I have set the stop at the up-side b/e level and will shut down the trade if we get there.

Blog dedicated to ETF and Index option trading strategies using credit spread and money management.

On 03/05 I got emotional about hanging on to the down-side two months in a row and decided it would not happen again. So I went to work cutting PUTs and re-opened 1/2 of the CALL spreads. This in hindsight was the biggest mistake: I didn’t evaluate a new volatility cone when I added and adjusted the trade, look at the new volatility cone after my adjustment, you’ll see the market snapped back up 1.5x st. deviation, this time to the up-side.
3) So, when the market snapped back up, I had the CALL spreads and they knocked me out. Now that I learned this lesson, my decision is to no longer make adjustments on the High-Probs, I’ll discuss it with Dan next week. My plan from now on is to set them and take the spreads at .10c or close the trade if it gets down by 1.5x the cashflow. I tested this and looked at the Volatility Cones for the past 5 years, this should work about 75% of the time.
What did I learn?
1) Trust the probabilities
2) Don't chase the price
3) If and when I adjust any trade, look at the new Volatility CONE before doing so
4) Do not let previous month's loss to take me out of my plan. My original plan for this trade would be working right now
What will I do next?
1) Cut back in size untill I can re-gain my self-confidence
2) Stop trying to adjust HP condors, work with 1.5x the cashflow as the stop and that's it
3) Go over the trade with Dan for his feedback.




The tree would have told me "do nothing" by a margin of 10 to 1.
Let me explain how the tree works:
1) The first 2 nodes are the decisions you are considering
2) For each decision you make, there are events and probabilities and pay-off associated with them. In the example above, if I close the CAL spread, I'm left with 3 possible events: OIH goes beyond 95, Stays between the strikes, or goes bellow 58. Then let's look at each event and its respective probability and pay-off:
a) There is 15% probability that OIH will go beyond 90, causing a loss of -284
b) There is 82% probability that OIH will stay between the short-stikes, causing a profit of $75
c) There is 3% probability that OIH will go bellow 60, causing a loss of -264
Repeat the process for the "Do Nothing" decision, and update the values, because the probabilities are the same regardless of what you do.
Finally, the tree simply weights the risks/rewards and probabilities and spits out the path that is most likely to give you the best rewards. In this case, I used all probabilities and values based on Friday before expiration.
TOS is great because it calculates the probabilities of pricing expiring beyond these limits and where your profit-loss would be. I'm consdering purchasing the decision-tree add-on for excell to help me on further exploration. What do you think? Have you done something like that for trading? I'm waitting for comments/feedback.