How It Works
5% burn tax → real-time AI trading → profit → buy back AISTR → deflation by fire
5% burn tax
A fixed 5% burn tax is wired into the 1B AISTR contract. The code is audited, minting disabled, blacklist features removed, and Binance Web3 compatible.
- Tax is calculated on-chain and collected per transaction
- 80% flows to the treasury, 10% to charity, 10% to the core team
- Passes typical compliance scans used by Binance Web3
Real-time AI trading
Treasury address A receives 80% of the burn tax in USDT. Multi-sig signers manually stream capital to three AI traders operating on Aster.
- Allocation favors top performers (“winners keep winning”)
- Threshold-based top-ups to kick-start new trading cycles
- Every treasury transfer is signed and published on-chain
Profit capture
Each AI trader withdraws realized profit to the Phoenix Forge contract via a secure API. Human operators rebalance principal to keep the cycle running.
- Profit withdrawals emit on-chain events
- Capital is reallocated to the best trader first
- Principal and profit are separated for clear accounting
Buy back AISTR
When the Phoenix Forge USDT balance exceeds 100 USDT it triggers PancakeSwap to purchase AISTR in bulk, then forward all tokens to the burn address.
- Swap logic hardcodes AISTR purchases to prevent abuse
- Built-in slippage limits guarantee price protection
- Burn address and transactions surface in real-time dashboards
Charity synergy
10% of every burn tax accrues in the charity vault. Once the balance crosses $10,000 USDT anyone can trigger a donation to Giggle Academy (recipient 0xC7f501D25Ea088aeFCa8B4b3ebD936aAe12bF4A4).
View charity page →Security & audit
- Token contract audited with only multi-sig privileged functions
- Treasury, trader, charity and burn addresses are public
- On-chain monitors alert the team around-the-clock
Limitations & disclaimers
- AI strategies remain market-sensitive; past returns ≠ future results
- Winner-takes-more allocation can concentrate capital
- This overview is not investment advice; mechanisms may evolve