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Learning Track: Algorithmic Trading for Beginners

93 Hours
Take your first step to getting started with algorithmic trading and gaining essential skills required for different Quant trading roles. Learn the fundamentals of stock markets and how to retrieve financial market data and store in database. Create and backtest trading strategies such as day trading, event-driven, SARIMA, ARCH, GARCH, volatility and statistical arbitrage trading strategies. This bundle of courses is perfect for traders and quants who want to learn and use Python in trading.
Level
FOUNDATION to INTERMEDIATE
Authors
Multi Commodity Exchange
QuantInsti®
Quantpedia
Price Lifetime Access Limited Time Offer

₹27859 /-₹32775/-

Original Price: ₹136663

76% OFF

+ Additional 15% OFF

  • Live Trading
  • Learning Track
  • Prerequisites
  • Syllabus
  • About author
  • Testimonials
  • Faqs

Automated Trading for Beginners

Start algorithmic trading in live markets. Get job-ready in a short time.
Learn Python and use it to create trading strategies.
Use quantitative techniques to analyse historical market data and identify trading opportunities.
Strategy Paradigms: day trading, event-driven, ARIMA, ARCH, GARCH, volatility and statistical arbitrage trading strategies.
Backtest calendar anomalies strategies in equity, fixed income and volatility markets
Convert your trading ideas into backtesting models to run over multiple data sets, implement best risk management practices and analyse the results.
Develop skills to create databases based on data and query them for in-depth analysis.
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Skills Covered

learning track 1

Algorithmic Trading for Beginners

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Need help? Write to us at quantra@quantinsti.com or call us at +91 8450963428.
Ready to Master Algorithmic Trading?

Elevate your trading skills with our comprehensive 'All Courses Bundle.' With 50 expertly designed courses organized into 8 specialized learning tracks, you'll gain a complete A-to-Z understanding of algorithmic trading strategies and techniques.

Course Features

  • Community
    Community

    Faculty Support on Community

  • Interactive Coding Exercises
    Interactive Coding Exercises

    Interactive Coding Practice

  • Capstone Project
    Capstone Project

    Capstone Project using Real Market Data

  • Trade & Learn Together
    Trade & Learn Together

    Trade and Learn Together

  • Get Certified
    Get Certified

    Get Certified

Prerequisites

You might have never coded before or never created any trading strategy. The learning curve could be steep if you are a beginner in both these skills. However, you can practise regularly on the hands-on learning exercises given in the course and build the required skills gradually. As a prerequisite only need to know the basic terms and fundamental concepts of the stock market. To acquire this knowledge, you can do the free course on “Stock Market Basics” at Quantra, an ideal starting point for an algo trading beginner.

Syllabus

Getting Started with Algorithmic Trading!
Python for Trading: Basic
Getting Market Data: Stocks, Crypto, News & Fundamental
Day Trading Strategies for Beginners
Volatility Trading Strategies for Beginners
Backtesting Trading Strategies
Database Management for Trading: Basic
Event Driven Trading Strategies
Financial Time Series Analysis for Trading
Statistical Arbitrage Trading

about author

Multi Commodity Exchange
Multi Commodity Exchange
The Multi Commodity Exchange of India Limited (MCX), India’s first listed exchange, is a state-of-the-art, commodity derivatives exchange that facilitates online trading of commodity derivatives transactions, thereby providing a platform for price discovery and risk management. The Exchange, which started operations in November 2003, operates under the regulatory framework of Securities and Exchange Board of India (SEBI).
QuantInsti®
QuantInsti®
QuantInsti is the world's leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories. An initiative by founders of iRage, one of India’s top HFT firms, QuantInsti has been helping its users grow in this domain through its learning & financial applications based ecosystem for 10+ years.
Quantpedia
Quantpedia
Quantpedia is the encyclopedia/database of quantitative and algorithmic trading strategies. It helps users in processing financial academic research into a more user-friendly form to help anyone who seeks new quantitative trading strategy ideas.
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Why quantra®?

  • More in Less Time
    More in Less Time

    Gain more in less time

  • Expert Faculty
    Expert Faculty

    Get taught by practitioners

  • Self-paced
    Self-paced

    Learn at your own pace

  • Data & Strategy Models
    Data & Strategy Models

    Get data & strategy models to practice on your own

User Testimonials

Mehamood Pathan
Mehamood Pathan
Stress Engineer, Safran Group, Germany
I have been using Python for the first time, the way the material is draft is perfect for first-timers.
Nikhil Naik
Nikhil Naik
India

The Volatility trading strategies course has surely helped me monitor VIX in a better way. I really like the breakout strategy implementation shown using the Jupyter notebook referring to tradebook, event driven backtesting and trade analytics. I tried the coding exercises and I found them interesting. My overall learning experience with Quantra is great, which is why I have enrolled in multiple courses on the platform.

Edward Hasekamp
Edward Hasekamp
Software Security Specialist, Hasecon, Netherlands
A nice overview to obtain extra data, and a good addition to the existing courses.
Aljosa Aleksandrovic
Aljosa Aleksandrovic
Co - Founder, Arve Asset Management Company, Switzerland
It was very interesting and helpful!
Marco Veterani
Marco Veterani
Spain
Very effective and clear course about Star Arb trading strategies! This course is a good mixture of theory and practice, with a bunch of hands-on exercises to allow you to master the Python code of a Stat Arb trading system.
Carlos Aboytes
Carlos Aboytes
Mexico
Awesome, robust knowledge about Quant Trading.
Christos Gklinavos
Christos Gklinavos
Greece
An excellent introductory course that covers important concepts of python for trading. The structure is carefully designed so that it guides you step by step to more difficult subjects. The Jupiter notebooks and quizzes are very helpful and help you build on concepts previously taught. I have searched the web and I haven't found another course that is so straightforward, well organized and explanatory. And all of these for free! Well done!!
RK
Rahul Kumar Singh
India

Content of the course is good.

DD
Devesh Dembla
Trader, Proprietary Desk, India

My experience with the backtesting trading strategies course was very good. This course helped me implement more efficient backtests on my systems since I am able to write my more efficient codes by myself after having done the course.

AC
Alfredo Caballero
Spain

Excellent platform and content. Well integrated the theory with the practical Jupyter notebooks.

HG
Henrik Gjerning
CEO of Rude Consulting, Investments and Data Science, Denmark

Very comprehensive and easy-to-follow course.

AG
Alessandro Guido
Professional Trader, Wall Street Trading, United States

great course for hedging buy and hold strategies

FH
Fan Hong Hung
Trader, Hong Kong

Very detailed explanation of event-driven strategies and the rationales behind them.

CZ
Carter Zhang
Quantitative Risk Analyst at CME Group, United States

I was in need of some in-depth learning on Time series for my current work as a quant risk analyst. I came across time series very superficailly, during my studies in a Quantitative Finance program. But certainly needed a more systematic learning experience to solidify the knowledge and application of time series which I scratched the surface of while pursuing my program in Quantitative Finance. The Financial Time Series Analysis for Trading course really helped me get comfortable with the concept and applications of Time Series in Quantitative Finance. 

ML
Megan Lester
Student at University of Bristol, United Kingdom

One of the most useful concepts I learned was about modules and packages, particularly Numpy and Pandas. The course did a fantastic job of introducing these packages, how to import them, and the correct syntax to use.

ER
Eladio Rocha Vizcaino
Software engineer, Mexico

Definitely a very good course. It has a lot of information and numerous resources.

SG
Sougata Ghosh
India

Good first exposure to pairs trading.

PK
Peter Kriel
Taiwan

Excellent material and insight into methods to adapt to market dynamics

DK
Dylan Knights
Canada

Quantra courses provide a lot of depth in terms of Mathematics and programming. This really aligns with my learning goal which is to acquire as much information relevant to my own trading strategies as possible. So far, I have been able to pick up a lot of  useful stuff from the courses I have taken, and look forward to taking more.

SL
Sebastian Londono
Colombia

Well explained, recommended for volatility!!

ER
Eric Rabary
Masters in Economics, Madagascar

I can argue that Quantra courses are at another level for a really motivated learner in the domain of quantitative trading. After blending the complexity of the maths, power, and simplicity of Python, and, after all, good common sense, the black box becomes a toolbox for all the challenges you should face.

RM
Robert Montgomery
United States

Very detail, easy to follow.

DR
Debojit Roy
India

Another amazing course!

JR
Jason Rosendal
United States

Took a lot from this course to personally use

VR
Veera Raghunatha Reddy Naguru
United Kingdom

It was helpful knowing different metrics used and how to calculate them for backtesting a strategy.

HA
Hass Ayuthiyea
United States

I have learnt many new concepts for my trading journey. Thank you very much.

NG
Niloy Ghosh
Full-time Trader, India
I was very curious about Time series analysis for a while, and since I wasn’t well versed with the subject, I chose to enroll in this course. I must say, I wasn’t disappointed. The concepts are explained in a very simple and easy to understand format. It really helped me grasp the concepts faster and understand the theory behind them. Can’t wait to implement it practically.
SG
Swarup Gaikwad
Software Engineer at GSPANN Technologies, Ghana
Fantastic course! The videos and interactive exercises are very useful. The pace of the course is very smooth and doesn't make you feel overwhelmed.
PC
Philip Corey
United States
Great foundational course to get a background on algo trading. Good to start here before deciding if it is possible to dive into programming techniques.
SM
Shalini Meher
Singapore
Strategies are well explained and codes are beneficial. The course also gives you the reasons behind why the code has been created and how it will work, so the learner knows every step of the process.
PN
Paul Norg
United States
This was eye opening to say the least. To even see the vast amount of esoteric information that was available was daunting.
SD
Shubhrabaran Das
Dental surgeon and Trader, India
This course was very helpful. The optimization part of the strategy was explained very well! The strategies taught are very rare, and the bits and pieces of the content were explained beautifully. Overall, Quantra is doing a wonderful job at teaching!
VV
Vishnu Viswaroopan
India
A well consolidated Day Trading beginners course from Quantra. It covers all the basics on how to start day trading and discusses few trading strategies. I am surprised at how this course made me realise even how basic assumptions like PEAD can be turned into an effective strategy.
EH
Edward Hasenkamp
Software Security Specialist, Netherland
The course is perfectly set up, I really liked how the concepts were explained in the video units. It has given me the ability to analyze the movements of the markets. I loved the Jupyter notebook integration as it allows me to play around with the codes on the go. Earlier, when I started, I used to download the codes from the pdf’s and experiment with the codes on my system, but now with this integrated notebook, the whole process of learning practically has become smooth and hassle-free. Overall, the design and presentation of the courses have made ‘learning’ a fun experience.
AA
Alejandro Antonio Gutiérrez Mourente
Spanish Military, Spain
Although I have a rich background in programming, I still went ahead and pursued this course and I have to say, I wasn't disappointed. The concepts in this course were explained so well that my basics are now more clear than ever. This course will give you a perfect heads up on the application of software for trading in the Financial markets.
RR
Ramamurthy Rajagopalan
India

The difference I observed is that the course has interactive worksheets (Jupyter notebooks) on platform, and localised content.

RC
Ranga Chaitanya
India
This course is a complete package, everything that you need to learn about python is compiled in one place. The course design is quite user-friendly too. It also introduced me to Blueshift, through which I got a glimpse of scripting, backtesting the strategies, and placing orders in the markets.
VR
Vlad Ragulin
United Kingdom
The course is good and resourceful, I am still enjoying it. The look and feel of the course is quite positive. I like how the course is done in terms of design and structure. Blueshift, especially, is a pretty fine tool, it's cool to start out and once you get into it, you figure out stuff to implement strategies. All in all, I had a lot of fun, doing the course and I hope to become a better trader.
AS
Aviraj Singh Mehta
India
I was looking for courses online for the same, when I came across this free course ‘Getting Market Data: Stocks, Crypto, News & Fundamental’ on Quantra. I enrolled myself because I felt this course would serve my purpose. And I am glad it did. This course has helped me connect data from various data vendors. I did not face any difficulties understanding the codes because they were explained in the simplest way. Also, I had a small background in R language, so even that might have helped me understand the codes better. I really liked the platform, especially the Jupyter notebook which was seamless and easy to navigate. It allowed me to practice the codes on the go, without having to leave the platform.
 
RM
Rahul Madhogaria Madhogaria
Investment Advisor, CITI Bank, UAE
I found the course content to be amazing. It was better than my expectations. The interactive exercises are very good. There is a structure in place to help a non-coder learn python, which I feel is great. The integrated Jupyter notebook is also a very good feature, it made life very easy, as I could tweak the codes and see the changes on the go.
MV
Maxim Vasilevskiy
Russia
Because I wanted to improve my knowledge in the field of obtaining and processing financial data. In my opinion, the course helped me very well with this, it contains a lot of useful information, as well as useful links to third-party resources. In addition, I want to learn algorithmic trading and I think this course is a great start for learning in this area.
GW
Gideon Wanjiru
Kenya
The course is quite engaging. The approach of learning at your own pace is good and convenient. The code is well written and the explanation for each piece of code is very understandable. Looking forward to continuing upscaling the knowledge.
PC
Predrag Cukalovic
Serbia
Great course with concrete strategy implementation in Jupyter notebooks!
JP
Jim Penner
Australia

Really straightforward, and good practical lessons, and quizzes.

RW
Rene Wendt
Germany

I found the concepts well taught and explained. The provided Python code worked as expected.

DB
David Blanco
Spain

The course is well structured and organised and it has a good balance between theory and code.

HS
Hozefa Sadikot
India
This course is very good for people who want to begin learning algorithmic trading. It builds the foundations and gives the essential tools to work with various algorithms in the trading market.The content is perfect and is up to the mark with the latest standards and technologies used in the trading market.
AL
Arnaud Luu
United States

Good content for beginners. Can't wait to see more to really go live with real strategies!

YC
Yuheng Cai
Hong Kong

Introduced some fundamental concept in terms of volatility.

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