HedgyAI

Please note that this projects is unfinished, I couldn't spend that much time because of my main project, still I find it very interesting and decided to send it anyways. HedgyAI is an intelligent, autonomous portfolio manager, built to function like an institutional-grade agentic hedge fund, yet designed specifically for retail investors. Hedgy leverages institutional grade signals from multiple sources to inform its trading agents, and it also allows anyone to submit their own signals under a reward/penalty system accurate signals are rewarded, while inaccurate ones are penalized. These signals, combined with APIs, social sentiment analysis, and other data sources, are used to train agents that autonomously execute trading strategies on behalf of users. Users don’t need any financial expertise—they only need to enter the amount they want to invest, the time lock, an optional strategy, and their desired return. Based on this input, the agent analyzes the market and makes decisions using quantitative models, offering a minimum guaranteed return. To maintain this guarantee and protect against volatility, withdrawals are capped at 2× the initial investment, even if the strategy yields higher profits. This approach helps stabilize returns and manage risk during unfavorable market conditions. To reduce MEV exposure, transactions are routed through a private mempool, although this feature is still in early development. Users can open multiple positions with different parameters, effectively creating a personalized portfolio. Within the "Agents" tab, users can monitor their agent’s performance and view key decisions made on their behalf. For this hackathon, the system supports three wallets: Ethereum, Bitcoin, and a programmatic wallet that handles both ETH and BTC for trading.

Created four smart contracts integrating 1inch's Limit Order Protocol and Fusion+ for this hackathon

The agentic portfolio manager was built using four smart contracts integrating 1inch’s Limit Order Protocol and Fusion+, deployed on Ethereum and Bitcoin networks. Core components include Fusion+, ElizaOS, Chainlink, and OpenZeppelin. It integrates APIs from CoinGecko, Blocknative Gas, Aave, Messari, and scaffolds TokenMetrics. A full technical analysis engine powers decision-making with indicators like SMA, EMA, RSI, Stochastic RSI, custom MACD, Bollinger Bands, ATR, and OBV. Each asset is evaluated using strategy-specific multipliers and a composite score (0–100) for dynamic portfolio management.

Because a lack of time to invest in the project, I couldn't develop it further, but it is definitely a start, even for managing personal finances.