Piping 1-minute BTCUSD candles straight to an LLM burns tokens and adds 800ms to 4s of inference latency right when Bid/Ask spreads move against you. We moved order checks and sizing into a local Python loop, leaving the model on a 15-minute cadence to update market bias into cache.
How are you handling the latency gap between model responses and tick-level order execution? #Python #AlgorithmicTrading #FinTech