About us
With a long-standing presence in the AI field, Fpb-Indicators combines extensive
research and cutting-edge papers to create top-tier algorithms.
Our focus on portfolio optimization
leads to the development of our advanced Portfolio Optimizer API.
Analyze market
In the analysis phase, our Portfolio Optimizer collects relevant data from various sources including financial markets, historical trends, and economic indicators. This information is then preprocessed to extract meaningful features that can be used to select a good basket of assets. By combining multiple data streams, our AI assistant gains a holistic understanding of the market environment, which sets the stage for optimal portfolio allocation decisions.
Training model
During the training phase, our Portfolio Optimizer API employs reinforcement learning techniques in conjunction with multi-layered deep learning models to learn from historical data and past experiences. Our sophisticated model architecture, incorporating dense and RNN layers, can process complex sequential data. We also use hyperparameter tuning to reach the best portfolio performance.
Inference
In the inference phase, our Portfolio Optimizer API draws upon the insights and expertise gained during the training phase to inform investment decisions and the portfolio ideal weights. By analysing your current portfolio weights and latest prices, the pretrained AI model is able to provide recommendations for optimal portfolio allocation. You just has to make a single API call and voilà !
