海盗鸭

Bitquery’s October 19 report split RLUSD “adoption” in two: half was noise, and half was real money.

On the noise side: From September 19 to October 18, there were 7.82 million RLUSD payments on the XRP Ledger. 110 automated wallets accounted for 7.79 million of them, or 99.6%, but the total value was only about $7,722—an average of $0.001 per payment, with funds looping between three aggregation addresses. On September 26 alone, there were 573,589 payments, but only 388 worth at least $1. This bot operation burned only about 495 XRP (roughly $648) in fees across 8.6 million transactions. Activity plunged starting October 14, and daily payments fell to about 2,000 by October 17, down from a September peak of more than 500,000.

On the real-money side: After filtering out the noise, there were about 14,600 payments worth at least $1, moving $7.33 billion. Of that, 10 wallets accounted for $6.05 billion (82%), while 828 payments worth at least $1 million totaled $6.98 billion—about 95% of the value of large payments.

The bears conclude that “the data is fake,” while the bulls say “large settlements are what stablecoins are made for.” I think both sides are right, but neither gets to the point: the real bad news isn’t that 99.6% came from bots; it’s that there were only a little over 14,000 genuine payments in 30 days. The retail narrative of stablecoins as a “payment tool” still has no on-chain evidence. What we do see is issuer minting and redemption, exchange transfers, and large settlements—the market is wholesale, not a checkout counter.

So the price logic for $XRP shouldn’t be based on the “number of payments,” but on “how many independent recipients are willing to accept RLUSD.” No one has yet claimed responsibility for the shutdown around October 14, which is itself a signal worth investigating.

My view: Treating transaction count as adoption is the industry’s most expensive illusion. Which metric matters more to you—transaction count, transfer volume, or the number of independent recipients?

#110automatedwalletsaccountfor99.6percentofRLUSDpayments

Santiment data: Since September 19, addresses holding 10 to 10,000 BTC have added a combined 88,987 BTC, bringing their total holdings to 13.69 million BTC—the highest in six months. Meanwhile, spot ETFs saw net inflows of $526.6 million on Monday, their biggest single-day inflow in nearly a month, but are still seeing net outflows of $90.57 million so far in October.

In other words, ETFs still hold the pricing power in the short term, while long-term holdings are consolidating in the hands of whales. Tim Sun of HashKey says rising financing costs and narrowing valuation premiums mean some corporate treasuries no longer want to borrow money to buy crypto—ETFs are seeing outflows while whales are buying.

My take: This setup can cushion a pullback, but it isn’t fuel for a rally. What will really determine whether $83,000 holds is the ETF daily inflow curve, not the whales.

The key question: Is this move at $BTC going to break below $80,000 first and shake out the late buyers, or will those 88,987 BTC in added holdings push the price back to its previous high? Which side are you betting on? #USBitcoinETFsees$527millioninnetinflows

NEAR’s House of Stake has opened a 14-day vote on HSP-029: reducing the maximum annual issuance rate from 2.5% to 1.6% over 24 months, with a 90-day grace period in between. The 90/10 split of issuance (stakers/treasury) would remain unchanged.

Most people are reading this as “a deflationary positive.” I think the real issue isn’t deflation—it’s who pays for it.

According to the proposal’s own estimates, assuming the staking rate stays at 42.71%, gross staking APR would fall from 5.27% to 3.37%—a cut of more than a third. About 11.8 million fewer $NEAR would be issued over two years, and 66.1 million fewer over six years, equivalent to a 4.36% reduction in supply compared with the current policy.

So this is an explicit redistribution of benefits: trading stakers’ cash flow for greater scarcity for all token holders. Stakers will feel their returns shrink next cycle, while non-stakers will only see the supply curve flatten.

There are also two easily overlooked hurdles in the mechanism. First, a House of Stake vote passing doesn’t mean the change takes effect; validators must separately accept it through a protocol upgrade. Validators earn commissions, so what incentive will they have when the rewards pool gets smaller? Second, if lower returns cause some people to unstake, the yield for those who remain will rise automatically. This self-correction would dilute the actual impact of “lowering inflation”; the 3.37% figure in the proposal is only a static estimate.

My view: this vote will probably pass. The real test will come over the next two or three cycles: will the staking rate slide below 35%, or hold above 40%?

So here’s the question: are you on the side earning 5.27%, or the side getting 4.36% more scarcity? You can’t have both.

#NEAR vote proposes cutting annual issuance rate to 1.6%

Injective has signed a memorandum of understanding with South Korean custodian BDACS, with plans to designate the Korean won stablecoin KRW1 as the “sole KRW-denominated settlement asset” for RWA and tokenization activity on its network. KRW1 is fully backed by won reserves, but minting and redemption will initially be available only to approved institutional partners, and the overall arrangement is still subject to regulatory approval.

Many people see this as “another bullish stablecoin development.” I think that misses the bigger picture. KRW1 isn’t about payments—it’s about pricing power. Today, dollar assets account for 98%–99% of on-chain stablecoins. Any non-dollar asset that goes on-chain has to be converted into a dollar stablecoin before it can be traded, which means every tokenized transaction effectively reinforces the dollar as the settlement currency. The BDACS CEO put it plainly: without on-chain infrastructure for the Korean won, demand in tokenized markets will remain pegged to the dollar.

Why South Korea? Because demand is already spilling over. The country’s five largest trading platforms have seen net stablecoin outflows overseas for 18 consecutive months, totaling about $10.4 billion. In June 2026 alone, dollar stablecoin trading volume exceeded 6 trillion won. Money is moving on-chain, but what’s flowing out is dollars. Meanwhile, the second phase of legislation for the Digital Asset Basic Act has entered its “final coordination stage,” according to the Financial Services Commission, but has yet to pass. The biggest disagreement concerns who can issue stablecoins: the government and central bank favor a consortium model in which banks hold at least 50% plus one share, while industry players argue that non-bank institutions should be allowed to participate.

That means KRW1’s fate isn’t in Injective’s hands—it’s in the National Assembly’s. If the “51% rule” is ultimately adopted, banks’ consortia will capture the initial growth in on-chain won, while public blockchains will get a settlement channel, not the issuance rights. Injective says its L1 has processed more than $7.5 billion in RWA trading volume and issued over $1 billion in tokenized assets. That’s leverage, but it’s not the same thing as being the “won settlement layer.”

So I’m inclined to read this as an early move to exploit regulatory arbitrage, rather than a product launch. $INJ ’s price may react faster than legislation, but the real turning point will be how that law is written.

Here’s a question: if won stablecoins can ultimately be issued only by bank-controlled consortia, how much will won liquidity in DeFi really matter? Would you position yourself in $INJ early on the “settlement layer” narrative, or wait until the first list of tokenized assets and regulatory approvals are announced together? After all, dollar stablecoins running on $ETH have already traveled this road from end to end.

#InjectivePlansToMakeKRW1ItsExclusiveWonSettlementAsset

$ALT trading volume has surged to 3.31 times its 7-day average, yet the average trade size is only 55.4 USDT—0.24 times the median for the same cohort. High volume, small trades: retail is chasing, not big money building positions.
Price is 0.01204, up 17.92%, but has covered only 42% of the range and has already retraced 22.9% from the 0.01562 high. BTC moved just 0.11% over the same period.
I’m inclined to see this as a sentiment-driven rebound, not the start of a trend. If it can’t reclaim 0.01562, this was just a high-volume bull trap.
Which gets tested first: 0.0156 or 0.012?

$BMT has given back 16.0% from its 24h high of 0.02608, leaving a long upper wick and closing with just +8.73%.
The key is volume: turnover surged to 4.44 times the 7-day average (16.5M), yet the price retreated to the 35% level of the range and is now at 0.02192. It surged on heavy volume, then got sold back down—that suggests real supply overhead, and plenty of it.
I’m inclined to call this rotation, not a breakout—breakouts don’t give back 16%.
If it can’t reclaim 0.02608 by the close, the next test is the low at 0.0197. Which way are you betting?

In its 2027 Long-Term Capital Market Assumptions, JPMorgan for the first time included Bitcoin in its long-term return forecasts: a 10% annualized return over the next decade in the base case, compared with 7.5% for US large-cap stocks, 8.2% for REITs, and 5.5% for gold. Starting from $83,000 on September 30, 2026, Bitcoin would be worth about $215,000 in ten years; the bull-case return of 16.6% implies about $386,000, while the bear case is -11.2%.

But the figure in this report that deserves the most attention isn't 10%—it's 55%. The assumed annualized volatility for Bitcoin is 55%, versus 18% for US large-cap stocks. The report also gives another figure: an arithmetic average return of 20.9%. The gap between 20.9% arithmetic and 10% geometric isn't a fee—it's a volatility tax. High volatility can significantly erode the compounding path. You have to survive every drawdown before you can earn the average.

The model weights are also interesting: 65% for the monetary growth comparison model, 30% for the gold complement model, and 5% for the network usage model. In other words, that 10% is driven mainly not by «how useful Bitcoin's technology is», but by «how much fiat currency is being issued and how little gold is being bought». The assumed correlations are 0.33 with US stocks and 0.10 with gold—low correlations, which are what qualify it for consideration in a portfolio.

My view: it's more useful to think of 10% as «the bar for holding it» than as «an expected return». For an asset with 55% annualized volatility, years with losses of more than 40% are normal, not unexpected. Whether you achieve that 10% depends on the size of your position and your ability to withstand the ride—not on how accurate your predictions are.

So the question has never been «will Bitcoin outperform?» but «how large a position are you taking to get that outperformance?» A 1% position earning a 10% annualized return contributes less than 0.1 percentage points to the portfolio; with a 5% position, a single halving along the way could be enough to make you sell at the bottom. Is your $BTC position sized according to your return expectations, or according to how much drawdown you can stomach?

#JPMorganForecastsBitcoinToLeadOverTheNextDecade

The average amount per trade for $INJ is only 86.7 USDT, 0.38 times the median for this group—this two-day drop is driven by small orders exiting, not big money dumping.
What’s more noteworthy is the shrinking volume: trading volume is 17.7M, just 0.77 times the 7-day average. The current price is 8.21, down 6.79% over 24 hours, near the bottom of the range at 15%, after falling for two days straight.
Shrinking volume, small orders, and consecutive declines—I don’t think this is the big players selling off; it looks more like a natural slide with no buyers stepping in. The real danger with this kind of setup is a sudden spike in volume—that’s when someone is selling out.
So I’m watching 8.095, not 8.21. Which do you think comes first: a break below 8.095, or a rebound to 8.878?

$526.7 million in net inflows for U.S. spot Bitcoin ETFs on Monday—the biggest day since September 22.

The breakdown is less impressive: IBIT alone saw $665.2 million in inflows, while Fidelity’s FBTC saw $83.6 million in outflows and Grayscale’s GBTC saw $54.9 million in outflows. The entire market’s net inflows were carried by a single product.

The “total net inflows” metric now masks a reality: passive investment is becoming increasingly concentrated in the fund with the lowest fees and strongest distribution, rather than being spread evenly.

My read is that this single-point structure is more fragile than net outflows. If IBIT turns around, the total flips negative immediately, while the headlines still say “ETFs are buying.” When I watch the market, I’d rather track IBIT’s daily flows than that aggregated figure.

$BTC is now above $82,000. Do you think this wave of buying can push it past $84,000, or is this just another round of last-minute buying before month-end?

#U.SBitcoinETFNetInflows527Million

BTC moved just 0.11% in 24 hours, while $SOXLB itself fell 8.77%, underperforming by 8.9 percentage points.
This is a tokenized product linked to a 3x leveraged long semiconductor ETF, so the leverage itself amplifies moves: its current price is 94.71, just 0.7% above the 24-hour low of 94.0, placing it at 6% of its range. It has fallen for two days in a row.
Trading volume is 1.38 times the 7-day average—moderately elevated, but not yet a panic-selling spike.
I don’t think this is the place to chase a rebound: with a 3x leveraged structure, a break below 94.0 would amplify the loss all over again. 94.0 is the dividing line—will you wait to see if it holds, or wait for it to break?

$ENA touched 0.226 but was pushed back to 0.2058, giving back 8.9% from the 24-hour high and leaving gains at just +3.62%. Trading volume was 55.0M USDT, 1.58 times the 7-day average, yet the price closed at the 29% level of the 0.1976–0.226 range—surging on heavy volume but closing in the lower-middle portion suggests selling pressure overhead. The average trade size of 223.2 USDT is close to the median for the same cohort, so this isn't retail buying. I lean toward thinking 0.226 won't be breached today, and a rebound above 0.21 could be followed by another pullback. If you’re holding a long position, would you trim it here?

$UNI Current price: 7.222, near the bottom of the 24h range, at just the 7% mark.
The fundamentals point in exactly the opposite direction: the first UNI block trade through a regulated channel has been completed, giving institutions a compliant way to hedge. The news and the price action are moving in opposite directions.
The average trade size is 219.4 USDT, 0.95x the median for the same cohort; trading volume is 1.27x the 7-day average, so trading near the bottom isn’t happening in a vacuum.
My take: regulated channels won’t rescue the price in the short term, but if 7.182 is decisively breached, it means sellers are more urgent than institutional buyers. 7.182 or 7.733—which do you bet will come first?
#FirstUNIBlockTradeThroughRegulatedChannelCompleted

$ARB barely moved away from the bottom of the range today: the current price is 0.1842, the low is 0.1837, and its position in the range is 3%.
A 3.46% drop isn't huge, but the structure looks ugly—the price has given back 7.2% from the high of 0.1986 and kept sliding, closing at the low.
The average trade size was 239.7 USDT, 1.04 times the batch median, making it one of the few relatively large trades in this batch; trading volume, however, was only 1.12 times higher. Large trades went through near the low, but volume didn't pick up. I lean toward someone accumulating gradually, but cautiously.
0.1837 is the only level that matters: hold it and it's accumulation; break it and the search for a bottom continues. Are you placing an order at 0.184, or waiting to see if it breaks first?

At this White House event on cybercrime, the main story wasn’t Trump—it was the numbers: FBI statistics show that Americans filed more than 1 million complaints about online scams in 2025, up 17% year over year, with losses reaching a record high. Of those, 181,565 complaints were crypto-related, involving losses of $11.366 billion. “Crypto investment scams” alone accounted for $7.2 billion. Victims are typically guided to buy USDT or $BTC , then transfer it to scam wallets.

The results being showcased this time were the seizure of fake crypto investment websites and a crackdown on identity-impersonation phishing. The backdrop was a March 2026 executive order directing the Justice Department to prioritize prosecutions of online scams, followed by a move to have the Department of Homeland Security work with private companies to monitor overseas cybercrime groups. The lineup included Homeland Security Secretary Mullin, FBI Director Patel, Defense Secretary Hegseth, and Attorney General Blanche. Framing “scams” as a national security issue marks a shift in this administration’s rhetoric.

My take: Law enforcement can seize domains, but it can’t dismantle the cost structure. These operations depend on “labor + payment channels.” Scam compounds in Cambodia, Laos, and Myanmar can restart by replacing workers and domains. And the instant, irreversible settlement of stablecoins is precisely why they are a preferred way to move money in. So the impact at the margins depends on whether authorities can choke off both the on- and off-ramps. Address labeling by trading platforms, interception by banks, and the traceability of cross-chain routes are far more useful than arresting a few people.

For ordinary users, there are a few practical red flags: an “investment app” that accepts only stablecoins and won’t let you withdraw; strangers offering trade tips or groups posting screenshots of profits; a domain registered less than a year ago; or demands to “pay taxes first” before withdrawing. If you spot any one of these, leave immediately—there’s no need to verify.

A Reuters investigation also found that the Trump family has earned at least $2.3 billion from its major crypto ventures, while investors have suffered comparable losses. Putting this alongside a campaign against “scams” at the same event makes for a contrast worth questioning.

One question to leave you with: Do you think the key to fighting scams is law enforcement making arrests, or platforms and banks shutting off the on-ramps?

#TrumpPlansToOutlineCrackdownOnOverseasCryptoScams

$BMT has now risen for 4 straight days, with today marking its 4th bullish candle, up 8.21%, and currently trading at 0.0224. Volume is 4.34 times the 7-day average, but the price has only reached 42% of the 0.0197–0.02608 range, and has pulled back 14.1% from its 24-hour high—volume is up, but price hasn’t kept pace. The average trade size is 67.7 USDT, just 0.3 times the batch median, suggesting small retail orders are driving the rally. After four straight up days, I think it may take a breather: 0.02608 is a key hurdle it must clear. If it can’t, this rally is over. Would you still dare to chase it on day four?

Alpenglow activated at epoch 1064, officially retiring TowerBFT, which Solana had used for more than six years. The official claim is that it cuts finality from about 12.8 seconds to 150 milliseconds—a 98.8% reduction—but that figure isn’t the real story.

What changes under the hood is the voting mechanism. In the TowerBFT era, validators had to submit votes as on-chain transactions, and a block needed to accumulate votes across 32 slots to become finalized. Votor lets validators exchange votes directly and aggregate them into certificates: one round to finalize with 80% of stake voting in favor, or two rounds with 60%. The key side effect: votes are no longer recorded on-chain, even though vote transactions previously accounted for about 56% of Solana’s recorded transactions. In other words, TPS and transaction counts on various dashboards will “plunge” after the upgrade—but that doesn’t mean users have left.

That’s where opinions diverge. Bulls say 150-millisecond finality makes Solana competitive with centralized matching engines for payments, exchange deposits, and cross-chain bridges. Bears say finality is about latency, not throughput; fees won’t fall, and the marketing numbers will soon come back to bite. There’s also a third point that’s been overlooked: each validator must keep at least 0.8 SOL in its vote account to pay the entry fee for each epoch (which is burned). This creates a new barrier to entry that disadvantages smaller validators.

I’m inclined to think Alpenglow’s biggest significance isn’t speed, but the idea of “decoupling consensus costs from user transactions” itself—the network will no longer make user transaction volume pay for consensus. But to verify that, we need to look at the actual distribution of finality times after activation, not the target values in the white paper. The switchover is happening in stages today: the first 5,000 slots (about 17–18 minutes) will still run TowerBFT, with a pause of about 400 milliseconds during the handoff.

Here’s the question: TPS cut in half, finality about 85 times faster—which would you believe first? For this wave, should we focus on the narrative or on actual deposit speeds? $SOL

#SolanaWillActivateAlpenglowUpgradeToday

$IOST 's trading volume is 5.63 times its own 7-day average, yet the price has been hammered down to 0.000948, down 22.99% in 24 hours. This kind of volume isn't just turnover—someone is in a hurry to get out. The current price is at the 1% level of the 0.000936~0.001908 range; the average trade size is 75.6 USDT, just one-third of the median for the same group. It's small orders doing the dumping, not large funds unloading all at once. The broader market barely moved during the same period, so this wasn't dragged down by the market. I lean toward the high-volume decline not being over yet, with 0.000936 as the last level to watch. Which way are you betting?

BTC has been almost flat for 24 hours, while $INJ fell on its own by -10.29%, now at 8.128, underperforming by 10.1 percentage points. Even more unusual is the shrinking volume: turnover is only 0.79 times the 7-day average, yet the price has already moved to the 3% position within the 8.095~9.076 range, falling for two straight days. A drop on shrinking volume is usually not panic selling, but more like nobody is taking the other side. My view is: if 8.095 is not reclaimed today on volume, don’t rush to buy the bounce; only when it reclaims above 8.5 on increased volume does it count as someone stepping in here. Is this a case of nobody wanting it, or nobody selling?

$AVAX 's trades are getting smaller: the average trade size over 24h is 116.4 USDT, only half the median for the same cohort. The price is down 4.24%, currently at 9.321, right at the 0% level of the 9.318–10.054 range. It has fallen for two days in a row, and trading volume is 1.18 times the 7-day average—but that's not particularly high. With mostly small trades and the price near the bottom, this looks more like nobody is willing to buy above 9.3 than someone dumping. I think this setup limits the strength of any rebound: a break below 9.318 would confirm a real drop; otherwise, it's just a test. Do you think this is a shakeout, or has interest really dried up?

$UNI is currently at 7.188, with a 24h low of 7.182—just 0.006 above the floor, basically hugging the bottom. It's down 5.67% on the day, while the broader market has only dipped slightly. But volume hasn't picked up: turnover is 1.26 times the 7-day average, which is normal. This isn't a sharp sell-off; it's a slow grind down. The average trade size is 216.1 USDT, close to the median for its peer group, suggesting both sides are still placing serious bids. My take: with price hugging the bottom on low volume, 7.18 will likely be tested today to see if it holds. A break would confirm the direction; otherwise, it's just a drop for nothing. Are you waiting for a breakdown or a rebound?