Advanced Financial Intelligence Powered by Modern Portfolio Theory & Reinforcement Learning
Finai leverages Modern Portfolio Theory (MPT) to construct optimal portfolios. By analyzing historical price data, we calculate the Efficient Frontier to maximize returns for a given level of risk.
Our Reinforcement Learning Studio allows you to train and evaluate autonomous trading agents. Using state-of-the-art algorithms like PPO (Proximal Policy Optimization), agents learn to navigate market conditions.
Get up-to-the-minute analysis on stocks and crypto assets. Our system continuously monitors market data to provide timely insights and rebalancing recommendations.
Build a basket of EGX stocks or crypto with the weights you choose (tick names on the home-page tabs, or type them in), then let the simulator replay the basket's own history thousands of times. Each path is a block bootstrap: random stretches of consecutive trading days, resampled with replacement from the window you pick, so correlation between the assets and volatility clustering survive. Positions are bought once and left to drift (buy-and-hold).
A bootstrap can only replay the kind of days that happened in the window — it is a range of plausible outcomes, not a forecast, and not financial advice. Log in to use it.