Pattern Machine — vectorized time series motif search. Given a query window (ticker + date range), finds the top-k close

Pattern Machine — vectorized time series motif search. Given a query window (ticker + date range), finds the top-k closest historical price patterns using normalized L1/L2 distance. Returns matched pattern dates, closes, similarity scores, and aggregated 7-day and 30-day forward return statistics. HOW TO CALL: POST /get_patterns?ticker=AAPL&start_date=2024-01-02&end_date=2024-03-01&k=5&metric=l2&wrap=true&timeframe=1d PARAMETERS: ticker — asset symbol (e.g. AAPL, BTC-USD, SPY) start_date — query window start, inclusive (YYYY-MM-DD) end_date — query window end, exclusive (YYYY-MM-DD); must be > start_date k — number of analog patterns to return (default 3) metric — distance metric: 'l1' (Manhattan) or 'l2' (Euclidean, default) wrap — allow circular search across the full history (default true) timeframe — bar size: '1d' (default), '1h', '