Quick Answer: Crypto weakened in the days following the 2026 US midterm election, but the timing does not show that the vote caused the decline. A broad risk-asset retreat, existing Bitcoin weakness, exchange-traded fund outflows, and leveraged-position liquidations all offer plausible parts of the explanation. The evidence available on 10 November 2026 supports a multi-factor reading, not a single election headline.
The phrase “after the midterms” describes a sequence. It does not identify a mechanism. That distinction matters because an investor searching for the reason behind a fall may otherwise mistake a calendar event for a proven catalyst. Prices can respond to election expectations before votes are counted, to macroeconomic news that arrives later, and to forced selling once leveraged positions cross liquidation thresholds.
This article uses dated observations available through 10 November, then explains which observations could actually support an election-driven explanation. For a current quote rather than a historical one, readers can check live market prices on Phemex. Prices on a live page will differ from the dated figures below.
What happened before and after election day?
The decline did not begin only after voting. Glassnode’s report published on 4 November described Bitcoin as roughly 11% below its September high heading into the election period. The same report described an approximately 1.5% rebound after the vote at the time of writing. That earlier weakness complicates a claim that the election result alone initiated a sustained selloff.
The sharper broad-market move came later in the week. CF Benchmarks reported that its crypto market index gained 3.14% through the Wednesday after the election. On Thursday, 5 November, the Nasdaq-100 fell 6.36% and the crypto index fell 5.25% in the same session. Across 1–8 November, the crypto index lost 2.97% by that provider’s measure. These are index observations, not returns for every coin or exchange, and they show a market that initially rose before reversing.
The sequence is important. If a vote immediately created a uniform negative repricing, an initial rise followed by a later cross-asset retreat would be harder to explain. It remains possible that market participants reassessed policy prospects over several days. But that hypothesis needs more evidence than the fact that prices eventually fell.
| Observation | Dated source | What it can establish |
|---|---|---|
| Bitcoin had already retreated from its September high | Glassnode, 4 Nov 2026 | Weakness preceded the post-election decline. |
| CF Benchmarks’ crypto index rose through Wednesday, then fell 5.25% on Thursday | CF Benchmarks, 9 Nov 2026 | The market reaction was not a one-way fall immediately after the vote. |
| Nasdaq-100 and the crypto index both fell on 5 November | CF Benchmarks, 9 Nov 2026 | Crypto sold off during a broader risk-asset move; co-movement does not prove the same cause. |
These figures are snapshots from specific providers. Reproducing the comparison requires the same index, time zone, and return window. A 24-hour Bitcoin percentage change displayed on an exchange will not necessarily equal the calendar-day return of a broad crypto index.
Did the election result cause the crypto selloff?
The available observations do not isolate an election effect. To establish one, an analyst would need a policy surprise, a credible channel from that surprise to asset values, and price action that lines up with when the new information became known. The case would be stronger if crypto moved differently from similar risk assets and if other simultaneous news could be ruled out.
Midterm elections can alter expectations for legislation, spending, regulatory oversight, and the probability of future policy changes. Those expectations may matter for digital assets. Yet “an election matters to markets” is broader than “this election caused this particular decline.” A trader may have priced in the likely result beforehand. A widely expected result can produce little immediate repricing even when the long-term policy consequences are substantial.
There is also no single “crypto market” reaction. Bitcoin, XRP, smaller tokens, spot markets, and perpetual futures can move differently. CF Benchmarks reported a weekly Bitcoin return of about minus 2.51% and an XRP return of about minus 7.75% for its stated 1–8 November window. A token-specific move may reflect its own liquidity or news. It should not automatically be attributed to Washington.
What other factors were visible?
Several measurable forces were present at the same time. Equity weakness provided a risk-appetite backdrop; fund flows showed changing demand through one investment channel; liquidations described how leverage could amplify moves. None of these alone proves the original trigger.
First, the Nasdaq-100 and the crypto index fell together on 5 November in CF Benchmarks’ account. That pattern is consistent with a broader reduction in risk exposure. It does not tell us whether the underlying reason was policy, macroeconomic data, rates, positioning, or several developments. An analyst should compare the timestamp of any proposed catalyst with the first meaningful move in both markets.
Second, CF Benchmarks reported approximately $1.28 billion of net redemptions from US spot Bitcoin exchange-traded funds over its weekly window. ETF flows are one observable channel, but they are reported with their own timing and do not capture all Bitcoin demand. Fund outflows can follow falling prices as well as contribute to pressure; the direction of causality is not established by a weekly total.
Third, the same provider cited approximately $1.09 billion of crypto liquidations over a 24-hour period, with roughly 89% from long positions. Liquidation counts depend on exchange coverage, instruments, timestamps, and data-provider methods. Forced closing of leveraged positions can accelerate a move once prices cross thresholds. That mechanism explains amplification, not necessarily why the initial decline began. The Phemex 6 November liquidation report discusses a different snapshot and a broader tracked-instruments figure; the totals should not be merged as if they were the same event window.
Finally, market depth can change quickly during volatile sessions. An order book with fewer resting bids may show a larger price move for the same amount of selling. This is a mechanism to inspect, not a claim that a specific venue’s liquidity definitively caused this week’s decline. Compare exchange-level depth and trading volume at the time of the move before drawing that conclusion.
How should readers test a headline about an election-driven crash?
Start with the timestamp and the asset, then look for a plausible channel. A headline is useful as a question to investigate, not as an explanation to repeat. The following checks produce a more reliable account:
- Define the instrument: spot BTC, a crypto index, a single altcoin, or a futures contract. Each has a different return series.
- Fix the window in UTC. Election night, the following trading day, and the full week are different comparisons.
- Note when the election result or policy statement became known, then compare that time with the first price move.
- Compare crypto with equities, Treasury yields, and the dollar where relevant. Co-movement can reveal a wider repricing.
- Check spot and ETF flows separately from derivatives liquidations. Flows, position closure, and leverage answer different questions.
- Look for a counterfactual: was the market already falling, and did it briefly rise after the vote?
The goal is not to demand impossible certainty. It is to avoid presenting a convenient story as a measured causal result. A credible market explanation can say that election uncertainty was one possible contributor while still describing the other forces the data show.
What does this mean for a trader?
A retrospective explanation does not provide a reliable short-term trade signal. If a position is leveraged, the relevant practical questions are position size, available margin, liquidation threshold, order-book depth, and the possibility that a stop order fills away from its trigger during a fast move. Volatility may increase a trader’s costs even when the final price direction matches their view.
For a reader who does not hold derivatives, the lesson is simpler: a price move after a political event should not be treated as an automatic forecast about the next move. New information, flows, and positioning can change on different schedules. Compare timestamped sources and avoid extrapolating one unusually volatile session into a durable trend.
FAQ
Did Bitcoin fall immediately after the 2026 midterms?
Not uniformly in the sources reviewed. Glassnode described an early post-vote rebound as of 4 November, while CF Benchmarks documented a later weekly reversal and a large 5 November fall in its broader crypto index. Specify the asset and time window when asking whether it “fell after” the election.
Were liquidations the cause of the decline?
Liquidations can intensify a falling market by forcing leveraged positions to close. The reported total does not identify what first changed buyers’ and sellers’ expectations. A causal account needs evidence about the earlier price move and the positions that existed before it.
Can the election still have mattered?
Yes. Elections can affect expectations about future policy, but the observations here do not separate that effect from simultaneous risk-asset weakness and positioning. An election effect is a hypothesis requiring a dated policy channel and supporting market evidence.
Is the November move a forecast for crypto prices?
No. Historical returns and fund flows describe what happened in a specified window. They do not establish the next day’s direction. Any decision should consider the current market and the risks of the instrument being used.
