AI Trading Predictor harnesses the power of AI to analyze market trends and predict future movements in various asset classes, including stocks, cryptocurrencies, and commodities. By leveraging real-time market data combined with advanced algorithms from OpenAI, it delivers accurate and reliable forecasts. Users can access predictions for different time frames, whether they are day traders or long-term investors. The platform is free to use and features a user-friendly interface for seamless navigation.

Day Trading Agents provides a comprehensive suite of AI-powered modules that automate the entire day trading workflow. The platform continuously ingests tick-level market data and applies machine learning models to identify entry and exit points. It features backtesting utilities that simulate performance over historical timeframes, risk management engines for dynamic position sizing and drawdown control, and live execution adapters that connect to brokerage APIs such as Interactive Brokers and Alpaca. Custom strategy components can be written in Python, allowing traders to incorporate technical, fundamental, or sentiment-based indicators. With a modular architecture, users can mix and match data preprocessors, predictive models, and execution strategies to fine-tune performance and minimize latency. The system also logs detailed trade metrics for performance analysis and iterative improvement.