Alexandria’s Global Commodity dataset is the application of their proprietary algorithms on commodity-related news. Each article is summarized into a record of structured data which includes the type of commodity, the topic or news event, and the overall sentiment of the article based on their AI analyst’s assessment on how it will affect that commodity (positive impact, negative impact or neutral/no impact).
- Firm Information
- Alexandria Technology creates proprietary machine learning algorithms that classify text for entities, events/topics, sentiment, and more. Launched in 2012, Alexandria’s classification systems have been trained by research analysts and portfolio managers, creating an AI analyst that reads text like a human but performs with the speed and consistency of a machine.
- Community Discussion
NVDA - 3 19.png NVDA%20-%203%2019 NVDA - 3 19.png 1756×570 63.3 KB
Weekly Sentiment 3-4.jpg Weekly%20Sentiment%203-4 Weekly Sentiment 3-4.jpg 780×1084 173 KB
FB.png FB FB.png 1909×551 60.3 KB
weekly sentiment 25.jpg weekly%20sentiment%2025 weekly sentiment 25.jpg 780×1084 172 KB
PCG.png PCG PCG.png 1902×586 59.2 KB #PCG has been blamed for starting the massive wildfires in California and has been on a huge run since the company officially filed for bankruptcy in late January. Recently, Citi Upgraded PG & E, raising the price target By 200%