Options pricing itself combines a lot of data. The price for options contract depends on the future value of the stock (analysts try to also predict the price in order to come up with the most accurate price for the call option). Using deep unsupervised learning (Self-organized Maps) we ...
While a predictable formula that could be used to guess tomorrow's stock prices might not truly be possible, traders and market makers are voracious consumers of data. Any tip, trick or tool at their disposal can help gain even the slightest advantages against their peers -- and AI ...
Explore the intersection of AI and finance. Learn how machine learning algorithms can revolutionize stock market prediction, giving you a competitive edge in trading.
Hassan and Nath in [9] applied the Hidden Markov Model (HMM) on the stock market forecasting on stock prices of four different Airlines. They reduce states of the model into four states: the opening price, closing price, the highest price, and the lowest price. The strong point of this ...
The success of yPredict’s presale and its diverse product portfolio position makes it a formidable player in the AI crypto space. With artificial intelligence gaining prominence, the crypto sector stands on the brink of a transformative shift. So, with the Flow price facing...
Options pricing itself combines a lot of data. The price for options contract depends on the future value of the stock (analysts try to also predict the price in order to come up with the most accurate price for the call option). Using deep unsupervised learning (Self-organized Maps) we ...
This is the model using the Best Fit ARIMA order and used it to predict the open price of gold ETF for the last 365 days of the training data. We then compared the prediction against the real prices for the last 365 days of the training set.The...
However, investor sentiment does have a significant positive effect on contemporaneous stock price. Moreover, Bu et al. (2018) uncover that text-extracted investor sentiment constructed by using messages before the market opens could predict the open price of stock market. Given the inconsistency of...
of the literature (Nazario et al.2017; AI-Shamery and AI-Shamery2018; Lahmiri2018; Lin et al.2021; Lin2018; Sugumar2014; Picasso et al.2019) is focused on technical analysis based on technical indicators to identify the movement direction of stock prices and turning points in the time ...
(Buffett and Hathaway, 1991), which indicates that analyzing the rationales of past cases is always easier than predicting the future, we prompt GPT4 to find suitable experts and use their strategies to account for the price variations each time there is a movement in stock prices. By this ...