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News stories glue portfolio managers and analysts to their screens. Each story feeds into a positive or negative bias. What if I could automate that? What if I could read everything as it comes out and sort it according to positive and negative news for a company? I could react systematically, quickly and across more stocks. I might even replace the role of the analyst.
Machine-readable news starts with exactly this economic intuition.
Disaffection with existing quantitative trading signals has brought it to investor attention. Advances in linguistic processing and the steady decline in computing costs have made it better and cheaper than before. And a raft of academic and industry papers have guided the way. Read the rest of this entry »
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