HALO AI Protocol
A DeFi protocol on BNB Chain featuring a vault where users deposit USDT to earn yields from an AI-powered arbitrage spread capture bot. Providing liquidity on prediction markets by detecting mispricings and capturing bid-ask spreads.
TL;DR
- Deposit USDT into the BNB Chain vault → receive vHALO (vault share tokens)
- AI bot acts as market maker on Opinion and Polymarket
- Detects mispricings using advanced AI, deep learning, and machine learning
- Captures spreads on matched trades
- 20% performance fee on gross profits
- Remaining 80% automatically compounds, increasing vHALO share value
- Earn passive income without active trading or technical expertise
The Arbitrage Opportunity
Binary prediction markets settle to exactly one of two outcomes. In an efficient market:
P_UP + P_DOWN = 1
However, due to market maker spreads and liquidity fragmentation, we frequently observe:
P_UP + P_DOWN < 1
When this condition holds, purchasing both legs guarantees profit at settlement:
Π = 1 - (P_UP + P_DOWN) > 0
Overview
HALO AI is a decentralized finance (DeFi) protocol that enables passive yield generation through intelligent market making in prediction markets.
Core Product: AI-Powered Vault
- Users deposit USDT into the BNB Chain vault
- In return, they receive vHALO (vault share tokens) representing proportional ownership in the liquidity pool
- The protocol deploys pooled funds via an automated AI bot that acts as a market maker on Opinion and Polymarket
- The bot detects mispricings using advanced AI, deep learning, and machine learning
- Places optimized buy/sell orders and captures spreads on matched trades
- Gross profits from spread capture are subject to a 20% performance fee
- Net profits automatically compound in the pool, increasing the value of vHALO shares
This allows users to earn passive income without active trading or technical expertise, while the AI maintains balanced inventory and minimizes risks.
Key Features
AI-Driven Spread Capture
Ensemble models (XGBoost, LSTM, PPO, LLM) analyze 45 features to discover fair value:
- 25 technical indicators
- 4 sentiment signals
- 8 funding rates
- 8 order book depth metrics
Dynamic Optimization
Real-time spread adjustment based on volatility, liquidity, and market conditions via:
- Kelly Criterion for optimal position sizing
- Avellaneda-Stoikov model for market making
Focus Markets
Primarily Opinion and Polymarket, enhancing efficiency in prediction markets.
