What We Provide
The Problem is old. We endeavored to approach it afresh, with a new method, in a new spirit, from a new point of view.
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The Curtains in the House of the Metaphysician
Wallace Stevens
1919
Wallace Stevens
1919
Riverside is a personal data firm with a community-based structure to connect new investors and introduce them to analytics. The company could collect some ad and subscription fees as revenue. But also, with considerable growth in our user base expected, Riverside can reap the benefits of big data and their information.
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“NOT TYPICAL”
We Different The Riverside stock app will be treated like a community, not just an assortment of fancy math analytics. It seeks to represent the stock as it is seen by the community of investors; based on sentiment and market momentum, as well as some fundamental metrics and analyst opinions. Reviewing each stock, and giving it a rating, we will indirectly have access to the supply and demand.
Stock By using top comments for the stock and community based sectors; the stock are treat as normal as any regular product, restaurant; instead of some complicated fancy thing. Since these days people tend to have short focus and would less likely to look into detailed comments whereas Riverside would provide results in a simple star rating system based on our algorithm and calculation.
Data from a wide range of datasets is used, provides us with sequence and structure properties, and much more. We integrate this data and apply our algorithms and computational models to extract important information about the stocks. Fundamental data forecasting for the different sectors will be implemented through computational algorithms, which will be the trigger for a safety alert which alerts investors of a scenario in which a downturn may be on the horizon.
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