kmcintyre![]() Legend ![]() ![]() ![]() ![]() Posts: 410 Joined: 8/30/2007 Location: Valley Center, CA ![]() | I trade options that are very liquid. One measure of the underlyings option liquidity is the existence of weekly options and nerrow strike increments. $0.50n for underlyings under $100. $1 increments for underlyings between $100 and $250. etc. I manually compose my list of stocks and ETFs that I want to trade. I am also very particular about the deltas of the legs I buy and sell, and the DTE of the chains I pick from. I have spent significant time researching which deltas and DTEs provide the largest Profit Per Day (PPD) and Expectancy. Option trade plans use the concept of degree of money-ness and degree of expiration. The "ddegree" is based on whatever chains and strikes the options module believes should be available. (or at least that is how I read the Users Manual...) I have nevber embraced option trade plans because I do not think I can control the delta and DTE of the trades being entered. So am I wrong? Is there a way to tell an option trade plan to sell an iron condor, closest to 50 DTE, using Monthlies (not weeklies). Sell the strike closest to 30 delta and buy the strikes closest to 5 delta? (Well, I know there is not. So the question really is, can I use a TP to place trades equivalent to the above? And how reliably will the TP model the trades I want to take?) If the TP can't model the entry conditions I am looking for, than I can't use the options module to simulate Strategy returns for use in the GA Signals block. Thanks for any insights. Cheers |