BADGER - Price, Charts & Blockchain Insights

24H High

0.92000000

24H Low

0.74000000

24H Volume

1.01M

24H Volatility

24.32%

All Time High

64.900

All Time Low

0.74

Correlation with BTC

0.00

Return On Investment

-98.53%

Market Cap

0.00

Badger DAO is an open-source, decentralized automated organization that is dedicated to building products and infrastructure of simplifying the use of Bitcoin (BTC) as collateral across many smart contract platforms.The platform is a shared space where the developers, known as Badge Builders, have the ability to collaborate and implement Bitcoin as collateral to as many blockchains as possible. A developer can earn a percentage of the fees and BADGER tokens from the developer mining pool for every implementation. The mainnet was launched on December 3, 2020.A builder can be a single developer, a group of developers, or even a company. There are no fixed obligations to participation requirements, and anyone can create. The pillars of Badger DAO include the Badger Builders, the community-created products, the Dedicated Badger Operations team, the fairly initial distribution of the BADGER tokens for governance and the fact that all of the code is open-sourced.

Official Website Block Explorer

Social Media Sentiment

Bullish

0 Bullish

0 Neutral

0 Bearish

The current sentiment of BADGER on social media as of March 7, 2026 indicates a Bullish rating, with 0 users expressing a positive Bullish sentiment, 0 users opting for a Neutral, and 0 users suggesting a Bearish. This reflects a generally optimistic outlook among social media participants regarding BADGER's future outlook. While social media sentiment can provide valuable insights into public perception and market trends, its reliability as a sole reference for cryptocurrency investment decisions is limited. The data is often influenced by a small, vocal subset of users, which may not represent the broader market or include professional analysis. Factors such as hype, manipulation, or coordinated campaigns can skew sentiment, reducing its accuracy.