Thisher Engineer , Washington. What does a smart contract expert do? What is the admission process for EPAT? Machine Learning for Trading. You will also be tested on trends which goes deeper such as percentage retracements, regression lines and so on. Being certified does not mean that you will start making profits as a trader automatically.
Jun 07, · The CTSD program combines the mathematics involved in trading securities and derivatives with the kinds of programming skills taught at some of the more computational financial engineering programs, like C++ and MATLAB, with additional coverage of technologies such as databases, SQL, FIX, XML,.NET, sockets, multi-threading and real-time trading system development.
3. Certified Market Technician (CMT)
He takes up lectures on Quantitative Momentum Strategies inclusive of time series momentum, correlation coefficient, serial correlation and more.
Chan is a commodity pool operator and trading advisor. His primary focus has been on the development of statistical models and advanced computer algorithms to find patterns and trends in large quantities of data. He has applied his expertise in statistical pattern recognition to projects ranging from textual retrieval at IBM Research, mining customer relationship data at Morgan Stanley, and statistical arbitrage trading strategy research at Credit Suisse, Mapleridge Capital Management, and other hedge funds.
Chan has written three books: Quantitative Trading; Algorithmic Trading: Eric is a serial entrepreneur with degrees in Physics and Computer Science and experience in Machine Learning, Cloud Computing, and Python programming. Eric is the Chief Technology Officer at Quantiacs, an organisation driven towards providing free data, software, and educational materials to free-lance quants.
Sinclair is an industry expert on stock options, interest rate products, volatility products, index options and commodity options, both exchange-traded and OTC. He specializes in design, implementation and risk management of quantitative trading strategies. BSM and trees, Implied Volatility and more. Euan Sinclair is a Partner at Talton Capital Management, a volatility focused, model-driven asset manager seeking to generate uncorrelated, differentiated, absolute returns by investing in volatility products across asset classes.
Prior to that, he was the co-founder and CEO of FactorWave, Inc a quantitative stock, futures, and options analysis company. He is an options trader with twenty years of professional trading experience and has worked with various trading firms like Bluefin Trading, Medway Capital Management, Trading Solutions Ltd, and The Helios Group.
Sinclair has written two books: Option Trading and Volatility Trading. He is the member of the advisory board of the Journal of Investment Strategies, a publication of Risk Journals. The participants can learn from him how to manage a portfolio and option instruments. He leads the quantitative trading development at iRage along with the overall clientele business. He helps EPAT participants to learn implementing equity trading strategies using algorithms.
He is also a senior engineer for Huawei Technologies, leading the team to build execution monitoring systems using various languages including Python. Ishan is an expert on Statistical Arbitrage and Options.
Learn from him how to model data, the rules for trading, statistical parameters such as autocorrelation function and how to use statistics and machine learning to automate your trading strategies. He has a rich experience in financial markets spanning across various asset classes in different roles. He is a senior content developer in the Quantra team. Nitesh helps participants in understanding quantitative modelling intuitively. Given the expertise built over the last decade, he has been the go-to person to evaluate what is likely to work when it comes to trading strategies.
He is also a subject matter expert on Business Environment. He introduces the participants to the real life scenarios that they can expect when going live with automated trading. After a short stint at a proprietary trading desk as the lead trader, he co-founded iRage and as Business Lead he moved to Singapore to set up a trading business across the global exchanges. While a part of iRage, Nitesh co-founded QuantInsti.
After spending some time in a bank treasury followed by a proprietary trading desk, he co-founded iRage. After leading the business in India, he moved to Singapore to work towards trading business on exchanges across the globe. Nitesh is the Co-founder of QuantInsti and has been leading various initiatives within QuantInsti as its business head. He covers various aspects of volatility estimation, statistical parameter formulation, etc.
Nitin has also written articles for international journals, including the one depicting the development of Swamee-Aggarwal equation. He was also one of the key members of iRage Options Market Making team. Prodipta is a seasoned quant and currently leads the Fin-tech products and platforms development at QuantInsti as its Vice President.
Prodipta is an avid reader. Rajib leads the prop trading business for iRage as its CEO, focussing on strategy development, risk management, and internal processes.
He represented India in World Puzzle Championship thrice. Varun is an expert on Market Microstructure. One can get excellent knowledge points from him on Market Microstructure Basics and development of High-Frequency Trading Strategies and Trading mechanisms.
He takes the participants through various trading strategies like Momentum, Swing and Scalp and educates on how to formulate an understanding of the statistical theories and trading strategies. Prior to that, he has worked as the Algorithmic Trading Consultant for a New York based firm and as a successful commodities trader with Futures First.
His rich professional experience in finance and academia makes him a proficient instructor on market microstructure, programming in quantitative finance, and statistical techniques used in quantitative trading. His research interests are in quantitative trading strategies, Bayesian statistics, and behavioral finance.
He is also an aspiring actuary and has been the country India topper for the paper on Probability and Mathematical Statistics. He also covers Object Oriented Programming concepts in Python. Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading and computational finance. He has also given keynote speeches at technology conferences in the United States, Europe and Asia.
Director of the first online training program leading to a University Certificate in Python for Algorithmic Trading.
Organizes meetups, conferences and bootcamps about Python for quantitative finance in Frankfurt, London and New York. Each participant who is accepted in the course has a high level of intellectual curiosity, a keen interest in finance, and has strong analytical skills.
Prior to admission, a counselling session will be conducted that will focus on understanding the strengths and weaknesses of participants. We have four batches in a year. Duration of the programme is 6 months. The tentative programme start dates are:.
Online Delivery A focused learning experience consisting of practical sessions conducted through web-meetings and virtual learning environments. The Curriculum Who Can Benefit? Basics of Algorithmic Trading: Know and understand the terminology Excel: Basics of MS Excel, available functions and many examples to give you a good introduction to the basics Basics of Python: Installation, basic functions, interactive exercises, and Python Notebook Options: Terminology, options pricing basic, Greeks and simple option trading strategies Basic Statistics including Probability Distributions: Standard Normal Distribution; Related parameters like Z-score, confidence interval and their use, and Hypothesis Testing, Covariance, Correlation and Regression and their physical significance.
Statistics for Financial Markets. Statistics and probability concepts Bayesian and Frequentist methodologies , moments of data and Central Limit Theorem Applications of statistics: Advanced Statistics for Quant Strategies.
Data types, variables, Python in-built data structures, inbuilt functions, logical operators, and control structures Introduction to some key libraries NumPy, pandas, and matplotlib Python concepts for writing functions and implementing strategies Writing and backtesting trading strategies. Market Microstructure for Trading. Machine Learning for Trading. System Architecture of an automated trading system Infrastructure hardware, physical, network, etc. Concept, implementation and road-blocks Sensitivity analysis of options portfolio with risk management tools.
Concepts, data types, statistical functions, graphs, fetching data from online platforms Programming conceptualization and implementation, useful tips while working with big data sets Build a back testing model using QuantStrat on R. Write your own working strategy starting from ideation, literature survey, data analysis, strategy formulation, backtesting, implementation code Mentorship under a domain expert, practitioner Project topics include, but not limited to, Statistical Arbitrage, Dispersion Trading, Machine Learning based Trading Strategies, Skew Trading, Volatility Smile, Forward Volatility.
Why this Algo Trading Course? Access to a network of faculty and alumni, who are practitioners and researchers in Quantitative, Algorithmic and High Frequency Trading Reaching out to the industry members through our online communities, LinkedIn groups Assistance in placement and career growth in relevant roles Invitation to guest lectures which include new technological innovations, training to work on new platforms, advancement in the relevant field Access to the updated EPAT content.
The faculty members have been the driving force and the support from them has not been limited to the duration of the course. People, who are looking for a career break, post completing this course will know enough to venture, compete and succeed in this field.
QuantInsti's EPAT helped me with knowledge and skill sets required in the technology driven trading industry. Ltd, I was able to apply this knowledge to provide cutting edge services to our clients. I would recommend it to every trader investing in the market. Faculty is greatly committed at resolving queries.
Due to time difference of where I live, this course has an amazing facility of recording and viewing videos of the lecture, so I do not miss any lecture. Adding to this I can go back at any lecture any time and revisit its content. Classes are very interesting and provide a very good lay of the land. EPAT is one of its kind platform that grooms and equips you towards a successful algo trading based career. Before joining EPAT, I had to study quantitative analysis by myself with try-and-error manner and learning speed was so slow.
I could become fluent in R and Python through very practical program. Also, I could review statistics and derivatives. In addition, explanation about HFT was very informative. All in all, EPAT was wonderful learning opportunity for me. Academic Expertise Anil has mastered the art of back-testing strategies across various asset classes through his real-life market experience.
For those who understand, his Erdos number is 2. International Teaching Experience Dr. Weight training, Hiking, History reading. Cum Laude , Physics from Amherst College. Industry Experience Eric is the Chief Technology Officer at Quantiacs, an organisation driven towards providing free data, software, and educational materials to free-lance quants.
Industry Experience He leads the quantitative trading development at iRage along with the overall clientele business. Industry Experience He has a rich experience in financial markets spanning across various asset classes in different roles.
Academic Expertise Nitesh helps participants in understanding quantitative modelling intuitively. Industry Experience After a short stint at a proprietary trading desk as the lead trader, he co-founded iRage and as Business Lead he moved to Singapore to set up a trading business across the global exchanges.
Industry Experience Prodipta is a seasoned quant and currently leads the Fin-tech products and platforms development at QuantInsti as its Vice President. Industry Experience Rajib leads the prop trading business for iRage as its CEO, focussing on strategy development, risk management, and internal processes. Academic Expertise Varun is an expert on Market Microstructure. Academic Expertise Vivek is the go-to person to learn computational finance, time series econometrics, and Python.
Hilpisch Graduate in Business Administration with a Dr. Get on a call with a Counsellor. Wait for Application acceptance. Pay the fee and get started. What is the fee for EPAT?
The updated fees details are available here. Qualified applicants are provided with financial assistance and flexible payment plans. What financial assistance is available? Financial assistance provided to qualified applicants include but are not limited to the following: Merit based scholarship - QuantInsti offers scholarship to deserving candidates who score well in the test available here Student discounts - QuantInsti believes in investing in the future of tomorrow, the students of today.
We have a discounted fee for full-time students. Participants from Emerging Markets - Special consideration is given to participants from Emerging Markets so that the programme is more affordable.
Educational Loans - QuantInsti is partnered with financial institutes who provide education related loans to the Indian resident participants. Get in touch with our programme counselors here. What is EPAT scholarship test? It is an online test comprising of college level questions from relevant disciplines: Statistics, Financial Markets, Options, and Programming. For high scorers, merit based discount is applicable to their EPAT fees.
You can take the test here. What is the admission process for EPAT? It is a simple three step process: Submit you application form here. Wait for your application to get accepted. Before admission, we offer to facilitate a one-on-one counselling session that will focus on understanding the strengths and weaknesses of the participant.
Would I get a refund if I change my mind after enrolling? We provide an opportunity to clear all your doubts about the programme prior to enrollment.
Also, you get access to a dedicated team support even before your EPAT programme starts. Therefore, we follow a no refund policy. Yes, you can apply. Please note that while QuantInsti offers lifetime placement services to all EPAT alumni, it does not guarantee any placements.
QuantInsti offers student discounts to all full-time students, which can be availed by sharing the valid college ID proof and other required documents. Send us your details by filling the application form here and we will arrange a counselling call for you. This is a self-study, interactive module which helps you code, understand basics and prepare yourself for the classroom sessions which cover advance and complex concepts as well.
How is Blockchain different from traditional technologies? What is Ethereum with a brief Introduction? Understanding Ether along with its units. What is Gas in Ethereum and why is its significance. What is Ethereum Virtual Machine? Understanding the Fundamentals of Smart Contracts. What are Smart Contracts and how do they work? Certified Smart Contract Developer Exam. There will be an online training followed by a multiple choice exam of marks. If you fail, you can retake the exam after one day.
You can take the exam no more than 3 times. Implement your skills in creating Smart Contracts over Solidity. Build your own Blockchain enterprises with acquired knowledge.
What does a smart contract expert do?
Home Learn Amibroker: System Development Training Programme Are you frustrated with your trading results or do you lack confidence in your current trading strategy? How would you like to develop quantitative strategies that meet your trading objectives and fit with your personality and lifestyle? What are the Top 3 Trading Certifications for Day Trading? this course or certification program is more to do with technical analysis and the trading concepts, something which day traders will find it to be more interesting and closer to the topic. On a daily basis Al applies his deep skills in systems integration and design strategy to. Eliminate Emotion with the Official CAT ® Training Program Our CAT® Training Program is the only training course that makes you a Certified Algorithmic Trader. This unique combination of training in trading automation and systematization gives you the skills to trade with complete confidence and stay current in changing markets.