Anyone Exploring Automation for Options Premium Capture?

[jamesonds]

Hi all,

I’m working on a side project involving automated weekly premium collection on index options (SPX), using quant-style filters. The goal is to create an institutional-grade model with defined risk and measurable edge.
I recently came across a site that outlines their approach pretty well focused on SPX spreads with strict automation:

 

[Optionstrader]

I’ve been running a fully automated SPX spread strategy for a while, and one thing I’ve learned is that the tech side is actually the easy part — the real edge comes from the trade selection rules and risk controls behind it. Weekly premium capture works best when your position size is tied to a fixed % of account risk (not premium collected), and your entries avoid chasing implied volatility extremes.


I also avoid the temptation to over-optimize on backtests — a ruleset that’s robust across different volatility regimes will outperform a curve-fit system when the market shifts. For example, my model uses ATM or slightly OTM credit spreads with defined risk, managed via delta and P/L triggers rather than time alone.


If you want to see an example of a similar institutional-grade approach that’s been live for years, Advanced AutoTrades has public stats on an SPX credit spread strategy that runs on strict automation. It’s a good benchmark for how rules-based execution can remove the emotional bias from premium selling.

 

[jamesonds]

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