Add training workflow, datasets, and runbook

training_data/curated/text/cfcfd6eae05737562355f0b90fbc8485120add7d4d79c5efde6e0e3d2e8be540.txt

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+Art and Science
+Although this was a very simplified example, it was typical of how a
+profitable week of gamma scalping plays out. This stock had a pretty
+volatile week, and overall the week was a winner: there were four losing
+days and three winners. The number of losing days includes the weekends.
+Weekends and holidays are big hurdles for long-gamma traders because of
+the theta loss. The biggest contribution to this being a winning week was
+made by the gap open on day four. Part of the reason was the sheer
+magnitude of the move, and part was the fact that the deltas weren’t covered
+too soon, as they had been on day three.
+In a perfect world, a long-gamma trader will always buy the low of the
+day and sell the high of the day when covering deltas. This, unfortunately,
+seldom happens. Long-gamma traders are very often wrong when trading
+stock to cover deltas.
+Being wrong can be okay on occasion. In fact, it can even be rewarding.
+Day three was profitable despite the fact that 140 shares were sold at
+$40.50, $41, and $41.50. The stock closed at $42; the first three stock trades
+were losers. Harry sold stock at a lower price than the close. But the
+position still made money because of his positive gamma. To be sure, Harry
+would like to have sold all 560 shares at $42 at the end of the day. The day’s
+profits would have been significantly higher.
+The problem is that no one knows where the stock will move next. On
+day three, if the stock had topped out at $40.50 and Harry did not sell stock
+because he thought it would continue higher, he would have missed an
+opportunity. Gamma scalping is not an exact science. The art is to pick
+spots that capture the biggest moves possible without missing opportunities.
+There are many methods traders have used to decide where to cover
+deltas when gamma scalping: the daily standard deviation, a fixed
+percentage of the stock price, a fixed nominal value, covering at a certain
+time of day, “market feel.” No system appears to be absolutely better than
+another. This is where it gets personal. Finding what works for you, and
+what works for the individual stocks you trade, is the art of this science.