Reward Mechanism
The rewards in our system are adjusted dynamically using AI analysis of several key factors:
Market Sentiment: Real-time analysis of token price volatility, liquidity, and trading volume helps determine whether rewards need to be increased or decreased.
Network Participation: The AI continuously monitors the number of tokens staked in the network and adjusts rewards to incentivize participation during periods of lower staking activity.
Stake Duration: Stakers who lock up their tokens for longer periods receive proportionally higher rewards, encouraging long-term commitment to the network.
Staker Behavior: Our AI learns from past staking behaviors to detect and prevent opportunistic or manipulative activity, ensuring a fair distribution of rewards.
Fee Structure: A 0.5% transaction fee is applied to every transaction, with a portion used to replenish the staking reward pool. This creates a sustainable mechanism that ensures rewards remain competitive without causing inflation or draining the ecosystem.
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