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Alternative data: Uber not a surprise…

Uber Technologies Inc (UBER) on Monday posted a wider third-quarter loss as costs at the ride-hailing company soared, sending shares down 6.7% in after-hours trading.

Based on Uber’s 3Q event analysis we can see that Uber’s event-driven score is in a downtrend and cross the 0.5 marks to the bearish territory.

In order to find these events, we use big data and NLP technology to search and extract key events that have a positive or negative effect on the company’s performance. Each event was scored based on our model which indicates the direction (positive or negative) and duration (long/short term).

(0>Bearish<0.48-0.52>Bullish<1)

Uber’s costs jumped about 33% to $4.92 billion in the reported quarter. Gross bookings, which include ride-hailing, mobility, food delivery and freight payments before costs and other expenses, rose 29.4% from a year earlier to $16.47 billion.


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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2019-11-04T18:19:44-05:00 November 4th, 2019|case studies, Case study, Uncategorized, Use case|Comments Off on Alternative data: Uber not a surprise