v1.0.4

Where Market Science Meets Behavioral Alpha

Quant Alpha Signals captures profit opportunities by identifying moments when market sentiment and real data do not match.

3000+

Listed companies analyzed

6+

Market universes
a dashboard to meet your requirements

Investment universe

Systematic trading research across major listed markets.

Nasdaq Universe

Nasdaq 100

Nasdaq composite Universe

Nasdaq Composite

Stock 600 Universe

Stoxx 600 Coming soon

S&P 500 Universe

S&P 500 Coming soon

Russell Universe

RussellComing soon

Nyse Universe

Nyse Coming soon

Our edge

Quant Alpha Signals is an innovative fintech R&D company specialized in quantitative market analysis and behavioral signal detection.

Our technology stack combines multi-layered data architecture, real-time market data analysis, proprietary processing systems and advanced sentiment feed integration.

Quant Alpha Signals' ambition is to offer its customers the best tools to generate higher returns during their investment process.

Technology at a glance

Advanced technological infrastructure powering systematic trading strategies.

Multi-layered data architecture

Real-time market data analysis with proprietary processing systems and advanced sentiment feed integration.

Cloud-based execution layer

A robust cloud infrastructure designed for scalable analytics, resilient monitoring and continuous strategy improvement.

Meet our Partners

A complementary team dedicated to quantitative research and product innovation.

Associe - technologie et infrastructure

Vincent Fourcaut - Founder - Quantitative Finance Expert

Veteran of European asset management. Renowned long-standing figure in the European financial sector. Specialist in regulated fund structuring, risk management and investor psychology.

Associe - recherche quantitative

Emmanuel Eschalier - Founder - Quant Research

Design of data and cloud infrastructure, industrialization of processing and continuous platform evolution. Leadership of signal models, market behavioral analysis and robustness of investment hypotheses.