Add training workflow, datasets, and runbook

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+Chapter 38: The Distribution of Stock Prices 797 
+models predict; but it certainly means that the buyer of underpriced options stands 
+to benefit in a couple of ways. Conversely, an option seller must certainly concentrate 
+his efforts where options are expensive, and even then should be acutely aware that 
+he may experience larger-than-expected stock price movements while the option 
+position is in place. 
+So what does this mean for option strategies? On the surface, it means that if 
+one uses the normal (or lognormal) distribution for estimating the probability of a 
+strategy's success, he may get a big move in the stock that he didn't originally view as 
+possible. If one were long straddles, that's great. However, if he is short naked 
+options, then there could be a nasty surprise in store. That's one reason why extreme 
+caution should be used regarding selling naked options on stocks; they can make 
+moves of this sort too often. At least with indices, such moves are far less frequent, 
+although the Dow drop of over 550 points in October 1997 was a move of seven stan­
+dard deviations, and the crash of '87 was about a 16-standard deviation move - which 
+Professor Mark Rubenstein of the University of California at Berkeley says was some­
+thing that should occur about once in ten times the life of our current universe! That's 
+according to lognormal distribution, of course, which we know understates things 
+somewhat, but it's still a big number under any distribution. 
+There are two approaches that one can take, then, regarding option strategies. 
+One is to invent another method for estimating stock price distributions. Suffice it to 
+say that that is not an easy task, or someone would have made it well-known already. 
+There have been many attempts, including some in which a large history of stock 
+price movements is observed and then a distribution is fitted to them. The problem 
+with accounting for these occasional large price moves is that it is perhaps an even 
+more grievous error to overestimate the probabilities of such moves than to underes­
+timate them. 
+The second approach is to continue to use the normal distribution, because it's 
+fast and accessible in a lot of places. Then, either rely on option buying strategies 
+( straddles, for example) where implied volatility appears to be low - knowing that you 
+have a chance at better results than the statistics might indicate - or adjust your cal­
+culations mentally for these large potential movements if you are using option selling 
+strategies. 
+THE PRICING OF OPTIONS 
+The extreme movements of the fat tail distribution should be figured into the pricing 
+of an option, but they really are not, at least not by most models. The Black-Scholes