RISE Wealth Technologies announces best ever monthly performance for its flagship systematic strategy: Volatility Special Opportunities Program (VSOP)
Munich - April 2, 2020. While major financial markets have dropped, RISE Wealth Technologies, the Munich-based AI investment technology firm — has announced the best ever monthly performance yet for its flagship VSOP strategy.
Up in March by 23.21% and up by 18.83% for the year, the VSOP program entails a systematic multi-strategy approach in the S&P 500 index volatility market with a real-money track record dating back to July 2016. Specifically, it is composed of a Balanced Portfolio consisting of S&P 500 futures and treasuries with a duration risk of circa five years. It also trades overlay strategies on situational patterns. With €25 AUM, the strategy has a further €500mn allocation planned for June.
Rise VSOP YTD Performance, as of March 31, 2020
Commenting on the performance, Stefan Tittel, CEO and Co-Founder, said:
“At a time where larger quant funds are struggling to adapt to chaotic markets disrupted by coronavirus, our strategy’s performance continues to provide robust returns ahead of expectations.
AI and machine learning are important components of this by helping in the research and development of the diversified strategies we deploy and ensuring that our trading strategies can operate with faster changing and wider parameters than with purely human involvement.
Importantly, the strategy has been assisting anxious investors through the provision of downside protection. That said, it is worth noting that it is also able to provide alpha in normal market conditions, and not just during times of extreme dislocation as we’re currently experiencing.”
About RISE Wealth Technologies
RISE Wealth Technologies is an AI investment technology firm based in Munich, Germany. Since the beginning, our firm has been focusing on a systematic, algorithmic driven investment process underpinned by proprietary technology and quantitative approaches such as machine learning.
Founded in 2012, with the premise to develop a systematic, algorithmic driven investment process that generates sustainable risk-adjusted returns for its proprietary trading activities, the firm quickly started to focus on machine learning and artificial intelligence methodologies laying the foundations for today’s competitive edge in the market.
