I built some NLP infrastructure, as part of a larger project I'm working on. Two bits I was fairly pleased with were 1. Something that takes a line-chart and t

I built some NLP infrastructure, as part of a larger project I'm working on. Two bits I was fairly pleased with were 1. Something that takes a line-chart and turns into a word narrative of what the graph is describing. https://towardsdatascience.com/financial-storytelling-using-time-series-classification-185094f80db5 https://towardsdatascience.com/financial-storytelling-using-... 2. Sentiment-tagging (positive/negative) for financial news. Personally, I don't believe there's a lot of alpha to extract from this, because news usually lags market information. But A LOT of people believe differently, and this article shot up on relevant Google searches, way ahead of academic papers or other sources of authority. https://towardsdatascience.com/a-new-way-to-sentiment-tag-financial-news-9ac7681836a7 https://towardsdatascience.com/a-new-way-to-sentiment-tag-fi...