End-to-end Bitcoin analytics and ML pipeline on AWS. Ingests BTC/USD OHLCV (1m) to S3, converts to partitioned Parquet for Athena, validates data, trains a Random Forest volatility model with SageMaker, and serves predictions via a managed endpoint. Dashboards in QuickSight.

Multi-market quant trading: BTC(live) + KR equities + US equities with ML signals, real-time dashboard, Google Sheets reporting

This project builds a Bitcoin (BTC) price prediction pipeline using classification and regression models to forecast next-hour price movements and values. It fetches hourly data, engineers features, applies multiple ML models, and prepares outputs for a Streamlit dashboard.

Python-based toolkit for short-term trading signals on Bitcoin (BTC) and Gold (XAUUSD). Includes data ingestion, technical indicators, ML-based models, and rule-based strategies. Features backtesting with costs/slippage, FastAPI signal API, and a web dashboard for real-time signal monitoring.

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BTC Signal Pro - Bitcoin trading signal dashboard wth news monitoring + ML prediction

Institutional-grade crypto exchange revenue predictor with ML models, live BTC data, and interactive Streamlit dashboard

RRP TECH Crypto Engine — Automated daily BTC regime analysis, ML-powered coin watchlist, and alpha signals. Live dashboard updated every morning.

End-to-end BTC price prediction using ML (XGBoost, RF, Lasso), CoinGecko API, Power BI, and Windows automation. Includes daily updates, weekly retraining, and dashboards.

Real-time BTC/USDT ML prediction pipeline — Binance WebSocket ingestion, Apache Kafka streaming, MongoDB + PostgreSQL storage, Airflow orchestration, and a live Streamlit trading signal dashboard. Dockerised.

Polymarket trading bot with ML ensemble (XGBoost + LightGBM), concept drift detection, auto-retrain pipeline, Telegram alerts, and live React dashboard. Trades BTC 15-min binary prediction markets.

A professional-grade BTC/USDT algorithmic trading suite featuring a calibrated 4-model ML ensemble, a PPO-Transformer agent, and a real-time glassmorphic dashboard. Built with FastAPI, Stable-Baselines3, and Binance integration.

Real-time crypto news sentiment dashboard with pluggable ML backends: VADER, FinBERT, and RoBERTa. Select backend via config, compare model performance, analyze BTC/ETH/SOL trends, visualize with Plotly/Matplotlib, and export PDF reports with finance-grade insights.

Crypto trading dashboard that combines trained ML models (HMM regime detection + LightGBM 4h specialist), real-time derivatives data (funding, OI, order book), macro indicators, and AI-powered sentiment analysis to generate actionable BTC trading signals with automated risk management.

Full-stack AI crypto trading platform: PyTorch deep learning model (TCN) generates real-time BTC trading signals, automated execution engine with risk management, Streamlit dashboard with live analytics, FastAPI backend, SQLite ORM. End-to-end system design from ML model to production deployment in algo trading.

production-grade Python system that continuously ingests live Binance BTC market data, trains risk-reward driven ML models on modern indicators, runs scheduled “dummy” trades to evaluate P&L, hosts a modern Flask dashboard showing live status/logs/metrics, stores local state in SQLite, and runs indefinitely on AWS EC2 with a clear path to scale.