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Backtester Development (Part 6)

Today I will continue discussion of logic for my revamped backtesting program.

The ‘find_spread’ control branch involves one of four paths:

Motivation for requiring 25-point spreads relates to the fact that 5- and 10-point strikes were not available many years ago when option trading volume was much lower.* Even today, 25-point strikes are regarded as having the most volume and best liquidity. If true (this would be exceedingly difficult to test and may require huge amounts of capital to attain large sample sizes of live trades), then this criterion makes good sense.

Requiring 25-point spreads is not without controversy, however. If I include a penalty for slippage regardless of strike-price multiple, then I probably do not need the 25-point limitation. I think a bigger problem is nonuniform strike density, which I discussed in the fourth paragraph here.

Spread selection proceeds as a nested for loop over dte_list, which now has DTE values of matched strike-price options from the same historical date across increasingly farther-out expirations:

These lists are my solution to the problem of dynamic variables described in Part 4. Rather than initializing multiple sets of variables to hold unnecessary data, data is stored in lists with each element corresponding to a particular DTE option. Once the proper DTEs are determined, corresponding values are then assigned to the only set of pre-initialized variables.

I will continue next time with the ‘update_long’ control branch.

*—2017 – 2021 option volume is shown here.

**—I am using 27 rather than 28 in case of a Friday holiday.

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