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README.md

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+---
+tags:
+  - time-series
+  - finance
+  - itransformer
+  - onnx
+  - stock-prediction
+license: mit
+---
+
+# PutStrike iTransformer — Universal Stock Forecasting Model
+
+**iTransformer** (ICLR 2024) trained on 90 stocks for 60-day price forecasting.
+
+## Model Details
+
+- **Architecture**: iTransformer with RevIN (427,641 parameters)
+- **Input**: 60 days × 83 features (OHLCV technicals + macro)
+- **Output**: 60-day forward return forecast
+- **Training**: 208,881 samples, walk-forward validation (70/15/15)
+- **Loss**: HuberLoss(delta=0.02)
+
+## Test Metrics
+
+| Horizon | Directional Accuracy |
+|---------|---------------------|
+| 7-day   | 59.7% |
+| 14-day  | 62.5% |
+| 30-day  | 68.9% |
+| 60-day  | 71.1% |
+
+## Usage
+```python
+import onnxruntime as ort
+import numpy as np
+
+session = ort.InferenceSession("itransformer.onnx")
+# features shape: (1, 60, 83)
+output = session.run(None, {"features": features})[0]
+# output shape: (1, 60) — predicted returns
+```
+
+## Disclaimer
+
+This model is for research and educational purposes only. Not financial advice.