Beyond transaction volume, how can we use price spread and depth to understand the liquidity of tokenized assets?

CN
RootData
Follow
1 hour ago

Trading volume answers "how much has happened," not "can it be successfully traded"

Trading volume is an important record of market activity, but it cannot independently indicate the quality of quotes at a given moment. Two trading venues may display similar trading volumes, yet due to differences in bid-ask spreads, order book shapes, and individual trade sizes, they can present very different market conditions.

Price spreads provide cost clues

The distance between the buy price and sell price can help readers understand the tightness of visible quotes. Attention should be paid to the corresponding asset version, quote currency, sampling time, and calculation method. A wider spread is a phenomenon that requires further observation and should not be directly equated with a risk conclusion.

Depth indicates how much visible demand the order book can absorb

Order book depth is usually calculated around a certain price range. When reading depth, one should also confirm the range, currency, update time, and whether only part of the orders is displayed. It describes the visible order book, not the total available liquidity in the market.

Use the same standard to look multiple times, rather than providing a universal threshold

Instead of giving a "good or bad" standard applicable to all assets, it is more reliable to track changes under the same asset, within the same price range and a similar time frame. This allows for the discovery of whether there has been a verifiable change in market conditions.

Conclusion

For further browsing of structured data and market information on tokenized assets, please visit RootData: https://www.rootdata.com/tokenized-assets

免责声明:本文章仅代表作者个人观点,不代表本平台的立场和观点。本文章仅供信息分享,不构成对任何人的任何投资建议。用户与作者之间的任何争议,与本平台无关。如网页中刊载的文章或图片涉及侵权,请提供相关的权利证明和身份证明发送邮件到[email protected],本平台相关工作人员将会进行核查。

Share To
APP

X

Telegram

Facebook

Reddit

CopyLink