Recent Updates: http://www.slideshare.net/QuantInsti/quantitative-trading-using-sentiment-analysis-by-rajib-ranjan-borah-29-june16
Quantified News Based Trading: Is it the next big thing in algorithmic trading?
“News is the first order factor that affects prices, volume, volatility of stocks, currencies, commodities, etc”
This presentation explores the science behind quantified news based trading and will take you through how it is evolving with time. The presentation also highlights trading profitability results of strategies based on quantified news analytic
This topic was presented by Mr. Rajib Ranjan Borah, Founder & Director, QuantInsti, at the "4th Princeton-UChicago Quant Trading Conference" in University of Chicago.
This presentation will help you to understand:
· What is quantified new trading?
· How to quantify news report and articles?
· How can you make profit using Quantified news based trading?
· How is relevance scored?
· What are the challenges involved in Quantified news trading?
Watch a recorded video of a presentation on the same topic here:
http://youtu.be/UvfhuQddUXw?list=UU8kXgHG13XdgsigIPRmrIyA
Quantifying News For Automated Trading - Methodology and ProfitabilityQuantInsti
The presentation is part of a conference conducted by QuantInsti Quantitative Learning Pvt. Ltd. along with a multinational investment banking firm that engages in global investment banking, securities, investment management, and other financial services.
News is the prime factor which affects prices of financial assets, everything else is secondary. However, owing to the huge volume of news information continuously released by modern electronic communication, it becomes increasingly difficult to process all the information in a timely manner.
You can find a detailed version of this presentation on our blog - http://www.quantinsti.com/blog/quantifying-news-for-automated-trading-methodology-and-profitability/
Connect with us:
Facebook - http://facebook.com/quantinsti
Twitter - http://twitter.com/quantinsti
Youtube - http://youtube.com/quantinsti
Managing an Option Portfolio and how Automated Trading makes it easierQuantInsti
This presentation is a part of the series of webinars conducted by QI every month. This webinar was conducted on 3rd August, 2013. The topic was 'Managing an Option Portfolio and how Automated Trading makes it easier'.
The session was be taken by Mr Rajib Ranjan Borah who is a leading expert in Options Market Making. The talk focused on (i) fundamentals of options trading, (ii) ways to Managing Options Positions, and (iii) Building Sophisticated Algorithmic Options Trading Strategies.
To view a recording of the webinar, please email contact@quantinsti.com
Algorithmic Trading in Different LandscapesQuantInsti
Presentation on "Algorithmic Trading in different geographies"
This presentation highlights the trading landscape in different geographies and compares them on four parameters:
i) Technological protocols in various geographies
ii) Regulatory environments
iii) Competitive landscape
iv) Market Volumes
This presentation was presented by senior QI faculty and co-founder Rajib Ranjan Borah at the pre-conference workshop of the "4th Annual Conference: Behavioral Models and Sentiment Analysis Applied to Finance", in London in June 2014.
The two day pre-conference workshop on "Market Microstructure, Liquidity and Automated Trading Workshop" was conducted at Fitch Learnings, London.
To view a video recording of the presentation, please contact contact@quantinsti.com
Paradigms of trading strategies formulationQuantInsti
The webinar aims to look at trading strategies from different perspectives. The aim has been to provide the audience with the metrics to formulate, evaluate the strategy based on the paradigms that suits one's trading style. We have often seen, when a same strategy is been used by two different traders, results have been quite different. What causes this difference has been the theme for this webinar.
This webinar gives a brief introduction to Algorithmic Trading followed by the changing skill sets that are required in the new age trading business by mapping the required skill sets. This is followed by Industry trends in Algorithmic and Quantitative Trading. It also gives a detailed view of how Quantinsti's Algorithmic and Quantitative Trading programme: Executive Programme in Algorithmic Trading can assist the participants aspiring to enter the domain of Algorithmic and Quantitative Trading.
Quant insti webinar on algorithmic trading for technocrats!QuantInsti
The webinar links the key concepts of Algorithmic Trading to Engineers and Technology Graduates. It is aimed at explaining Algo Trading Basics in way that is easily understandable and palatable.
This video is part of a webinar taken by Gaurav Raizada on 14th May, 2013 at QuantInsti, Mumbai. The webinar was about Algorithmic and High Frequency trading career for technocrats with detailed discussion about this domain and different skill sets required to excel in this industry.
This webinar will cover the following topics:
A. Latency - Metrics and Limits
B. Tick to Trade Latencies
C. Cause of Degradation
D. Present Landscape and Foreseeable Future
The webinar was taken by Mr. Gaurav Raizada, he is a Director at iRageCapital Advisory Private Ltd and also Senior faculty of QuantInsti, leads the firm's advisory practice in India on the Systems, Performance and Strategies. He has consulted extensively with core focus on strategy development and execution including trading systems development, latency reduction, optimization and transaction cost analysis. Gaurav is IIT and IIM Alumnus.
How to design quant trading strategies using “R”?QuantInsti
This presentation answers fundamental questions like - What is R? How can we use R packages in writing quantitative trading strategies?
It also details the steps in the development of a quantitative trading strategy.
Going further it teaches how to optimize & refine your strategy.
The attached video gives an elaborate demonstration of a quant trading strategy in action.
The presentation is a part of a webinar which was conducted 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.
Quantifying News For Automated Trading - Methodology and ProfitabilityQuantInsti
The presentation is part of a conference conducted by QuantInsti Quantitative Learning Pvt. Ltd. along with a multinational investment banking firm that engages in global investment banking, securities, investment management, and other financial services.
News is the prime factor which affects prices of financial assets, everything else is secondary. However, owing to the huge volume of news information continuously released by modern electronic communication, it becomes increasingly difficult to process all the information in a timely manner.
You can find a detailed version of this presentation on our blog - http://www.quantinsti.com/blog/quantifying-news-for-automated-trading-methodology-and-profitability/
Connect with us:
Facebook - http://facebook.com/quantinsti
Twitter - http://twitter.com/quantinsti
Youtube - http://youtube.com/quantinsti
Managing an Option Portfolio and how Automated Trading makes it easierQuantInsti
This presentation is a part of the series of webinars conducted by QI every month. This webinar was conducted on 3rd August, 2013. The topic was 'Managing an Option Portfolio and how Automated Trading makes it easier'.
The session was be taken by Mr Rajib Ranjan Borah who is a leading expert in Options Market Making. The talk focused on (i) fundamentals of options trading, (ii) ways to Managing Options Positions, and (iii) Building Sophisticated Algorithmic Options Trading Strategies.
To view a recording of the webinar, please email contact@quantinsti.com
Algorithmic Trading in Different LandscapesQuantInsti
Presentation on "Algorithmic Trading in different geographies"
This presentation highlights the trading landscape in different geographies and compares them on four parameters:
i) Technological protocols in various geographies
ii) Regulatory environments
iii) Competitive landscape
iv) Market Volumes
This presentation was presented by senior QI faculty and co-founder Rajib Ranjan Borah at the pre-conference workshop of the "4th Annual Conference: Behavioral Models and Sentiment Analysis Applied to Finance", in London in June 2014.
The two day pre-conference workshop on "Market Microstructure, Liquidity and Automated Trading Workshop" was conducted at Fitch Learnings, London.
To view a video recording of the presentation, please contact contact@quantinsti.com
Paradigms of trading strategies formulationQuantInsti
The webinar aims to look at trading strategies from different perspectives. The aim has been to provide the audience with the metrics to formulate, evaluate the strategy based on the paradigms that suits one's trading style. We have often seen, when a same strategy is been used by two different traders, results have been quite different. What causes this difference has been the theme for this webinar.
This webinar gives a brief introduction to Algorithmic Trading followed by the changing skill sets that are required in the new age trading business by mapping the required skill sets. This is followed by Industry trends in Algorithmic and Quantitative Trading. It also gives a detailed view of how Quantinsti's Algorithmic and Quantitative Trading programme: Executive Programme in Algorithmic Trading can assist the participants aspiring to enter the domain of Algorithmic and Quantitative Trading.
Quant insti webinar on algorithmic trading for technocrats!QuantInsti
The webinar links the key concepts of Algorithmic Trading to Engineers and Technology Graduates. It is aimed at explaining Algo Trading Basics in way that is easily understandable and palatable.
This video is part of a webinar taken by Gaurav Raizada on 14th May, 2013 at QuantInsti, Mumbai. The webinar was about Algorithmic and High Frequency trading career for technocrats with detailed discussion about this domain and different skill sets required to excel in this industry.
This webinar will cover the following topics:
A. Latency - Metrics and Limits
B. Tick to Trade Latencies
C. Cause of Degradation
D. Present Landscape and Foreseeable Future
The webinar was taken by Mr. Gaurav Raizada, he is a Director at iRageCapital Advisory Private Ltd and also Senior faculty of QuantInsti, leads the firm's advisory practice in India on the Systems, Performance and Strategies. He has consulted extensively with core focus on strategy development and execution including trading systems development, latency reduction, optimization and transaction cost analysis. Gaurav is IIT and IIM Alumnus.
How to design quant trading strategies using “R”?QuantInsti
This presentation answers fundamental questions like - What is R? How can we use R packages in writing quantitative trading strategies?
It also details the steps in the development of a quantitative trading strategy.
Going further it teaches how to optimize & refine your strategy.
The attached video gives an elaborate demonstration of a quant trading strategy in action.
The presentation is a part of a webinar which was conducted 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.
Changing Notions of Risk Management in Financial MarketsQuantInsti
The presentation is a part of QuantInsti's Webinar on "Changing Notions of Risk Management in Current Markets" which was conducted on 10th August, 2015.
In the presentation Mr. Rajib Borah, Director and Faculty at QuantInsti, talks about a few major risk oversight issues in algorithmic trading, like:
a. How did Knight Capital lose $460 in 45 minutes?
b. Why was Deutsche Bank forced to close their Algorithmic Trading desk in Tokyo?
c. What went wrong at Infinium Capital while trading Crude ETFs and why were they fined $850,000?
d. What mistake caused HanMag Securities of Korea to lose 57 billion Korean Won in a few minutes?
e. and a few more
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.
Download Slides: http://www.slideshare.net/QuantInsti/...
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 or Toll Free: 1800-266-5401 for any queries you might have.
Modelling Trading Strategies In Equities PresentationQuantInsti
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.
Session Outline:
- Introduction
- Stationarity of Time Series
- Testing for Stationarity: ADF Test
- Cointegration vs. Correlation
- Mean Reversion Strategies
- Questions
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
Webinar on Algorithmic Trading - Why make the move? with Vivek Krishnamoorthy...QuantInsti
For the Webinar video, you can also visit: https://blog.quantinsti.com/why-algo-trading-webinar-12-december-2019/
-----------------------------------------
Session Outline:
If you are a trader or investor in the financial markets, you're probably aware that the investing landscape has undergone a sea change in the last 10-15 years.
At the heart of it, is the use of quantitative techniques in making buying and selling decisions in the markets. Often, we hear from our community that they want to learn more about these new-age tools and harness them to improve returns on their investments.
- Current trading and investing landscape: How things have shaped up for traders in the last two decades
- Issues faced by manual/discretionary traders
- Limitations in the traditional analysis methods (Technical Analysis and Fundamental Analysis)
- Add a quantitative analysis dimension to your existing trading style
- Q and A
-----------------------------------------
Who Should Attend?
- Discretionary/manual traders (ex. professional traders, part-time traders) who are looking to upskill and get better returns
- Technology professionals, who want to leverage their technical skills to invest wisely in the financial markets
- Students and other enthusiasts who wish to make a career in quantitative finance
-----------------------------------------
For the Webinar video, you can also visit: https://blog.quantinsti.com/why-algo-trading-webinar-12-december-2019/
-----------------------------------------
Learn more about our EPAT® course here: https://www.quantinsti.com/epat/
OR Visit us at: https://www.quantinsti.com/
-----------------------------------------
Like and Follow us on:
Facebook: https://www.facebook.com/quantinsti/
LinkedIn: https://www.linkedin.com/company/quantinsti
Twitter: https://twitter.com/QuantInsti
Instagram: https://www.instagram.com/quantinstian/
YouTube: https://www.youtube.com/user/quantinsti
-----------------------------------------
Connect with us:
Email: contact@quantinsti.com
Phone: +91-22-61691400
Toll Free: 1800-266-5401
-----------------------------------------
Changing Notions of Risk Management in Financial MarketsQuantInsti
Presentation on "Changing Notions of Risk Management in Financial Markets - Impact of Proliferation of Automated Trading Systems and Technology on Financial Markets".
This presentation explains about the changing landscape of trading risk management, trends in automated trading, major automated trading risk failures, regulatory framework in India and all the risk management process phrases.
This presentation was presented by senior QI faculty and co-founder Rajib Ranjan Borah at the pre-conference workshop of the "India Risk Management Week", in Mumbai at 22nd May 2014.
This presentation will help you understand about risk management in automated trading and give you a clear picture about how automated trading is changing the way of trading in India.
A Sneak Peek into Artificial Intelligence Based HFT Trading StrategiesQuantInsti
This presentation was delivered by QuantInsti director and co-founder Mr Sameer Kumar at webinar 'A Sneak Peek into Artificial Intelligence Based HFT Trading Strategies' organized by QuantInsti on 27th February 2015.
In this webinar, Mr Sameer Kumar has explained how machine learning techniques can help you in designing better trading strategies. He also explained about alpha in trading and how you can extract it by applying the knowledge of market structure and order flow. It will help you understand how to use machine learning for predicting asset paths. Webinar was attended by participants who has interest in understanding the high frequency trading and using Artificial Intelligence for trading from India, US, UK, Spain and Sweden.
Following are the topics that are covered in this presentation,
1) Economic Concepts
2) AI and Machine Learning
3) Support Vector Machines
4) Building sample model using machine learning
This presentation will give you a basic understanding of how artificial intelligence based HFT trading strategies work, it will explain you how AI based technologies are changing the way you do trading, and how you can increase your profits by making best out of it.
Statistics - The Missing Link Between Technical Analysis and Algorithmic Trad...Quantopian
Trading leveraged derivatives using only technical analysis or speculative analysis can lead to windfall losses for even the most disciplined trader and investor. Statistics are often an ignored area of work when it comes to derivatives trading. Our talk shall focus upon how volatility can be used for dynamically adjusting the stop losses. It will talk about how correlation is an essential method to diversify the class of derivatives being traded or hedged. It will focus on co-integration as a key method to distinguish a mean reverting time series to a non-mean reverting time series. It will touch upon other essential time series econometrics like OU process, VRT as well as statistical tools like PCA, ARCH, GARCH etc. which are essential for derivatives pricing and forecasting the volatility.
The Genesis of an Order Type by Dan Aisen, Co-founder and Quantitative Develo...Quantopian
For the past several years, exchange and dark pool order types have been one of the hot topics in the US equity markets, as characterized by WSJ exposes and record SEC fines. Rather than piling on with more negativity, this talk will walk through the process of developing a new order type, from the discovery of a market structure inefficiency to the research of potential solutions, and finally, the deployment and evaluation of the result. This talk will explore how exchanges and dark pools can impact the stock market through thoughtful order type design.
This presentation was part of the QuantCon 2015 Conference hosted by Quantopian. Visit us at: www.quantopian.com.
“Real Time Machine Learning Architecture and Sentiment Analysis Applied to Fi...Quantopian
Presented at QuantCon Singapore 2016, Quantopian's quantitative finance and algorithmic trading conference, November 11th.
The vast proliferation of data related to the financial industry introduces both new opportunities and challenges to quantitative investors. These challenges are often due to the nature of big data and include: volume, variety, and velocity.
In this talk, Dr. Cheng will take the audience on a tour of the “big-data production line” in InfoTrie and show how the financial news collected from various and customizable sources are transformed into quantitative signals in a real-time manner. The talk will touch on various kind of topics like sentiment analysis, entity detection, topic classification, and big-data tools.
Pairs Trading from NYC Algorithmic Trading Meetup November '13Quantopian
Gary Chan presented at the NYC Algorithmic Trading Meetup. More on the presentation, including a sample Excel file, on our blog http://blog.quantopian.com/gary-chan-on-pairs-trading-presentation-from-nyc-algorithmic-trading-meetup/ You can sign up for future meetups here: www.meetup.com/NYC-Algorithmic-Trading/
Should You Build Your Own Backtester? by Michael Halls-Moore at QuantCon 2016Quantopian
The huge uptake of Python and R as first-class programming languages within quantitative trading has lead to an abundance of backtesting libraries becoming widely available. It can take months, if not years, to develop a robust backtesting and trading infrastructure from scratch and many of the vendors (both commercial and open source) have a huge head start. Given such prevalence and maturity of the available software, as well as the time investment needed for development, is there any benefit to building your own?
In this talk, Mike will argue the advantages and disadvantages of building your own infrastructure, how to develop and improve your first backtesting system and how to make it robust to internal and external risk events. The talk will be of interest whether you are a retail quant trader managing your own capital or are forming a start-up quant fund with initial seed funding.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Case Studies in Creating Quant Models from Large Scale Unstructured Text by S...Quantopian
SEC filings provide a window into the health of the company and are immensely important for investors. Historically, the only feasible way to read and interpret filings has been manually, where domain experts interpret filings and provide guidance to public. However, advances in big data technologies and Natural Language processing have enabled its automation. Sameena will discuss how her team created predictive models from text in filings and social media.
This presentation was part of QuantCon 2015 hosted by Quantopian. Visit us at: www.quantopian.com.
Big data analytics as an on demand service by Kevin Crosbie.J On The Beach
RavenPack provides Big Data Analytics derived from unstructured data to top hedge-funds and banks worldwide. These global institutions recognize the value in this type of data when making financial decisions. This talk will explain some of the key use-cases of our analytics, and will showcase a platform that we have developed which allows us to make our data accessible to all as an on-demand service.
Кейс: построение портрета аудитории сайта на основе технологии Rehub.
Узнать больше о сервисе и провести анализ своего сайта можно, зарегистрировавшись на http://www.re-hub.ru/
Changing Notions of Risk Management in Financial MarketsQuantInsti
The presentation is a part of QuantInsti's Webinar on "Changing Notions of Risk Management in Current Markets" which was conducted on 10th August, 2015.
In the presentation Mr. Rajib Borah, Director and Faculty at QuantInsti, talks about a few major risk oversight issues in algorithmic trading, like:
a. How did Knight Capital lose $460 in 45 minutes?
b. Why was Deutsche Bank forced to close their Algorithmic Trading desk in Tokyo?
c. What went wrong at Infinium Capital while trading Crude ETFs and why were they fined $850,000?
d. What mistake caused HanMag Securities of Korea to lose 57 billion Korean Won in a few minutes?
e. and a few more
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.
Download Slides: http://www.slideshare.net/QuantInsti/...
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 or Toll Free: 1800-266-5401 for any queries you might have.
Modelling Trading Strategies In Equities PresentationQuantInsti
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.
Session Outline:
- Introduction
- Stationarity of Time Series
- Testing for Stationarity: ADF Test
- Cointegration vs. Correlation
- Mean Reversion Strategies
- Questions
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
Webinar on Algorithmic Trading - Why make the move? with Vivek Krishnamoorthy...QuantInsti
For the Webinar video, you can also visit: https://blog.quantinsti.com/why-algo-trading-webinar-12-december-2019/
-----------------------------------------
Session Outline:
If you are a trader or investor in the financial markets, you're probably aware that the investing landscape has undergone a sea change in the last 10-15 years.
At the heart of it, is the use of quantitative techniques in making buying and selling decisions in the markets. Often, we hear from our community that they want to learn more about these new-age tools and harness them to improve returns on their investments.
- Current trading and investing landscape: How things have shaped up for traders in the last two decades
- Issues faced by manual/discretionary traders
- Limitations in the traditional analysis methods (Technical Analysis and Fundamental Analysis)
- Add a quantitative analysis dimension to your existing trading style
- Q and A
-----------------------------------------
Who Should Attend?
- Discretionary/manual traders (ex. professional traders, part-time traders) who are looking to upskill and get better returns
- Technology professionals, who want to leverage their technical skills to invest wisely in the financial markets
- Students and other enthusiasts who wish to make a career in quantitative finance
-----------------------------------------
For the Webinar video, you can also visit: https://blog.quantinsti.com/why-algo-trading-webinar-12-december-2019/
-----------------------------------------
Learn more about our EPAT® course here: https://www.quantinsti.com/epat/
OR Visit us at: https://www.quantinsti.com/
-----------------------------------------
Like and Follow us on:
Facebook: https://www.facebook.com/quantinsti/
LinkedIn: https://www.linkedin.com/company/quantinsti
Twitter: https://twitter.com/QuantInsti
Instagram: https://www.instagram.com/quantinstian/
YouTube: https://www.youtube.com/user/quantinsti
-----------------------------------------
Connect with us:
Email: contact@quantinsti.com
Phone: +91-22-61691400
Toll Free: 1800-266-5401
-----------------------------------------
Changing Notions of Risk Management in Financial MarketsQuantInsti
Presentation on "Changing Notions of Risk Management in Financial Markets - Impact of Proliferation of Automated Trading Systems and Technology on Financial Markets".
This presentation explains about the changing landscape of trading risk management, trends in automated trading, major automated trading risk failures, regulatory framework in India and all the risk management process phrases.
This presentation was presented by senior QI faculty and co-founder Rajib Ranjan Borah at the pre-conference workshop of the "India Risk Management Week", in Mumbai at 22nd May 2014.
This presentation will help you understand about risk management in automated trading and give you a clear picture about how automated trading is changing the way of trading in India.
A Sneak Peek into Artificial Intelligence Based HFT Trading StrategiesQuantInsti
This presentation was delivered by QuantInsti director and co-founder Mr Sameer Kumar at webinar 'A Sneak Peek into Artificial Intelligence Based HFT Trading Strategies' organized by QuantInsti on 27th February 2015.
In this webinar, Mr Sameer Kumar has explained how machine learning techniques can help you in designing better trading strategies. He also explained about alpha in trading and how you can extract it by applying the knowledge of market structure and order flow. It will help you understand how to use machine learning for predicting asset paths. Webinar was attended by participants who has interest in understanding the high frequency trading and using Artificial Intelligence for trading from India, US, UK, Spain and Sweden.
Following are the topics that are covered in this presentation,
1) Economic Concepts
2) AI and Machine Learning
3) Support Vector Machines
4) Building sample model using machine learning
This presentation will give you a basic understanding of how artificial intelligence based HFT trading strategies work, it will explain you how AI based technologies are changing the way you do trading, and how you can increase your profits by making best out of it.
Statistics - The Missing Link Between Technical Analysis and Algorithmic Trad...Quantopian
Trading leveraged derivatives using only technical analysis or speculative analysis can lead to windfall losses for even the most disciplined trader and investor. Statistics are often an ignored area of work when it comes to derivatives trading. Our talk shall focus upon how volatility can be used for dynamically adjusting the stop losses. It will talk about how correlation is an essential method to diversify the class of derivatives being traded or hedged. It will focus on co-integration as a key method to distinguish a mean reverting time series to a non-mean reverting time series. It will touch upon other essential time series econometrics like OU process, VRT as well as statistical tools like PCA, ARCH, GARCH etc. which are essential for derivatives pricing and forecasting the volatility.
The Genesis of an Order Type by Dan Aisen, Co-founder and Quantitative Develo...Quantopian
For the past several years, exchange and dark pool order types have been one of the hot topics in the US equity markets, as characterized by WSJ exposes and record SEC fines. Rather than piling on with more negativity, this talk will walk through the process of developing a new order type, from the discovery of a market structure inefficiency to the research of potential solutions, and finally, the deployment and evaluation of the result. This talk will explore how exchanges and dark pools can impact the stock market through thoughtful order type design.
This presentation was part of the QuantCon 2015 Conference hosted by Quantopian. Visit us at: www.quantopian.com.
“Real Time Machine Learning Architecture and Sentiment Analysis Applied to Fi...Quantopian
Presented at QuantCon Singapore 2016, Quantopian's quantitative finance and algorithmic trading conference, November 11th.
The vast proliferation of data related to the financial industry introduces both new opportunities and challenges to quantitative investors. These challenges are often due to the nature of big data and include: volume, variety, and velocity.
In this talk, Dr. Cheng will take the audience on a tour of the “big-data production line” in InfoTrie and show how the financial news collected from various and customizable sources are transformed into quantitative signals in a real-time manner. The talk will touch on various kind of topics like sentiment analysis, entity detection, topic classification, and big-data tools.
Pairs Trading from NYC Algorithmic Trading Meetup November '13Quantopian
Gary Chan presented at the NYC Algorithmic Trading Meetup. More on the presentation, including a sample Excel file, on our blog http://blog.quantopian.com/gary-chan-on-pairs-trading-presentation-from-nyc-algorithmic-trading-meetup/ You can sign up for future meetups here: www.meetup.com/NYC-Algorithmic-Trading/
Should You Build Your Own Backtester? by Michael Halls-Moore at QuantCon 2016Quantopian
The huge uptake of Python and R as first-class programming languages within quantitative trading has lead to an abundance of backtesting libraries becoming widely available. It can take months, if not years, to develop a robust backtesting and trading infrastructure from scratch and many of the vendors (both commercial and open source) have a huge head start. Given such prevalence and maturity of the available software, as well as the time investment needed for development, is there any benefit to building your own?
In this talk, Mike will argue the advantages and disadvantages of building your own infrastructure, how to develop and improve your first backtesting system and how to make it robust to internal and external risk events. The talk will be of interest whether you are a retail quant trader managing your own capital or are forming a start-up quant fund with initial seed funding.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Case Studies in Creating Quant Models from Large Scale Unstructured Text by S...Quantopian
SEC filings provide a window into the health of the company and are immensely important for investors. Historically, the only feasible way to read and interpret filings has been manually, where domain experts interpret filings and provide guidance to public. However, advances in big data technologies and Natural Language processing have enabled its automation. Sameena will discuss how her team created predictive models from text in filings and social media.
This presentation was part of QuantCon 2015 hosted by Quantopian. Visit us at: www.quantopian.com.
Big data analytics as an on demand service by Kevin Crosbie.J On The Beach
RavenPack provides Big Data Analytics derived from unstructured data to top hedge-funds and banks worldwide. These global institutions recognize the value in this type of data when making financial decisions. This talk will explain some of the key use-cases of our analytics, and will showcase a platform that we have developed which allows us to make our data accessible to all as an on-demand service.
Кейс: построение портрета аудитории сайта на основе технологии Rehub.
Узнать больше о сервисе и провести анализ своего сайта можно, зарегистрировавшись на http://www.re-hub.ru/
Weak signal analytics for product, business & ip strategy by big info labsBalakrishna Uppala
The presentation talks about the value of tapping into weak signals from non-patent data sources to aid decisions on business and IP strategy. The aim of such an approach is to continuously monitor the business, technology and competitor landscape for leading indicators that may present an opportunity or pose a threat to an organization’s IP and business. We present a technology approach that addresses the challenges of unstructured content analysis at Big Data proportions - which are inevitable when dealing with weak signals. This was presented during I-HIPP Analyst Virtual Session in July 2016.
Leveraging artificial intelligence to build algorithmic trading strategiesQuantInsti
This webinar presentation covers:
- Overview of artificial intelligence and machine learning and practical applications in trading
- Best practices and common pitfalls
- Pattern recognition algorithms
- Association rule learning
- Building a live strategy in TRAIDE
Futures Trading Strategies on SGX - India chapter in AFACT in SingaporeQuantInsti
QuantInsti was invited to Participate in SGX India Suite in AFACT (Association of Financial and Commodity Traders, Singapore).
Mr. Nitesh Khandelwal, Founder of QuantInsti, spoke at SGX-India chapter in AFACT in Singapore on the 23rd of May. He gave a detailed presentation covering various Quantitative Trading Strategies. The session was based on the real life quantitative trading strategies with actual market data. Various models were also shown and explained to the audience.The presentation was very well received by the participants, which included many members of Association of Financial and Commodity Traders, Singapore.
Tap into the macro-economic coverage on India and gain trading insights centered around SGX’s India suite of derivative products namely SGX CNX Nifty Index Futures, SGX MSCI India Index Futures, SGX INR/USD FX Futures. With speakers covering macro-economic developments and delving into the finer details of trading strategies, this was an event not to be missed.
You can find a detailed version of this presentation on our blog - http://www.quantinsti.com/blog/afact-time-for-sgx-sgx-india-suite/
Connect with us:
Facebook - http://facebook.com/quantinsti
Twitter - http://twitter.com/quantinsti
Youtube - http://youtube.com/quantinsti
CoinDesk reveals the key trends, challenges, and opportunities for bitcoin and blockchain technology in Q2 2015.
Get in touch via advertising@coindesk.com if you'd like to sponsor a report in the future.
Technology Edge in Algo Trading: Traditional Vs Automated Trading System Arch...QuantInsti
This presentation was delivered by QuantInsti director and co-founder Mr Sameer Kumar at a workshop on 'Technology Edge in Algorithmic Trading' organized at Finbridge Expo 2015, Mumbai on 14th March 2015.
This event was India’s first ever integrated financial service providers’ exhibition that brought together top mutual funds, insurance companies, leading brokers, banks or financial institutions, fund managers, decision makers along with thousands of retail financial market participants, distributors, investors and vendors.
In this workshop Mr Sameer Kumar has explained how latest technology has changed trading environment and how you can increase your profits by taking advantage of it. He thoroughly discussed how tradition trading systems evolved into automated trading systems over past few years. Following are the topics that are covered in this presentation,
1) Significance of Latency
2) Traditional Trading System Architecture
3) Automated Trading System Architecture
4) Low Latency
5) Current Scenario
6) Performance Degradation with Throughput
7) Causes of Degradation
8) Parallel computing
9) Network Effects
10) Latency by Distance
11) Spread Networks
12) Microbursts
13) Latency Breakdown
14) Technology Mix
15) Tips
16) Sample Solution Path
This presentation will help you understand the traditional and automated trading system architecture, it will explain you the significance of latency in an automated trading environment and few tips along with a sample solution path.
Basic statistics for algorithmic tradingQuantInsti
In this presentation we try to understand the core basics of statistics and its application in algorithmic trading.
We start by defining what statistics is. Collecting data is the root of statistics. We need data to analyse and take quantitative decisions.
While analyzing, there are certain parameters for statistics, this branches statistics into two - descriptive statistics & inferential statistics.
This data that we have collected can be classified into uni-variate and bi-variate. It also tries to explain the fundamental difference.
Going Further we also cover topics like regression line, Coefficient of Determination, Homoscedasticity and Heteroscedasticity.
In this way the presentation look at various aspects of statistics which are used for algorithmic trading.
To learn the advanced applications of statistics for HFT & Quantitative Trading connect with us one our website: www.quantinsti.com.
The Next Round - Optimizing Your Next Financing with Investor ReportingVisible.vc
For public companies, frequent investor reporting is a requirement. In the private markets, this is not the case. At Visible, we worked with Digital Currency Group to help companies better understand how a commitment to consistent investor updates leads to more successful funding outcomes.
Digital Marketing Strategies to catch the Omin-Channel customerFederico Gasparotto
The consumer is evolving: eCommerce does not exists anymore.... It doesn’t make sense to talk about mobile or social: it only exists the «Commerce» handled through different tools, in different contexts.
E-Commerce is one of the business pillar of the Omni-Channel and customer-centric company.
The adoption of new tools, new formats and new strategies becomes essential to be more relevant and excel in the market.
Are you looking to manage your brand reputation online? News monitoring is the process of extracting references to your brand from mainstream media. News sentiment analysis takes those mentions and scores them for positive or negative sentiment. This allows you to understand how the public feels about your company.
The spring 2014 Insight newsletter from Quantifi, including a conversation with Hannan Mohammed, deputy head of the funding and markets division of AFD, and a Q&A with Mark Traudt, CTO of Quantifi.
Let's face it: content marketing is hard. How should you you structure your team? How often should you create content? How long should it be? How should you distribute and measure it? When should you optimize and do paid promotion? We get these questions (among many, many more) nearly everyday at NewsCred.
BDW17 London - Tom Woolrich, Financial Times - What Does Big Data Mean for th...Big Data Week
Content:
1. A brief history of the FT
2. What does Big Data mean to the FT?
3. The benefits of Big Data & how we use it
4. How we do it
5. What’s next for us?
Transforming for digital customers across 6 key industriesAbhishek Sood
While many industries recognize the value of digital transformation and the role it plays in meeting increasingly high customer expectations, digital transformation maturity is lagging behind in several industries.
To learn more, Forrester Consulting conducted a study to evaluate the state of digital transformation across 6 industries, including retail, banking, healthcare, insurance, telco, and media.
Find out how each of these industries is faring in a digital-first world, and uncover the report’s key findings about:
The role of digital technologies in shaping customer relationships
Areas of improvement: From operations to digital marketing
Recommendations for the next steps in digital transformation
And more
Hominy Feed Market is expected to offer significant growth at a CAGR of 6.7...RinsuAnnaSinu
Hominy feed is a basic ingredient for feeding dairy and beef cattle. Hominy is mostly used to feed ruminants because it has a lot of fat and protein. Hominy feed is made when dry maize is milled, and about one-third of the original volume of maize is turned into hominy feed. Even though it is made of corn kernels, it is more nutritious than maize and has replaced maize as animal feed. Also, the industry that makes ethanol from these crops is growing quickly around the world, especially in the United States. Because it contains a lot of starch, hominy feed could be used to make ethanol. In the next 4–5 years, the production of ethanol will increase the need for hominid feed.
Similar to Quantified News Based Trading: Is it the next big thing in algorithmic trading? (20)
Complete Webinar Recording: https://www.quantinsti.com/chatgpt-machine-learning-trading-webinar-22-march-2023
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About the Session
This session covers the basics of ChatGPT and the need for machine learning in trading. Attendees will learn how to integrate ChatGPT and machine learning in trading, along with successful real-world examples. The session will also discuss potential challenges and risks. The session concludes with a Q&A session for participants to engage with the presenter.
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Session Outline
- Introduction
- Understanding ChatGPT
- Machine Learning in Trading
- Integration of ChatGPT and Machine Learning in Trading
- Challenges and Risks
- Interactive Q&A
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Pre-Requisites
There are no specific prerequisites for attending this webinar. However, a basic understanding of trading and machine learning concepts would be helpful.
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About the Speaker
Varun Kumar Pothula (Quantitative Analyst at QuantInsti)
Varun holds a Masters degree in Financial Engineering. He has experience working as a trader, a global macro analyst, and also an algo trading strategist. Currently, working in the Content & Research Team at QuantInsti as a Quantitative Analyst, his contributions help in creating offerings for learners in the domain of algorithmic & quantitative trading.
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Useful Resources:
📈 Algo Trading with ChatGPT
https://blog.quantinsti.com/algorithmic-trading-chatgpt/
✅ Free Resources to Learn Algorithmic Trading
https://blog.quantinsti.com/free-resources-list-compilation-learn-algorithmic-trading/
📜 FREE courses | Quantra
https://quantra.quantinsti.com/
📄 Blogs and Tutorials
https://blog.quantinsti.com/
🎞️ Complete webinar recordings
https://blog.quantinsti.com/tag/webinars/
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This event was conducted on:
Wednesday, March 22, 2023
09:30 AM EST | 07:00 PM IST | 09:30 PM SGT
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Like and Follow us on:
Our Blog: https://blog.quantinsti.com/
Facebook @ https://www.facebook.com/quantinsti/
Twitter @ https://twitter.com/QuantInsti
LinkedIn @ https://www.linkedin.com/school/quantinsti/
Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
Introduction to Quantitative Factor InvestingQuantInsti
Complete Webinar Recording: https://blog.quantinsti.com/introduction-quantitative-factor-investing-webinar-28-february-2023/
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About the Session
This section covers the concept of factor investing and different types of factor investing strategies including a discussion of passive vs active investing and due diligence considerations. It also covers the application of quantitative methods such as mathematical modelling and data analysis for factor analysis.
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Session Outline
- What is Quantitative Factor Investing?
- Benefits of Factor Investing
- How Does Factor Investing Work?
- Common Quantitative Factor Investing Strategies
- Applications of Quantitative Factor Investing
- Key Considerations for Quantitative Factor Investing
- Interactive Q&A
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Pre-Requisites
Basic familiarity with investment and trading terminology.
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About the Speaker
Varun Kumar Pothula (Quantitative Analyst at QuantInsti)
Varun holds a Masters degree in Financial Engineering. He has experience working as a trader, a global macro analyst, and also an algo trading strategist. Currently, working in the Content & Research Team at QuantInsti as a Quantitative Analyst, his contributions help in creating offerings for learners in the domain of algorithmic & quantitative trading.
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✅ Free Resources to Learn Algorithmic Trading
https://blog.quantinsti.com/free-resources-list-compilation-learn-algorithmic-trading/
📄 Blogs and Tutorials
https://blog.quantinsti.com/
🎞️ Complete webinar recordings
https://blog.quantinsti.com/tag/webinars/
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This event was conducted on:
Tuesday, February 28, 2023
8:30 AM EST | 7:00 PM IST | 9:30 PM SGT
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Like and Follow us on:
Our Blog: https://blog.quantinsti.com/
Facebook @ https://www.facebook.com/quantinsti/
Twitter @ https://twitter.com/QuantInsti
LinkedIn @ https://www.linkedin.com/school/quantinsti/
Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
Complete Webinar Recording: https://blog.quantinsti.com/machine-learning-options-trading-webinar-19-january-2023/
This session explains the application of machine learning techniques for options trading. It also covers the process of creating options trading strategies using machine learning.
Overview:
- Need for ML in options trading
- ML for options pricing
- Trading vertical spreads with ML
- Options Trading with Ensemble Classifier
- Forecasting and trading Implied Volatility with ML Regressor
- Predicting The Returns of an Options Strategy using ML
- Predicting The Options Strategy to Deploy using ML
- Interactive Q&A
Pre-Requisites:
- Basic options nomenclature
- Basic options trading strategies
- Machine learning models
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Speaker: Varun Kumar Pothula (Quantitative Analyst at QuantInsti)
Varun holds a Master's degree in Financial Engineering. He has experience working as a trader, a global macro analyst, and also an algo trading strategist. Currently, working in the Content & Research Team at QuantInsti as a Quantitative Analyst, his contributions help in creating offerings for learners in the domain of algorithmic & quantitative trading.
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𝗨𝘀𝗲𝗳𝘂𝗹 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
👨🎓 Machine Learning for Options Trading | FULL Course
https://quantra.quantinsti.com/course/machine-learning-options-trading
👨🎓 Learning Track | Machine Learning & Deep Learning in Trading - I
https://quantra.quantinsti.com/learning-track/machine-learning-deep-learning-trading-1
👨🎓 Learning Track | Machine Learning & Deep Learning in Trading - II
https://quantra.quantinsti.com/learning-track/machine-learning-deep-learning-trading-2
💡 Machine Learning Basics | A guide
https://blog.quantinsti.com/machine-learning-basics/
💡 Basics of Options Trading | Explained
https://blog.quantinsti.com/basics-options-trading/
📜 FREE course | Introduction to Machine Learning for Trading
https://quantra.quantinsti.com/course/introduction-to-machine-learning-for-trading
📜 FREE course | Python for Machine Learning in Finance
https://quantra.quantinsti.com/course/python-machine-learning
✅ Free Resources to Learn Algorithmic Trading
https://blog.quantinsti.com/free-resources-list-compilation-learn-algorithmic-trading/
📄 Blogs and Tutorials
https://blog.quantinsti.com/
🎞️ Complete webinar recordings
https://blog.quantinsti.com/tag/webinars/
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This event was conducted on:
Thursday, 19th Jan. 2023
8:30 AM ET | 7:00 PM IST | 9:30 PM SGT
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Like and Follow us on:
Our Blog: https://blog.quantinsti.com/
Facebook @ https://www.facebook.com/quantinsti/
Twitter @ https://twitter.com/QuantInsti
LinkedIn @ https://www.linkedin.com/school/quantinsti/
Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
Portfolio Assets Allocation with Machine LearningQuantInsti
As is often the case, Machine Learning (ML) techniques outperform traditional ones when allocating weights to different assets. The idea of this project "Portfolio Assets Allocation: A practical and scalable framework for Machine Learning Development" is to design a market neutral (long/short) portfolio of assets to be rebalanced periodically choosing different assets during every rebalance and evaluate different portfolio techniques such as:
- Equal Weighted Portfolio (EWP),
- Inverse Volatility Portfolio (IVP),
- Hierarchical Risk Parity (HRP), and
- Hierarchical Equal Risk Contribution (HERC).
COMPLETE WEBINAR RECORDING: https://blog.quantinsti.com/portfolio-assets-allocation-optimization-dividend-stocks-epat-projects-13-december-2022/
COMPLETE PROJECT (with downloadable data files):
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About the Author
Raimondo Marino is a professional freelance working as an Artificial intelligence Engineer for Italian Small and Medium Companies. Through AI applications, he comes up with end to end solutions (from Development to Production using cloud services) for different corporate functions within a company: Marketing, HR, Sales, Production, etc.
He is also a passionate quant-trader who believes in the efficacy of combining Machine Learning techniques with Statistics and Probability to design superior trading systems.
He holds a M.Sc. in Electronic Engineering from the University of Naples (Italy), an Executive MBA from SDA Bocconi of Milan (Italy) and a Postgraduate in Machine Learning and Artificial Intelligence from Columbia Business Executive Education (USA).
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Link to our Blog: https://blog.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/
Follow us on Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
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#portfolio #trading #machine #portfolioallocation #stockmarket #ML
COMPLETE WEBINAR RECORDING: https://blog.quantinsti.com/introduction-price-action-trading-webinar-18-october-2022/
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This session introduces you to the skill of trading without using technical indicators by understanding the price behaviour.
It covers several important price action trading tools such as supply and demand analysis, patterns, pivot points, etc.
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Overview:
- Need for price action trading
- Fundamentals of price action trading
- Tools of price action trading
- Backtesting and evaluating price action trading strategies
- Automating price action trading
- Interactive Q&A
---------------------------------------------About the Speaker:
Varun Kumar Pothula (Quantitative Analyst at QuantInsti)
Varun holds a Masters degree in Financial Engineering. He has experience working as a trader, a global macro analyst, and also an algo trading strategist.
Currently, working in the Content & Research Team at QuantInsti as a Quantitative Analyst, his contributions help in creating offerings for learners in the domain of algorithmic & quantitative trading.
---------------------------------------------
Link to our Blog: https://blog.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/
Follow us on Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
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#priceaction #priceactiontrading #technicalanalysis #chart #chartpatterns #pivotpoints #technicalindicators
Introduction to Systematic Options TradingQuantInsti
WATCH the complete webinar recording: https://blog.quantinsti.com/systematic-options-trading-webinar-18-august-2022/
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About the Session:
Are you someone looking to start your options trading journey but are not sure of the process to do so? This is a must-attend webinar for you to get answers to all your queries. Whether you are curious about a specific component or the whole of the systematic options trading process, this webinar will provide you with insights into all of it.
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Session Outline:
- Need for systematic options trading
- A brief overview of the process
- Common do’s and don’ts while trading options
- Interactive questions and answers
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About the Speaker:
Akshay Choudhary (Quantitative Analyst, QuantInsti)
Akshay holds a bachelor's degree from IIT Kanpur. He works as a Quantitative Analyst in the Quantra Research and Content Team at QuantInsti. Prior to that, he worked as a Data Scientist with Jio. He likes to trade options and read about market psychology.
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𝗨𝘀𝗲𝗳𝘂𝗹 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
📑 Course on Price Action Trading: https://quantra.quantinsti.com/course/price-action-trading-strategies
💡 Free Resources to Learn Algorithmic Trading: https://blog.quantinsti.com/free-resources-list-compilation-learn-algorithmic-trading/
🎞️ Complete webinar recordings: https://blog.quantinsti.com/tag/webinars/
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Link to our Blog: https://blog.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/
Follow us on Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
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Competitive Edges in Algorithmic TradingQuantInsti
WATCH the complete webinar recording: https://blog.quantinsti.com/competitive-edges-algorithmic-trading-21-june-2022/
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About the Session
Are you trading as an individual/retail trader or as an institution? Regardless, trading is like any other business, you need to be better at something to stay ahead of your competition.
Similarly, your competition may also have certain competitive edges over you. It is important to understand these competitive edges and prepare yourself to successfully compete with others.
- What are the edges and why does your trading setup need them?
- Different types of strategies & trading setups.
- How to identify & build competitive edges in the world of investments and trading?
- Applicability in the individual/retail domain versus institutional domain.
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About the Speaker
Nitesh Khandelwal
(Co-Founder & CEO at QuantInsti, and Co-Founder & Partner at iRage)
Nitesh started his career in the Banking sector on the treasury side. After a brief stint in a proprietary trading firm as a lead, he co-founded iRage in 2009. In his capacity as the business lead of iRage, iRage went on to become one of the leading players in the Algorithmic Trading space in India.
In 2016, he moved his focus to QuantInsti, an institute that he co-founded in 2010 as part of iRage, as its CEO. Under his leadership, QuantInsti has expanded to 100+ team & faculty members, to help its audience from 190+ countries grow in this domain through its unique learning & financial application-based ecosystem for individuals, as well as for businesses & institutions through its SaaS platform offerings.
Nitesh holds an Electrical Engineering degree from IIT Kanpur with a postgraduate degree in Management from IIM Lucknow.
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𝗨𝘀𝗲𝗳𝘂𝗹 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
💡 Free Resources to Learn Algorithmic Trading: https://blog.quantinsti.com/free-resources-list-compilation-learn-algorithmic-trading/
📄 Blogs and Tutorials: https://blog.quantinsti.com/
🎞️ Complete webinar recordings: https://blog.quantinsti.com/tag/webinars/
👨🎓 Algo Trading Success Stories: https://blog.quantinsti.com/tag/success-stories
🎙️ Podcasts: https://blog.quantinsti.com/tag/podcasts/
📑 Algo Trading Projects: https://blog.quantinsti.com/tag/epat-trading-projects/
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Link to our Blog: https://blog.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/
Follow us on Instagram @ https://www.instagram.com/quantinstian/
E-mail us @ sales@quantinsti.com
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#algorithmictrading #automatedtrading #quantinstiwebinar
Volatility Trading: Trading The Fear Index VIXQuantInsti
Complete webinar recording: https://blog.quantinsti.com/volatility-trading-vix-10-may-2022/
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About the Session
The markets are highly volatile! The fear index is creeping up and traders are alarmed!
You must have seen statements like this before. But what exactly is the fear index? Can you quantify fear?
The fear index is the name given to the VIX. And it gives us a glimpse of the expected market volatility. Yes, just like we try to gauge the volatility of an asset, the VIX helps us understand the volatility of the market.
But like an index, the VIX cannot be traded. So there are different products based on VIX which can help you to make a trade based on your expectation of the market volatility.
And the VIX is not just for equities, there are corresponding VIX for different asset classes as well. And geographies.
The session outline is as follows:
- Brief on volatility
- Why is VIX called the fear index
- Different types of VIX
- VIX based derivatives
- A simple strategy to trade VIX
- Q&A
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Complete webinar recording: https://blog.quantinsti.com/volatility-trading-vix-10-may-2022/
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About the Speaker
Rekhit Pachanekar first completed his engineering in Computers and went on to complete his PGDM from IIM Indore. He researches equities and fixed-income securities as a part of the content team at Quantra. Away from work, he likes to read up on the outliers in the market and follows Tesla Inc. with keen interest.
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This event was conducted on:
Tuesday, May 10, 2022, 9:30 AM ET | 7:00 PM IST | 9:30 PM SGT
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Link to our Blog: https://blog.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/
Follow us on Instagram @ https://www.instagram.com/quantinstian
Big Data And The Future Of Retail InvestingQuantInsti
Complete webinar recording: https://blog.quantinsti.com/big-data-future-trading-26-april-2022/
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About the Session
Financial markets generate enormous amounts of data each day. In this webinar, the speaker will discuss the importance of working with it in the context of investing and trading. He will also set forth on how we can harness it to suit different investment styles. In the process, he will cover how you can cultivate the knowledge and skills needed to thrive and prosper in this field.
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Speaker
Vivek teaches participants data analysis, building quant strategies and time series analysis using Python. He has over 15 years of experience across India, Singapore and Canada in industry, academia and research.
He is the co-author of the books, “Python Basics: With illustrations from the financial markets (2019)” and “A rough-and-ready guide to algorithmic trading (2020)”
He has a Bachelor's in Electronics & Telecom Engineering from VESIT (Mumbai University), and an MBA from NTU Singapore.
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This event was conducted on:
Tuesday, April 26, 2022
9:30 AM ET | 7:00 PM IST | 9:30 PM SGT
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Link to our Blog: https://blog.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/
Follow us on Instagram @ https://www.instagram.com/quantinstian
Backtest of Short Straddles on SPX IndexQuantInsti
Complete webinar recording: https://blog.quantinsti.com/algo-trading-epat-projects-12-april-2022/
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About the Presentation:
There are numerous studies that talk about mechanically selling option straddles and/or strangles on stock indices like the SPX, NIFTY, BANKNIFTY etc. It’s deemed to be profitable in the long run due to a persistent market risk premium called ‘variance risk premium’.
This exists because of an overpricing of implied volatility above the actual realized volatility of the index. Market participants overpay for options due to fear/uncertainty hence index options are usually overpriced. During normal market regimes, options with a longer expiry are priced at higher vols than near term expiries.
This is a simple strategy of mechanically selling 45-60 day straddles every week on the SPY ETF and delta hedging once a day. For the avoidance of doubt, a straddle is an option position where one sells the At The Money Call and Put option together for a net credit into the account.
It works when the underlying exhibits lower volatility than initially priced by the options sold. In simpler terms, it works when the underlying doesn’t move around too far and too much from the chosen ATM strike at the initiation.
The profit is roughly the difference between Implied Volatility at initiation and Realized Volatility at cessation, multiplied by the straddle’s vega exposure.
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Speaker:
Siddharth Bhatia (Executive Director, Third Group FZ LLC, UAE)
Siddharth has been working since 2006 initially in Mumbai and currently in Dubai, with specific trading experience since 2011. Starting off as a trader for a local UAE prop firm active in US and EU bond futures, he has experience in scalping and spread trading futures.
He then moved on to trading at a prestigious family office and managed a volatility trading book active in options on global indices and futures. He then worked for a wealth management firm and oversaw pricing and trading structured products and various protected/ tail risk strategies for the firm’s clients. Here he also looked after portfolio management of a complex book containing structured products and funds.
Starting off on his own in 2018, he founded a proprietary trading and investment research firm called Third Group.
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This event was conducted on:
Tuesday, April 12, 2022
9:30 AM ET | 7:00 PM IST | 9:30 PM SGT
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Link to our Blog: https://blog.quantinsti.com/
Like us on Facebook @ https://www.facebook.com/quantinsti/
Follow us on Twitter @ https://twitter.com/QuantInsti
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Follow us on Instagram @ https://www.instagram.com/quantinstia
Pairs Trading In the Brazilian Stock MarketQuantInsti
Complete webinar recording: https://blog.quantinsti.com/algo-trading-epat-projects-12-april-2022/
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About the Presentation:
This project models a Statistical Arbitrage pair trading strategy to Brazil’s B3 (former Bovespa) stock market exchange. We run our strategy on two distinct time intervals.
From 1-Jan-2009 to 31-Dec-2014 and from 1-Jan-2018 to 30-Apr-2021. As we only had current sector distribution available, the results for the former period clearly suffered from survivorship bias.
Stock sector classification was downloaded directly from Brazil’s B3 stock market exchange. From all sectors, we considered only the ones with five or more stocks, namely: oil, metal, steel, paper, transp_material, machines, rail_roads, highways, storage, services, agriculture, meat, food, construction, fabric, clothes_shoes, education, car_rental, retail, hospitals, drugstores, it, telecom, electricity, water, banking, financial_services, insurance and real_estate.
Results were very encouraging, though did not consider transaction fees or slippage costs. All calculations were done based on daily close prices.
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Speaker:
Dr. Luiz Guedes (Head of Quantitative Analysis at Occam Brasil)
Dr Luiz Guedes has over 30 years of experience in his career in software development, specifically in the payment card industry. In addition, he is a faculty member at the Instituto Militar de Engenharia – IME, where he teaches Compilers and Programming Languages.
As a software developer and innovator, Dr Guedes has extensively used the Innovative Problem Solving approach to write software for constrained systems and secure electronic transactions, particularly on the development of programming and execution environments, cryptographic algorithms and security communication protocols.
In July 2021, one month after concluding QuantInsti's EPAT programme, he started a new position as Head of Quantitative Analysis at Occam Brasil, where he has just been invited to become a Partner.
Dr Guedes holds a doctor’s degree in computer science from the Pontifícia Universidade Católica do Rio de Janeiro – PUC/RIO, a master’s degree in computer systems and a computer engineer degree, both from IME. Additionally, he acquired an MBA in business from the Fundação Getúlio Vargas – FGV.
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This event was conducted on:
Tuesday, April 12, 2022
9:30 AM ET | 7:00 PM IST | 9:30 PM SGT
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Link to our Blog: https://blog.quantinsti.com/
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Complete recording: https://blog.quantinsti.com/how-to-set-up-automated-trading-17-march-2022/
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Automation is everywhere! We live in a world where you can obtain certain products which are manufactured without human supervision. Automation is transforming entire industries, and will the trading world be left behind?
Join us in this interesting session where we discuss the trading process and how we can automate certain tasks to maximise our efficiency. We will also provide a glimpse on how you could automate your trading strategy as well.
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The session outline is as follows:
- What is automation?
- Need for automation
- The process of Trading
- Automation in various aspects of trading process
- Creating a simple rule-based strategy
- Automating a simple trading strategy
- Q&A
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About Presenter -
Rekhit Pachanekar first completed his engineering in Computers and went on to complete his PGDM from IIM Indore. He researches equities and fixed-income securities as a part of the content team at Quantra. Away from work, he likes to read up on the outliers in the market and follows Tesla Inc. with keen interest.
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This event was conducted on:
Thursday, March 17, 2022 8:30 AM ET | 7:00 PM IST | 9:30 PM SGT
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Link to our Blog: https://blog.quantinsti.com/
Like us on Facebook @ https://www.facebook.com/quantinsti/
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E-mail us @ sales@quantinsti.com
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UPDATED PPT - https://www.slideshare.net/QuantInsti/how-to-set-up-automated-trading-251497216
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Complete recording: https://blog.quantinsti.com/how-to-set-up-automated-trading-17-march-2022/
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Automation is everywhere! We live in a world where you can obtain certain products which are manufactured without human supervision. Automation is transforming entire industries, and will the trading world be left behind?
Join us in this interesting session where we discuss the trading process and how we can automate certain tasks to maximise our efficiency. We will also provide a glimpse on how you could automate your trading strategy as well.
---------------------------------------------------------------------------------
The session outline is as follows:
- What is automation?
- Need for automation
- The process of Trading
- Automation in various aspects of trading process
- Creating a simple rule-based strategy
- Automating a simple trading strategy
- Q&A
---------------------------------------------------------------------------------
About Presenter -
Rekhit Pachanekar first completed his engineering in Computers and went on to complete his PGDM from IIM Indore. He researches equities and fixed-income securities as a part of the content team at Quantra. Away from work, he likes to read up on the outliers in the market and follows Tesla Inc. with keen interest.
---------------------------------------------------------------------------------
This event was conducted on:
Thursday, March 17, 2022 8:30 AM ET | 7:00 PM IST | 9:30 PM SGT
---------------------------------------------------------------------------------
Link to our Blog: https://blog.quantinsti.com/
Like us on Facebook @ https://www.facebook.com/quantinsti/
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E-mail us @ sales@quantinsti.com
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Quantitative Data Analysis of CryptocurrenciesQuantInsti
The code and the complete webinar recording of the webinar can be found here: https://blog.quantinsti.com/quantitative-data-analysis-cryptocurrencies-24-february-2022/
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About the Session:
There has been a lot of buzz about crypto these days. If the chatter has got you curious, keep reading.
In this webinar, the speaker will,
- Explore what cryptocurrencies are,
- Touch upon the top cryptocurrencies these days,
- How and where to fetch the data for cryptocurrencies, and
- Where you can trade cryptocurrencies
- She will also analyze historical crypto data and look at different types of crypto trading strategies.
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About the Presenter:
Udisha works as a Quant Researcher at QuantInsti. Prior to this, she has worked as a software developer with leading tech companies. She is passionate about coding and the financial markets. Her professional areas of interest are to use machine learning techniques in backtesting and live trading.
She has written articles on Blockchain, Bitcoin, Ethereum and Ripple. As you can probably tell, she can’t get enough of them cryptocurrencies!
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Link to our Blog: https://blog.quantinsti.com/
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E-mail us @ sales@quantinsti.com
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Introduction to Quantitative Trading - Investment Management Club of Yale Uni...QuantInsti
The link to the complete webinar recording is on the last slide of the slide deck.
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About the Session
This is a 60-min session that introduces you to the world of quantitative trading. It covers the components of quantitative trading and explains the process of creating quantitative trading algorithms with code examples in a step-wise manner. In addition to this, the session also covers the evaluation of the quantitative trading algorithms and deploying them live using Blueshift.
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Session Outline
- What is quantitative trading?
- How to create a quantitative trading strategy?
- The complete process of the quantitative trading system
- Examples of quantitative trading strategies with code
- Backtesting and deployment of quantitative strategies using Blueshift
- Interactive Q&A
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Pre-Requisite And Learning Material Links
- Finish a free self-learning course: Python for Trading - Basic (https://quantra.quantinsti.com/course/python-trading-basic)
- Signup on Blueshift by QuantInsti (https://blueshift.quantinsti.com/)
- Suggested read: Algorithmic trading - A rough and ready guide (https://www.quantinsti.com/algo-trading-ebook)
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Speaker
Varun Kumar Pothula (Quantitative Analyst at QuantInsti)
Varun holds a Masters degree in Financial Engineering. He has experience working as a trader, a global macro analyst, and also an algo trading strategist. Currently, working in the Content & Research Team at QuantInsti as a Quantitative Analyst, his contributions help in creating offerings for learners in the domain of algorithmic & quantitative trading.
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Link to our Blog: https://blog.quantinsti.com/
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E-mail us @ sales@quantinsti.com
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How to automate an options day trading strategyQuantInsti
Complete code and webinar recording - https://blog.quantinsti.com/algo-trading-epat-projects-8-february-2022/
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The aim of the project is to automate a strategy as simple as an Intraday straddle/strangle which requires complex backtesting and quantitative analysis to ascertain statistical significance and quantitative edge in trading. Index options are back-tested for straddles and strangles with varying strike differences and stop losses using Python and Excel.
The Strategy involves shorting a Straddle or Strangle at a fixed time in the morning, placing a stop loss for both legs and squaring off all or remaining positions at a fixed time before market close.
No positions will be carried over as it is an Intraday strategy that helps in avoiding any big gaps in overnight positions. This strategy can be classified as both Non-Directional and Trend Following as it performs well in either case and it struggles only when the index is extremely choppy and moves in a zig-zag way hitting both stop losses.
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About the Presenter:
Ujjwal Agrawal (A Quantitative Trader and A Business Owner from India)
Ujjwal Agrawal is a CFA (Chartered Financial Analyst) Level 3 candidate and has a bachelor’s degree in Mechanical Engineering from Pune University. He is a business owner in the Agri Processing Industry in Odisha and has been trading in the Indian Markets for the past 4 years. Managing a business and trading full time becomes difficult at times and this led him towards automating his trading setups.
Completing the EPAT course and with the help of unconditional support from the QuantInsti team, Ujjwal has now completely automated his trading setups and devotes his full time towards his businesses.
His project “Intraday Straddles” was the first setup to be fully automated among many and now he researches and combines uncorrelated setups to generate decent returns with minimum drawdowns.
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Link to our Blog: https://blog.quantinsti.com/
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E-mail us @ sales@quantinsti.com
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Predict daily stock prices with random forest classifier, technical indicator...QuantInsti
Complete code and webinar recording - https://blog.quantinsti.com/algo-trading-epat-projects-8-february-2022/
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An interactive program to train a Random Forest Classifier to predict Tesla daily prices using technical indicators and sentiment scores of Twitter posts, backtesting the trading strategy and producing performance metrics.
The project leverages techniques, paradigms and data structures such as:
- Functional and Object-Oriented Programming
- Machine Learning
- Sentiment Analysis
- Concurrency and Parallel Processing
- Direct Acyclic Graph (D.A.G.)
- Data Pipeline
- Idempotence
The intention behind this project was to implement the end-to-end workflow of the backtesting of an Algorithmic Trading strategy in a program with a sleek interface, and with a level of automation such that the user is able to tailor the details of the strategy and the output of the program by entering a minimal amount of data, partly even in an interactive way.
This should make the program reusable, meaning that it's easy to carry out the backtesting of the trading strategy on a different asset. Furthermore, the modularity of the software design should facilitate changes to adapt the program to different requirements (i.e. different data or ML models).
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About the Presenter:
Renato Votto (A Data analyst from the United Kingdom)
Renato genuinely enjoys and thrives on developing software for automation, finding algorithmic solutions for complex problems and optimising programs. He possesses a quantitative edge and is proficient in Algorithmic Trading, Quant Development, Machine Learning, Data Engineering, Python, C++, and SQL.
Renato has a background in Energy Engineering and is an alumnus of the Executive Programme in Algorithmic Trading (EPAT). Before enrolling in EPAT, he had also completed Machine Learning and Data Engineering studies.
Currently working as an analyst at the Office For Gas and Electricity Markets (OFGEM), he is mainly involved in the development of software and tools for quantitative analysis and systematic identification of market manipulation.
He is a Cryptocurrencies enthusiast, an avid rock and roll listener, loves to code, a mediocre guitar strummer, and when he is outdoors you might find him taking weird photographs.
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Link to our Blog: https://blog.quantinsti.com/
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E-mail us @ sales@quantinsti.com
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How Pandemics Impact the Financial Markets - A Quantitative AnalysisQuantInsti
The COVID-19 pandemic has affected stock markets globally. In this webinar, we will take cues from the pandemics in the past and quantitatively analyze the impact on financial markets. You will also learn to visualize and analyze the data in Python.
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What will it cover?
- Walkthrough past pandemics and series of events
- Quantitatively analyzing the impact on financial markets during past pandemics
- Hands-on Python code to plot the index, sector and stock performances
- Sectors returns that are most and least impacted during pandemics
- Comparison with COVID-19 pandemics sector performance
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What will you learn?
- Analyze and compare the stock market performance in past pandemics
- Data visualization in Python
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Who should attend?
- Researchers
- Students
- Programmers
- Traders
- Analysts
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About the speaker:
Ishan Shah (AVP, Content & Research at QuantInsti)
Ishan Shah leads the content & research team at Quantra by QuantInsti, as it's Asst. Vice President. Prior to that, he worked with Barclays in the Global Markets team & with Bank of America Merrill Lynch. He has a rich experience in financial markets spanning across various asset classes in different roles.
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Most useful links:
Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
-----------------------------------------
Like and Follow us on:
Facebook: https://www.facebook.com/quantinsti/
Twitter: https://twitter.com/QuantInsti
LinkedIn: https://www.linkedin.com/company/quantinsti
Instagram: https://www.instagram.com/quantinstian/
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Masterclass: Natural Language Processing in Trading with Terry Benzschawel & ...QuantInsti
Terry Benzschawel (Founder and Principal at Benzschawel Scientific, LLC) and Ishan Shah (AVP, Content & Research at QuantInsti) helm this Masterclass about Natural Language Processing in Trading.
In this session, Terry and Ishan discuss:
- How is Natural Language Processing applied in financial markets?
- Calculating Daily Sentiment Score on Quantra learning portal
- Compare different word embedding methods with their pros and cons
- How does Quantra learning portal provide a unique learning experience?
Summary:
This introductory webinar describes the use of Natural Language Processing (NLP) techniques in the context of building trading strategies for 1-day horizons for the corporate bond market and equities markets using news headlines.
We described various methods for converting text into digital representations and for extracting sentiment scores from those embeddings.
Looking ahead to the course, we find that approaches using the latest advances in NLP are better suited to predict future returns in credit indices, by using news headlines directly as inputs, instead of news headline sentiments
About us:
Quantra is an online education portal that specializes in Algorithmic and Quantitative trading. Quantra offers various bite-sized, self-paced and interactive courses that are perfect for busy professionals, seeking implementable knowledge in this domain.
Useful links and some bonus content:
[Blog] Step By Step Guide - http://bit.ly/StepByStepGuideNLP
[Course] Natural Language Processing in Trading - http://bit.ly/QuantraNLPT
[Courses] All Quantra courses - http://bit.ly/AllQuantraCourses
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
Backtesting And Live Trading With Interactive Brokers Using Python With Dr. H...QuantInsti
For the Webinar video, you can also visit: https://blog.quantinsti.com/ibridgepy-webinar-14-november-2019/
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Session Outline:
- IBridgePy installation
- A simple algorithmic trading strategy, daily close reverse
- Go through the code and basic functions used in this strategy
- Backtest strategy using historical data from IB in IBridgePy
- Backtest strategy using historical data from local csv file
- How to live trade a strategy
- Place orders to multiple accounts
- Analyze trading results from a strategy
Speaker Profile:
Dr. Hui Liu - Faculty, Executive Programme in Algorithmic Trading by QuantInsti
He is the author of IBridgePy (open-sourced software to trade with Interactive Brokers) and founder of Running River Investment LLC. His major trading interests are US equities and Forex market. Running River Investment LLC is a private hedge fund specialized in the development of automated trading strategies using Python.
He obtained his bachelor degree and master degree in materials science and engineering from Tsinghua University, China and Ph.D from University of Virginia, U.S.A. His MBA was from Indiana University, U.S.A and his study interest at Indiana was quantitative analysis.
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For the Webinar video, you can also visit: https://blog.quantinsti.com/ibridgepy-webinar-14-november-2019/
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Learn more about our EPAT® course here: https://www.quantinsti.com/epat/
OR Visit us at: https://www.quantinsti.com/
Like and Follow us on:
Facebook: https://www.facebook.com/quantinsti/
LinkedIn: https://www.linkedin.com/company/quantinsti
Twitter: https://twitter.com/QuantInsti
Exploring Abhay Bhutada’s Views After Poonawalla Fincorp’s Collaboration With...beulahfernandes8
The financial landscape in India has witnessed a significant development with the recent collaboration between Poonawalla Fincorp and IndusInd Bank.
The launch of the co-branded credit card, the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card, marks a major milestone for both entities.
This strategic move aims to redefine and elevate the banking experience for customers.
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247