Many algo trading software solutions fail not because the concept is flawed, but due to poor planning, weak strategies, and lack of proper testing. One of the most common reasons is over-optimization, where trading algorithms are designed to perform perfectly on historical data but fail in real market conditions. Markets constantly change, and strategies that worked in the past may not always deliver the same results.
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