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Contribute to an AI research dataset by providing a personal brokerage transaction history and explaining specific trading decisions. Annotate at least five significant trades and provide a summary of your overall trading approach.
Contribute to an AI research dataset that helps study how individual retail traders make decisions. This one-time project combines your personal brokerage trade history with your explanations of selected trading decisions.
Export and upload your complete U.S. brokerage transaction history covering at least 24 months, with personal identifying details removed and no trades omitted.
Write a 100 to 250 word summary of your trading approach, typical holding period, instruments, and platforms.
Annotate at least five significant trades by identifying the matching symbol, date, side, and quantity, and explaining your reasoning at entry or exit.
Keep any reflections on trade outcomes separate from your explanation of the original decision.
At least two years of active trading in an account you own, with at least 1,000 trades during that period.
Experience trading stocks; options are also acceptable.
A complete history from a U.S. retail brokerage account, such as an account with a major online brokerage.
Willingness to share your full trade history with personal details redacted.
Trading is not primarily through a managed, employer, or prop-firm account, and is not mostly in crypto or futures.
Must be at least 18 years old and located in the United States. No specific education or professional background is required.
One-time payment of $400 upon completion of the full history upload and all five trade annotations. Partial submissions are not paid. Visa sponsorship is not available.
Remote, United States.
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