Stock Price Prediction | AI in Finance

43 thoughts on “Stock Price Prediction | AI in Finance”

1. nst as everything

2. I am a beginner at Data Science, I did a project on Technical Analysis and Regression analysis of Stock Market. I had done some visualizations and used OLS Regression Model. The link to my project is https://github.com/SidharthRai/Regression-and-Technical-Analysis-of-Stock-Market . Can you suggest me how should I further move on with python – Machine Learning?

3. We dont want to predict it.. we want to make money from it.. from real markets.. not simulated.. this is a complete fail, make it more applicable to real life

4. I have done CFA course ,apart from that I want to know there is any good course AI in finance or quantative trading .

5. How do you get A.I. For trading ?

6. What are the areas of Mathematics required to master Reinforcement Learning?

7. don’t mislead people. The AI has failed to predict stock price. And 7.7 billion investment in AI means you’ll hardly get any job. Yet it does well in trend prediction which is not enough.

8. I did all of this and I got the error: "DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
   "This module will be removed in 0.20.", DeprecationWarning)"

9. Excellent material, thanks

10. How much money u make from stock market using all these stuff

11. ai is doomed…

12. Hi siraj
    Thanks for your time. I have a question: suppose that we have predicted the stock price. Next, some prominent bodies ( such the President of USA talking about the related issue that could affect the price of that stock wherein has not considered before) how we could consider this new information to the prediction?

13. AI in Crypto!

14. How can I learn more about AI uses for a CFO that you mention?

15. Eat Dicks

16. I am in futures trading and would love to meet a professional machine learning programmer who is interested in doing work and potentially being a business partner

17. If you really know how to createyour own a.i it’s scary what you could do in life. You are literally a God

18. If anyone is good at AI and has a trading solution built with signals holler at me matttopsecretemail@gmail.com I have a good offer for you if your AI is legit 🙂

19. can someone tell me how to add sentiment analysis result (which is good or bad) to row for regression

20. This is an excellent video. Whether we can download your handouts for this video just for learning?

21. No special metion on Prediction of stock price with AI… disappointed

22. Mr. Raval are you from gujarat because I like such AI can only think by Gujarati ,it very nice explain

23. nodejs needed for this script?

24. Hi Siraj. I am not able to run the code some how.

25. Really impressive analysis. Could you please provide the ppt or pdf from where you are showing

26. Does the AI's overestimation of the data result in many errors, particularly when it comes to fraud detection?

27. Hi, every one,
    Every one here who have already did the " Prediction car speed" can have me to do it, or give me some idea to do it. Thanks so much!!!

28. I don't thin LSTM's are great for time series…

29. IMHO the video began at 10-13min mark.

    im here for the time series Prediction itself, not usecases.

30. Sir,
    I subscribed your channel some months ago, I wanna to learn AI.. please guide me how can I develop a stock prediction sw for Indian stock market

31. Nice video. I've seen that one of the most common mistakes people do when attempting this type of predictions is the errors related to "Look-ahead bias". What are your suggestions to minimize the possibility of errors of this type?

32. On a practical level, for deep learning to work in Forex, can the system be adaptive in a live market, or does it need "down time" to process?

33. 16:50 can we really sentiment analysis results transform into numerical variable? seems to me not all 1/0 has to be accounted for same degree of "good" or "bad"

34. Algorithmic trading has nothing to do with 10k 8K or whatever sentiment analysis reports you want to scrape up from the internet. Everything is based on market liquidity for trade facilitation. The smartest AI will use this sentiment analysis to see where other AI bits accumulated positions. Then squeeze them out.

35. The law of standard distribution is all you need to know about trading. if you understand that you'll understand why day traders loose most of the time. XD

36. Dude, genius. Subscribed!

37. … Great !!

38. I both believe in the weak,-semi and strong version of the market hypothesis. The weak version I believe is rare, but does happen. The semi-strong version is less rare, but i belive it usually only (sometimes) applies to smaller, less traded, companies.

    There are active traders, and there are passive traders. I belive in what both do, the passive trader will create diversified portiofolios with a good return-risk ratio. For this task only simple mathematics is needed, and I cant see any need for AI. However data collection algorithms can help find the best portifolios.

    So, active trading is the field of the AI. Here is what you gotta realize: if the semi-strong market hypothesis is true (which it will be in most cases) the data the AI gathers won't be relevant, the market will already have acted on this information, and the price will reflect this. And wheter you make a profit or not will be down to luck.

    Good active traders gathers data that are not publicely available. A short seller might for example look for fraudulent practices by analysing their financial statements etc. and even doing real life spying on the company to gather information. Bet on the stock going down, then release the information. Other active traders will buy enough shares so they can affect how the company is run, if they see a problem (and the solution) and it is the leadership – buy low and sell high.

    Now, how the heck is your machine learning algorithm going to compete with this? it can't. How do the big boys make money on it? through influence, having the right buy code on the stock exchange, and the fastest network connection. Well, unless happen to stumble upon some fact about the inner workings of the market that is not yet known, which is highly unlikely. And its not likely that an AI is going to find such a thing either, since the stock market is a complex system whith trillions of variables that change and all affect eachother.

39. Hi Siraj, Good work. I have learnt a lot from you since I have started following your material. You referred to the web template that we can use, where can I download the source code? Thanks in advance.

40. I am not a programming wiz person. But I have UG in financial markets and mba in finance. I have always been interested in so ai also trading and ML. I created my own eth miner. In order to repurpose I thought of this. May be this is a waste of my time. But maybe some career advice is needed. Thanks. Really appreciate it.

41. Absolute crap. To solve a problem, first try to understand it.

42. Hi…i like your videos.
    Would you suggest me best algorithm for intelligent advising.

43. Hi Siraj, how do I get this WebApp to take a look? I would like to get more information about your work…. Do you have an online course of some kind? Many Thanks!

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