AI prompts and crowd tools for research

Traders are turning prompt templates into instant research notes, then pairing them with prediction-market dashboards to decide what to buy and how big to bet. (openai.com) The prompt side is straightforward: a user gives a model a company name and a fixed checklist, and the model returns a memo covering the business model, competitive moat, financials, risks and bull-base-bear scenarios. OpenAI’s developer docs describe prompt engineering as writing instructions that make outputs more consistent, and Anthropic says better prompts improve quality and reduce cost. (openai.com) (anthropic.com) The market side is also becoming productized. Polymarket Analytics says its trader leaderboard lets users filter more than 1 million Polymarket traders by profit and loss, win rate and position size, while its activity pages track trades, positions, deposits and withdrawals. (polymarketanalytics.com 1) (polymarketanalytics.com 2) That combination compresses a workflow that used to require earnings filings, spreadsheets, chat rooms and market screens. Bloomberg said on April 7, 2025 that its AI-Powered Document Insights product was built so analysts could ask questions across company documents in plain language instead of reading them line by line. (bloomberg.com) Prediction-market traders are adding a second signal on top of the memo: who else is putting money to work. Polymarket Analytics says its data updates every five minutes, and its research posts frame wallet behavior, open interest and capital “velocity” as ways to see whether traders are making quick speculative bets or holding higher-conviction positions. (polymarketanalytics.com 1) (polymarketanalytics.com 2) The appeal is speed, but the tools do different jobs. A prompt template can summarize a company in seconds, while a leaderboard or activity feed shows whether specific wallets are actually gaining, losing, depositing or rotating capital across markets. (openai.com) (polymarketanalytics.com) The risks are also different. Model outputs can sound polished while missing a filing detail or misreading a number, and leaderboard-following can turn into copy trading without understanding why a position was opened or hedged. OpenAI’s prompting guide says developers should define what “done” looks like and add verification steps, not just ask for fluent prose. (openai.com) Polymarket Analytics is leaning into that demand with paid research features. Its pricing page lists a free tier with trader leaderboards and a premium tier at $20 a month with advanced portfolio tracking, while its home page advertises tools to view traders, markets, positions and trades across the platform. (polymarketanalytics.com 1) (polymarketanalytics.com 2) What emerges is a faster retail version of the old buy-side stack: one tool drafts the note, another watches the tape, and the trader decides whether the thesis is worth real money. (openai.com) (polymarketanalytics.com)