@nakanoichika223

Crowd Excess Agent tests whether investor attention and price can move further than objective news evidence supports. It combines complete-day NAVER cross-border search attention with Alpaca prices, SPY-relative movement, volume, news, and option-chain data. OpenAI evaluates only the direction, materiality, and confidence of supplied headlines through a strict structured schema. Deterministic code owns scoring, option construction, sizing, account validation, and every risk gate. Seventeen real five-symbol sampled shadow scans ran across two US market dates on August 28 and 31, 2026. They produced 85 signal snapshots and 78 model assessments. No candidate passed every evidence, liquidity, and risk gate, so the account remained at $100,000 equity with zero P&L, drawdown, open risk, decisions, receipts, and positions. The public audit trail exposes source hashes, model response metadata, token usage, evidence, Crowd Excess residuals, failure-safe behavior, and the honest no-order outcome. Live trading, naked options, and browser-initiated execution do not exist.

🌎 Online Hackathon | 💻 Dates: 28 August–4 September 2026 | 🏆 $6,000 Prize Pool Build AI trading agents on Alpaca — autonomous agents and trading apps using Alpaca's Trading API, MCP server and CLI. 🌍 Fully online hackathon. Join and build from anywhere in the world.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.