After thousands of trades' worth of data, one of the inputs the desk relied on turned out to be near-noise. Removing it made the rest of the picture cleaner.
One old input looked useful because it agreed with the profitable trades. When we isolated it, it was mostly repeating information the stronger signals already carried.
Keeping it made the desk overconfident in messy conditions. Removing it lowered trade count and made the remaining signals cleaner.
A simpler model is easier to distrust when it should be distrusted. That matters in live trading, where the cost of one false confirmation is paid immediately.
The removal did not make the desk smarter in a flashy way. It made it less gullible.
Curious how the desk reasons? Read how the desk trades, or the honest take on whether AI trading is actually profitable.
Subscribers get this every morning. Where the market sits, what the desk is biased toward, and what would make it change its mind. Read the full unredacted version.
ReadA look back at the strongest and most painful stretches in the archive. Patterns we saw, lessons that stuck, what we changed.
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ReadSee the full system view - how the desk reads markets, places trades, and explains every decision.