Goliath Capital. Investment

AI+Blockchain Dual Stack Fund

This unique strategy combines quantitative crypto trading with direct exposure to AI-driven blockchain protocols—projects that use ML for on-chain prediction, automated DeFi optimization, or decentralized AI model training (e.g., Bittensor, Fetch.ai, SingularityNET). We allocate 60% to alpha-generating crypto signals and 40% to AI-token fundamentals, using NLP models to analyze whitepaper sentiment, GitHub commit velocity, and research citations. The fund benefits from compounding tailwinds: AI demand fuels blockchain compute needs, while decentralized networks enhance model transparency and data integrity. Backtested over 3 years, the dual-stack approach outperformed pure crypto indices by 28% CAGR with lower volatility due to hedge layering.