bb(float src, simple int len, simple float mult) => method kc(float src, simple int len, simple float mult) =>
float basis = ta.sma (src, len) float basis = ta.sma (src, len)
float dev = ta.stdev(src, len) float rng = ta.atr ( len)
float upper = basis + dev * mult float upper = basis + rng * mult
float lower = basis - dev * mult float lower = basis - rng * mult
Both BB and KC are constructed upon a moving average with the addition of Standard Deviation and Average True Range respectively. Therefore, the calculation can be transformed to when the Stdev is lower than the ATR a squeeze occurs.
method sqz(float src, simple int len) =>
float dev = ta.stdev(src, len)
float atr = ta.atr ( len)
dev < atr ? true : false
This indicator uses three different thresholds for the ATR to gain three levels of price "Squeeze" for further analysis.
Directional Flux- This component measures the overall direction of price volatility, offering insights into trend sentiment. Presented as waves in the background, it includes an OverFlux feature to signal extreme market bias in a particular direction which can signal either exhaustion or vital continuation. Additionally, the user can choose if to base the calculation on Heikin-Ashi Candles to bias the tool toward trend assessment.
Confluence Gauges - Placed at the top and bottom of the indicator, these gauges measure confluence in the relationship between the Momentum Oscillator and Directional Flux. They provide traders with an easily interpretable visual aid for detecting market sentiment. Reversal doritos displayed alongside them contribute to mean reversion analysis.
Divergences (Real-Time) - Equipped with a custom algorithm, the indicator detects real-time divergences between price and the oscillator. This dynamic feature enhances your ability to spot potential trend reversals as they occur.
🔲 Settings
Directional Flux Length - Adjusts the period of which the background volatility waves operate on.
Trend Bias - Bases the calculation of the Flux to HA candles to bias its behavior toward the trend of price action.
Squeeze Momentum Length - Calibrates the length of the main oscillator ribbon as well as the period for the squeeze algorithm.
Signal - Controls the width of the ribbon. Lower values result in faster responsiveness at the cost of premature positives.
Divergence Sensitivity - Adjusts a threshold to limit the amount of divergences detected based on strength. Higher values result in less detections, stronger structure.
🔲 Alerts
Sell Signal
Buy Signal
Bullish Momentum
Bearish Momentum
Bullish Flux
Bearish Flux
Bullish Swing
Bearish Swing
Strong Bull Gauge
Strong Bear Gauge
Weak Bull Gauge
Weak Bear Gauge
High Squeeze
Normal Squeeze
Low Squeeze
Bullish Divergence
Bearish Divergence
As well as the option to trigger 'any alert' call.
The Squeeze Momentum Deluxe is a comprehensive tool that goes beyond traditional momentum indicators, offering a rich set of features to elevate your trading strategy. I recommend using toolkit alongside other indicators to have a wide variety of confluence to therefore gain higher probabilistic and better informed decisions.
Grucha Percentage Index (GPI) V2Grucha Percentage Index originally created by Polish coder named Grzegorz Antosiewicz in 2011 as mql code. This code is adapted by his original code to tradingview's pinescript.
What Does it Do
GPI is an oscillator that finds the lowest/highest prices with certain depth and generates signals by comparing the bull and bear bars. It use two lines, one is the original GPI calculation, the other is the smoothed version of the original line.
How to Use
GPI can catch quick volatility based movements and can be used as a confirmation indicator along with your existing trading system. When GDI (default color yellow) crosses above the GDI MA (default colored blue) it can be considered as a bullish movement and reverse can be considered as bearish movement.
How does it Work
The main calculation is done via the code below:
for i=0 to length
if candleC < 0
minus += candleC
if candleC >= 0
plus -= candleC
Simply we are adding green and red bars seperately and then getting their percentage to the bullish movement to reflect correctly in a 0-100 z-score enviroment via the code below:
res = (math.abs(minus)/sum)*100
Rest is all about plotting the results and adding seperate line with smoothing.
Note
These kind of oscillators are not designed to be used alone for signal generation but rather should be used in combination with different indicators to increase reliability of your signals.
Happy Trading.
Cloud TrendCloud Trend Indicator ☁
The "Cloud Trend" indicator is a robust tool designed to identify and follow trends in financial markets. Leveraging Heikin Ashi principles, this indicator offers a clear visualization of trend strength and direction through the construction of a dual-line cloud.
How it works:
Principle of code is simple and efficient. Based on the loop, indicator calculates how many Heikin Ashi closes bars back are higher or lower of the current one and producing higherBars sum or lowerBars sum. In this way we have two lines from what clouds are constructed.
int higherBars = 0
int lowerBars = 0
// Heikin Ashi Close
series float h_close = math.avg(open,close,high,low)
// Calculation Lines
for i = 0 to lookbackInput - 1
if h_close < h_close
higherBars += 1
else if h_close > h_close
lowerBars += 1
Features:
Dual-Line Cloud Construction: The cloud is formed by two lines, where the upper line represents bullish momentum (aqua color) and the lower line reflects bearish momentum (red color).
Dynamic Bar Color: Traders can choose to color price bars based on trend strength. Aqua bars indicate a strong bullish trend, while red bars signify a robust bearish trend, providing valuable insights into market dynamics.
Customizable Lookback Period: Adapt the indicator to different market conditions by adjusting the lookback period. This flexibility accommodates various trading strategies and preferences.
Usage:
Cloud Color Signals: Changes in the cloud's color signal shifts in trend direction. Aqua signifies a bullish trend, while red indicates a bearish trend.
Bar Color Strength: If enabled, the color of price bars reflects the strength of the trend. Intense colors represent strong trends, offering a quick visual cue to the market's momentum.
Lookback Period Adjustment: Tailor the lookback period to match the timeframe and market conditions you are analyzing. Shorter periods capture immediate trends, while longer periods identify more sustained movements.
The "Cloud Trend" indicator, with its dual-line cloud construction, provides an intuitive way to interpret market trends. Whether you are a seasoned trader or a beginner, this tool enhances your technical analysis and supports more informed trading decisions.
MACD Based Price Forecasting [LuxAlgo]The MACD Based Price Forecasting tool is an innovative price forecasting method based on signals generated by the MACD indicator.
The forecast includes an area which can help traders determine the area where price can develop after a MACD signal.
🔶 USAGE
The forecast returned by the tool allows users to obtain a general picture of how price tends to progress after a specific MACD signal. The forecast is constructed based on percentiles of previous price progressions done after a specific MACD signal is generated.
Users can change which condition is used to generate MACD signals from the "Trend Determination" dropdown menu, with "MACD" determining trends based on whether the MACD is positive (uptrend) or negative (downtrend) and "MACD-Signal" determining trends based on the position of the MACD relative to its signal line, with an MACD above the signal line indicating an uptrend, else a downtrend.
Users can introduce bias to the forecast by changing the "Average Percentage" setting, with values above 50% introducing bullish bias, and below bearish bias.
It can be possible for the forecast to highlight potential reversals depending on the selected forecasting horizon as long as reversals can be observed on trends detected by the MACD.
🔹 Forecasting Area
The forecasting area can help visualize the area that will likely contain price after a specific signal. The area width is based on the "Top/Bottom Percentiles" settings, with a higher "Top Percentile" value returning a higher top bound and a lower "Bottom Percentile" value returning a lower bottom bound.
These areas can also serve as potential support/resistance areas.
🔶 SETTINGS
Fast Length: Fast length of the moving average used to compute the MACD
Slow Length: Slow length of the moving average used to compute the MACD
Signal Length: Length of the MACD moving average.
Trend Determination: Method used to determine a trend direction from the MACD.
🔹 Forecast
Maximum Memory: Determines the maximum amount of prices recorded at each steps succeeding a signal. Lower values will return forecasts with a higher degree of variability.
Forecasting Length: Forecasting horizon in bars, this value only serves as a limit of the forecasting horizon and might not be reached depending on user selected MACD settings.
Top Percentile: Percentile value used to determine the upper bound of the forecasting area.
Average Percentile: Percentile value used to determine the forecast.
Lower Percentile: Percentile value used to determine the lower bound of the forecasting area.
PCTR - Pi Cycle Top Risk [Logue]Pi-cycle Top Risk (PCTR) - The PCTR indicator uses divergence of the Pi-cycle top indicator display the risk that a macro top in Bitcoin (BTC) is near. The Pi-cycle top indicator is simply the cross of the 111-day moving average above a 2x multiple of the 350-day moving average of the BTC price. While there is no fundamental reasoning behind why this works, it has worked to indicate previous bitcoin tops by taking advantage of the cyclicality of the BTC price and measurement overextension of BTC price. This indicator triggers a top signal when the fast moving average (111-day) crosses above the 2x multiple of the slow moving average (350-day).
What's interesting is the indicator can also signal a bottom when the divergence of the fast moving average is at an extreme versus the slow moving average. The indicator signals a bottom when the fast MA is 66% away from the slow MA value.
Both the top and bottom signals are clearly shown on the chart on a scale from 100 to 0.
Supertrended RSI [AlgoAlpha]🚀📈 Introducing the Supertrended RSI Indicator by AlgoAlpha!
Designed to empower your trading decisions, this innovative Pine Script™ creation marries the precision of the Relative Strength Index (RSI) with the dynamic prowess of the SuperTrend methodology. Whether you’re charting the course of cryptos, riding the waves of stock markets, or navigating the futures landscape, our SuperTrended RSI Indicator is your go-to tool for uncovering unique trend insights and crafting trading strategies. 🌟
Key Features:
🔍 Enhanced RSI Analysis: Combines the traditional RSI with a supertrend calculation for a dynamic look at market trends.
🔄 Multiple Moving Averages: Offers a selection of moving averages including SMA, HMA, EMA, and more for tailored analysis.
🎨 Customizable Visuals: Choose your own color scheme for uptrends and downtrends to match your trading dashboard.
📊 Flexible Input Settings: Tailor the indicator with customizable lengths, factors, and smoothing options.
⚡ Real-Time Alerts: Set alerts for bullish and bearish reversals to stay ahead of market movements.
Quick Guide to Using the Supertrended RSI Indicator
Maximize your trading with the Supertrended RSI by following these streamlined steps! 🚀✨
🛠 Add the Indicator: Search for "Supertrended RSI " in TradingView's Indicators & Strategies. Customize settings like RSI length, MA type, and Supertrend factors to fit your trading style.
🎨 Visual Customization: Adjust uptrend and downtrend colors for clear trend visualization.
📊 Market Analysis: Watch for the Supertrend color change for trend reversals. Use the 70 and 30 lines to spot overbought/oversold conditions.
🔔 Alerts: Enable notifications for reversal conditions to capture trading opportunities without constant chart monitoring.
How It Works:
At the core of this indicator is the combination of the Relative Strength Index (RSI) and the Supertrend framework, it does so by applying the SuperTrend on the RSI. The RSI settings can be adjusted for length and smoothing, with the option to select the data source. The Supertrend calculation takes into account a specified trend factor and the Average True Range (ATR) over a given period to determine trend direction.
Visual elements include plotting the RSI, its moving average, and the Supertrend line, with customizable colors for clarity. Overbought and oversold conditions are highlighted, and trend changes are filled with distinct colors.
🔔 Alerts: Enable alerts for crossover and crossunder events to catch every trading opportunity.
🌈 Whether you're a seasoned trader or just starting, the Supertrended RSI offers a fresh perspective on market trends. 📈
💡 Tip: Experiment with different settings to find the perfect balance for your trading style!
🔗 Explore, customize, and enhance your trading experience with the Supertrended RSI Indicator! Happy trading! 🎉
U-Oscillator Pro [UAlgo]The U-Oscillator Pro is a comprehensive technical analysis tool designed to assist traders in making informed decisions in financial markets. This indicator integrates various features including oscillator, bands, trend clouds divergences, and confluence signals to provide a comprehensive view of market dynamics.
🔶 Oscillator :
U-Oscillator uses an amalgamation of price, momentum, and volatility elements to provide a comprehensive market view. It provides a common output about the market and is easy to use.
Oscillator Features :
Customizable Oscillator Length : This parameter sets the length of the oscillator.
Use Machine Learning On Oscillator Calculation : By evaluating the output of the oscillator, this data set calculates a weighted average of the data set by taking each point with a certain weight and using these weights. This is often used in situations where some data points are more important or need to have more impact than others. A weight for each point that the oscillator calculates may represent the importance or impact of that point. By including all these calculations in the oscillator, it provides a result.
Reversal Signals : Determines whether to display reversal signals on the chart. When set to true, it enables the plotting of reversal signals based on certain conditions for both long (buy) and short (sell) signals. These signals can be interpreted as "potential" turning points of the market. Signals are represented by small shapes on the chart, with green indicating short (sell) signals and red indicating long (buy) signals.
🔶 Extreme Bands:
These regions can be described as the possible reversal regions of the price and obtained by deviations of oscillator values.
Extreme Bands Features:
Band Length : Determines the length of the bands.
Show Extreme Bands : Option to display the extreme bands.
Show Middle Line : Option to show the middle line.
Transparency Mode : Adjust the transparency level of the bands.
It would not be wrong to consider it as potential overbought and oversold regions.
Example:
🔶 Divergences :
The divergence calculation in this script identifies potential reversals by analyzing pivot points in the oscillator. Here's how it works:
Divergence Features :
Pivot Length: The user specifies the length of the divergence calculation (pivotLength), which determines the number of bars to consider for pivot analysis.
Pivot Identification: The script searches for pivot highs and lows within the specified length. These pivots indicate potential turning points in the oscillator.
Divergence Conditions: Different conditions are evaluated based on the identified pivots to determine the presence of bullish or bearish divergences:
Regular Bullish Divergence: Occurs when the oscillator makes a lower low while the price makes a higher low.
Hidden Bullish Divergence: Occurs when the oscillator makes a higher low while the price makes a lower low.
Regular Bearish Divergence: Occurs when the oscillator makes a higher high while the price makes a lower high.
Hidden Bearish Divergence: Occurs when the oscillator makes a lower high while the price makes a higher high.
Visualization: Detected divergences are plotted on the chart using shapes and lines, indicating potential reversal points. Users can choose which types of divergences to display using input options.
🔶 Trend Cloud :
This section can provide information about the long-term direction of the price and the current status of the trend. The increase in the visibility of the cloud can provide information about the strength of the trend.
Trend Cloud Features :
Show Trend Cloud: This setting allows you to choose whether the trend cloud is displayed on the chart or not.
Fast Trend Cloud Mode: This feature can be used to provide information about the cloud's shorter-term trend and its strength.
Classic Mode of Trend Cloud :
Fast Mode of Trend Cloud :
🔶 Confluence :
This section of the script aims to identify potential reversal confluences based on the deviation between the price and a combination of oscillator values. The confluence signals are categorized into light and heavy, representing different levels of potential reversal strength.
Confluence Features :
Show Light/Heavy Reversal Confluences: This setting allows users to control the visibility of the confluence signals on the chart.
Confluence Term: Users can select the term for calculating the confluence, which in turn affects the sensitivity of the confluence signals. The available options are Short, Medium, and Long.
Confluence Signal Conditions:
Light Bearish Reversal Confluence: This type of confluence occurs when there is a moderate deviation between the price and the oscillator values, indicating a potential shift towards a bearish reversal in the market sentiment.
Heavy Bearish Reversal Confluence: In contrast, a heavy bearish reversal confluence signifies a significant deviation between the price and the oscillator values, suggesting a strong indication of a bearish reversal in the market sentiment.
Light Bullish Reversal Confluence: Similar to light bearish reversal confluence, light bullish reversal confluence occurs with a moderate deviation between the price andthe oscillator values, indicating a potential shift towards a bullish reversal in the market sentiment.
Heavy Bullish Reversal Confluence: On the other hand, heavy bullish reversal confluence indicates a substantial deviation between the price andthe oscillator values, suggesting a strong indication of a bullish reversal in the market sentiment.
Plotting Confluence Signals: Shapes (triangles) are plotted on the chart to indicate the presence of confluence signals. Red triangles denote bearish signals, while green triangles denote bullish signals.
This confluence analysis provides traders with additional insights into potential reversal points or helping them make more informed trading decisions.
Example For Confluence :
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
CBO (Candle Bias Oscillator)The Candle Bias Oscillator (CBO) with volume and ATR scaling is a unique technical analysis tool designed to capture market sentiment through the analysis of candlestick patterns, volume momentum, and market volatility. This indicator is built on the foundation of assessing the bias within a candlestick's body and wicks, adjusted for market volatility using the Average True Range (ATR), and further refined by comparing the Rate of Change (ROC) in volume and the adjusted bias. The culmination of these calculations results in the CBO, a smoothed oscillator that highlights potential market turning points through divergence analysis.
Key Features:
Bias Calculations: Utilizes the relationship between the candle's body and wicks to determine the market's immediate bias, offering a nuanced view beyond simple price action. Have you ever wanted to quantify exactly how bullish or bearish a particular candle or candlestick pattern is? Whether it's dojis, hammers, engulfing, gravestones, evening morning star, three soldiers etc. you don't have to memorize 50 candlestick patterns anymore.
Volatility Adjustment: Employs the ATR to adjust the bias calculation, ensuring the oscillator remains relevant across varying market conditions by accounting for volatility.
Momentum and Divergence: Measures the momentum in volume and bias through ROC calculations, identifying divergence that may signal reversals or significant price movements.
Signal Line: A smoothed version of the CBO, derived from its own values, serving as a benchmark for identifying potential crossovers and divergences.
Utility and Application:
The CBO with Divergence Scaling is developed for traders who seek a deeper understanding of market dynamics beyond price movements alone. It is particularly useful for identifying potential reversals or continuation patterns early, by highlighting divergence between market sentiment (as expressed through candlestick bias) and actual volume movements. In this way, it aligns us retail traders with institutional traders and smart money. This indicator is versatile and can be applied across various time frames and market instruments, offering value to both short-term traders and long-term investors.
How to Use:
Trend Identification: The direction and value of the CBO provide insights into the prevailing market trend. A positive oscillator value may indicate bullish sentiment, while a negative value suggests bearish sentiment.
Signal Line Crossovers: Crossovers between the CBO and its signal line can be used as potential buy or sell signals. A crossover above the signal line might indicate a buying opportunity, whereas a crossover below could suggest a selling point.
Divergence: Discrepancies between the CBO and price action (especially when confirmed by volume ROC) can highlight potential reversals.
Customization and Parameters: This script allows users to adjust several parameters, including oscillator periods, signal line periods, ATR periods, and ROC periods for divergence, to best fit their trading strategy and the characteristics of the market they are analyzing.
Conclusion:
The Custom Bias Oscillator with Divergence Scaling is a comprehensive tool designed to offer traders a multi-faceted view of market conditions, combining elements of price action, volatility, and momentum. By integrating these aspects into a single indicator, it aims to provide a more rounded and actionable insight into market trends and potential turning points.
To comply with best practices and ensure clarity regarding the informational nature of the Custom Bias Oscillator (CBO) tool, it's crucial to include a disclaimer about the non-advisory nature of the script. Here's a suitable disclaimer that you can add to the end of your script description or publication:
Disclaimer:
The Custom Bias Oscillator (CBO) with Divergence Scaling and its accompanying analysis are provided as tools for educational and informational purposes only and should not be construed as financial advice. The creator of this indicator does not guarantee any specific outcomes or profit, and all users should be aware of the risks involved in trading and investing. Users should conduct their own research and consult with a professional financial advisor before making any investment decisions. The use of this indicator is at the user's own risk, and the creator bears no responsibility for any direct or consequential loss arising from any use of this tool or the information provided herein.
SignalThis custom TradingView indicator, named "Signal," is designed to generate buy and sell signals based on the Stochastic Oscillator, a momentum indicator that compares a particular closing price of an asset to a range of its prices over a certain period of time. The indicator is set to overlay on the price chart, providing visual cues for potential trading opportunities.
Key features of the "Signal" indicator include:
1. **Dynamic Period Adjustment**: The indicator automatically adjusts its settings based on the chart's time frame. For a 1-hour (60 minutes) chart, the stochastic length is set to 15, while for a 15-minute chart, the length is set to 10.
2. **Stochastic Calculation**: It calculates the %K line as a smoothed moving average (SMA) of the stochastic ratio, and the %D line as an SMA of the %K line, with both lines smoothed over a period derived from the dynamic length setting.
3. **Signal Detection**: The indicator identifies bullish crossovers (golden crosses) when the %K line crosses above the %D line and the average of both lines is below 50. Conversely, it detects bearish crossovers (death crosses) when the %K line crosses below the %D line and the average is above 50.
4. **Signal Confirmation**: Signals are confirmed using historical data with an offset of 1 bar to ensure that the crossover is evaluated after the close of the candlestick, thus avoiding repainting issues.
5. **Visual Indicators**: Buy signals are represented by green upward-pointing triangles placed below the bars, while sell signals are indicated by red downward-pointing triangles above the bars.
6. **Alerts**: The indicator includes alert conditions for both golden crosses and death crosses, notifying users when a potential buy or sell signal has been identified based on the stochastic crossover.
This indicator can be a valuable tool for traders who follow stochastic momentum signals and prefer to have dynamic adjustments based on the chart's time frame. It is important to note that, as with all trading indicators, the "Signal" indicator should be used in conjunction with other forms of analysis to confirm trading signals and manage risk effectively.
Dynamic Momentum Oscillator (DMO) [Angel Algo]Dynamic Momentum Oscillator (DMO)
OVERVIEW: The Dynamic Momentum Oscillator (DMO) is a technical indicator designed to measure the momentum of price movements in financial markets. It combines momentum calculation with dynamic range assessment to provide insights into potential trend reversals and overbought/oversold conditions.
DMO is different from classic momentum oscillators like the RSI or Stochastic Oscillator because it looks at the momentum in relation to how much the price is moving. This helps it give signals that better match what's happening in the market, especially when the market's volatility is changing.
HOW TO USE:
Interpretation:
Thresholds: Horizontal lines mark user-defined threshold levels for overbought (OB) and oversold (OS) conditions, aiding in identifying potential trend pullbacks and reversals.
DMO Line: The primary line on the indicator plot. It reflects momentum in relation to the dynamic price range. Positive values indicate bullish momentum, while negative values indicate bearish momentum.
Filled Area: The area between the DMO line and the zero line is filled with color to enhance visualization of momentum shifts.
Trading Signals:
Thresholds: Monitor for potential trend reversals when the DMO crosses above the overbought threshold or below the oversold threshold.
Crossovers: Look for buy signals when the DMO line crosses above the zero and sell signals when it crosses below.
Filled Area: The green color indicates bullish momentum, red indicates bearish momentum and gray color indicates neutral conditions.
Signals: Circles appear on the chart when the DMO crosses the overbought or oversold thresholds, indicating conditions for potential trend pullbacks or reversals.
SETTINGS:
Length: Adjust the length parameter to vary the number of periods considered in the momentum calculation.
Smoothing: Enable or disable smoothing of the DMO line using the provided option.
Thresholds: Customize the overbought and oversold threshold levels to suit specific market conditions and trading preferences.
Disclaimer: The DMO indicator serves as part of a comprehensive trading strategy and should not be solely relied upon for trading decisions. Past performance is not indicative of future results, and trading involves inherent risks.
Awesome Oscillator + Bars count lines + EMA LineThe indicator includes an Awesome Oscillator with 2 vertical lines at a distance of 100 and 140 bars from the last bar to determine the third Elliott wave by the maximum peak of AO in the interval from 100 to 140 bars according to Bill Williams' Profitunity strategy. Additionally, a faster EMA line is displayed that calculates the difference between 5 Period and 34 Period Exponential Moving Averages (EMA 5 - EMA 34) based on the midpoints of the bars, just like AO calculates the difference between Simple Moving Averages (SMA 5 - SMA 34).
In the indicator settings, you can change the number of bars for vertical lines and any parameters for AO and EMA - method (SMA, Smoothed SMA, EMA and others), length, source (open, high, low, close, hl2 and others).
***
Индикатор включает Awesome Oscillator с 2 вертикальными линиями на расстоянии 100 и 140 баров от последнего бара, чтобы определить третью волну Эллиота по максимальному пику AO в интервале от 100 до 140 баров по стратегии Profitunity Билла Вильямса. Дополнительно отображается более быстрая линия EMA, которая вычисляет разницу между 5 Периодной и 34 Периодной Экспоненциальными Скользящими Средними (EMA 5 - EMA 34) по средним точкам баров (hl2), точно так же, как AO вычисляет разницу между Простыми Скользящими Средними (SMA 5 - SMA 34).
В настройках индикатора вы можете изменить количество баров для вертикальных линий и любые параметры для AO и EMA – метод (SMA, Smoothed SMA, EMA и другие), длину, источник (open, high, low, close, hl2 и другие).
CVI Tops/Bottoms Detector [AstroHub]
Welcome to the realm of precision trading with the CVI Tops/Bottoms Detector by AstroHub. Crafted with a keen eye on market dynamics, this indicator stands as a reliable tool for identifying potential trend reversals and market turning points.
Key Features of the Indicator:
The CVI Tops/Bottoms Detector, developed by AstroHub, is a powerful tool designed to detect tops and bottoms in the market. Its calculations are based on sound mathematical principles, ensuring accurate identification of bullish and bearish signals. 🔍
Calculation Period and Thresholds:
Calculation Period: Adjust the "Period" parameter to tailor the indicator to different timeframes.
Thresholds: Set the "Bullish Threshold" and "Bearish Threshold" to determine the sensitivity of the indicator to potential market shifts.
CVI Calculation:
The indicator calculates the Current Volume Index (CVI) by considering the difference between the closing price and the smoothed average, normalized by volatility. This innovative approach provides a clear view of market sentiment.
Visual Signals and Alerts:
Bullish and Bearish Signals: Clearly defined signals are represented by diamond shapes on the chart, accompanied by color-coded indications.
Gradient Colors: Gradient colors add a visual dimension to the signals, making it easier to interpret market trends.
Connecting Lines: Lines connect signals, offering a visual guide for understanding the flow of the market.
Symbol Transparency:
Customize the transparency of the underlying symbol to ensure clarity in signal visualization.
User-Friendly Customization:
Flexible Coloring: Tailor the colors of bullish and bearish signals to match your preferences.
Line Colors: Adjust line colors to enhance visibility.
Alerts: Receive timely alerts when a new bullish or bearish signal is detected.
Usage Example:
Open the indicator settings.
Adjust the "Period" to match your desired timeframe.
Fine-tune the "Bullish" and "Bearish Thresholds" based on your risk tolerance.
Experiment with customizing colors and transparency to suit your visual preferences.
Alerts for Proactive Trading:
Activate alerts to stay informed about potential bullish or bearish market opportunities. 🚨
By integrating the CVI Tops/Bottoms Detector into your trading toolkit, you gain a powerful ally in navigating the dynamic landscape of financial markets. 🌐💹
Harmonic Strings and Oscillations [AstroHub] Harmonic Strings and Market Oscillations Indicator
Welcome to the exciting world of trading with the Harmonic Strings and Market Oscillations indicator, crafted using cutting-edge principles of string theory and harmonic oscillations. 🚀 This innovative indicator provides precise trading signals by analyzing market dynamics.
Unique Features of the Indicator:
Harmonic Strings and Market Oscillations stand out for its originality in applying string theory principles. The indicator's calculations are based on mathematical concepts, ensuring accurate identification of entry and exit points in the market. 🔍
Key Concepts and Calculations:
The indicator utilizes harmonic oscillation formulas, where each parameter (string length, amplitude, frequency) plays a crucial role in analyzing market fluctuations. These calculations offer precise signals for decision-making in trading operations. 📈
Application in Various Strategies:
Long-Term Investing:
Increase the "String Length" to identify long-term trends.
Example: Set "String Length" to a higher level (e.g., 200) to better identify long-term trends in stocks.
Example Usage: Long-term trend in stocks: Set "String Length" to 200 to effectively identify stable long-term trends.
Moving Market Movements:
Decrease "String Length" and increase "Frequency of Oscillations" to detect short-term movements.
Example: Set "String Length" to a lower level (e.g., 50) and increase "Frequency of Oscillations" to effectively identify short-term movements in the currency market.
Example Usage: Intraday trading on the currency market: Set "String Length" to 50 to catch short-term trends.
These variations allow flexible adjustment of the indicator according to your trading strategies and timeframes. Experiment with parameters to find the optimal combination to achieve your specific goals in financial markets. 💼
Ease of Use:
The indicator provides access to parameters such as "String Length," "Amplitude of Oscillations," "Frequency of Oscillations," and "Entry Threshold." This ensures flexibility in customization based on the trader's individual preferences.
Visual Signals and Alerts:
Use color-coded bars to highlight entry and exit points. Apply alerts for timely responses to market opportunities. 🚨
Non-Programmer Usage Example:
Open the indicator settings.
Adjust "String Length" based on your trading strategy.
Fine-tune "Amplitude" to control signal strength.
Experiment with "Frequency" to adapt to different market conditions.
By integrating various usage strategies, Harmonic Strings and Market Oscillations becomes your reliable tool for adapting to diverse market conditions and achieving success in trading. 🌐💹
Dynamic Momentum GaugeOverview
The Dynamic Momentum Gauge is an indicator designed to provide information and insights into the trend and momentum of a financial asset. While this indicator is not directional , it helps you know when there will be a trend, big move, or when momentum will have a run, and when you should take profits.
How It Works
This indicator calculates momentum and then removes the negative values to focus instead on when the big trend could likely happen and when it could end, or when you should enter a trade based on momentum or exit. Traders can basically use this indicator to time their market entries or exits, and align their strategies with momentum dynamics.
How To Use
As previously mentioned, this is not a directional indicator but more like a timing indicator. This indicator helps you find when the trend moves, and big moves in the markets will occur and its possibly best to exit the trades. For example, if you decide to enter a long trade if the Dynamic Momentum Gauge value is at an extreme low and another momentum indicator that you use has conditions that you would consider to long with, then this indicator is basically telling you that there isn't more space for the momentum to squeeze any longer, can only really expand from that point or stay where it currently is, but this is also a mean reverting process so it does tend to go back up from the low point.
Settings:
Length: This is the length of the momentum, by default its at 100.
Normalization Length: Length of the Normalization which ensures the the values fall within a consistent range.
ML - Momentum Index (Pivots)Building upon the innovative foundations laid by Zeiierman's Machine Learning Momentum Index (MLMI), this variation introduces a series of refinements and new features aimed at bolstering the model's predictive accuracy and responsiveness. Licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), my adaptation seeks to enhance the original by offering a more nuanced approach to momentum-based trading.
Key Features :
Pivot-Based Analysis: Shifting focus from trend crosses to pivot points, this version employs pivot bars to offer a distinct perspective on market momentum, aiding in the identification of critical reversal points.
Extended Parameter Set: By integrating additional parameters for making predictions, the model gains improved adaptability, allowing for finer tuning to match market conditions.
Dataset Size Limitation: To ensure efficiency and mitigate the risk of calculation timeouts, a cap on the dataset size has been implemented, balancing between comprehensive historical analysis and computational agility.
Enhanced Price Source Flexibility: Users can select between closing prices or (suggested) OHLC4 as the basis for calculations, tailoring the indicator to different analysis preferences and strategies.
This adaptation not only inherits the robust framework of the original MLMI but also introduces innovations to enhance its utility in diverse trading scenarios. Whether you're looking to refine your short-term trading tactics or seeking stable indicators for long-term strategies, the ML - Momentum Index (Pivots) offers a versatile tool to navigate the complexities of the market.
For a deeper understanding of the modifications and to leverage the full potential of this indicator, users are encouraged to explore the tooltips and documentation provided within the script.
The Momentum Indicator calculations have been transitioned to the MLMomentumIndex library, simplifying the process of integration. Users can now seamlessly incorporate the momentumIndexPivots function into their scripts to conduct detailed momentum analysis with ease.
GKD-C Chartmill Value [Loxx]The Giga Kaleidoscope GKD-C Chartmill ValueChartmill Value is a confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System."
█ GKD-C Chartmill ValueChartmill Value
The script creates a framework for generating various moving averages, enabling users to apply these calculations to the Chartmill Value indicator, a tool for market analysis. It facilitates dynamic selection among several moving average types—each offering a unique perspective on price data—and incorporates these into the indicator's formula. The Chartmill Value indicator is further enhanced with an option to adjust its sensitivity to market volatility, leveraging a modified algorithm that considers the Average True Range (ATR) and the length of the period analyzed. This adaptability makes the Chartmill Value indicator a powerful tool for traders and analysts seeking to gauge market trends with precision, by tailoring the indicator's behavior to reflect different market conditions and trading strategies.
█ Giga Kaleidoscope Modularized Trading System
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
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
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, and the Average Directional Index (ADX).
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.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 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)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
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: Multi-Ticker CC Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Advance Trend Pressure as shown on the chart above
Confirmation 2: uf2018
Continuation: Coppock Curve
Exit: Rex Oscillator
Metamorphosis: Baseline Optimizer
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
? Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
Ichimoku OscillatorHello All,
This is Ichimoku Oscillator that creates different oscillator layers, calculates the trend and possible entry/exit levels by using Ichimoku Cloud features.
There are four layer:
First layer is the distance between closing price and cloud (min or max, depending on the main trend)
Second layer is the distance between Lagging and Cloud X bars ago (X: the displacement)
Third layer is the distance between Conversion and Base lines
Fourth layer is the distance between both Leadlines
If all layers are visible maning that positive according to the main trend, you can take long/short position and when main trend changed then you should close the position. so it doesn't mean you can take position when main trend changed, you need to wait for all other conditions met (all layers(
there is take profit partially option. if Conversion and base lines cross then you can take profit partially. Optionally you can take profit partially when EMA line crosses Fourth layer.
Optionally ATR (average true range) is used for Conversion and baseline for protection from whipsaws. you can use it to stay on the trend longer time.
I added options to enable/disable the alert and customize alert messages. You can change alert messages as you wish. if you use ' close ' in the alert message then you can get closing price in the alert message when the alert was triggered.
There is an option Bounce Off Support/Resistance , if there is trend and if the price bounce off Support/Resistance zone then a tiny triangle is shown.
There are many other options for coloring, alerts etc.
Some screenshots:
Main trend:
Taking/closing positions:
Example alert messages:
Bounce off:
Colors:
Colors:
Colors:
Non-colored background:
P.S. For a few months I haven't published any new script because of some health issues. hope to be healthy and create new scripts in 2024 :)
Enjoy!
F.B_Consolidation Range Identifier
The "F.B_Consolidation Range Identifier" (F.B_CRI) is an indicator aimed at identifying consolidation areas in the price chart. Here is an explanation of the logic and usage of this indicator:
Calculation of Standard Deviation
This indicator analyzes the market's volatility by considering the standard deviation of price movements over a defined period. A higher standard deviation indicates larger price movement, while a lower standard deviation suggests potential consolidation, where price movements are limited.
Derivation of Standard Deviation
To track changes in volatility, the derivative of the standard deviation is calculated. Positive derivative values indicate increasing volatility, while negative values suggest a decrease in volatility. This allows for the identification of potential consolidation phases where volatility decreases, and the market may stabilize.
Identification of Consolidation Phase
The indicator signals potential consolidation phases when the standard deviation is low and/or the derivative of the standard deviation is negative. To represent consolidation phases on the chart, the standard deviation line, background, and candles are colored red. However, it's important to note that the display is customizable and can be configured according to individual needs.
🚨 Important 🚨
The indicator only indicates whether consolidation phases exist. If the standard deviation line, background, or candles are gray, it indicates that a trend exists in general, but not whether it is bullish or bearish. It is advisable to use other analytical tools to confirm the direction of the trend.
Crypto Stablecoin Supply - Indicator [presentTrading]█ Introduction and How it is Different
The "Stablecoin Supply - Indicator" differentiates itself by focusing on the aggregate supply of major stablecoins—USDT, USDC, and DAI—rather than traditional price-based metrics. Its premise is that fluctuations in the total supply of these stablecoins can serve as leading indicators for broader market movements, offering traders a unique vantage point to anticipate shifts in market sentiment.
BTCUSD 6h for recent bull market
BTCUSD 8h
█ Strategy, How it Works: Detailed Explanation
🔶 Data Collection
The strategy begins with the collection of the closing supply for USDT, USDC, and DAI stablecoins. This data is fetched using a specified timeframe (**`tfInput`**), allowing for flexibility in analysis periods.
🔶 Supply Calculation
The individual supplies of USDT, USDC, and DAI are then aggregated to determine the total stablecoin supply within the market at any given time. This combined figure serves as the foundation for the subsequent statistical analysis.
🔶 Z-Score Computation
The heart of the indicator's strategy lies in the computation of the Z-Score, which is a statistical measure used to identify how far a data point is from the mean, relative to the standard deviation. The formula for the Z-Score is:
Z = (X - μ) / σ
Where:
- Z is the Z-Score
- X is the current total stablecoin supply (TotalStablecoinClose)
- μ (mu) is the mean of the total stablecoin supply over a specified length (len)
- σ (sigma) is the standard deviation of the total stablecoin supply over the same length
A moving average of the Z-Score (**`zScore_ma`**) is calculated over a short period (defaulted to 3) to smooth out the volatility and provide a clearer signal.
🔶 Signal Interpretation
The Z-Score itself is plotted, with its color indicating its relation to a defined threshold (0.382), serving as a direct visual cue for market sentiment. Zones are also highlighted to show when the Z-Score is within certain extreme ranges, suggesting overbought or oversold conditions.
Bull -> Bear
█ Trade Direction
- **Entry Threshold**: A Z-Score crossing above 0.382 suggests an increase in stablecoin supply relative to its historical average, potentially indicating bullish market sentiment or incoming capital flow into cryptocurrencies.
- **Exit Threshold**: Conversely, a Z-Score dropping below -0.382 may signal a reduction in stablecoin supply, hinting at bearish sentiment or capital withdrawal.
█ Usage
Traders can leverage the "Stablecoin Supply - Indicator" to gain insights into the underlying market dynamics that are not immediately apparent through price analysis alone. It is particularly useful for identifying potential shifts in market sentiment before they are reflected in price movements. By integrating this indicator with other technical analysis tools, traders can develop a more rounded and informed trading strategy.
█ Default Settings
- Timeframe Input (`tfInput`): Allows users to specify the timeframe for data collection, adding flexibility to the analysis.
- Z-Score Length (`len`): Set to 252 by default, representing the period over which the mean and standard deviation of the stablecoin supply are calculated.
- Color Coding: Uses distinct colors (green for bullish, red for bearish) to indicate the Z-Score's position relative to its thresholds, enhancing visual clarity.
- Extreme Range Fill: Highlights areas between defined high and low Z-Score thresholds with distinct colors to indicate potential overbought or oversold conditions.
By integrating considerations of stablecoin supply into the analytical framework, the "Stablecoin Supply - Indicator" offers a novel perspective on cryptocurrency market dynamics, enabling traders to make more nuanced and informed decisions.
