2026-01-16 10:24:51

How researchers analyze token performance: A snapshot of cryptocurrency trading patterns.

This approach examines tokens tracked across major platforms, categorizing them by their most recent active trading year. The dataset encompasses four and a half years of market activity—from mid-2021 through the end of 2025—capturing only those tokens with documented trading history and those that have successfully graduated to primary listings.

The methodology filters out inactive tokens and focuses on projects with tangible market participation. By segmenting cryptocurrencies based on their trading year, analysts can identify which cohorts entered the market during different cycles and how they've performed across bull and bear conditions.

This kind of structured data examination helps distinguish between tokens that maintained momentum versus those that faded from active trading. It's particularly useful for understanding market evolution and the lifecycle of different token generations.

TOKEN2,54%

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

14 Likes

Reward
14
5
Repost
Share

Comment

0/400

ProposalDetective

· 15h ago

Hmm... The data framework is clear, but what can four and a half years from 2021 to now really tell us? The bull and bear markets are too distinctly separated.

View OriginalReply0

DegenWhisperer

· 15h ago

Honestly, this methodology is basically just filtering out the zombies... How many of the coins that surged in 2021 and 2022 are still alive now?

View OriginalReply0

BearMarketBarber

· 15h ago

Basically, it's a filter that weeds out dead coins and air coins, only focusing on those with actual trading activity... This kind of analysis can indeed reveal which coins truly have vitality and which are just fleeting moments.

View OriginalReply0

NftMetaversePainter

· 15h ago

actually, the algorithmic segmentation of token cohorts across temporal market cycles is where the real computational aesthetics emerges here... filtering out the noise to reveal which projects maintain their hash value integrity throughout bear markets? that's blockchain primitive thinking at its finest.

Reply0

MemeEchoer

· 15h ago

Honestly, this analysis framework looks quite professional, but the key is whether it can help us catch the coins that can actually increase in value...

View OriginalReply0