This is how our system notify about the US market correction 2 days before it happens
After a 5% correction in the US market, we analyzed our system to see if we could know before it happens
Our system can generate market, sectors, industries, and ETFs event-driven score based on the aggregated events of the companies within it.
The recent market correction was correlated with our model; therefore, our users were notified of the changes in the market on Oct 08 while the correction started on Oct 10. On Oct 07, the US market event-driven score was 0.76 and on Oct 08 the score fell to 0.63, and 0.58 on Oct 09. The market correction started on Oct 10 and caused a 5% correction to date.
(The event-driven score is scaled between 0-1 where bellow 0.5 points to a bearish event-driven score based on events during the filtered period, above 0.5 points to bullish event-driven score) clicking here to trial our system
We can see that the US market score between Oct 07-09 was down from 0.76 to 0.58 chart predict the fall before it happens
In today’s rapidly changing environment it is essential to be able to track corporate events such as M&A, new deals, partnerships, ESG, regulatory decisions, management and stakeholders changes, expansions to new market or product categories, new products, price changes, new agreements, FDA decisions, financial reports related events, macroeconomics, and much more. It is also important to analyze the data on different levels such as markets, sectors, industries, companies, and ETFs to get a clear view on what is the current position of each component of the market.
Tracking equity or other asset events can add an edge to new investment decisions, finding new opportunities monitoring portfolios, mitigating risks, and acting as a complimentary analysis alongside the traditional analysis.
Using big data and NLP technologies to capture alpha by collecting, structuring, and revealing events from news articles, press releases, and financial social media.
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