AI engineer, systems-leaning. Rust, Go, Python, TS

currently_building: "peeky";getpeeky.ai

currently_reading: "The Beginning of Infinity: Explanations That Transform the World";

currently_listening: "2 lost electronic";

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trying to think of a way to reduce the cost of backtesting since currently i need like 1000 calls just to test one model on like 10 tickers for 3 years. and its not even obvious if the backtesting is gonna be statistically significant on just one run if models are inherently random :/