Trading signals from Alternative Data and Artificial Intelligence

    If the digital popularity (between consumers and / or investors) of a listed company rises or falls significantly and / or its sentiment changes, the stock will move.
    Thanks to Artificial Intelligence, FinScience’s Alternative Data Platform calculates values ​​and changes in companies’ digital popularity and sentiment and warns you promptly.

    Main indicators of FinScience Platform

    Global digital popularity (DPV)

    Measures the total popularity on the web, including the consumers, of a listed company

    Investor digital popularity

    Measures digital popularity exclusively in financial contexts

    Sentiment

    Measures how the company is perceived. can be positive, negative or neutral

    Every day we process more than 1 terabyte of alternative data

    Alternative Data is non-traditional, truly “large” and often unstructured data that come from digital environments such as social networks, blogs, forums, e-commerce platforms, maps, …
    The AI ​​applied to Alternative Data generates indicators and predictive signals that can be used to make investment decisions, enhancing traditional data (financial statements, quarterly reports, stock prices or trading volumes).

    Alerts by FinScience enhance your investment decisions

    Our AI-based alert system captures changes in:

    digital popularity in both consumer as well as financial environments

    sentiment

    traditional financial metrics

    related to listed companies, trends and specific themes of investments.
    We improve your readiness to detect and to respond to positive or negative anomalies.

    FinScience collects emerging signals

    FinScience extracts and weighs information before it becomes breaking news. You can spot opportunities ahead of others because you have immediate access to weak but emerging signals.

    The weak signal is apparently random or unrelated information which, however, comes from an influential source. Initially it appears to be background noise but can be recognized as part of a relevant model by observing it from a different perspective or linking it with other information.
    (source: MIT Sloan Review).

    The FinScience Platform discovers, measures and monitors

    The power of AI and the experience of a team of analysts to:

    monitor specific companies or securities

    identify trends before they explode

    do stock selection

    give insight to micro topics and phenomena

    Example of stock selection: The US elections

    Alternative Data allows to identify the most relevant companies in new sectors or emerging trends or risks and opportunities related to important events.

    The US Presidential election has always been an event of great impact on the financial markets and the global economy. However, those of November 2020 occur at a time of strong divisions and socio-economic difficulties.

    The indicators of the FinScience Platform allow you to identify the industry sectors and securities which have a presumable greater impact, both positively and negatively, in case of Trump’s or Biden’s victory and their respective positions related to the themes of the election campaigns.

    The FinScience Platform discovers, measures and monitors

    The power of AI and the experience of a team of analysts to:

    monitor specific companies or securities

    identify trends before they explode

    do stock selection

    give insight to micro topics and phenomena

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