Structure & Correlation Monitor (Crypto Rotation)

Rolling correlations measure how closely an asset moves with BTC over time. This Skill calculates 6-hour and 1-day Pearson correlations plus OLS beta from local OHLCV CSV files, outputting JSON with correlation and beta values to assess co-movement and relative performance.

You need 1-hour OHLCV CSV files with columns: timestamp, open, high, low, close, volume. Files must be placed in data/ohlcv/1h for BTC, ETH, SOL, ADA, ZEC, DASH, and PAXG. The Skill reads these directly and outputs JSON with correlation and structure signals.

Yes. This Skill applies EWMA smoothing to correlations, detects 4-hour swing pivots for regime shifts, and monitors 1-hour VWAP reclaim status. It combines these signals into an eligibility flag and structural assessment to guide rotation timing.

Change-of-Character identifies swing pivots (higher-highs, lower-lows, and reversals) at 4-hour intervals to signal regime shifts. Combined with correlation and beta trends, it helps confirm whether a crypto is breaking structural patterns and eligible for rotation.

VWAP reclaim and retest signals on 1-hour charts show whether price is holding above or testing support/resistance. This Skill monitors these levels alongside correlations and beta to refine entry/exit timing for rotation trades.

This Skill requires clean, complete 1-hour OHLCV CSVs with no gaps. Results depend on data quality and historical depth; short windows may produce unstable correlations. Ensure files cover sufficient history for reliable rolling estimates.