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#RLS The mainnet will go live on April 30th. Every transaction fee spent by banks and institutions on this chain will have half of the RLS burned directly, reducing supply and creating a long-term deflationary and price-boosting logic. Burning will push the price upward over time, becoming more and more rapid, serving as a natural "price increase engine." ๐ฅ๐ฅ๐ฅ
1. First, do a simple calculation (current circulation about 1.5 billion, total supply 10 billion)
- Now: $0.004, 1.5 billion in circulation, market cap approximately **$6 million**.
- When institutions start using it: daily transaction fees used to buy and burn tokens, reducing circulation and making it increasingly scarce.
- Burning intensity: the more institutions use it, the more tokens are burned, and the more valuable the token becomes.
2. How high can burning push the price?
- Short-term (3โ6 months, few institutions):
Burning + buy pressure, price reaches $0.01โ$0.08 (2โ8x increase).
- Mid-term (1 year, multiple banks adopting):
Continuous burning + large reduction in circulation, price reaches $0.05โ$0.20 (12โ50x increase).
- Long-term (2 years, large-scale institutional adoption):
Burning + deflation + scarcity, price surges to $0.30โ$1.00 (75โ250x increase).
3. A one-sentence summary of the power of burning
Ordinary tokens rely on hype to rise, but RLS relies on "less and less with use" to hard pump; the more institutions use it, the more burning occurs, and the higher the price, potentially increasing hundreds of times in the long run. #100xGemToken
The main reasons why itโs so powerful are supported by the following points:
1. Real institutional backing: Morgan Stanley-backed team, major capital investments from Mastercard, Tether, and other big names, not just a wild project.
2. Good track positioning: Focused on compliant onboarding of traditional banks and financial institutions, a necessary sector combining TradFi and DeFi.
3. Practical implementation: Pilot collaborations with the Central Bank of Brazilโs CBDC, large banks, and payment institutionsโnot just empty promises.
4. Technical barriers: Privacy ZK protocols combined with public-private chains, meeting institutional needs for privacy and compliance.
5. Quality token model: Fixed total supply with no inflation, half of transaction fees burned, inherently deflationary.
6. Practical use cases: Staking, governance, institutional transaction settlement, with real ecological demand.
7. Controlled unlocking schedule: Slow unlocking for team and investors, keeping selling pressure manageable.
8. Multiple future catalysts: Mainnet launch, institutional expansion, top exchanges listing, and many positive stories ahead.