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2026·AI / ML / QUANT

StockSeqCompare

Head-to-head benchmark of six PyTorch sequence architectures — LSTM, GRU, Transformer, BiLSTM, LSTM+Attention, CNN-LSTM — on next-day stock return prediction. A naive OHLCV baseline isolates raw architecture performance, while a second causal, look-ahead-free feature-engineered pipeline backtests each model as a long/short strategy against buy-and-hold.

YEAR
2026
DOMAIN
AI / ML / QUANT
STACK
PythonPyTorchTime SeriesDeep Learning
ACTIVITY
13 COMMITS · JUL 2026