XAG CatBoost Clusters Gen2

XAG CatBoost Clusters Gen2 EA is built on the CatBoost algorithm with market data clustering techniques. At its core, the model uses a set of technical features based on silver price data and moving averages (MA).

As inputs, it takes distances between price and different MAs across multiple timeframes, as well as the distances between the moving averages themselves. This helps the model figure out how far price is stretched away from its average and how strong the current trend actually is.

All features are normalized (by dividing by price or MA), which removes scale effects and makes the model more stable across different market conditions.

On top of that, it uses rolling-window statistics like mean, standard deviation, minimum, and maximum. These describe volatility and general market behavior over a given period.

The model also includes lag features — basically past values of indicators — so it can “see” how the market is evolving over time. It also uses ratio features like price-to-MA and MA-to-MA relationships, showing where price sits relative to the trend.

To measure trend strength and speed, it calculates the slope of moving averages. There’s also a “compression” metric — the total distance between MA lines — which helps tell if the market is ranging or trending.

On top of that, it uses simple binary trend structures, like MA1 > MA2 > MA3 or the opposite, which helps classify trend direction and strength more clearly.

Recommendations:

It’s recommended to connect your account through a spread rebate service — it can bring extra profit by getting part of your trading costs back.

  • Trading instrument: HAGUSD (Silver)
  • Timeframe: H1
  • Spread: not important
  • Broker: doesn’t matter

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).
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Have you ever wondered why most expert advisors are not effective in live trading, despite their perfect backtest performance? The most likely answer is  Over-fitting . Many EAs are created to ‘learn’ and adapt perfectly to the available historical data, but they fail to predict the future due to a lack of generalizability in the constructed model. Some developers simply don't know about the existence of over-fitting, or they know but don't have a way to prevent it. Others exploit it as a tool
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GOLD CatBoost Clusters Gen2  EA operates on the CatBoost algorithm using clustering methods. A set of features is fed into the CatBoost model, constructed based on price data and moving averages (MA). These include distances between the price and MAs across different periods, as well as between the MAs themselves, which help capture deviation and trend strength. The features are normalized—by dividing by the price or MA—to make them scale-invariant. Additionally, rolling window statistics (mean
MJR CatBoost Clusters Gen2   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
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