Entries
Browse submitted projects, teams, and winners.
8 Entries
| Entry | Description | Team | Status |
|---|---|---|---|
| Audited chat/API turning natural language into intents for QriptoCENT micro-slippage trades; submits to orchestrator/risk manager; never executes or holds keys. | 1st Place | ||
| Team lead by Consultants, Investors to build Investment Analyst Agent can do research on trend and write report. | 2nd Place | ||
| Team consisting of Charles Inwald (Senior Backend Engineer, Point72 — Python, FastAPI, React, Rust, AWS) and Neh Majmudar (PhD student, CUNY — multilingual NLP, Bayesian modeling). | 3rd Place | ||
| Team led by a KCap Bio Fund Hedge Fund Analyst and ML/Data Engineer (MD; MS/PhD Stanford & Oxford), specializing in RL and multi‑modal price models. | Submitted | ||
| Measure calibration error/biases across Kalshi markets, grouping by odds, political lean, and market type to improve risk/betting edge. | Submitted | ||
| Team consisting of Syed Shah (AI SWE, NYU), Vassili Skarine (Snowflake engineer, Waterloo), Wenqing Li (Antra SWE, NYU) — Go, TypeScript, Python, AWS, Snowflake, LLMs. | Submitted | ||
| Trade liquid, yield-bearing prediction assets on on-chain markets where intuition, narrative-driven belief, and community participation determine value and risk. | Submitted | ||
| Learn Flow: an AI-powered, hands-on finance platform teaching budgeting, investing, and cash-flow forecasting through simulated decisions with instant AI feedback. | Submitted |
