@AzianMike: What happens if you invest $1,000 in the top performing stock from the last month rather than the S&P 500? Apparently y…

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Summary

作者用 AI 代理回测了一个策略：每月买入上月表现最好的股票，自 1998 年以来 1000 美元可增长到 880 万美元，远超标普 500 的 220 万美元（但收益主要来自苹果、英伟达等少数离群股）。整个实验是用 Agents API 构建的。

What happens if you invest $1,000 in the top performing stock from the last month rather than the S&P 500? 🤔 Apparently you'd be up over $6 million compared to the S&P 500. I had an agent backtest a strategy of looking at the past month's top performing stock and dumbly investing $1,000 into it. That strategy, since 1998, generated $8.8 million while the S&P 500 generated $2.2 million. Some caveats: - there's some stocks the agent couldn't pull/find data for - we assume that if we can't find the data (e.g. a buyout) that the stock went to $0 to be conservative - the gains are mainly from a few outliers, like Apple and NVIDIA (if you remove the top outliers, performance gets worse but still beats S&P500) Built with the Agents API!
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Cached at: 10/13/26, 01:47 PM

What happens if you invest $1,000 in the top performing stock from the last month rather than the S&P 500? 🤔

Apparently you’d be up over $6 million compared to the S&P 500.

I had an agent backtest a strategy of looking at the past month’s top performing stock and dumbly investing $1,000 into it. That strategy, since 1998, generated $8.8 million while the S&P 500 generated $2.2 million.

Some caveats:

  • there’s some stocks the agent couldn’t pull/find data for
  • we assume that if we can’t find the data (e.g. a buyout) that the stock went to $0 to be conservative
  • the gains are mainly from a few outliers, like Apple and NVIDIA (if you remove the top outliers, performance gets worse but still beats S&P500)

Built with the Agents API!

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