Murphy|Jan 12, 2026 01:04
Capital structure → Chip structure → Market direction
Options Gamma exposure (GEX) essentially tells us: when BTC price fluctuates, are options market makers “helping stabilize the price” or “being forced to push the price along”? Market makers (MM) typically don’t bet on direction; they just earn the spread. After selling/buying options, they are exposed to changes in Delta and Gamma.
When the price changes, Delta changes (this is Gamma). To maintain risk neutrality, MM must immediately buy or sell BTC spot (or futures) to hedge.
In a Long Gamma state, when the price drops, MM needs to buy BTC; when the price rises, MM needs to sell BTC to hedge. This creates Gamma gravity. Conversely, in a Short Gamma state, if the price drops, MM is forced to sell BTC; if the price rises, MM is forced to buy BTC. This amplifies volatility.
(Figure 1)
From Figure 1, we can see three key Gamma exposure points on the January 30 expiration date. Among them, $90,000 and $88,000 are in a Long Gamma state (green bars), with the former having a GEX of $1.2 billion and the latter $628 million.
This means that a large number of options are concentrated in these positions, where MM’s hedging force is strongest. All short-term fluctuations will be pulled back. You can think of this as a “super Gamma anchor point,” a region that’s not easily broken in the short term.
On the contrary, $92,000 is a large Short Gamma (red bar) with a GEX of -$622 million. This is the completely opposite side!
Once the price enters this zone, MM’s hedging logic shifts from stabilizing the price to pushing it along. If the price holds steady, it’s likely to accelerate upward; if the breakout fails, it’s often quickly pulled back to the Long Gamma magnetic zone below.
(Figure 2)
Looking at the current structure, among the densest chip bars, aside from the $83,000-$84,000 range influenced by Coinbase wallet adjustments, the other ranges, including $87,000-$88,000 and $89,000-$92,000, align perfectly with the Gamma exposure points.
Combining the above trading mechanisms with the changes in BTC chip structure shown in URPD, we can better understand the deeper logic: “Capital flow determines chip structure, chip structure forms support/resistance, and this influences market direction.”
This is why, when analyzing URPD data, we often find frequent turnover of short-term chips. This isn’t high-frequency trading by short-term players, nor is it internal wallet transfers by institutions. Instead, it’s behavior that market participants must engage in due to trading mechanism constraints.
Therefore, whether looking at capital flow or chip structure, the downside space in the short term is limited, while the upside resistance is smaller. The only question is how much longer the market will grind without external catalysts.
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