Trading and predictive analytics

I attended today’s class in the course Trading Strategies and Systems offered by Prof Vasant Dhar from NYU Stern School of Business. Luckily, Vasant is offering the elective course here at the Indian School of Business, so no need for transatlantic travel. The topic of this class was the use of news in trading. I won’t disclose any trade secrets (you’ll have to attend the class for that), but here’s my point: Trading is a striking example of the distinction between explanation and prediction. Generally, techniques are based on correlations and on “blackbox” predictive models such as neural nets. In particular, text mining and … Continue reading Trading and predictive analytics — how it worked out

Following up on my earlier post about the use of for polling in class, here is a summary of my experience using it in a data mining elective course @ ISB (38 students, after four sessions): Creating polls: After a few tries and with a few very helpful tips from a PE representative, I was able to create polls and embed them into my Power Point slides. This is relatively easy and user-friendly. One feature that is currently missing in PE, which I use a lot, is the inclusion of a figure on the poll slide (for example, a … Continue reading — how it worked out