Look for some 'Skin In The Game' to find what really works. For example, HFT algorithms use indicators from financial data, news feeds and web scraping, with l

Look for some 'Skin In The Game' to find what really works. For example, HFT algorithms use indicators from financial data, news feeds and web scraping, with lots of encyclopedic and historical context. The scraping needs multilingual NLP and corpus ML analytics to extract facts, meaning and sentiment. There are many bad actors spreading fake news and selfish actors talking their book. Contradictions will occur. Some robust inference is needed until the conclusions can trigger inputs of micro+macro economic models of agents (firms, consumers, workers...), markets and whole economies. The models make predictions and the trading systems execute a strategy to make money from the insight. The whole process is constrained hierarchically by time and resources to deliver value over different horizons. So I wonder what semantic technologies they use?