Crypto Traders Manually Scan Hundreds of Charts to Catch Volume Anomalies
Crypto traders trying to detect institutional accumulation or breakout signals before price moves currently must manually flip through many charts and tickers, a slow and error-prone process. This creates demand for automated, real-time volume/order-flow anomaly detection with alerting.
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