Predicting Stock Price movement statistically



Predicting Stock Price movement statistically. Here we use historical data to predict the movement of stock price for next day. It is completely mathematically valid. The mathematical model of Brownian motion has several real-world applications. Stock market fluctuations are often cited, although Benoit Mandelbrot rejected its applicability to stock price movements in part because these are discontinuous. This is a momentum indicator used in technical analysis, which compares the stock's closing price to its price over the course of a particular time frame. During an upward trend in the market, a stock's share price will close near its high (highest price traded), and when in a downward-trending market, the security's price will close near the low (lowest price traded). This may determine whether a stock is overbought or oversold, thus predicting a possible momentum change. http://www.garguniversity.com Check out Ebook "Mind Math" from Dr. Garg https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18

Comments

  1. wadafaq did you record this video with? A potato?
  2. Do you have a base research paper for this method of analysis? If you have, can you please provide the link for it?
  3. dont be angry you cant make money in the market. it isnt for everyone. Great video
  4. So, could you explain a little bit more to why you chose the commutative distribution , also why did you have to order the %change.
  5. I think this would be more accurate for volatile shares
  6. are there platforms that offer copy buffet that is not glennridge capital...i have sent in my documents 14 times and a mouth later i still have a dead account with founds i cant touch
  7. I see your percent change, may i suggest using P1/P2-1 more efficent, one less step.
    Good video.
  8. Garg U, thank you. Traders need more science like this.
  9. I use MarketXLS. It works great for me.
  10. You can predict the price but your broke still, huh?
  11. no science!!
  12. From your sample data, can you explain what will be the answer for the stock at 90% probability level? Will it always be negative? What should be the ideal probability level one has to set?
  13. idiot
  14. Wasted my time doing this, and turns out this is bullshit. The formula would return almost the same percentage for tomorrow, and the day after tomorrow, and the day after that.... in other words, if you get a gain, the formula says you'd get a gain for every day since then, because of the large set of data. It can't give you any worthwhile probability or interpretation. BULLSHIT.
  15. Hi, thanks you for your video but could you please reupload it again with more quality?.. Thanks in advance.
  16. cheers! nice video. just reupload please because the quality isnt very good
  17. in 2014, just use "wolfram cloud programming" , will be much faster and easier.
  18. thanks
  19. what day, month and year is the start of this data? 
    so I can use it to to know if my outputs are correct.
  20. Hello enjoy your video very much and found it informational in a all ways. have some questions if you can share them will appreciated.  First do you have some more videos in finance math in pricing shares of stock or option etc.  Second is it possible to go deeper on the subject for calculating the price of the stock for a long term investment and calculating the expected return in time from the past history.  and finally how did you do the fast filling of the excel column with out going out to infinity when you paste the formula or the number sequencing from 1 to 1000.  
    thank for the video and sharing this knowledge. 
    many blessings.


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Visibility: 69045

Duration: 7m 51s

Rating: 155