Becoming a Quant at the age of 70 | Efueyo's journey from Spain

1 min read

Efueyo might be a retired Mechanical Engineer but he's treating his retirement as a beginning of a new journey. Efueyo is one of those rare individuals who never stop learning and follow their curiosity to achieve their aim to learn and grow.

His latest journey to try and develop a systemic trading strategy led him to explore algorithmic trading with Quantra. Efueyo shares his experience with us.


Hello,

I am Efueyo, from Spain. I am a 71-year-old retiree who dedicates his time to learning and delving into this exciting world of computing and programming.

In my professional life, my speciality was mechanics, specializing in the analysis of breakdowns and lengthening of equipment life, activities that involve the treatment and analysis of many data. The tools available in my time for this were very limited. Retirement allows me to orient myself towards learning this science.

I set myself the objective of developing a Conservative Investment Strategy whose main objectives are to preserve the capital initially invested in the most unfavourable situation in the stock market and to overcome inflation by at least ‘X’ points.

Thanks to Quantra's courses, I have been making progress in Python. The course is very well structured, practical and easy to follow. It’s extremely beneficial for those who do not have a high level of Python-Jupyter knowledge. This is very useful to get into packages like Numpy, Pandas and matplotlib, etc.

Thank you for the opportunity you have given me, to help me get closer to my goal.


Thanks for sharing your story with us, Efueyo. It's truly an inspiration to see what one can achieve if one stays curious and follows their instincts. We're glad we could be a part of your learning journey.

Quantra courses are structured to help you progress from whatever level you're at. Whether you're a beginner or a professional Quant, there's a course on Quantra to help to level up your skills. Enroll now!


Disclaimer: All data and information provided in this article are for informational purposes only. QuantInsti® makes no representations as to the accuracy, completeness, currentness, suitability, or validity of any information in this article and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an as-is basis.

Quantra Course Catalogue