Wat Street

🚀 We’re thrilled to introduce Wat Street’s Internal Dashboard Backtesting Demo! After months of development, our team has created a backtesting platform designed to be used in competitions, and we're releasing a demo version for others to try out. For those unfamiliar, a backtesting platform allows us to validate trading strategies against historical data—providing a practical edge by simulating real-market conditions. 📈 Currently, we’re showcasing a mean reversion strategy on Apple stock, and more model demos are in the works as we continue to grow this platform. Try it for yourself at demo.watstreet.com! If you’re interested in joining Wat Street or exploring collaboration opportunities, we’d love to connect. Visit our profile for more information on how you can get involved!

Exciting things are happening at Wat Street! 🚀 We're a student-led design team at the University of Waterloo dedicated to delivering a comprehensive education in financial investment strategies and algorithm development. At Wat Street, we foster a collaborative environment where students can master the fundamentals of quantitative analysis and put them into practice in real-world scenarios. We're currently looking for driven individuals to join us in a variety of roles—from machine learning and backend development to frontend development and marketing/product design! Whether you're interested in financial strategies, building cutting-edge applications, or driving creative initiatives, there's a place for you here. Apply now using the link below to become a part of our growing community! https://lnkd.in/g7xPGqEq

We are excited to announce the launch of WatStreet’s Reading Circle, an open community where we explore and discuss the latest research in machine learning and finance. This is a great opportunity for anyone interested in staying at the forefront of these fields, regardless of experience level. We welcome all curious minds to join us in thoughtful discussions and knowledge sharing. If you’re passionate about learning and exchanging insights, we’d love to have you with us. Join the group on our Discord: https://lnkd.in/ghaYXAAZ Looking forward to learning together! #WatStreet #MachineLearning #Finance #Research #Community

Apps are out for Spring 2024-onwards. We're setting up some cool stuff, interested in any of the following? - building interesting ML models and trading algos - optimizing back-end systems - making appealing front-end features Think you can bring some value? Apply on our site: https://lnkd.in/eQ9NU9yk or here: https://lnkd.in/eGaVjwUV Deadline: June 7 at 8:00 pm

Apps are out for Spring 2024-onwards. We're setting up some cool stuff, interested in any of the following? - building interesting ML models and trading algos - optimizing back-end systems - making appealing front-end features Think you can bring some value? Apply on our site: https://lnkd.in/eQ9NU9yk or here: https://lnkd.in/eGaVjwUV Deadline: June 7 at 8:00 pm

Hello LinkedIn community! Exciting news—our Team has open positions in Machine Learning, UI/UX, and Frontend roles. We're currently engaged in building applications and models for assessing and visualizing data across various markets, from stocks to crypto. If you're interested in quantitative finance and possess the necessary experience in any of these fields, feel free to apply using this link: https://lnkd.in/gNM55hGG The deadline for applications will be January 19th!