Crypto Analytics API Data Pipeline ML

BlockSigma

Real-time ML crypto forecasting system with integrated data engineering and automated prediction pipelines. Processes high-frequency market signals with minimal latency.

BlockSigma

Project Overview

BlockSigma is a cryptocurrency prediction system built to help traders track and anticipate price movement across active USDT trading pairs on Binance. It generates price predictions on two timeframes, 4-hour and 12-hour, using LSTM and XGBoost models trained on live market data, giving users a data-driven view of where an asset's price may be headed next.

The platform is built around accuracy, transparency, and continuous tracking. Predictions are generated on a recurring schedule and checked against real-time prices every 30 seconds to determine whether each prediction was reached. Technical indicators including RSI, MACD, StochRSI, and EMA feed into both the prediction models and a separate signal system that flags buy, sell, and hold conditions. Accuracy is tracked and summarized over time, so performance isn't just claimed, it's measurable and visible on the dashboard.

Use cases include: crypto price prediction tracking, technical-indicator-based trading signals, prediction accuracy monitoring, and automated asset/price data pipelines.

Current status: Prediction generation (4hr/12hr), accuracy tracking and summaries, the live dashboard, and the price-tracking pipeline are complete. Trading signal generation and email notifications are ready to be integrated for use for clients.

BlockSigma is best positioned as a practical analytics tool for traders who want model-backed price predictions with visible, trackable accuracy, not a black box, but a system that shows its own track record.

System Design Illustration

Screenshots

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