00:00I asked ChatGPT to find the next trading opportunity and this is what came out.
00:06You have 60 seconds to turn ChatGPT into a trading assistant.
00:11Are you ready? Are you still trading the old way?
00:14Let me show you better, much better.
00:16ChatGPT plus prompts, you'll have smarter trades, check this out.
00:21Hi everyone, today I'm going to show you how to turn ChatGPT into a trading copilot
00:25with idea detection, rapid analyses, scenario hypotheses and anomaly spotting.
00:31All this using a few prompts.
00:34No technical blah blah, just concrete methods that I use live to spot setups and save time.
00:40If you are a business, stay until the end, I will reveal secrets to you
00:43that will change your routine and what you think about AI.
00:48You're still using old-school AI, you're incorporating a few prompts into your daily routine
00:53and at the end, I'll throw you three killer prompts and a hack to read graphics ten times faster.
00:59Subscribe if you want more practical tutorials, live tests and now let's go.
01:04What we're going to get today is an analysis with ChatGPT.
01:08We will completely hack the trading system using the computing and reasoning capabilities of AI
01:13to allow them to see different scenarios.
01:15These scenarios will allow us to provide scores and understand performance risks.
01:20depending on the different possibilities.
01:22We will even see a hitpap, that is to say when it is better to invest
01:27and you will see that the possibility will change.
01:30Today we are going to study LVMH.
01:32Here is the prompt I used and I used in particular the capacity of this completely incredible tool,
01:40Perplexity.
01:41So for those who don't know Perplexity, if you don't have the subscription yet,
01:44I found a way to get it for 3 euros per month.
01:47I will put the link in the description.
01:49I tell you again, save where you can and invest the money where it is needed.
01:54Perplexity Lab is this advanced feature that allows you to manage complex reports,
02:00ideas and realize them in the blink of an eye.
02:03In 20 minutes, you will have trading ideas, test scenarios, automate processes,
02:09all this simply by using prompt engineering.
02:11If you're wondering how I get Perplexity for just 3 euros a month,
02:17instead of paying 250 euros a year,
02:20Well, quite simply, I went to a MyPCK site.
02:23I made a video to show you how to create an account.
02:26And above all, follow the tutorial very carefully because there are tips.
02:29Additionally, I found discount codes that can be found on the Internet.
02:32So I am not sponsored at all in the story,
02:34but I want to share it with you because there are so many of us sharing our tips.
02:38So, start by subscribing.
02:41Don't hesitate, if you want to make a video with me, to leave a message, a DM,
02:44and it will be very happy.
02:46We'll start right away with the prompt we're going to use.
02:48We will study the LVMH action.
02:51The prompt, here it is.
02:53Offers a momentum trading strategy around the announcement of LVMH's annual results in 2026.
02:58Start by identifying the different purchasing scenarios.
03:01For example, one week, the day before, the same morning, the time of sale,
03:06a week later, a month later,
03:08then performs a backtest on the last five publications from 2021 to 2025.
03:13From historical stock market data via Euronext, Yahoo, Finance.
03:18What is the probability of winning each scenario?
03:20Which one offers the best risk-return ratio?
03:23Present the results in a graphical table?
03:25Finally, let us be an interactive dashboard.
03:28To benefit from this advanced feature,
03:30you need to activate the Lab function and send this request.
03:33And we'll let the AI work.
03:34She will collect all the information,
03:36generate a summary of information from all data from 2021 to 2025
03:40and test different scenarios that we will submit to him.
03:44And we just have to analyze the final part.
03:47The craziest thing about the story is that this scenario,
03:50you can also sell it.
03:51Simply put, you have the option to export the content,
03:54either on a page or to sell it as an app.
03:57And there you have the comparison of the scenarios.
04:00Average return, shape return, probability of winning.
04:04This is what will interest us.
04:04And you automatically have the scenario 7 days before purchase,
04:09sale 7 days later and to define what the current provable returns are.
04:14So you have strategies that are evaluated.
04:16We also have volatility.
04:18LVMH scenario returns based on scenarios.
04:21So, scenario number 7 would be the preferred one.
04:24And a risk-return ratio based on these elements.
04:27This whole strategy is defined by AI and calculated,
04:31also allowing us to understand that the strategies of 2025
04:35are not the same as 2024,
04:37by defining a percentage of return and risk.
04:40If you're this far into the video,
04:42I'll show you where I learned this type of content.
04:46So, I found this type of content in the video
04:48Perplexity Lab: 5 Crazy Underrated Use Cases
04:52You should know that I test the vast majority of content.
04:55specialists in the field of AI,
04:58who have worked for the biggest companies,
05:00who are great unicorn hunters.
05:03And if you're tired of hearing the transverse flute
05:06on AI training,
05:07Maybe it's time you took an interest in what I do,
05:10what I propose as a working method.
05:12In just a few clicks, I'll show you that all the marketing talk
05:14that you just had is 100% present
05:17in the field of French-language videos.
05:19And unfortunately, today, I am the only one who is able
05:24to analyze content on which you have more than 160,000 views,
05:28sometimes 30,000, sometimes 50,000.
05:30And there is no one today who can detect
05:33the level of deception of this type of content on social networks.
05:38So if you are an investor, if you are a business
05:40and that at some point, you were sold a dream by clicking with words,
05:44Maybe it's time you switched to some real technical strategies.
05:46First lesson.
05:47In the detailed analysis, what we will be interested in doing,
05:50This is the source stage.
05:51If you have a model, you should immediately check the sources.
05:54The problem is that if the model should have worked,
05:57he should have recovered only data
06:00which are those focused on Euronext and Yahoo.
06:03Unfortunately, you see that you have something else entirely.
06:05in terms of information.
06:07So the prompt that is used is not effective.
06:10This way of driving the model will not allow it
06:12to define which sources and data to use
06:15to do this type of work.
06:18Second, at the level of what we call assets,
06:20you need to have some knowledge of code
06:21and understand what happened.
06:23First thing, we realize that the system
06:24successfully imported the Yahoo database,
06:27but did not do so on all of the requested dates.
06:30Then the model made a
06:32probability of winning based on a simple mathematical distribution
06:36of J plus 2, plus 3, plus 7, plus 30.
06:39That is, you have no prediction model
06:42which is more than a division, a banal subtraction.
06:45You are completely deceived by artificial intelligence.
06:48The problem is that this type of content
06:50which is proposed by specialists
06:52isn't even really theirs.
06:55I went to another video
06:56that I had seen, that I had heard
06:58and who said something quite similar.
07:02Performs a fundamental analysis of LVMH stock in July 2025
07:04who is this amazing use of Perplexity,
07:07the best AI.
07:08And we were in at least one case
07:09which was much more realistic,
07:11that is, the capacity of AI
07:13to analyze data.
07:15But the problem is essentially the same.
07:17You understood one thing.
07:18This way of prompting
07:19where you were led to believe from the beginning
07:21and that's why you're disappointed
07:23when you work with AI,
07:24that you will never be able to surpass
07:27the simple publication stage
07:29on social networks
07:30or blog articles to make friends laugh,
07:33it's that you are incapable
07:34to define the operating mode
07:36of what is called retrieval,
07:39that is, the ability to find
07:40relevant information
07:42and the way of reasoning,
07:43that is, how the model
07:44must use the data.
07:46The two capital points in the system
07:48are the data, the reasoning.
07:50What should he do?
07:51In what way?
07:52With what sorting basis
07:53he must operate the actions?
07:55So, in both cases,
07:57the result obtained will not be conclusive.
08:00The least dangerous, of course,
08:01it is simply to give a fundamental analysis,
08:04but when you set strategies
08:07and you ask the AI
08:08to put yourself in the hands
08:10scenario analyses
08:11and that you have, unfortunately,
08:13training, videos,
08:15content on all networks
08:17who have only one word,
08:19that of beating you morning, noon and night,
08:22with the simplicity that anyone
08:24can happen with just words
08:26to use artificial intelligence,
08:28you are in front of the biggest
08:29intellectual hold-up.
08:31So, I'm going to address the 1%.
08:34who still have the capacity
08:35to have a critical mind.
08:36If you understood what I just said,
08:38maybe it's time
08:39that for your work,
08:41your financial capabilities
08:43and the time you waste
08:44and you have already lost
08:45while watching content
08:47which completely misleads you,
08:49that you spend with working methods
08:51which will really allow you
08:52to understand how to do this type of action,
08:55how it is structured
08:56and how we interact
08:57with LLM models.
08:59If you want to know more,
09:00go directly to my training courses.
09:03You can follow me on my podcast,
09:04on social networks Twitter,
09:07Instagram, Facebook
09:08and you have the chatbot
09:10on the sales page
09:11if you need to contact me
09:12and I will put my email
09:13if you need to train your teams.
09:15I'll see you soon,
09:16see you next time.
09:17Stay strong.
09:19See you later.
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