LearnFinance PatchTST Model - v2026-10-02-7e38003c317e

Close-only PatchTST transformer for predicting weekly stock returns.

Model Details

  • Version: v2026-10-02-7e38003c317e
  • Model Type: PatchTST (Patch Time Series Transformer)
  • Training Window: 2016-01-01 to 2026-10-02
  • Symbols: 203 stocks

Input Channels

  • Close log return (1): close_ret

Metrics

  • Train Loss: 0.0006434785694485375
  • Validation Loss: 0.0005411665080504313
  • Baseline Loss: 0.00053263088921085
  • Best Epoch: 11
  • Stopped Epoch: 19

Usage

from brain_api.storage.patchtst.huggingface import PatchTSTHalalNewHuggingFaceModelStorage
from brain_api.storage.patchtst.local import PatchTSTHalalNewModelStorage

storage = PatchTSTHalalNewHuggingFaceModelStorage(
    repo_id="hajirazin/learnfinance-models-patchtst-india",
    local_cache=PatchTSTHalalNewModelStorage(),
)
artifacts = storage.download_model(version="v2026-10-02-7e38003c317e")
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