FaradayDesk

We are building FaradayDesk for the @Bitget_AI hackathon. Basically a desk that helps you poke holes in an rToken thesis before you size in, without dumping your private notes into AI by default. More info soon.

Building FaradayDesk: challenge a stock-token thesis with Bitget snapshots, dated weekend, earnings and CPI history, and local stress math. Private notes stay in your browser. Humans decide. What would invalidate your thesis? faradaydesk.up.railway.app

FaradayDesk by ILERI [@0xileri] is a human-led research desk for Bitget stock-token markets. Tokenized US stocks can trade around the clock, but most traders still research them with tools built for either traditional market hours or generic crypto charting. FaradayDesk focuses on the moment before a trade: when a trader has a thesis, but needs to test what could break it. In this demo, We walk through a weekend-risk scenario for RNVDAUSDT. The app lets the trader enter a thesis, turn on Cage Mode to keep private notes and position details out of the AI request, define a hypothetical downside shock, review historical weekend behavior, request an AI research memo, and export a worksheet. FaradayDesk is not a trading bot and does not give autonomous buy or sell signals. It is a conviction-testing workflow: public market context, local stress math, historical evidence, privacy-aware AI research, and a documented decision record. Built for the @Bitget_AI Hackathon S2. Live demo: faradaydesk.up.railway.app GitHub: github.com/0xileri/FaradayDe… Core idea: the AI helps challenge the thesis, but the human decides.

FaradayDesk is a human-led conviction test for 24/7 stock-token markets.

this is us. faradaydesk is a research desk for bitget stock-token trades…stress-test the idea first, keep private notes local by default, human still decides. demo: faradaydesk.up.railway.app #BitgetHackathon