Rodrigo vega@vegao_rodrigoa

Hypercube Quant is an autonomous quantitative options trading agent designed to protect capital for everyday investors without financial background, answering the core question: "Am I making or losing money?" Key Architecture & AI Reasoning: 1. Chaos Theory Funnel: Evaluates liquid ETFs (EEM, XLI, XBI) using Hurst Exponent (trend inertia >0.65), Permutation Entropy (filters chaotic traps <0.60), and Predictability Composite Index (IPC). 2. Scribe Historical Memory: Every candidate trade is cross-audited against a live database of over 13,300 historical market decisions. 3. Deterministic Risk Gates: Enforces 100% cash-secured collateral (zero margin leverage), Knapsack allocation (<=30% cap per asset), and automated Take-Profit at 80% premium decay. 4. Human-Centered Teacher Mode: Live cognitive narration translating complex options mechanics into plain, transparent language. Alpaca Integration: Fully integrated with Alpaca Trading API, Market Data API, and Alpaca CLI. Maintained a verified profitable net equity balance exceeding $100,000 USD on paper trading account PA30I86WW6V6 with active winning positions on EEM and XLI.

🌎 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.