AI Quant Base

The question to answer

Can someone else understand exactly what your rule observes and when it acts? The first objective is a clear specification, not a return target.

Prepare a small scope

Choose one asset type and observation frequency. Record the data source, permission to use it, currency, date range and missing values. A short constructed series is sufficient to check arithmetic, but cannot establish market performance.

Follow three steps

Write the signal in plain language; convert it into explicit conditions; walk through a few observations by hand. State the earliest executable time and one condition that would invalidate the idea. Then read the backtesting guide before running a historical experiment elsewhere.

Keep a useful output

Save one page containing the question, data fields, entry and exit rules, position constraint, cost assumption and open questions. Completion means the rules can be inspected; it does not mean they are ready for live trading.

Start the practical task

Use the research studio to document rules or inspect a suitable equity series. Review the input assumptions and export your work before leaving.

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Questions about this workflow?

For a content question or suggestion, describe your research objective, asset type, current stage and the step you need explained. Please do not send account credentials or trading keys.

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Educational guide. No backtest or live trading result is reported on this page.

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