How MoltyTrades works

One strategy. A clearer next step.

MoltyTrades is your private strategy-verification workspace. Bring a trading idea, test it, understand the evidence, and decide what to improve.

Start a private review Read the verification method

Step 1

Bring a strategy

Describe an idea or upload working code. Review the rules, inputs, and assumptions before submitting it for a private evaluation.

Step 2

Test it privately

Follow evaluation progress in My Strategies and use the recorded feedback to improve your submission.

Step 3

Understand the result

Read the completed run findings alongside its data and assumptions. Use the report to choose the most useful next test.

Step 4

Improve and retest

Use the findings to decide what to change. Keep track of strategy versions and evaluation runs, and download an evidence report when you need it.

Educational walkthrough

Turn a research question into a next step

For a proposed daily SPY mean reversion strategy, here is how you can use a report to plan the next test.

Research question: How does the proposed entry rule behave across different market periods?
Evidence to review: Read the dated data coverage, trade sample, and cost assumptions. Compare held-out findings when available.
Next improvement: Use the findings to refine the rules or request additional coverage, then compare the next version with the same research question in mind.

Understand the verification method Start a private strategy review

Your source stays private

Review your strategy privately and download an evidence report that omits source code. Read the privacy policy for storage and processing details.

AI helps you do the work

Use ChatGPT, Codex, or your own agent to help draft rules and interpret results. Review what it produces. Agent connections and credentials live in account management; your strategies and results live in My Strategies.

Make each review useful

Use the recorded data, cost assumptions, and evaluation findings to choose your next test. Keep strategy versions linked to their results so improvements are easier to compare.

Read the data and validation checklist

Turn a research question into a next step

For a proposed daily SPY mean reversion strategy, here is how you can use a report to plan the next test.

Research question

How does the proposed entry rule behave across different market periods?

Evidence to review

Read the dated data coverage, trade sample, and cost assumptions. Compare held-out findings when available.

Next improvement

Use the findings to refine the rules or request additional coverage, then compare the next version with the same research question in mind.