Investment Philosophy
The company invests in the global financial markets using a quantitative and fully systematic approach. Our investment philosophy is based on four major components, with the objective of producing superior risk-adjusted returns for our clients.
Disclaimer: these investment products involve substantial risks of loss.
Investment Process
Thanks to our experience in researching and building new trading strategies, we have refined our proprietary investment process to periodically offer new innovative products to our clients.
1. Data Collection
In the first phase of our investment process we collect data from a variety of traditional and alternative sources. In order to maximize our chances of finding new sources of alpha, we consider multiple datasets, including financial, fundamental, macroeconomic, government, and alternative sources. This allows us to develop a deeper understanding of how financial markets work by testing our hypotheses in a more comprehensive and extensive way in the following phases of our strategy development framework.
2. Data Cleaning
We use proprietary automated algorithms to clean the vast amounts of data at our disposal. Thereafter, our data scientists review and check the automated cleaning procedures to make sure that the data sets are clean and can be used thereafter by our quantitative researchers.
3. Data Analysis
Our quantitative researchers analyze the data sets processed in the previous step using sophisticated and advanced statistical methods in order to find alpha signals. This step is a key differentiator, since alpha it is diffult to find and as a consequence it is important to have an excellent team of quantitative researcher that can identify hidden investment opportunities through vast amounts of data.
4. Backtesting
After the data has been thoroughly analyzed, our quants apply the scientific method to the financial data by testing their hypotheses though backtesting experiments on long time series data spanning multiple decades. By adopting lengthy historical datasets we reduce backtesting bias and increase the likelihood of robustness of our invesment strategies across multiple market conditions.
5. Pilot Test
Once our quantitative research team has found investment strategies that have performed well in backtesting, we test them in a pilot live production environment with proprietary capital for a suitable period of time before offering them to our clients. This step is very important since it increases the probability that the strategy will work as expected in real market conditions, and allows us to have the time to fix potential technological issues before live production.
6. Production
Having confirmed that pilot trading returns are consistent with the backtest and what we expected, our investment team allows our clients to invest in the new investment product.
Disclaimer: these investment products involve substantial risks of loss.
Investment Strategies
Our investment strategies leverage our core competencies in quantitative research. When developing a new investment product, we have the objective of finding innovative investment products that are likely to produce alpha for a prolonged period of time.
Disclaimer: these investment products involve substantial risks of loss.

Quant Global Macro
Our Quant Global Macro investment product deployes our clients' capital systematically on multiple exchanges around the world and all asset classes, including Equity, Fixed Income, Currency, Commodity, and Volatility. The investment strategy targets a constant level of volatility independent of market conditions. The investment program uses sophisticated quantitative techniques and an advanced risk management framework which leverage our expertise in quantitative research and technology.
Quant Global Macro