Score-Please |
How-Practised
AI Supports - User Decides
We sell decision-supports, not decisions. We do-not recommend,suggest,advice or signal what user should do or not.
Our Product
Our product is decision-supports lab for decision makers to perform domain back tests & deploy selected choices real time. Our AI lab supports in addition to strategy back-tests some unique domain-experiments- like can I back-test better ways of Money Management , Capital allocation, Selection decisions. This not only requires an Actor-Critic framework of engineering domain tasks to assemble and hold them in the first place but also a proprietary heuristic learning engine to drive such experiments and fetch domain outcomes.
Our Practice
Our-cycle of performing domain tasks with our-settings on Actor Critic tasks results in Our Benchmark Trade-board & Scoreboard.
Our Impact
We set best practices benchmarks for managements to up-tier their frequency & depth of domain actions.
Domain Tasks
Our Practice
Our-cycle of performing domain tasks with our-settings on Actor Critic tasks results in Our Benchmark Trade-board & Scoreboard.
Our Impact
We set best practices benchmarks for managements to up-tier their frequency & depth of domain actions.
Domain Tasks
- Generate better odds
- Select- MyTradeboad Strategies
- Trade- Actual market action
- Review performance.( Score Pls)
Score Please !
Chronicles Actual-performance of Our Benchmark Strategies-Signals-Trades NOT backtest. More on-web.
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