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This page describes my initial thoughts on the problem I'm trying to solve. |
For an investor stock market prices seem to move randomly, which makes it difficult to invest successfully. I would like to investigate how best to predict these stock market movements. This would allow me to invest with more accuracy and precision than I am currently able to do so. I would like to use simple numerical methods like regression analysis which I have learned about in my Maths A-Level class to predict future stock prices. This will involve me looking at the performance of specific financial instruments against some key inputs for instance trading volume, the time period, newsfeed positivity against future growth.
A problem like this should be solvable by computational methods like Linear Regression Analysis working out which input affects the result (the stock price) the most using historical data. I also if possible want to try an AI approach, though this might be difficult in the time allowed.
The origins of AI can be found back in the 1950s when mathematician and computer scientist Alan Turing brought forward the idea of machines almost simulating human intelligence which was an idea with unlimited potential. In the years that followed, AI witnessed significant advancements, with the development of rule-based systems and knowledge-based systems, these are both ways to interpret information. Recent years have seen a surge in AI's capabilities. This is due to advances in computational power and the emergence of deep learning techniques. It has also become much easier to implement, in the past it was very complex to do, now in theory there are many libraries that will hide the complexity away from the developer.
As ai got more advanced it overtime affected different industries in major ways changing how certain people work and live. Some popular application of AI are:
Online personal assistants, such as Siri and Alexa, use human language processing to understand and respond to user queries.
- Online assistants like Siri and Alexa, these are bots that users can speak to and can expect accurate responses. They can also complete functions (Eg, "Alexa play radio 4" would prompt the device to play radio 4 outload.")
- Self driving cars are another example of where AI is used to make decisions that have to be perfectly accurate or in this case the car could crash leading to casualties.
- Ai is also used in the healthcare industry where different AI tools are used to decide on how a patient should be taken care of.
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