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Details of US stock model operations in the first half of 2026: 95 transactions, traceable individually

Details of US stock model operations in the first half of 2026: 95 transactions, traceable individually

左兜进右兜左兜进右兜2026/07/09 09:44
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By:左兜进右兜
Hello everyone, this is You Dou.

As usual, every six months I provide a summary of the model trading logs.

In the first half of 2026, the model account net value +36.93%;maximum drawdown −11.68%.

In a report card, drawdowns provide more insight into a model than returns, as they show whether it helps you survive in the market.

Since March this year, I've posted all trading details into the independent website's [Trading Archive] section. Every buy and sell time, price, and profit or loss—all made public.

Including the losing trades.

The market never lacks people showing off their profits.

For the first half of the year 95 trades, covering 60 different assets, win rate 82%.

First Half-Year Data (as of June 30)

  • Net value return: +36.93% (compounded, not a simple sum of trades)
  • Maximum drawdown: −11.68%
  • S&P 500 (SPY) over the same period: +9.51%
  • Closed positions  95 times , covering  60 different assets
  • Win rate: 82%
    Details of US stock model operations in the first half of 2026: 95 transactions, traceable individually image 0

Who is the Model Trading System Suitable For?

Investors who treat their accounts as long-term funds, follow fund risk-control and position style, and add their own subjective judgment.

This is limit order trading. Suitable for investors who don't have time to stare at the screen all day.

Every day before the market opens, you set your buy and sell orders according to the model signals, then go about your work or sleep as you need. Leave execution to the market. Out of 95 closed trades in the first half of the year, the vast majority were filled via automatic limit orders.

No need to watch the screen all day, or check your phone during meetings. The system executes for you—your life remains your own.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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