FLEX
Flex Ltd.
stock NASDAQ

You’ve got one legitimate point buried under a lot of overclaiming: OI-based “naive GEX” is a crude proxy, and richer participant/open-close data can improve the inference of who is carrying what. Fine.
The problem is that you keep treating every step after that as if it automatically follows.
Better transaction classification does **not** automatically mean you know the complete economic dealer book. And knowing dealer positioning more accurately does **not** automatically mean the resulting GEX measure has predictive power. And predictive information does **not** automatically mean there is a tradable edge after costs, conditioning and competition.
Those are separate empirical claims.
You literally said that with the CBOE data you can “compile and track actual market maker positions precisely. So no guessing.” That is much stronger than saying the data is better than naive OI. SPX sits inside a much larger ecosystem: futures, ETFs, futures options, FLEX, OTC exposure, structured products, dispersion, variance exposure and cross-hedging. Better visibility into listed SPX flow can absolutely improve an estimate, but it is not synonymous with observing the dealer’s complete economic risk or future hedge demand.
You also seem to oscillate between what GEX supposedly does.
At one point you argue it has predictive power for SPX; elsewhere you correctly say it does not give a buy/sell signal or predict a “pin,” but instead describes biases in how the market may move through certain ranges or times.
That latter claim is much more defensible. But then test **that** mechanism. Show that your richer GEX estimate adds incremental out-of-sample information about conditional volatility, price response, mean reversion/trend amplification, strike-crossing behaviour, or hedge-flow sensitivity after controlling for the obvious state variables.
Simply saying “you’ve only seen naive GEX” is not evidence. The illiquidity exchange makes the inconsistency even clearer.
You said:
“Why would I look for edge where there is none?”
Specifically referring to those illiquid products without obvious hedging mechanisms.
Then when challenged, your position became:
“There are thousands of pieces of data I don’t look at that ‘may’ contain edge. You can’t look at everything.”
Of course you can’t look at everything. Nobody expects you to. But **“I haven’t investigated it” and “there is no edge there” are completely different statements.**
And the Mars analogy doesn’t rescue that. Low liquidity does not imply no edge. If anything, weaker participation, poorer price discovery and limited arbitrage capacity can create larger gross inefficiencies. Whether those survive spreads, impact, capacity and sizing constraints is the actual empirical question.
That is really the recurring issue throughout your replies, you demand evidence from everyone else, but when it comes to your own preferred framework you repeatedly jump from:
**better data → better positioning estimate → meaningful market mechanism → predictive power → tradable edge**
without actually demonstrating each link.
Maybe the richer GEX data really does contain useful information. I’m completely open to that.
But “the real GEX works, you just don’t understand it” is not an argument.
Show the incremental predictive value.

but it's still standing. FULL FLEX

You’ve got one legitimate point buried under a lot of overclaiming: OI-based “naive GEX” is a crude proxy, and richer participant/open-close data can improve the inference of who is carrying what. Fine.
The problem is that you keep treating every step after that as if it automatically follows.
Better transaction classification does **not** automatically mean you know the complete economic dealer book. And knowing dealer positioning more accurately does **not** automatically mean the resulting GEX measure has predictive power. And predictive information does **not** automatically mean there is a tradable edge after costs, conditioning and competition.
Those are separate empirical claims.
You literally said that with the CBOE data you can “compile and track actual market maker positions precisely. So no guessing.” That is much stronger than saying the data is better than naive OI. SPX sits inside a much larger ecosystem: futures, ETFs, futures options, FLEX, OTC exposure, structured products, dispersion, variance exposure and cross-hedging. Better visibility into listed SPX flow can absolutely improve an estimate, but it is not synonymous with observing the dealer’s complete economic risk or future hedge demand.
You also seem to oscillate between what GEX supposedly does.
At one point you argue it has predictive power for SPX; elsewhere you correctly say it does not give a buy/sell signal or predict a “pin,” but instead describes biases in how the market may move through certain ranges or times.
That latter claim is much more defensible. But then test **that** mechanism. Show that your richer GEX estimate adds incremental out-of-sample information about conditional volatility, price response, mean reversion/trend amplification, strike-crossing behaviour, or hedge-flow sensitivity after controlling for the obvious state variables.
Simply saying “you’ve only seen naive GEX” is not evidence. The illiquidity exchange makes the inconsistency even clearer.
You said:
“Why would I look for edge where there is none?”
Specifically referring to those illiquid products without obvious hedging mechanisms.
Then when challenged, your position became:
“There are thousands of pieces of data I don’t look at that ‘may’ contain edge. You can’t look at everything.”
Of course you can’t look at everything. Nobody expects you to. But **“I haven’t investigated it” and “there is no edge there” are completely different statements.**
And the Mars analogy doesn’t rescue that. Low liquidity does not imply no edge. If anything, weaker participation, poorer price discovery and limited arbitrage capacity can create larger gross inefficiencies. Whether those survive spreads, impact, capacity and sizing constraints is the actual empirical question.
That is really the recurring issue throughout your replies, you demand evidence from everyone else, but when it comes to your own preferred framework you repeatedly jump from:
**better data → better positioning estimate → meaningful market mechanism → predictive power → tradable edge**
without actually demonstrating each link.
Maybe the richer GEX data really does contain useful information. I’m completely open to that.
But “the real GEX works, you just don’t understand it” is not an argument.
Show the incremental predictive value.

but it's still standing. FULL FLEX

It's funny that you approach everything as a challenge. I will tell you this though that you haven't yet looked at the illiquid tickers which occasionally pick up options volume and don't have any natural hedging mechanism in terms of a futures or an ETF product. The impact from options positions in those sort of tickers can have a meaningful effect, go study it. If anything it seems like you don't understand SP500 ecosystem as well considering the way you are arguing, you are literally taking the most complex product ecosystem that is traded widely in a global market with lots of layers and opacity (things like OTC trades, TRS swaps, FLEX options which only print EOD) and believing that a CBOE provided order flow segmentation can give you meaningful levels is just a load of crap. People using that $300 a month service that you seem to advertise here in a sneaky way is what you claim is meaningful yet the whole market has access to it. Good luck with your beliefs, you clearly don't look at the data or validate any assumptions.

As you post a picture of your Rolex? I don’t think you have given up on attachment to wealth when you’re still trying to FLEX