What Happens When I Backtest Your Strategies Myself?

[michaeljiangmingfeng-debug]

You should backtest us. Please do.

We encourage users to verify our data with their own code, their own AI, their own tools. Bring ChatGPT. Bring Claude. Bring DeepSeek. Ask them to audit our mechanisms.

Why We Want You to Audit Us

Because if the logic is sound, it'll hold up. And if it doesn't, you deserve to know before you risk your money.

This is the hard part about transparency: you expose yourself to criticism. But that's the point. We'd rather be audited and proven right than have users discover gaps later.

How to Start

1. Pick a strategy (let's say DIP-US)
2. Go to AI Hall — read the full mechanism description
3. Use your own data source (Yahoo Finance, Bloomberg, whatever you have)
4. Implement the logic: "Buy TQQQ when VIX exceeds X threshold"
5. Backtest from 2008 to today
6. Compare your results with ours

Use AI to Help

Feed the mechanism descriptions from our AI Hall to your favorite AI:

• Ask Claude to implement the DIP-US logic independently
• Ask ChatGPT to verify whether offshore RMB correlates with A-share returns
• Ask DeepSeek to check if limit-down frequency is a valid panic gauge

The MCP Way

If you're a developer, you can query live data directly via our MCP Server:

npx quanttogo-mcp

This gives you programmatic access to all signals, positions, and NAV data. Build your own verification pipeline.

Report Findings

If you find discrepancies, open an issue. If you find improvements, open a PR. We take every audit seriously because transparency is not a feature—it's how we operate.