Interactive Forecast Sliders Launched on Datamine Network
💡 AI Article Summary
Advanced Reward Projection Tools
Datamine Network has introduced interactive Burn and Time sliders to its forecasting calculator, giving users the precise tools needed to project potential earnings. By adjusting these variables, participants can customize their calculations to evaluate specific time and burn bonuses, simplifying how they plan their ecosystem strategies.
Real-Time On-Chain Forecasting
The updated forecasting calculator leverages real-time, on-chain USDC data to provide accurate projections. This addition allows validators and liquidity providers to project their maximum 30x monthly rewards based on current market dynamics. By adjusting both the burning volume and locking duration, users can simulate how different commitments affect their yield across the multi-chain ecosystem, including DAM, FLUX, ArbiFLUX, and LOCK. With these new tools, the Datamine community can make data-driven decisions using transparent, immutable on-chain statistics directly from the decentralized dashboard.
Hey guys, be sure to check out the new Burn & Time sliders in our forecasting calculator. You can drag these to specify any time/burn bonus you want. This way you can now forecast your monthly max x30 rewards! Now you have all the tools to do any forecasting you can dream of using realtime on-chain USDc data of course.🔥
Frequently Asked Questions
What do the new Burn and Time sliders do in the Datamine calculator?
The Burn and Time sliders allow users to manually adjust and simulate different burning levels and locking durations to estimate their potential yield and reward multipliers.
What kind of rewards can I forecast with this tool?
You can forecast your maximum monthly 30x rewards by inputting customized parameters to see how burn and time bonuses impact token generation.
What data does the forecasting calculator use?
The calculator runs on real-time, on-chain USDC data to ensure all projections and metrics reflect current market conditions transparently.
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