There are traders you hear about because they talk, and traders you hear about because their footprints keep showing up in public data.
The wallet that crypto Twitter has been calling “BitcoinOG,” “1011short,” or some variation of those names falls into the second category.
Back in October, the story was simple, and loud. The wallet was tied to a massive BTC short on Hyperliquid, and Lookonchain was posting regular updates as the position grew, got adjusted, and then got closed.
One post said the trader fully closed their BTC shorts and walked away with over $197 million across two wallets, another suggested they moved USDC to Binance right after. I’m not going to re litigate every screenshot from that period, the point is that this trader got branded as a “short legend” in the public imagination.
Now the data says we are in a different chapter.
The moment the new story starts, 850 SOL long opens in an hour
When you stare at perp activity long enough, you start to recognize human behavior versus machine behavior.
Hypurrscan data `0xb317…83ae` shows 873 “Open Long” events on SOL USD, and 863 of them land on Dec 25.
More than that, 850 of those Dec 25 SOL longs land inside a single hour window, from 15:00 to 15:59 UTC. That is the kind of clustered execution that looks like an algo doing a job, not a person clicking buttons.
The prices are tight too. In that same hour, the median fill price sits around $123.12, and the middle chunk of fills bunches up between roughly $123.01 and $123.16. There are outliers in the dataset, but the center of gravity is clear, the trade was built around the low $123s.
Thus, a trader who built a reputation on a dramatic short, comes back later and buys, and they do it quietly, fast, and in a way that suggests they care more about getting exposure than showing off timing.
The wallet didn’t just buy SOL, it funded a whole campaign
That Dec 25 SOL burst makes more sense once you look at the funding.
USDC deposits into the address total about $430.0 million, withdrawals total about $138.5 million, so the net inflow is roughly $291.5 million over the period covered. The deposits are lumpy, as you would expect when a wallet prepares to run a large margin book. One day alone shows $110 million deposited on Dec 11, with additional big deposit days around $70 million and $50 million in early December.
This is where the story stops being a “SOL trade” and starts looking like a portfolio bet.
Because Dec 11 is also the day the wallet starts leaving what looks like a ladder of intent.
Inside the Hyperliquid data, there are nine blocks of 100 BTC each posted at around $91,600, totaling 1,000 BTC of orders, roughly $91.54 million notional. There is also a large cluster of orders priced in the low $3,000s that align with ETH price levels, and the net notional across those orders comes to around $273.6 million, with large gross notional in both directions, which likely reflects order updates and adjustments rather than a single clean directional print.
Then there’s SOL again, this time in chunky limit blocks, five 50,000 SOL orders posted around $135.50 to $139.00, plus two 30,000 SOL blocks around $123.89 to $124.00.
Even without guessing at what executed versus what was posted and pulled, it tells you what this trader was thinking about. They were building the ability to get big, across assets, and they were doing it with orders, not vibes.
They had large long basket across ETH, BTC, and SOL, with leverage in the low single digits at the account level and a drawdown that is not small. The same screenshot shows funding costs on the long side that are meaningful, the kind of number you notice if you plan to hold.
A lot of whales look smart when the market is moving their way. The interesting ones are the ones who can sit in discomfort, keep their size, and still sleep at night. This wallet has that vibe, at least from what we can see.
Why this matters beyond the whale watching
It is tempting to write this as a character piece, short king becomes long guy, the end. It is more interesting than that.
The most useful way to read this is as a signal about what kind of market people are willing to play right now.
Perps markets expand when traders are comfortable holding leverage. They shrink when traders get scared of funding, volatility, and being forced out. When a wallet like this brings in hundreds of millions in USDC, posts big ladders, and then executes 850 SOL longs in an hour, it is a sign that at least one serious participant believes the next few weeks reward risk appetite.
There’s also a cross-market context that supports the mood. Last week, Binance overtook CME in bitcoin futures open interest. Whether you think that’s good or bad, it fits the general idea that leverage is flowing toward venues and products where it’s easy to express big views.
For this wallet, perps are the main stage.
The risk that decides the outcome, funding and correlation
There are two things that can turn a large long basket into a problem.
One is funding. If longs are paying and the market chops sideways, time becomes the enemy. You can track SOL funding regimes directly on CoinGlass, and it is worth keeping that chart open while watching whether the wallet adds or trims.
The other is correlation. A basket looks diversified until the market reminds you that crypto sometimes moves as one asset, and then SOL moves harder than the rest. In a correlated down move, the book gets hit on multiple lines at the same time, and funding can still be charging you for the privilege.
That’s the scenario that forces decisions.
Three clean scenarios to build around next
Here’s the range of outcomes to model around this wallet’s current behavior, and all of them are testable with the same on-chain and perp data we’re already pulling.
Scenario one, risk-on continuation.
BTC and ETH grind higher, SOL outperforms, funding stays manageable, the Dec 25 SOL burst reads like a calculated add, and the wallet looks early rather than reckless.
Scenario two, chop and bleed.
Price goes sideways, funding stays positive, the book quietly leaks, the wallet either trims exposure or starts hedging, and the public narrative shifts from genius to patience test.
Scenario three, risk-off shock.
A fast-correlated sell-off hits the basket, volatility spikes, the book gets squeezed by both price and risk limits, and the wallet either defends with new collateral or de-risks quickly.
What I’ll be watching next
If you want one simple “next chapter” indicator, watch for repetition.
If we see another hour like Dec 25, another dense cluster of SOL long opens around a single level, that suggests this trader has a playbook and they’re running it with conviction.
If, instead, we see USDC flow out, fewer opens, and more cancelled ladders, that suggests this was a tactical push and the wallet is protecting itself from carry.
Either way, the reason this wallet is still interesting has nothing to do with the memes attached to it. It’s interesting because it acts like a real trader, the kind who sets up the account first, posts the ladder, executes in a burst, and then lives with the position.
If you’ve been reading whale alerts like sports scores, this is the kind of tape that deserves a different lens.
