Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Effectiveness of Artificial Intelligence in Stock Market Prediction
  based on Machine Learning   This paper tries to address the problem of stock market prediction leveraging
artificial intelligence (AI) strategies. The stock market prediction can be
modeled based on two principal analyses called technical and fundamental. In
the technical analysis approach, the regression machine learning (ML)
algorithms are employed to predict the stock price trend at the end of a
business day based on the historical price data. In contrast, in the
fundamental analysis, the classification ML algorithms are applied to classify
the public sentiment based on news and social media. In the technical analysis,
the historical price data is exploited from Yahoo Finance, and in fundamental
analysis, public tweets on Twitter associated with the stock market are
investigated to assess the impact of sentiments on the stock market's forecast.
The results show a median performance, implying that with the current
technology of AI, it is too soon to claim AI can beat the stock markets.

34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con