You may see an options strategy with good returns. But how can you get more confidence in the results?

One way is to acquire the rules for the strategy or deduce the rules from the list of trades.

One such strategy I saw that had interesting returns was from the site https://www.smartoptionseller.com/track-record

Here were the results posted:

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These results look pretty good. I can tell right off that he has some filtering of trades that he does not explain.

There is an interesting way he is rolling losses. When the loss reaches a certain amount he exits the original trade. It looks like he will find an option that has a similar premium to the one just exited. He is changing the rules for finding options when he is rolling. We do not have this feature in the online backtester (we do in the backtest API).

I did a quick backtest of the smartoptionseller.com strategy based on the trades record. I used the stocks listed in 2019, selling a put 100 days out with a delta of .05, minimum price of $0.20 and exiting when the price fell below $0.03 or when the loss was over 400%. Here are the results:

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Strategy Win Rate 91.6%

The results of my backtest we reasonably close to the results posted on the smartoptionseller site. 

I decided to test my version of this strategy. I tested some other rules and here's a good set I found:

  • Using the same symbols in the graphic above
  • Days to expiry 75 (a little shorter than smartoptionseller)
  • Delta of the short put 0.025 (farther out of the money)
  • I used a spread yield (option price / stock price) of -0.25%
  • Max ask price implied volatility of 50%
  • Min bid price of $0.075

Results:

null

 

Strategy Win Rate 97.9%

These results have better stats.

Here is a link to the backtest.

CFTC rule 4.41 - Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.

 

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