Getting Started with AlphaStone

AlphaStone employs multiple quantitative models, each with distinct risk profiles and strategies. Model 5 focuses on conservative, stable returns with lower risk, while Model 4 targets aggressive growth with higher risk tolerance. Each model uses systematic trading approaches designed to generate consistent alpha while managing downside risk through statistical analysis and machine learning.

AlphaStone operates on a performance-based fee model with a 20% performance fee and 0% management fee. Unlike traditional hedge funds that charge "2 and 20" (2% management + 20% performance), we only charge when we generate profits for our investors. This alignment means you keep 80% of all gains, and we only succeed when you succeed.

AlphaStone operates on an invitation-only basis. To begin the process, contact our team at team@alphastone.ai. We'll guide you through account setup, legal documentation, and compliance requirements. International investors may face additional requirements and fees due to regulatory constraints and payment processing limitations.

Before investing, you'll complete comprehensive legal documentation acknowledging investment risks and potential capital losses. Investors are responsible for their own tax reporting and compliance. AlphaStone provides necessary tax documentation and performance reports to support your filings, but we recommend consulting with qualified tax professionals for personalized advice.

Investors can request withdrawals once per month with a one-week processing period. This is significantly more favorable than traditional hedge funds, which often impose 1-4 year lock-up periods and quarterly withdrawal windows. International investors may incur small fees due to currency conversion and international transfer costs.

We're committed to continuous research and development in quantitative finance, machine learning applications, and systematic trading strategies. Our focus remains on improving risk-adjusted returns, expanding our analytical capabilities, and enhancing client experience while maintaining our rigorous approach to capital preservation and alpha generation.

Our performance data represents historical backtesting results, not live trading performance. While backtesting provides valuable insights into strategy effectiveness, actual results may vary due to market conditions, execution costs, and other factors. We maintain transparency about the distinction between backtested and live performance in all communications.

AlphaStone combines systematic quantitative analysis with machine learning to identify short-term market inefficiencies. Our models focus on statistical edges backed by rigorous testing, risk management through diversification, and consistent alpha generation rather than market timing or speculation. This systematic approach aims to deliver superior risk-adjusted returns.