Team Idea
Building an AI trading agent that can research market opportunities, form a trade thesis, evaluate risk, and execute through Alpaca within strict risk guardrails.
We’re building an agentic trading system with a full decision loop: market data → opportunity detection → reasoning → risk validation → execution → monitoring → post-trade evaluation.
Key areas we’re exploring include multi-agent research, dynamic strategy selection, position sizing, portfolio-level risk controls, confidence scoring, human approval for high-risk actions, and learning from previous trade outcomes.
Looking for strong Data/AI and backend contributors interested in trading systems, agents, quantitative research, market data, or evaluation infrastructure.
Submission
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