@starkstechnology: I’ve spent over five years building an algorithmic trading platform. Over these past five years, my user and I have ran over 100,000 backtest in production. I decided to use natural language processing to understand what makes a trading strategy good and what makes a trading strategy bad. According to this did a set of over 100,000 Baptist, a good trading strategy has simple rules that are interpretable. They often have a combination of technical and fundamental indicators. For example, example, a good trading strategy might buy fun mentally strong stocks (NVDA, Google, Meta, etc) if it’s below a certain moving average. Bad treating strategies are extremely complex, and often contain a combination of (often contradictory) rules. they can be extremely overfit, or contained impossible to achieve conditions. Note, these trains are simple rules that require price, economic, and fundamental data. A more advanced analysis would also include trading strategies that incorporated sentiment data or other alternative data sources. If you’re someone that wants to learn how to trade, then this analysis is specifically for you. Have questions? Leave a comment below. #AlgoTrading #AlgorithmicTrading #AITrading #TechnicalAnalysis

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2025-11-03 04:42:15

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