Historical research profile where CUDA accelerates parameter exploration; Rust CPU replays candidates and the sealed holdout remains authoritative.
Open the exact public contract, search variants locally, then decide only after the sealed holdout.
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CUDA GPU represents a simulated research family. The GPU explores predeclared combinations on training data; Rust CPU replays the selected candidate before the chronological holdout is opened once. This profile describes neither high-frequency trading, broker orders nor autonomous production adaptation.
Declares a parameter population, evaluates it in parallel on training data, exactly replays the selected candidate with Rust CPU, then opens the chronological holdout once. No real order is sent.
Predeclared research space around EMA/SMA, RSI, MACD, Bollinger Bands and ATR rules. Measured parameters remain bound to the report dataset and protocol.
High
Parallel exploration reduces search time when the workload suits the GPU. CPU replay and holdout expose divergences; they do not guarantee the absence of overfitting.
A large search space increases curve-fitting risk. Compute cost and complexity require CPU replay, uncertainty diagnostics and an independent holdout.
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