Quantpedia Days 2026 Bring Again 1+1 Special Offer

Hello all,

Welcome to Quantpedia Days 2026 — our annual celebration of research, collaboration, and innovation in quantitative finance.

At Quantpedia, we believe that the relentless pursuit of knowledge and ingenuity is what drives progress in our industry. It is also the reason why Quantpedia exists — to empower traders, researchers, analysts, and portfolio managers with better tools, deeper insights, and high-quality strategy research.

Since 2024, together with our partners, we have supported this mission through the annual Quantpedia Awards Competition, where creativity meets rigorous quantitative work. This year, we have already announced the Quantpedia Awards 2026 winners, highlighting outstanding contributions from the quant research community.

And now, as a follow-up to this celebration, we are bringing back our special Quantpedia Days 1+1 Offer.

We know that the best ideas often emerge in small teams — among people who research, test, challenge, and improve each other’s thinking. To support this spirit of collaboration, from May 28th until June 5th, 2026, every new subscription or re-subscription to 3-, 12-, or 36-month Quantpedia Prime, Premium, or Pro plan, comes with a free second license for your teammate, colleague, or fellow quant. After subscribing, simply contact us and ask us to activate the second account for the person you would like to share it with.

Best regards,

Radovan Vojtko
CEO, Quantpedia


Are you looking for more strategies to read about? Sign up for our newsletter or visit our Blog or Screener.

Do you want to learn more about Quantpedia Premium service? Check how Quantpedia works, our mission and Premium pricing offer.

Do you want to learn more about Quantpedia Pro service? Check its description, watch videos, review reporting capabilities and visit our pricing offer.

Do you want algorithmic access to the full Quantpedia database via the API? Subscribe to Quantpedia Pro, ask for an API key, and explore the in/out-of-sample statistics, source academic papers, and code snippets — ideal for quantitative research, systematic trading workflows, and AI model training.

Are you looking for historical data or backtesting platforms? Check our list of Algo Trading Discounts.


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