The industry has been adapting to automation progressively in the last few years within emerging markets, and the use of algo products such as sell-side algo suites and algo wheels has increased ...

Quantitative trading is an approach that is normally associated with institutional investors handling huge sums of money, but technological advances have made it easier for amateur and individual ...

Quantitative trading relies on mathematical models as part of its strategy to execute trades. Quantitative trading relies on mathematical models and statistical analysis to make trading decisions.

“Quant Trading Data Management by the Numbers” is a must-read for financial professionals seeking to master the complexities of high-volume, low-latency, and time-series data in quantitative trading.

Experts point out that traditional investment approaches in Bangladesh’s stock market have largely relied on personal ...

Quant Data is looking to add value in a highly competitive space. “These improvements benefit all of our users and, in turn, benefit all retail traders,” CEO says. Get our list of 10 overlooked stocks ...

SEATTLE--(BUSINESS WIRE)--QuantConnect, the world’s largest algorithmic trading platform, today announced the launch of QuantConnect Datasets, the first-ever platform where a quant can harness a data ...

Singapore City, Singapore--(Newsfile Corp. - June 16, 2022) - Coinhub AI quantitative trading reports a rise of 200% of user data in Q2. After its launch, Coinhub, as a pioneer in the field of AI ...