Optimizer Finance DAO
August 23 - September 13, 2024
Submission deadline: September 8, 11:00 hrs
Project Title: Optimizer Finance DAO
Problem:
Traditional investors find the crypto asset market highly volatile and complex to manage without prior experience with on-chain tools.
Solution:
A decentralized platform offering tokenized investment products in crypto assets, managed in an automated and transparent manner through a DAO.
Key Features:
- Defined strategies: Each product aligns with a specific investment thesis, offering options for different risk profiles and objectives.
- Risk management: Optimized for financial metrics such as Value at Risk (VaR) or Expected Shortfall (ES), protecting investor capital.
- Automation: Operates with minimal human intervention, reducing costs and errors.
- Intelligent rebalancing: Uses Machine Learning (ML) algorithms based on on-chain data to adjust the portfolio and maximize returns.
- Transparency: Fully auditable on the blockchain, providing trust and security to investors.
How It Works:
- Product creation: The DAO community proposes and votes on the creation of new investment products, defining the key parameters (assets, risk level, ML model, duration, etc.).
- Investment: Investors acquire tokens that represent a share in the chosen investment product.
- Automated management: The product operates autonomously, rebalancing the portfolio according to market conditions and established parameters.
- Transparency and audit: All transactions and operations are recorded on the blockchain and can be audited at any time.
Value Proposition:
- Ease of use: Simplified access to sophisticated investment strategies.
- Profitability: Risk-adjusted return optimization.
- Transparency: Full visibility and control over investments.
- Security: Capital protection through risk management and blockchain technology.
Summary
A dApp that manages a crypto portfolio, similar to an ETF in the web3 context, offering:
- Expected returns
- Risk reduction
- Diversification benefits
The application will use data and projections to back its claims, allowing users to invest in a diversified basket of liquid tokens managed by machine learning algorithms. This will provide greater efficiency and optimization in digital asset management, dynamically adapting to market conditions.
Team Members
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Contains the 2 main crypto assets
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For traditional and institutional investors
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Secure and efficient exposure to the on-chain market.
Product Example: Token101 by OptimizerFinanceDAO(R)
Investment thesis:
Proposed Product: C101
| Feature | Detail |
|---|---|
| Name | C101 |
| Duration | 5 years |
| Blockchain | Ethereum Mainnet |
| Assets | ETH, BTC |
| Rebalancing | Daily, based on an open-source ML model running in a Trusted Execution Environment (TEE) |
| Data | Obtained hourly via Chainlink |
| Model | Portfolio Optimizer V3 |
| Feature | Detail |
|---|---|
| Name | C201 |
| Duration | 3 years |
| Blockchain | Ethereum Mainnet |
| Assets | MATIC, SOL, AVAX, LINK, UNI, AAVE, DOT, and other selected altcoins |
| Rebalancing | Weekly, based on an open-source ML model running in a Trusted Execution Environment (TEE) |
| Data | Obtained in real time through decentralized oracles such as Chainlink and Band Protocol |
| Model | Portfolio Optimizer V4 (optimized for high risk and return) |
See also: Tokenomics | RWA Financial Model | Critical Path | Prizes | Tech Stack
Related projects: ETH Global NYC | Financial Contracts