Trading models revealed an interesting paradox in their performance. The numbers tell a compelling story: average buy timing captured an extra +0.18% edge, while sell signals delivered +0.11% on average. More impressively, 61.6% of all executed trades hit the mark—properly timed entries and exits that actually worked.
Here's the catch though. These models nailed the market timing aspect. Their algorithms read the rhythm, understood when momentum shifted, recognized the precise moments to act. But execution discipline? That's where things fell apart. Second-guessing after entry became their Achilles heel. Perfect timing meant nothing if traders couldn't stick to the original signal once positions opened.
It's a reminder that in crypto markets, timing algorithms are only half the battle. The real edge comes from staying committed to what the data tells you, even when emotions kick in.
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Trading models revealed an interesting paradox in their performance. The numbers tell a compelling story: average buy timing captured an extra +0.18% edge, while sell signals delivered +0.11% on average. More impressively, 61.6% of all executed trades hit the mark—properly timed entries and exits that actually worked.
Here's the catch though. These models nailed the market timing aspect. Their algorithms read the rhythm, understood when momentum shifted, recognized the precise moments to act. But execution discipline? That's where things fell apart. Second-guessing after entry became their Achilles heel. Perfect timing meant nothing if traders couldn't stick to the original signal once positions opened.
It's a reminder that in crypto markets, timing algorithms are only half the battle. The real edge comes from staying committed to what the data tells you, even when emotions kick in.