Bitcoin has bounced after a volatile election night, but fund withdrawals started before Americans finished voting. The next stage of the recovery will depend on whether demand returns as investors reassess Congress, interest rates and exchange risk.
Summary
- Bitcoin recovered towards $77,900 after a November 4 trading range extending down to approximately $75,700.
- Farside’s rounded data recorded $643.2 million of US spot Bitcoin ETF withdrawals on October 30.
- The funds lost another $398.6 million on November 2 and $115.6 million on November 3.
- The Federal Reserve held its policy range at 3.75%–4% on October 28.
- October’s US employment report is scheduled for November 6 at 8:30 am Eastern.
Bitcoin has recovered towards $78,000 after falling close to $75,700 as US midterm results arrived, while a third consecutive session of ETF withdrawals has left the rebound competing with institutional selling.
According to the crypto.news price page, Bitcoin traded near $77,851 on November 4, within a 24-hour range of approximately $75,695 to $77,990.
The Associated Press reported that Democrats had won control of both chambers of Congress. Investors now face a different political balance for the remainder of President Donald Trump’s term, although election results alone do not change existing financial law.
Bitcoin’s decline did not begin with the results. US-listed spot funds had already recorded heavy withdrawals, and the market was dealing with the consequences of Binance’s October 29 security breach.
Bitcoin entered election night with selling pressure already in place
As crypto.news previously reported, Bitcoin fell below $77,000 on November 3 amid fund withdrawals, leveraged liquidations and weakness in technology stocks. The timing prevents the entire decline from being assigned to the election outcome.
A market can respond to several developments simultaneously. Investors concerned about policy can sell alongside holders reducing risk after an exchange incident and traders closing leveraged positions.
The quoted price records where those orders meet. It does not attach a reason to every buyer or seller, and a headline written after the movement cannot recover those reasons from the chart alone.
The election still supplied new information. A change in congressional control affects expectations about committee leadership, legislation and negotiations with the White House.
The relevant question is how much of that information investors had already priced. A widely expected result can have little lasting effect, while an unexpected result can force positions to change quickly.
An initial fall can consequently be followed by a rebound without the political news reversing. Sellers may have completed their orders, shorts may buy back positions, or other investors may consider the lower price attractive.
The November 4 range illustrates how quickly those conditions can change. The distance from approximately $75,695 to $77,990 was roughly $2,295, equivalent to about 3% of the lower price.
That intraday range is not the same as a 3% daily gain. The daily return depends on the comparison timestamp, while the range records the highest and lowest observations within the selected window.
Readers following several price services can therefore encounter different changes without either service being wrong. Venues, aggregation methods and rolling measurement windows can differ.
For an outlook, the useful starting point is a dated reference and a clearly identified period. The live Bitcoin market page provides a continuing quote, while the figures in this feature describe the November 4 research snapshot.
Three ETF sessions removed more than $1.15 billion
Farside Investors’ daily flow table recorded net withdrawals of $643.2 million on October 30, $398.6 million on November 2 and $115.6 million on November 3. Adding those rounded daily figures produces $1.1574 billion.
The calculation covers three trading sessions separated by a weekend. It should not be described as a three-calendar-day total or combined with another provider’s differently rounded series without explanation.
The daily pace slowed substantially. November 3’s withdrawal was approximately 82% smaller than October 30’s, calculated as one minus 115.6 divided by 643.2.
Slower withdrawals can ease one source of pressure. They do not constitute an inflow, and they do not establish that the following session will be positive.
The distinction is relevant to the rebound. Bitcoin can recover while funds are still losing capital if buyers elsewhere absorb the supply or if the volume offered for sale becomes smaller.
The three-session total is an original addition of the displayed daily data. It measures net movement through the tracked US products, not the change in all institutional Bitcoin holdings worldwide.
Farside’s figures are rounded to a tenth of a million dollars. Other services can show slightly different totals because of precision, reporting treatment or subsequent revisions.
A separate issue is the relationship between fund withdrawals and spot execution. A net redemption describes a change in fund capital or shares through the creation-redemption process; it does not provide a timestamped list of every underlying Bitcoin transaction.
The total nevertheless gives the outlook a concrete demand measure. Sustained withdrawals would leave buyers elsewhere doing more of the work needed to maintain higher prices.
A turn back to positive subscriptions would change that balance. Several completed sessions would provide stronger evidence than an isolated positive number following a large cumulative withdrawal.
The issuer breakdown shows why the aggregate needs context
The flow record distinguishes an overall withdrawal from unanimous selling across every fund. A market-wide negative total can contain products attracting money at the same time.
That happens when holders switch providers or when different investor groups make different decisions. Lower fees, distribution relationships and portfolio mandates can affect where exposure is held.
An investor selling one fund and buying another may retain essentially the same Bitcoin position. The gross transactions can be substantial even if the category’s net result changes little.
The aggregate is useful precisely because it nets these movements. The issuer detail helps explain whether the negative result is concentrated or distributed across the group.
Neither measure identifies the intentions of every holder. A fund’s shareholder base can include institutions, advisers, individuals and trading firms with very different time horizons.
The label institutional outflow is therefore less precise than a statement that US spot Bitcoin ETFs experienced net withdrawals. The latter identifies the instrument actually measured.
A fund can experience declining assets without withdrawals when Bitcoin falls. It can report rising assets during net redemptions if the remaining holdings appreciate by enough.
Trading volume in the fund’s shares is another separate measure. A buyer acquiring existing shares from a seller generates exchange turnover without necessarily creating new fund shares or a new underlying position.
The price outlook should consequently follow net subscriptions, underlying holdings and asset values as separate series. Treating all three as investor cash flows produces a misleading picture of demand.
Timing is equally important. ETF data typically closes with a US session, while the token continues trading through other time zones and weekends.
An Asian-hours rebound can begin before the next US fund result exists. Its durability may be easier to assess after US investors have had a full session to respond.
Democratic control changes expectations before it changes law
The election result creates a new political setting for crypto policy, but a congressional majority is not itself a rule governing exchanges, custody or Bitcoin ownership. Legislative changes require further action.
The incoming Congress begins its work on a different calendar from election night. Existing officeholders and agencies continue operating before new members take their seats.
Committee leadership can influence which proposals receive hearings and how closely regulators and companies are examined. Those decisions can affect expectations before a statute changes.
Passing legislation requires agreement through the constitutional process. A House majority, a Senate majority and a president can have different priorities, leaving negotiations to determine what becomes law.
The US Senate’s procedural requirements can add another hurdle to contested bills. A narrow electoral victory should not be treated as an automatic ability to pass an entire policy programme.
Crypto policy does not fit perfectly into party labels. Positions can differ among lawmakers within the same party and between proposals addressing stablecoins, securities markets, banking access and illicit finance.
A Bitcoin outlook that turns the result into a universal judgement on crypto risks missing those distinctions. Measures affecting one company or business model need not have the same effect on the asset itself.
Investors can still price uncertainty while waiting for details. A higher perceived risk of restrictions can change the return they require to hold an asset, even before the possible restrictions are written.
The opposite can happen when negotiations clarify the likely rules. Less uncertainty can support participation even if the final framework includes obligations companies had hoped to avoid.
Neither channel produces a fixed Bitcoin price target. The effect depends on the content of policy, the probability investors assign to it and what other markets are doing at the time.
The next useful policy evidence will come from named leaders, committee agendas and actual legislative text. Election-night commentary is a starting expectation, not the final operating framework.
Interest rates remain a separate source of pressure
The Federal Reserve held its target range at 3.75%–4% on October 28. Its policy statement said inflation remained elevated, and two policymakers preferred a quarter-point rate hike.
The decision was a hold, not a rate cut. The dissent was in favour of tighter policy, a distinction that matters when interpreting claims that monetary conditions are already easing.
Congressional results do not replace the central bank’s policy process. Fiscal decisions can influence the economic outlook, but the Fed still assesses employment, inflation and financial conditions.
For investors comparing assets, interest rates affect the return available from cash and government debt. Bitcoin does not pay a contractual coupon, so changes in those alternatives can alter portfolio decisions.
The relationship is not mechanical. Bitcoin can rise during a period of high rates if other sources of demand strengthen, and it can fall during expected easing if investors are responding to a worsening economy.
Treasury yields themselves contain several components, including expected short-term policy rates and compensation for holding longer-dated debt. A fall in a long-term yield does not identify one cause on its own.
The dollar adds another moving part. A weaker dollar can change the comparison for international buyers, but exchange-rate movements do not guarantee that capital will flow into Bitcoin.
The earlier October rate decision coverage placed Bitcoin around $80,800 at the time. The current price is lower, but that comparison spans the exchange breach, fund withdrawals and the election as well as monetary news.
Assigning the full difference to the Fed would make the same error as assigning it all to the midterms. A sequence of events can change the price without supplying a clean estimate of each event’s contribution.
The employment release gives investors several measures that can point in different directions. The Bureau of Labor Statistics’ technical note distinguishes its household survey from its establishment survey: unemployment comes from the former, while payroll employment comes from the latter.
The surveys measure different populations and concepts. A person with more than one job can appear differently in a count of employed people and a count of payroll jobs, so the two headline figures need not move identically.
Revisions can alter the starting point as well. A new month’s payroll gain can arrive alongside changes to earlier estimates, affecting the cumulative employment picture investors use.
For illustration, a hypothetical 100,000 new jobs paired with a combined downward revision of 100,000 to earlier months would leave the total employment level no higher than the previously reported baseline plus zero. The positive new headline would coexist with a less encouraging cumulative change.
The example is arithmetic, not a forecast of Friday’s report. It shows why reading only the first number can miss information released at the same time.
Wage growth introduces a separate question about labour costs and purchasing power. Investors assessing inflation and policy can react differently to the same payroll count when the accompanying wage figures change.
A weaker report is not automatically positive for Bitcoin. Lower expected interest rates can support risk appetite, while a deteriorating economic outlook can prompt investors to reduce risky positions at the same time.
The response in yields and the dollar can show how markets are interpreting the release. Bitcoin’s own trading will reveal whether the resulting buying is enough to offset sellers already active through funds and exchanges.
Comparing the first minute with the full session is useful because orders placed immediately after a release can produce a movement that later reverses. A sustained response contains more information about the balance of buyers and sellers than the first price spike.
The midterm result and the jobs report therefore operate on different information schedules. Investors who positioned for politics will encounter a new set of economic numbers before the week ends, even if the political balance remains unchanged.
A more useful outlook follows whether rate expectations, yields and the dollar reinforce or oppose the direction of Bitcoin buying. Agreement across those observations can support a scenario without proving a single causal explanation.
Exchange withdrawals can move coins without selling them
Binance’s security incident remains part of the market setting. The exchange said approximately $6.3 billion in assets had been affected and committed to covering the financial impact.
Its November 2 reserve verification covered ten cryptocurrencies using an October 31 snapshot. Another snapshot covering additional assets was scheduled for November 4.
Those disclosures address backing at a specific point in time. They do not by themselves describe every customer’s subsequent decision about where to keep assets or whether to sell.
An exchange withdrawal can be a transfer to a personal wallet, a custodian or another trading venue. It can reduce the amount held at one company without reducing the investor’s Bitcoin exposure.
A sale is a different event. The holder gives up the asset to a buyer, and the transaction price depends on the bids available when the order executes.
The two can be connected if an investor withdraws and then sells elsewhere, but the withdrawal itself does not prove that second step. Treating every exchange outflow as bullish accumulation or bearish liquidation assigns a motive the transfer does not reveal.
A reserve figure requires a similar distinction. It describes a quantity held in identified wallets or reported by an operator, not a direct measure of how confidently clients will trade tomorrow.
An investor can hold fully backed assets and still choose a different custodian. Another can remain on a venue while reducing exposure to price risk.
Market-making can change during an operational disruption too. When transfers are slower or access differs across venues, traders may be less able to move inventory to where it is needed.
The resulting price gaps can affect execution without implying that the underlying asset has changed. Restored transfer routes and withdrawal access are consequently relevant to how smoothly markets function.
For the post-election outlook, exchange recovery and policy expectations belong in the same reporting picture but should not be merged into one explanation. Each has its own observable developments and timetable.
Short covering can produce a recovery before investment demand returns
A short seller who buys back Bitcoin helps create demand during a rebound. The purchase can be forced by collateral conditions or chosen to lock in a profit after a decline.
Neither case requires the trader to become a long-term bull. Once the short is closed, that source of buying ends unless the participant opens a new positive exposure.
Leverage can magnify the effect. A small change in the underlying asset can produce a much larger change in the equity supporting a borrowed position.
In a simplified ten-times leveraged trade, a 1% underlying move corresponds to roughly 10% of the initial equity before fees and margin rules. Actual liquidation thresholds depend on the venue, collateral and the rest of the account.
A rapid price recovery can therefore force additional short covering, while a renewed fall can force leveraged longs to sell. Those feedback effects can make a movement larger without supplying a new fundamental reason for every transaction.
Open interest helps describe how many derivative contracts remain outstanding. Falling open interest during a recovery can be consistent with positions closing; rising open interest can indicate new contracts being established.
Every contract still has counterparties on both sides. The total cannot be read as the amount of new cash betting that Bitcoin will rise.
Funding rates describe a cost or payment between sides in perpetual markets. A positive rate does not guarantee a fall, and a negative rate does not guarantee that shorts will be squeezed.
The useful comparison combines the cost of positioning with spot activity. A recovery supported by executable spot buying has a different foundation from a move driven mainly by forced position closures.
No single metric settles that distinction in isolation. Matching the observation period and comparing several venues reduces the risk of mistaking a local market event for a change across Bitcoin trading.
The next US session can add a further piece of evidence. Fund creations or redemptions will show whether investors using those products are adding to or subtracting from the demand visible elsewhere.
A hedged institutional trade can unwind without a new political view
An institution holding Bitcoin exposure can hedge part or all of its price risk through futures. Selling the spot position may then be one leg of a change in a combined trade, rather than a stand-alone judgement about the asset’s long-term value.
The difference between a futures price and the spot price is known as the basis. When futures trade above spot, a trader can potentially buy the asset and sell the futures, seeking the price difference as the contracts approach settlement.
CF Benchmarks’ basis index description demonstrates that spot exposure and a systematic futures overlay can be combined in a single strategy. Its methodology uses CME futures data and adjusts the overlay with the term structure.
The existence of such a strategy does not establish that it caused the latest ETF withdrawals. It shows why fund ownership and an investor’s unhedged Bitcoin exposure need not be identical.
Consider a hypothetical spot price of $78,000 and a futures price of $78,780 for a contract expiring in 90 days. The gross difference is $780, or 1% of the spot purchase price.
Annualising that simple spread gives approximately 4.1% using 365 divided by 90. The calculation excludes fees, financing, margin requirements, execution differences and the risk that the position cannot be maintained as intended.
A trader paying more than that return to finance the combined position would have a different incentive from an investor who already held cash. The headline spread is not a guaranteed net profit.
If the spread narrows, a previously attractive trade can become less worthwhile. Closing it can involve selling the spot holding and buying back the futures short, reducing both sides of the position.
The spot sale can appear in demand data even though the trader has not adopted a new negative view of Bitcoin. The futures purchase simultaneously removes a hedge, which cannot be seen by looking only at the ETF transaction.
CME’s cryptocurrency futures guidance sets out contract-specific settlement and operating conditions. Those details determine the instrument being used; a perpetual swap on a crypto exchange is not interchangeable with every dated futures contract.
Different instruments have different cash-flow schedules. A perpetual position can incur ongoing funding, while a dated contract has an expiry and a basis that changes with time and market conditions.
For the post-election outlook, this provides a reason to examine futures alongside fund flows. Falling spot exposure paired with a reduction in offsetting shorts would describe a different change from investors selling outright without a hedge.
The aggregate public data may not reveal each portfolio’s pairing. A fund-flow table identifies what happened through the products it tracks, while derivatives data describes positions at the relevant venues.
The two datasets can be compared over matching periods without pretending that every contract has been linked to a named ETF holder. Their limits remain relevant when attributing a movement to election sentiment.
A genuine return of unhedged investment demand would have a different persistence from a brief arbitrage adjustment. The distinction can affect whether buying continues after the immediate price gap has closed.
Institutions can use both approaches at once, and their relative size can change. A single label such as institutional selling cannot capture every transaction behind a negative daily fund total.
The route back to $80,000 has measurable conditions
Using $77,851 as the reference, a move to $80,000 would require approximately 2.8%. A decline to the round-number $75,000 area would be about 3.7%.
Those distances are small compared with the asset’s historical volatility, but they do not establish equal probabilities. The available bids, offers and news determine which trades actually occur.
An upside scenario would involve buyers maintaining prices above the recent range while fund withdrawals slow further or turn positive. Continued demand through a full US trading session would provide more evidence than an overnight recovery alone.
A move through $80,000 would remain vulnerable if it depended on short covering that quickly ended. Repeated transactions above the level and stronger spot participation would improve the case for a new range.
The distances can be laid out without pretending they are probabilities. Each result below uses $77,851 as the starting price and assumes no fees or leverage.
| Illustrative price | Change from the reference | Meaning of the calculation |
| $80,000 | Approximately +2.8% | Return to a nearby round number. |
| $85,000 | Approximately +9.2% | A larger recovery beyond the current range. |
| $75,000 | Approximately -3.7% | A move below the election-night low. |
| $72,500 | Approximately -6.9% | A deeper downside illustration. |
The table uses price divided by the starting reference, minus one. It does not imply that the destinations are technical support or resistance, or that a fixed amount of investor cash would produce those moves.
For a hypothetical unleveraged holding of 0.1 BTC, each $1,000 change in Bitcoin’s price changes the position’s gross value by $100. A leveraged account can experience a different equity change and may be closed before an eventual recovery occurs.
A neutral scenario would keep Bitcoin moving between the election-night low and the recovery area. Such trading would show that investors are still finding counterparties within the existing band.
The downside scenario would involve renewed selling through approximately $75,700 and an inability to regain the range. The $75,000 round number would then be a reference point to monitor, not an established floor.
Several observations could weaken the bearish case: sustained ETF inflows, reduced financing costs for positions and spot buying that absorbs offers without an excessive build-up of leverage. Each needs current evidence.
The bullish case has corresponding failure conditions. Persistent redemptions, deteriorating exchange liquidity or a recovery repeatedly sold back into the old range would reduce confidence that the rebound can last.
The election result will remain part of those decisions, but the market’s next scheduled information is economic as well as political. The week’s economic calendar places employment data among the next major releases.
The Bureau of Labor Statistics’ November schedule lists the October Employment Situation report for November 6 at 8:30 am Eastern, or 13:30 UTC. The release includes payrolls, unemployment and wage information that investors will assess alongside revisions to earlier months.
What to watch
Completed ETF sessions: Compare fresh results with the $1.1574 billion net withdrawal across October 30, November 2 and November 3.
Trading around the recent range: Observe whether buyers maintain prices above approximately $78,000 and whether the $75,700 area is revisited.
Spot buying versus position closures: Compare spot activity, open interest and funding over the same interval.
Named policy developments: Follow committee priorities and legislative text as the incoming congressional leadership takes shape.
November 6 employment figures: Watch wages, unemployment and revisions alongside payrolls and the response in yields and the dollar.
FAQ
Why did Bitcoin move around the midterm results?
The results changed expectations about congressional control and policy, while the market was already experiencing fund withdrawals and exchange-related uncertainty. The price chart cannot establish the contribution of each cause.
How much left US spot Bitcoin ETFs over the three sessions?
Farside’s rounded figures total approximately $1.1574 billion across October 30, November 2 and November 3. The total covers trading sessions, including a weekend gap.
Were withdrawals slowing?
Yes. The November 3 net outflow of $115.6 million was approximately 82% smaller than October 30’s $643.2 million. A smaller withdrawal remains a negative flow, not an inflow.
Does Democratic control automatically change crypto law?
No. Election results change political control, while new legislation and regulatory action follow their own procedures. The contents and timing of actual measures will determine their effects.
Did the Federal Reserve cut rates before the election?
No. On October 28, the Fed held its range at 3.75%–4%, with two policymakers preferring a quarter-point hike. The statement continued to describe inflation as elevated.
Does money leaving an exchange mean Bitcoin was sold?
No. Coins can move into self-custody, another exchange or institutional custody without a sale. The transfer alone does not establish a change in the holder’s economic exposure.
What would make a recovery towards $80,000 more convincing?
Sustained spot buying and stabilising or positive ETF flows would support it, especially if leverage remained manageable. A brief trade through the round number would provide less evidence than continued trading above it.
What is the next scheduled economic release to watch?
October’s US employment report is scheduled for November 6 at 8:30 am Eastern. This is educational analysis, not investment advice.
Disclaimer: This article is for information and educational purposes only and does not constitute financial or investment advice. Figures reflect regulatory filings and reporting available at the time of writing and change with each disclosure. Nothing here is a recommendation to buy, sell, or hold any security or asset. Always do your own research. Information is accurate as of November 4, 2026. Legal questions should be discussed with qualified counsel.
