Why NFT Prices Can Rise When Bitcoin and Ether Fall

The short answer is that it happens sometimes, but a rising NFT price during a bitcoin or ether drop is rarely a clean signal. NFT markets are made up of many separate collections, each with its own buyers, sellers and listings. A single collection can post a higher floor price while the broader crypto market falls, and the reverse can also happen.

It helps to separate three things that often get mixed together:

• Index-style moves: a basket or market-wide measure of NFT prices.
• Single-collection moves: the floor price or average sale price of one project.
• Activity moves: how many sales happen, how many wallets buy, and how much value changes hands.

A headline claiming that NFTs rose while bitcoin and ether fell usually refers to one of these in isolation. A collection's floor can rise even if total trading volume has dropped sharply. A market-wide dollar value can fall even if a few favourite collections gained.

NFT markets have also been through several sharp downturns. Reporting from 2021 and 2022 described NFT values falling alongside crypto prices, and some outlets described short-term spikes in volume during the same period. Those examples show that both patterns have occurred, which is why the question is best answered with data rather than a single headline.

A large share of NFT sales on Ethereum are quoted in ETH, not dollars. That creates a measurement issue. If a collection's floor is listed at a fixed number of ETH, its dollar value falls when ETH falls, even if nobody changed their asking price. In the other direction, an ETH-denominated floor can rise in ETH terms while ETH itself is losing value against the dollar, so the USD figure may still drop.

The quote currency matters for how you read the headline:

Quote currency	What a headline may hide
ETH	Dollar value can fall even when the ETH price looks stable
Bitcoin-linked or wrapped assets	Price tracks that asset, not the NFT's own demand
Native chain token (SOL, FLOW, TON and others)	Moves with that token, which can differ from ETH
USD or a stablecoin	Shows the price in dollar terms but may hide volume changes

When you see a claim that NFTs rose, ask which currency the figure uses. A rise in ETH terms and a fall in dollar terms can both be accurate for the same collection on the same day. Always write down the unit before comparing two figures.

An NFT floor price is the cheapest listing currently available in a collection. Floors are easy to move because they depend on a small number of sellers. If most holders are not willing to sell at lower prices, the floor can sit higher even while the collection trades less often.

Several common situations can push a floor up during a broader sell-off:

• Thin supply of listings: few tokens are for sale, so the cheapest one can be expensive.
• Holders waiting: owners may withdraw listings and wait for better prices.
• One large sale: a single high-value purchase can reset the visible benchmark.
• Rare traits: a rare-trait token may sell well while the average token does not.

Floor price is therefore a weak proxy for the market as a whole. A better picture includes the depth of listings, the number of sales in a period, and the spread between the floor and recent sale prices. If the floor is far below recent sales, the market may be quietly reprising. If the floor is far above them, a single buyer may be setting the price.

Price alone rarely tells the full story. Sales count, trading volume and the number of unique buyers and sellers show whether a price move reflects broad participation or a few trades.

A useful habit is to read these four measures together over the same window:

1. Floor or average price in the quote currency you care about.
2. Number of sales in the period.
3. Unique buyers and sellers, not only total transactions.
4. Volume in dollar terms, so you can compare across periods.

Some reports from past downturns showed sharp falls in the number of traders even when a handful of collections held value. Those fall-offs were a warning that fewer people were taking part. A rise in volume over one day can also be misleading, especially if it follows a quiet week or comes from a single event such as a drop or a featured listing.

Be wary of totals that include trades between wallets controlled by one person. Look at whether activity is spread across many buyers over several weeks rather than concentrated in a few addresses. Activity pages on marketplaces and public chain explorers can help you see the pattern without relying on a single summary figure.

Past downturns offer a useful test of the claim that NFTs can move differently from crypto majors.

In May 2021, a crypto price plunge reduced the dollar value of many NFTs and raised the cost of buying and selling them, while many collectors said they were holding on. The effect on dollar values was direct, because so many NFTs were priced in ETH at that time.

In mid-2022, reports described NFT floor prices sinking during a broader crypto crash. In the same period, some data showed a short-term increase in trading volume over a single day. This is an example of how a short window can show a rise in one measure while the wider trend is down.

An academic study published in 2022 looked at the relationship between NFTs and crypto assets. It found that NFT returns had a negative and significant relationship with ether prices in the sample it examined, and it also discussed possible diversification benefits in turbulent periods. The useful takeaway is that the relationship is not fixed. It can change between periods and between types of NFT.

For your own research, date each example, note the currency used, and check whether the pattern held over a longer window.

Not all NFT activity happens on Ethereum. Marketplaces on chains such as Solana, Flow, Tezos, WAX, Algorand, TON, Cronos, Chia, Stargaze and the Internet Computer each have their own user bases, fees and native tokens. When a chain's token moves differently from ether, NFTs priced in that token can move differently too.

There are a few practical differences to keep in mind:

• Native token pricing: some collections quote prices in a chain's own token, so their dollar value follows that token.
• Community size: a smaller ecosystem can see sharp moves from a small number of buyers.
• Licensed or brand-led collections: sports or entertainment collectibles may follow release schedules and fan demand rather than crypto market cycles.
• Fees and minimums: low-fee networks can make small trades more common, which affects how volume looks.

Some marketplaces, such as NBA Top Shot and NFL All Day on Flow, are built around pack drops and fan trading, so their activity can rise and fall around new releases. Others, such as Fragment, focus on Telegram-related assets on the TON ecosystem. These are different markets with different drivers. When you compare them with ether-based NFTs, check the currency, the buyer base and the event calendar first.

A rising price can look like demand while a collection is being traded in a way that does not reflect outside buyers. Common warning signs include the following:

• Sales between wallets that share funding or appear to be controlled by one owner.
• Repeated trades of the same token at rising prices within a short time.
• Very high volume compared with the number of unique buyers.
• Large gaps between a floor price and the average sale price.
• Little or no open bidding, with most sales coming from a single listing source.
• Collections with weak liquidity, where a few small trades can set the headline price.

Wash trading and artificial activity are long-standing problems in NFT markets. Marketplaces and analytics tools have tried to flag them, but no single flag is reliable. Treat any sudden jump with suspicion until you see steady activity from many unrelated buyers over several weeks.

Also check royalty settings and whether a marketplace honours them. Changes to royalty rules can alter the economics for sellers and collectors, and they can influence price without any change in demand.

You can check the data yourself without relying on any headline. This is a practical sequence:

1. Pick one collection or marketplace and write down the currency you will use.
2. Record the floor price and recent sale prices on the marketplace's activity page for today, 7 days, 30 days and 90 days.
3. Note the number of sales and unique buyers for each window.
4. Convert the figures into dollars using a reliable price source with a timestamp, so the comparison is consistent.
5. Compare with bitcoin and ether over the same windows, not with a different start date.
6. Look at listing depth: how many tokens are for sale near the floor.
7. Check the contract address on a chain explorer to confirm you are looking at the right collection.
8. Repeat the check a week later before drawing any conclusion.

Figures for prices, volumes and floors change often, so this guide does not list current numbers. Use live marketplace data and a current price feed for the actual values on the day you check. Keep a short note of what you found and when, so you can compare later.

If you hold or trade NFTs, the risks go beyond price direction. Good practice includes the following:

• Set a budget you can afford to lose, and do not borrow to buy NFTs.
• Protect your wallet with a hardware wallet or careful seed phrase storage, and never share recovery phrases.
• Verify links and sign-in requests before connecting a wallet, since phishing sites often copy marketplace pages.
• Check liquidity before you buy, because some NFTs may be hard to sell at the displayed price.
• Track tax obligations for each sale, transfer or swap, and keep records. Tax rules vary by country.
• Check your local laws on crypto assets, trading and any gambling-style products such as random packs or draws.
• Be 18 or older where local rules require it for any product that includes chance-based elements.

Do not rely on a single rising chart as a reason to buy, and do not trade to recover earlier losses. If you are unsure, consider speaking to a qualified financial or tax adviser in your jurisdiction.