Swiss-based automated quant algorithm engineered for Performance.
InvestMarket Performance Comparison
A quantitative edge across global benchmarks through disciplined execution and superior risk-adjusted returns.
AZOR vs S&P500 (YTD)
About AZOR Investing
AZOR Investing is an automated Swiss fund that invests clients’ capital in the U.S. stock market. We specialize exclusively in U.S. equities, trading on the most liquid and transparent exchanges in the world — including the New York Stock Exchange (NYSE) and NASDAQ.
To ensure consistently high liquidity and institutional-grade execution, our system focuses only on the 500 largest U.S. companies — the S&P 500. This universe selection helps avoid illiquid names, reduces slippage, and supports scalability.
Our trading is driven by a proprietary quantitative system that autonomously analyzes sentiment and technical factors to identify opportunities and execute with discipline. The strategy is intraday — positions are typically opened and closed within the same trading day. The system is designed to trade both long and short, adapting to different market regimes.
The algorithm was developed by the founder, Drago Azinovic Alvarez, over the past 4 years through continuous research, testing, and refinement.
What We Do
- S&P 500 focus: trades only the 500 largest U.S. stocks for high liquidity.
- Automated execution: systematic entries/exits with consistent rules.
- Same-day trading: positions are typically closed within 1 trading day.
- Long & short: ability to participate in both rising and falling markets.
- Risk-managed approach: built to prioritize control of volatility and drawdowns.
Technology & Innovation
AZOR’s proprietary infrastructure processes real-time market signals, sentiment indicators, and technical conditions to generate systematic decisions with consistent execution logic.
Commitment to Discipline
We focus on a repeatable process — rigorous testing, controlled exposure, and transparent participation in U.S. markets — engineered for consistency and resilience.
