Algorithmic Trading - Open Mic Night
- 6:15pm - Doors open
Refreshments and Networking Opportunities
- 6:45pm - Session starts
Welcome address
Piotr Serwin & Radek Wierzbicki, Fintech Trends Organisers
Presentations
Mateusz Manikowski, a Quantitative Trader with 10 years’ experience in The City. He holds degrees in Mathematics, Finance and Machine Learning. Started as a structurer at Bank of America. He then was a member of a start-up team building Fixed Income algorithmic trading business at UBS. After that he worked for GETCO (renamed KCG after takeover) on the project of building a new trading system and later was responsible for equities trading in Europe. Most recently at Maven, were he was building algorithmic trading business in futures and equities. Currently on gardening leave, Mateusz will soon start building quantitative trading capabilities in Poland.
Two more speakers to be announced
Panel Session
An open discussion with both speakers and delegates exploring the presentations so far and the future of investment products distribution.
- 8:15pm - Closing
Shout-outs, communications and thanks
Further Networking Opportunities
- 9:15pm - Session ends
As various investment strategies have been thoroughly researched and anaylsed, the findings led to automation of the investment process, in particular risk and portfolio management functions. Quantitative trading of a kind had been praticed ever since Munehisa Homma - a rice trader at Osaka exchange started drawing japanese candlestick charts in order to spot patterns in daily open, high, low and close values, with naked eye. Since then the field went through massive evolution that accelerated in recent years with development of advanced mathematics, made possible by vastly increased computing power. At the most advanced trading firms machine learning-aided algorithms comb through very large sets of data, create trades and execute them in the market using optimised (for speed) code and the fastest fiber or microwave connection. Learn about algorithmic trading at our next event.
