About Smart Whales

🎯 Mission

Replace discretionary trading with replicable rules. Our goal is to provide traders with systematic, researched strategies that can be tested, understood, and improved over time.

📅 Timeline

2004–2023: 19 years of research and live trading experience
Jan 2024: WhaleVibe v1.0 released (19 SPY strategies)
Feb 2024: MQL5 Smartwhales account live (+78% ROI, 104+ weeks)
May 2024: Fintokei integration (prop firm signals)
Dec 2024: FX research project launched (Thanksgiving & Santa Claus research)
Jan 2026: Security audit completed (WebAuthn implementation)

🛠️ Tech Stack

Backend

PHP 8.x, MySQL 8.0 – REST API for client portals

Strategy Engine

Python 3.12 – backtesting, grid optimization, out-of-sample validation

Orchestration

GitHub Actions – automated deployments, daily signal generation

Trading

MetaTrader 5 (MT5) – live strategy execution, MQL5 advisors

Security

WebAuthn, CSRF tokens – passwordless authentication, protected APIs

Data Sources

Yahoo Finance, Alpha Vantage, Twelve Data, Dukascopy – verified data feeds

🔍 Transparency & Proof

✅ Live Results: MQL5 Signals (99%+ uptime, real trading)
✅ Backtest Tables: 11+ years of data, grid optimization, Sharpe ratios
✅ Architecture Docs: Open-source strategy definitions
✅ Security Audit: WebAuthn implementation verified (Jan 2026)
✅ Client P&L Demos: Available by request (NDA)

👥 Team

Smart Whales s.r.o. is a focused team with clear direction (trading systems + research). No large apparatus, no marketing department, no sales calls. Our team combines:

20+ years of quantitative trading experience
Statistical correctness in backtesting methodology
Production systems that scale (API, monitoring, security)
Continuous research into new markets (FX, futures)

Martin Liebl

Founder & Trader

CTO @ Blunit Finance | Founder & chair of the board @ NFDL | Quantitative trader and builder of open trading systems with 20+ years of experience in financial markets. Creator of the WhaleVibe framework and author of Thanksgiving Alpha and Santa Claus Rally research projects.

Focus on production systems, backtesting, and statistical correctness. Combining quantitative models with expert inputs for robust trading strategies. Musician @ Druhej Plán.

GitHub | LinkedIn

Smart Whales s.r.o.

Company ID: 07729979
Registration Number: C 305510 at Municipal Court in Prague
Registration Date: December 14, 2018

The company focuses on systematic trading in financial markets, development of trading systems, and quantitative research. The WhaleVibe framework provides automated signals for SPY and FX markets with emphasis on reliability and statistical robustness.

Contact: martin@smartwhales.cz