EigenFinTech provides an advanced platform for algorithmic trading and portfolio optimization using machine learning and Python integration. The system executes high-precision trades around the clock while employing backtesting and risk analysis techniques like co-moving and lag analysis. Clients can customize asset allocation and test strategies in a live market simulation environment without financial risk.
Funding
Funding not disclosed
Founders
Product
Problem
Individual investors often lack access to the sophisticated financial analytics and algorithmic trading tools used by institutional investors, hindering their ability to make data-driven decisions and optimize portfolio performance. Analyzing market data and implementing complex trading strategies requires specialized knowledge and significant time investment, creating a barrier to entry for many retail traders.
Solution
EigenFinTech provides a platform that democratizes access to advanced financial technologies, empowering individual investors with the tools to enhance their trading strategies. The platform integrates algorithmic trading, machine learning, and technical analysis to provide users with data-driven insights and automated trading capabilities. Users can leverage pre-built strategies or customize their own using Python, backtest strategies on historical data, and monitor portfolio performance through a user-friendly interface. EigenFinTech's paper trading feature allows users to test strategies in a virtual environment without risking real capital, facilitating learning and refinement of trading approaches.
Target Audience
The primary target audience includes individual investors and traders seeking to leverage advanced financial analytics, algorithmic trading, and machine learning to improve their investment outcomes.
Features
- Algorithmic trading engine that supports integration of custom strategies via Python
- Machine learning models for portfolio optimization and market data analysis
- Backtesting tool for evaluating trading strategy performance on historical data
- Paper trading environment for virtual portfolio construction and risk-free strategy testing
- Real-time market data for cryptocurrencies, US stocks, Canadian stocks, Forex, and ETFs (depending on subscription plan)
- Customizable portfolio creation and monitoring tools
- Co-movement and lag analysis to minimize risk and diversify portfolios
- Technical analysis strategies