Development Tools Financial Trading Industry News, Articles & Insight
- Real-time memory moving in
16th July 2014 - Java may not be an emerging technology, but a lot has been happening in the last few years to push the popular language towards lower latency.
- Ideas in computational finance
25th June 2014 - Automated Trader visits MATLAB's client showcase to see how regulators, banks and hedge funds are using models.
- AT webinar: Tech execs see ways to boost performance while cutting costs
30th May 2014 - Looking to improve performance and reduce costs without redesigning your entire system? A range of tech experts in an Automated Trader webinar discuss ways this can be achieved.
- RTS launches RTD Tango Trader 2.0
11th March 2014 - RTS releases RTD Tango Trader 2.0 with Chart Analytics Package and introduction of algorithmic development services.
- Speed or sophistication? RTS sees market priorities shifting
9th September 2013 - RTS has just launched a new version of RTD Tango QUANT, so Automated Trader caught up with CEO Steffen Gemuenden. He describes a market environment where many trading firms are beefing up their analytical capabilities rather than focusing purely on speed.
- RTS releases new version of RTD Tango QUANT, adds features
9th September 2013 - RTS added features such as portfolio management tools and post-trade analysis to its Tango QUANT product.
- Utopian Quantopian?
15th August 2013 - Quantitative strategy building and backtesting platform? Using an accessible, popular yet powerful programming language? Paper trading, plus (in due course) live deployment of strategies? Free!?! Automated Trader's founder, Andy Webb, and the Wrecking Crew check out whether Quantopian really is all it seems.
- Outside looking in
13th May 2013 - To outsiders, the algorithmic trading industry is a citadel - big, rich, and closed to tourists. Assembling the tools needed to get behind the walls is tough, laborious and time-consuming. So what are the prospects for interlopers to prise open a gap and get inside?
- Peek Ahead: DIY Disaster
22nd January 2007 - How one fund house's attempt to build its own algos proved a rocky road to reality.