Home
Videos uploaded by user “QuantInsti Quantitative Learning”
How to start Algorithmic Trading?
 
01:55
This video covers the concept of Algorithmic trading along with the things that you'll require to start your own Algorithmic trading. Quantra is an online education portal that specializes in Algorithmic and Quantitative trading. Quantra offers various self-paced and interactive courses that are enabled with latest AI techniques for an easy and efficient learning experience. Find more info on - https://quantra.quantinsti.com/ Like us on Facebook: https://www.facebook.com/goquantra/ Follow us on Twitter: https://twitter.com/GoQuantra Follow us on LinkedIn: https://www.linkedin.com/company/13289661/
Introduction to Algo Trading at Quantra
 
02:17
Learn all you need to know to get started in the field of algorithmic trading including strategy paradigms, trading platforms and languages and setting up you own algo trading desk. Joint certification offered by QuantInsti and MCX. To take this course visit https://quantra.quantinsti.com/courseDetails/26/Getting-Started-with-Algorithmic-Trading Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Can we use Mixture Models to Predict Market Bottoms? by Brian Christopher - 25th April 2017
 
52:10
Date and Time: Tuesday, April 25th, 2017 8:00 PM IST | 09:30 AM CST | 8:30 AM MST This session explains and illustrated the use of Mixture Models with a sample strategy in Python. The webinar covers: - Problem with Traditional Time Series Analysis - Traditional issues with Asset Return Prediction - Are Mixture models the solution? - What are mixture models and how do they work? - Can Gaussian Mixture Models (GMMs) model non-stationary data sets? - Can Gaussian Mixture Models (GMMs) approximate non-linear data distributions? - Designing and evaluating a trading strategy to test the application of GMMs - Further areas and resources to explore in GMMs Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Trading with Machine Learning using Regression at Quantra
 
01:57
This course will help you in understanding the basics of Machine Learning and give you an opportunity to code an algorithm based on the concept of linear regression. You will also learn what Hyper-parameters are and how to use them. In this course, you will learn the mathematical concepts behind regression function, such as the gradient descent and cost function optimization. Diving deeper, you will get a thorough overview of the Bias and Variance problems faced by machine learning algorithms. Finally, you will be coding a trading strategy using the predictions made by the algorithm. This is a certification course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute focused on preparing financial market professionals for the contemporary field of Algorithmic and High-Frequency Trading. For more details, visit the course at https://quantra.quantinsti.com/courseDetails/43/Trading-with-Machine-Learning-Regression
Basics of Mean Reversion Strategies by Dr. Ernest P Chan
 
01:04:17
Thursday 2nd November 2017 8:30 PM IST | 11:00 AM EST | 11:00 PM SGT Mean Reversion strategy is a major component of technical acumen for trading. Prices and returns eventually move back to their mean or average stance, this concept forms the basis of many successful reversion strategies. And we at Quantra are proud to present our first webinar on ‘Basics of Mean Reversion Strategies’ in association with Dr. Ernest Chan. The webinar covers: - Introduction to Mean Reversion - Stationarity of Time Series - Testing for Stationarity: ADF Test - Cointegration vs. Correlation - Mean Reversion Strategies Learn to implement 3 detailed Mean Reversion Strategies in Python in a course developed by Dr. Ernest Chan & Quantra: http://ow.ly/SQIi30gkvPr Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Need for Learning Algorithmic Trading, Gaurav Raizada - Director, QuantInsti
 
01:41
The above interview was held at Finbridge Expo 2015 - The Financial Services and Technologies Exhibition, was held on 14-15th March 2015 at Bombay Exhibition Centre in Mumbai. QuantInsti was invited to be its Knowledge Partner. The experts from QuantInsti were invited to share experiences and knowledge at the Automated Trading’ conference. QuantInsti conducted workshops on various topics under algorithmic and high frequency trading an audience consisting of retail investors, traders, brokers, sub-brokers, finance entrepreneurs and evangelists. These industry professionals were able to gather expert commentary on this emerging trading trend of “Algorithmic Trading”. In the video you can see Mr. Gaurav Raizada, Director and Co-Founder of QuantInsti.. Connect with us: www.quantinsti.com http://facebook.com/quantinsti http://twitter.com/quantinsti QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
How QuantInsti Helps with Job Placements?
 
01:53
QuantInsti's dedicated placement cell assists EPAT students to explore and secure quant jobs, high frequency trading jobs, and algorithmic trading jobs with the top quant and algo trading firms across the globe. Feel free to ask for assistance, fill up form at www.quantinsti.com/placement-cell/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
What is Quantra Blueshift?
 
01:06
Quantra Blueshift is a backtesting platform for traders and investors. With Quantra Blueshift, you can - Code your strategies in Python with minimal efforts Readymade code for numerous technical indicators to make strategy development a breeze Backtest your strategies with inbuilt market data State-of-the-art visual dashboard to better understand your strategy outcomes So head on over to the link below and get an early access! https://quantra-blueshift.quantinsti.com/
Machine Learning For Traders: Importing Python Libraries
 
03:25
In the previous video of this series (https://youtu.be/kQc3TVaO2J4), we learnt a few terminologies of machine learning. In this video, we will discuss python libraries which are needed while devising an algorithmic trading strategy. We will also look at the python code used for importing the libraries. If you want to learn more about python, enrol for the course at the following link: https://quantra.quantinsti.com/course/python-trading-basic And yes, it is FREE!! Refer to this blog if you want to read more on python: https://www.quantinsti.com/blog/getting-started-python-trading QuantInsti® is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of algorithmic and quantitative trading. EPAT™ (Executive Programme in Algorithmic Trading) by QuantInsti is Asia’s first algorithmic trading education program. This comprehensive course exposes its participants to various strategy paradigms and enables them to build an algorithmic trading system. Quantra® is an e-learning portal by QuantInsti that specializes in short self-paced courses on algorithmic and quantitative trading. Quantra offers an interactive environment which supports ‘learning by doing’ through guided coding exercises, videos and presentations.
Machine Learning For Traders: An Introduction
 
04:42
In this short video, we will go through the following points: - What is Machine Learning? - The difference between a regular and a machine learning algorithm - Examples of Machine Learning (ML) algorithms in the real world. (Did you know Facebook uses ML algorithms to match different pictures of the same person and identify them) - Industries using machine learning - Implementation and usage of machine learning in trading - Advantages of a trader using machine learning over a regular trader The full course is available on the following link: https://quantra.quantinsti.com/course/introduction-to-machine-learning-for-trading And guess what, it is FREE. QuantInsti® is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of algorithmic and quantitative trading. EPAT™ (Executive Programme in Algorithmic Trading) by QuantInsti is Asia’s first algorithmic trading education program. This comprehensive course exposes its participants to various strategy paradigms and enables them to build an algorithmic trading system. Quantra® is an e-learning portal by QuantInsti that specializes in short self-paced courses on algorithmic and quantitative trading. Quantra offers an interactive environment which supports ‘learning by doing’ through guided coding exercises, videos and presentations.
Amol Chavan - #EPATian Success Story
 
02:48
Amol Chavan, ML Engineer at HDFC Life, tells us how he was able to augment his engineering skills and enter the world of financial trading with the help of EPAT. Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti QuantInsti® is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of algorithmic and quantitative trading. EPAT™ (Executive Programme in Algorithmic Trading) by QuantInsti is Asia’s first algorithmic trading education program. This comprehensive course exposes its participants to various strategy paradigms and enables them to build an algorithmic trading system. Quantra® is an e-learning portal by QuantInsti that specializes in short self-paced courses on algorithmic and quantitative trading. Quantra offers an interactive environment which supports ‘learning by doing’ through guided coding exercises, videos and presentations.
Leveraging Artificial Intelligence to Build Algorithmic Trading Strategies
 
01:11:21
Our guest speaker, Mr. Tad Slaff, CEO of Inovance had covered the following content in a 45-mins long presentation: 1. Strategy Development Applications - Indicator Selection - Pattern Recognition Algorithms - Association Rule Learning 2. Building a live strategy with TRAIDE It was a well-received webinar with attendees learning how to include machine learning algorithms in a live trading strategy. You can view webinar presentation slides at http://www.slideshare.net/QuantInsti/leveraging-artificial-intelligence-to-build-algorithmic-trading-strategies Additional Resources for Machine Learning: - http://www.quantinsti.com/blog/free-resources-learn-machine-learning-trading/ - https://www.youtube.com/watch?v=EXtyBHTplCs Finally, check out the QuantInsti’s Executive Program in Algorithmic Trading at www.quantinsti.com/courses/epat. You will find the course covers comprehensive trading in Algorithmic Trading, taught by some of the experts in this field. On our Youtube channel and blogs, get strategy ideas and downloadable models to get started trading immediately! If you would like more information about QuantInsti’s offerings, please write to us at [email protected] Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Automated Trading with Python - Webinar by Dr. Yves J. Hilpisch
 
54:44
The video is a recording of the webinar "Automated Trading with Python" which was conducted on 10th February, 2016. The webinar aimed at introducing audience to Python as very well suited for automated financial trading — especially for low- and mid-frequency strategies. This Webinar illustrates how easy it is to implement typical steps of an automated trading approach: -Historical data scraping -Backtesting of trading strategies -Working with streaming data -Automated trading in real-time All examples shown are based on the platform and API of http://oanda.com. Background information about Python and the libraries used can be found in the O’Reilly book Hilpisch, Yves (2014): “Python for Finance – Analyze Big Financial Data”. QuantInsti invited Python expert Dr. Yves J. Hilpisch who is founder and managing partner of The Python Quants GmbH, Germany, as well as co-founder of The Python Quants LLC., New York City. As a graduate in Business Administration with a Dr.rer.pol. in Mathematical Finance, he lectures on Computational Finance at the CQF Program. QuantInsti's (http://www.quantinsti.com) flagship offering is the 'Executive Programme in Algorithmic Trading (EPAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class. Please feel free to contact us at (+91) 22 61691400 or (+91) 9920448877 or you can even write us at [email protected], for any queries you might have. Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Classification of Quantitative Trading Strategies by Radovan Vojtko - 11th July 2017
 
59:51
Tuesday, 11th July 2017 7:00 PM IST | 9:30 AM EST | 9:30 PM SGT There exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world. The webinar covers: - Overview of research in a field of quantitative trading - Taxonomy of quantitative trading strategies - Where to look for unique alpha - Examples of lesser-known trading strategies - Common issues in quant research Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Machine Learning For Traders: Technical Indicators - Part 1
 
03:56
In the previous video of this series (https://youtu.be/0IWLfTomLLg) we learnt about the different types of classifier algorithms. In this video, we will discuss the following Technical Indicators: - Relative Strength Index (RSI) - Definition - Formula - Use in trading - Simple Moving Average (SMA) - Definition - Formula - Use in trading - Correlation Coefficient - Definition - Formula - Use in trading f you want to master the whole course: Trading With Machine Learning: Classification and SVM. Head on over to the following link: https://quantra.quantinsti.com/course/trading-machine-learning-classification-svm If you want to learn more about machine learning for free, check out the following link: https://quantra.quantinsti.com/course/introduction-to-machine-learning-for-trading QuantInsti® is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of algorithmic and quantitative trading. EPAT™ (Executive Programme in Algorithmic Trading) by QuantInsti is Asia’s first algorithmic trading education program. This comprehensive course exposes its participants to various strategy paradigms and enables them to build an algorithmic trading system. Quantra® is an e-learning portal by QuantInsti that specializes in short self-paced courses on algorithmic and quantitative trading. Quantra offers an interactive environment which supports ‘learning by doing’ through guided coding exercises, videos and presentations.
Trading with Interactive Brokers using Python by Dr. Hui Liu - September 28, 2016
 
52:23
Dr. Hui Liu speaks about implementing algorithmic trading strategies in live markets using Python in this webinar conducted by QuantInsti, which saw participation by 1000+ candidates. If you want to know more about using Python for algorithmic trading and quantitative finance, then register with us on http://www.quantinsti.com/epat/ and get a free consultation from our counselors. About the Webinar: This webinar is perfect for beginners and professionals in the world of Automated trading with Python. The speaker begins with brief overview about popular and existing web-based algorithmic trading platforms. The focus of the session is on applicability of IBridgePy, an open-sourced software authored by Dr. Liu, that is used to connect to Interactive Brokers C++ API for execution of python codes in live markets. About the Speaker: Dr. Hui Liu is the renowned author or IbridgePy and the Founder of Running Rivers Investment LLC. About QuantInsti: QuantInsti is Asia’s Premier Algorithmic Trading Research and Training Institute focused on preparing financial market professionals. QuantInsti institute developed the curriculum for the Asia’s first Executive Programme in Algorithmic Trading (EPAT) in 2009. As an initiative by financial markets professionals with stellar academic and professional credentials, the program aims to fulfil the pressing demands for highly specialized skill sets of a potentially lucrative domain of Algorithmic Trading.
Machine Learning For Traders - An Introduction To Classification
 
06:50
In the previous video of this series (https://youtu.be/oG4ks-9zYn8) we learnt how to import Python libraries. In this video, we will discuss the following points: - Introduction to Classification - Application in various fields such as: - Medical Diagnosis - Fraud detection - Handwriting recognition - Customer segmentation - Risk assessment - An example of a Classification used by E-Commerce websites - It is not restricted to text and numbers, even images can be classified. - Supervised classifier algorithms - The classifier algorithms can be chosen, depending on - Size of training data - Independence of features set - System speed The classifier algorithms covered are: - K-Nearest Neighbours Algorithm (KNN) - Random Forests Using Decision Trees - Artificial Neural Networks (ANN) - Naive Bayes Classification If you want to master the whole course: Trading With Machine Learning: Classification and SVM. Head on over to the following link: https://quantra.quantinsti.com/course/trading-machine-learning-classification-svm If you want to learn more about machine learning for free, check out the following link: https://quantra.quantinsti.com/course/introduction-to-machine-learning-for-trading QuantInsti® is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of algorithmic and quantitative trading. EPAT™ (Executive Programme in Algorithmic Trading) by QuantInsti is Asia’s first algorithmic trading education program. This comprehensive course exposes its participants to various strategy paradigms and enables them to build an algorithmic trading system. Quantra® is an e-learning portal by QuantInsti that specializes in short self-paced courses on algorithmic and quantitative trading. Quantra offers an interactive environment which supports ‘learning by doing’ through guided coding exercises, videos and presentations.
Kunal Dave - QuantInsti Alumni Testimonial
 
02:49
Kunal Dave - QuantInsti Alumni Testimonial QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
High-Frequency Traders Vs. Manual Day Traders #AlgoTradingAMA
 
03:46
Where Machines Score: Take benefit from the arbitrage opportunities or market inefficiencies since they can send thousands of orders in a second. Where Humans Score: A trader who does his homework, researches and analyses data has an edge over the machines. Who Will Stay? Although trading today is through algorithms and composes major trading volume, it is not reducing. In the future, the competition would heat up and lead to the survival of the fittest. What is the Threshold? There isn’t any. Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Why you should do Algorithmic Trading? https://www.quantinsti.com/blog/why-you-should-be-doing-algorithmic-trading/ Impact of HFT on Market https://www.quantinsti.com/blog/how-high-frequency-trading-impacts-market-quality/ Acceptance of HFT in Markets https://www.quantinsti.com/blog/rise-of-hft-in-emerging-markets/
About Algorithmic Trading - Shaurya Chandra, Director - QuantInsti
 
04:51
The above interview was held at Finbridge Expo 2015 - The Financial Services and Technologies Exhibition, was held on 14-15th March 2015 at Bombay Exhibition Centre in Mumbai. Mr. Shaurya Chandra, Co-Founder of QuantInsti, explains Algorithmic Trading in simplest of words during a Financial Services and Technology Exhibition Event in Mumbai, India. QuantInsti was invited to be its Knowledge Partner. The experts from QuantInsti were invited to share experiences and knowledge at the Automated Trading’ conference. QuantInsti conducted workshops on various topics under algorithmic and high frequency trading an audience consisting of retail investors, traders, brokers, sub-brokers, finance entrepreneurs and evangelists. These industry professionals were able to gather expert commentary on this emerging trading trend of “Algorithmic Trading”. Connect with us: www.quantinsti.com http://facebook.com/quantinsti http://twitter.com/quantinsti QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
Sridhar - QuantInsti Alumni Testimonial
 
02:23
Sridhar - QuantInsti Alumni Testimonial Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Ask Me Anything on Algorithmic Trading by Nitesh Khandelwal  - December 5. 2017
 
01:36:21
Thursday 5th December 2017 7:30 PM IST | 9:00 AM ET | 10:00 PM SGT Ask Me Anything on Algorithmic Trading by Nitesh Khandelwal 75% of global trades are executed via algorithms. Ever wondered, how you can benefit from the algorithms? We, at QuantInsti®, bring you this exclusive AMA session with our top boss. Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Introduction to Machine Learning for Quantitative Finance by Eric Hamer - 15th June 2017
 
50:31
Thursday, 15th June 2017 8:30 PM IST | 8:00 AM PST | 11:00 AM EST This exciting webinar on Machine Learning will take you through the basics of machine learning, it will cover the cool features of the Quantiacs toolkit, and illustrate how to create and test machine learning strategies using Quantiacs. The webinar covers: - An Overview of Machine Learning - The Machine Learning Process - Features of Quantiacs toolkit - Applying Machine Learning to Futures Data Using Quantiacs - Discussing Results - Machine Learning Tips and Pitfalls Github Resources: - Sample Python trading strategies - https://github.com/Quantiacs/quantiacs-python - Source code (simpleKeras.py file) - https://github.com/Quantiacs/quantiacs-python/tree/master/sampleSystems Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Implied Volatility From Theory to Practice by Arnav Sheth - 7 March, 2017
 
50:42
Date and Time: Tuesday, March 7, 2017 (9:30 PM IST | 8:00 AM PST) Volatility is a cornerstone concept in options trading, and all traders have a theory of how to trade on it, however, not everyone is clear about what it is exactly. The webinar covers: - Introduction to different kinds of volatility - The theory behind implied volatility (IV) - How to use Implied Volatility - A few of the numerous trading strategies that exploit various characteristics of IV - Available online resources i.e. academic and practitioner research - Various CBOE indexes to help you get started Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
What are the hardware requirements for algorithmic trading? #AlgoTradingAMA
 
02:13
Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Setting-Up an Algo Trading Desk https://www.quantinsti.com/blog/setting-up-an-algo-trading-desk/ How Trading Systems Function https://www.quantinsti.com/blog/trading-systems-architecture/ Hardware & Networking of Automated Systems https://www.quantinsti.com/blog/hardware-networking-of-automated-systems/
Is C++ used for Algo Trading? #AlgoTradingAMA
 
01:46
Yes, C++ is the most used programming language on the high-frequency (low-latency) trading side as it is much faster than R, MATLAB or Python. Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: An Example of a Trading Strategy Coded in C++ https://www.quantinsti.com/blog/an-example-of-a-trading-strategy-coded-in-c/ Overcome the Fear of Programming https://www.quantinsti.com/blog/overcome-fear-programming/ What Makes Python Most Preferred Language For Algorithmic Traders https://www.quantinsti.com/blog/what-makes-python-most-preferred-language-for-algorithmic-traders/
QuantInsti's Success Story - Yuvraj Thakker
 
04:36
Yuvraj Thakker is the Managing Director of BP Wealth Management Private Limited. BP Wealth Management provides brokerage services , was founded in 1987 and is based in Mumbai, India. After completing his graduation and masters in Finance from the Bentley University in Massachusetts, USA, Yuvraj returned back in 2011 to join his father’s brokerage services company in Mumbai , India. Yuvraj recognized the rising trends of Algorithmic Trading in Asia and realized the need to adapt to the changing market patterns. He joined QuantInsti’s Executive Program in Algorithmic Trading in 2012 with an aim to automate the operations in his company and reap the benefit from technological innovations. It was after two years that we met Yuvraj during the Financial Services and Technological Expo in March, 2015 in which he was a panel speaker on Automated Trading Conference along with QuantInsti’s co-founder and Faculty Mr. Gaurav Raizada. We happened to have a brief chat with him about his thoughts on Algorithmic Trading and the course he did with us. More about our participation at FINBRIDGE 2015 - http://www.quantinsti.com/blog/events/finbridge-2015-indias-first-financial-services-technologies-exhibition/ QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/ Conntect with us: http://facebook.com/quantinsti http://twitter.com/quantinsti http://linkedin.com/company/quantinsti.com
Momentum Based Strategies for Low and High Frequency Trading - QuantInsti Webinar
 
54:06
On 3rd December 2015, QuantInsti held a comprehensive webinar session on Momentum Trading Strategies. Mr. Nitesh Khandelwal, discusses momentum trading in Low and High frequency trading. This webinar focused on the various aspects of Momentum Trading Strategies for both Conventional/Low Frequency as well as High Frequency (HFT). Some popular strategies in momentum based trading were also dug deeper into to select niche momentum trading strategies. The webinar aimed to evaluate how HFT momentum strategies differ from conventional momentum strategies both from logic and deployment perspective. Following points were discussed in detail: Popular Momentum Trading Strategies Momentum Trading in HFT Risks in Momentum Trading Sample Model Download Model - http://www.quantinsti.com/blog/momentum-based-strategies-for-low-and-high-frequency-trading-excel-model/ QuantInsti's (http://www.quantinsti.com) flagship offering is the 'Executive Programme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class. Download Slides - http://www.quantinsti.com/blog/momentum-based-strategies-for-low-and-high-frequency-trading-excel-model/ You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 or Toll Free: 1800-266-5401 for any queries you might have. QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
What are the career opportunities in Algo trading? How can EPAT help? #AlgoTradingAMA
 
02:44
There are many profiles revolving around back-office, front-office, trading, analytics, development, risk management, network management etc. EPAT by QuantInsti has a dedicated career development cell that helps you with the placement opportunities, provides guidance if you want to climb the ladder in your current organization or you want to set up your own trading desk. Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Making a Career in Algorithmic Trading https://www.quantinsti.com/blog/making-career-algorithmic-trading/ How Much Salary Do Quants Really Earn? https://www.quantinsti.com/blog/salary-quants-really-earn/ Tips To Start Your Own Business In Algorithmic Trading https://www.quantinsti.com/blog/tips-start-business-algorithmic-trading/
Webinar Topic: How to Design Quant Trading Strategies using “R”? - QuantInsti
 
01:14:44
This video is a recording of webinar on "How to Design Quant Trading Strategies using “R”? conducted by QuantInsti on 11th December , 2014 . The webinar aimed at introducing the concepts of Algorithmic Trading and exploring- 1. ” R” as a platform for strategy back testing 2. Optimizing Strategy parameters using “R” 3. Back testing the strategy across asset classes on “R” The webinar was taken by Mr. Anil Yadav, who is a co-founder of iRageCapital and QuantInsti, manages an Algorithmic strategy advisory team at iRageCapital and is responsible for building and benchmarking strategies for the clients across various asset classes. Prior to iRage, he has worked as Convertible Analyst at Lehman Brothers. He is IIM - Lucknow and IIT - Kanpur Alumnus. QuantInsti (QI) is the pioneer institute in providing training programs based on High Frequency Trading & Algorithmic Trading to both individuals as well as leading institutions like banks, institutional brokers and hedge funds. It has already seen many batches successfully completing their training programs and now actively contributing to the industry after getting placed in leading institutions or while working on their own algorithmic trading desks. Download Slides: http://www.slideshare.net/QuantInsti/how-to-design-quant-trading-strategies-using-r Please feel free to contact us at +91 22 61691400 or +91 9920448877 or you can even write us at [email protected], for any queries you might have. "#QuantTradingUsingR #AlgorithmicTrading #R #QuantInsti #Institutions" QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
#EPATian Success Story - Eriz Zárate
 
06:22
In this video, #EPATian Eriz Zárate shares how Quantinsti's EPAT programme helped him grow in the field of Algorithmic and Quantitative trading.
What is High-Frequency Trading, Low-Frequency Trading and Medium-Frequency Trading? #AlgoTradingAMA
 
00:45
What is Low-Frequency Trading? Trading where your trading strategy can accommodate a latency of ½sec. or a sec. without much deterioration in performance What is Medium Frequency Trading? Trading where your trading strategy can accommodate a latency of few milliseconds What is High-Frequency Trading? Trading where your trading strategy cannot afford a disadvantage of even 1 microsecond. Some helpful links to understand this better: What you need to know about HFT https://www.quantinsti.com/blog/hft-infographic/ High-Frequency Trading and Its Market Impact https://www.quantinsti.com/blog/how-high-frequency-trading-impacts-market-quality/ 4 High-Frequency Trading (HFT) Order Types You Need To Know https://www.quantinsti.com/blog/4-high-frequency-trading-order-types-need-know/ Long-Term Investment Vs High-Frequency Trading https://www.quantinsti.com/blog/long-term-investment-vs-high-frequency-trading/ Market Structure and Regulatory Changes in HFT https://www.quantinsti.com/blog/market-structure-regulatory-changes-high-frequency-trading/
How can a finance guy make career in Algorithmic Trading? #AlgoTradingAMA
 
01:29
Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Academic Backgrounds That Are Fit For Algo Trading https://www.quantinsti.com/blog/academic-backgrounds-algo-trading/ Making a Career in Algorithmic Trading https://www.quantinsti.com/blog/making-career-algorithmic-trading/ Why Should You Be Doing Algorithmic Trading? https://www.quantinsti.com/blog/why-you-should-be-doing-algorithmic-trading/
What are the approvals required for algorithmic trading? #AlgoTradingAMA
 
01:46
Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Setting-Up an Algo Trading Desk https://www.quantinsti.com/blog/setting-up-an-algo-trading-desk/ How Trading Systems Function https://www.quantinsti.com/blog/trading-systems-architecture/ Hardware & Networking of Automated Systems https://www.quantinsti.com/blog/hardware-networking-of-automated-systems/
Algorithmic Trading in India by Mr  Praveen Gupta, CEO - Symphony Fintech
 
02:34:52
Recording of QuantInsti’s webinar on “Algorithmic Trading in India”, where our guest speaker, Mr Praveen Gupta, CEO of Symphony Fintech had covered these following topics in his presentation: - Insight of Algo Trading in India - Algo Life-Cycle – Steps to become Algo Trader - Methods of Algo Trading for Active Traders - Different tools in the market globally which are used by algorithmic traders - Sample Algos and Trading Methods available with Symphony - Demo of Algo Trading with sample strategies - How to integrate with APIs and tools such as Excel and Amibroker It was a well-received webinar with attendees learning how to begin with algo trading in Indian markets. You can download the presentation slides at http://www.slideshare.net/QuantInsti/webinar-on-algorithmic-trading-in-india-by-symphony-fintech-ceo-praveen-gupta-at-quantinsti Finally, check out the our Executive Program in Algorithmic Trading - http://www.quantinsti.com/courses/epat/ You will find the course covers comprehensive trading in Algorithmic Trading, taught by some of the leading experts in this field. You can also subscribe to this YouTube channel and our blog to get strategy ideas and downloadable models! Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
System Architecture of Algo Trading Platform
 
04:04
The video gives an insight on the System architecture of Algo Trading Platform. QuantInsti is one of India's pioneering Algo Trading training institute offers - Quantitative Trading Courses, Quantitative Finance, Algorithmic Trading Strategies Solutions, High Frequency Trading, Pairs Trading and Statistical Arbitrage, High Probability Trading Strategies, Algorithmic Trading Book.(http://www.quantinsti.com/) (Linkedin: http://www.linkedin.com/groups?gid=3412051&trk=myg_ugrp_ovr) QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
QuantInsti's Success Story - Dr. Panashe Chiurunge
 
18:34
In this recording, Dr. Panashe shares his learning experience at Quantinsti. He pursued Executive Programme in Algorithmic Trading at QuantInsti between January '12 to June '12 in an online learning mode. Dr Panashe Chiurunge is the founder of Chartered Systems Integration, Chengetedzai and Cyber Architecture. He holds a PhD in Finance an MSc in Quantitative Finance from the University of London, a Microsoft Associate, Enterprise Architect and an Microsoft Certified Technology Specialist on BizTalk and Certified Global Derivatives Analyst from MCX. He has a wealth of international experience of over fifteen years with many financial institutions around the world in channel banking, software engineering, risk management and quantitative financial analysis solutions. Dr Chiurunge is a technology and business visionary offering fresh insight and a passion of innovation; he has a proven track record in planning, building and launching successful, high-profile business products. He is a powerful strategist in Chartered Systems Integration and is able to map creative business vision, transforming and empowering organizations with the tools, technologies, and strategies to bridge the IT business strategy gap. He is a dynamic leader and mentor, able to build team cohesion and inspire individuals to strive toward even higher levels of achievement. QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
Why EPAT (Executive Programme in Algorithmic Trading)?
 
01:06
The Executive Programme in Algorithmic Trading at QuantInsti provides high-level training for individuals working in, or intending to move into the buy or sell-side of business focusing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management. QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
WEBINAR - Programmatic Trading in Indian Markets using Python with Kite Connect API
 
51:04
For traders today, Python is the most preferred programming language for trading, as it provides great flexibility in terms of building and executing strategies. Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti For Individuals with basic programming knowledge, Python code is easily readable and understandable. This makes it easier to write and evaluate trading strategies on Python because of its functional programming approach. The Indian market is one of the biggest markets in the world, and algorithmic trading is picking up rhythm here. There are many online brokerages which can be used for implementing trading strategies, but they do not cater to Indian markets. Zerodha’s KiteConnect is the first of its kind that caters to Indian markets and that’s why they are credited as being a disruptive force in the Indian Broking Industry.
Master Algorithmic Trading With EPAT (Executive Programme in Algorithmic Trading)
 
02:12
The Executive Programme in Algorithmic Trading at QuantInsti is designed for professionals looking to grow in the field or planning to start their careers in Algorithmic and Quantitative Trading. It inspires traditional traders towards a successful Algorithmic trading career, by focusing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management. This comprehensive Algorithmic Trading course offers unparalleled insights into the world of Algorithms, financial technology, and changing Market Microstructure, following an exhaustive course structure designed by leading Algorithmic Traders, Quantitative experts and HFT thought leaders. QuantInsti® is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of algorithmic and quantitative trading. Quantra® is an e-learning portal by QuantInsti that specializes in short self-paced courses on algorithmic and quantitative trading. Quantra offers an interactive environment which supports ‘learning by doing’ through guided coding exercises, videos, and presentations. Most Useful links Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti Follow us on LinkedIn: https://www.linkedin.com/school/quantinsti/
Jacques Joubert - #EPATian Success Story
 
03:38
#Quantinstian Jacques Joubert talks about life after doing EPAT™ from Quantinsti and how it helped him in building a career in the lucrative field of algo trading and quantitative finance. Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti EPAT™ (Executive Programme in Algorithmic Trading) is a unique course offered by Asia's premier Algorithmic Trading and Quantitative Finance Institute which will help you become the master of the trade. Wannabe a Quant or Algo trader? Call us now on +91-22-61691400 or register on www.quantinsti.com/epat
#EPATian Success Story - Himanshu Babbar
 
02:50
In this video #EPATian™ Himanshu Babbar will take you through his learning experience with EPAT™ and how it groomed him to pursue his career in python programming.
Workshop Topic: Quantitative Trading Strategy - QuantInsti
 
01:16:31
This video is a recording of the Online Workshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to: · Learn to model a strategy · Get exposed to various Financial Computing tools including R · Learn to back-test and optimize your strategy · Deploy the strategy on an open-sourced advanced trading platform Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore. QuantInsti's (http://www.quantinsti.com) flagship offering is the 'Executive Programme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class. You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy #FinancialComputingToolsForR #AlgorithmicTradingTechnology #ExecutiveProgrammeinAlgorithmic" QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
What are the skills required to land a job as an algorithmic trader? #AlgoTradingAMA
 
01:20
Statistics and Econometrics, Financial Computing and Quantitative Trading strategies. Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Making a Career in Algorithmic Trading https://www.quantinsti.com/blog/making-career-algorithmic-trading/ How Can Technical And Financial Experts Become Quants? https://www.quantinsti.com/blog/how-technical-financial-experts-become-quants/ How Can Algorithmic Trading Add Value To Finance & Tech Grads? https://www.quantinsti.com/blog/algorithmic-trading-finance-grads-fundamental-traders/
Quantitative Trading using Sentiment Analysis by Rajib Ranjan Borah - June 28, 2016
 
01:46:59
Date and Time: Tuesday, June 28, 2016 04:00 PM GMT | 12:00 PM EST | 09:30 PM IST About Sentiment Analysis: Sentiment Analysis. also known as opinion mining, is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer’s attitude towards a particular topic, product, etc. is positive, negative, or neutral. The analysis finds significant prominence in social media, stock markets, law, policy making, sociology and even customer service. Session Contents: - How Sentiment Analysis works - Designing Trading Strategies using Sentiment Analysis - Historical analysis of profitability – Case studies - Pitfalls in using Sentiment Analysis and how to avoid them Speaker: Rajib Ranjan Borah - Co-founder, iRageCapital Advisory Rajib designs High Frequency Trading Strategies for Asian exchanges and works with other exchanges & institutions to design educational programs. He has been an invited speaker at conferences like “UChicago Quant Trading Conference” and “5th Annual Conference: Behavioural Models & Sentiment Analysis Applied to Finance”, July 2015 in London, on sentiment analysis and high frequency trading in America, Europe and Asia. Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Python for Trading at Quantra
 
02:43
Learn Python for finance from scratch while doing lots of hands-on coding. Code and backtest your own trading strategies in Python. Joint certification offered by Quantinsti and MCX. To take this course visit https://quantra.quantinsti.com/courseDetails/28/Python-For-Trading Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Options Greeks - Vega increases or decreases with respect to the time to expiry?
 
02:23
A short brief introduction to a Options Greeks measure called as Vega give by Mr. Rajib Ranjan Borah. QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
Seconds snapshot data Vs True tick-by-tick data #AlgoTradingAMA
 
02:21
Watch the complete Algo Trading AMA by Nitesh Khandelwal at https://www.youtube.com/watch?v=ZjZ_qWTGFB4 Some useful links: Algorithmic Trading Strategies, Paradigms and Modelling Ideas https://www.quantinsti.com/blog/algorithmic-trading-strategies/ Successful Trading Strategy: Know these 5 factors https://www.quantinsti.com/blog/5-factors-will-make-trading-strategy-work/ Introduction To Market Making & High-Frequency Trading Strategies https://www.quantinsti.com/blog/automated-market-making-overview/
How to use Quantra?
 
03:07
This video explains how to use QuantInsti's e-learning portal - Quantra Visit the portal here - https://quantra.quantinsti.com/