STA Monthly Meeting – February 2016
Riccardo Ronco, Head of Technical Analysis at Aviate Global, will speak on Trend Following – two problems (and possible solutions) for application to equities.
Riccardo follows large- and mid-cap European and U.S. equities, paying attention to domestic and foreign equity indices, currencies, commodities, and interest rates. As a medium-term trend follower, his approach is strongly quantitative in nature; particular attention, however, is devoted to identifying reversal patterns characterized by excessive consensus among investors.
He brings more than 15 years of experience in trading, quantitative analysis, and teaching technical analysis in the United Kingdom and Ialy. Prior to joining Aviate Global in April 2010, Riccardo worked for Credit Agricole Indosuez, Banca Intesa Group, and Banca AntonVeneta (MontePaschi Group) and FBR Capital Markets.
He is a frequent guest on CNBC Europe and other European media outlets. A member of the Society of Technical Analysts (STA) from 2000 to 2015 and the Market Technicians Association (MTA), Mr. Ronco was a speaker at the International Federation of Technical Analysts (IFTA) 1998 conference in Rome, in Beijing (2011) and in New York for the MTA 2015 Symposium.
His work is mentioned in the book Capital Market Revolution: The Future of Markets in an Online World by Patrick Young.
Riccardo follows large- and mid-cap European and US equities, paying attention to domestic and foreign equity indices, currencies, commodities and interest rates. As a medium-term trend follower, his approach is strongly quantitative in nature; particular attention, however, is devoted to identifying reversal patterns characterized by excessive consensus among investors.
Next STA Meeting
STA Monthly Meeting – October 2023
The main reason for ineffective strategy construction which leads to non-reproducible results in real time and hence inconsistent performance is due to not knowing the 3 critical strategy stats. To overcome this challenge and construct sustainable, scalable and reproducible strategies in a quantitative manner, the Smart Money Framework was developed by the quants in the 1960s. With this framework we will have the 3 critical stats to help us construct optimal entries, stop loss and exits. When this is further combined with volume, our probability of capturing the bigger runners increases. All of the above will be explained further in detail by the presenter.
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