appleandroid
light

Language

  • English
  • Română

Currency

  • $ USD
  • € EUR
  • lei RON
  • ₹ INR
  • AUD
news-imageAugust 29, 2023

PancakeSwap Implements Strategic Token Burn Worth $11 Million to Foster Ecosystem Health

In a strategic move aimed at bolstering its platform's ecosystem and underscoring its commitment to responsible token management, the renowned cryptocurrency platform, PancakeSwap, has successfully carried out a substantial burn of its CAKE tokens. This development, involving the elimination of approximately 8.67 million tokens with an estimated value of $11 million, not only showcases PancakeSwap's dedication to sustainable growth but also underscores its unwavering focus on fostering a thriving community.
Publisher: The Currency Analytics
Sentiment: Positive
CAKE

More News Articles

Positive
cover-imageCrypto news
September 2, 2024

PancakeSwap burns CAKE tokens worth $15m

PancakeSwap has seen the price of its native token rise slightly after the multi-chain decentralized exchange announced it had burned more than 9 million of the tokens. The price of PancakeSwap (CAKE) rose by about 2.3% following the announcement.

Positive
cover-imageCrypto Economy
August 6, 2024

PancakeSwap Launches New Platform for DeFi Quests

TL;DR PancakeSwap has launched the beta version of its Quest platform, designed to simplify interaction with quests in the DeFi ecosystem. Quest unifies the management of its campaigns and those of its partners, addressing fragmentation in the DeFi ecosystem.

Positive
cover-imageTokenpost
June 27, 2024

PancakeSwap Unveils AI-Powered Ether Prediction Market on Arbitrum with Allora

PancakeSwap has launched an AI-powered Prediction Market on Arbitrum, allowing users to forecast Ether price fluctuations with data supplied by Allora Networks machine-learning capabilities. PancakeSwap Teams Up with Allora to Launch AI-Driven Ether Prediction Market on Arbitrum PancakeSwaps AI-powered market now enables Arbitrum users to forecast Ether price fluctuations, utilizing Alloras machine-learning data to ensure precision.

Next Page 1