MJR CatBoost Clusters Gen4
- Uzmanlar
- Sürüm: 1.0
- Etkinleştirmeler: 15
MJR CatBoost Clusters Gen4 is an EA designed for major Forex currency pairs, built on the CatBoost machine learning algorithm and cluster analysis techniques applied to market data.
During operation, the EA analyzes a large number of parameters derived from price action and moving averages. This data is processed by the CatBoost model, which identifies the most probable market entry opportunities.
The following groups of features are used for market analysis:
Distances Between Price and Moving Averages
The EA calculates the distances between the current price and moving averages of different periods, as well as the distances between the moving averages themselves. These metrics help evaluate the strength of the current trend and the degree of price deviation from its average values.
Normalized Features
All key parameters are additionally normalized relative to the price or moving averages. This allows the model to perform consistently across different market conditions and remain independent of the absolute price level.
Window-Based Statistics
For various time windows, the model calculates statistical metrics such as mean, maximum, minimum, and standard deviation. These indicators help the model assess current market volatility and behavioral patterns over a selected period.
Historical Features (Lags)
Previous values of the calculated features are included in the analysis. This approach enables the model to track changes in market structure and capture the evolution of market conditions over time.
Relative Ratios
The model uses ratios between price and moving averages, as well as ratios between different moving averages. These features provide a more accurate representation of the current market position relative to its equilibrium state.
Moving Average Slopes
The rate of change of moving averages is analyzed to estimate both the strength and direction of emerging market trends.
Market Structure Compression
The EA also measures the degree of convergence between moving averages. This helps identify periods of consolidation and ranging markets, which often precede significant price movements.
Trend Structure Detection
The model evaluates the relative positioning of multiple moving averages. When the averages are aligned in a specific order, the model receives additional confirmation of a bullish or bearish trend.
As a result, CatBoost obtains a comprehensive view of current market conditions and makes trading decisions based on the combined influence of numerous factors rather than relying on individual indicators.
Recommendations:
- Connecting an account through the spread rebate service will allow you to earn additional profit in the form of spread rebate.
- Currency pairs: EURUSD and GBPUSD.
- Timeframe: H1.
- The spread is not important, the broker is not important.
Settings:
- "------------Open settings------------";
- Intensity - trading intensity;
- "------------Lots settings------------";
- MaximumRisk - maximum risk per trade (the number of enabled strategies is taken into account);
- CustomLot - fixed lot per trade;
- "------------Close settings------------";
- TakeProfit - fixed profit;
- StopLoss - fixed loss;
- "------------Other settings-----------";
- UsePanel - Show information panel;
- UpdateSeconds - Panel update frequency, sec;
- MaxSpread - maximum spread for opening a position;
- Slippage - slippage;
- Magic - magic number;
- EAComment - position commentary (ATTENTION - do not change position comments. The EA keeps track of comments).
