chirindaopensource/adaptive_dataflow_system_for_financial_time_series_synthesis
End-to-End Python implementation of bi-level optimization for financial time-series synthesis from "History Is Not Enough" by Xia et al. (2026). Implements cointegration-aware data augmentation, curriculum learning, and meta-learned augmentation policies to immunize quantitative models against concept drift and market non-stationarity.
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Jan 19, 2026
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