The $VIX is up today and its Monday. Thats often the case regardless of where $SPY opens the week. I have been wanting to explain this more for awhile since get questions on it so here you go...
The VIX Weekend Effect - Why Monday is the ONLY Day VIX Statistically Goes Up
🧵 VIX drops on Fridays, spikes on Mondays
This happens 60%+ of the time—regardless of market direction
Here's the calendar day anomaly that creates a weekly edge (and how to trade it) 👇
1/ The data is clear:
Monday is the ONLY day of the week VIX statistically goes up
VIX on Mondays has a higher percentage of going up, while Friday has a higher percentage of VIX going down
This isn't random—it's structural
Whats the Dispersion Index and why should you care for your stock market trades?
The Cboe S&P 500 Dispersion Index (DSPX) measures how much the stocks inside the S&P 500 are expected to move differently from each other over the next 30 days.
A simple way to explain this to a kid or novice would be think of it like a classroom race...
Imagine your class is running a race:
👉The VIX (the “fear index”) is like asking: “How fast or slow will the whole class average be?”
👉The DSPX is like asking: “How spread out will the finish times be between the fastest kid and the slowest kid?”
If everyone finishes close together, dispersion is low.
If some kids win by a lot and others finish way behind, dispersion is high.
🧵🧵1)
🥐 fresh crumbs
Expectations into Midterm Election 🇺🇸
- Structural Flows are positive through September
- September to Early November flows are less positive
Summer of George - Positioning is Everything!
Dealer flows 👸🦥 + Structured product flows outweigh headlines
Reflexive Dynamics 🔀 crowded longs face headwinds and vice versa
@jam_croissant on @TopTradersLive
Full interview
https://t.co/TVUaDGWgVr
$SPY $SPX How I Read Normalized GEX on @unusual_whales 💡
Think of Net GEX like a magnet for a stock. (Not always)
Now Net GEX shows the hedger “strength,” but stocks aren’t all the same size in total number of shares
Normalized GEX divides that strength by total shares, showing how much said hedging “strength” actually matters when compared to total shares. (Percentage effect)
High percentage positive normalized GEX = strong magnet, price tends to move toward that strike strongly.
Low percentage positive normalized GEX= weak magnet, price drifts more and may gradually move towards said magnet.
High Percentage negative normalized GEX= repeller, price gets pushed away, sometimes violently.
Low Percentage Negative Normalized GEX=weak magnet, price drifts more and may gradualy move towards said magnet
Normalization matters because a huge net GEX in a tiny stock might barely move it. Normalized GEX lets you compare hedging relative to shares and see how strong said hedging is compared to total amount of shares.
In short: positive = strong pull, negative = strong push, and the bigger the normalized GEX, the stronger the effect.
Note: Positive Gamma supports liquidity
Negative Gamma reduces Liquidity
Here’s my illustration, enjoy
Futures well off lows tonight now green +25 and may have double bottomed at weeks lows. Still caution warranted but wonder if get sneaky rally into Fridays SpaceX fest.. then fizzle after FOMC and VIX expiration next week?
Why would markets rally after a 3rd leg down?
Simple, they need to push SpaceX 30% above IPO price by Jul 7 for insiders to sell 10% more shares
Also hedge funds hold the SpaceX bag until they can dump it on retail when incorporated into indices Jul 6
https://t.co/bgkNp4XWIT