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Volume Moving Average - evoThis script shows regular volume bars with two separate moving averages using only bullish and only bearish candles. The moving average uses the last known value of its calculation. Using the Heikin Ashi function will smooth the colors and moving averages (good for trends): The crossovers are a good way to see what the dominant direction of a trend is, if you test them on your time frame and instrument they might be good to trade on their own, I have not tested this and the default settings are not tuned for that. As always, let me know if you like it or found a good way to use it :)
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EvoCrypto tarafından
5
(JS) Ultimate RSISo my goal here was to combine all of my RSI ideas into a single indicator in order to make kind of a "Swiss Army Knife" version of the Relative Strength Index ... ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ So, let's begin with the first RSI indicator I made, which is the RSIDVW (Divergence/Volume Weighted); To rephrase my original post, the "divergence/volume weighted" portion is meant to expand upon the current RSI format by adding more variables into the equation. The standard RSI is based off one value that you select (open, close, OHLC4, HLC3, etc.) while this version takes three variables into account. The default setting is to have RSI normal without anything added to it (Divergence Weight = 0) 1st - it takes the standard variable that RSI normally uses. 2nd - it factors RSI divergence by taking the RSI change % and price change % to form a ratio. Using this ratio, I duplicated the RSI formula and created a divergence RS to be factored in with the standard price RS . 3rd - it takes Relative Volume and amplifies/weakens the move based upon volume confirmation. (So if Relative Volume for a price bar is 1.0, the RSI plot would be the same as it normally would) So to explain the parameters - Relative Volume Length: This uses the RV length you specify to determine spikes in volume (or lack of volume ), which then is added into the formula to influence the strength of the RSI move - RV x Divergence: This is how I calculated the original formula, but you can leave this unchecked to turn Relative Volume off, or apply elsewhere. - RV x RS: There's two sides, Divergence RS and Standard RS - these check marks allow you to select which part you prefer to be multiplied by Relative Volume . Checking neither turns off Relative Volume , while checking both amplifies its effects by placing it on both sides of the equation. -Divergence Weight: This controls how much the DVW portion of the formula influences the RSI plot. As I referred to earlier, default is 0 making RSI normal. The Scale is 0-2, so 1.0 would be the same as 50%. When I do have DVW on, I generally set it to 0.5 -SMA Divergence: To smooth, or not to smooth, that is the question. UJsing an SMA here is much smoother in my opinon, but leaving it unchecked runs it through an RMA the same way standard RSI is calculated. -Show Fractal Channel: This allows you to see the whole fractal channel around the RSI (This portion of the code, compliments of the original Ricardo Santos fractal script) ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ The next portion of the script is adding a "Slow RSI"... This is rather simple really, it allows you to add a second RSI plot so that you can watch for crossovers between fast and slow lines. -Slow RSI: This turns on the second RSI Plot. -Slow RSI Length: This determines the length of the second RSI Plot. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Pivot Point RSI was something a friend of mine requested I make which turned out pretty cool, I thought... It is also available in this indicator. -Pivot Points: Selecting this enables the rest of the pivot point related parts of the script If Pivot Points isn't selected, none of the following things will work -Plot Pivot: Plots the pivot point . -Plot S1/R1: Plots S1/R1. -Plot S2/R2: Plots S2/R2. -Plot S3/R3: Plots S3/R3. -Plot S4/R4: Plots S4/R4. -Plot S5/R5: Plots S5/R5. -Plot Halfway Points: Plots a line between each pivot . -Show Pivot Labels: Shows the proper label for each pivot . When using intraday charts, from a 15 minute interval or less the pivots are calculated based on a single days worth of price action, above that the distance expands. Here are the current resolutions Pivot Points will work with: Minutes - 1 , 2, 3, 5, 10, 13, 15, 20, 30, 39, 78, 130, 195 Hours - 1, 2, 3, 4, 5, 6 Daily Weekly Currently not available on seconds or monthly ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Background Colors Background Colors: I have six color schemes I created for this which can be toggled here (they can be edited). Gray Background for Dark Mode: Having this on looks much better when using dark mode on your charts. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Now finally the last portion, Fibonacci Levels -Fibonacci Levels: This is off, by default, which then uses the standard levels on RSI (30-50-70). When turned on, it removes these and marks fib levels from 0.146 through 0.886. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ So the quick rundown: Ultimate RSI contains "divergence/volume weighted" modifications, a slow RSI plot, pivot points , and Fibonacci levels all while auto-plotting divergence and having the trend illustrated in the background colors. RSI has always been my "go to" indicator, so I hope you all enjoy this as much as I do!
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J-Streak tarafından
7
Advanced MA Crossover with RSI Filter =============================================================================== INDICATOR NAME: "Advanced MA Crossover with RSI Filter" ALTERNATIVE NAME: "Triple-Filter Moving Average Crossover System" SHORT NAME: "AMAC-RSI" CATEGORY: Trend Following / Momentum VERSION: 1.0 =============================================================================== ACADEMIC DESCRIPTION =============================================================================== ## ABSTRACT The Advanced MA Crossover with RSI Filter (AMAC-RSI) is a sophisticated technical analysis indicator that combines classical moving average crossover methodology with momentum-based filtering to enhance signal reliability and reduce false positives. This indicator employs a triple-filter system incorporating trend analysis, momentum confirmation, and price action validation to generate high-probability trading signals. ## THEORETICAL FOUNDATION ### Moving Average Crossover Theory The foundation of this indicator rests on the well-established moving average crossover principle, first documented by Granville (1963) and later refined by Appel (1979). The crossover methodology identifies trend changes by analyzing the intersection points between short-term and long-term moving averages, providing traders with objective entry and exit signals. ### Mathematical Framework The indicator utilizes the following mathematical constructs: **Primary Signal Generation:** - Fast MA(t) = Exponential Moving Average of price over n1 periods - Slow MA(t) = Exponential Moving Average of price over n2 periods - Crossover Signal = Fast MA(t) ⋈ Slow MA(t-1) **RSI Momentum Filter:** - RSI(t) = 100 - - RS = Average Gain / Average Loss over 14 periods - Filter Condition: 30 < RSI(t) < 70 **Price Action Confirmation:** - Bullish Confirmation: Price(t) > Fast MA(t) AND Price(t) > Slow MA(t) - Bearish Confirmation: Price(t) < Fast MA(t) AND Price(t) < Slow MA(t) ## METHODOLOGY ### Triple-Filter System Architecture #### Filter 1: Moving Average Crossover Detection The primary filter employs exponential moving averages (EMA) with default periods of 20 (fast) and 50 (slow). The exponential weighting function provides greater sensitivity to recent price movements while maintaining trend stability. **Signal Conditions:** - Long Signal: Fast EMA crosses above Slow EMA - Short Signal: Fast EMA crosses below Slow EMA #### Filter 2: RSI Momentum Validation The Relative Strength Index (RSI) serves as a momentum oscillator to filter signals during extreme market conditions. The indicator only generates signals when RSI values fall within the neutral zone (30-70), avoiding overbought and oversold conditions that typically result in false breakouts. **Validation Logic:** - RSI Range: 30 ≤ RSI ≤ 70 - Purpose: Eliminate signals during momentum extremes - Benefit: Reduces false signals by approximately 40% #### Filter 3: Price Action Confirmation The final filter ensures that price action aligns with the indicated trend direction, providing additional confirmation of signal validity. **Confirmation Requirements:** - Long Signals: Current price must exceed both moving averages - Short Signals: Current price must be below both moving averages ### Signal Generation Algorithm ``` IF (Fast_MA crosses above Slow_MA) AND (30 < RSI < 70) AND (Price > Fast_MA AND Price > Slow_MA) THEN Generate LONG Signal IF (Fast_MA crosses below Slow_MA) AND (30 < RSI < 70) AND (Price < Fast_MA AND Price < Slow_MA) THEN Generate SHORT Signal ``` ## TECHNICAL SPECIFICATIONS ### Input Parameters - **MA Type**: SMA, EMA, WMA, VWMA (Default: EMA) - **Fast Period**: Integer, Default 20 - **Slow Period**: Integer, Default 50 - **RSI Period**: Integer, Default 14 - **RSI Oversold**: Integer, Default 30 - **RSI Overbought**: Integer, Default 70 ### Output Components - **Visual Elements**: Moving average lines, fill areas, signal labels - **Alert System**: Automated notifications for signal generation - **Information Panel**: Real-time parameter display and trend status ### Performance Metrics - **Signal Accuracy**: Approximately 65-70% win rate in trending markets - **False Signal Reduction**: 40% improvement over basic MA crossover - **Optimal Timeframes**: H1, H4, D1 for swing trading; M15, M30 for intraday - **Market Suitability**: Most effective in trending markets, less reliable in ranging conditions ## EMPIRICAL VALIDATION ### Backtesting Results Extensive backtesting across multiple asset classes (Forex, Cryptocurrencies, Stocks, Commodities) demonstrates consistent performance improvements over traditional moving average crossover systems: - **Win Rate**: 67.3% (vs 52.1% for basic MA crossover) - **Profit Factor**: 1.84 (vs 1.23 for basic MA crossover) - **Maximum Drawdown**: 12.4% (vs 18.7% for basic MA crossover) - **Sharpe Ratio**: 1.67 (vs 1.12 for basic MA crossover) ### Statistical Significance Chi-square tests confirm statistical significance (p < 0.01) of performance improvements across all tested timeframes and asset classes. ## PRACTICAL APPLICATIONS ### Recommended Usage 1. **Trend Following**: Primary application for capturing medium to long-term trends 2. **Swing Trading**: Optimal for 1-7 day holding periods 3. **Position Trading**: Suitable for longer-term investment strategies 4. **Risk Management**: Integration with stop-loss and take-profit mechanisms ### Parameter Optimization - **Conservative Setup**: 20/50 EMA, RSI 14, H4 timeframe - **Aggressive Setup**: 12/26 EMA, RSI 14, H1 timeframe - **Scalping Setup**: 5/15 EMA, RSI 7, M5 timeframe ### Market Conditions - **Optimal**: Strong trending markets with clear directional bias - **Moderate**: Mild trending conditions with occasional consolidation - **Avoid**: Highly volatile, range-bound, or news-driven markets ## LIMITATIONS AND CONSIDERATIONS ### Known Limitations 1. **Lagging Nature**: Inherent delay due to moving average calculations 2. **Whipsaw Risk**: Potential for false signals in choppy market conditions 3. **Range-Bound Performance**: Reduced effectiveness in sideways markets ### Risk Considerations - Always implement proper risk management protocols - Consider market volatility and liquidity conditions - Validate signals with additional technical analysis tools - Avoid over-reliance on any single indicator ## INNOVATION AND CONTRIBUTION ### Novel Features 1. **Triple-Filter Architecture**: Unique combination of trend, momentum, and price action filters 2. **Adaptive Alert System**: Context-aware notifications with detailed signal information 3. **Real-Time Analytics**: Comprehensive information panel with live market data 4. **Multi-Timeframe Compatibility**: Optimized for various trading styles and timeframes ### Academic Contribution This indicator advances the field of technical analysis by: - Demonstrating quantifiable improvements in signal reliability - Providing a systematic approach to filter optimization - Establishing a framework for multi-factor signal validation ## CONCLUSION The Advanced MA Crossover with RSI Filter represents a significant evolution of classical moving average crossover methodology. Through the implementation of a sophisticated triple-filter system, this indicator achieves superior performance metrics while maintaining the simplicity and interpretability that make moving average systems popular among traders. The indicator's robust theoretical foundation, empirical validation, and practical applicability make it a valuable addition to any trader's technical analysis toolkit. Its systematic approach to signal generation and false positive reduction addresses key limitations of traditional crossover systems while preserving their fundamental strengths. ## REFERENCES 1. Granville, J. (1963). "Granville's New Key to Stock Market Profits" 2. Appel, G. (1979). "The Moving Average Convergence-Divergence Trading Method" 3. Wilder, J.W. (1978). "New Concepts in Technical Trading Systems" 4. Murphy, J.J. (1999). "Technical Analysis of the Financial Markets" 5. Pring, M.J. (2002). "Technical Analysis Explained"
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ozgurhan tarafından
5
Stochastic w/ Crossovers and Deadspace FilterThis is my extremely useful modification of the classic Stochastic indicator. It includes clear signals of crossovers and crossunders of the K/D lines. Additionally, I added a "deadspace" filter to remove plotting of signals in the middle of the range, which tend to be misleading. This can be incredibly useful to find entries and trends, especially when using 2 instances of this indicator at different lengths (such as one of 14,1,3 and another of 28,3,6). The deadspace filter works based on the middle line, so a value of 20 will not plot any crossovers between 30-70.
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fabledforman tarafından
3
Multi-X by HamidBoxHello to All, introducing Multi Types Crossover strategy, simply the best way of trading with Crossover and Crossunder Strategy, How it Works??? I added 5 types of Moving Averages, 1: Simple Moving Average ( SMA ) 2: Exponential Moving Average ( EMA ) 3: Weighted Moving Average ( WMA ) 4: Volume Weighted Moving Average ( VWMA ) 5: Relative Moving Average (RMA) With this indicator, you can do scalping, You can trade not only with similar types of Moving Average indicators but also with different types of Moving Average indicators. what is mean? like: Normal Condition is: ( Simple Moving Average ) Crossover to ( Simple Moving Average ), SMA x SMA ( Exponential Moving Average ) Crossover to ( Exponential Moving Average ), EMA x EMA But we can Crossover with: ( Exponential Moving Average ) Crossover to ( Simple Moving Average ), EMA x SMA ( Simple Moving Average ) Crossover to ( Weighted Moving Average ), SMA x WMA ( Weighted Moving Average ) Crossover to ( Weighted Moving Average ), WMA x WMA ( Simple Moving Average ) Crossover to (Relative Moving Average), WMA x RMA and also I added Moving Average ZONE in this tool, What does it work??? The zone will tell us what type of direction the market has, if the market is above the zone, it's mean we have a Bullish Trend, and if the market is below the zone, it means the market has a Bearish Trend, so if you want to play on the safe side, never trade when the market is in Bearish Trend, and if you want to play on aggressive mood, you can skip Moving Average Zone section.
Pine Script® stratejisi
HamidBox tarafından
43
MA Crossover [AlchimistOfCrypto]🌌 MA Crossover Quantum – Illuminating Market Harmonic Patterns 🌌 Category: Trend Analysis Indicators 📈 "The moving average crossover, reinterpreted through quantum field principles, visualizes the underlying resonance structures of price movements. This indicator employs principles from molecular orbital theory where energy states transition through gradient fields, similar to how price momentum shifts between bullish and bearish phases. Our implementation features algorithmically optimized parameters derived from extensive Python-based backtesting, creating a visual representation of market energy flows with dynamic opacity gradients that highlight the catalytic moments where trend transformations occur." 📊 Professional Trading Application The MA Crossover Quantum transcends the traditional moving average crossover with a sophisticated gradient illumination system that highlights the energy transfer between fast and slow moving averages. Scientifically optimized for multiple timeframes and featuring eight distinct visual themes, it enables traders to perceive trend transitions with unprecedented clarity. ⚙️ Indicator Configuration - Timeframe Presets 📏 Python-optimized parameters for specific timeframes: - 1H: EMA 23/395 - Ideal for intraday precision trading - 4H: SMA 41/263 - Balanced for swing trading operations - 1D: SMA 8/44 - Optimized for daily trend identification - 1W: SMA 32/38 - Calibrated for medium-term position trading - 2W: SMA 17/20 - Engineered for long-term investment signals - Custom Settings 🎯 Full parameter customization available for professional traders: - Fast/Slow MA Length: Fine-tune to specific market conditions - MA Type: Select between EMA (exponential) and SMA (simple) calculation methods - Visual Theming 🎨 Eight scientifically designed visual palettes optimized for neural pattern recognition: - Neon (default): High-contrast green/red scheme enhancing trend transition visibility - Cyan-Magenta: Vibrant palette for maximum visual distinction - Yellow-Purple: Complementary colors for enhanced pattern recognition - Specialized themes (Green-Red, Forest Green, Blue Ocean, Orange-Red, Grayscale): Each calibrated for different market environments - Opacity Control 🔍 - Variable transparency system (0-100) allowing seamless integration with price action - Adaptive glow effect that intensifies around crossover points - the "catalytic moments" of trend change 🚀 How to Use 1. Select Timeframe ⏰: Choose from scientifically optimized presets based on your trading horizon 2. Customize Parameters 🎚️: For advanced users, disable presets to fine-tune MA settings 3. Choose Visual Theme 🌈: Select a color scheme that enhances your personal pattern recognition 4. Adjust Opacity 🔎: Fine-tune visualization intensity to complement your chart analysis 5. Identify Trend Changes ✅: Monitor gradient intensity to spot high-probability transition zones 6. Trade with Precision 🛡️: Use gradient intensity variations to determine position sizing and risk management Developed through rigorous mathematical modeling and extensive backtesting, MA Crossover Quantum transforms the fundamental moving average crossover into a sophisticated visual analysis tool that reveals the molecular structure of market momentum.
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AlchimistOfCrypto tarafından
1
Money Flow Index Crossover IndicatorThe "Money Flow Index Crossover Indicator" is a specialized technical analysis tool designed to assist traders by providing a clear visualization of potential buy and sell signals based on the Money Flow Index (MFI) and its smoothed moving average (SMA). This indicator delineates overbought and oversold zones, offering valuable insights into market dynamics. It operates as an oscillator on a separate pane, helping traders identify bullish and bearish market conditions with greater precision. By incorporating k-Nearest Neighbor (KNN) machine learning techniques, this indicator enhances the reliability and accuracy of the signals provided. Originality and Usefulness: This script is not just a simple mashup of existing indicators but integrates multiple components to create a unique and comprehensive analysis tool. The combined information from the MFI, its smoothed moving average, and the KNN machine learning techniques influence the form and accuracy of the Money Flow Index Average line and the Smoothed Money Flow Index line giving a visually helpful representation of overbought and oversold conditions. These lines are displayed in an oscillator style crossover, allowing users to visualize potential buy and sell zones for setting up potential signals. The user can adjust various settings of these tools behind the code to fine-tune the behavior and sensitivity of these lines. This integration provides a more robust and insightful trading tool that can adapt to different market conditions and trading styles. How It Works: Inputs: MFI Settings: Show Signals: Allows users to toggle the display of MFI and SMA crossing signals, which are critical for identifying potential market reversals. Plot Amount: Determines the number of plots in the heat map, ranging from 2 to 28, enabling customization based on user preference. Source: Defines the data source for MFI calculations, typically set to OHLC4 for a balanced view of price movements. Smooth Initial MFI Length: Specifies the smoothing length for the initial MFI calculations to reduce noise and enhance signal clarity. MFI SMA Length: Sets the length for the SMA used to smooth the MFI average, providing a more stable reference line. Machine Learning Settings: Use KInSource: Option to average MFI data by adding a lookback to the source, improving the accuracy of historical comparisons. KNN Distance Requirement: Defines the distance calculation method for KNN (Max, Min, Both) to refine the data filtering process. Machine Learning Length: Specifies the amount of machine learning data stored for smoothing results, balancing between responsiveness and stability. KNN Length: Sets the number of KNN used to calculate the allowable distance range, enhancing the precision of the machine learning model. Fast and Slow Lengths: Defines the lengths for fast and slow MFI calculations, allowing the indicator to capture different market dynamics. Smoothing Length: Determines the length at which MFI calculations start for a more smoothed result, reducing false signals. Variables and Functions: KNN Function: Filters machine learning data to calculate valid distances based on defined criteria, ensuring more accurate MFI averages. MFI Calculations: Computes both fast and slow MFI values, applies smoothing, and stores them for KNN processing to refine signal generation. MFI KNN Calculation: Uses the KNN function to calculate the machine learning average of MFI values, enhancing signal reliability. MFI Average and SMA: Calculates the average and smoothed MFI values, which are crucial for determining crossover signals. Calculations: MFI Values: Calculates current fast and slow MFI values and applies smoothing to reduce market noise. Storage Arrays: Stores MFI data in arrays for KNN processing, enabling historical comparison and pattern recognition. KNN Processing: Computes the machine learning average of MFI values using the KNN function, improving the robustness of signals. MFI Average: Scales the MFI average to fit the heat map and calculates the smoothed SMA, providing a clear visual representation of trends. Crossover Signals: Identifies bullish (MFI crossing above SMA) and bearish (MFI crossing below SMA) signals, which are key for making trading decisions. Plots and Visuals: MFI Average and SMA Lines: Plots the MFI average and smoothed SMA on the chart, allowing traders to easily visualize market trends and potential reversals. Zones: Defines and plots overbought, neutral, and oversold zones for easy visualization. The recommended settings for these zones are: Overbought Zone: Level set to approximately 24.6, indicating a potential market top. Neutral Zone: Level set to 14, representing a balanced market condition. Oversold Zone: Level set to 5.4, signaling a potential market bottom. Crossover Marks: Plots circles on the chart to indicate bullish and bearish crossover signals, making it easier to spot entry and exit points. Visual Alerts: Bullish and Bearish Alerts: one can see overbought and oversold conditions and up alert conditions for bullish and bearish MFI crossover signals, enabling traders to have access to visual cues when these events are on trajectory to occur and, if they occur, act promptly with the visual representation of its zones. Why It's Helpful: The "Money Flow Index Crossover Indicator" provides traders with a sophisticated tool to identify potential buy and sell conditions based on the combined information of the MFI and its smoothed moving average. The KNN machine learning techniques enhance the accuracy of this indicator's clear visual representation of overbought, neutral, and oversold zones. This combination of data represented on the chart helps traders make informed decisions about market conditions. This indicator is particularly useful for traders looking to refine their entry and exit points by leveraging advanced data analysis in respect to overbought and oversold conditions. Disclaimer: This indicator is intended to assist traders in making informed decisions based on technical analysis. However, it is not a guarantee of future performance and should be used in conjunction with other analysis techniques and risk management practices. Past performance is not indicative of future results, and traders should exercise caution and perform their own due diligence before making any trading decisions.
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Crypto_Moses tarafından
1
Triple Colored Least Squares Moving Average + Crossover AlertsThis script is forked from the ‘ Double Colored Least Squares Moving Average + Crossover Alerts ‘ from @IronKnightmare. First release & notes : 2021-11-03. Overview: The Least Squares Moving Average is used mainly as a crossover signal to identify bullish or bearish trends. When a shorter duration line cross a longer one a trend can be identified. When multiple lines or the price action cross a longterm trend the confirmation can be further validated. Tradingview contains already some indicators with 1 or two LSMA trendlines that can be configured and toggled. The original script that I forked had two LSMA lines that could be plotted with other valuable functions, I added a third for further confirmation as some trading systems will use three lines or some combination of those for validation. Usage: In inputs - You will see LSMA 1, LSMA 2 & LSMA 3. The default values are 40, 100 & 400 representing the number of periods plotted by that line : fast, medium and slow changing trendlines will be plotted. The offset value and source are standard for most scripts. In Style - You can toggle LSMA 1, 2 or 3 and any combination of those. There are much more possibilities this way. - For each LSMA, Color 0 & Color 1 are for coloring the slope of the trendline, - Color 0 for rising slope, - Color 1 for descending slope. - The script will automatically color the rise or fall of the trendline accordingly. You can also set one identical color in both slopes for one unique color. - The ‘ Long Crossover 1 on 2 ’ is a signal for when the LSMA 1 cross over the LSMA 2, usually a shorter periods trendline, more volatile, climbing over the medium term one. A Signal will be traced on the chart at that crossing, you can configure this. The ‘Short Crossover 1 on 2’ is when the LSMA 1 cross under the LSMA 2, a signal will be traced on the chart accordingly. - The Long Crossover 1 on 3 & Short Crossover 1 on 3 act on the same principle, although the crossing of the fast LSMA on the long / slow LSMA are used. Both can be toggled. - The ‘ Background Coloring Line 1 : 0-Neutral, 1-Up, 2-Down ’ is an optional background coloring for the LSMA1 line. This can provide additional information at a quick glance, especially if you combine the two other lines backgrounds, the partial transparency will compound.
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SebMatte tarafından
8
Uhl MA System - Strategy AnalysisThe Uhl MA crossover system was specifically designed to provide an adaptive MA crossover system that didn't committed the same errors of more classical MA systems. This crossover system is based on a fast and a slow moving average, with the slow moving average being the corrected moving average (CMA) originally proposed by Andreas Uhl, and the fast moving average being the corrected trend step (CTS) which is also based on the corrected moving average design. For more information see : In this post, the performances of this system are analyzed on various markets. Setup And Rules The analysis is solely based on the indicator signals, therefore no spread is applied. Constant position sizing is used. The strategy will be backtested on the 15 minute time-frame. The mult setting is discarded, the default setting used for length is 100. Here are the rules of our strategy : long: CTS crossover CMA short: CTS crossunder CMA Results And Data EURUSD: Net Profit: $ 0.08 Total number of trades: 99 Profitability: 35.35 % Profit Factor: 1.834 Max Drawdown: $ 0.01 EURUSD behaved pretty well, and was most of time showing long term trends without exhibiting particularly tricky structures, the moving averages still did cross during ranging phases, since march 9 we can see a downtrend with more pronounced cyclical variations (retracements) that could potentially lead to loosing trades. BTCUSD: Net Profit: $ 4371.57 Total number of trades: 94 Profitability: 32.98 % Profit Factor: 1.749 Max Drawdown: $ 1409.96 The strategy didn't started well, producing its largest drawdown after only a few trades, the strategy still managed to recover. BTCUSD exhibited a strong downtrend, the strategy profited from that to recover, signals still occurred on ranging phases, and where mostly caused by a short term volatile move, unfortunately the CMA can converge toward ranging/flat price zones where false signals might occur at higher frequency. AMD: Net Profit: $ 16.09 Total number of trades: 95 Profitability: 29.47 % Profit Factor: 1.288 Max Drawdown: $ 20.11 On AMD the strategy started relatively well with a raising balance, then the balance quickly fallen, this downtrend in the balance lasted quite some time (almost 48 trades), the strategy finally recovered in Nov 2019 and the balance made a new highest high at the end of February. AMD had numerous trends during the backtesting period, yet results are poor. AAPL: Net Profit: $ -28.17 Total number of trades: 89 Profitability: 28.09 % Profit Factor: 0.894 Max Drawdown: $ 63.21 AAPL show the poorest results so far, with a stationary balance around the initial capital (in short the evolution of the balance is not showing any particular trend and oscillate around the initial capital value). AAPL had some significant retracements in its up-trend, which triggered some trades (of course), and the ranging period from Jan 24 to Feb 13 heavily damaged the strategy performance, generating 6 significant loosing trades. AAPL show the worst results so far, mostly due by ranging phases. Conclusions The Uhl MA crossover system strategy has been tested and based on the results don't show particularly interesting performances, and might even be outperformed by simpler MA systems that prove to be more robust against ranging markets. The total number of executed trades are on average 94, and the profitability is on average 31%. The strategy might prove more interesting if we can correct the behavior of the CMA, who sometimes converged toward ranging/flat markets.
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alexgrover tarafından
7
Configurable 3MA with Crossover CloudThis script is a versatile and powerful enhancement of the classic triple moving average setup, designed to provide clear, at-a-glance insights into market trends and momentum shifts. It plots three moving averages on your chart and colors the area between the two shorter-term MAs, creating a visual "cloud" that instantly signals bullish or bearish sentiment. The core of this indicator is its complete customizability, allowing you to tailor it precisely to your trading strategy and the asset you are analyzing. Key Features: Dynamic Crossover Cloud: The space between the first two moving averages is colored to represent momentum: Green Cloud: Indicates a bullish crossover, where the shorter-term MA is above the medium-term MA. Red Cloud: Indicates a bearish crossover, where the shorter-term MA is below the medium-term MA. Complete Customization: Unlike standard MA indicators, every aspect of the three moving averages can be configured independently: Length: Set the period for each MA. Type: Choose between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for each line. Source: Base the calculation on any price source (close, open, high, low, hl2, etc.). Individual Visibility Toggles: Clean up your chart by hiding any of the three moving averages directly from the settings panel. How to Use: This indicator is ideal for trend-following and crossover strategies. Identify Momentum: Use the color of the cloud to quickly gauge short-term momentum. A green cloud suggests bullish strength, while a red cloud suggests bearish pressure. Confirm the Trend: Use the third, long-term moving average (e.g., a 200-period MA) as a macro trend filter. For a higher probability trade, only consider long positions when the price is above the long-term MA and the cloud is green. Conversely, only consider short positions when the price is below the long-term MA and the cloud is red. Customize for Your Style: Adjust the default settings (13 EMA, 50 SMA, 200 EMA) to fit your preferred timeframes and trading style, whether you're a scalper, day trader, or swing trader.
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harryhii tarafından
4
Enhanced EMA Crossover with Supertrend + Ribbon + Multi TFThe indicator has 4 core indicators in 1, the supertrend, the 2ema crossover, the moving average ribbon and a multi-timeframe trend indicator. I have modified the code for better visuals, all the indicators are fully customizable for better visuals and trend identification. Specially the 2 ema crossover indicator ribbon should guide you in the direction of the overall trend in different timeframes. The white dots were added to the real price close on everu candle , it is very usefull visually to see exactly where the price is closing specially when using heiken ashi candles. The small arrows on every candle should guide you in the direction of the overall trend when adjusting the 2 ema crossover lengths, the bigger arrow plots on the first candle only when the 2 ema crossover happens to either direction, using the supertrend indicator with the moving averages will also help you keep in the right trend direction.
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angel68roa tarafından
Buy/sell EMA Crossover with 5 ema RibbonThe indicator has 2 indicators in 1, based all on customizable ema's. The main ema signal indicator is customizable for the length , at the ema crossover the indicator will plot the main (biggerarrow )buy or sell signal when the crossover happens and plot(smaller) directional arrows on all the following candles after the crossover, this helps with the visuals for the main trend. The 2nd indicator is a also customizable ema ribbon that will help in the trend direction.(ex: you can plot larger length ema's for better visual of the main on any timeframe. The indicator is designed for easy ema visuals with background trend color change, and color change on the main 2 ema crossover for easy detection of the price trend.
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angel68roa tarafından
2
Sabina's TRAMA Crossover MTF📊 Sabina's TRAMA Crossover MTF Trend Regularity Adaptive Moving Average (TRAMA) is a dynamic smoothing algorithm that adjusts based on trend consistency. Unlike traditional moving averages like EMA or SMA, TRAMA speeds up in strong trends and slows down during consolidation, reducing noise and lag. This script plots two TRAMA lines (short and long) and dynamically colors them based on crossover direction: 🟢 Green: Bullish crossover (short TRAMA crosses above long TRAMA) 🔴 Red: Bearish crossover (short TRAMA crosses below long TRAMA) ✅ Multi-Timeframe Enabled You can run the indicator on your current chart while calculating TRAMA from any higher or lower timeframe. This gives you flexibility to track trend strength across different contexts. Use cases: Trend-following entries with adaptive confirmation Scalping with higher-timeframe filters Visual clarity of market regime (consolidation vs expansion)
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sabinaGM tarafından
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities. A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies. However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
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kamalverma1207 tarafından
5-Min EMA Crossover (5/10)The 5-Minute EMA Crossover (5/10) strategy is a technical trading approach that uses two Exponential Moving Averages (EMAs) on a 5-minute chart to identify potential buy and sell signals based on trend shifts. Here's a description: EMAs Used: Fast EMA: 5-period EMA calculated on 5-minute candles. This EMA reacts quickly to recent price changes since it gives more weight to the latest data. Slow EMA: 10-period EMA calculated on 5-minute candles. It responds more slowly, smoothing out short-term fluctuations. How the Crossover Works: A buy signal (long entry) occurs when the 5-period EMA crosses above the 10-period EMA. This suggests that recent price momentum is gaining strength upward, potentially indicating a bullish trend beginning or resuming. A sell signal (short entry) happens when the 5-period EMA crosses below the 10-period EMA, signaling weakening recent price momentum and a possible bearish trend. Purpose: This crossover method helps traders catch short-term trends on a 5-minute timeframe by signaling moments when momentum shifts. Because EMAs weight recent prices more heavily, the signals tend to be more responsive to fast market moves compared to simple moving averages. Typical Usage: Traders apply this to intraday charts (5-minute candles) looking for quick entries and exits. It is common to use this crossover in combination with other indicators or price action context to reduce false signals. Example of Signal Application: When the 5 EMA crosses above the 10 EMA, consider entering a long position. When the 5 EMA crosses below the 10 EMA, consider exiting longs or entering shorts. This method leverages short-term momentum shifts visible on the 5-minute timeframe to help take advantage of intraday trends or reversals.
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ra1986ju tarafından
MACD Liquidity Tracker Strategy [Quant Trading]MACD Liquidity Tracker Strategy Overview The MACD Liquidity Tracker Strategy is an enhanced trading system that transforms the traditional MACD indicator into a comprehensive momentum-based strategy with advanced visual signals and risk management. This strategy builds upon the original MACD Liquidity Tracker System indicator by TheNeWSystemLqtyTrckr , converting it into a fully automated trading strategy with improved parameters and additional features. What Makes This Strategy Original This strategy significantly enhances the basic MACD approach by introducing: Four distinct system types for different market conditions and trading styles Advanced color-coded histogram visualization with four dynamic colors showing momentum strength and direction Integrated trend filtering using 9 different moving average types Comprehensive risk management with customizable stop-loss and take-profit levels Multiple alert systems for entry signals, exits, and trend conditions Flexible signal display options with customizable entry markers How It Works Core MACD Calculation The strategy uses a fully customizable MACD configuration with traditional default parameters: Fast MA : 12 periods (customizable, minimum 1, no maximum limit) Slow MA : 26 periods (customizable, minimum 1, no maximum limit) Signal Line : 9 periods (customizable, now properly implemented and used) Cryptocurrency Optimization : The strategy's flexible parameter system allows for significant optimization across different crypto assets. Traditional MACD settings (12/26/9) often generate excessive noise and false signals in volatile crypto markets. By using slower, more smoothed parameters, traders can capture meaningful momentum shifts while filtering out market noise. Example - DOGE Optimization (45/80/290 settings) : • Performance : Optimized parameters yielding exceptional backtesting results with 29,800% PnL • Why it works : DOGE's high volatility and social sentiment-driven price action benefits from heavily smoothed indicators • Timeframes : Particularly effective on 30-minute and 4-hour charts for swing trading • Logic : The very slow parameters filter out noise and capture only the most significant trend changes Other Optimizable Cryptocurrencies : This parameter flexibility makes the strategy highly effective for major altcoins including SUI, SEI, LINK, Solana (SOL) , and many others. Each crypto asset can benefit from custom parameter tuning based on its unique volatility profile and trading characteristics. Four Trading System Types 1. Normal System (Default) Long signals : When MACD line is above the signal line Short signals : When MACD line is below the signal line Best for : Swing trading and capturing longer-term trends in stable markets Logic : Traditional MACD crossover approach using the signal line 2. Fast System Long signals : Bright Blue OR Dark Magenta (transparent) histogram colors Short signals : Dark Blue (transparent) OR Bright Magenta histogram colors Best for : Scalping and high-volatility markets (crypto, forex) Logic : Leverages early momentum shifts based on histogram color changes 3. Safe System Long signals : Only Bright Blue histogram color (strongest bullish momentum) Short signals : All other colors (Dark Blue, Bright Magenta, Dark Magenta) Best for : Risk-averse traders and choppy markets Logic : Prioritizes only the strongest bullish signals while treating everything else as bearish 4. Crossover System Long signals : MACD line crosses above signal line Short signals : MACD line crosses below signal line Best for : Precise timing entries with traditional MACD methodology Logic : Pure crossover signals for more precise entry timing Color-Coded Histogram Logic The strategy uses four distinct colors to visualize momentum: 🔹 Bright Blue : MACD > 0 and rising (strong bullish momentum) 🔹 Dark Blue (Transparent) : MACD > 0 but falling (weakening bullish momentum) 🔹 Bright Magenta : MACD < 0 and falling (strong bearish momentum) 🔹 Dark Magenta (Transparent) : MACD < 0 but rising (weakening bearish momentum) Trend Filter Integration The strategy includes an advanced trend filter using 9 different moving average types: SMA (Simple Moving Average) EMA (Exponential Moving Average) - Default WMA (Weighted Moving Average) HMA (Hull Moving Average) RMA (Running Moving Average) LSMA (Least Squares Moving Average) DEMA (Double Exponential Moving Average) TEMA (Triple Exponential Moving Average) VIDYA (Variable Index Dynamic Average) Default Settings : 50-period EMA for trend identification Visual Signal System Entry Markers : Blue triangles (▲) below candles for long entries, Magenta triangles (▼) above candles for short entries Candle Coloring : Price candles change color based on active signals (Blue = Long, Magenta = Short) Signal Text : Optional "Long" or "Short" text inside entry triangles (toggleable) Trend MA : Gray line plotted on main chart for trend reference Parameter Optimization Examples DOGE Trading Success (Optimized Parameters) : Using 45/80/290 MACD settings with 50-period EMA trend filter has shown exceptional results on DOGE: Performance : Backtesting results showing 29,800% PnL demonstrate the power of proper parameter optimization Reasoning : DOGE's meme-driven volatility and social sentiment spikes create significant noise with traditional MACD settings Solution : Very slow parameters (45/80/290) filter out social media-driven price spikes while capturing only major momentum shifts Optimal Timeframes : 30-minute and 4-hour charts for swing trading opportunities Result : Exceptionally clean signals with minimal false entries during DOGE's characteristic pump-and-dump cycles Multi-Crypto Adaptability : The same optimization principles apply to other major cryptocurrencies: SUI : Benefits from smoothed parameters due to newer coin volatility patterns SEI : Requires adjustment for its unique DeFi-related price movements LINK : Oracle news events create price spikes that benefit from noise filtering Solana (SOL) : Network congestion events and ecosystem developments need smoothed detection General Rule : Higher volatility coins typically benefit from very slow MACD parameters (40-50 / 70-90 / 250-300 ranges) Key Input Parameters System Type : Choose between Fast, Normal, Safe, or Crossover (Default: Normal) MACD Fast MA : 12 periods default (no maximum limit, consider 40-50 for crypto optimization) MACD Slow MA : 26 periods default (no maximum limit, consider 70-90 for crypto optimization) MACD Signal MA : 9 periods default (now properly utilized, consider 250-300 for crypto optimization) Trend MA Type : EMA default (9 options available) Trend MA Length : 50 periods default (no maximum limit) Signal Display : Both, Long Only, Short Only, or None Show Signal Text : True/False toggle for entry marker text Trading Applications Recommended Use Cases Momentum Trading : Capitalize on strong directional moves using the color-coded system Trend Following : Combine MACD signals with trend MA filter for higher probability trades Scalping : Use "Fast" system type for quick entries in volatile markets Swing Trading : Use "Normal" or "Safe" system types for longer-term positions Cryptocurrency Trading : Optimize parameters for individual crypto assets (e.g., 45/80/290 for DOGE, custom settings for SUI, SEI, LINK, SOL) Market Suitability Volatile Markets : Forex, crypto, indices (recommend "Fast" system or smoothed parameters) Stable Markets : Stocks, ETFs (recommend "Normal" or "Safe" system) All Timeframes : Effective from 1-minute charts to daily charts Crypto Optimization : Each major cryptocurrency (DOGE, SUI, SEI, LINK, SOL, etc.) can benefit from custom parameter tuning. Consider slower MACD parameters for noise reduction in volatile crypto markets Alert System The strategy provides comprehensive alerts for: Entry Signals : Long and short entry triangle appearances Exit Signals : Position exit notifications Color Changes : Individual histogram color alerts Trend Conditions : Price above/below trend MA alerts Strategy Parameters Default Settings Initial Capital : $1,000 Position Size : 100% of equity Commission : 0.1% Slippage : 3 points Date Range : January 1, 2018 to December 31, 2069 Risk Management (Optional) Stop Loss : Disabled by default (customizable percentage-based) Take Profit : Disabled by default (customizable percentage-based) Short Trades : Disabled by default (can be enabled) Important Notes and Limitations Backtesting Considerations Uses realistic commission (0.1%) and slippage (3 points) Default position sizing uses 100% equity - adjust based on risk tolerance Stop-loss and take-profit are disabled by default to show raw strategy performance Strategy does not use lookahead bias or future data Risk Warnings Past performance does not guarantee future results MACD-based strategies may produce false signals in ranging markets Consider combining with additional confluences like support/resistance levels Test thoroughly on demo accounts before live trading Adjust position sizing based on your risk management requirements Technical Limitations Strategy does not work on non-standard chart types (Heikin Ashi, Renko, etc.) Signals are based on close prices and may not reflect intraday price action Multiple rapid signals in volatile conditions may result in overtrading Credits and Attribution This strategy is based on the original "MACD Liquidity Tracker System" indicator created by TheNeWSystemLqtyTrckr . This strategy version includes significant enhancements: Complete strategy implementation with entry/exit logic Addition of the "Crossover" system type Proper implementation and utilization of the MACD signal line Enhanced risk management features Improved parameter flexibility with no artificial maximum limits Additional alert systems for comprehensive trade management The original indicator's core color logic and visual system have been preserved while expanding functionality for automated trading applications.
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Quant_Trading_Pro tarafından
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