AI-Powered Portfolio Optimization
Adaptive Intelligence for Consistent Alpha Generation
Hannan Nussbaum | Founder & Lead Quantitative Strategist
info@alpha-machine.com | alpha-machine.com
Traditional portfolio management is failing to adapt to modern market complexity
Global assets under management exceed $100 trillion, with increasing demand for algorithmic solutions
Over 80% of active managers fail to beat their benchmark over 10+ year periods
AI in fintech projected to reach $61B by 2030, with algorithmic trading leading adoption
Market regimes shift constantly - statistical properties change over time, requiring adaptive solutions
Mean-variance optimization assumes stationary distributions - but markets are inherently non-stationary. Factor models miss regime changes. Human traders suffer from cognitive biases.
The market requires a system that learns and adapts continuously to evolving dynamics.
Fully automated portfolio optimization that learns and adapts to changing market conditions
Market conditions & opportunities
AI-driven portfolio decisions
Automated trade execution
Continuous improvement
Key Advantage: Our AI continuously learns from market behavior, adapting to changing conditions and discovering opportunities that traditional approaches miss.
Advanced AI models that learn and adapt to market conditions
RSI, MACD, Bollinger Bands, momentum, volatility, correlation metrics
Scalable cloud computing for intensive model training and live execution
Event-driven backtesting with realistic transaction costs, slippage, and market impact
Institutional-grade API integration with leading brokers for efficient order execution
Full programmatic control - manage entire system via REST API and command-line interface
A systematic process ensuring adaptive performance
Download and integrate fresh market data from institutional feeds
Train new AI models using latest market data
Out-of-sample backtesting generating comprehensive performance metrics
Deploy top-performing ensemble models ranked by KPIs
This continuous loop ensures models adapt to evolving market conditions, maintaining edge through constant refinement.
Phase 1: Live forex trading results with Oanda (multi-asset expansion planned)
~3%
Monthly Returns
Consistent performance across market conditions
10:1
Leverage Ratio
Conservative risk management approach
24/7
Market Monitoring
Continuous adaptation and execution
Sharpe Ratio
Risk-adjusted returns
Max Drawdown
Controlled downside
Win Rate
Consistent profitability
Expectancy
Positive edge per trade
Launch our own AI-powered hedge fund
2% + 20% fee structure
Partner with prop firms to trade their capital
Profit sharing
Manage capital for HNW individuals & family offices
Performance fees
License technology to hedge funds, investment banks & financial institutions
Enterprise licensing
Target Markets: Institutional investors, prop trading firms, family offices, and HNW individuals seeking fully automated AI-driven alpha generation
Founder & Lead Quantitative Strategist
linkedin.com/in/hannannussbaum
Selected participant providing access to enterprise resources
Scalable computing infrastructure for intensive model training
Access to Google Cloud expertise and developer resources
Connection to Google's startup ecosystem and mentorship
Live forex trading
Performance validation
28 currency pairs
Stock markets
Index ETFs
Sector rotation
Commodities
Crypto assets
24/7 markets
Launch fund
Multi-strategy
Institutional AUM
Architecture Ready: Our system already supports multiple asset classes - forex is the proving ground before expanding to equities, futures, and crypto markets
We are democratizing access to sophisticated AI investment strategies
Thank You
Hannan Nussbaum | Founder & Lead Quantitative Strategist