An AI-powered penny stock intelligence platform that uses advanced machine learning to identify high-probability trading opportunities with 70%+ success rate.
Qunex Trade is an advanced machine learning system designed to predict penny stock surges (50%+ intraday gains) with exceptional accuracy. Using ensemble learning and 115+ engineered features, the model achieves a 0.9789 ROC-AUC score and maintains a 70%+ success rate in real-world trading scenarios.
The system continuously monitors 522 penny stocks, collecting historical price, volume, and technical indicator data. Advanced feature engineering creates 115+ predictive features including volatility patterns, momentum indicators, and price-volume relationships.
Four state-of-the-art ML models work together:
The models are weighted and combined to achieve a final ensemble ROC-AUC of 0.9789.
Every day at 4:05 PM ET (after market close), the system automatically:
The system tracks every signal's actual performance by comparing predicted vs. actual results. Success is measured by 50%+ intraday gains (buy at open, sell at close). All signals remain active over weekends and holidays until the next trading day.
Signals generated daily at 4:05 PM automatically. No manual intervention required.
Every signal is tracked and performance is recorded automatically with success/failure status.
Only signals with 90%+ confidence are displayed (0.90 threshold for optimal signal volume).
19 months of rigorous backtesting (Apr 2024 - Oct 2025) with 70%+ success rate.
All signals, results, and statistics are openly displayed on the dashboard.
Automatically handles weekends and US market holidays. Signals persist until next trading day.
Kwangui Chung
University of Illinois at Urbana-Champaign (UIUC) Student
Developed as a personal project to explore machine learning applications in financial markets.
Combining academic knowledge with practical trading strategies.
This system is for educational and informational purposes only.
Trading penny stocks involves substantial risk of loss. Past performance does not guarantee future results. The 70%+ success rate is based on historical backtesting and may not reflect future performance. Always conduct your own research and consult with a financial advisor before making investment decisions.
This is not financial advice. Use at your own risk.