Raleigh, North Carolina, United States, January 20, 2026 -- Helix Alpha Systems Ltd , a quantitative research and systems-engineering firm, today announced the deployment of a next-generation research ...
One of the common methods of testing algorithmic trading is backtesting. Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market depth. Here a simulator is used to ...
Algorithmic trading ispurchasing or selling stocks and other investment assets via an automated electronic order. In other words, software can be programmed with instructions to buy or sell an asset.
Definedge Securities launches ALGOSTRA, a zero-fee algo trading platform empowering retail investors with automated trading strategies.
Nurp is at the forefront of cutting-edge financial technology that helps traders stay ahead of the trading curve. The platform boasts diverse algorithms tailored to address various aspects of trading ...
Futures Trading Algorithms involve using automated computer programs to conduct trades in the futures markets. These algorithms evaluate market data and autonomously make trading decisions, aiming to ...
Head of execution analytics, multi-asset, at Man Group, Antish Manna, sits down with The TRADE to explore how to leverage algorithms to achieve the best results, touching on machine learning, broker ...
Over the last year, the buy-side has seen a notable uptick in algo usage and looking into The TRADE’s most recent survey findings, this looks set to continue. The buy-side has long voiced ...
(EXECUTION MATTERS is a Traders Magazine content series focused on the topics most important to traders and technologists in US equities and options markets. EXECUTION MATTERS is produced in ...
Seyed Mohamad Seyed Hoseini, known professionally as Hoseini Finance, is a data-driven finance specialist, instructor, and ...
Jan 20 (Reuters) - The financial services regulator for India's Gujarat International Finance Tech (GIFT) City has proposed a ...
AI is advancing rapidly in crypto trading, forcing traders to confront how much decision-making can be automated without ...