Algorithm Trading using Python in Financial Markets

  • Treyhan Fernandes Thakur Institute of Management Studies Career Development and Research, Mumbai, Maharashtra, India.
  • Rahul Guptia Thakur Institute of Management Studies Career Development and Research, Mumbai, Maharashtra, India.

Abstract

Algorithmic trading is defined as using computer-generated algorithms to create and execute market orders. More recently, such logos trading strategies have been increasingly associated with a negative impact on major markets-both from a technical and business perspective. However, there are positive effects on algorithmic trading and-such as inflation and the elimination of market inefficiencies-far outweigh the potential negative consequences. Apart from this, algo trading has become increasingly popular and accepted in many of the world’s major markets, requiring well-thought-out strategies that help traders and investors make more than just the right return on their investment.


How to cite this article:
Fernandes T, Guptia R. Algorithm Trading using Python in Financial Markets. J Adv Res Appl Arti Intel Neural Netw 2021; 5(2): 1-4.

References

1. https://www.investopedia.com/terms/a/ algorithmictrading.asp#:~:text=Algorithmic%20trading%20is%20a%20process,to%20the%20market%20over%20time.
2. https://www.trality.com/blog/algorithmic-trading
3. https://www.researchgate.net/publication/345319146_Algorithmic_Trading_and_Strategies
4. https://www.myquant.cn/uploads/default/original/1X/4c7037365a4bf1623734 c1c899baed7855061ace.pdf
5. Algorithmic and high-frequency trading strategies: A literature review by Mandes, Alexandru Ernie Chan - Algorithmic Trading.
Published
2022-06-20
How to Cite
FERNANDES, Treyhan; GUPTIA, Rahul. Algorithm Trading using Python in Financial Markets. Journal of Advanced Research in Applied Artificial Intelligence and Neural Network, [S.l.], v. 5, n. 2, p. 1-4, june 2022. Available at: <http://thejournalshouse.com/index.php/neural-network-intelligence-adr/article/view/588>. Date accessed: 22 dec. 2024.