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signal manager: BISF

overview

track record:
AUM / AUA:
Up to USD 10 million
model types:
Alternative Data
asset classes:
main office:
Switzerland

description

Founded in 2019 by one of Europe's most experienced CFAs, BISF brings exceptional innovation to the quantitative financial sector.

BISF uses AI and machine learning to identify leaders within specific technology sectors around predefined themes. By accessing patent data, industry publications, and scientific articles, BISF's technology determines future winners in the renewable energy, decarbonization technology, and distribution sectors.

There exists a proven link between innovation and growth. Patents offer an objective measure of the innovative capacity of the company publishing them. BISF's AI determines the critical technologies behind a given sector and then combs through patent databases globally to identify the companies behind them.

BISF's' data and models predict the long-term viability of the companies that pop up on its radar. The output data blends perfectly as an uncorrelated alternative to traditional quantitative modeling.

Due to the long-term nature of this data, SYGNAL does not publish BISF's raw data on its platform. However, you can view a sample of the recombined data with risk-managed momentum models.

Don't hesitate to contact us if you want to learn more about BISF, its processes, and its raw data.

Signal Models

Name Model Asset classes Time horizon Direction Frequency
US Renewable Energy Momentum Recombined Equity Diversified Long Daily
WHAT YOU NEED TO KNOW ABOUT THE SIGNALS

Our signals ("the Signals") are based on mathematical or statistical models, which academics and practitioners use in the context of financial markets. For instance, they give an indication for a certain trend, a relative valuation or a price pattern. Our Signals are typically sourced from leading practitioners like professional quantitative research firms. Before accepting a Signal to the platform, we analyse the quality and characteristics of the historic signal time series and assess the quality of the person, team or firm supplying the Signals. Despite our best efforts, we can give no guarantee as to the future quality of the Signals and the providers of the Signals (Signal Managers). Signals, which might have been value adding in the past, might not be value adding in the future, due to a changing market structure, changing market inefficiencies, changes in the model methodology and many other reasons.

A Signal must therefore NEVER be used as the sole input or trigger for a trading decision. It can only be regarded as one of many input factors in making your own investment decision.

You should therefore treat a Signal similar to Price / Earnings information of a stock: It can be a helpful information to evaluate the attractiveness of a stock or another financial instrument, but it is only one piece of information. You will need additional information before you can make a sound investment decision.

SYGNAL therefore excludes all liability related to the Signals or any other services provided by us or any related party. Any use of the Signals, in whatever context or way, will be at your sole responsibility and YOUR COMPLETE OWN RISK.

You must fully understand and accept these terms before using our services.

SYGNAL

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