Optimizer Finance

Decentralized platform (DAO) offering tokenized investment products in crypto assets, managed in an automated and transparent manner. Developed during the ETHOnline 2024 hackathon (August-September 2024), the project uses Machine Learning models to optimize crypto portfolios with intelligent rebalancing based on on-chain data.

The team is composed of Diego, Brandyn Hamilton, and Antonio Tellez.


ETHOnline HQ

Main hackathon and product documentation.

  • Optimizer Finance DAO - General project description, problem, solution, and proposed products (C101, C201)
  • Tokenomics - Algorithmic mechanics of fund token issuance, rebalancing, and liquidation
  • RWA Financial Model - Financial model of self-financing replicating portfolios using Black-Scholes-Merton and Monte Carlo simulation
  • Critical Path - Development plan with architecture, components, contracts, and frontend phases
  • Prizes - Hackathon tracks and prizes (Chainlink, Lit Protocol, Galadriel, Kinto, Tableland)
  • Important Rules - Hackathon evaluation criteria and ideas for the Galadriel track
  • Data - Data index and datasets used
  • Documents - Technical and product documentation index
  • Environment Variables - Environment variables configuration and Python virtual environment

Documents

Detailed technical documentation and product brainstorming.

Data

  • Datasets - Proposed datasets: ETH/BTC Traditional Fund, Layer 2 Token Fund, RWA Token Fund

Private & Shared

Team information and internal configuration.

  • Home - Workspace home page
  • People - Team contacts directory
  • Tech Stack - Technology stack (Scaffold-ETH-2 + Flask)

People

Prizes & Partners


3 items under this folder.