Bitcoin Magazine
Morgan Stanley’s Bitcoin Investment Recommendation Explained w/ Amy Oldenburg
Morgan Stanley became the first global systemically important bank to launch a spot Bitcoin ETP and it crossed $600 million within months of its April debut. Amy Oldenburg, Head of Digital Assets at Morgan Stanley, joins host Spencer Nichols to explain how that product came together, why it was priced below competing spot Bitcoin ETFs, and what still stands between clients and their first Bitcoin allocation. She also details the firm’s 0–4% allocation framework across three investor risk profiles and why Morgan Stanley has no equivalent gold allocation. Plus: whether Bitcoin could land on Morgan Stanley’s own balance sheet.
Host: Spencer Nichols — Bitcoin Magazine Amy Oldenburg, Head of Digital Assets at Morgan Stanley
Chapters:
0:00 — Morgan Stanley on Putting Bitcoin on Its Own Balance Sheet
1:14 — 26 Years at Morgan Stanley: Emerging Markets to Head of Digital Assets
2:10 — First Major Bank to Launch a Spot Bitcoin ETP Tops $600 Million
3:14 — Education, E-Trade Spot Crypto, and What Clients Actually Own
4:49 — Why Morgan Stanley Priced Its Bitcoin ETP So Low
6:40 — The 0–4% Allocation Framework and the Digital Gold Thesis
8:52 — Correlation Regimes: Digital Gold, High Beta Tech, and Volatility
11:41 — Gold 2.0, Market Cap, and Bitcoin on the Balance Sheet
14:37 — Institutional Market Structure, Quantum Risk, and Client Trust
18:02 — Global Off-Ramps, Tokenization, Stablecoins, and Morgan Stanley Research
DISCLAIMER: The views and opinions expressed in this show are those of the participants and do not necessarily reflect the official policy or position of BTC Inc., Bitcoin Magazine, or any affiliated entities. This content is provided for informational and educational purposes only and should not be construed as investment, legal, tax, or accounting advice. Nothing contained in this show constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or financial instruments. Viewers should consult their own advisors before making financial or business decisions.
This post Morgan Stanley’s Bitcoin Investment Recommendation Explained w/ Amy Oldenburg first appeared on Bitcoin Magazine and is written by Mark Mason.
Bitcoin Magazine
Strive Snaps Up More Bitcoin, Brings Holdings to 25,000 BTC
Nasdaq-listed bitcoin treasury Strive now holds 25,000 BTC — worth nearly $2 billion — following its latest buy.
The company said Monday that it bought 469 bitcoins at an average price of approximately $77,954. It is still the fifth biggest publicly traded bitcoin company, according to Bitcoin Treasuries. Strategy, Twenty One, Metaplanet, and MARA all hold more bitcoin than Strive.
CEO Matt Cole wrote on X Monday that 100% of the capital raised during the week came through sales of SATA, Strive’s perpetual preferred stock.
Dallas, Texas-based Strive’s stock (ASST) was trading more than 6% higher following the news.
The first billion’s the hardest. pic.twitter.com/1EDYiZ10TD
— Matt Cole (@ColeMacro) September 13, 2026
Strive debuted as an official bitcoin treasury last year. The company was founded by former Ohio gubernatorial candidate and tech entrepreneur Vivek Ramaswamy.
In January 2026, it completed the acquisition of Semler Scientific in an all-stock deal — the first instance of a publicly traded Bitcoin treasury company acquiring another such company.
Like with other digital asset treasuries, the idea is that investors can get amplified returns from Strive’s stock. The company buys bitcoin with equity, and maintains a debt-free balance sheet: no bonds, no credit lines, and no leveraged positions that could trigger forced liquidation in a downturn.
The company is different to other major bitcoin treasuries because it has no debt.
Other major bitcoin treasuries — like the biggest, Strategy — have used leverage to buy the leading cryptocurrency.
Strive CEO Matt Cole has described the company as debt-free with zero margin requirements and zero encumbered bitcoin.
This post Strive Snaps Up More Bitcoin, Brings Holdings to 25,000 BTC first appeared on Bitcoin Magazine and is written by Mathew Di Salvo.
Bitcoin Magazine
Strategy Buys Back Stock, Skips Bitcoin Purchase
Bitcoin treasury Strategy held off buying bitcoin again last week. The Nasdaq-listed company said it instead bought $139 million of its preferred stock STRC.
A Monday filing with the Securities and Exchange Commission on Monday showed that the company repurchased 1.42 million STRC preferred shares for around $139.3 million between September 8 and September 13.
The company still owns 845,050 bitcoins worth $66.2 billion at today’s prices, and has two cash balances: USD Reserve and USD Cash, holding $5.1 billion and $1.3 billion, respectively.
Strategy has repurchased $139M of $STRC. As of 9/13/26, we hold 845,050 $BTC and $6.4B of USD Assets. $MSTRhttps://t.co/awLZ666Nuq
— Strategy (@Strategy) September 14, 2026
Strategy, which is the largest corporate holder of bitcoin, this year switched from predictably buying the biggest cryptocurrency this week to buying back its stock and building a cash reserve.
On some occasions, the company even sold small bits of its BTC stash — despite founder and chairman Michael Saylor famously preaching to “never sell your bitcoin.”
After a 10-week hiatus, the company started buying bitcoin again in the final week of August, scooping up nearly $370 million in the leading cryptocurrency.
It hasn’t bought any bitcoin since.
Its Nasdaq-listed shares (MSTR) were 3% trading higher on Monday. The stock has lost over 75% of its value since notching a record in November 2024 — one month before bitcoin passed the once mythical and long-awaited $100,000 mark.
Strategy — formerly MicroStrategy — is an enterprise software company that pivoted to buying and holding bitcoin in 2020.
It first bought the cryptocurrency to protect its shareholders from inflation but has since aggressively bought the asset and pivoted to being a bitcoin treasury.
Strategy has defended its recent bitcoin sales, with CEO Phong Le saying that the company now has a “bullet-proof balance sheet.”
In the company’s quarterly earnings in July, Strategy posted a $8.22 billion loss. But Le reassured investors that the firm’s current paper loss was nothing to worry about.
“We’re the J.P. Morgan of the crypto economy, so whether we sell 1,000 bitcoin out of 840,000 to me is irrelevant to the conversation,” Le said in a subsequent interview.
This post Strategy Buys Back Stock, Skips Bitcoin Purchase first appeared on Bitcoin Magazine and is written by Mathew Di Salvo.
Bitcoin — short term (3–5 months). $77,466, up 0.67% on a day that by yesterday’s logic should have hurt it badly. The Sept 16 FOMC is now priced at roughly 90% for a 25bp hike, which inverts the setup this digest has been describing all week. The hike is no longer the risk — it is the base case. The risk is a hold, and a hold would arrive as a shock into positioning that has stopped hedging for one. $83,000 on a daily close confirms the range; $72,000 breaks it, and the two are now equidistant at about 7% either way.
Bitcoin — long term (1–3 years). For most of its history bitcoin’s deepest structural advantage was that you could read the holders. Cost basis, dormancy, capitulation, accumulation — all of it legible on a public ledger, in a way no equity or commodity has ever offered. That legibility is eroding. On-chain data showed an unusually muted HODL-waves reaction to July’s break below $58,000, an anomaly sharp enough to raise questions about whether that level ever functioned as a bear-market floor at all #16. The mechanical reason is simple: as coins migrate into ETFs, custodians, wrapped products and treasury companies, the decision to sell stops touching the chain. An ARKB redemption is a share transaction. Over three years you are underwriting an asset whose transparency premium is being quietly spent down — the ledger stays public while the behaviour it used to record moves off it.
Ethereum — short term. $2,550.62, up 4.60% — roughly seven times bitcoin’s move, on no Ethereum-specific news whatsoever. Treat that as a positioning outcome rather than a rerating: an asset that outruns the benchmark sevenfold without a story of its own is being covered, not accumulated. The practical effect is that the $2,300 invalidation line, which sat 5.7% away on Thursday, is now 9.8% below spot. The cushion that did not exist yesterday was rebuilt in a single session, and it was rebuilt by short sellers rather than buyers.
Ethereum — long term. Standard Chartered published a forecast this week that Sky will pass roughly five times as much value to token holders by 2028 as USDS adoption and borrowing capacity expand, putting a $0.325 target on SKY #17. Set aside whether the number is right and notice its shape: a global bank modelling an application token as a claim on a growing stream of distributed value. That model does not exist for ETH, because ETH lacks the mechanism it describes. Over three years the base asset competes for the same institutional dollar against things built on top of it that can be underwritten with a spreadsheet. The app layer is learning to pay. The chain is not.
Cardano — short term. $0.2073, up 0.28% — the weakest major for the third consecutive session, and this time it happened on a fully green board. The previous two sessions could be explained as macro beta, since ADA falls hardest when everything falls. That explanation is now spent. On a day when every other major caught a bid of 0.67% to 4.60%, ADA caught 0.28%, which is what thin two-way books look like when the flow arrives and routes elsewhere. Nothing Cardano-specific broke. Nothing Cardano-specific showed up either.
Cardano — long term. Bitwise is closing its Dogecoin ETF less than a year after launch, with trading halting October 14 #18. The fund did about $3 million of volume on its opening day and never came close again. Much of the institutional case for every large altcoin — Cardano included — rests on the assumption that a listed wrapper eventually unlocks demand sitting on the sidelines. Dogecoin just ran that experiment to completion: the wrapper existed, the access was real, and nobody showed up. The question for ADA over three years is not whether a product gets approved. It is whether there is a buyer waiting behind it. Cardano’s market cap is $7.78B. Draw your own conclusion about which of those two is the binding constraint.
Solana. $101.43, up 2.29%, back above the $100 handle it lost on Thursday. Reclaiming a round number in two sessions says the break was liquidation rather than a change of view.
BNB and XRP. $727.82 (+3.13%) and $1.37 (+1.70%). Both mid-pack, which is the whole story — on a day driven by a macro release, the majors sorted themselves by how much leverage had to unwind, not by anything either network did.
August CPI landed at 0.4% for the month and 3.4% year over year, both in line with consensus #2. Core, which is the number the Fed actually watches, rose 0.3% against a 0.2% forecast — a tenth hot, with the 12-month core at 2.4% #1. That single tenth did the work. Rate-hike odds for Wednesday’s meeting went from roughly a coin flip to about 90% inside one session #3. Bond yields printed fresh multi-decade highs intraday on the release #5.
And then everything went up.
The S&P added 1.00%, the Nasdaq 1.12%, gold 0.91%, and every major crypto closed green. The 30-year Treasury yield touched 5.36% and finished lower on the day at 5.349%. Most telling of all, the VIX fell 11.04% to 15.87 — a volatility crush, on the day the Fed’s path turned hawkish.
Yesterday this digest argued that crypto is the most junior claim in the macro stack — no earnings underneath it, so it absorbs a discount-rate shock in full and then some. Today the discount-rate news got unambiguously worse and bitcoin went up. The juniority thesis does not survive that tape in its simple form.
Here is the repair, and it is the more durable frame. Crypto is not priced off the level of the policy rate. It is priced off the variance around it. On Thursday you owned a coin flip four days out from a decision — the single most expensive thing a portfolio can hold, because it cannot be hedged cheaply in either direction. On Friday you own a decision. The rate is worse and the distribution is narrower, and for risk assets the second of those was worth more than the first cost. An 11% volatility crush on a hawkish print is not a market that disagrees with the Fed. It is a market that has stopped paying for insurance against an argument that just ended.
That framing has one weakness, and it belongs in the open rather than in a footnote. The argument has not ended — it has only been priced as though it has, and the revision markets made on Friday was performed on a chair who has never endorsed it. Kevin Warsh’s preferred inflation gauge continues to tell a materially different story from the headline CPI #4. Ninety percent is not a forecast of what Warsh believes. It is a forecast of what the market thinks an energy shock will force him to do. That gap is the widest it has been all cycle, and the entire volatility crush is standing on top of it.
The geopolitics delivered the same lesson from the opposite direction. Houthi forces took control of essentially the whole of Yemen’s Red Sea coastline #8, a development serious enough that the live question is now whether they can close the Red Sea outright rather than merely harass it #9. Brent fell 2.32% to $105.13 on the news. A chokepoint changed hands and the barrel went down.
Two events that should have hurt, and neither did. The common thread is not optimism. It is that both were already carried in the price — the hike since Tuesday, the Bab el-Mandeb risk premium for weeks. Markets stop responding to a risk at the point where they have finished buying it, not at the point where it stops being real.
Underneath the rally, the household transmission kept tightening. Fuel costs are still doing the squeezing #10, and the 30-year mortgage rate crossed 7% for the first time in over a year while home sales hit their 2026 low against a seven-year inventory high #11. A tape can crush volatility and a housing market can freeze in the same week. They are answering different questions.
The flows went the other way from the price. US spot bitcoin ETFs shed roughly $449 million across three sessions, with Thursday’s $282.6 million the largest single-day outflow since July. ARK 21Shares accounted for $164 million of it, ahead of Grayscale at $36 million and Fidelity at $33.6 million; ether and solana funds also ran net negative #7.
So the visible institutional channel was a net seller into a week that ended green. Whoever bid Friday’s tape was not the ETF investor. CoinDesk attributed part of bitcoin’s recovery toward $77,300 to zcash leverage unwinding #6 — which is to say, a chunk of the move was positions closing rather than capital arriving, the same mechanic driving ETH’s outperformance above.
The sharpest print of the day was a company destroying its own paper. Metaplanet cut its executive reward pool by 41%, extinguishing about $220 million in value and scrapping its employee warrant plan, after the stock fell roughly 17% across two sessions #13. A bitcoin treasury company’s compensation structure is a leveraged claim on its own share premium, and when the premium compresses the incentive package stops functioning before the balance sheet does. The coins on Metaplanet’s books did not move. The instrument built on top of them lost a fifth of its value in two days.
Meanwhile India’s SEBI launched its Demat 2.0 pilot with more than $100 million of tokenized corporate bonds settled via wholesale CBDC #19. A sovereign regulator now has a working tokenized settlement stack with a central-bank money leg and no public chain anywhere in it.
On what the flow tables miss. The ETF numbers above measure one access route — the retail-and-advisor wrapper — not the whole building. A sovereign bond pilot, a compensation restructuring at a treasury company and a leverage unwind on a privacy coin all moved capital through crypto this week, and none of them appear in a netflow chart.
Three events, one week, and they overlap.
FOMC, Sept 15–16. Roughly 90% priced for a 25bp hike. The trade is no longer directional — it is about whether the resolution the market bought on Friday actually gets delivered.
Bank of Japan, Sept 16–17. MarketWatch makes the case that the BoJ, not the Fed, is the more likely source of next week’s genuine shock #12. With USDJPY at 153.68 and the Fed expected to tighten the day before, the yen carry trade gets repriced twice in twenty-four hours.
CLARITY Act, Senate vote Sept 15. Senate Republicans circulated a revised draft ahead of the initial vote, adding registration requirements for controlled trading protocols while leaving ethics provisions largely intact #14. The vote lands the day before the Fed decision, which means the most consequential crypto legislation of the cycle will be scored by a market whose attention is elsewhere.
The hold is now the shock. This is the cleanest asymmetry on the board. If Warsh holds on Wednesday against 90% pricing, the volatility crush reverses instantly and crypto is positioned wrong in the direction that usually hurts most — long into an unhedged surprise. A hike delivers what is priced and should be close to a non-event.
A second quantum result landed in one day. Yesterday’s note here was that one halved benchmark is not a crisis but a pattern of them is a schedule, and to watch for a second result this quarter. It arrived the next morning: an AI-agent challenge cut a resource benchmark for one component of a quantum attack on bitcoin by 86% #15. Two results, two days, 50% then 86%. The relevant variable is no longer cryptographic research throughput — it is how much of that research AI agents can do unsupervised.
Zcash wrapper premium — concluded. This tracker was opened on Sept 8 and ran three quiet sessions. It has now resolved, in the least interesting way available: the leverage unwound, as noted above. No structural signal, no persistent premium, just positioning that got too large and then did not. Dropping it.
Bab el-Mandeb freight and war-risk insurance — still no print. An entire coastline changed hands and there is still not a single published war-risk premium or freight spread in the feed to price it with. When that number finally appears it will not confirm what the oil price already told you; it will be the first honest read on whether shipping treats this as a spike or a new base.
A green board on a hawkish print, four days before a central bank meeting that is 90% priced and one day before a second central bank that is not, is not a setup that rewards conviction sizing. It is a setup that rewards being already positioned and not touching it.
Hold actual coins. Not ETF shares, not equity proxies.
This is how I’d think about it. Make your own call.
Asset Price 24h
──────────────────────────────────────
Bitcoin (BTC) $77,466 +0.67%
Ethereum (ETH) $2,550.62 +4.60%
Cardano (ADA) $0.2073 +0.28%
Solana (SOL) $101.43 +2.29%
BNB $727.82 +3.13%
XRP $1.37 +1.70%
Fear & Greed: 56 — Greed (was 69 yesterday)
S&P 500: +1.00% · Nasdaq: +1.12% · DXY: 99.07 (-0.02%) · Gold: $4,404 (+0.91%)
Brent: $105.13 (-2.32%) · US 10Y: 4.955% (+1.1bp) · US 30Y: 5.349% (-1.2bp)
VIX: 15.87 (-11.04%) · USDJPY: 153.68
Equity, gold, oil and yield figures are intraday prints as of 12:26pm ET — the US cash session was still open at the close of this data window. Fear & Greed fell 13 points on a day every major rose, the mirror image of yesterday’s divergence; a sentiment survey lagging a two-day reversal is doing exactly what a sentiment survey does.
Chain of Thought is a daily crypto and macro market digest. Not financial advice.
The Hike Hit 90% And Every Major Went Green was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Every four years, a single line of code fires, and the entire crypto market holds its breath.
It’s called the halving. It has preceded every major Bitcoin bull run since 2012. And it has turned a decade of skeptics into believers, because the pattern looked almost too clean to be coincidence: halving, rally, euphoric peak, brutal crash, repeat.
But in 2026, something is different. Bitcoin trades in the high-$70,000s, roughly 40% below its October 2025 all-time high near $126,000 — and instead of the market simply “waiting for the next halving” like it always has, a real debate has broken out among analysts, on-chain researchers, and Wall Street desks: is the four-year cycle still driving Bitcoin’s price, or has it quietly died, replaced by something closer to a traditional macro asset?
If you’ve ever typed “when is the next Bitcoin halving” or “does the 4-year cycle still work” into Google, this is the article that actually answers it — with the historical data, the current on-chain reality, and the honest uncertainty that most “guru” content skips.
Bitcoin’s supply isn’t controlled by a central bank. It’s controlled by code written by Satoshi Nakamoto in 2009. Roughly every four years, or every 210,000 blocks mined, the reward paid to Bitcoin miners for validating transactions gets cut in half.
That’s it. That’s the whole mechanism. But the implications are enormous, because it directly throttles how much new Bitcoin enters circulation.
Here’s the halving schedule so far:
Every 210,000 blocks, new issuance is cut in half again — a slow march toward Bitcoin’s hard cap of 21 million coins, with the final fraction of a coin expected to be mined around the year 2140.
The economic logic is straightforward: if demand stays constant while new supply entering the market gets cut in half, price should, in theory, rise. For three consecutive cycles, that’s more or less exactly what happened.
This is the part most explainers get wrong — they treat the halving cycle as one story, when it’s really four increasingly different stories.
Cycle 1 (2012): Bitcoin traded around $12 at the halving. Within about a year, it was pushing toward $1,000. That’s a roughly 100x move — a number so extreme it’s only possible in a market that small and immature.
Cycle 2 (2016): Bitcoin sat near $650 at the halving. By the euphoric peak of December 2017, fueled by retail mania and the ICO boom, it touched almost $20,000 — about a 30x multiplier.
Cycle 3 (2020): Bitcoin was trading around $8,500 at the halving, in the depths of pandemic uncertainty. It went on to hit roughly $69,000 in late 2021 — close to an 8x return.
Cycle 4 (2024): Bitcoin was already near $64,000 on halving day — itself remarkable, since previous halvings had happened in bear or recovery markets, not near record highs. It later touched a new all-time high near $126,000 in October 2025. The multiplier from halving day to peak: roughly 2x.
Lay those four numbers next to each other — 103x, 30x, 8x, 2x — and the trend is unmistakable. Each cycle has delivered a dramatically smaller percentage return than the one before it. That’s not a bug in the data; it’s the natural result of a market that keeps getting bigger, deeper, and more institutionally owned.
The other consistent historical pattern: every halving has been followed by a new all-time high within roughly 12–18 months. That streak is intact — four for four. The open question is whether it stays intact for a fifth time in 2028.
Three structural shifts separate the current cycle from everything that came before it, and they’re worth understanding individually rather than lumping them together as vague “this time it’s different” talk.
In 2012, the halving removed about 3,600 BTC per day from new issuance — a massive deal in a market where daily trading volume was thin and illiquid. By the 2024 halving, that number had shrunk to roughly 450 BTC per day, worth around $28 million against a market moving billions of dollars daily. By the 2028 halving, daily issuance drops again, from roughly 450 BTC to about 225 BTC.
Compare that 225 BTC/day figure to spot Bitcoin ETF demand, which has swung between 5,000 and 20,000 BTC per day in active buying months. The math is stark: the halving’s direct supply impact is now a rounding error next to institutional flows. CryptoQuant CEO Ki Young Ju has publicly argued the cycle theory is effectively “dead” for exactly this reason — the mechanism that mattered in a thin 2012 market is arithmetically trivial in a multi-trillion-dollar one.
The approval of spot Bitcoin ETFs in January 2024 fundamentally rewired how demand enters the market. For the first time, pension funds, RIAs, and corporate treasuries could buy Bitcoin exposure through a regulated brokerage account instead of a crypto exchange. That pulled demand forward — Bitcoin hit its cycle-four all-time high before the traditional post-halving euphoria phase even really got going, breaking the old script where prices climbed for a year-plus after the halving before topping out.
This also means Bitcoin now correlates more tightly with traditional risk assets, interest-rate expectations, and global liquidity conditions than with its own internal supply schedule. When the Fed cut rates in December 2025, Bitcoin didn’t rally the way old playbooks predicted — a signal that macro forces are now competing with, and sometimes overriding, crypto-native catalysts.
A growing camp of analysts now argues Bitcoin has shifted from one long four-year cycle to shorter, overlapping cycles driven by global liquidity expansion and contraction — compressed boom-bust patterns that front-run the halving rather than follow it. Under this framework, institutional access and faster information flow mean the market “prices in” the halving’s effects well before the event itself, making the old calendar-based timing models far less reliable for entry and exit decisions.
None of this means the halving is irrelevant. Every analyst tracking this debate agrees it still shapes long-term scarcity. What’s changed is whether it’s still the dominant short-term price driver — and the honest answer, based on the data, is probably not anymore.
As of September 2026, Bitcoin trades in the upper-$70,000 range, roughly 40% below its October 2025 peak near $126,000. Based on the structure of prior cycles, several analysts place the current bear-market bottom window somewhere between October 2026 and January 2027 — though, as always with Bitcoin, that’s a pattern-based estimate, not a guarantee.
The next halving is projected for around April 2028, with block 1,050,000 marking the moment the reward falls to 1.5625 BTC. If the historical 12–18 month post-halving rally pattern holds a fifth time, that points toward a potential cycle peak sometime between late 2029 and early 2030 — though given how dramatically cycle four already deviated from the script, treating that as a confident prediction rather than a rough historical echo would be a mistake.
The takeaway isn’t “the halving doesn’t matter” or “the four-year cycle is dead.” It’s more nuanced, and more useful:
Bitcoin isn’t repeating its history. It’s rhyming with it — same underlying mechanism, wildly different market wrapped around it. Understanding that distinction is the difference between using the halving as one useful data point among many, and treating it as a crystal ball it was never built to be.
When is the next Bitcoin halving?
The next halving is projected for around April 2028, at block height 1,050,000, when the block reward drops from 3.125 BTC to 1.5625 BTC. The exact date shifts slightly based on network hash rate and block times.
Does the Bitcoin four-year cycle still work?
It’s genuinely debated. The pattern of a new all-time high within 12–18 months of each halving has held for four consecutive cycles, but the percentage returns have shrunk dramatically each time, and institutional/ETF demand now overshadows the halving’s direct supply impact.
Why does each Bitcoin halving cycle produce smaller returns?
Because Bitcoin’s market has grown from a thin, illiquid niche market in 2012 to a multi-trillion-dollar asset class. The same fixed percentage cut in new supply has a much smaller relative impact on a much larger, more liquid market.
What’s different about the current Bitcoin cycle compared to past ones?
Spot Bitcoin ETFs (approved January 2024) pulled institutional demand forward, Bitcoin hit its cycle all-time high with a much smaller multiplier than prior cycles, and macro factors like interest rates now compete with the halving as primary price drivers.
This article is for informational and educational purposes only and does not constitute financial advice. Cryptocurrency markets are highly volatile — always do your own research before making investment decisions.
Bitcoin’s Halving Cycle: What History Says vs. What’s Different This Time was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Why algorithmic selling following the 5.4% PPI print met immediate institutional absorption, confirming the strength of the $76,000 structural base.
by Sheni Ogunmola
Daily Morning Logic | Institutional Equity Research
Financial feeds opened the session under aggressive selling pressure following the latest Producer Price Index (PPI) print, which rose 0.4% month-over-month, pushing annualized wholesale inflation to 5.4%. Systematic trading desks immediately priced in hawkish interest rate risks, triggering an automated risk-off impulse across major derivative platforms.
The knee-jerk reaction was sharp and mechanical: Bitcoin plummeted 2.2% to an intraday low of $76,464, wiping out $363 million in leveraged long positions within hours.
Social feeds instantly turned defensive, with retail analysts warning of an imminent breakdown toward $70,000 and the invalidation of the late-summer recovery. Yet, by mid-session, the entire move was aggressively absorbed, with price snapping straight back toward the $78,680 mark.
Separating paper leverage reactions from physical order-book clearing reveals that this flush was an execution event rather than a regime change.
Examining cross-exchange order flow and on-chain cost bases exposes three critical mechanics that prevented a deeper cascade:
The prevailing retail assumption is that any uptick in inflation prints must trigger a secular bear trend for digital assets.
Applying the Dhandho mental model — anchoring decisions on bounded downside and asymmetric expansion — highlights the logical failure of that perspective:
“Macro headlines generate the volatility; structural balance sheets provide the absorption. Never confuse a rate-expectation margin flush with an institutional exit.”
Holding scarce monetary assets and dominant infrastructure tollbooths remains the optimal posture in an environment defined by persistent inflation and high fiscal deficits. As long as spot order books continue absorbing headline-driven flushes above $76,000, current price action represents accumulation within a tightening structural range.
Legal Notice: This research report is compiled strictly for educational and informational purposes. We are not licensed financial advisors. Digital asset investments carry substantial risk of capital loss. Conduct independent due diligence before allocating capital.
The Macro Inflation Flush was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Bitcoin Magazine
A Bitcoin Berkshire Model: Orange Juice
The corporate Bitcoin landscape is currently dominated by a single, aggressive playbook. Companies following this model rely almost exclusively on capital markets and financial engineering—issuing debt, preferred stock, and common equity at premiums—to turn their corporate balance sheets into amplified, high-beta proxies for Bitcoin.
Now, Orange Juice, a firm launched by partners at ego death capital, is introducing a brand-new corporate strategy to the mix. Rather than acting as a financial engineering vehicle reliant on capital markets, Orange Juice plans to acquire profitable American businesses, hold them indefinitely, improve their operations, and direct part of their excess cash flow into a Bitcoin treasury. While the dominant model turns investor demand for credit securities into Bitcoin, Orange Juice wants to turn sustainable operating earnings into Bitcoin.
To understand the value of this new approach, you have to understand its primary departure from the prevailing meta: Orange Juice is deliberately not “max long” Bitcoin. By anchoring its balance sheet to traditional operating earnings, the company trades away explosive bull market leverage in exchange for a decorrelated return stream that acts as a vital ballast during bear market winters.
The core argument for the Orange Juice model becomes clearest during a Bitcoin bear market. Bitcoin companies that are driven by capital markets flows work best when investors are eager to finance them. Strong Bitcoin prices support higher equity valuations, which makes share issuance highly accretive, while healthy credit markets lower the cost of borrowing. However, during market downturns, this dynamic reverses. Equity premiums compress, credit becomes expensive, and capital markets become far less receptive. As a result, pure-play Bitcoin balance sheets lose their purchasing power precisely when Bitcoin is trading at its cheapest valuations.
Orange Juice, in theory, would be able to use its non-Bitcoin enterprise value as a buffer against these “very awful months”. A durable operating business like a pest control firm, a managed IT provider, or an industrial maintenance contractor can all continue to collect customer payments and generate free cash flow even during a 50% Bitcoin drawdown. This steady operational cash provides the company with unencumbered, countercyclical purchasing power when external capital markets are closed. At its core, the non-Bitcoin business serves as a diversification venue, providing a decorrelated return stream that smooths out enterprise volatility and protects the firm from a fearful capital market. It is also applicable to leveraged financing, because free cash flow can be used to pay preferred dividends or debt coupons, which can eliminate the need to issue equity at bear market lows.
Because Orange Juice isn’t purely a Bitcoin balance sheet company, its downside protection comes with a clear structural trade-off.
Every acquisition Orange Juice makes introduces a cost of capital and an implicit hurdle rate: Bitcoin itself. If Orange Juice has $20 million in capital, it must decide whether to deploy that $20 million directly into Bitcoin on day one or use it to acquire a business generating (as an illustration) $3 million in annual cash flow. Even if the business yields an attractive 15% initial cash return, Orange Juice still has to answer whether that business will ultimately create more Bitcoin-denominated value than simply holding the underlying asset.
In a sustained bull market, this model obviously creates an inherent drag. A business returning 12 – 15% annually can prove to be a poor capital allocation decision if spot Bitcoin compounds much faster, and Orange Juice’s equity will naturally lag the explosive returns of amplified pure-play amplified “digital equity.” Orange Juice is effectively betting that the ability to aggressively buy the dip during bear markets (or at least service liabilities without selling Bitcoin or issuing equity) using operational cash will ultimately compensate for the opportunity cost of not putting every dollar directly into Bitcoin.
For this countercyclical engine to work, the model depends heavily on acquisition quality and operational execution.
Unlike strategies that focus primarily on marketing to the capital markets and on financial engineering, Orange Juice’s success would depend on management’s ability to execute M&A and manage operating businesses. The ideal subsidiary must generate recurring revenue, require minimal maintenance capital expenditures, carry modest leverage, and remain resilient through broader economic recessions.
Weak or highly cyclical businesses damage the core thesis by losing its cash flow at the exact moment Bitcoin and the capital markets come under pressure. If an acquired subsidiary fails during a downturn, it could turn into an operational drain. Therefore, management must excel at both acquiring businesses at attractive free-cash-flow multiples and running them efficiently enough to maintain a predictable stream of excess cash for Bitcoin accumulation.
Corporate Bitcoin strategy no longer has to be a game dominated by “digital securities.” While pure-play Bitcoin companies operate as high-beta vehicles designed to maximize upside during favorable market regimes, the Orange Juice model offers an alternative framework designed for resiliency through decorrelation.
By accepting lower beta and sacrificing maximum leverage in a bull market, Orange Juice, in theory, creates an operational foundation for unconditional purchasing power through every stage of the market cycle.
Disclaimer: This content was prepared on behalf of Bitcoin For Corporations for informational purposes only. It reflects the author’s own analysis and opinion and should not be relied upon as investment advice. Nothing in this article constitutes an offer, invitation, or solicitation to purchase, sell, or subscribe for any security or financial product.
This post A Bitcoin Berkshire Model: Orange Juice first appeared on Bitcoin Magazine and is written by Allard Peng.
Kalshi traders assign a 79% probability to a 25-basis-point Fed hike at the Wednesday, September 16, 2026, FOMC meeting, with 19% pricing in no change and less than 1% split between a 50-basis-point move or either a 25-basis-point or 50-plus-basis-point cut, according to Kalshi markets.
That’s a market-implied probability, not a confirmed decision. Our call is that the Fed delivers the hike and pairs it with a higher-for-longer message, a combination that could pressure Bitcoin even if the rate move itself is already priced in.
The tension for traders isn’t really whether the Federal Reserve hikes. At 79%, that outcome is close to consensus. The tension is whether the FOMC’s accompanying language locks in expectations for further tightening or leaves room for a pause, and that distinction is what typically moves liquidity-sensitive assets in the hours after the statement drops.
The macro backdrop gives the Fed cover to move. The US Bureau of Labor Statistics reported that the Consumer Price Index rose +0.4% month over month in August and +3.4% over the trailing 12 months, a re-acceleration from July’s +0.1% monthly print.
Core CPI, which strips out food and energy, climbed 0.3% for the month and 2.4% year over year, still running well above the Fed’s 2% target.
Energy did much of the heavy lifting. BLS data show energy prices up 2.1% in August and 16.3% year over year, with gasoline alone up +3.9% for the month and +27.4% annually.
That’s a separate data point from the FOMC decision itself: the CPI release landed September 11, five days before the rate call, but it’s the clearest evidence the inflation fight isn’t over, and the strongest input behind the hike thesis.
For a deeper look at how that print maps onto specific price zones, see this breakdown of August CPI and Bitcoin levels.
— Eleanor Terrett (@EleanorTerrett) September 14, 2026
NEWS: Senate Republicans have released new Clarity Act text featuring a revised ethics proposal agreed to by President Trump.
The text also contains changes to the sections on the Blockchain Regulatory Certainty Act (BRCA), stablecoin yield, and the so-called “Ag title.”…
A 79% probability suggests on Kalshi the hike is largely priced in, meaning Bitcoin and other risk assets often don’t react significantly to such anticipated outcomes.
Real market moves typically come from details like the statement’s tone, the dot plot, and any voting dissents, which current pricing doesn’t reflect.
Traders focus more on the Fed’s guidance than the actual hike, as a hawkish stance could tighten financial conditions and reduce risk appetite.
Conversely, signaling that the tightening cycle is nearing its end could change the market’s reaction to the same 25-basis-point hike. Essentially, traders are betting on which message the Fed will convey rather than the hike itself.
Three scenarios shape the near-term outlook, each representing forecasts rather than definitive outcomes.
Base Case: The Fed hikes by 25 basis points and issues hawkish guidance, likely pressuring Bitcoin and liquidity-sensitive assets, as this often strengthens real yields and the dollar.
Second Scenario: If the Fed hikes but clearly indicates it’s the final move in the tightening cycle, markets may view this as supportive for Bitcoin, turning a rate hike into a bullish signal based on the accompanying language.
Third Scenario: The Fed holds rates steady, currently assigned a 21% probability. This outcome would challenge the base case and likely create volatility, as it would be a surprise against strong hike expectations. The low odds of a 50-basis-point hike or a cut suggest limited potential for drastic shifts.
Don’t Miss: The Hottest Meme Coin Opportunities Silently Climbing the Crypto Ranks in September
The post Bitcoin Faces Fed Message Test as Kalshi Hike Odds Reach 79% appeared first on Cryptonews.
Inside the false positives, bias, and liability gaps AI creates in crypto compliance
The expansion of financial activities related to digital assets has created a difficult compliance problem.
Virtual asset service providers (VASPs) process large volumes of transactions across wallets, exchanges, blockchains, and jurisdictions – simultaneously, regulators expect them to verify customers, monitor transactions, detect suspicious activity, screen for sanctions, and keep detailed records.
Traditional compliance systems weren’t built for that kind of speed and volume.
Artificial intelligence offers a possible solution.
It can process large datasets, identify transaction patterns, assess risk, and automate parts of compliance. For crypto businesses, this creates an opportunity to make compliance faster and more responsive.
However it also creates a legal problem.
If a VASP relies on an AI system to make or support compliance decisions, who remains responsible when the system gets it wrong?
That question is becoming increasingly important as AI moves from assisting compliance teams to influencing decisions that can directly affect customers and transactions.
Compliance in crypto markets presents some characteristics that are different from traditional financial services.
Blockchain transactions run 24/7, across borders, often between wallet addresses that don’t obviously reveal who’s actually behind them. A VASP may therefore need to assess not only its customer but also the transaction history associated with a wallet and a single customer may interact with multiple wallets, decentralised protocols, exchanges, and other services.
That’s an enormous amount of information for a human team to review by hand – which is exactly the kind of problem AI is good at.
AI can support several stages of the compliance process.
AI can assist with customer onboarding by automating parts of identity verification.
The systems can analyse identification documents, compare information across databases, detect inconsistencies and, where appropriate, support biometric or liveness verification. This can reduce the amount of manual work involved in onboarding customers but automation does not eliminate the need for proper customer due diligence.
A system can verify the authenticity of a document without confirming the identity of the presenter. Thus, the quality of the data and the design of the verification process are crucial.
This may be one of the most significant applications of AI in crypto compliance.
Instead of reviewing transactions one at a time, AI can scan for patterns across thousands of wallets at once – rapid movement between addresses, connections to high-risk wallets, behavior that looks designed to dodge reporting thresholds, or links between addresses that seem unrelated on the surface.
The system can then assign a risk score or generate an alert for further investigation.
An AI-generated alert doesn’t confirm money laundering or fraud; it just indicates a pattern that may need human investigation.
AI can assist crypto businesses with sanctions and risk screening. A compliance system may compare wallet addresses, transaction histories, and customer information against relevant sanctions lists and other risk databases.
It can also help identify relationships that are not immediately apparent from a simple name or address search. This can be particularly useful in a market where transactions may involve pseudonymous blockchain addresses rather than conventional bank-account identifiers but the reliability of the outcome depends heavily on the information being used.
An incomplete database misses real risks, and an oversensitive model buries compliance teams in false alarms.
AI can also assist with the process that follows transaction monitoring.
Where a system identifies potentially suspicious activity, it can help compliance teams organise the relevant information, prepare internal case files and support regulatory reporting.
Natural language processing can also assist in reviewing regulatory guidance and identifying changes in compliance requirements.
Automated reporting comes with its own risks. A suspicious transaction report is more than a technical output; it can carry regulatory and legal implications. A VASP must therefore understand how the automated system makes decisions and ensure proper oversight of the reporting process.
A VASP can use AI for compliance tasks, but the AI does not become the regulated entity; the business still holds the regulatory responsibility.
If an AI system fails to identify suspicious transactions, incorrectly classifies customers as low-risk, or produces defective reports, the VASP may still have to answer to its regulator.
Using someone else’s AI tool doesn’t transfer your compliance obligations to them.
This follows a fundamental principle in financial regulation that outsourcing or automating a function does not equate to relinquishing accountability for that function.
In practice, that means a crypto business needs to actually understand its own AI system – what it does, what data it uses, how it was tested, and where a human needs to step in.
AI systems can sometimes miss detecting suspicious activity or misidentify legitimate actions as potentially harmful.
Imagine a customer who regularly transfers digital assets between several wallets because they use different wallets for different purposes. An AI model may interpret the pattern as suspicious because it resembles behaviour associated with layering or asset movement.
The customer’s account may then be restricted or subjected to additional review. If this happens repeatedly, legitimate customers get fed up with unnecessary friction, and the compliance team drowns in false alarms.
The objective therefore is to create a system capable of distinguishing between unusual activity and genuinely meaningful risk.
AI systems learn from data.
If the data used to train or configure a system is incomplete, inaccurate or biased, the resulting compliance decisions may also be problematic.
For example, a risk model may disproportionately classify certain transaction patterns as high risk because of the way its historical data was constructed.
How then does a VASP know that its AI compliance system is producing fair and reliable results?
The answer requires more than purchasing an AI compliance tool. Businesses may need appropriate testing, validation, monitoring and periodic review of the system.
A human compliance officer can generally explain why a customer was flagged for review.
An AI system may produce a risk score without providing an explanation that a human reviewer can easily understand.
That’s a real problem when the AI’s decision affects someone’s account or blocks their transaction. If a business restricts a customer because a model called them high-risk, someone inside that business needs to be able to explain why – in plain terms, to the customer and potentially to a regulator.
This means that the business should have sufficient understanding and documentation to explain and defend the compliance process.
AI-powered compliance systems may process significant amounts of personal and financial information.
This can include: identity documents, biometric information, transaction histories, wallet addresses, device information, IP addresses, behavioural patterns and information about counterparties.
When these datasets are combined, a VASP may be able to create a detailed picture of a customer’s financial behaviour.
That creates data-protection and privacy concerns.
The fact that blockchain transactions may be publicly visible does not mean that every piece of information derived from those transactions can be processed without restriction.
A VASP using AI therefore has to consider not only whether the system is effective but also whether the data is collected, processed, stored and shared lawfully.
Picture three failures: the AI misses genuine fraud, wrongly tags a legitimate customer as high-risk, or blocks a real transaction on a false positive.
In each case, the technology may have failed.
However, the legal responsibility does not necessarily stop there.
The VASP chose the system.
The VASP integrated it into its compliance process.
The VASP relied on its output.
The VASP remains subject to the regulatory obligations applicable to its business.
This does not mean an AI provider can never be liable. Where the provider’s system fails to perform as contractually promised, contains a material defect, or the provider’s own conduct contributes to the compliance failure, liability may arise under the applicable law.
However, the VASP remains responsible for its regulatory obligations because it chose to use an AI system.
The most workable model right now is AI and humans working together, not AI replacing the team outright.
Let AI do what it’s good at: collect, analyze, detect, score, flag. Human compliance professionals can then investigate, assess context, and make decisions where human judgment is necessary.
Human involvement is crucial for high-impact decisions, and the required level varies based on the function being automated.
The key is to ensure that automation does not become a substitute for accountability.
If AI is becoming part of the compliance infrastructure of a VASP, then AI governance itself should become part of the compliance framework.
Any business using these tools should be able to answer some basic questions:
What compliance function does the AI perform? What data does it rely on? How was the system tested? How accurate is it? How are false positives handled? Who reviews its decisions? How are errors corrected? How is the system monitored after deployment? What happens when the model changes?
These questions are critical because AI systems can significantly accelerate and expand the scale of compliance decision-making.
Regulators aren’t against AI in compliance – used well, it can make AML systems faster and more effective at catching real risk. However, regulators also need assurance that businesses are not using AI as a black box.
A VASP should not be able to say:
“The algorithm made the decision.”
That defense may be insufficient where the business remains responsible for the underlying compliance function.
Regulatory attention will continue to shift toward governance, accountability, data quality, testing, explainability, and audit trails, not just whether a company has “AI-powered compliance” on its website.
The use of AI in crypto compliance is not necessarily a choice between humans and machines.
AI is genuinely well-suited to problems involving huge volumes of data and constant monitoring. Human judgment still matters wherever context, discretion, and real consequences are on the line.
The real challenge is deciding where the boundary should be. AI can make crypto compliance faster, broader, and sharper.
What it can’t do is absorb the responsibility that comes with getting it wrong. The real test for crypto companies is whether they can use it without turning it into a gap where accountability quietly disappears.
If you enjoy analytical commentary on digital asset regulation, crypto markets, and emerging financial technologies, consider subscribing to my newsletter where I share additional research, commentary, and industry insights.
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Can Crypto Companies Outsource Compliance to AI? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
A year ago, Zcash was crypto’s forgotten anonymity project — a niche coin traders mentioned in the same breath as “delisted” and “dead narrative.” Today, it’s outperforming every major sector in crypto, Wall Street’s biggest asset managers are racing to list it, and a handful of short sellers are watching their positions get vaporized in real time.
ZEC just crossed $1,000 for the first time in nearly a decade — and it didn’t stop there. Within days, the price pushed past $1,200, putting Zcash’s market cap north of $20 billion and vaulting it into the top 10 cryptocurrencies by market value. For an asset that traded below $30 as recently as early 2025, that’s not a rally. That’s a full-blown institutional re-rating.
So what changed? Why is the same “privacy coin” category that regulators spent years trying to strangle suddenly the hottest trade on the Street? Here’s the full breakdown.
On the first weekend of September 2026, ZEC surged roughly 20% in 24 hours, blowing through the psychological $1,000 level after opening the day near $828. Trading volume spiked to over $1.2 billion in a single day, and roughly $35 million in leveraged short positions were liquidated almost instantly.
That was just the opening move. Within a week, ZEC was trading above $1,200, with intraday highs near $1,255. Zoom out further and the numbers get even more staggering: ZEC is up more than 2,400% over the past year, and the privacy coin sector as a whole has now outpaced Bitcoin’s own October 2025 all-time high by more than 200%. No other major crypto sector can say the same.
This isn’t retail FOMO chasing a meme. This is a structural repricing — and it has a clear catalyst.
Here’s the headline institutional investors actually care about: Grayscale converted its Zcash Trust into a publicly listed, NYSE Arca-traded exchange-traded product.
For years, the biggest barrier keeping traditional finance away from privacy coins wasn’t performance — it was access and compliance. Fund managers, pension funds, and RIAs can’t just buy a token off a decentralized exchange. They need a regulated, exchange-listed wrapper that fits inside existing custody and compliance frameworks. Bitcoin got that unlock with spot ETFs in 2024. Zcash just got it in 2026 — the first privacy coin ever to cross that bridge.
Since the ETF conversion, Grayscale’s Zcash product has already pulled in hundreds of millions of dollars in net assets, and that number is climbing by the week. Every dollar that flows into that fund has to be backed by real ZEC, which mechanically tightens available supply at the exact moment demand is exploding.
This is the same playbook that took Bitcoin from a “risky internet money” narrative to a boardroom conversation. Zcash is now walking that same path — just faster.
For most of the last decade, privacy-focused cryptocurrencies carried a stigma. Exchanges delisted them under regulatory pressure. Compliance teams treated shielded transactions as a red flag. The category was functionally radioactive for institutional capital.
Several forces have quietly dismantled that stigma:
Put those four forces together and you get exactly what we’re seeing: a sector re-rating from “compliance risk” to “compliance-ready privacy exposure” — practically overnight.
Every explosive rally has a losing side, and this one is no exception. Traders who bet against ZEC on the way up are now facing brutal, mounting losses. One whale’s roughly $47 million short position is reportedly staring down a liquidation level near $2,292 — meaning if ZEC keeps climbing at even a fraction of its recent pace, that position gets wiped out entirely.
This kind of short squeeze dynamic tends to feed on itself. As shorts get liquidated, exchanges automatically buy back the asset to close those positions, which pushes the price up further, which triggers the next wave of liquidations. It’s part of why ZEC’s move has been so violent in both directions — and why volatility, not just upside, is now baked into this trade.
This is the question every trader is asking right now, and reasonable analysts land on both sides.
The bull case: Institutional ETF flows are still early. Grayscale’s ZEC product has only captured a few hundred million dollars so far — a rounding error compared to what Bitcoin ETFs eventually absorbed. If even a modest slice of institutional allocators decide privacy exposure belongs in a diversified crypto portfolio, current price levels could look cheap in hindsight. Technical indicators across multiple timeframes remain firmly bullish, with rising moving averages on both short-term and long-term charts.
The bear case: ZEC’s price has nearly doubled in a single month and is up over 20x year-over-year. Parabolic moves of this magnitude almost always see sharp corrections, and elevated leverage in the futures market means volatility could cut just as violently to the downside as it did to the upside. Broader macro pressure — including rising odds of a Fed rate hike — has already dragged the entire crypto market lower even as ZEC held up better than most.
The honest answer: nobody knows exactly where ZEC goes next. What’s clear is that the reason it’s here — a genuine institutional access unlock, tightening supply, and a growing “digital privacy” narrative — is structurally different from a typical hype cycle. That’s exactly why traders are paying attention instead of dismissing it.
Volatility like this creates opportunity — and risk — in equal measure. A coin that can rally 20% in a day can also correct 20% in a day. Manually watching charts, setting alerts, and trying to time entries and exits around ETF flow data, whale liquidation levels, and shifting macro sentiment is a full-time job most traders don’t have time for.
That’s exactly the environment automated trading strategies are built for.
ZEC’s move from under $30 to over $1,200 in a year is the kind of setup traders wait years for — and this cycle isn’t over. If you want exposure to Zcash’s momentum without babysitting every candle, subscribe to Hyperlyx AI and let automated, data-driven strategies trade ZEC for you around the clock.
Hyperlyx AI is built to spot the exact kind of volatility and momentum shifts driving this rally — executing faster and more consistently than manual trading ever could.
Get early access to Hyperlyx AI today and start putting the ZEC breakout to work in your portfolio.
This article is for informational purposes only and does not constitute financial advice. Cryptocurrency markets are highly volatile — always do your own research and consult a licensed financial advisor before trading.
ZEC Breaks $1,000 — Why Wall Street Now Wants Privacy Coins was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Ethereum looks unusually calm.
After climbing more than 30% in August, ETH has spent the first part of September moving in a narrow range, repeatedly testing the $2,500 mark without finding enough momentum to break higher.
But beneath that quiet price action, the Ethereum market is anything but still.
Treasury companies are continuing to accumulate ETH. Exchange balances are falling. ETF demand has cooled but remains positive overall. At the same time, developers are preparing major changes to Ethereum’s infrastructure, with Glamsterdam approaching and the longer-term Hegotá roadmap beginning to take shape.
So while ETH is moving sideways, several important pieces are falling into place.
ETH has spent much of the recent period between $2,480 and $2,520.
The repeated attempts to reclaim $2,500 show that buyers are still defending the psychological level, but resistance around $2,525–$2,535 has kept the upside contained. Beyond that, $2,550 remains the more important barrier.
A decisive move above $2,550 could put $2,600 back on the radar and potentially open a path toward the $3,000 area if momentum returns.
The downside is equally clear.
The first support zone sits around $2,475–$2,485. A break below it could expose $2,430–$2,445.
Some technical charts have also produced a golden cross, generally viewed as a longer-term bullish signal. But technical indicators alone cannot overcome weak market participation.
That is particularly important now, with investors watching the Federal Reserve meeting scheduled for September 15–16.
For the longer-term picture, current ethereum price prediction scenarios are likely to depend heavily on whether ETH can turn this consolidation into a sustained breakout rather than another temporary rally.
One of the clearest differences in the current market is happening between different groups of ETH holders.
Wallets holding between 100 and 10,000 ETH reportedly sold around 307,000 ETH last week.
Whales, meanwhile, bought roughly 82,000 ETH.
That does not necessarily mean the market is turning bearish. It may simply indicate that some investors are taking profits after August’s rally while larger players are building longer-term positions.
BitMine Immersion Technologies is perhaps the clearest example.
The company bought another roughly 28,086 ETH, worth around $69–70 million, bringing its reported holdings to approximately 5.93 million ETH.
That represents close to 4.9% of Ethereum’s total supply.
The scale is difficult to ignore. BitMine has continued buying even while its holdings remain below the average purchase price on paper, with a large portion of its ETH also being staked.
This is a very different approach from short-term trading.
Abraxas Capital has also been active.
The firm reportedly purchased around 13,000 ETH, worth roughly $32 million, in the spot market.
But the reason is particularly interesting: part of the purchase was reportedly used to hedge a much larger short position of around 141,000 ETH on Hyperliquid.
In other words, not every large ETH purchase represents a straightforward bullish bet.
Elsewhere, an early Ethereum holder reportedly sold around 11,023 ETH through Wintermute, while Justin Sun continued moving ETH after withdrawing additional funds from Lido.
The takeaway is simple: whale activity is increasing, but it is not pointing in one clear direction.
Some large holders are selling. Others are accumulating. Some are hedging.
The spot Ethereum ETF market tells a similar story.
Weekly inflows reportedly fell to around $218 million, down sharply from approximately $824 million the previous week. Some individual trading sessions also saw net outflows.
That is a noticeable slowdown.
Still, it would be premature to interpret weaker ETF flows as disappearing institutional interest.
Another part of the supply picture is moving in the opposite direction.
More than 116,000 ETH reportedly left exchanges within a 48-hour period at one point. Fewer ETH sitting on exchanges can mean less immediate selling pressure, although it does not guarantee that prices will rise.
Institutional infrastructure is also expanding. Standard Chartered has reportedly increased access to deliverable ETH spot trading for institutional clients in the UAE.
The market, therefore, is seeing slower demand in one area while institutional participation continues to develop elsewhere.
If the price chart looks boring, Ethereum’s development roadmap certainly does not.
The Ethereum Foundation’s Protocol Cluster recently released its first unified ranking of 62 proposed EIPs for the planned Hegotá upgrade.
Two proposals were placed among the highest-priority changes.
EIP-7805, or FOCIL, is aimed at strengthening censorship resistance by helping enforce transaction inclusion.
EIP-8141, known as Frame Transactions, could address one of Ethereum’s long-standing user-experience problems: needing ETH simply to pay transaction fees.
The proposal could eventually allow users to pay gas with stablecoins such as USDC or USDT while also supporting native account abstraction and new authentication approaches.
That could make interacting with Ethereum feel considerably simpler for ordinary users.
There is also a much longer-term objective behind the roadmap: quantum resistance for Ethereum’s Layer 1, with December 2029 currently highlighted as an important target.
Hegotá is still further down the road.
Before that comes Glamsterdam, Ethereum’s next major upgrade, currently targeted for Q4 2026.
The upgrade is focused heavily on improving Layer-1 performance.
Developers are working on enshrined proposer-builder separation, block-level access lists, gas repricing and higher gas limits.
One of the targets is a gas-limit floor of around 200 million, which could significantly increase Ethereum’s capacity if implemented successfully.
The Sepolia testnet fork is expected around September 28 or early October.
That makes the coming weeks important for more than just ETH traders. They will also provide another look at how Ethereum’s technical roadmap is progressing toward mainnet.
Ethereum’s broader ecosystem is changing alongside the core network.
Lido has launched the testnet for its 0x02 Community Staking Module, designed to support compounding validators with balances of up to 2,048 ETH.
If approved for mainnet, the change could improve capital efficiency for staking operators.
Scroll, meanwhile, is taking a very different path.
The Ethereum Layer-2 project has announced plans to gradually transition from a general-purpose public chain toward a more application-specific network built around its Compass AI ecosystem.
The transition is expected to take roughly nine months. Scroll also plans to move the SCR token to Ethereum mainnet without changing its existing supply or tokenomics.
Elsewhere, Trezor has added Clear Signing support through ERC-7730, another effort aimed at making blockchain transactions easier to understand before users approve them.
Ethereum does not currently have one giant catalyst capable of deciding its next move.
Instead, several smaller forces are pulling the market in different directions.
Retail holders are selling.
Treasury companies are accumulating.
ETF inflows have slowed.
Exchange balances have declined.
ETH is sitting near $2,500.
And Ethereum’s developers are preparing some of the network’s most important changes in years.
That leaves traders with a fairly simple near-term map.
A sustained move above $2,550 would strengthen the bullish case, while a break below $2,475 could shift attention toward $2,430–$2,445.
Until one of those areas gives way, Ethereum may continue to consolidate.
But the lack of dramatic price movement should not be confused with a lack of activity.
The market may be quiet on the surface, but underneath it, Ethereum is going through a period of accumulation, repositioning and infrastructure development.
The next major move in ETH may ultimately depend not on one headline, but on which of these trends gains the upper hand.
Ethereum Is Quiet at $2,500. But the Bigger Story Is Happening Underneath was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
You can borrow against Bitcoin, stake it, trade it on-chain, post it as margin for perpetuals, supply it to a liquidity pool, convert it into stablecoins to pay someone, and use it to buy tokenised stocks. Two of those are worth doing for most holders, two are worth doing for a specific kind of trader, and three are worth skipping unless you have a reason. None of them happen on Bitcoin’s own chain, so every one of them starts with moving value somewhere else.
Bitcoin holds more value than anything else in crypto and does less with it than almost anything else in crypto. At roughly $78,482 per coin on 8 September 2026, its market capitalisation sits near $1.57 trillion — 57% to 59% of the entire asset class, depending on the tracker. It is the deepest and most widely held pool of capital in the industry.
Almost none of it is doing anything. Spark’s BTCFi research, published 29 May 2026, put Bitcoin’s DeFi footprint at 91,332 BTC — 0.46% of circulating supply, or about 0.8% counting every wrapped variant and all of Babylon’s staking. Threshold’s July 2026 follow-up measured roughly 91,000 BTC. The same research puts Ethereum’s DeFi penetration near 15% of ETH supply.
So the gap is roughly thirty-fold, and it is not a demand problem. Holders want liquidity without selling; the tax event and the lost position are both real costs. The gap exists because of where Bitcoin lives.
Bitcoin’s base chain has no lending markets, no perpetuals, no automated market makers and no stablecoins, and that is a design decision rather than a missing feature. Bitcoin Script can verify a signature, enforce a timelock and check a hash preimage. It cannot run the persistent, composable contract state a money market or an order book needs. Ten-minute blocks make anything price-sensitive slow, and there is no native dollar to price a loan in.
So every use case below has the same first step: value has to move to a chain that can execute it. That step is the part most guides skip, and it is where the real cost and the real risk live. Once value is there, you no longer hold Bitcoin. You hold a token that tracks its price, whose risk is the issuer’s or the bridge’s.
Borrowing against Bitcoin is the most used thing you can do with it, and the only one here that leaves your position intact. You deposit a Bitcoin-denominated token as collateral, borrow USDC or USDT against it, and repay later. No sale, so in most jurisdictions no disposal at the point of borrowing.
Aave is the biggest venue: over $14.6 billion in total value locked as of mid-2026, more than $3 billion of it in Bitcoin markets. It accepts WBTC and cbBTC, with WBTC carrying a 73% maximum loan-to-value and a 78% liquidation threshold. Morpho is second at over $1.5 billion in BTC vaults.
The honest part: this is a margin loan, and margin loans liquidate. Borrow at 50% LTV against a 78% threshold and your collateral only has to fall about 36% before the protocol sells it for you, at a price you did not pick. Bitcoin has produced that drawdown repeatedly.
Bitcoin staking pays a yield for locking BTC in a timelock script on the Bitcoin chain itself, without wrapping or bridging it anywhere. The coins stay under your keys; the stake secures other proof-of-stake networks, and those networks pay for it.
Babylon is the category, not just the leader: over $4 billion in TVL and roughly 57,000 BTC as of May 2026, close to 80% of everything counted as Bitcoin DeFi. Lombard, at about $1.5 billion, issues the liquid staking token most people use to keep the position tradeable.
The honest part: yields are low single digits, lockups are real, and the liquid staking wrapper reintroduces exactly the token risk native staking was meant to avoid. Solv Protocol, another large player in the category, was exploited in March 2026.
Once Bitcoin is on an EVM chain or Solana you can trade it against anything else on-chain, at any hour, without an account. Uniswap is the largest decentralised exchange by volume and the deepest venue for WBTC and cbBTC pairs against ETH and stablecoins.
The honest part: for the plain trade of Bitcoin into dollars, a centralised exchange is almost always cheaper. On-chain trading earns its keep when the thing you want is not listed anywhere else — a token on a rollup, a new asset, something that never reaches an exchange.
Perpetual futures venues let you take leveraged directional positions, and the largest on-chain one is Hyperliquid, which processed $633 billion in volume in Q1 2026, holds roughly 70% of decentralised perp volume and about 6.2% of the global perps market including centralised exchanges.
The honest part, and it is the whole story: Hyperliquid margins in USDC, not in Bitcoin. Putting BTC to work there means converting it first, which is a disposal, after which you hold dollar collateral and a synthetic position that can be closed against your will. A legitimate trade, but not the trade of holding Bitcoin.
Supplying Bitcoin to an automated market maker earns a share of trading fees on the pair. Uniswap v3 and Curve are the two venues that matter.
The honest part: for most holders, this is the worst option on the list. Bitcoin pools are thin — the WBTC/cbBTC pool on Base showed roughly $270,000 of liquidity against $135,000 of daily volume in 2026. And a volatile pair carries impermanent loss, so a large BTC move can leave you with less than holding would have. Fee income on a thin pair rarely covers it.
If the goal is to send value rather than hold a position, Bitcoin has two working answers and neither is a DeFi protocol. Lightning settles small BTC payments in seconds for cents, and is the right tool when both sides want bitcoin. For paying someone who wants dollars, converting to USDC or USDT and sending on a cheap chain is the standard route.
The honest part: spending Bitcoin is selling Bitcoin. A card, a payment processor and a stablecoin conversion are all disposals, taxable in most jurisdictions, and a year of small ones is worse to account for than a single sale.
Tokenised equities are the newest destination, and Bitcoin is a legitimate funding source for them. On Solana, Kamino Lend handles 82.6% of tokenised stock lending — $31 million of the $53 million of tokenised stock collateral on the network as of late July 2026. Robinhood’s own chain is building in the same direction.
The honest part: $53 million across an entire chain is a small market. The rails work, the depth does not exist yet. Early rather than established.
Four routes exist, and they differ mainly in who holds your Bitcoin while you are using the token. Ask that first; the fee difference is usually smaller than the custody difference.
A centralised exchange: Deposit BTC, sell or convert, withdraw the destination asset. For common pairs — BTC to USDC, BTC to ETH — this is frequently the cheapest route available and worth checking before anything else. It costs you an account, KYC and the exchange holding your coins in between, and it fails outright for most rollups, which exchanges do not support as withdrawal networks.
Mint directly from the issuer: Coinbase issues cbBTC, BitGo WBTC, Kraken kBTC, Binance BTCB, and Circle launched cirBTC on Ethereum on 8 June 2026. You are trading Bitcoin for a claim on that institution’s reserves, which buys the deepest liquidity and the widest acceptance in lending markets. Threshold’s tBTC is the decentralised alternative: 51-of-100 threshold signers, about $5 billion of cumulative bridge volume, no losses in six years.
Cross-chain swap protocol: Garden Finance, THORChain, and Chainflip all move native BTC to other chains without an exchange account, and they differ more in coverage than in what they enable. THORChain reaches the most standalone L1s; Chainflip runs a short, deliberate asset list across six chains. Garden’s catalogue on 8 September 2026 listed 26 assets across 15 chains, including Lightning, Solana, Starknet, Spark, Ink and Hyperliquid, 13 of those entries a form of Bitcoin across seven tickers. In a nine-swap cost snapshot on 20 August 2026, Garden quoted lowest on all nine and Chainflip highest, the gap widest on $100 swaps.
Bitcoin-native layer 2: Spark and Stacks run BTC as the network’s own asset rather than a company’s token — less counterparty concentration, thinner liquidity, fewer applications waiting. Botanix, often named in this category, announced a full wind-down on 9 June 2026.
Check the token, not the ticker. WBTC on Starknet is a different token from WBTC on Ethereum, and cbBTC is three separate contracts across Ethereum, Base, and Solana.
Have gas on the destination. Arriving with a Bitcoin token and no ETH, SOL or STRK is the most common way a first attempt stalls.
Size to the destination’s liquidity, not to your balance. Caps exist on every route, and inside them the far side’s depth sets your slippage.
Assume the conversion is taxable. In most jurisdictions giving up BTC for a token is a disposal, and coming back is a second one.
Can I use Bitcoin in DeFi without wrapping it?
Yes, in one case. Babylon’s staking locks native BTC in a timelock script on the Bitcoin chain, so the coins never leave and are never wrapped. Every other use case here needs a representation of Bitcoin on another chain.
Is wrapped Bitcoin the same as Bitcoin?
No. It is a token on another chain representing BTC held elsewhere, and its risk is the issuer’s rather than Bitcoin’s. cbBTC is a claim on Coinbase, WBTC on BitGo, kBTC on Kraken.
What is the safest way to earn yield on Bitcoin?
Native staking through Babylon has the fewest moving parts, because the BTC stays on Bitcoin under your own keys. Lending on Aave is more liquid and adds smart-contract and wrapped-token risk on top.
How much Bitcoin is actually in DeFi?
About 91,000 BTC, or 0.46% of circulating supply, per Spark’s May 2026 research and Threshold’s July 2026 update — roughly 0.8% counting every wrapped variant and all Babylon staking.
Can I use Bitcoin in DeFi on Solana?
Yes. cbBTC is the main Bitcoin representation on Solana, and Kamino is the largest money market there at around $3.2 billion in TVL, with Jupiter Lend second.
Is a bridge cheaper than an exchange?
Often not, for common pairs. Exchanges usually win on BTC to USDC or BTC to ETH. Bridges win when the destination is a rollup the exchange does not support, which is most of them.
Why did Bitcoin DeFi shrink in 2026?
Layer-two and sidechain TVL fell 74% in Q1 2026, and the broader ecosystem about 10%, from 101,721 BTC to 91,332. Threshold’s read is that capital rotated toward verifiable custody and a dependable route back to native BTC.
Do I have to sell my Bitcoin to trade perps?
Effectively yes. The major perp venues, Hyperliquid included, margin in USDC rather than Bitcoin, so the conversion is unavoidable.
Bitcoin in DeFi: What Can You Actually Do With It in 2026 was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
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