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I’ve been doing something similar for investing in stocks and it has worked well. I’m exploring building an NLP-powered version of this (based on crawling news
by cl42 6y ago
I’ve been doing something similar for investing in stocks and it has worked well. I’m exploring building an NLP-powered version of this (based on crawling news events). If anyone is interested in chatting or collaborating, let me know. :)
- arthurcolle 6y agoI'm working on this space as well. Would love to collaborate.
- cl42 6y agoExcellent! I just emailed you.
- carsonkahn1 6y agoDitto - side project. Can you add me to the thread? carson@carsonkahn.com / carsonkahn.com/who
- jacques_chester 6y agoAnecdote time: an NLP specialist I once worked with told me about some research he did into determining the "goodness" or "badness" of press releases and SEC filings. Buy on good news, sell on bad news, hopefully fast enough to beat others to it. After a great deal of crunching and study he said they did come up with a model that could do it reasonably well. Then realised it could be replaced with a simple rule: Are there a bunch of numbers at the top? Good news. Are the numbers buried way down? Bad news. Another simple rule, by the way, is timing vs executive compensation events. If there's an announcement just before a big block of options or RSUs are vesting, then it's good likely to be good news. If it's being posted far away from vesting dates, then it's likely to be bad news.