Recently, we released an updated v0.8 version of ArbitrageLab, our innovative platform that opens up a world of pairs-trading opportunities. Today, we’re excited to offer you a discount to celebrate this release and empower you to take your trading strategies to new heights.

For the entire month of July, we invite you to join us on our journey with an incredible 85% discount on ArbitrageLab subscriptions by using ARBLAB08RELEASE as the discount code at checkout. This discount will be applied for the lifetime of your subscription, allowing you access to ArbitrageLab’s cutting-edge features and capabilities at the discount price for as long as you maintain your subscription.

ArbitrageLab is not just another trading tool; it’s a comprehensive collection of algorithms derived from the best academic journals and graduate-level textbooks. Our focus is on the branch of statistical arbitrage known as pairs trading, and we have expanded our implementations to include the latest methods that trade a portfolio of n-assets (mean-reverting portfolios).

By leveraging the power of ArbitrageLab, you gain access to a range of advanced algorithms that have been rigorously tested and refined. These algorithms are designed to identify trading opportunities and exploit market inefficiencies, giving you a competitive edge in the financial markets. With our latest release, v0.8, we have further refined and enhanced our algorithms, ensuring that you have the most powerful tools at your disposal.

Again, to take advantage of the discount, simply use the code ARBLAB08RELEASE during the checkout process. This limited-time offer is our way of expressing gratitude for your support and providing you with an affordable opportunity to harness the true potential of ArbitrageLab.

Should you have any questions or require assistance, our team is ready to assist you. Feel free to reach out to us.

Thank you for being an integral part of our community. We’re excited to witness your trading endeavors flourish with ArbitrageLab v0.8.

To your success,
Hudson & Thames Team