Artificial Intelligence VS Algorithmic Trading
Deep Blue versus Garry Kasparov: Deep Blue versus Garry Kasparov was a pair of six-game chess matches between the world chess champion Garry Kasparov and an IBM supercomputer called Deep Blue. The first match was played in Philadelphia in 1996 and won by Kasparov (4 – 2). The second was played in New York City in 1997 and won by Deep Blue (3.5 – 2.5). The 1997 match was the first defeat of a reigning world chess champion by a computer under tournament conditions.[1]
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. Algorithmic Trading is also bereft of human emotions which usually account for the reason of losses in the market. Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [2]
Key points
“… spends tens of millions of dollars on this stuff … They have more people working in their technology area than people on the trading desk…The nature of the markets has changed dramatically.”
Artificial Intelligence VS Algorithmic Trading:
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems [4]. Given the fact that Artificial intelligence has stepped into almost all walks of life, the legal domain is no exception.
Live and Let Die: Algorithmic – Quantitative Trading and the Law
Key points
The volatility and nature of the markets are also open to discussion because of the maturity because of Algorithmic trading.[6]
What is an Algorithmic Trading Developer and a Quantitative Developer?
An Algorithmic Trading Developer is the one who designs algorithms for generating trading signals as well as for placing orders. The decision to buy or sell is based on the computations performed by the algorithm with the help of the information.
Mr. Chirag Pangoriya, Founder and CEO of Able Algorithmic Technologies.
Using Algorithmic Trading has many advantages, like an effective and efficient system that enables users to focus more on value-added work. But advanced Algorithmic trading has certain challenges that require our attention:
DATA PRIVACY: Privacy concerns regarding the collection, use, and storage of personal data by Algorithmic trading systems and the exploitation of personal information of clients without knowledge and approval.
