Developing a naked puts trading system

Idiots trade naked-and just because QE has held the fake markets up for so long does not mean they won't crash and hit the skids for a decade or two. The global economy is BS- so much debt and money printing nobody knows what's real any more, and the market does not need another who dilutes option prices even further. Do something intelligent and productive
https://www.researchgate.net/publication/228289846_Why_are_Put_Options_So_Expensive

I don't think you can blame QE for this. And if OP can find a profitable way to trade naked puts, I would be celebrating with him knowing it can be done.
 
Naked isn't the issue - it's how far out of the money that one is selling and exposure to gamma that is.

The $PUT index is based on ATM 30-day puts with proceeds placed into treasuries. Last I checked it had a better sharpe than SPX.
 
Instead of naked puts, try selling vertical spreads. Less profit, but time works for you. Maybe the same system that doesn't work with naked puts would work with vertical spreads...
I second this approach. Challenge is to set a large number of trades to distribute the risk. Needs a large pipeline and a low cost broker.
Wouldn't like going into a naked trade without position sizing. It is too risky.
 
Consider this more of an academic exercise about trading system development than anything else for now. If the results look good then I'll think about viability.

RedDuke and ironchef--I have option analytics software that gives me backtesting data to 2001.

Handle123--requirements are significantly lower in a margin account.

I want to focus specifically on how to conduct the backtest and I'll fill in a couple blanks. First, I will enter on every trading day because I want a large sample size. Second, I will sell the first put under X delta to keep probability of profit constant throughout the 15+ year sample. Third, I will exit when premium drops under $0.30 or just before the close on the final trading day. Fourth, this will be a daily backtest and I will collect all data at 15:30 ET.

Any further suggestions would be appreciated.

Have you tried Quantopian?
 
I second this approach. Challenge is to set a large number of trades to distribute the risk. Needs a large pipeline and a low cost broker.
Wouldn't like going into a naked trade without position sizing. It is too risky.

What do you mean by position sizing?
 
Position sizing = Not having too many eggs in one basket and knowing what is the maximum damage that can be caused to a single egg.

Some rules could be:

(1) Using up to 50% of total available margin = Overall Position Size Limit, and,

(2) Limiting maximum loss per trade to less than 0.1% to 0.5% of Overall Position Size Limit.
  • For Nakeds establishing maximum loss is tricky. One could establish that max loss to be 2 Standard Deviations away from current price.
  • For defined risk trades this is not an issue.
What was your definition of position sizing?
 
...

(2) Limiting maximum loss per trade to less than 0.1% to 0.5% of Overall Position Size Limit.
  • For Nakeds establishing maximum loss is tricky. One could establish that max loss to be 2 Standard Deviations away from current price.
  • For defined risk trades this is not an issue.
What was your definition of position sizing?


Now you're getting at the reason I started this thread. Is there a best way to handle this?

For starters, what about selling one contract every day?
 
drMark27.. Put that criteria (selling 1 contract every day) to a backtest first, then add whatever filters you have on the same strategy (ie selling puts). Taking that first step is a good way to establish a baseline of whatever strategy you are trying to implement. After that, start adding layers to your criteria to enhance trade yield . As an example, you probably don't want to be selling puts right after a ticker just violated a 50d moving average? Look out below! ... stuff like that.. I just finished an article on my site that did exactly what you are contemplating.. selling 1 slightly otm put spread on the QQQ at 12 IV... won 80% of the time ... but....
 
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