Syncytia's team is composed of experts in quantitative investment strategies and information technology. We offer dedicated and ready to use investment strategies. Our solutions fit for the needs of Hedge Funds, Pension funds, Family Offices, UCIT portfolio managers, private investors and financial advisors.
We cover the main asset class including stocks, ETFs, public funds, futures, and fixed income.
Systematic Strategies
Our systematic investment strategies take the best of 6 complementary expertise to increase performances stability in the client’s portfolios.
Q
We develop optimisation algorithms which define the right asset weights to apply in a portfolio to fit with investment constraint of the investors and optimise the control of the different risks (signals risk, factors risk, risk premia, mathematical risk, asset risk, portfolio volatility, etc.) to increase the stability and the portfolio performances on long term basis.
T
We develop technologies which analyse the technical signals on the financial instrument to find the worst and best performing assets in the restricted investment universe. We include various ratios and historical prices structures to find out short term market behaviour in groups of commons assets and in independent assets.
D
We use data science techniques to find groups of assets with similar behaviour on the markets on a very large number of assets. When groups have been identified, we define the global long-term market behaviours of the groups and middle term behaviour in comparison with the global market the groups. Our quantitative analysis are completed by macroeconomic analysis.
M
In few cases and when used intelligently, machine learning can help to improve investment strategies. We don’t believe “Machine learning” can be a pertinent strategy by itself but it can be used to find quickly signals in the markets that we could find with years of experiences. That’s why we use machine learning to analyse financial data with extra-care and we couple those technologies with additional analysis.
R
Risk is in the heart of our solutions. Our solutions analyse regularly the present and historical behaviour and composition of the portfolio. Analysis can be generated automatically or on demand. The analysis takes in consideration the objective of the portfolio strategies and the market conditions to detect unexpected behaviours and propose to correct the portfolio allocation to be in line with the investor needs.
F
We use the basics of fundamental analysis in our systematic approach by including quantitative analysis of mains fundamental ratios which drive partially the short term and mid-term performances of large capitalisations.
How we work
We focus on the client needs and we guide our clients who are less familiar with robot advisor technology. Every client has specific needs in term of investment philosophy or operational setup. It is important for us to explain what are our solutions and define clearly the most appropriate solutions for our client’s needs. After defined how our services can fit with our client expectation, we do one proposition of dedicated solution which will be validated by our client. Then, we produce a reliable and scalable solutions which honours the validated proposition. Finally, we perform IT tests in the client working environment and train our client to use our tools. When the client is happy with our solution, we activate it in the production environment.
01 We define with our client the investment and operationnal needs and constraints.
02 We propose some investment solutions and present the adventages of our differents solutions.
03 We develope in-house a scalable solution and validate the final version with our client.
Business Environment Overview
We offer more than just investment strategies. We want a smooth integration of our solutions in your business environment. For this, we take extra-care of the following elements:
