I was tired of not understanding. Of losing money over and over without knowing why. So I built everything myself. Not to predict the market — nobody can. But to understand it. To warn about dangers. To learn by observing.
The V4 Server processes real-time data from 540+ pairs: CVD, OI, Funding, Spoofing, Liquidations. PostgreSQL + Redis + MongoDB for millisecond analysis.
The engine aggregates public data, normalizes it, then combines several signal families: price, volume, open interest, funding, CVD, liquidations, BTC structure and order-book anomalies. The method favors signal convergence over single-point prediction.
Limits are shown deliberately: a signal can be invalidated, a pair can temporarily decorrelate, and a liquid market can change regime within minutes. This is why the platform remains educational.
Full-stack, data engineering, infra. The one who doesn't sleep.
Pattern analysis, multi-factor scoring, contextual synthesis.
Finance background. SMC, orderflow, market structure specialist.
Community of traders who survived the last bear market.