Our deliverables
A database which contains pre-ICO documentation and post-ICO performance (ROI and lifespan)
A database which contains data on crowdfunding/P2P platform features useful for rating platform integrity and predict fraud
Software (codes, packages) for evaluating/rating ICOs and crowdfunding/P2P platforms and for detection/early warning about fraud/illegal behaviour, with emphasis on the application of ML and other AI tools
Discussion papers (DP) on the methodology for evaluating/rating ICOs and crowdfunding/P2P platforms and for detection/early warning about fraud/illegal behaviour, with emphasis on the application of AI tools
A position paper and roadmap on mitigating risks connected with the increased use of digital assets
A handbook or wiki page describing potential approaches to tackle risk management issues related to blockchain assets and crowdfunding/P2P lending
Software (codes, packages) to conduct robustness checks of ML models used by financial institutions, mostly for regulators and the industry
A discussion paper for possible approaches to building a statistically valid back-testing framework
Methodological discussion paper on the design of stress tests for the evaluation of AI and ML models under shifting financial conditions to improve the robustness of models
Position papers, aimed at regulators and policy-makers, on methodology (with examples of formal criteria) for testing AI techniques in real-time
An internal database of collected (scraped) financial time series from exchanges and regional consolidation platforms optimised for accessibility to all partners
Software (codes, packages) on simulation of “failed trials” and developed quantitative strategies
Methodological discussion papers on AI models to generate “failed trials” of investment product producers and on quantitative strategies with the usage of the promising field of network data analysis