Bot Of The United States
summary
A trading experiment ties Donald Trump tweets to currency trades: sentiment scoring and key‑phrase extraction (Microsoft Text Analytics API) decide buys or sells, then an SPA hosted as a serverless SPA drives a simulated portfolio that turns ~$2,000 into an $83 paper profit before the project is shut down; backend orchestration uses cloud function invocations and workflow tooling (durable workflows / Azure Functions) to poll Twitter, map mentions to countries, and execute long‑held positions.
AI-written summary · about
chapters (7)
- 0:00Start
- 0:11Closing Keynote
- 2:53Who Am I
- 7:58Sentiment Analysis
- 19:27The Limitations
- 22:11Logic Apps
- 23:48Durable Functions
related talks
55mEnraptured Minds: Strategic Gaming of Cognitive Mindhacks
46mI’ve built a SPA, now what?
01h 00mRock ‘Em Sock ‘Em Robots: Bot Swatting Like the Pros
36mBitcoin Institutional Capture
27mToken Engineering Toolkit: Practical Insight
45mThe Security Wolf of Wall Street
47mDiscovering the True Identity of @Horse_js Using Machine Learning
51mCloudBots: Harvesting Crypto Coins Like a Botnet Farmer
