I have a large set of hourly historical Forex price data and need a clear, intuitive heatmap that pinpoints likely reversal zones. The idea is simple: feed in raw OHLC data and receive a visual grid that instantly shows where price momentum has repeatedly stalled or turned. What I already have • Hourly candles in CSV format covering several currency pairs • Basic notions on what constitutes a “reversal” (sharp wicks, engulfing ranges, etc.) but no automated way to visualise them What I need from you 1. A repeatable script—Python is ideal, though R or MATLAB is fine—that: • Imports my existing CSV files • Calculates reversal-related metrics (pivot highs/lows, average true range bands, or your preferred method) • Aggregates those metrics across time to create intensity values 2. A heatmap output (static PNG plus optional interactive HTML via Plotly or Bokeh) where high-intensity cells mark zones of frequent reversals. 3. Clear documentation: • How to run the code with fresh data • Parameter explanations so I can tweak thresholds or add more pairs later • A short note on performance considerations if the dataset grows Acceptance criteria • Running the script on my sample data produces a colour-coded grid with visible clusters at known historical turning points. • All dependencies listed in a requirements.txt (or equivalent). • Code is commented well enough for a competent analyst to extend. Please keep the solution lightweight—no heavy enterprise frameworks—so I can schedule it on a VPS without hassle.