Heatmap MACD StrategyHello traders
A customer gave me the idea indirectly after I made an update to that script:
Supertrend MTF Heatmap
Important Notes
The backtest results aren't relevant for this educational script publication.
I used realistic backtesting data but didn't look too much into optimizing the results, as this isn't the point of why I'm publishing this script.
I wanted to showcase that any Heatmap script can be converted into a strategy.
The strategy default settings are:
Initial Capital: 100000 USD
Position Size: 1 contract
Commission Percent: 0.075%
Slippage: 1 tick
No margin/leverage used
For example, those are realistic settings for trading CFD indices with low timeframes, but not the best possible settings for all assets/timeframes.
Concept
The Heatmap MACD Strategy allows selecting one MACD in five different timeframes.
You'll get an exit signal whenever one of the 5 MACDs changes direction.
Then, the strategy re-enters whenever all the MACDs are in the same direction again.
It takes:
long trades when all the 5 MACD histograms are bullish
short trades when all the 5 MACD histograms are bearish
You can select the same timeframe multiple times if you don't need five timeframes.
For example, if you only need the 30min, the 1H, and 2H, you can set your timeframes as follow:
30m
30m
30m
1H
2H
Risk Management Features
Nothing too fancy
All the features below are pips-based
Stop-Loss
Trailing Stop-Loss
Stop-Loss to Breakeven after a certain amount of pips has been reached
Take Profit 1st level and closing X% of the trade
Take Profit 2nd level and close the remaining of the trade
What's next?
I'll publish this script's open-source Pineconnector, ProfitView, and AutoView versions for educational purposes.
Thank you
Dave
Ortalanmış Osilatörler
Triple Ehlers Market StateClear trend identification is an important aspect of finding the right side to trade, another is getting the best buying/selling price on a pullback, retracement or reversal. Triple Ehlers Market State can do both.
Three is always better
Ehlers’ original formulation produces bullish, bearish and trendless signals. The indicator presented here gate stages three correlation cycles of adjustable lengths and degree thresholds, displaying a more refined view of bullish, bearish and trendless markets, in a compact and novel way.
Stick with the default settings, or experiment with the cycle period and threshold angle of each cycle, then choose whether ‘Recent trend weighting’ is included in candle colouring.
John Ehlers is a highly respected trading maths head who may need no introduction here. His idea for Market State was published in TASC June 2020 Traders Tips. The awesome interpretation of Ehlers’ work on which Triple Ehlers Market State’s correlation cycle calculations are based can be found at:
DISCLAIMER: None of this is financial advice.
Crypto Spot/Futures Dominance Indicator with AlertsFutures/Spot Dominance Indicator:
Overview:
The futures/spot dominance indicator is a versatile tool used by traders and analysts to assess the relative strength or dominance of the futures market in relation to the spot (or cash) market for a specific asset. It offers insights into market sentiment, potential arbitrage opportunities, and risk management while incorporating the VWAP indicator for added context.
How It Works:
This indicator automatically detects and adapts to the futures symbol applied to the chart, simplifying the setup for traders. However, it still necessitates manual input of the corresponding spot pair to ensure accuracy.
Automatic Futures Symbol Detection: The indicator starts by automatically detecting the futures symbol on the trading chart, eliminating the need for manual configuration. This ensures that the indicator is applied to the correct futures contract.
Manual Spot Pair Entry: To provide a reliable reference point for the comparison, traders must manually input the corresponding spot symbol via the indicator's inputs. For instance, if the indicator detects the BTCUSDT.P futures symbol, traders would manually enter the BTCUSDT spot symbol.
Gathering Data: The indicator collects historical price data for both the detected futures contract and the manually specified spot symbol. This data includes open, high, low, and close prices, as well as trading volume.
VWAP Calculation: To gain a deeper understanding of price trends and market dynamics, the indicator calculates the VWAP (Volume Weighted Average Price) for both the futures and spot markets. The VWAP places more weight on prices with higher trading volume, offering a weighted average that reflects market consensus.
Premium/Discount Calculation: By subtracting the VWAP of the spot market from the VWAP of the futures market, the indicator quantifies the premium or discount of the futures price concerning the spot price. A positive value indicates a premium, while a negative value suggests a discount.
Plotting: The premium/discount value is displayed as a line on the chart, often alongside moving averages or other smoothing techniques for improved trend analysis.
Alerts: In addition to its analysis capabilities, this indicator now includes alerts to enhance your trading experience. It alerts you in the following scenarios:
Premium Above Average: Notifies you when the premium crosses above the average line.
Premium Below Average: Alerts you when the premium crosses below the average line.
Premium Above Zero: Provides an alert when the premium crosses above the zero line.
Premium Below Zero: Generates an alert when the premium crosses below the zero line.
Benefits of the Futures/Spot Dominance Indicator:
Sentiment Analysis: Traders use the indicator to assess market sentiment. A futures premium might signify bullish sentiment, while a discount could indicate bearish sentiment.
Arbitrage Opportunities: Identifying price discrepancies between futures and spot markets can help traders spot arbitrage opportunities, where they can profit from price differentials.
Risk Management: The indicator assists in evaluating risks associated with futures positions, helping traders manage their exposure effectively.
Trend Confirmation: When used in conjunction with other technical indicators, futures/spot dominance, along with VWAP, can provide additional confirmation of price trends.
Hedging: Investors and corporations use this tool to gauge the effectiveness of hedging strategies based on futures contracts.
Speculative Trading: Traders and investors use the indicator to inform speculative positions, aligning their trades with perceived market strength or weakness.
Insightful Analysis: Futures/spot dominance analysis, enriched by VWAP data, offers insights into market behavior during specific events or changes in economic conditions.
In summary, the futures/spot dominance indicator, with its integration of VWAP and automatic futures symbol detection, provides traders and investors with a comprehensive tool to assess market dynamics. It aids in sentiment analysis, risk management, and trend confirmation while offering potential arbitrage opportunities. The newly added alerts enhance the indicator's functionality, providing timely notifications of key market events. However, it relies on manual input of the corresponding spot pair to ensure precise comparisons between futures and spot markets. It should be used alongside other analysis techniques for a well-rounded view of the market.
Weighted Bulls-Bears Variety Smoothed [Loxx]Weighted Bulls-Bears Variety Smoothed highlights potential buy and sell moments in the market. Users can customize the data source and select their preferred type of moving average for calculations. The resulting visualization is a column-style plot that changes color based on bullish or bearish market conditions. Additionally, the script can color chart bars and provide visual markers to indicate buying ("Long") or selling ("Short") opportunities. Alerts can also be set for these trading signals.
█ Inputs:
Users can choose the source for calculations (e.g., closing price).
They can set periods for calculations and smoothing.
They can select the type of moving average they prefer for smoothing: EMA, FEMA, LWMA, SMA, or SMMA.
█ Weighted Bulls-Bears Calculation:
It determines the highest and lowest prices over a user-defined period.
Then, it calculates the 'bull' and 'bear' values based on these highest and lowest prices. These values are weighted based on their distance from the current price.
█ Extras
Alerts
Signals
Auto Fibo on IndicatorsThis drawing tool aims to draw auto Fibonacci Retracement Levels on desired indicators.
Users can define the target indicator to draw Auto Fibo Lines, from the "settings tab":
There are six commonly used indicators below the charts that can be selected to draw Fibonacci Retracement lines on:
RSI : Relative Strength Index
CCI : Commodity Channel Index
MFI : Money Flow Index
STOCHASTIC : Stochastic Oscillator
CMF : Chaikin Money Flow
CMO : Chande Momentum Oscillator
Fibonacci Retracement Levels will appear automatically after applying the indicator.
The "Auto Fibo on Indicators" tool looks back. It checks the indicator levels for a desired number of bars and then draws the Fibonacci Levels automatically in the right way, considering the final movements of the indicator.
There are five commonly used Fibonacci Levels added between the Highest and Lowest values such as:
%23.6
%38.2
%50 (Not precisely a Fibonacci Level, indeed)
%61.8 (Golden Ratio)
%78.6
Four extra levels can be added from the settings tab by checking their boxes:
%127.2 (adjustable level)
%161.8
%261.8
%361.8
Default lookback bars of Auto Fibo Levels: 144 (which is also a Fibonacci number)
Default Indicator: RSI
Default Indicator length: 14
Default data source: CLOSE
Users can also define and show overbought and oversold levels by unchecking the "Do not Show Indicator Overbought / Oversold Levels?" button from the settings menu.
In technical analysis, Fibonacci Levels on price can guide valuable trading signals for investors.
Levels can be significant support and resistance levels for breakouts and turning points.
This drawing tool aims to follow those necessary levels on indicators to observe critical levels and breakouts.
MACD AreaThis indicator calculates and displays the cumulative area for each region above and below the zero line in the MACD histogram. This area measurement serves as a momentum metric, where larger cumulative areas indicate stronger momentum. Divergences between the area and price can also potentially indicate an impending reversal. For example, when the stock price makes a higher high but the area makes a lower high, the current momentum may be unsustainable.
Double MACD Pattern 1.0This script is designed to assist traders in identifying potential trading signals and trends based on the MACD indicator. Users can adjust the input parameters to fine-tune the indicator to their trading preferences. When specific conditions are met, alerts are generated to notify the user of potential trading opportunities.
Indicator Description:
The script defines a custom indicator that calculates and plots two sets of Moving Average Convergence Divergence (MACD) lines along with their signal lines.
It allows users to configure various parameters for MACD calculation, such as fast and slow lengths for both MACD 1 and MACD 2, as well as signal lengths for both.
Plotting:
The script plots the MACD lines and signal lines for both MACD 1 and MACD 2 on the chart with different colors and line styles.
It also plots a middle line at zero for reference.
Alerts:
The script defines conditions for generating alerts based on MACD crossover and crossunder events for both MACD 1 and MACD 2.
Alerts are generated for the following scenarios:
A long signal is generated when MACD 1 crosses under its signal line while MACD 2 crosses over its signal line.
A short signal is generated when MACD 1 crosses over its signal line while MACD 2 crosses under its signal line.
An up trend signal is generated when MACD 2 crosses over MACD 1.
A down trend signal is generated when MACD 1 crosses over MACD 2.
Alerts are included in the script to notify users of these specific trading signals.
Please note that this script is meant for educational purposes and should be used cautiously in a real trading environment. It's important to have a thorough understanding of technical analysis and risk management when using such indicators in actual trading.
Weighted Oscillator Convergence DivergenceThe Weighted Oscillator Convergence Divergence (WOCD) aims to help traders identify potential trend reversals or momentum shifts in financial markets by calculating and visualizing the difference between a smoothed oscillator (WMA) value and its exponential moving average (EMA) and simple moving average (SMA) counterparts. This indicator is particularly useful for traders who want an alternative perspective on price momentum and divergence.
Key Features:
Inputs:
Length: The user can specify the number of bars to consider for calculations (default is 9).
Smoothing 1: Defines the smoothing factor for the first smoothed value (default is 5).
Smoothing 2: Specifies the smoothing factor for the second smoothed value (default is 7).
Ma Type: There are three types of moving averages you can choose (Wilder, non-lag, Weighted is by default).
Color Settings: Users can customize the indicator's colors for various elements, such as length, smoothing values, and different sections of the histogram.
Calculation:
WOCD calculates the raw oscillator value by subtracting the close price from a 3-period High, Low, Close (HLC3) moving average.
It then applies smoothing to this raw oscillator value using two different methods: exponential moving average (EMA) and simple moving average (SMA) with user-defined smoothing periods.
Histogram Plot:
The indicator plots a histogram based on the difference between the smoothed oscillator and the first smoothed value.
When the histogram is above zero and rising, it is colored according to the "Above Grow" color setting. When it's above zero and falling, it uses the "Fall" color for visualization.
Similarly, when the histogram is below zero and rising, it is colored according to the "Below Grow" color setting, and when it's below zero and falling, it uses the "Fall" color.
Oscillator and Smoothed Values:
The indicator also plots the smoothed oscillator, smoothed value 1 (EMA-based), and smoothed value 2 (SMA-based) on the chart.
Zero Line:
A horizontal line at zero is drawn on the chart for reference.
How to Use the WOCD Indicator:
Trend Identification: Observe the histogram's direction and color. A rising histogram above zero may indicate bullish momentum, while a falling histogram below zero could signal bearish momentum.
Divergence: Look for divergences between price action and the histogram. When the histogram and price move in opposite directions, it can be a potential reversal signal.
Crossovers: Pay attention to crossovers between the smoothed oscillator and its smoothed counterparts (EMA and SMA). These crossovers can indicate changes in trend strength or direction.
Zero Line: The zero line can act as a reference point. Positive histogram values suggest bullish sentiment, while negative values indicate bearish sentiment.
Comparison to MACD Indicator:
The WOCD indicator shares some similarities with the Moving Average Convergence Divergence (MACD) indicator but also has distinct differences:
Similarities:
Both WOCD and MACD are momentum oscillators designed to identify potential trend reversals and divergences.
They use moving averages (EMA in the case of MACD) to smooth the raw oscillator values.
Both indicators provide histogram representations of the difference between the oscillator and its smoothed counterpart.
Differences:
WOCD uses a 3-period High, Low, Close (HLC3) moving average to calculate the raw oscillator value, whereas MACD uses the difference between two exponential moving averages (usually 12-period and 26-period EMAs).
The smoothing in WOCD employs both EMA and SMA, while MACD exclusively uses EMA.
WOCD allows users to customize colors for various elements, enhancing visual clarity.
Momentum ChannelbandsThe "Momentum Channelbands" is indicator that measures and displays an asset's momentum. It includes options to calculate Bollinger Bands and Donchian Channels around the momentum. Users can customize settings for a comprehensive view of momentum-related insights. This tool helps assess trend strength, identify overbought/oversold conditions, and pinpoint highs/lows. It should be used alongside other indicators due to potential lag and false signals.
TASC 2023.10 COT Commercials Indicator█ OVERVIEW
This script implements the COT Commercials Indicator introduced by Alfred François Tagher in an article featured in TASC's October 2023 edition of Traders' Tips . The indicator is designed for use in futures markets and represents a fast stochastic (%K) calculated based on the commercial open interest values of an asset derived from the weekly Commitments Of Traders (COT) report .
█ CONCEPTS
The COT report, issued by the Commodity Futures Trading Commission (CFTC) , presents a breakdown of reportable open interest positions held by various trader groups—commercial, noncommercial, and nonreportable (small traders). Open interest reflects the total number of derivative contracts entered by market participants but not yet settled. Consequently, it can serve as a measure of market activity and liquidity.
The indicator showcased here aims to analyze changes in the reported net values of open interest for commercial traders/hedgers (often referred to as 'smart money', as they deal directly in underlying commodities). The net values are positive when the commercial traders have more long positions than short ones and negative when they hold more short positions than long ones. Positive net values indicate that commercial traders hold more long positions than short ones, while negative values indicate the opposite. Thus, overbought and oversold conditions of the COT Commercials Indicator potentially suggest collective bullish and bearish sentiments, respectively.
█ CALCULATIONS
The calculations involve these steps:
1. Net open interest values are extracted from COT data using the LibraryCOT library provided by TradingView.
2. A fast stochastic indicator (%K) is then applied to normalize these net values.
The script also provides an option of calculating and plotting the indicator curve for noncommercial (speculators) open interest.
Alxuse MACD for tutorialAll abilities of MACD, moreover :
Drawing upper band and lower band & the ability to change values, change colors, turn on/off show.
Crossing MACD line and SIGNAL line in multi timeframe & there are symbols (Circles) with green color (Buy) and red color (Sell) & the ability to change colors, turn on/off show.
Crossing MACD line and SIGNAL line in multi timeframe according to the values of upper band and lower band & there are symbols (Triangles) with green color (Long) and red color (Short) & the ability to change colors, turn on/off show.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
MACD (Moving Average Convergence/Divergence)
Definition
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
MACD Line is a result of taking a longer term EMA and subtracting it from a shorter term EMA.The most commonly used values are 26 days for the longer term EMA and 12 days for the shorter term EMA, but it is the trader's choice.
The Signal Line.
The Signal Line is an EMA of the MACD Line described in Component 1. The trader can choose what period length EMA to use for the Signal Line however 9 is the most common.
The MACD Histogram.
As time advances, the difference between the MACD Line and Signal Line will continually differ. The MACD histogram takes that difference and plots it into an easily readable histogram. The difference between the two lines oscillates around a Zero Line.
A general interpretation of MACD is that when MACD is positive and the histogram value is increasing, then upside momentum is increasing. When MACD is negative and the histogram value is decreasing, then downside momentum is increasing.
What to look for
The MACD indicator is typically good for identifying three types of basic signals; Signal Line Crossovers, Zero Line Crossovers, and Divergence.
SIGNAL LINE CROSSOVERS
A Signal Line Crossover is the most common signal produced by the MACD. First one must consider that the Signal Line is essentially an indicator of an indicator. The Signal Line is calculating the Moving Average of the MACD Line. Therefore the Signal Line lags behind the MACD line. That being said, on the occasions where the MACD Line crosses above or below the Signal Line, that can signify a potentially strong move.
The strength of the move is what determines the duration of Signal Line Crossover. Understanding and being able to analyze move strength, as well as being able to recognize false signals, is a skill that comes with experience.
The first type of Signal Line Crossover to examine is the Bullish Signal Line Crossover. Bullish Signal Line Crossovers occur when the MACD Line crosses above the Signal Line.
The second type of Signal Line Crossover to examine is the Bearish Signal Line Crossover. Bearish Signal Line Crossovers occur when the MACD Line crosses below the Signal Line.
Zero line crossovers
Zero Line Crossovers have a very similar premise to Signal Line Crossovers. Instead of crossing the Signal Line, Zero Line Crossovers occur when the MACD Line crossed the Zero Line and either becomes positive (above 0) or negative (below 0).
The first type of Zero Line Crossover to examine is the Bullish Zero Line Crossover. Bullish Zero Line Crossovers occur when the MACD Line crosses above the Zero Line and go from negative to positive.
The second type of Zero Line Crossover to examine is the Bearish Zero Line Crossover. Bearish Zero Line Crossovers occur when the MACD Line crosses below the Zero Line and go from positive to negative.
Divergence
Divergence is another signal created by the MACD. Simply put, divergence is when the MACD and actual price are not in agreement.
For example, Bullish Divergence occurs when price records a lower low, but the MACD records a higher low. The movement of price can provide evidence of the current trend, however changes in momentum as evidenced by the MACD can sometimes precede a significant reversal.
Bearish Divergence is, of course, the opposite. Bearish Divergence occurs when price records a higher high while the MACD records a lower high.
Summary
What makes the MACD such a valuable tool for technical analysis is that it is almost like two indicators in one. It can help to identify not just trends, but it can measure momentum as well. It takes two separate lagging indicators and adds the aspect of momentum which is much more active or predictive That kind of versatility is why it has been and is used by trader's and analysts across the entire spectrum of finance.
Despite MACD's obvious attributes, just like with any indicator, the trader or analyst needs to exercise caution. There are just some things that MACD doesn't do well which may tempt a trader regardless. Most notably, traders may be tempted into using MACD as a way to find overbought or oversold conditions. This is not a good idea. Remember, MACD is not bound to a range, so what is considered to be highly positive or negative for one instrument may not translate well to a different instrument.
With sufficient time and experience, almost anybody who wants to analyze chart data should be able to make good use out of the MACD.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
Rolling VWAP OscillatorTL;DR - TradingView's Rolling VWAP as centered oscillator
I really like TradingView's rolling VWAP (Rolling Volume-Weighted Average Price - RVWAP) indicator. But I also like clean charts that's why I'm mainly using indicators which are not displayed on the chart. Instead of simply moving the RVWAP to another pane I turned it into a centered oscillator. This allows me checking the RVWAP while having my chart clean.
You can find the oroginal RVWAP here .
Creds to TradingView for creating this indicator 👍
* I also added a fourth deviation band, gradient colors and the option to switch between candles and lines.
Math NeuronThis open source script uses the mathematical rules of a classic two-input neuron with two weights and one bias(x * w1 + y*w2 + b).
The two inputs are the rsi (length 14) of close and volume, The result that we try to anticipate is the development of a pivot high or a pivot low (high or low candle are the max or min of the previous n° )
The activation function is sigmoid(binary results).
Zaree - Bull & Bear Volume VoidThe "Zaree - Bull & Bear Volume Void" (BBVV) indicator is a versatile tool designed to help traders assess the dynamics of bull and bear power in the market, with a focus on volume-based analysis. This indicator offers a range of features that aid in identifying potential shifts in market sentiment and strength.
Details of the Indicator:
Volume Void Color Settings: This indicator allows you to customize the colors used for different conditions, such as strong bull areas, slowing bull areas, strong bear areas, and slowing bear areas. These colors play a crucial role in visualizing the indicator's output.
Volume Void Settings: The BBVV indicator provides options for selecting specific volume void functions, which include "Relative Volume Comparison," "Percentage of Average Volume," "Fixed Volume Threshold," "Volatility-Adjusted Volume," "Compare to Previous Volume Bars," "Volume Percentile Rank," and "Market Session Comparison." Each function has its own criteria for evaluating volume conditions.
Void Bull Sensitivity and Void Bear Sensitivity: These are key parameters in the settings. The values you choose for void bull sensitivity and void bear sensitivity will significantly impact the background color displayed by the indicator. Properly configuring these values is crucial for the indicator's effectiveness.
Moving Average Settings: You can specify the source and length of moving averages used in the indicator. This helps in smoothing out data and providing a clearer picture of bull and bear power.
Void Color Background Conditions: The indicator dynamically changes the background color of the chart based on the current market conditions. It takes into account bull and bear power, as well as the configured sensitivity levels to determine whether the market is in a strong or slowing bull/bear phase.
MACD and Signal Lines: The indicator also displays MACD and signal lines on the chart, helping traders identify potential bullish and bearish crossovers.
Histogram Bars: Histogram bars are used to represent the strength of bull and bear power. Above-zero bars indicate bullish strength, while below-zero bars indicate bearish strength.
How to Use the Indicator:
Begin by customizing the color settings for different market conditions to your preference.
Select a volume void function that aligns with your trading strategy and objectives.
Configure the void bull sensitivity and void bear sensitivity values carefully. These values should reflect your desired sensitivity to volume conditions.
Choose the source and length of moving averages based on your analysis requirements.
Pay attention to the background color of the chart. It will change dynamically based on the current market conditions, providing insights into the strength of bull and bear power.
Observe the MACD and signal lines for potential bullish or bearish crossovers, which can be used as additional confirmation signals.
Interpret the histogram bars to gauge the strength of bull and bear power.
Example of Usage:
As a swing trader with a focus on volume analysis, you can use the BBVV indicator to enhance your trading decisions. Here's an example of how you might use the indicator:
Select "Relative Volume Comparison" as the volume void function to assess volume relative to a simple moving average.
Configure void bull sensitivity and void bear sensitivity to match your risk tolerance and trading style.
Choose "SMA" as the moving average type with a suitable length.
Pay attention to the background color changes in the chart. Strong bull areas may indicate potential bullish opportunities, while strong bear areas may signal bearish conditions.
Monitor the MACD and signal lines for potential crossovers, aligning them with the background color to validate your trading decisions.
Use the histogram bars to assess the strength of bull and bear power, helping you gauge market sentiment.
Remember that the BBVV indicator is a valuable tool to complement your trading strategy. It provides insights into volume dynamics and market conditions, allowing you to make informed trading choices.
Be sure to adjust the indicator settings according to your trading preferences and always consider the broader market context in your analysis.
Volatility Adjusted MACDMACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of securities prices, created by Gerald Appel in the late 1970s. It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price.
The MACD indicator (or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price. These three series are: the MACD series proper, the "signal" or "average" series, and the "divergence" series which is the difference between the two. The MACD series is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series. The average series is an EMA of the MACD series itself.
This version of MACD follows the work of Alex Spiroglou, DipTA(ATAA), CFTe in his 2022 paper that was awarded Charles H. Dow Award by CMT Association . The paper is available on papers.ssrn.com or on website.of CMT Association.
Please refer to the paper for details on construction and trading rules . I personally find the volatility adjusted version as described in this paper more responsive in terms of signals and divergences.
Composite Momentum IndicatorComposite Momentum Indicator" combines the signals from several oscillators, including Stochastic, RSI, Ultimate Oscillator, and Commodity Channel Index (CCI) by averaging the standardized values (Z-Scores). Since it is a Z-Score based indicators the values will be typically be bound between +3 and -3 oscillating around 0. Here's a summary of the code:
Input Parameters: Users can customize the look-back period and set threshold values for overbought and oversold conditions. They can also choose which oscillators to include in the composite calculation.
Oscillator Calculations: The code calculates four separate oscillators - Stochastic, RSI, Ultimate Oscillator, and CCI - each measuring different aspects of market momentum.
Z-Scores Calculation: For each oscillator, the code calculates a Z-Score, which normalizes the oscillator's values based on its historical standard deviation and mean. This allows for a consistent comparison of oscillator values across different timeframes.
Composite Z-Score: The code aggregates the Z-Scores from the selected oscillators, taking into account user preferences (whether to include each oscillator). It then calculates an average Z-Score to create the "Composite Momentum Oscillator."
Conditional Color Coding: The composite oscillator is color-coded based on its average Z-Score value. It turns green when it's above the overbought threshold, red when it's below the oversold threshold, and blue when it's within the specified range.
Horizontal Lines: The code plots horizontal lines at key levels, including 0, ±3, ±2, and ±1, to help users identify important momentum levels.
Gradient Fills: It adds gradient fills above the overbought threshold and below the oversold threshold to visually highlight extreme momentum conditions.
Combining the Stochastic, RSI, Ultimate Oscillator, and Commodity Channel Index (CCI) into one composite indicator offers several advantages for traders and technical analysts:
Comprehensive Insight: Each of these oscillators measures different aspects of market momentum and price action. Combining them into one indicator provides a more comprehensive view of the market's behavior, as it takes into account various dimensions of momentum simultaneously.
Reduced Noise: Standalone oscillators can generate conflicting signals and produce noisy readings, especially during choppy market conditions. A composite indicator smoothes out these discrepancies by averaging the signals from multiple indicators, potentially reducing false signals.
Confirmation and Divergence: By combining multiple oscillators, traders can seek confirmation or divergence signals. When multiple oscillators align in the same direction, it can strengthen a trading signal. Conversely, divergence between the oscillators can warn of potential reversals or weakening trends.
Customization: Traders can tailor the composite indicator to their specific trading strategies and preferences. They have the flexibility to include or exclude specific oscillators, adjust look-back periods, and set threshold levels. This adaptability allows for a more personalized approach to technical analysis.
Clarity and Efficiency: Rather than cluttering the chart with multiple individual oscillators, a composite indicator condenses the information into a single plot. This enhances the clarity of the chart and makes it easier for traders to quickly interpret market conditions.
Overbought/Oversold Identification: Combining these oscillators can improve the identification of overbought and oversold conditions. It reduces the likelihood of false signals since multiple indicators must align to trigger these extreme conditions.
Educational Tool: For novice traders and analysts, a composite indicator can serve as an educational tool by demonstrating how different oscillators interact and influence each other's signals. It allows users to learn about multiple technical indicators in one glance.
Efficient Use of Screen Space: A single composite indicator occupies less screen space compared to multiple separate indicators. This is especially beneficial when analyzing multiple markets or timeframes simultaneously.
Holistic Approach: Instead of relying on a single indicator, a composite approach encourages a more holistic assessment of market conditions. Traders can consider a broader range of factors before making trading decisions.
Increased Confidence: A composite indicator can boost traders' confidence in their decisions. When multiple reliable indicators align, it can provide a stronger basis for taking action in the market.
In summary, combining the Stochastic, RSI, Ultimate Oscillator, and CCI into one composite indicator enhances the depth and reliability of technical analysis. It simplifies the decision-making process, reduces noise, and offers a more complete picture of market momentum, ultimately helping traders make more informed and well-rounded trading decisions.
* Feel free to compare against individual oscillatiors*
[blackcat] L3 MACD and RSI Fusion The MACD and RSI fusion is a popular technical analysis strategy used by traders to identify buy and sell signals in the market. The strategy makes use of two popular technical indicators, the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI), and combines them to create a powerful trading signal.
The MACD and RSI fusion was originally developed for the Chinese stock market and is commonly used by traders all over the world. The strategy is based on the idea that the MACD and RSI indicators can be used together to provide a more accurate and reliable signal.
To use the MACD and RSI fusion , traders need to follow a few simple steps. The following code is the TradingView Pine script v4 indicator equivalent of the original MACD and RSI fusion code:
```
//@version=4
study(" MACD and RSI fusion ", overlay=false)
// Define the simple fusion indicator
simple_fusion = (ema(close, 12) - ema(close, 26)) * 1.2 + rsi(close, 14) / 50
// Define the simple fusion lag indicator
simple_fusion_lag = nz(simple_fusion )
// Plot the simple fusion and simple fusion lag indicators
plot(simple_fusion, color=color.blue, title="simple fusion")
plot(simple_fusion_lag, color=color.red, title="simple fusion Lag")
```
This code defines the simple fusion and simple fusion Lag indicators and plots them on the chart. The simple fusion indicator is the sum of the 12- and 26-period exponential moving averages of the closing price, multiplied by 1.2, and added to the 14-period relative strength index of the closing price, divided by 50. The simple fusion Lag indicator is the value of the simple fusion indicator from the previous period.
Traders can use the simple fusion and simple fusion Lag indicators to identify buy and sell signals. When the simple fusion indicator crosses above the simple fusion Lag indicator, it is a buy signal, and when the simple fusion indicator crosses below the simple fusion Lag indicator, it is a sell signal.
In conclusion, the MACD and RSI fusion is a simple but powerful technical analysis strategy that combines two popular technical indicators to identify buy and sell signals in the market.
CCI RSI Trading SignalThe "CCI RSI Trading Signal" indicator combines the Commodity Channel Index (CCI) and Relative Strength Index (RSI) to provide buy and sell signals for trading. The CCI identifies potential trend reversals, while the RSI helps confirm overbought and oversold conditions.
How It Works:
The indicator generates a buy signal when the CCI crosses above -100 (indicating a potential bullish reversal) and the RSI is below the specified oversold level. On the other hand, a sell signal is produced when the CCI crosses below 100 (indicating a potential bearish reversal) and the RSI is above the specified overbought level.
Customization:
Traders can adjust the RSI and CCI periods, RSI oversold and overbought levels, as well as take profit, stop loss, and lot size settings to suit their trading preferences.
Usage:
The "CCI RSI Trading Signal" indicator can be used on various timeframes and markets to aid in decision-making, providing potential entry and exit points based on the combined analysis of CCI and RSI.
Dual-Supertrend with MACD - Strategy [presentTrading]## Introduction and How it is Different
The Dual-Supertrend with MACD strategy offers an amalgamation of two trend-following indicators (Supertrend 1 & 2) with a momentum oscillator (MACD). It aims to provide a cohesive and systematic approach to trading, eliminating the need for discretionary decision-making.
Key advantages over traditional single-indicator strategies:
- Dual Supertrend Validation: Utilizes two Supertrend indicators with different ATR periods and factors to confirm the trend direction. This double-check mechanism minimizes false signals.
- Momentum Confirmation: The MACD histogram acts as a momentum filter, confirming entries and exits, thus adding an extra layer of validation.
- Objective Entry and Exit: The strategy generates buy and sell signals based on a combination of trend direction and momentum, leaving no room for subjective interpretation.
- Automated Trade Management: The strategy includes built-in settings for commission, slippage, and initial capital, automating the trade execution process.
- Adaptability: The strategy allows for easy customization of all its parameters, adapting to a trader's specific needs and varying market conditions.
BTCUSD 8hr chart Long Condition
BTCUSD 6hr chart Long Short Condition
## Strategy, How it Works
The strategy operates on a set of clearly defined rules, primarily focusing on the trend direction confirmed by the Dual-Supertrend and the momentum as indicated by the MACD histogram.
### Entry Rules
- Long Entry: When both Supertrend indicators are bullish and the MACD histogram is above zero.
- Short Entry: When both Supertrend indicators are bearish and the MACD histogram is below zero.
### Exit Rules
- Exit long positions when either of the Supertrends turn bearish or the MACD histogram drops below zero.
- Exit short positions when either of the Supertrends turn bullish or the MACD histogram rises above zero.
### Trade Management
- The strategy uses a fixed commission rate and slippage in its calculations.
- Automated risk management features are integrated to avoid overexposure.
## Trade Direction
The strategy allows for trading in both bullish and bearish markets. Users can select their preferred trading direction ("long", "short", or "both") to align with their market outlook and trading objectives.
## Usage
- The strategy is best applied on timeframes where the trend is evident.
- Users can modify the ATR periods, factors for Supertrends, and MACD settings to suit their trading needs.
## Default Settings
- ATR Period for Supertrend 1: 10
- Factor for Supertrend 1: 3.0
- ATR Period for Supertrend 2: 20
- Factor for Supertrend 2: 5.0
- MACD Fast Length: 12
- MACD Slow Length: 26
- MACD Signal Smoothing: 9
- Commission: 0.1%
- Slippage: 1 point
- Trading Direction: Both
The strategy comes with these default settings to offer a balanced trading approach but can be customized according to individual trading preferences.
Linear RegressionThis indicator can be used to determine the direction of the current trend.
The indicator plots two different histograms based on the linear regression formula:
- The colored ones represent the direction of the short-term trend
- The gray one represents the direction of the long-term trend
In the settings, you can change the length of the short-term value, which also influences the long-term as a basis that will be multiplied
Realtime Divergence for Any Indicator - By John BartleThe main purpose of this script is to show historical and real-time divergences for any oscillating indicator. The secondary purpose is to give the user a lot of precise control over identifying divergences and determining what they are. This is an improved version of my other script which is similarly called "Realtime Divergence for Any Indicator"
There are four types of divergences that are offered:
Bull divergence
Hidden bull divergence
Bear divergence
Hidden Bear divergence
There are three types of potential(real-time) divergences which include:
1) Without right side bars for rightside pivots. Plus without waiting for the rightside pivot bar to complete
2) Without right side bars for rightside pivots. Plus with waiting for the rightside pivot bar to complete
3) With right side bars for rightside pivots. Plus without waiting for the rightside pivot right-most bar to complete
A definite divergence occurs when all specified bars are accounted for and fully formed.
Potential divergences use dashed lines and definite(historical) divergences use solid lines.
In addition to several other categories of settings to filter out unwanted divergences or manipulate the search process, this script also offers Alerts. Remember that alerts must not only be set within this scripts settings but also your "Alerts" panel on your right. It's strange but BOTH must be set for alerts to work...
Other interesting Things To Know:
1)I actually don't trade and so I have no need of a paid account. Unpaid accounts don't have the playback feature so I haven't really tested this script out very well. Sorry. Just let me know if something seems off and IF I have time I'll try to fix it.
2)Keep in mind that Pinescript limits the number of lines that can be shown at one time. This means that if your settings allow for a large number of divergence lines they will be removed from the leftward side of your chart but appear in the rightward side.
3) The time and the values for the price or oscillator are not the same things as each other nor are they physical things with physical space. This means that slopes of lines using the time as X and value as Y can not have definite angles. Consequently, under the setting "DIVERGENCES: SLOPE ANGLE EXCLUSION" YOU have to decide what slope equals what angle by using the setting called "Normalization Factor".
4) Remember that some individual settings apply to both the oscillator and price chart. This means that even if the setting's conditions are fulfilled in one they may not be fulfilled in the other.
5) Under the category "DIVERGENCES: INTERSECTION ALLOWANCE", if you set the "Measurement Type" to Relative Percentage then FYI any single given length will equate to an increasingly smaller percentage the further away from zero it is. Because of this, I think "Reletive Percentage" is probably only useful for price charts or oscillators with big values. Maybe >200 is OK ?
Errors:
1) If you get the error mentioning that the script must complete execution within X amount of time, this is because this is a big script and sometimes takes longer than your service plan's allotted time limit. You can just disable some of the settings to reduce the scripts amount of work and time. The biggest time savers will be to disable some lines and labels
2) If you get an error saying the script accessed a negative index(e.g. ) then try temporarily increasing the "Add More Array Elements" setting to 100-200. Sometimes it fixes the problem.
3) You may sometimes temporarily get an error that reads: "Pine cannot determine the referencing length of a series. Try using max_bars_back in the study or strategy function".
If this happens there are several things that you can do:
3A) Create a copy of my script. Then edit the section of code that looks like this ")//, max_bars_back = INSERT_YOUR_QUANTITY_HERE)" and transform it to look like this new code ", max_bars_back = INSERT_YOUR_QUANTITY_HERE)" then repeatedly try replacing "INSERT_YOUR_QUANTITY_HERE" with an increasingly larger number greater than 244 but less than 5000.
This method will increase your system resources and could cause other problems. Try changing the code back after a few hours and see if all is well again. It is a Pinescript limitation issue and happens when certain functions or variables don't get used at least once within the first 244 bars.
3B) Adjust your settings to hopefully find a divergence within the first 244 bars. If one is found then the problematic variables or functions should get used and the Pinescript 244 bar limitation should be temporarily resolved.
3C) Wait for X number of new bars to occur. If a divergence is eventually found within the first 244 bars that should solve the issue.
Tips:
1) If the amount that a setting changes value is undesirable for each time you click it then you can change that amount in the code. To do that, you'll need your own copy of my script. To make your own copy just click on "create a working copy" in the brown colored strip area above the code. Then within approximately the first 108 lines find the title of the setting you want to change. Then look to it's right to find the parameter called "step =". Change what the step equals to whatever you want. FYI, you can hover your mouse over the blue colored code and a popup will tell you what parameters(i.e. settings) that function(e.g. "input.int()") has available.
Linear Cross Trading StrategyLinear Cross Trading Strategy
The Linear Cross trading strategy is a technical analysis strategy that uses linear regression to predict the future price of a stock. The strategy is based on the following principles:
The price of a stock tends to follow a linear trend over time.
The slope of the linear trend can be used to predict the future price of the stock.
The strategy enters a long position when the predicted price crosses above the current price, and exits the position when the predicted price crosses below the current price.
The Linear Cross trading strategy is implemented in the TradingView Pine script below. The script first calculates the linear regression of the stock price over a specified period of time. The script then plots the predicted price and the current price on the chart. The script also defines two signals:
Long signal: The long signal is triggered when the predicted price crosses above the current price.
Short signal: The short signal is triggered when the predicted price crosses below the current price.
The script enters a long position when the long signal is triggered and exits the position when the short signal is triggered.
Here is a more detailed explanation of the steps involved in the Linear Cross trading strategy:
Calculate the linear regression of the stock price over a specified period of time.
Plot the predicted price and the current price on the chart.
Define two signals: the long signal and the short signal.
Enter a long position when the long signal is triggered.
Exit the long position when the short signal is triggered.
The Linear Cross trading strategy is a simple and effective way to trade stocks. However, it is important to note that no trading strategy is guaranteed to be profitable. It is always important to do your own research and backtest the strategy before using it to trade real money.
Here are some additional things to keep in mind when using the Linear Cross trading strategy:
The length of the linear regression period is a key parameter that affects the performance of the strategy. A longer period will smooth out the noise in the price data, but it will also make the strategy less responsive to changes in the price.
The strategy is more likely to generate profitable trades when the stock price is trending. However, the strategy can also generate profitable trades in ranging markets.
The strategy is not immune to losses. It is important to use risk management techniques to protect your capital when using the strategy.
I hope this blog post helps you understand the Linear Cross trading strategy better. Booost and share with your friend, if you like.
Coppock Curve w/ Early Turns [QuantVue]The Coppock Curve is a momentum oscillator developed by Edwin Coppock in 1962. The curve is calculated using a combination of the rate of change (ROC) for two distinct periods, which are then subjected to a weighted moving average (WMA).
History of the Coppock Curve:
The Coppock Curve was originally designed for use on a monthly time frame to identify buying opportunities in stock market indices, primarily after significant declines or bear markets.
Historically, the monthly time frame has been the most popular for the Coppock Curve, especially for long-term trend analysis and spotting the beginnings of potential bull markets after bearish periods.
The signal wasn't initially designed for finding sell signals, however it can be used to look for tops as well.
When the indicator is above zero it indicates a hold. When the indicator drops below zero it indicates a sell, and when the indicator moves above zero it signals a buy.
While this indicator was originally designed to be used on monthly charts of the indices, many traders now use this on individual equities and etfs on all different time frames.
About this Indicator:
The Coppock Curve is plotted with colors changing based on its position relative to the zero line. When above zero, it's green, and when below, it's red. (default settings)
An absolute zero line is also plotted in black to serve as a reference.
In addition to the classic Coppock Curve, this indicator looks to identify "early turns" or potential reversals of the Coppock Curve rather than waiting for the indicator to cross above or below the zero line.
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We hope you enjoy.
Cheers!
