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per_stock/{SYMBOL}.onnx.1import onnxruntime as ort
2import numpy as np
3
4# Load per-stock model
5session = ort.InferenceSession("per_stock/AAPL.onnx")
6
7# features shape: (1, 60, 137)
8output = session.run(None, {"features": features})[0]
9# output shape: (1, 60) — predicted returns