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So first we take a look at some code and then we go and run our trading floor.
因此，我们首先看一些代码，然后运行我们的交易大厅。

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So I wanted to point out that there are a few settings in the EMV file that you can control.
所以我想指出，EMV 文件中有一些您可以控制的设置。

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You need to put these in there to make sure that things work properly.
您需要将它们放在那里以确保一切正常工作。

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Run every N minutes just literally like that.
每 N 分钟运行一次，就像字面上的意思一样。

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Equals 60 will make sure that it that it runs every 60 minutes.
等于 60 将确保它每 60 分钟运行一次。

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Actually if you if you don't include it in your M file it will default to 60.
实际上，如果您不将其包含在 M 文件中，它将默认为 60。

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Anyway, run even when market is closed, is how you can make sure that it doesn't start trading all
无论如何，即使在市场休市时也运行，这样您就可以确保它不会开始全部交易

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night overnight every every hour.
晚上每隔一小时过夜一次。

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And now I currently have this.
现在我已经有了这个。

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True because it is Sunday right now.
确实如此，因为现在是星期日。

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And I want to I want it to be trading and use many models.
我希望它能够进行交易并使用多种模型。

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If it's false, it just uses Gpt4 mini.
如果为 false，则仅使用 Gpt4 mini。

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If it's true, it uses the models that we just saw in the user interface.
如果这是真的，它会使用我们刚刚在用户界面中看到的模型。

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And so obviously I have it as true.
显然我认为这是真的。

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All right.
好的。

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And now I need to show you the class that brings it all together.
现在我需要向您展示将所有这些结合在一起的类。

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That is wonderfully simple and is a fitting conclusion to the other material that we've covered.
这非常简单，并且是我们所讨论的其他材料的恰当结论。

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So we collect the variables that I just mentioned from the env file.
所以我们从 env 文件中收集我刚才提到的变量。

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These are the names of our agents.
这些是我们代理商的名字。

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And then we simply look how short this is.
然后我们简单地看看它有多短。

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We create our traders.
我们创造我们的交易者。

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Uh, so we create a collection of traders for each of these different traders.
呃，所以我们为每个不同的交易者创建了一个交易者集合。

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And then here is the run every n minutes function.
这是每 n 分钟运行一次的函数。

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This is the one that that does everything.
这是一个能做所有事情的人。

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It all happens here.
这一切都发生在这里。

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We start by adding this trace.
我们首先添加此跟踪。

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This is where we register that we want OpenAI agents SDK to record any traces using that log tracer
这是我们注册希望 OpenAI 代理 SDK 使用该日志跟踪器记录任何跟踪的地方

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that I created that I showed you a moment ago.
我刚才向你展示了我创建的。

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We then create our traders as done here.
然后我们像这里一样创建我们的交易者。

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And then there's a nice little whiletrue, uh, thing here.
然后这里有一个美好的小事实，呃，事情。

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So this will keep going forever.
所以这将永远持续下去。

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Um, it will then call async gather, which you remember means that all these async methods will happen
嗯，然后它会调用异步收集，你记得这意味着所有这些异步方法都会发生

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at the same time.
同时。

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Trader run for each of our traders so all four traders will be kicked off at the same time, and async
交易者为我们的每个交易者运行，因此所有四个交易者将同时启动，并且异步

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IO will make sure that they all run as if as if it's multithreaded.
IO 将确保它们都像多线程一样运行。

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But of course, what's going on is that anytime one of them is is locked on, IO is waiting for something
但当然，发生的情况是，只要其中一个被锁定，IO 就会在等待某些东西

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to come back, another one will run that will allow them all to run.
回来后，另一台将运行，这将允许他们全部运行。

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Uh, and uh, at the end of that, it will then sleep for the number of minutes that we specify.
呃，呃，最后，它会休眠我们指定的分钟数。

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And finally there's this if name is main.
最后还有这个，如果名称是主要的。

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And that's where we kick off this whole thing.
这就是我们开始整件事的地方。

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So all that remains now is for me to actually kick this off.
所以现在剩下的就是我真正开始这件事了。

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Let's do it.
我们开始做吧。

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And so the time has come now to launch our trading floor.
现在是时候启动我们的交易大厅了。

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See these agents in action and see in particular this while true loop running.
查看这些代理的运行情况，特别是在真正的循环运行时查看这一点。

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So I'm going to bring up a terminal.
所以我要打开一个终端。

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This is our running user interface.
这是我们正在运行的用户界面。

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I'm going to open a new terminal window to run.
我将打开一个新的终端窗口来运行。

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At the same time, I'm going to change to the sixth directory and I'm going to do you've run Trading
同时，我要切换到第六个目录，我要做你已经运行的Trading

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Floor dot Pi.
地板点 Pi。

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And this is now kicking off our agent process and running our various agents.
现在正在启动我们的代理流程并运行我们的各种代理。

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So it's running for different traders and their researchers.
所以它是为不同的交易者和他们的研究人员运行的。

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And right away you can see I hope that the information in these panels has started flying by.
您马上就会看到，我希望这些面板中的信息已经开始飞速流逝。

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And this of course is our user interface tracking the traces that we have intercepted and written ourselves
这当然是我们的用户界面，跟踪我们自己截获并编写的痕迹

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so that we can be managing the logs.
以便我们可以管理日志。

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It's being stored to a database and and showing here visibly on the user interface.
它被存储到数据库中并在用户界面上可见地显示。

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And it is terrific fun to watch this and see autonomy in action.
观看这一过程并看到自治的实际应用是非常有趣的。

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You'll see the different colors representing things like calling different MCP servers actually using
您将看到不同的颜色代表实际使用的调用不同 MCP 服务器之类的内容

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tools.
工具。

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The red when you see it is when it's actually calling our accounts business logic, our own home grown
当你看到它时的红色是当它实际上调用我们的帐户业务逻辑时，我们自己开发的

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MCP server and that noise, if I don't know if it comes through on this mic, but it just made a notification
MCP 服务器和噪音，如果我不知道它是否通过此麦克风发出，但它只是发出了通知

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noise that one of our four traders of Warren or George or Ray or Cathy just made a trading decision
我们四位交易员沃伦、乔治、雷或凯茜中的一位刚刚做出了交易决定的噪音

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and I got alerted about it, and they will now be off and running.
我收到了有关此事的警报，他们现在将开始运行。

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It typically takes them a few minutes.
他们通常需要几分钟的时间。

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Uh, thanks to the joys of async coding, they can run in parallel like this as they do their thinking.
呃，多亏了异步编码的乐趣，他们可以在思考时像这样并行运行。

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They will go through managing their portfolio, and down below you can see things like their current
他们将管理他们的投资组合，在下面你可以看到他们当前的信息

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holdings and their recent transactions.
持股及其最近的交易。

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So you can keep keep stock on what they're doing.
这样您就可以随时了解他们正在做什么。

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Uh, and uh, yeah, as I say, it's uh, it's it's terrific.
呃，呃，是的，正如我所说，呃，这太棒了。

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Terrific fun to see this.
看到这个真是太有趣了。

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Here we go.
开始了。

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We can just see here.
我们只能在这里看看。

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Sold five AMD shares, retrieving account details and then sold three Qualcomm and bought four Nvidia
出售 5 股 AMD 股票，检索帐户详细信息，然后出售 3 股高通股票并购买 4 股 Nvidia 股票

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shares as Warren.
股票为沃伦.

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Uh, they do tend to love Nvidia.
呃，他们确实喜欢英伟达。

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Uh, so um, which must be something to do with the researcher and some other share activity going on,
呃，嗯，这一定与研究人员和正在进行的其他分享活动有关，

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and an update there to our to the values of the portfolios.
以及我们对投资组合价值的更新。

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Oh, and another text message I just got, which is and another one which is trading going on AMD trade
哦，还有我刚刚收到的另一条短信，这是另一条正在 AMD trade 上进行交易的短信

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apparently.
显然。

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Uh, and yeah, as I say, this is super addictive.
呃，是的，正如我所说，这非常容易上瘾。

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I absolutely love watching this.
我非常喜欢看这个。

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Obviously the learning point here is to really get this very visual, very real, tangible sense of
显然，这里的学习点是真正获得这种非常直观、非常真实、有形的感觉。

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what it's like to have multiple agents working, uh, calling other agents and using a bunch of different
让多个代理工作是什么感觉，呃，呼叫其他代理并使用一堆不同的

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MCP servers to achieve a commercial objective.
MCP服务器实现了商业目标。

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Uh, and being able to use this as a way of inspecting what's going on and understanding the LM activity
呃，能够用它来检查正在发生的事情并了解 LM 活动

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that's happening behind the scenes to allow for this trading activity.
这是在幕后发生的，以允许这种交易活动。

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So hopefully when you run this yourself and get this sense, uh, you'll find it, uh, highly, highly
所以希望当你自己运行这个并得到这种感觉时，呃，你会发现它，呃，高度，高度

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educational and insightful as well as being quite a lot of fun.
具有教育意义和洞察力，而且非常有趣。