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Marcus Coleman
Marcus Coleman
Software Engineer at Windstream
QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT programme is a highly structured and hands-on learning experience and it's being updated frequently. The faculty and staff are extremely competent and available to address any concerns you may have. Upon completion of the EPAT programme, you will have the necessary tools to begin a career in algorithmic/quantitative trading.
Jonathan Mathew
Jonathan Mathew
Equity Sales at Macquarie
Marco Veterani
Marco Veterani
CIO / Partner at Cloud 8 Capital
The EPAT programme has really been a good experience for me: I've learned a lot about how financial markets work, how to code strategies in Excel, Python and R, got introduced to advanced statistical concepts like ARIMA and GARCH and how to apply Machine Learning algorithms into trading systems. The support team has been great in assisting my learning experience. It's also an excellent way to connect with other students and with the lecturers (that are all carefully selected and highly professional). Highly recommended!
José Carlos
José Carlos
Discretionary Trader
For me, it was really important to go for a course having exceptional faculty. QuantInsti had Dr Ernest P. Chan, Dr Euan Sinclair and other world-clas
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Nicolò Pirozzi
Nicolò Pirozzi
Fx Trader at NPcapital
Jacques Joubert
Jacques Joubert
CEO & Co-Founder at Hudson & Thames Quantitative Research
Elie Kawerk
Elie Kawerk
Data Scientist at Majid Al Futtaim
If you want to get a thorough overview of algorithmic trading with hands-on experience, I would highly recommend EPAT!
Koushik Das Podder
Koushik Das Podder
Self-Employed
Koushik Das Podder - #EPATian Success Story
Ankit Doshi
Ankit Doshi
Senior Manager, Data Science at Finaureus Technologies Pvt. Ltd.
EPAT is an exhaustive course on algorithmic trading, with good faculty and rigorous learning experience. The course is for beginners as well as experienced professionals. I already come from a trading background but the course helped take things to next level. Event-driven approach, Intro to Machine Learning, Complex event processing, Pairs Trading, Intro to IBPY module, Backtesting, and Live trading using Blueshift are some of the key features of the course. One of the key things I appreciate about the course is that few lectures are taken by Industry veterans/practitioners. Above all, the Placement committee is excellent.
Billy Davila
Billy Davila
Quant Trader
I recently completed the programme EPAT from QuantInsti, and it was a rich experience. I learned more here than I did on my university curriculum. Thi
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Wei Jie
Wei Jie
Quantitative Trader at Shanghai We Investment Management Co., Ltd
I find the EPAT programme to be great. Before taking this programme I had no experience with Quant-trading. I studied mathematics at university and worked as a private banker in China. I am very interested in Quant-trading, so I took this programme. And now, I can write a simple pair-trading strategy, use Monte-Carlo simulation to predict and gained the necessary AI knowledge for further self-learning. This programme is very useful for me. And the learning assistant is great too. He communicated with me every two weeks. And always answered my queries very soon.
Georgios Trakakis
Georgios Trakakis
Investment Risk/Quantitative Research at Local Pensions Partnership
The domain of Quant Finance is enormous and can become quite chaotic if you do not know where to start. EPAT offers unique modules that help you tackl
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