Transparency
Full disclosure of all signals, results, and performance metrics. No hidden wins or fake screenshots.
Our Mission: Democratize Trading Success
Since 2017, we've been empowering traders worldwide with AI-powered signals and transparent performance tracking
Who We Are
CryptoSignalHQ was founded by a team of Wall Street veterans, AI researchers, and professional traders who saw a critical gap in the market: retail traders lacked access to institutional-grade trading tools and insights.
We built our platform on three core principles: transparency, accuracy, and accessibility. Every signal we generate is backed by advanced AI algorithms that analyze over 10,000 data points per second, combined with human expert verification.
Today, we're proud to serve over 50,000 active traders across 150+ countries, maintaining an industry-leading 87.3% win rate and helping our community achieve consistent profitability.
Our Core Values
User-First
Every decision we make prioritizes our traders' success and capital protection.
Innovation
Constantly improving our AI algorithms and trading strategies to stay ahead of the market.
Community
Building a supportive ecosystem where traders learn, grow, and succeed together.
Our Journey
2017
Company Founded
Started with a vision to democratize algorithmic trading
2018
10,000 Users
Reached our first major milestone of active traders
2020
AI Integration
Launched proprietary AI-powered signal generation
2022
87% Win Rate
Achieved industry-leading performance metrics
2024
50,000+ Traders
Became the #1 trusted crypto signals platform
2025
Global Expansion
Expanding to 150+ countries with 24/7 support
Meet Our Leadership Team
Michael Chen
CEO & Co-Founder
Former Goldman Sachs quantitative trader with 15+ years in algorithmic trading
Sarah Williams
CTO & AI Lead
Ex-Google AI researcher specializing in machine learning and predictive analytics
David Rodriguez
Head of Trading
20+ years trading experience across crypto, forex, and futures markets
Emily Zhang
Head of Research
PhD in Financial Engineering, former hedge fund quantitative analyst