Getting listed on a major centralized exchange is one of the most anticipated events in a crypto project’s lifecycle. The assumption has long been that a Binance or Coinbase listing delivers a meaningful price pop, a surge in trading volume, and a durable step-up in liquidity. Early crypto market data appeared to support this. Listing events in previous cycles routinely produced double-digit abnormal returns in the days surrounding the listing, with significant volume spikes well before the listing day itself (Blockchain Research Lab, “Exploring Market Reactions to Exchange Listings of Cryptocurrencies”, 2019). The pattern was consistent enough to become conventional wisdom for project teams and traders alike.
The data from 2023 onward tells a more complicated story.
The listing effect is real, but it has been systematically repriced. Price returns are front-loaded before the listing even begins, driven by pre-announcement run-ups that increasingly reflect markets pricing the event in advance. The consistency and timing of these pre-listing moves raise questions about front-running and insider knowledge, not just organic anticipation of public announcements. The post-listing drift is short-lived and largely mean-reverts within two weeks. Volume and liquidity benefits are more durable, but they too vary significantly depending on which exchange is doing the listing and how many venues already carry the token.
This report works through the evidence question by question, using a cohort of 1,844 listing events across 5 major exchanges from Jan 2023 to Jun 2026. All price returns are BTC-adjusted (the raw token return minus BTC’s return over the same window) to isolate the listing-specific effect from broad market moves.
Price data is sourced from CCData and covers spot OHLCV on Binance, Coinbase, OKX, Bybit, Kraken, Upbit, and Bithumb from January 2023 onward. Each listing event is defined as the first instant of live trading for a given token on a given exchange in a USD-denominated pair. Returns are calculated as the cumulative change in volume-weighted average price (VWAP), indexed to zero at the listing date, then adjusted by subtracting BTC’s cumulative return over the same window. To limit the influence of extreme outliers, all price returns are winsorized at the 1st and 99th percentiles; volume is winsorized more aggressively at the 90th percentile given the highly right-skewed distribution of trading activity around listing events. Where relevant, commentary references the 2021–2022 cycle as context, as listing premiums during that period were materially higher, consistent with a broadly elevated altcoin environment. See the Full Methodology Notes at the end of this report for complete definitions, assumptions, and limitations.
Before interpreting the data, it helps to understand how each exchange actually signals a new listing to the market. The mechanics differ meaningfully across venues (timing, transparency, and channel), and those differences have direct implications for how pre-listing price and volume patterns form.
Binance operates on very short notice. Listings are confirmed on the official announcements page and mirrored on X, typically only hours to one or two days before trading opens. There is no public forward calendar. Each notice specifies exact deposit, trading, and withdrawal times in UTC, and higher-risk tokens carry a “Seed Tag” requiring traders to pass a periodic risk quiz before participating.
Coinbase uses a two-stage system. A public listing roadmap, communicated via the Coinbase blog and the @CoinbaseAssets X account, signals assets the exchange is preparing to support, sometimes days or weeks ahead. Roadmap inclusion is not a guarantee of listing. The actual trading launch is announced separately and rolls out in phases (transfer-only, then limit orders, then full trading). Lead time between roadmap appearance and live trading is typically 48–72 hours, though some assets sit on the roadmap considerably longer.
Kraken also maintains a public listings roadmap page, but the binding go-live signal still arrives shortly before trading opens via the Kraken X account and blog. The roadmap provides some forward visibility without locking in a precise launch date, which is consistent with Kraken’s tendency to appear as a later-stage listing in sequencing data rather than an entry point.
Bybit posts confirmed listings on its announcements page on a rolling basis with no fixed forward calendar. Each announcement specifies three separate times: deposit open, spot trading open, and withdrawals enabled. Lead time is typically one to three days.
Upbit operates on the most compressed timeline of the group. Listings are posted as official notices on the Upbit site, with major listings surfaced on the official X account. Deposits typically open only one to three hours before trading begins (in some cases as little as 90 minutes after the notice), with trading starting at a scheduled window in KST the same day. First-day trading restrictions apply, including a brief no-buy window at open and limits on sell orders priced well below the prior close. The combination of very short advance notice and a concentrated, active retail user base may explain why Upbit listings tend to trigger sharp same-day price reactions.
These differences in announcement lead time and transparency shape how much of the listing premium is captured before Day 0 versus after. Exchanges with longer and more public pre-announcement windows give more time for positioning; those with same-day or hours-before notices compress the pre-listing window and concentrate the reaction at the event itself.
Yes, but the effect is smaller than it appears: front-loaded before the listing even begins, and largely mean-reverts within weeks.
A useful starting point is the hit rate: across the cohort, a higher share of tokens run up into the listing day than post a positive BTC-adjusted return after it. More tokens gain in the days leading up to Day 0 than gain in the days that follow. The pre-listing window is where the majority of the action consistently occurs.
The full BTC-adjusted return curve shows the complete picture. Returns begin rising before Day 0, driven by a combination of official exchange announcements (which typically precede live trading by days) and informed front-running by traders who anticipate or learn of listings in advance. Once the token starts trading on the new venue, the move largely dissipates, with the adjusted return going flat or turning negative shortly after listing. The key implication: the listing itself is less of a price catalyst than the announcement. By the time a token goes live on the new exchange, much of the move has already happened.
Volume also spikes around listing day, but unlike price, the elevation persists. The chart below shows the cohort-wide median volume indexed to the pre-listing baseline. Volume runs well above baseline in the first week of trading and remains durably elevated for weeks after, rather than mean-reverting quickly the way price does.
Mostly new activity. The data does not support a cannibalization thesis.
The chart below compares the median total volume change versus the change in volume on other exchanges (venues where the token was already trading before the new listing), measured over the 30 days post-listing versus the 30 days prior. Across all exchanges in the cohort, both lines are positive: total volume rises and other-exchange volume also rises, just by a smaller amount. This suggests listings are largely additive: the new venue brings in incremental trading activity rather than simply pulling traders away from existing venues.
The data does not support a cannibalization story. Both total volume and other-exchange volume increase after a listing across all major venues, indicating that new exchange listings generate net new trading activity rather than redistributing existing volume. The listing venue captures the largest share of the incremental activity, but existing venues also benefit.
Project teams and investors have long treated a Binance or Coinbase listing as a categorically different event from any other venue. The price data suggests the gap is smaller than assumed. Tier 1 and Tier 2 exchanges produce broadly similar-shaped curves: a pre-listing run-up, a modest post-listing bump, and a decay back toward flat within a few weeks.
Narrowing to the most recent cohort (2025 onward) does not materially change the picture. No single venue stands out as consistently superior, and any differences between exchanges do not appear to be statistically meaningful given the spread of outcomes across tokens.
Volume tells a somewhat different story. While most exchanges show a comparable post-listing volume spike relative to their pre-listing baseline, Bybit stands out. Tokens listed on Bybit show materially higher volume increases than what is seen on other major venues. Several factors may be contributing: centralized exchanges routinely run trading competitions, maker rebates, and promotional campaigns around new listings, and Bybit has been particularly active with these incentive structures. Market makers also play a role, as exchanges negotiate liquidity agreements for new listings whose terms (spread requirements, volume commitments, incentive structures) vary significantly across venues and can inflate reported volume in the days following a listing.
User base composition is also a factor. Both Bybit and Upbit skew heavily toward Korean and broader Asian retail traders, a market that is genuinely distinct in character, with higher retail participation rates, more active engagement with new listings and trading competitions, and a stronger appetite for short-term momentum trading around new assets.
The elevated volume on Bybit persists when looking at the more recent 2025 cohort as well, suggesting it is not an artifact of one particular year. The honest interpretation is that it likely reflects a combination of promotional mechanics, market maker activity, and genuine user interest, in proportions that are difficult to separate from price and volume data alone.
From a price return perspective, no exchange consistently delivers a superior BTC-adjusted outcome. The dominant pattern of pre-listing run-up and post-listing decay holds across all venues. On the volume side, Bybit is a notable exception, with listings showing materially higher sustained volume increases. This likely reflects a mix of exchange-run trading incentives, market maker activity, and user base composition rather than purely organic demand. The separation in the data is real and worth monitoring.
Price and volume don’t follow the same clock after a listing, and that gap is one of the more practically useful findings here.
Price jumps in the days leading up to listing, then quickly goes flat or negative once trading begins. The catalyst is largely spent before Day 0. Volume behaves differently: the spike is larger, and it holds. Where price has largely mean-reverted within a week, volume remains elevated well past that point for the typical token.
The durable benefit of a major exchange listing is volume, not price. The price premium is real but front-loaded and mean-reverting within weeks. The volume increase is larger and longer-lived, suggesting that for project teams, the strategic value of a listing is in sustained market depth and accessibility, not in the short-term price catalyst.
Heavy trading activity on other exchanges in the days before a listing could signal informed positioning, or it could signal a crowded trade that exhausts buying pressure before the listing even happens. The chart below breaks tokens into buckets by how much their other-exchange volume spiked in D−3 to D0 relative to the 30-day baseline, and shows the average BTC-adjusted return at D+1, D+7, and D+14. Error bars are ±1 standard error.
Tokens that entered their listing with little or no pre-listing volume spike tend to show higher returns at the D+7 and D+14 mark. A large pre-listing spike appears to pull forward demand, leaving less room for continuation once trading begins on the new venue.
The listing effect in 2023 and beyond is real but narrower than conventional wisdom suggests. The durable benefit is volume and market depth, not price. The price premium is front-loaded, mean-reverting, and increasingly reflected in pre-announcement moves. Which exchange lists a token matters, how many venues already carry it matters, and token size shapes the magnitude of the reaction. No single factor cleanly predicts outcomes at the individual token level.
A follow-up piece will focus on a specific client question: what is the incremental benefit of a Binance listing for a token that is already trading on three or more Tier 1 or Tier 2 exchanges? That case study will test whether the Binance premium holds once prior exchange exposure is accounted for.
All price, volume, and orderbook data are sourced from CCData (formerly CryptoCompare). Spot OHLCV data is pulled at daily granularity. BTC prices use the CCData CADLI composite index, which aggregates across major venues and is more stable than any single-exchange price feed. Orderbook depth and spread metrics are sourced from the CCData historical orderbook L2 API at daily granularity.
The cohort includes all tokens that first traded on one of the seven major exchanges (Binance, Coinbase, OKX, Bybit, Kraken, Upbit, and Bithumb) in a USD-denominated pair (USD, USDT, USDC, BUSD, FDUSD) from January 1, 2023 onward. The listing date for each (token, exchange) pair is defined as the date of first recorded trade. Tokens that have since been delisted are intentionally included to avoid survivorship bias, as restricting to currently active instruments would disproportionately filter out listings that underperformed or were wound down. The 2021-2022 period is excluded from the analysis cohort but referenced in commentary as a prior-cycle baseline where listing premiums were materially higher.
Where a token trades against multiple quote currencies on the same exchange, the instrument is deduplicated in order of quote preference: USDT → USD → USDC → BUSD → FDUSD.
Exchanges are grouped into three tiers based on global volume and user reach:
| Tier | Exchanges |
|---|---|
| Tier 1 | Binance, Coinbase |
| Tier 2 | OKX, Bybit, Kraken |
| Tier 3 | Upbit, Bithumb |
For each listing event, the cumulative return is calculated as:
Cumulative Return = (VWAP Close on Day t) / (VWAP Close on Day 0) − 1
where Day 0 is the listing date and VWAP is computed as the volume-weighted average across all exchanges where the token was actively trading on that day. This aggregated VWAP is used rather than the price on the listing exchange alone to avoid anomalous first-day prices driven by thin liquidity on the new venue.
The BTC-adjusted return subtracts BTC’s cumulative return over the same window:
Adj. Return = Cumulative Return − BTC Cumulative Return
BTC return is indexed from the same listing date so the adjustment captures the market move concurrent with the listing window, not a fixed calendar period.
Extreme outliers are capped at the following percentiles, computed across the full cohort at each relative day:
| Metric | Lower Bound | Upper Bound | Rationale |
|---|---|---|---|
| Price returns | 1st pct | 99th pct | Suppress multi-thousand-percent pumps and near-total losses |
| Volume (indexed) | 0 | 90th pct | Volume distributions are highly right-skewed; a small number of listing events generate extreme spikes that would compress the visible range for all other tokens |
Winsorization is applied globally across the cohort, not per-exchange or per-token.
Data is pulled for a window of 60 days pre-listing to 90 days post-listing for each token. Charts and milestone statistics use a tighter display window of D−14 to D+42 unless otherwise noted. Volume persistence and decay analyses extend to D+90 to capture the full decay curve.
The pre-listing volume baseline is computed as the mean of total daily cross-exchange volume over the 30-day window immediately preceding the listing date. Daily volume after listing is indexed against this baseline:
Vol Indexed = Daily Cross-Exchange Volume / 30-Day Pre-Listing Average
A value of 1.0 indicates volume equal to the pre-listing baseline. The volume persistence analysis uses a threshold of 1.5x baseline (+50%) to define “elevated” volume, conservative enough to exclude noise while capturing a meaningful sustained increase.
For each listing event, the number of prior major-exchange listings for the same token is computed as the count of distinct exchanges in the cohort that had already listed the token before the current listing date. This variable segments the cohort into four groups: first major listing (0 prior), 1 prior exchange, 2 prior exchanges, and 3 or more prior exchanges.
The “other-exchange volume change” measures how volume on all exchanges other than the newly listing exchange changes around the event. A negative value indicates that volume migrated to the new venue from existing venues rather than representing net new trading activity. This is computed as the percentage change in mean daily other-exchange volume from the 30-day pre-listing window to the post-listing window.
Orderbook metrics are sourced from the CCData historical L2 orderbook API. Depth is measured as the total USD value of resting bids and asks within 1% and 2% of the mid-price. Spread is the percentage difference between best bid and best ask. Both metrics are indexed to each token’s pre-listing median to normalize for differences in absolute price level and market size across tokens.
Source: CCData, The Tie. Analysis covers 1,844 listing events on 5 major exchanges from Jan 2023 to Jun 2026. All price returns are winsorized at the 1st/99th percentile. Volume indexed to 30-day pre-listing baseline, winsorized at the 90th percentile.