Price: 0
Number of applications: 0
29.10.26 (inclusive)
Payment by milestones under a contract
A prototype scoring model exists; a production-ready solution is required
ICT tasks
Finance / FinTech
Data Analytics, Big Data, Artificial Intelligence or Machine Learning
Purpose and description of task (project)
Develop a system that uses the trade database to decide whose trades should be copied to the company’s real trading account, and automatically moves traders between the “copy” and “no copy” groups on the Match-Trader platform. The system must respect the capital limits of the real account and show on a dashboard how the account performs and how much of the payouts to copied traders it covers.
Software/ IS
Today, deciding whose trades to copy to the real account is done manually, and traders are moved between the “copy” and “no copy” groups by hand. This is slow and depends on one person. Our existing prototype scoring model runs locally and does not yet reliably predict a trader’s future results. We need a system that makes one decision per trader across all their accounts, filters out strategies that cannot be reproduced in the real market, and manages the groups automatically.
Real-time automated selection of traders for copying instead of manual decisions. Payouts to copied traders are covered by the profit their trades make on the real account. Risk on the real account is controlled through limits and an emergency stop, with transparent reporting on payout coverage.
Didar Abdygapparov
Note
An anonymized trade dataset will be provided after signing an NDA. The contractor will be selected based on a short test assignment.
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