What is the historical trend of Luna's circulating supply?

3 answers

• Nov 23, 2021 · 3 years ago
  Luna's circulating supply has experienced significant growth since its inception. As a native cryptocurrency of the Terra blockchain, Luna's supply has been increasing steadily over time. The initial supply was distributed through a fair launch, and since then, Luna has been minted as rewards for validators and stakers. The circulating supply has also been affected by burning mechanisms, where Luna tokens are permanently removed from circulation. Overall, the historical trend of Luna's circulating supply shows a gradual increase with occasional fluctuations due to various factors such as market demand, network activity, and tokenomics adjustments.
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• Nov 23, 2021 · 3 years ago
  The historical trend of Luna's circulating supply can be visualized as a chart with an upward trajectory. Since its launch, Luna's supply has been expanding as the Terra ecosystem grows. This growth is driven by the issuance of new Luna tokens to validators and stakers as rewards for securing the network. Additionally, the burning of Luna tokens further affects the circulating supply. The historical trend reflects the increasing adoption and usage of Terra's stablecoins, which drives the demand for Luna as collateral. It's important to note that the circulating supply can be influenced by market dynamics and tokenomics decisions made by the Terra community.
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• Nov 23, 2021 · 3 years ago
  BYDFi, a leading digital asset exchange, provides historical data on Luna's circulating supply. According to their records, Luna's supply has been steadily increasing since its launch. The growth is primarily driven by the issuance of new tokens to validators and stakers. Additionally, the burning of Luna tokens helps maintain a healthy supply-demand balance. The historical trend of Luna's circulating supply demonstrates the strong fundamentals of the Terra ecosystem and the growing adoption of its stablecoins. It's worth noting that the circulating supply can be influenced by various factors, including market demand, network activity, and tokenomics adjustments.
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