Analyzes the security and potential risks of Ethereum tokens using the GoPlus Token Security API and Rug Pull Detection API
A Python-based analyzer that generates actionable insights into governance health and tokenomics for DeFi protocols like Compound, Uniswap, and Aave.
chart vesting schedules for token, equities, or shares. Built using Python (pandas, matplotlib and numpy).
AstroCrown ACS simulation engine & NOVA governance logic — pure-floor (LCR=1.00) with fee-aware execution triggers.
This project envisions the hedge fund of the future (2030 and beyond) — one that is AI-powered, decentralized, and fully autonomous. It merges multi-agent reinforcement learning, blockchain governance, and explainable AI into a self-governing, investor-trustworthy platform for next-generation asset management.
A detailed simulation and analysis of the NeuroSphere ecosystem, including prompt tokenomics, burn mechanics, liquidity pools, transaction fees and market scenarios. Designed to guide strategic decisions and investor presentations.
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