The system uses two data sources: stock price changes and news articles. In addition, thematic modeling and sensitivity detection algorithms are used. The model was created specifically for the Russian financial market.
The news is compiled from the largest Russian media that writes about business, finance and politics. Keywords and their tones are highlighted: positive, negative, neutral. The method also tracks changes in stock prices of Russian companies over time. As a result, the system predicts whether inventories will fall or rise.
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.