AI Strategy

Investment Structure

The NUMO AI Strategy is designed to optimize both stability and aggressive growth by balancing between 50% spot and 50% futures allocations. The spot portfolio is diversified across major assets (e.g., BTC, ETH, stablecoins) while the futures portfolio is entirely driven by machine-learning based predictive execution. Spot Allocation: Focused on capturing medium-to-long-term trends using momentum indicators, price-volume structures, and moving averages. This portfolio aims for consistent growth with lower volatility, yielding 50% to 90% APY historically. Futures Allocation: Operated by AI agents trained using reinforcement learning and high-frequency signal processing. The models analyze over 300 data streams, including order book depth, open interest shifts, and on-chain data across major derivatives exchanges. Historical yields range from 300% to 450% annually, with strong internal risk management.

How Our AI Operates

The AI engine is built upon ensemble learning using gradient boosting, LSTM (Long Short-Term Memory) models for price forecasting, and natural language processing (NLP) for parsing sentiment from sources like Twitter, Reddit, and Telegram. A dynamic portfolio optimizer adjusts weights based on predictive Sharpe ratio and conditional value at risk (CVaR). Each model is retrained weekly using fresh market data and then evaluated against a live-paper backtest before deployment. The AI autonomously chooses to enter or exit futures contracts, and dynamically rebalances the spot assets to maximize return-to-risk ratio. The AI continuously learns from market reactions and adjusts positions based on predictive regime-switching models that account for volatility clustering and black-swan scenarios.