Fintech solution for automated Forex trading based on self-learning predictive ai models
Development with regional partners supported by HAMAG-BICRO is currently in the phase 4 of the project. The product launch is planned for October 2022.
FX-AI is a FINTECH software solution that enables users connected to international currency markets with market competitiveness based on the application of machine learning models for predicting trading conditions and implementing a smart automated trading strategy. Based on artificial intelligence technologies and methodologies (AI), this product enables the prediction of index and price trends and the optimization and automation of trading in capital markets.
Due to the volatility of price index movements within the time series of targeted capital markets for which we profile our “FX-AI” solution, so far developed 1st generation machine learning model, despite the application of extensive domain experience and conducted analysis and engineering features, can not achieve a stable level profitability. The reason for this is the latency in learning the characteristics of changing trends as well as changing trends of interdependence of different extrapolated features as well as the weight of their impact on future changes. Therefore, it was found that it is necessary to apply the models of deep enhanced learning, which began to be experimented with several years ago. By implementing project activities, we want to create a methodology for building models that will be much more sustainable, flexible, and in the application more robust and durable, ie more self-sustainable in production application compared to existing solutions.
Target customers: financial institutions such as banks, equity funds and brokerage houses, capital market advisory offices and other FINTECH companies.
Research and development activities for the 2nd generation of automated trading solutions in the foreign exchange markets began in March 2020.
Activities of the 3rd phase of research and development – October 2021 – January 2022
Research of FX-AI machine learning model for continuous trading
Research on a trading strategy based on the FX-AI model
Development of a production model for continuous testing and self-learning
Development is currently in Phase 4 – Target Environment Demonstrations (TRL5).
The commercialization of the solution is planned for the 2nd half of 2022.
Project team skills:
Expert knowledge and experience in developing deep neural networks, establishing self-learning systems, handling multi-dimensional financial time series, quantitative methods, feature engineering using technical indicators, statistical arbitrage, trend feature development and economic and financial data analysis .
To develop the project, the company applied the skills of traders in capital markets with more than 10 years of experience combined with the expertise of development teams that have been developing machine learning solutions for more than 10 years for clients in the financial sector (banks, brokerages, etc.). and To develop and train enhanced Deep Reinforcement Learning models on data sets larger than 1TB, the company has provided access to supercomputer resources.
Research and development of models for FX-AI solution – phase 3
Development of machine learning models for prediction of conditions and determination of strategy in automated trading on international capital markets with increased volatility.
Improve and refine existing models by applying innovative methods and technologies of machine learning, which will enable the launch of the FINTECH software solution “FX-AI”.
19,760 EUR (148,210.55 HRK) – total EU funding: 10,000 EUR (75,000 HRK)
21.10.2021 – 19.01.2022
Ivan Nikolić, project coordinator
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