The qlib-datasinking project aims to provide a financial report data source for quantitative backtesting platforms like QLib and Backtrader. It addresses the common issue of quantitative backtests being starved for fundamental financial data, which is often buried in lengthy PDF reports. AI
IMPACT Enhances quantitative backtesting by providing access to fundamental financial data.
RANK_REASON The item describes a data source tool for quantitative backtesting platforms.
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