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Research

Better Data Delivers Better Performance

Much of the data that exists in digital asset markets is “noise” and has limited impact on trading performance. By leveraging our proprietary deep learning tools, we are able to synthesize uncorrelated data points to develop accurate and timely trading overlays through our constant research and development of quantitative trading models.


Given the poor quality of data available in digital asset markets, our proprietary data analytics tools further provide us with an unparalleled advantage in sifting out outcome-oriented data and our deep learning tools ensure this data can then be transposed into trading ideas.



Research Methodology

Researchers and automated algorithms are responsible for identifying market inefficiencies and trading opportunities and to assess trading strategies for efficacy and consistency.

We take an inductive approach towards our trading research and delve deep into the underlying blockchain technology of the digital assets we actively trade.



Computerized Modelling

All trading ideas must be capable of computerized modeling to ensure that they can be deployed as automated trades.

Formal computerized models control all aspects of trading, including directional positioning in the markets, risk exposure for every individual trade position and risk allocation within the overall trading portfolio.



Quantitative Expression

Trading strategies must be capable of being quantitatively expressed, forcing careful thought about the precise nature and characteristics the strategy is designed to capture.

No trading strategy is dependent on any single “key” person but represents the synthesis of several trading strategies, with vital inputs from stakeholders and stress-tested as well as backtested to ensure resilience in operation.

Disciplined adherence to well-researched strategies and using superior data collection and interpretation is inherent in the research and development process, ensuring objectivity and a commitment to delivering optimal performance.

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Important Risk Information



The information provided on this site is for informational purposes only. It is not to be construed as investment advice or a recommendation or offer to buy or sell any security. Prospective clients should always obtain and read an up-to-date product and/or services description or prospectus before deciding whether to invest. Any views expressed herein are those of Novum Alpha SPC (“the Company”) are based on available information, and are subject to change without notice. Novum Alpha SPC is a registered mutual fund under Section 4(3) of The Mutual Funds Act (2021 revision to carry on mutual fund business in or from the Cayman Islands, subject to the provisions of the aforementioned Act with Registration Number: 1890405.


There are no guarantees regarding the achievement of investment objectives, target returns, or measurements such as alpha, tracking error, asset weightings and other information ratios. The views and strategies described may not be suitable for all clients. The Company does not provide tax or legal advice. Prospective subscribers should consult with a tax or legal advisor before making any investment decision. Investing in any investment product entails risks and there can be no assurance that the Company avoid incurring losses or achieve any of a prospective subscriber’s investment goals.


Performance quoted represents past performance, which is no guarantee of future results. Investment and principal value will fluctuate, so you may have a gain or loss when assets are sold. Current performance may be higher or lower than that quoted product’s expenses and other liabilities, and such product may be unable to meet its investment objective