Real-time crypto data, fused with ML sentiment
KriptoPanel reads market mood alongside price — combining live exchange data with a machine-learning sentiment engine so a signal is never read in isolation.
Price never read in isolation
KriptoPanel continuously ingests live market data, computes technical-analysis indicators, and scores market mood with a machine-learning sentiment engine — then fuses the two into a single, real-time view. It streams data from exchanges and social/news feeds around the clock, so the signal reflects both what the market is doing and how it feels.
How it's built
◈Streaming ingestion
A real-time pipeline pulling live market data from exchange APIs (Binance, Bybit) alongside social and news feeds — async, always-on.
◧Technical-analysis engine
Orderflow-aware indicators — Market Profile / Auction Market Theory, CVD, Open Interest, Fibonacci — computed continuously on the live stream.
◉ML / NLP sentiment engine
An ensemble of transformer and rule-based models scoring social and news text in real time, tuned for crypto and finance language.
⟐Signal fusion
Sentiment score fused with live price into one actionable signal. Production ML serving under real load — not a notebook.
An ensemble, not one model
Domain-tuned transformers do the heavy lifting on crypto and finance text, combined with fast rule-based scoring for robustness. A scoring layer on scikit-learn and SciPy turns model output into a usable signal.