Algorithmic Trading
The methods used to perform large quantities of trading analysis and the ability to obtain `data 'technically are discussed and the first direct evidence of the impact of AT and HFT on the Indian Stock market is provided.
Abstract
Research, no doubt, plays an important role in formulating any policy. Algorithmic Trading and, in particular, High Frequency Trading and Colocation, are some of the most controversial issues affecting how global security transactions are conducted. Rapid execution, accuracy, reduced costs, and avoidance of human emotions are some of the reasons for the increase. At the same time, the development of these technologies raises many regulatory challenges, especially with regard to market exploitation and ensuring market equity and integrity. And since these high-frequency sales are in the low-income category in India, research is in the survival category This paper provides the first direct evidence of the impact of AT and HFT on the Indian Stock market. There is no strong evidence that AT is damaging the markets. Problems such as market fraud have been around for a long time. Technology has changed the way financial markets operate and the way financial assets are marketed. Two important parallel technological changes are investors using computers to make their trading processes and markets redesigned so almost all markets now have electronic ordering books on Twitter, Facebook and other social networking sites. In this paper, we have discussed the methods used to perform large quantities of trading analysis and our ability to obtain `data 'technically. Algorithmic algorithms and terrifying systems for data integration and predictability, analysis, versatility, complexity, and great size. Potential developments include new algorithms, methods, systems and applications in algorithmic trading that derive useful and hidden information from trading effectively.