Add training workflow, datasets, and runbook

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+468 Part IV: Additional Considerations 
+TABLE 28-6. 
+Computation of expected profit. 
+Chance of Being Profit at Expected 
+XYZ Price at at That Price That Price Profit: 
+Expiration (A) (B) (A) x (8) 
+Below 30 20% -$200 -$ 40 
+31 10% - 100 - 10 
+32 10% 0 0 
+33 10% + 100 + 10 
+34 10% + 200 + 20 
+Above 35 40% + 300 + 120 
+Total expected profit $100 
+As is readily observable, the selection of what percentages to assign to the pos­
+sible outcomes in the stock price is a crucial choice. In the example above, if one 
+altered his assumption slightly so that XYZ had a 30% chance of being below 30 and 
+a 30% chance of being above 35 at expiration, the expected return would drop con­
+siderably, to 25%. Thus, it is important to have a reasonably accurate and consistent 
+method of assigning these percentages. Furthermore, the example above was too sim­
+plistic, in that it did not allow for the stock to close at any fractional prices, such as 
+32½. A correct expected return computation must take into account all possible out­
+comes for the stock. 
+Fortunately, there is a straightforward method of computing the expected per­
+centage chance of a given stock being at a certain price at a certain point in time. This 
+computation involves using the distribution of stock prices. As mentioned earlier, the 
+Black-Scholes model assumes a lognormal distribution for stock prices, although 
+many modelers today use nonstandard (empirical or heuristic) distributions. No mat­
+ter what the distribution, the area under the distribution curve between any two 
+points gives the probability of being between those two points. 
+Figure 28-1 is a graph of a typical lognormal distribution. The peak always lies 
+at the "mean," or average, of the distribution. For stock price distributions, under the 
+random walk assumption, the "mean" is generally considered to be the current stock 
+price. The graph allows one to visualize the probability of being at any given price. 
+Note that there is a fairly great chance that the stock will be relatively unchanged; 
+there is no chance that the stock will be below zero; and there is a bullish bias to the 
+graph - the stock could rise infinitely, although the chances of it doing so are 
+extremely small.