Internship (Free VIP Pro Access)

Join our dynamic team as a Python Intern in our innovative pay-to-learn program. This internship offers a unique opportunity for hands-on experience, allowing you to sharpen your Python skills while working on real-world projects. As a valued member of our team, you'll receive personalized mentorship, gain practical insights into industry best practices, and contribute to meaningful projects that will enhance your professional portfolio. Embrace this exciting journey to elevate your Python proficiency and kickstart your career in a supportive and collaborative environment. 

Applicants are expected to get a score of 85 or higher on the Python Advanced quiz, have little to some experience in API and/or Django, and must turn in a .zip file (in the application) of at least 5 projects that show their competence.

After receiving approval, successful applicants are anticipated to commit 10-14 hours per week. This commitment involves undertaking instructed weekly tasks, acquiring new knowledge and concepts, and actively participating in discussions with fellow team members.

Internship (Free VIP Pro Access)

Embark on a rewarding journey as an MQL Intern through our innovative pay-to-learn initiative. This internship provides a unique opportunity to immerse yourself in the world of algorithmic trading, honing your skills in MQL while actively contributing to real-market projects. As a vital part of our team, you'll receive personalized guidance, delve into industry-proven strategies, and actively shape projects that will enrich your professional portfolio. Seize this exciting chance to elevate your expertise in MQL and launch your career in a collaborative and empowering environment. 

Applicants are expected to get a score of 85 or higher on the MQL Advanced quiz, have little to some experience coding algorithmic trading bots, and must turn in a .zip file (in the application) of at least 5 projects that show their competence.

After receiving approval, successful applicants are anticipated to commit 10-14 hours per week. This commitment involves undertaking instructed weekly tasks, acquiring new knowledge and concepts, and actively participating in discussions with fellow team members.