Shadowing Practice: Inside Bracket22, A Trading Firm Powered By Al Agents - Learn English Speaking with Video
Creating lesson...
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Hey, Houston, show me the charts from the work that Desmond did this weekend, the strategies we tested.
2
OK, so here's the charts.
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He just pulled them up.
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Let's take a look at a couple of these.
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AI has completely changed what my office looks like.
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When I was running the crypto fund, I had about seven or eight employees there every single day.
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We had offices around the world.
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We had people in Hong Kong.
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We had people in California.
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And we ran an operation that ran 24-7.
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I closed the hedge fund about 16, 16, 18 months ago and decided to take some time off from there.
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And in about November of 2025, when Opus, I think it was Opus 4.6 came out with Claude, that's when I started to really heavily use AI.
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And it was really at first just to, I would take a chart, copy and paste it into AI and say, hey, read this chart and give me a technical analysis on it.
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Now that I've closed the fund, I basically replicated the staff that I had at the fund with AI agents.
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And so now AI agents monitor everything for me 24 hours a day.
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Let's meet the employees now, or my AI bots.
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Okay, so we start here, we've got Houston.
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He's mission control.
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He's in charge of everything.
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He talks to all these bots.
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All these bots come back and talk to him.
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He can do everything from research to running the firm.
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We've got Ducey, who's next on the list.
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He's in charge of the red team.
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Once we've done all the research, we say attack this entire thesis.
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See if you can break it.
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Then down here, we have Steffi, Steffi Gratt.
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She's the technical analyst.
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She'll mark up charts for us.
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They used to have about seven or eight employees all around the world.
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A lot of them were based in New York pre-COVID.
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And between their salaries and compute and healthcare and everything like that, My payroll is well into the millions of dollars per year.
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I mean, these are highly talented people and they deserved every penny that they got.
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Now, when I'm using AI, I run somewhere around 30 to $40,000 a year total.
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And that's with every AI agent.
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That's with all my compute.
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That's with everything I need to completely replicate a hedge fund completely with AI.
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I would estimate I'm at least 10 times more productive with my AI agents.
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So now if you take a staff of 100, you've got a staff of 1,000.
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So it's not necessarily just, hey, you can replace everybody with AI agents.
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you can make your existing employees at least 10 times, maybe more, more productive.
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Thanks for that, Houston.
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File that away so everybody can see those things.
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Hey, Steffi, are there any other interesting patterns on this chart that I need to know about?
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So here's the corporate brain.
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Each one of these nodes, each one of these dots is a piece of information that's come into the firm, whether it be research, every trade we've done, every email that comes in.
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It's connected to everything else in the firm, almost like neurons.
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The best thing about working with AI agents or AI bots is
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that I can ask them a question any time of the day.
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If it's 3 o'clock in the morning and I wake up and have an idea or have a thought, I can just ping them and say, hey, check this out.
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I don't have to worry about waking somebody up in the middle of the night, which I may or may not have done in the past.
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So I think the future of Wall Street looks something like this.
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And I've talked to people that are working at big hedge funds now, and they're doing something like this.
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They're all doing their own version of using an AI agent.
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What I think Wall Street looks like is one single hedge fund manager working with maybe one
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or two people under them and then working with a swarm of agents under
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that but my job as the human being is to be one step ahead of it on creativity
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so far ai agents haven't been able to do that
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so they're much more of a tool in the whole process rather than a replacement of it
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but you know what maybe someday it that happens and um you know
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Old BK will just have to be at the beach.
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Vocabulary and speaking notes for this lesson
This B2 speaking lesson is built on the video “Inside Bracket22, A Trading Firm Powered By Al Agents”. The speaker keeps coming back to these words: agent, fund, chart, bots, hedge. This video has 61 sentences and 747 words to shadow. The speech runs for 3:55. The speaker talks fast, about 191 words per minute, so expect linked and reduced sounds. 84% of the words are among the 3,000 most common in English; the rest is worth studying before you start.
Key vocabulary in this video
The 15 most advanced words in the video, with pronunciation and meaning:
| Word | Pronunciation | Meaning |
|---|---|---|
| hedge noun | /ˈhɛd͡ʒ/ | A thicket of bushes or other shrubbery, especially one planted as a fence between two portions of land, or to separate the parts of a garden. |
| bot noun | /bɑt/ | A physical robot. |
| compute verb | /kəmˈpjuːt/ | To reckon, calculate. |
| replicate verb | /ˈɹɛplɪkeɪt/ | To make a copy (replica) of. |
| neuron noun | /ˈn(j)ʊɹɑn/ | A cell of the nervous system, which conducts nerve impulses; consisting of an axon and several dendrites. Neurons are connected by synapses. |
| crypto noun | /ˈkɹɪptoʊ/ | A secret supporter or follower. |
| ping verb | /pɪŋ/ | To make a high-pitched, short and somewhat sharp sound. |
| payroll noun | /ˈpeɪˌɹəʊl/ | A list of employees who receive salary or wages, together with the amounts due to each. |
| node noun | /noʊd/ | A knot, knob, protuberance or swelling. |
| pasta noun | /ˈpɑ.stə/ | Dough made from wheat and water and sometimes mixed with egg and formed into various shapes; often sold in dried form and typically boiled for eating. |
| creativity noun | /kri.eɪˈtɪv.ᵻ.ti/ | The ability to use imagination to produce a novel idea or product. |
| analyst noun | /ˈænəlɪst/ | Someone who analyzes. |
| thesis noun | /ˈθisɪs/ | A proposition or statement supported by arguments. |
| someday adverb | Sometime; at some unspecified time in the future. | |
| dot noun | /dɑt/ | A small, round spot. |
Phrasal verbs you will hear
| Word | Pronunciation | Meaning |
|---|---|---|
| come back verb | To return to a place. | |
| come out with verb | To say (something) unexpectedly. | |
| wake up verb | /ˌweɪk ˈʌp/ | To stop sleeping; to awake. |
Sentences worth repeating
Short, complete lines from the video that you can reuse in everyday conversation:
- Let's take a look at a couple of these.
- She'll mark up charts for us.
- That's with all my compute.
Pronunciation to watch
The speaker uses 15 contractions and reduced forms, such as we've, they're, I'm. Say them the short way, as you hear them.
How to practise with this video
- Listen to the whole video once without speaking and note the words you do not know.
- Start at 0.75× speed, shadow it sentence by sentence, then go back to normal speed once it feels easy.
- Record yourself and compare with the original, paying attention to words like hedge, bot, compute.
What is the Shadowing Technique?
Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.