# Core Features

## Below is an overview of the key system features:

### AI-Driven Order Routing

* Liqui’s AI engine continuously analyzes liquidity conditions, volatility, and historical flows to determine the most efficient execution path.

**How it Works:**

* The AI agent collects data from MegaETH liquidity pools
* Simulates the best route based on slippage and depth
* Sends the decision to smart contracts via the oracle
* The contract executes the trade atomically

### Real-Time Liquidity Mapping

**The AI continuously monitors the state of liquidity across the network:**

* Identifies depth, spread, volatility, and TVL
* Detects fragmentation or anomalies
* Updates the routing map in near real time

**Implementation:**

* AI connects via RPC or WebSocket to MegaETH DEX pools
* Continuously refreshes the internal map
* Sends results or hashed data to on-chain contracts

### Predictive Execution Modeling

**Before any trade is executed, the AI simulates potential outcomes:**

* Assesses slippage risk and fill probability
* Predicts latency and price impact
* Models the effect on subsequent orders

**Implementation:**

* AI is trained on historical data
* Submits a risk-assessed payload before execution
* Contract verifies slippage conditions before committing

### Secure Smart Contract Execution

* Trades can be split and routed across multiple pools
* Slippage and gas limits are enforced
* Execution is atomic - all or nothing

### AI Feedback Loop

After each trade, the AI updates its internal models based on execution results.

* Receives logs (fill success, gas used, price deviation)
* Refines routing and prediction models
* Improves execution efficiency over time