How Can You Compare Crypto Assets on CoinEx Markets?

A useful CoinEx comparison starts with six fields: 24-hour price change, traded amount, market capitalization, high-low range, buy/sell volume, and order-book depth. CoinEx’s Market Data page, updated in 2025, groups assets into six rankings and supports price-change windows of 24 hours, 7 days, and 30 days. Its spot ticker uses an 86,400-second reporting period and returns opening, latest, high, low, filled volume, filled amount, taker-buy volume, and taker-sell volume. Comparing the same USDT pairs across these fields gives a more useful picture than ranking coins by percentage gain alone.

Start with assets that are reasonably comparable. Putting a large-cap Layer 1 token beside a newly listed micro-cap token may produce impressive percentage differences, but the two markets can have very different supplies, trading activity, and order books. CoinEx provides Market Cap and New Listings as separate rankings, which helps keep size and listing age visible during comparison.

Use the same quote currency where possible. Comparing BTC/USDT, ETH/USDT, and another USDT pair keeps the quoted prices in one unit; mixing USDT and BTC pairs adds another changing asset to the comparison. A 6% move in a USDT pair can be read directly against another 6% USDT move without first adjusting for changes in the quote asset.

Price change should then be read across several periods. CoinEx Market Data supports 24-hour, 7-day, and 30-day price-change distributions, while historical market-cap charts can be viewed over 1 month, 3 months, 6 months, 1 year, or the full available history. A one-day ranking therefore provides only one layer of the comparison.

Consider a hypothetical pair of assets:

Metric	Asset A	Asset B
24H change	+18%	+5%
7D change	-22%	+14%
30D change	-41%	+27%
24H traded amount	$3.8M	$96M

Asset A leads the daily ranking, yet its 30-day path is still deeply negative. Asset B has a smaller one-day move but positive figures over all three periods. The table does not establish which asset will perform better next; it shows why an 18% daily gain cannot be read without its prior price path.

Trading activity is the next useful comparison because percentage moves are easier to produce in thin markets. CoinEx’s spot ticker reports filled volume and filled trading amount for a fixed 86,400-second period, together with the latest, opening, closing, high, and low prices. That allows the price move and the amount traded during the same period to be placed side by side.

Suppose Token C rises 12% on $700,000 of daily trading, while Token D rises 8% on $140 million. The 12% figure is larger, but Token D has 200 times more quoted turnover in this example. A trader studying market participation would therefore have information that a gainers list alone cannot provide.

Market capitalization should come before conclusions based on the price of one token. CoinEx’s Crypto Info interface lists market price, market capitalization, issuance date, and total circulation. Unit price cannot tell whether an asset is small or large because circulating supply can differ by several orders of magnitude.

For example, a token priced at $0.20 with 20 billion circulating units has a $4 billion circulating market capitalization. A token priced at $200 with 5 million circulating units has a $1 billion capitalization. The first token costs 1,000 times less per unit but represents four times the circulating market size in this simplified example.

Market capitalization becomes more informative when placed beside daily trading amount. A $100 million asset recording $50 million of trading in 24 hours has turnover equal to 50% of its market capitalization; a $5 billion asset recording the same $50 million has turnover of 1%. Those figures describe very different levels of trading activity relative to market size.

A high turnover percentage is not automatically positive. A small asset can record unusually large turnover during a listing, news event, or short period of speculative trading, so price history and order-book conditions still need to be checked.

The daily high and low add another layer because two assets can finish with the same return after very different intraday paths. CoinEx’s ticker exposes both figures within the same one-day period. A simple range comparison can show how far prices travelled before the period ended.

Take a $100 starting price. Asset E trades from $98 to $104, a $6 range equal to 6% of the starting price. Asset F trades from $82 to $118, a $36 range equal to 36%. Both could theoretically close at $102, producing the same 2% change from the starting level, although Asset F exposed traders to six times the intraday range.

Candlestick data can extend that comparison beyond one day. CoinEx’s spot K-line endpoint supports periods from 1 minute through 1 week and allows as many as 1,000 data points in a request. Available periods include 1, 3, 5, 15, and 30 minutes, plus several hourly intervals, 1 day, 3 days, and 1 week.

A sample of 30 daily candles can show whether a token’s large range occurred once or appeared repeatedly. A 7-day sample can also separate a single sharp session from a week of progressively higher closes. Looking at several observations reduces the chance of treating one 24-hour number as a representative trading pattern.

Buy and sell execution volumes provide another comparison. CoinEx’s ticker separates taker-buy and taker-sell volume, while the Market Data page displays order distribution over selectable 6-hour, 12-hour, and 24-hour periods. Both fields describe executed activity rather than a forecast of where price will go.

If a market records 60,000 units of taker-buy volume and 40,000 units of taker-sell volume in a selected sample, buys account for 60% of the combined 100,000 units. Another asset with the same 5% price rise might show a 51%/49% split. The price result is similar, while the composition of aggressive orders is not.

Order-book depth is useful when the comparison moves from observation to trade execution. CoinEx’s spot-depth endpoint can return 5, 10, 20, or 50 levels of bids and asks, with each level containing a price and size. A quoted last price does not show how much can actually be bought or sold close to that price.

For a simple illustration, imagine the best ask is $10.00 for 100 units, followed by $10.10 for 200 units and $10.30 for 500 units. A purchase of 50 units may stay near $10.00; an order for 600 units would have to consume several ask levels if no new orders appeared. Comparing only the latest price would miss that execution difference.

CoinEx’s Market Data page can also place an individual token inside a wider market picture. The page contains six recommended rankings—Top Gainers, Top Losers, Value Leaders, Market Cap, Top Searches, and New Listings—and a heat map showing the top 20 assets by search volume or market capitalization. The ranking used should match the question being asked.

A Top Gainers list is useful for finding strong 24-hour percentage moves; it is not a substitute for liquidity or size data. Market Cap ranks assets by scale, while the trading-amount ranking highlights active markets. Top Searches measures attention on the platform, and New Listings separates recently added assets that may have limited trading history.

Market status should be checked before comparing execution conditions. CoinEx’s spot market-status interface publishes maker and taker fee rates, minimum transaction amount, base and quote currencies, price precision, market status, and availability of AMM, margin, pre-market, and API trading. Those fields can differ from one pair to another.

The CoinEx API documentation gives BTCUSDT as an example with maker and taker fee-rate fields of 0.002, equivalent to 0.2% before any account-specific conditions are considered. On a hypothetical $10,000 trade, 0.2% equals $20, so fee settings should not be omitted when two markets otherwise look similar.

A repeatable comparison can use one row per asset and the same observation time:

Field	What to record
Price	Latest price and quote currency
Momentum	24H, 7D, 30D change
Activity	24H volume and traded amount
Size	Circulating market capitalization
Range	24H high and low
Orders	Taker-buy vs. taker-sell volume
Liquidity	5–50 order-book levels
History	30–90 daily candles
Market terms	Fees, minimum size, status

Keeping the sample consistent matters more than adding dozens of indicators. If three USDT markets are measured at the same time using 30 daily candles, the same 24-hour ticker period, and the same 20-level order-book view, differences come from the assets and markets rather than from mismatched observation windows.

For example, an analyst comparing three assets could reject a superficial result where Asset G leads with +21% in 24 hours. If G also has a $25 million market cap, $900,000 daily trading amount, and a 32% high-low range, while Asset H gains 7% on $120 million of trading with a 9% range, the two moves describe very different trading environments.

The comparison should remain descriptive rather than predictive. CoinEx supplies current prices, turnover, rankings, historical observations, executed buy/sell volume, and order-book levels; none of those fields guarantees the next return. Using the same 24-hour, 7-day, and 30-day windows across several assets makes the comparison measurable without turning recent performance into a forecast.