I predicted Bitcoin falling to $49k this year and January delivered some very concerning red flags

My $49k Bitcoin bear thesis, a January check-in, the plumbing is flashing while price bleeds

I wrote my medium-term $49,000 bear thesis in late November with one simple idea, Bitcoin still moves in cycles, and the next real “this is the low” moment tends to arrive when miner economics and flows line up at the same time.

It is now Jan. 30, 2026, and the honest update is this, the variables I care about look more stressed than they did when I published, and the tape has not delivered the kind of panic price print that makes those variables matter to everyone at once.

Somewhat paradoxically, my ‘medium-term bear thesis’ was intended to be long-term bullish. The idea being that we could get a short, sharp bear market with max pain followed by a sustained, multi-year bull run. However, the price isn’t quite matching with the signals right now.

Akiba's medium term $49k Bitcoin bear thesis – why this winter will be the shortest yetAkiba's medium term $49k Bitcoin bear thesis – why this winter will be the shortest yet
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Bitcoin is hovering around the low $80,000s (after falling to $81,000 overnight) as I write this, which means my high-$40ks zone has not even come into view yet.

That disconnect is the story.

Because beneath the price, the parts of the system that pay for Bitcoin’s security, and the parts that move institutional size, are acting like winter already arrived.

The winter feeling is coming from fees, not the chart

Start with the security budget, because that was my original “fragility” claim.

On Jan. 29, miners earned about $37.22 million in daily revenue.

On the same date, total transaction fees paid per day were about $260,550.

Do the math and you get the mood music, fees are roughly 0.7% of miner revenue.

That is not “fees are weak,” that is “fees are basically absent,” in the sense that the fee market is contributing almost nothing to the cost of securing the chain on a day-to-day basis.

Even the live mempool picture looks sleepy. The projected next-block median fee rate is around 0.12 to 0.14 sat/vB right now.

So when people ask why I keep circling back to miner economics, it is because this is what a fee floor failing looks like in real time. The network leans on issuance, issuance steps down on schedule, and everything else has to pick up the slack later.

The ETF window has been a steady leak, with a few ugly gulps

The second leg of my framework was flow elasticity, the idea that the ETF era creates a clean, mechanical way to see risk appetite turn.

In January, that elasticity has been pointing in the wrong direction.

On Farside, the last few weeks show multiple heavy outflow prints, including -$708.7M on Jan. 21 and -$817.8M on Jan. 29.

Total net flows are also negative at -$1.095B year-to-date. That matters more than any single day because it changes the psychology of dips. In the soft-landing version of my thesis, the tape gets support from persistent dip buying through the ETF pipe. Right now, the pipe has been taking water out.

There were big green days earlier in the month too, Jan. 13 at +$753.8M and Jan. 14 at +$840.6M, and those are real, but the late-month flow prints have been the kind you feel on a desk.

If you trade for a living, you know this sensation, price holds up, the internals start to rot, and everyone keeps looking for the moment the chart finally reflects what the plumbing has been saying.

Hashrate is wobbling, miners are adapting, and that adaptation changes behavior

Another piece of the setup is miner elasticity.

Hashrate is still huge, but it has been swinging. On Jan. 29 the daily average is roughly 901 EH/s, down from earlier peaks this month.

That by itself does not equal capitulation, and I am not trying to force a dramatic story onto routine variance. It does fit the broader point, miners now have more knobs to turn.

The most important knob is the one nobody talked about in prior cycles, AI and HPC hosting.

When a miner signs long-duration compute deals, that business starts to look less like a pure BTC margin machine and more like a power, land, and infrastructure operator that happens to mine Bitcoin.

TeraWulf put that shift in bold print when it announced two 10-year HPC colocation agreements with Fluidstack for 200+ MW, with Google backstopping a large portion of obligations and receiving an equity stake, per the company’s own release.

Riot has been exploring the same direction, including a formal evaluation to potentially repurpose significant capacity for AI and HPC, according to DataCenterDynamics.

This matters for Bitcoin market structure because it changes the incentives around hashrate at the lows.

A miner with a second revenue stream can behave differently under stress. They might curtail or redirect capacity without immediate existential pressure, they might protect liquidity for buildouts, they might sell BTC more mechanically to fund capex, they might simply stop caring about marginal hashprice in the way a pure miner once did.

That is the elasticity I was pointing at, and it is starting to show up in the data’s tone even while price sits high.

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ScenarioBottom Price (USD)Timing WindowPath ShapeKey Triggers Into Low (Jan 30, 2026 status)
Base49,000Q1–Q2 20262–3 sharp legs lower, basing ✅ Hashprice spot sub-$40/PH/day
✅ Fee% of miner revenue < 10% (extreme, ~<1% on latest prints)
✅ 20D ETF flows negative (net outflows over the last 20 trading days)
⚠️ “Forwards sub-$40 for weeks” depends on whether you treat spot as the proxy, forwards have a near-dated hump
Soft-landing56,000–60,000H2 2025Single flush, range ❌ Fee% > 15% sustained (opposite, fees are very low)
❌ Stable hashrate (has shown meaningful variance this month)
❌ Mixed to positive ETF flows on down days (late-Jan showed heavy outflows)
Deep cut36,000–42,000Late 2026–Q1 2027Waterfall, fast ⚠️ Macro risk-off (not a single on-chain metric, mixed signal outside this table)
✅ Fee drought (supported by fees and feerates)
⚠️ Miner distress (not “capitulation,” but stress visible via low hashprice)
⚠️ Persistent ETF outflows (recent window negative, “persistent” over longer horizon still TBD)