BanZhuan.AI Tutorial (v0.1)

Introduction

BanZhuan.AI helps you build AI-native quant strategies on Perpetual Futures and Prediction Markets. This tutorial walks through the core workflow on Hyperliquid, from connecting your wallet to deploying live trading sessions.

Getting Started

To begin, connect your wallet. Then, click "Build Strategies" to enter the no-code strategy building platform.

Building Strategies

The strategy builder is a no-code platform where you can drag and drop to build systematic strategies. For example, you can manually build a crossover strategy for BTC-USD by placing the appropriate blocks on the canvas.

Alternatively, you can use the AI Chatbox to vibe-build a strategy. For example, prompt: "Research a momentum strategy for BTC-USD, build it and backtest it." The AI will digest your input, start a research pipeline to find the most risk-rewarding factors, and drag-and-drop the blocks for you. The AI will also perform a quick backtest to generate metrics for the strategy.

Backtesting and Strategy Insights

Once your strategy is built, you may save it for future edits. To continue editing, you can manually adjust the parameters or vibe the changes you wish to make through the AI Chatbox.

Click the "Run Backtest" button to re-run a backtest. The system will also generate a Strategy Insight to help you understand the strategy, its limitations, and suggest improvements. If there are actionable improvements, you can click the "Accept" button and the AI will help you make the changes automatically.

Publishing to Blockchain

Once you are satisfied with your strategy, click the "Publish" button to publish it and register it on the StrategyRegistry contract on Arbitrum.

Non-Custodial Agentic Trading

BanZhuan.AI supports non-custodial agentic trading on Hyperliquid. You can click a button to deploy one or more SessionAccount smart contracts on HyperEVM and manage your funds there.

You can then deploy a new session to run your strategies. Go to the Sessions page to view agent activity details for live or stopped sessions.

Community-Driven AI Learning

Our AI learns from the community. It gathers insights from users' live trades and strategies, and uses that knowledge to help you build better ones.