Algorithm Trading using Python in Financial Markets
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
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.