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README.md
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Unlike standard datasets that focus solely on price history, this repository includes **Order Flow dynamics** (Delta, CVD) and deep network analytics (Miner flows, Whale activity, Institutional sentiment). It is designed for training Machine Learning models (LSTM, Transformers, XGBoost) to detect market regimes, predict volatility, and simulate high-frequency trading strategies.
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* **Resolution:** 1 Minute.
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* **Coverage:** August 2017 —
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* **Format:** Parquet (Snappy Compression).
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* **Alignment:** Raw Time-Alignment (See Methodology).
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Unlike standard datasets that focus solely on price history, this repository includes **Order Flow dynamics** (Delta, CVD) and deep network analytics (Miner flows, Whale activity, Institutional sentiment). It is designed for training Machine Learning models (LSTM, Transformers, XGBoost) to detect market regimes, predict volatility, and simulate high-frequency trading strategies.
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* **Resolution:** 1 Minute.
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* **Coverage:** August 2017 — December 2025.
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* **Format:** Parquet (Snappy Compression).
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* **Alignment:** Raw Time-Alignment (See Methodology).
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