Predicting Stock Price movement statistically

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Please support us at: • / garguniversity 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-Lear...

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