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Difficulty: Hard
Category: architecture & logic
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Topics: market-microstructure, risk, pandas, scipy
The Volume-Synchronized Probability of Informed Trading (VPIN) estimates order flow toxicity by sampling data using a Volume Clock rather than chronological time. By aggregating trades into fixed-volume buckets and analyzing price drift, this metric quantifies buy-sell imbalances to detect adverse selection risk and potential liquidity crises in high-frequency markets. Task Implement the function solution(trades, bucket_size, window_size, sigma) to calculate the VPIN metric from a sequence of t
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