WEBVTT

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Trying to keep up with financial markets these

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days, it feels like, well, like trying to drink

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from a fire hose, doesn't it? Totally. There's

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just this constant flood, new reports, earnings

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calls, global data shifts. It's intense. It really

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is. Almost impossible for one person to truly

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stay on top of it all. But what if you could

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change that? What if you could, like, build your

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own team, an army of AI researchers sorting through

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it for you? That kind of capability, that used

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to be just for the biggest Wall Street players,

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right? Exactly. the hedge fund elite so the big

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question we're exploring today is what if you

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could get that same institutional grade investment

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research customized automated delivered right

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to you and here's the kicker without writing

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a single line of code welcome everyone to the

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deep dive great to be here today we're really

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getting into a guide on using perplexity finance

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specifically for automated investment research

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our goal to see how ai isn't just tweaking finance

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it's It's really changing the game for financial

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intelligence. Yeah. And this guide is super practical.

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It's about building your own system, an automated

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research system. We're talking about getting

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proactive, you know, not just reacting. That's

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it. Proactive insight generation. So here's what

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we'll cover. We'll look at perplexity finance's

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main tools, the earnings hub, these automated

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tasks, the smart price alerts. Then we'll talk

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about organizing all the information that starts

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flowing in, setting up powerful morning briefings

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tailored just for you. And even deploying these

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specialized AI interns for your own custom research

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missions. It's pretty cool stuff. The aim is

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to help you get knowledgeable, fast, but also

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deep. Find those aha moments. Cut through the

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overload. Make real sense of the markets. Yeah,

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making sense of it all. That's the challenge.

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You know, historically, getting that deep research

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edge, that was a closed shop. Big Wall Street

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funds, right? Huge teams, expensive tools, coding

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skills, API access. Oh, yeah. It was a fortress.

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Very hard for an individual or even smaller firms

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to compete on that level. But that's where something

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like perplexity finance comes in and really shifts

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the landscape. more than just a website with

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data. It's way more. It's like a full intelligence

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platform. It genuinely makes that professional

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level analysis accessible. That's a big deal.

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And it does this using sort of three key features

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that automate the whole research pipeline. There's

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the earnings hub. Right, your command center

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for earnings season. Then perplexity tasks, which

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lets you set up ongoing automated research. AI

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intern army. Exactly. And then these contextual

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price alerts, which don't just tell you the what,

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but also the why behind a stock move. Let's start

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with the earnings hub. Remember those old clunky

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financial sites like Yahoo Finance back in the

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day? Oh, I remember. Pages loading forever, data

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all over the place. Right. The earnings hub is

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just... leagues beyond that. It puts you right

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in the front row for these crucial market events.

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And it's fast. During earnings season, you can

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track multiple companies reporting at the same

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time. You get live time stamped updates from

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the transcripts as the executives are actually

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speaking. That real time aspect is huge for speed.

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Plus, you get AI summaries pulling out the key

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numbers and takeaways almost instantly. And all

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the official documents are right there. The reports,

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the press releases. One click away. No more hunting

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around different websites. It's all integrated.

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So how does this earnings hub really change things

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for, say, an individual investor? What's the

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core impact? Fundamentally, it gives individuals

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access to real time. institutional grade data

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and tools that were previously just for Wall

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Street pros. Okay. Democratization of data. That

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makes sense. Now let's talk perplexity tasks.

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This feels like where it goes from just searching

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for info to actively generating it for you. Exactly.

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This is the proactive engine. It lets you build

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that army of AI research interns we mentioned.

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Each one focused on a specific ongoing job you

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give it. And setting one up is like. Kind of,

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yeah. You go to the tasks area in Perplexity,

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that's your hiring office, click create new task,

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and you get this simple interface. That's where

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you write the job description for your AI. And

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that job description, the prompt, is everything.

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Absolutely critical. A good prompt is detailed

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and specific. Not just tell me about Apple. No,

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you need to be comprehensive. Like the Cloudflare

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example in the guide. Right, assign it a role.

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Yeah. Act as a senior technology analyst. Then

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list exactly what you want covered. Product roadmap,

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competition, market buzz, key numbers, strategy,

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exact comments. The detail makes it work. And

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then you set the working conditions, the schedule,

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the effort level. Yep. Simple drop -downs, reporting

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cadence, one time. Yeah. Daily, weekly, monthly,

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you choose. And effort level? Basic, search for

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a quick summary. Deep research for a more thorough

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multi -source dive. And you can even tell it

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where to look. That's the library access, web

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search, academic papers, social media feeds,

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even specific SEC filings like 10 -Ks or Form

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4s for insider trades. Super powerful for tailoring

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the research. So you can build these incredibly

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specialized agents just by tweaking these settings.

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Wow. I mean, just imagine scaling this. You could

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have dozens, maybe hundreds of these AI interns,

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each digging into a different niche, a different

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company, running 247 for you. Two sec silence.

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That's... that's... Pretty mind -blowing. It

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really is. And then there's the next level, the

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delta report. After an intern runs a few times,

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you tweak the prompt. Add something like, focus

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only on what's new since your last report. Ah,

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so it avoids repeating old information. Exactly.

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It delivers just the changes, the delta. Much

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more efficient. Now, I'll admit, I still wrestle

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with prompt drifts sometimes myself. Getting

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the AI to consistently nail the exact nuance

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you want takes practice. But man, when it clicks...

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It's amazing. So why is getting that prompt right

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so vital for these AI tasks? Because a precise

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prompt ensures the AI delivers focused, relevant

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research, not just generic data. It's like a

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clear job description. Okay, so you build this

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amazing AI research team, but then you potentially

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create a new problem, right? Information overload,

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but this time it's high quality overload. Yeah,

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it's a good problem to have, but still a problem.

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A firehose of great reports into your main inbox

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is chaos. The goal isn't just automation. It's

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calm, organized insight. So step one is getting

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organized. Labels, folders. Think like an intelligence

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agency. Don't just dump everything in one perplexity

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folder. Create specific labels in your email.

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AI Research Daily Market Brief, AI Research NVIDIA

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Competitor Watch, maybe AI Research Critical

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Alerts. like dedicated filing cabinets makes

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sense then step two automated sorting with filters

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yep In Gmail or whatever you use, set up filters

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for each task. The filter looks for emails from

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Perplexity's address email protected and a unique

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subject line you set up in the task itself. Like

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weekly briefing, Cloudflare net. Exactly. So

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the filter says if email is from Perplexity and

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D subject contains weekly briefing, Cloudflare

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net, then automatically skip the inbox, apply

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the label AI research weekly competitor watch,

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and maybe even mark it as read. Boom. Inbox zero

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for research emails. So everything gets filed

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away neatly. Then you use the scan and dive work.

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Right. It's a two -step process for efficiency.

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Level one, the 60 -second scan. Just glance at

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your email sidebar. See which labels are bold,

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meaning new unread reports. Ah, new portfolio

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review, two competitor reports, high -level awareness,

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zero emails opened. And level two is the deep

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dive. If something in a label name or maybe the

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email summary catches your eye like a big product

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launch mentioned, the email has a direct link.

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Click it, and you're instantly in the full interactive

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perplexity report. Ah, so you can ask follow

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-up questions, check sources. Exactly. Speed

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of scanning, depth when you need it. And there's

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an even more advanced setup, this action -oriented

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inbox. Yeah, this connects critical alerts to

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automation tools, like N8n or Zapier. Imagine

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a filter for critical. Price alert 9 is 10 %

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on NVIDIA. It applies a bright red label and

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forwards the email to a webhook. A webhook being

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like a digital messenger. Right. That webhook

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triggers an action, maybe an instant notification

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on your phone via Telegram or an alert in a specific

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Slack channel. It turns your email from a passive

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archive into an active real -time alert system

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for things you really need to see immediately.

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So what's the single biggest win from automating

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the email organization side of this? It stops

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you from drowning in data. It ensures you only

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focus on what's new and truly relevant right

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now. mid -roll sponsor Reed provided separately.

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You know, there's often a difference in how amateur

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and professional investors start their day. Amateurs

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might just reactively scroll through news feeds.

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Yeah, getting pulled in a million directions.

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Whereas pros often start with a structured intelligence

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briefing. This system essentially lets you build

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that professional grade briefing automatically.

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It's like having analysts working for you overnight.

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It really is. The core idea is to set up three

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specialized interns for your daily briefing.

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First, the corporate actions intern. This one

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focuses on official SEC filings, Form 4s for

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insider buy -sells, 8Ks for major events, 10Ks,

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10Qs for financials. So straight from the source,

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cutting out the media spin. Exactly. Price -sensitive

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stuff. Earnings, M &A, insider moves, dividends.

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It's your ground truth. Okay, that's intern one.

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What's number two? Number two is your domestic

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weather report. This AI monitors the U .S. economic

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calendar, Fed days, inflation numbers like CPI

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and PPI, jobs reports, GDP. The stuff that moves

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the whole market. Right. And the key is to aft

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the prompt for expected versus prior values because

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markets react to the surprise, the deviation

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from expectations, not just the number itself.

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Got it. And the third briefing agent. That's

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the Global Chessboard Overview. In today's world,

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you can't just look domestically. A central bank

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move in Europe, manufacturing data from China.

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It all matters. So this provides the bigger picture.

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Yeah. Global macro data, PMIs, those are manufacturing

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surveys, geopolitical events. It gives you that

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wider context, essential if you're managing different

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types of assets. And then you can layer on top

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of these a kind of master agent, the chief investment

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strategist. That's the pro move. This AI takes

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the output from those three daily briefings and

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synthesizes it. Its job is to produce a single

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paragraph, an executive summary for the day.

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Identifying the single most important theme.

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Exactly. What's the biggest thing happening today

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and why does it matter for your strategy? It

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turns all that data into focused insight. Okay,

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so we've got the briefings covered. Now let's

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talk about the mission menu. Using these AI interns

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for more specific... targeted research tasks.

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Right. Beyond the daily updates, let's hit a

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few cool examples. You could deploy a tech trend

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scout. Say you're interested in AI chips. This

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intern tracks everything about maybe, AMD's MI400

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series product news, supply chain whispers, expert

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commentary, market sentiment. It condenses hours

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of research into a quick read. Huge efficiency

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gain. What else? How about a private equity analyst?

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Private markets are notoriously opaque, right?

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Hard to get info on startups. Definitely. An

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AI intern can constantly scan for news, leadership

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changes, product updates on a private company

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like, say, Replit. It surfaces insights you just

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wouldn't find easily otherwise. That's powerful

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for investors in that space. And I liked this

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one, the social trend identifier. Yeah, this

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is fun. This agent monitors platforms like TikTok,

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X, Reddit for emerging consumer trends before

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they hit the mainstream financial news. Think.

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Spotting the next hot running shoe brand weeks

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before the company reports blowout earnings.

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Catching trends early. Exactly. Finding the smoke

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signals before Wall Street sees the fire. So

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big picture, how do these kinds of advanced AI

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missions really give investors an edge? They

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deliver early, often multi -source insights on

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specific niches, helping you spot opportunities

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or risks before the wider market catches on.

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Okay, let's shift gears slightly. Let's talk

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price alerts. The standard ones, they can be

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kind of anxiety -inducing, can't they? NVIDIA,

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down 5%. Panic. Right. It's just noise without

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context. It tells you what happened, but not

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why, forcing you to scramble and figure it out.

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Is it company news? Sector news? Market crash?

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So Perplexity's price alerts aim to fix that.

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That's the core idea. An alert without context

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is just noise. Their system lets you set triggers,

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percentage moves, price levels, volatility spikes,

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maybe even technical indicators like RSI crossing

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a threshold. But the key is what happens when

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it triggers. Exactly. It doesn't just send the

00:12:32.129 --> 00:12:34.509
number. Using the Micron example from the guide,

00:12:34.649 --> 00:12:38.090
stock drops 8%. Instead of just ang at 8%, you

00:12:38.090 --> 00:12:39.990
get a mini intelligence briefing. What's in the

00:12:39.990 --> 00:12:42.769
briefing? Core price data, sure. But also sector

00:12:42.769 --> 00:12:45.210
context is the whole chip sector down. Technical

00:12:45.210 --> 00:12:48.269
analysis snapshot, sentiment analysis from social

00:12:48.269 --> 00:12:51.330
media, and crucially, an AI -generated attempt

00:12:51.330 --> 00:12:54.830
at the why. Maybe a competitor reported bad earnings.

00:12:54.889 --> 00:12:57.590
Maybe new regulations were announced. Ah, so

00:12:57.590 --> 00:13:01.090
it turns that potential panic into, okay, let's

00:13:01.090 --> 00:13:03.750
assess this calmly. Precisely. Informed decision

00:13:03.750 --> 00:13:06.289
-making, not just gut reaction. And you can even

00:13:06.289 --> 00:13:08.470
set alerts based purely on sentiment shifts.

00:13:08.809 --> 00:13:10.850
Yeah, that's another cool feature. Monitor social

00:13:10.850 --> 00:13:13.730
media buzz for a stock. If sentiment suddenly

00:13:13.730 --> 00:13:16.529
turns sharply negative or positive, get an alert

00:13:16.529 --> 00:13:18.960
before the price necessarily moves. It can be

00:13:18.960 --> 00:13:21.279
a leading indicator. Looking forward, what's

00:13:21.279 --> 00:13:23.519
coming next in this space? Where is research

00:13:23.519 --> 00:13:26.039
automation heading? Well, the tools are already

00:13:26.039 --> 00:13:28.419
powerful, but they're evolving fast. We're likely

00:13:28.419 --> 00:13:30.419
going to see things like proper webhook integration.

00:13:30.679 --> 00:13:33.799
Meaning the AI's output can directly feed into

00:13:33.799 --> 00:13:36.980
other software. Databases, custom dashboards.

00:13:37.120 --> 00:13:40.440
Exactly. Structured data output, like JSON. That

00:13:40.440 --> 00:13:44.000
unlocks way more complex workflows. Also, expect

00:13:44.000 --> 00:13:47.279
true memory and context awareness. Future agents

00:13:47.279 --> 00:13:49.940
won't just repeat info. They'll learn your interests,

00:13:50.179 --> 00:13:53.000
remember past reports, and focus on the delta,

00:13:53.120 --> 00:13:55.720
what's new. And more crypto intelligence. Yeah,

00:13:55.799 --> 00:13:58.100
the Coinbase partnership points that way. Deeper

00:13:58.100 --> 00:14:00.019
insights, maybe even on -chain analysis down

00:14:00.019 --> 00:14:02.059
the road. Okay, that's a lot. For someone listening

00:14:02.059 --> 00:14:03.980
wanting to get started, what's the practical

00:14:03.980 --> 00:14:07.710
approach? Key advice. Start small. Don't try

00:14:07.710 --> 00:14:09.690
to automate everything overnight. Pick one or

00:14:09.690 --> 00:14:12.309
two areas. Maybe track one stock you own closely

00:14:12.309 --> 00:14:15.149
and one key competitor. Test things out. Yeah.

00:14:15.230 --> 00:14:16.950
Experiment with the reporting frequency daily,

00:14:17.049 --> 00:14:19.470
weekly. See what feels right. Play with the prompt

00:14:19.470 --> 00:14:21.809
detail. And critically, set up your email labels

00:14:21.809 --> 00:14:24.309
and filters before you unleash a dozen AI interns.

00:14:24.690 --> 00:14:27.649
Get organized first. Good tip. And any advice

00:14:27.649 --> 00:14:30.269
on optimizing the research itself and managing

00:14:30.269 --> 00:14:33.850
risks? Be specific in your prompts. Use tickers.

00:14:34.250 --> 00:14:36.809
Exact product names. Don't just ask for summaries.

00:14:36.809 --> 00:14:40.129
Ask for actionable insights. Add phrases like

00:14:40.129 --> 00:14:43.110
analyze the potential impact. And the biggest

00:14:43.110 --> 00:14:45.830
one, maintain critical thinking. Don't blindly

00:14:45.830 --> 00:14:49.269
trust the AI. Never. These reports are amazing

00:14:49.269 --> 00:14:52.860
starting points, powerful assistance. but they're

00:14:52.860 --> 00:14:55.500
not a substitute for your own judgment. Always

00:14:55.500 --> 00:14:57.659
verify important stuff from multiple sources

00:14:57.659 --> 00:15:00.460
before making any actual investment decisions.

00:15:00.799 --> 00:15:02.899
So boiling it all down, what's the most crucial

00:15:02.899 --> 00:15:05.000
takeaway for someone wanting to use these AI

00:15:05.000 --> 00:15:07.759
tools? Start small, get organized early, and

00:15:07.759 --> 00:15:10.320
always, always apply your own critical human

00:15:10.320 --> 00:15:13.320
judgment to the output. The AI assists, you decide.

00:15:13.539 --> 00:15:15.299
Which brings us to the really big idea here,

00:15:15.399 --> 00:15:18.159
doesn't it? Tools like perplexity finance signal

00:15:18.159 --> 00:15:20.720
a fundamental permanent shift. It really feels

00:15:20.720 --> 00:15:22.830
like that. It's like... You know, in video games,

00:15:22.909 --> 00:15:25.610
there's that super powerful weapon only the final

00:15:25.610 --> 00:15:27.950
boss has. It's like that weapon suddenly became

00:15:27.950 --> 00:15:30.549
available to every single new player starting

00:15:30.549 --> 00:15:32.750
the game. It just changes everything. The kind

00:15:32.750 --> 00:15:35.649
of automated deep research that was locked away

00:15:35.649 --> 00:15:38.409
in billion dollar hedge funds. Is now accessible

00:15:38.409 --> 00:15:42.289
to individual investors, small advisory firms,

00:15:42.490 --> 00:15:45.649
family offices, pretty much anyone. It's a genuine

00:15:45.649 --> 00:15:48.190
democratization of financial intelligence. Absolutely.

00:15:48.620 --> 00:15:50.539
And that creates huge new opportunities if you're

00:15:50.539 --> 00:15:53.250
willing to learn and adapt. So we definitely

00:15:53.250 --> 00:15:55.850
encourage you listening to explore perplexity

00:15:55.850 --> 00:15:58.070
finance. Try out some of these automation strategies.

00:15:58.210 --> 00:16:01.450
Maybe start with just one small focused area.

00:16:01.710 --> 00:16:04.210
Remember that scan and dive workflow for managing

00:16:04.210 --> 00:16:06.730
the info and keep that critical thinking hat

00:16:06.730 --> 00:16:09.450
on firmly. These tools amplify intelligence.

00:16:09.850 --> 00:16:12.350
They don't create it out of thin air. The future

00:16:12.350 --> 00:16:14.269
of investment research is clearly being automated.

00:16:14.490 --> 00:16:16.549
It's becoming more accessible, more powerful

00:16:16.549 --> 00:16:18.649
than ever. Really, the only question left is

00:16:18.649 --> 00:16:20.850
how quickly you'll adapt. to harness these new

00:16:20.850 --> 00:16:22.889
capabilities. Outuro music.
