Focuses on market analysis for NASDAQ, cryptocurrencies, and commodities using Python, incorporating outlier detection, historical analysis, probability, and risk assessment, enhanced by machine learning and neural networks.
- Outlier_Nasdaq_All – Identifies outliers in NASDAQ market data.
- Outlier_Crypto_All – Detects anomalies in cryptocurrency data.
- Outlier_Commodity_All – Finds outliers in commodity market data.
- Historical_Data – Provides three years of historical market data.
- Historical_Data_Ratio – Analyzes data ratios for risk management.
- Historical_Data_DL_ANN_CNN – Uses deep learning (ANN & CNN) for performance prediction.
- Historical_Data_GRU – Employs GRU-based machine learning for risk assessment and forecasting.
- Historical_Data_NN_Predict_Returns – Utilizes neural networks to predict market returns.
- Historical_Data_PPO – Implements PPO-based analysis for decision-making.
This analysis is designed to provide a competitive edge in market understanding by leveraging outlier detection, four-quadrant analysis, and performance tracking over various timeframes (1 year, 6 months, 3 months, 1 month, and 1 week). By analyzing hidden opportunities within crypto, NASDAQ, and commodities, it aims to identify potential high-return "unicorn" instruments. Machine learning and deep learning techniques are applied not only for market prediction but also for comprehensive risk comparison across different instruments.
To enhance the machine learning algorithm and strengthen fundamental analysis using the Good to Great framework by Jim Collins, while also identifying potential instruments for swing trading and high-frequency trading (HFT).
Contributions are welcome! If you'd like to improve this project, fix bugs, or add new features, feel free to fork the repository, make your changes, and submit a pull request. Your efforts will help make this trading application even better!
If you found this project helpful or learned something new from it, you can support the development with just a cup of coffee ☕. It's always appreciated and keeps the ideas flowing!
