Add training workflow, datasets, and runbook

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+Finding Mispriced Options    • 155
+can extend indefinitely into the future and that is probably a lot closer to 
+representing actual market expectations for the forward volatility (and, by 
+extension, the range of future prices for a stock). Once we have this BSM 
+cone—with its high-low ranges spelled out for us—we can compare it with 
+the best- and worst-case valuations we derived as part of the company 
+analysis process.
+Let’s look at this process in the next section, where I spell out, step by 
+step, how to compare an intelligent valuation range with that implied by 
+the option market.
+Note: Data used for Oracle graphing example:
+Expiration Date Lower Middle Upper
+7/25/2013 29.10 31.86 32.75
+8/16/2013 22.00 32.00 33.50
+9/20/2013 19.00 32.00 35.00
+12/20/2013 20.00 32.50 37.00
+1/17/2014 19.00 32.50 37.20
+1/16/2015 23.00 32.30 42.00
+Here I have eyeballed (and sometimes done a quick extrapolation) to try 
+to get the price that is closest to the 84-delta, 50-delta, and 16-delta marks, 
+respectively. Of course, you could calculate these more carefully and get 
+exact numbers, but the point of this is to get a general idea of how likely the 
+market thinks a particular future stock price is going to be.
+Comparing an Intelligent Valuation  
+Range with a BSM Range
+The point of this book is to teach you how to be an intelligent option investor 
+and not how to do stochastic calculus or how to program a computer to 
+calculate the BSM. As such, I’m not going to explain how to mathematically 
+derive the BSM cone. Instead, on my website I have an application that will 
+allow you to plug in a few numbers and create a graphic representation of a 
+BSM cone and carry out the comparison process described in this section. 
+The only thing you need to know is what numbers to plug into this web 
+application!