Online Algorithmic Trading Tutors
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Dan
3796 Hours Taught
Finance, Statistics and Econometrics tutor with a Maste...

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Our Top Algorithmic Trading Tutors

Dan
3796 Hours Taught

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Finance, Statistics and Econometrics tutor with a Master’s in Finance from Imperial College London
Dan has been teaching for more than a decade. He has a Bachelor’s degree in Physics and a Master’s in Finance from Imperial College London and has a wide range of specialisms, including Statistics, STATA, Finance, Mathematics, and Econometrics. In addition to being an expert in his subjects, Dan helps students with applications for top UK universities, including LSE, Durham, Bristol, UCL and Warwick, with many securing places at their first choice. Thanks to his commitment to providing excellent online tutoring, Dan was awarded Online Tutor of the Year by The Profs in 2019.
Attended:
Imperial College of Science, Technology and Medicine

Dr Amar
2431 Hours Taught

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Economics, Finance and CFA tutor with degrees from Princeton and Stanford University
Dr Amar has been teaching and tutoring for more than 20 years. He studied Economics at Princeton University before completing his PhD in Economics at Stanford University, and is a CFA Charterholder. Dr Amar has a background in Consulting, working for McKinsey & Company and BlackRock, as well as academia, serving as a lecturer for Intermediate Microeconomic Theory and Mathematics for Economists at Stanford University. In his role as a tutor, Dr Amar has successfully supported students with Economics and Finance modules at undergraduate and postgraduate-level, as well as working with professionals in relevant industries to help them develop their skills and qualifications, including the CFA.
Attended:
Stanford University
Princeton University

Dr Nikhil
1754 Hours Taught

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Online

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Highly experienced Quantitative Finance and Econometrics tutor with a PhD in Financial Econometrics from Imperial College London
Dr Nikhil is a professional consultant and tutor with more than 8 years’ experience working with The Profs. He has two Master’s degrees in Economics and Finance from the University of Cambridge and Imperial College London respectively, as well as a PhD in Financial Econometrics from Imperial. Dr Nikhil has supported professionals and students in a range of quantitative subject areas, including Programming (C++, Java, Python, R, Matlab and SQL), Algorithmic Trading (MQL4, JForex), Data Science, Artificial Intelligence, Econometrics, Statistics, and Mathematics for Economics and Finance.
Attended:
University of Cambridge
Imperial College of Science, Technology and Medicine

Daniel
1400 Hours Taught

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Business School Course-Leader and Strategist With a Practitioner Background in Investment Banking. Winner of Tutor of The Year, With Over 1,300 Hours of Profs Teaching Experience So Far.
After gaining a First Class BSc in Banking & International Finance at City University of London Cass Business School, Dan took an M.Phil in Finance at the University of Cambridge (with Distinction). He was awarded a place on the PhD programme. However, instead he opted for a career in investment banking. He spent a considerable part of his career as a financial analyst at UBS, for a large part in the TMT sector, where he was top-rated analyst, and thereafter as a top-rated cross-industry analyst, covering special situations and corporate finance. He was an active member of the Education Committee within UBS research. I also spent 18 months in UBS' Valuation & Accounting Group, a team with considerable client education responsibilities. Prior to this, he was a corporate finance analyst in investment banking at UBS and Morgan Stanley. He began tutoring with The Profs in late 2016 and has successfully taught and tutored undergrads, postgrads and professionals with a wide range of abilities and requirements, across a range of finance and business-related subjects. In 2018, he was The Profs' Tutor of the Year, having been commended the previous year.
Attended:
City University
University of Cambridge
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Frequently Asked Questions
Excel in your field or ace an interview with the help of our top tutors.
Algorithmic Trading is a hot new field integrating many different disciplines (Programming, Machine Learning, Statistics, Mathematics, Finance, Econometrics etc.). Everyone can learn to trade according to their abilities and personality, and everyone can make use of programs to systematise and speed up their trading. Even if they want to trade manually, they may still want software which scans all markets for potential trading setups.
If you are new to trading, our experienced quantitative traders will help you to understand how to execute and risk-manage trades as well as determine the correct level of technology and automation for your trading style. We can also develop automated trading software for your platform or broker.
If you are an experienced trader but want to learn or develop a new technique e.g. Co-integration for Pairs Trading, our team can also explain more about the Statistics, Machine Learning or Econometrics underlying the technique and build an appropriate software solution for you.
Popular Algorithmic Trading Help Requests
- Algorithmic Trading
- Systematic Trading
- Automated, Semi-Automated, Semi-Manual
- Expert Advisor
- Indicator
- Script, MT4, JForex etc.
- Broker
- Statistics
- Machine Learning
- Artificial Intelligence
- Statistical Arbitrage
- Fundamental Analysis
- Risk Management