WEBVTT

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Can a machine, an AI, really find those hidden

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patterns in financial markets? You know, the

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ones humans might miss and all that noise. Yeah,

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it's the big question, isn't it? Is it a really

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tool or just hype? Or just fantasy. Yeah. Well,

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we decided to look into a source that put that

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idea to a pretty tough test. A head -to -head

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showdown. Welcome to the Deep Dive. Today, we

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are digging into a really fascinating experiment.

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It's all about AI analyzing trading charts, crypto,

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stocks, Forex, the works. Yep. Our sources detail

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this big test pitting seven major AI models against

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each other. Pretty cool setup. And our mission

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here is to figure out which AI, if any, can actually

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be that reliable sidekick, that co -pilot for

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traders. And crucially, how you can potentially

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use what they found. We're going to walk through

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the whole thing. Exactly. The experiment itself,

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some... Surprising failures. Oh, yeah. There

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were definitely failures. The clear winners,

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and then we'll break down a step -by -step guide

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based on those findings. Sounds good. Let's jump

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in. So, you know, for ages, traders have been

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looking for that edge. Right. And for a long

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time, technical analysis has been a key part

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of that, staring at charts. Mm -hmm. Patience.

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A trained eye. Spotting things like a cup -and

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-handle pattern. Which looks just like it sounds.

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Signaling maybe a move higher. Right. Or a head

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and shoulders, maybe an inverse one suggesting

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a bottom. Or a bullish pennant, another sign

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of continuation. It's about reading the psychology

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and the price action. It's definitely an art

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form. Takes time. Takes skill. And that's where

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AI comes in with this incredible promise. Imagine

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something scanning thousands of charts, super

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fast, super precise. Working 2047, no emotions

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getting in the way. Exactly. And maybe costing

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less than your streaming service. It sounds amazing.

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But the reality has often been frustration. People

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just uploading a chart and asking, OK, AI, what

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happens next? Yeah, hoping for magic. And that's

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what this experiment really zeroed in on. Right.

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A serious test. Seven top AI models. Same chart,

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same task. Find a classic pattern, give a specific

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price target. And the first results, honestly,

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kind of shocking. Most of them just failed. Yeah,

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spectacularly. Hallucinating patterns, getting

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data wrong. It wasn't just unhelpful. It was

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potentially dangerous advice. Seriously misleading

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stuff. So boiling it down, what was that core

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promise of AI for trading that this experiment

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was really putting under the microscope? Basically.

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A tireless, emotionless co -pilot finding those

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market edges super fast. OK, so finding that

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reliable co -pilot needed a fair test. Consistent,

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repeatable. Definitely. And the goal wasn't really

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about predicting the future, right? Nobody can

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do that consistently. No, it was more fundamental.

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Can the AI even do the basic job of a human analyst,

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spotting and measuring a known pattern accurately?

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So the battlefield, as they called it. They chose

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a daily Bitcoin chart, BTCUSD. Why Bitcoin specifically?

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Well, a few good reasons. It's super visible,

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lots of eyes on it, so there's generally some

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agreement among human analysts on the big patterns.

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Good for comparison. Plus, it's volatile. That

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tends to create these big, clear patterns, easier

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to analyze visually. And the data is easy to

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get, I assume. Exactly. Historical data is readily

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available, crucial for the test setup. And each

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AI got two key things, right? The chart image?

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Yep. A clean, high -res screenshot, no clutter.

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And the raw data. Critically, yes. A CSV file

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with the daily open, high, low, close, volume,

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grounding the visual and actual numbers. Very

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important. Smart. Stops it from just guessing

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based on the picture. Precisely. And the contestants.

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Quite the mix. From the pricey stuff to free

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versions. Like it. Okay, so you had ChatGPT -03

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Pro. That's the $200 a month beast. Then ChatGPT

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-03, the $20 plus version, kind of the popular

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choice. The one many people use. Right. And the

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free one, ChatGPT -40. Also, Cloud Opus 4, Perplexity,

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that AI research tool. DeepSeek R1, which is

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open source. And Google's Gemini 2 .5 Pro. A

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real spectrum. And the challenge was the same

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for all of them. Identical instruction. Absolutely

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identical. Upload the image, upload the CSV,

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then find significant classic patterns, give

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specific price levels and dates for it, calculate

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a realistic target using standard rules. And

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show your work, basically. Exactly. Draw the

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pattern on the chart image and explain your reasoning.

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Clear, step by step. No wiggle room. So just

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to recap that key decision, why was Bitcoin chosen

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as the test case? Because it offered clear patterns

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and broad analyst agreement for a solid comparison.

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Got it. Okay, before we get to the winners, we

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really need to talk about the failures. Because

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understanding why they failed is, well, super

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important for anyone thinking of using these

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tools. Oh, absolutely. Knowing the pitfalls is

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half the battle. Let's start with the free chat

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GPT, the 4 .0 model. What happened there? It

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was like... An overly eager but completely untrained

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intern. That's how the source put it. It tried

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to find a cup and handle. OK. But it basically

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just drew lines on random noise. The cup wasn't

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real. The handle wasn't there. The price target

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was based on nothing. Like finding shapes and

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clouds, you said. Exactly. Finding faces and

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clouds. The big takeaway. Free general AI just

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isn't precise enough for this kind of financial

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work. You can't trust his answers. OK, so free

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is out for serious stuff. Right. What about Claude

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Opus 4? That one's pretty powerful. for it yeah

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known for handling lots of info but a big letdown

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here it said it found a descending triangle okay

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fine okay but the visualization it spat out this

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jumbled mess of ascii art like asterisks and

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slashes trying to make a picture completely unreadable

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so you couldn't even see what it claimed to find

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nope and if you can't see the pattern clearly

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the analysis is basically useless, right? It's

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just words. True. Need that visual confirmation.

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What about perplexity? Perplexity was interesting.

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It gave a nice chart image back. But the analysis,

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pure market commentary. Meaning? Stuff like post

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all -time high consolidation. Well, yeah, thanks.

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We can see that. But no actual trading pattern,

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no entry points, no targets, nothing actionable

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for a trader. So more like a news summary than

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analysis. Exactly. A research assistant, not

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a technical analyst, describes the past, doesn't

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help with future moves based on patterns. And

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then DeepSeek and Gemini, what went wrong there?

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Ah, the hallucination machines. This was maybe

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the scariest failure mode. They both confidently

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identified patterns, but got critical details

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totally wrong. DeepSeek found a double top, but

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the peaks it used were way too close together.

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Invalid pattern. Okay. Gemini claimed a symmetrical

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triangle, but the chart it drew looked nothing

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like the actual price data it was supposedly

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analyzing. A complete visual disconnect. Wow.

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So they just made stuff up confidently. That's

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the danger. High confidence, zero connection

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to reality. That's pure AI hallucination. And

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if you trade based on that, ouch, fastest way

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to lose money. It's like asking for directions

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and being told to turn left at the invisible

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unicorn. Perfect analogy. You just can't act

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on it. You know, honestly, I still wrestle with

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prompt drift myself sometimes when I'm trying

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new things with AI. What's prompt drift again?

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It's when the AI's output changes slightly over

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time. Even if you give it the exact same instructions,

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it just drifts. It really reminds you how incredibly

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precise you have to be with your prompts to get

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consistently good results. Yeah, that precision

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seems key. Yeah. So the common thread in these

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failures was. It seems to be this inability to

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properly combine visual pattern recognition with

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the strict mathematical precision and the rule

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-based logic needed for technical analysis. They

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couldn't bridge that gap reliably. So pulling

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that together, what's the most dangerous failure

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mode we saw with these AIs? Definitely those

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confident hallucinations that are just completely

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disconnected from the real data. Okay. So after

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wading through all those disappointments. The

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misleading answers, the hallucinations. Two models

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actually came through. They delivered. Yeah,

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finally, some good news. And the results were

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pretty interesting. The undisputed champion,

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ChatGPT -03 Pro, the expensive one. The $200

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a month one. How did it do? Flawlessly. Seriously,

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like a seasoned pro analyst, a chartered market

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technician, as the source described it. Wow.

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What did it find? It nailed a classic cup and

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handle on that Bitcoin chart, provided the exact

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price levels, the dates defining the pattern,

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showed it really processed the data. And the

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target. Calculated it perfectly using the textbook

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method. Yeah. Measured the cup depth, projected

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it up, came out to $149 ,000. And the visual.

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Spot on. Drew the pattern right on the chart,

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exactly where a human would, looked perfect.

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Any downsides? Well, the cost, obviously. $200

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a month is steep. And it was kind of slow, took

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over four minutes. But the quality was undeniable.

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Okay, so the expensive one worked great. Maybe

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not that surprising. You pay more, you expect

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more. Was that the real story here? Ah, but here's

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the twist. The real aha moment, the value champion,

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was ChatGPT03. The plus version. The $20 one.

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Wait, really? How close was it? Almost identical.

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We ran the exact same test. It also correctly

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identified the cup and handle. Its target calculation

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was $155 ,000. Super close. Using the same correct

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method. Wow. And get this. It was way faster.

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Did the whole analysis in about half the time

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of the pro version. So 90 % cheaper, almost the

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same result, and faster. Exactly. That's the

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sweet spot. For most people training crypto,

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stocks, forex. This $20 version hit that perfect

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balance of accuracy, speed, and cost. That was

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the truly astounding part. That is surprising.

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So what was the biggest surprise then from the

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winner's circle? That the affordable ChatGPT

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Plus delivered nearly identical high -quality

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results to the super expensive Pro version. Incredible.

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Okay, let's pause for a quick word from our sponsor,

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mid -roll sponsor, Reed. Welcome back to the

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Deep Dive. So we've seen the failures. We've

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seen the surprising winner. Now let's get practical.

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Based on all this testing, there's a clear step

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-by -step blueprint you can follow to get reliable

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results using that winning AI model. Yep. This

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is the formula distilled from weeks of testing

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designed for reliability. Think of it like building

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with Lego blocks. Follow the steps. Get a solid

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structure. Okay, step one. Get the right tool.

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Simple. ChatGPT Plus, the $20 version. It's the

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clear winner. Don't bother with the free one.

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Not for this. It's just not reliable. And the

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pro version. Overkill for most. Stick with plus.

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This is honestly the single most important choice.

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Don't skimp here. Got it. Step two. Prepare your

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chart image. Garbage in, garbage out, right?

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Needs to be super clean. Meaning no indicators,

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no lines already drawn on it. Exactly. Use the

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hide drawings feature in your platform, like

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trading view. Make sure the axes are clearly

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labeled, time on the bottom, price on the side,

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high resolution screenshot. And context. Crucial.

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Make sure the asset name, like Bitcoin or Apple,

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and time frame, like daily or four hour, are

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clearly visible on the image. Okay, clean chart

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image. Step three. Get the raw price data. This

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is the secret weapon against hallucinations.

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Give the AI the actual numbers open, high, low,

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close, volume, along with the picture. It forces

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it to connect the visual to the math. Precisely.

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You can usually export this as a CSV file. Paid

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platforms like TradingView make it easy. Free

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options. Yep. Sites like CoinCodex for crypto,

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Yahoo Finance for stocks, just need that raw

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daily or hourly data. Okay, image and data ready.

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Step four. Crafting your prompt. This is your

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instruction manual for the AI. Two main options

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worked really well. Option A. The comprehensive

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prompt. Plus, this is for detailed analysis.

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You basically tell it. Act as an expert technical

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analyst. Look for these classic patterns. Give

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me exact price levels and dates. Calculate a

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target and explain how. Draw it on the chart.

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Explain your reasoning. Very thorough. Leaves

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nothing to chance. Right. Option B is the simplified

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prompt. More for quick insights. More conversational.

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Something like, hey, analyze this chart. What

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patterns do you see? Pick the most likely one,

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show me the targets, and draw it on the chart

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for me. Still gets great results, just faster.

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Okay, prompt sent. What's step five? Verify.

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Then trust. And this honestly is the most important

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step. Cannot stress this enough. Don't just blindly

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follow the AI. Never. You are the senior analyst

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here. The AI is your assistant. First, check

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the chart it drew. Does the pattern fit cleanly?

00:12:23.360 --> 00:12:25.860
Does it look obvious or kind of forced? Makes

00:12:25.860 --> 00:12:28.500
sense. Then check the price levels it gave you.

00:12:28.600 --> 00:12:30.679
Do they match up on your own charting platform?

00:12:30.940 --> 00:12:34.320
Quick sanity check. And the math. Briefly double

00:12:34.320 --> 00:12:37.360
check the target calculation. Is it roughly right

00:12:37.360 --> 00:12:39.519
based on the pattern size? Just a quick look.

00:12:39.679 --> 00:12:43.860
The point is the AI finds and quantifies possibilities.

00:12:44.299 --> 00:12:47.960
But the decision to trade, that's on you. Always

00:12:47.960 --> 00:12:51.139
your capital, your decision. That human oversight

00:12:51.139 --> 00:12:53.779
is critical. It feels like that verification

00:12:53.779 --> 00:12:56.559
step being the senior analyst is one people might

00:12:56.559 --> 00:12:58.539
easily skip. Especially if they're impressed

00:12:58.539 --> 00:13:01.159
by the AI. You nailed it. Out of all these steps,

00:13:01.360 --> 00:13:04.320
which one is most often overlooked, leading to

00:13:04.320 --> 00:13:07.419
poor results? Skipping that crucial step of human

00:13:07.419 --> 00:13:09.519
verification. Absolutely. That's the biggest

00:13:09.519 --> 00:13:12.080
mistake people make. Trusting too quickly. Okay,

00:13:12.159 --> 00:13:13.740
so that's the core blueprint. But you mentioned

00:13:13.740 --> 00:13:17.179
something else. A bonus technique. Confluence.

00:13:17.659 --> 00:13:19.659
Ah, yes, confluence. This is where it gets really

00:13:19.659 --> 00:13:22.340
powerful. Confluence just means you have multiple

00:13:22.340 --> 00:13:24.779
independent reasons pointing to the same trade

00:13:24.779 --> 00:13:27.100
idea. Okay, how do we use that here? By combining

00:13:27.100 --> 00:13:29.659
the AI's analysis, especially on those bigger

00:13:29.659 --> 00:13:32.299
patterns, with automated tools built into charting

00:13:32.299 --> 00:13:35.059
platforms, like TradingView's All Chart Patterns

00:13:35.059 --> 00:13:37.940
indicator. So run the AI analysis, then turn

00:13:37.940 --> 00:13:39.960
on the indicator. Exactly. It's like getting

00:13:39.960 --> 00:13:42.620
a second opinion automatically. The AI might

00:13:42.620 --> 00:13:45.769
spot a huge multi -month... cup and handle that

00:13:45.769 --> 00:13:47.809
the indicator misses because it looks for shorter

00:13:47.809 --> 00:13:50.250
term stuff. And the indicator might find. Smaller

00:13:50.250 --> 00:13:52.830
patterns, like maybe a bull flag or a pennant

00:13:52.830 --> 00:13:54.870
within that larger cup and handle confirming

00:13:54.870 --> 00:13:57.409
the direction. It's a checks and balances system.

00:13:57.610 --> 00:13:59.629
So when the big picture from the AI lines up

00:13:59.629 --> 00:14:01.250
with the smaller details from the indicator.

00:14:01.370 --> 00:14:03.690
That's confidence. Your confidence in that setup

00:14:03.690 --> 00:14:06.090
goes way, way up. That's kind of the holy grail

00:14:06.090 --> 00:14:08.450
traders are always looking for. High probability

00:14:08.450 --> 00:14:10.750
setups. Can we walk through some examples? Like

00:14:10.750 --> 00:14:12.509
how would this play out in different markets?

00:14:12.750 --> 00:14:16.360
Sure. Crypto first. Bitcoin. We already know

00:14:16.360 --> 00:14:18.240
that AI found that big cup and handle target

00:14:18.240 --> 00:14:23.139
149K to 155K. Long term bullish. Right. Then

00:14:23.139 --> 00:14:25.399
you turn on the trading you indicator. And maybe

00:14:25.399 --> 00:14:27.759
it finds a smaller bullish pennant pattern right

00:14:27.759 --> 00:14:30.220
near the recent highs. Also pointing towards,

00:14:30.240 --> 00:14:34.179
say, 149K. Wow. OK. Two independent signals saying

00:14:34.179 --> 00:14:36.159
the same thing. Exactly. High confidence, long

00:14:36.159 --> 00:14:39.980
term bull case. Now stocks. Imagine a... Big

00:14:39.980 --> 00:14:42.940
tech stock, maybe Apple, maybe Nvidia, after

00:14:42.940 --> 00:14:45.519
it's had a nasty correction. Okay. You run the

00:14:45.519 --> 00:14:48.000
chart and data through the AI. It identifies

00:14:48.000 --> 00:14:50.100
an inverse head and shoulders pattern near the

00:14:50.100 --> 00:14:52.779
bottom. That's a classic bullish reversal pattern.

00:14:53.200 --> 00:14:55.379
Suggests the downtrend might be over, heading

00:14:55.379 --> 00:14:58.139
back up. So the AI gives you the potential reversal

00:14:58.139 --> 00:15:00.860
signal. Yep. And maybe the indicator confirms

00:15:00.860 --> 00:15:03.500
with some smaller bullish continuation patterns

00:15:03.500 --> 00:15:05.970
as it starts to move up. Again, confluence. Okay,

00:15:06.009 --> 00:15:08.429
one more. Forex. Let's take EURASD, maybe on

00:15:08.429 --> 00:15:11.789
a four -hour chart. The AI spots a descending

00:15:11.789 --> 00:15:14.730
triangle. That's usually a bearish pattern suggesting

00:15:14.730 --> 00:15:17.509
price might break down. It gives you a target

00:15:17.509 --> 00:15:19.970
below the current price. So the AI is suggesting

00:15:19.970 --> 00:15:22.490
a short setup. Right. Then you switch on the

00:15:22.490 --> 00:15:24.629
trading view patterns indicator, and bam, it

00:15:24.629 --> 00:15:26.850
finds a bear flag forming right there too. Right.

00:15:26.929 --> 00:15:29.429
Another bearish pattern signaling a likely move

00:15:29.429 --> 00:15:31.929
lower. Two bearish signals lining up. Exactly.

00:15:31.990 --> 00:15:34.740
High probability short setup. See how combining

00:15:34.740 --> 00:15:38.159
them increases conviction. Whoa. Yeah, I can

00:15:38.159 --> 00:15:41.179
see that. Imagine scaling this, analyzing hundreds,

00:15:41.320 --> 00:15:43.500
thousands of charts like this every single day

00:15:43.500 --> 00:15:46.000
across all these markets. I mean, that's a serious

00:15:46.000 --> 00:15:48.759
edge that just wasn't really possible for most

00:15:48.759 --> 00:15:51.059
people even a year ago. It really is a potential

00:15:51.059 --> 00:15:53.820
game changer. So boiling it down. What's the

00:15:53.820 --> 00:15:56.519
single biggest advantage of using both the AI

00:15:56.519 --> 00:15:58.820
and these automated indicators together? It just

00:15:58.820 --> 00:16:00.580
dramatically increases your confidence in the

00:16:00.580 --> 00:16:02.419
trading setups you find. Makes perfect sense.

00:16:02.639 --> 00:16:05.000
So wrapping it all up, the results from all this

00:16:05.000 --> 00:16:07.919
testing are pretty clear, I think. While, yeah,

00:16:08.019 --> 00:16:11.179
most AI models are not quite ready for primetime

00:16:11.179 --> 00:16:13.159
and financial analysis. Especially the free ones.

00:16:13.440 --> 00:16:17.620
Definitely. But ChatGPT +, the $20 version, when

00:16:17.620 --> 00:16:19.460
you use it the right way, following that blueprint.

00:16:20.240 --> 00:16:22.899
Clean data, good prompt, human verification.

00:16:23.460 --> 00:16:26.360
It really can act as that powerful, affordable,

00:16:26.759 --> 00:16:29.679
tireless copilot. For technical analysis. For

00:16:29.679 --> 00:16:32.139
technical analysis, yeah. Across any market,

00:16:32.240 --> 00:16:35.559
crypto, stocks, Forex, it's not about replacing

00:16:35.559 --> 00:16:37.399
the trader. It's about creating this strategic

00:16:37.399 --> 00:16:40.240
partnership with the AI, using its strengths

00:16:40.240 --> 00:16:42.480
to augment yours. It feels like the question

00:16:42.480 --> 00:16:44.940
isn't really if AI will change trading anymore.

00:16:45.019 --> 00:16:47.000
It seems like it already is. It absolutely is.

00:16:47.179 --> 00:16:49.539
So the only real question left is, are you going

00:16:49.539 --> 00:16:51.460
to be ahead of the curve learning how to use

00:16:51.460 --> 00:16:55.059
these tools effectively? Or are you going to

00:16:55.059 --> 00:16:57.330
get left behind? A provocative thought to end

00:16:57.330 --> 00:16:59.870
on. Something to think about. We definitely encourage

00:16:59.870 --> 00:17:02.809
you to explore these ideas more and see how these

00:17:02.809 --> 00:17:05.369
tools might fit into your own approach, your

00:17:05.369 --> 00:17:05.890
own journey.
