Data Science Interview Question: Stock Price Prediction and Random Walk Hypothesis (Episode 5)

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  • Опубликовано: 14 июн 2024
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    How to pass your data science interview:
    - What is a Gaussian random walk and why is it useful?
    - How to forecast
    - How to get confidence intervals for the forecast
    - What is the random walk hypothesis and the efficient market hypothesis?
    - Can you really predict stock prices with LSTMs?
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Комментарии • 26

  • @nickmartin3647
    @nickmartin3647 6 месяцев назад +2

    I think its a lazy hypothesis. Markets aren't random because they are determined by a group of intelligent agents. The reason I say this is because I know price can be affected by external factors like news. I think stock price falls under a category of complex dynamical systems. It might be too complex for us to model currently but it's certainly not random.

  • @sayanbanerjee4762
    @sayanbanerjee4762 4 года назад +6

    Thank you for this video. I am a senior level AI Engineer in a reputed company. It is heart breaking to see everyday people are falling for these gimmicks. There are really few companies has mastered the art of AI but everyone wants it without understanding it. There are few people and organizations who are actively taking advantage of it and trying to make a career or business out of it.

    • @live_mocha
      @live_mocha 4 года назад

      How can a beginner know what companies are legit (apart from the giants or extremely famous like the FAANG)
      and what are taking advantage? In India particularly there are mushrooming startups. Some with even weird names, I never knew about. Please share your experience. Thank you.

    • @sayanbanerjee4762
      @sayanbanerjee4762 4 года назад +2

      @@live_mochaCuriosity, Knowledge and Awareness, I think are big 3 which can ensure the quality. In plain and simple language, don't get carried away by flashy language and presentation, question everything and continue to do so until you are satisfied. Also, at the same time, we need to keep updating ourselves. My preferable approach, in this case, is "DFS" rather than "BFS". What I mean by that is, I would like to know one thing from the foundational level and by each building block before moving to another.

    • @live_mocha
      @live_mocha 4 года назад

      @@sayanbanerjee4762 Noted!! Thank you for the reply...

  • @robvp71
    @robvp71 4 года назад +2

    Eat that you average datascientist (like me :-) Great video and I love the way you expose these tricks. Thx!

  • @sorvex9
    @sorvex9 2 года назад +1

    This guy is a god damn sigma male, loved the video.

  • @jflow5601
    @jflow5601 4 года назад

    I don't know what to think about stock prediction. To me the stock price is the emergent result of swarms of traders buying and selling a stock. The price takes on a life of its own much like a swarm of birds that create patterns from individual birds reacting to what the rest are doing. The price appears to have periodic behavior at different frequencies from seconds to weeks. I believe that the price can be predicted with some accuracy if one analyzes these patterns. But not without significant error at times

  • @leotrisport
    @leotrisport 3 года назад

    Hi! I really liked your video, but you think they assuming the random term a Gaussian distribution a correct idea ? I still trying to make my head understand how to prove that the market is not efficient. But personally I care a bit less on trying to predict the market but more In detecting if my guess was correct (let the profits run) or incorrect (get stopped out)

    • @LazyProgrammerOfficial
      @LazyProgrammerOfficial  3 года назад

      I welcome you to take my new Time Series Analysis course and Financial Engineering course to learn about how to analyze the distributions of returns and understand to what degree they are predictable.
      lazyprogrammer.me/new-course-time-series-analysis-forecasting-and-machine-learning-in-python/
      lazyprogrammer.me/new-course-financial-engineering-and-artificial-intelligence-in-python/

    • @leotrisport
      @leotrisport 3 года назад

      @@LazyProgrammerOfficial awesome thanks I will definitely take your course

  • @akeithkira
    @akeithkira 3 года назад +1

    Love your content especially the last part. Just sick of those LSTM titled courses ... they are all over the internet , my goodness !!!

  • @reubenrouse9906
    @reubenrouse9906 Год назад

    good bideo

  • @pmsutube
    @pmsutube 4 года назад +2

    you are honest

  • @kenlau4649
    @kenlau4649 2 года назад +1

    Guess why I'm here, those unbelievable LSTM predicting stuff you are talking about. Your video makes sense to me, so I buy your course, with a 75% discount.

  • @saw4106
    @saw4106 2 года назад

    I love you!!! and your video!!!

  • @randall.chamberlain
    @randall.chamberlain 2 года назад

    Medallion?

  • @hjay1142
    @hjay1142 3 года назад

    I'm a day trader which means I trade financial instrument in a very short time interval. I don't know if market is purely rendom, is it rigged or subject to any mathematical principle , I can tell you my friend I am trading it and I am making money from it thanks God. Your video was very informative though

    • @LazyProgrammerOfficial
      @LazyProgrammerOfficial  3 года назад +1

      The question isn't whether or not you can make money since buying and holding will make money. The question is can you beat the market (consistently), avoid large drawdowns, etc.

  • @thejason5276
    @thejason5276 2 года назад

    This video is neglecting skew and kurtosis.

    • @LazyProgrammerOfficial
      @LazyProgrammerOfficial  2 года назад +1

      Correction: distributions that model non-normal skew and kurtosis are covered in the course. This is an interview question.

    • @LazyProgrammerOfficial
      @LazyProgrammerOfficial  2 года назад

      Recall that the celebrated Black-Scholes formula also uses the normal.

    • @thejason5276
      @thejason5276 2 года назад

      @@LazyProgrammerOfficial There would be many non-market maker billionaires if the Black-Scholes equation modeled reality instead of average reality.

    • @LazyProgrammerOfficial
      @LazyProgrammerOfficial  2 года назад +1

      @@thejason5276 Have you ever won a Nobel prize for your work?