Posts filed under “Quantitative”
My friend Paul has a chart from BP’s data, Visualizing Global Oil Markets: 1965-2007 (not my favorite chart porn in the world).
Lately, I have been greatly enjoying the way numbers are depicted in a visual context, vis Visualizing Data. The site tends towards an eclectic depiction of data, which provides different ways of thinking about numbers, modeling, and the world.
I find it to be a fascinating exercise. This approach has very much colored how I approach and contextualize data. Some recent examples from the site:
Apple (AAPL), Google (GOOG) and Baidu (BIDU) — three of the NASDAQ FOUR HORSEMAN – have been coming up gimpy since their FusionIQ timing sell signals (triggered at much higher levels several weeks ago).
These stocks have fallen precipitously since those Sells.
Only Research in Motion (RIMM) — which gapped open strongly yesterday — acts well. The other three horsemen stocks have clearly broken their uptrends, and are in the process of being repriced. We point this out because trading highly volatile names like these can be dangerous especially if one doesn’t have a Sell Discipline.
Unbiased, indicator-driven trading signals can help make you a better investor. Whether its based on technicals, fundamentals, valuation or quantitative research, having a non-emotional layer to your investing/trading plan is always helpful.
I am biased towards our signals (FusionIQ), but any objective timing method that would have gotten you out of the way in these 3 names weeks ago is a good thing — you would have avoided a lot of pain.
Four Horseman of Nasdaq
There are lots of things that investors believe which I find perplexing. The Superbowl indicator is one, but the oddest to me is the so-called Fed Model, also known as the IBES Valuation Model. It is not that the Fed model is so terribly wrong — it has been both right and wrong over the…Read More