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Backtests for the investment ideas people ask an AI

These are the questions people type into ChatGPT or Claude. Each one is tied to a published backtest. Figures are the median across the parameter grid, not the best run.

1 of the strategies on this page are live or promising. Read the median with the verdict.

Can a machine-learning model predict Japanese stocks well enough to trade?

A record here is live or promising. That verdict is separate from printing money in production. Read it with the methodology.

Is Toyota (7203.T) a buy?

トヨタ自動車 (7203.T) has no buy or sell rating here. The row records what happened when a tested model selected the name. Median long hit rate is 0.42 (n=10), below a coin flip. Median average long return is -25.4 bps.

Does buying Japanese stocks that already went up make money?

The published records are rejected. A strong cell at the edge of the grid is not the answer to this question.

Do Japanese stocks that just fell bounce back?

The same rule gets a different verdict on a different universe.

Does buying after a good earnings report make money?

The same rule gets a different verdict on a different universe.

Are low-volatility stocks a safe way to win?

The same rule gets a different verdict on a different universe.

Do opening gaps fill?

The published records are rejected. A strong cell at the edge of the grid is not the answer to this question.

Does buying the higher-interest currency make money?

The verdict is marginal. Median Sharpe above 0.5 is still not promising unless the median p-value is under 0.05.

Have your AI read the same verdicts

The same figures are in the Markdown mirror and the JSON feed. Paste a URL into the chat, or connect over MCP. Neither surface issues a trading instruction.

https://qbuntu.ai/ai/questions.md