RefineQuant features
AI strategy building, validation, and backtesting for trader-defined ideas.
RefineQuant helps traders describe a strategy, structure the logic, validate the setup, and run supported backtests before risking real capital.
AI strategy builder
Turn plain-English trading ideas into structured entry, exit, and risk rules that can be reviewed before testing.
Strategy validation
Check whether the rules are complete, consistent, and ready for a backtest before treating an idea as usable research.
GOLD/XAUUSD backtesting
Run the current public beta workflow against supported GOLD/XAUUSD market data and review simulated performance.
Backtest result review
Use summaries, trade profiles, and risk notes to understand what worked, what failed, and what needs refinement.
Strategy iteration
Refine prompts, rules, and assumptions while keeping the workflow connected from idea to tested strategy.
Research workspace
Keep strategy building, review, monitoring, and beta access connected inside one web-based trading research workflow.