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Quantra
Course on Technical Indicators Strategies in Python: https://quantra.quantinsti.com/course/technical-indicators-strategies-python Welcome to this video on why technical analysis gets a bad reputation. After completing this video, you will understand when technical analysis fails. And how to overcome the limitations of technical analysis. John wants to start trading and has heard that technical analysis can help him earn profits in trading. He meets his friend Sophie, who has been trading for a few years. John: Sophie, I want to buy stocks based on technical analysis. Sophie: That's great. John: But I'm confused. Some say that technical analysis is a miracle worker, and you can earn lots of profit using technical analysis. But on the other hand, some say that technical analysis doesn't work. Sophie: Actually, both are sort of right. John: How's that possible? Sophie: No method or analysis is perfect. There are times when technical analysis fails too. John: When does technical analysis fail? Sophie: Broadly speaking, there are two reasons. The first is the external factors which affect the stock. From 2019 to 20th February 2022, Apple’s price was on an upward trend. You know that technical indicators look at past price data. Most technical indicators would have given a buy signal at this point. But then the covid-19 pandemic was declared, and Apple’s stock price, along with the broad market index, crashed. If there's any unexpected event, we don’t know if technical analysis wil
https://www.youtube.com/watch?v=x-vWFURGYJ8
2022/09/26
7
0
Bullish Marubozu | Candlestick Patterns
Open
Quantra
Course on Candlestick Patterns based Automated Trading: https://quantra.quantinsti.com/course/candlestick-patterns-automated-trading Welcome to this video on the bullish Marubozu. In this video, you will learn more about a trending bullish candlestick pattern named bullish Marubozu and interpret the rationale behind the pattern. On your screen right now there is one candlestick. It's a green candlestick. Just to refresh your memory this becomes the open this becomes the close. And since there are no wicks over here the open also becomes the low of the day and the close also becomes the high of the day. How would you interpret this candle? For that let's think about how the candle was formed. Given this is our open and this is the close the price started from here. The price went up in the day. There must have been some sort of small correction. But in general the prices would have kept going up. Again there must have been some corrections. The correction may or may not have broken the previous low. However, whenever the price went up it broke the previous high. This continued till day end till the closing price. One thing you need to note over here is the price never went below the open and closed at the high of the day. That is the open became the low and the close became the high. This is how you actually got a candle that does not have any kind of wicks. Now can you tell me what this candle signifies? Clearly, it signifies extreme bullishness in the market as the price kep
https://www.youtube.com/watch?v=6iaC2jYcMOE
2022/09/26
4
5
The Model Fingerprint
Open
Hudson & Thames
Join the reading group: https://hudsonthames.org/reading-group/ The first lecture from the Hudson and Thames Reading Group, focuses on a model interpretability algorithm known as the model fingerprint, first published in the Journal of Financial Data Science. The algorithm decomposes model predictions into linear, nonlinear, and interaction components and studies a model’s predictive efficacy using the same components. Together, this forms a fingerprint to summarize key characteristics, similarities, and differences among different models.
https://www.youtube.com/watch?v=bLN9WzPU_zg
2022/09/26
7
0
Should You Take Data Science Classes for Quant Finance?
Open
Dimitri Bianco
Should you take a data science or machine learning course if you intend on working in quantitative finance? Yes! But there is something to be aware of. I would recommend taking a probability and statistics course before you take any machine learning or data science. The foundation of machine learning is traditional statistics (ML is just a sub area of statistics). By taking some basic statistics and probability courses you'll better understand what problems you are trying to solve and the weaknesses of the different methods. CMU Data Scientists in Quant Finance Panel https://apply.mscf.cmu.edu/register/f23dsml Free ML Resources: https://www.fancyquantnation.com/free Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=P0v6fqMhfTw
2022/09/25
20
5
MCX Certification Process! Get certified by MCX and QuantInsti through Quantra!
Open
Quantra
The Multi Commodity Exchange of India Limited (MCX), India’s first listed exchange, is a state-of-the-art, commodity derivatives exchange that facilitates online trading of commodity derivatives transactions, thereby providing a platform for price discovery and risk management. The Exchange, which started operations in November 2003, operates under the regulatory framework of Securities and Exchange Board of India (SEBI). Since 2010, QuantInsti has been helping traders across the world with their journey in Quantitative & Algorithmic Trading. With products such as EPAT, Quantra, Blueshift, and CSAF, QuantInsti has been educating as well as assisting users taking their backtested trading strategy ideas live. With this course, you will be able to understand concepts as well as practice them in a live trading environment. Go algo! Welcome to this video on the certification process. Student 1: I’ve almost completed the course. Student 2: Great! Have you taken the exam yet? Student 1: No. Why do I need to take an exam? Student 2: You need to take the final assessment exam to receive the Certificate of Achievement. The “Certificate of Achievement” is a joint certification from MCX and QuantInsti. Student 1: Oh. So, can you tell me more about the exam? Student 2: It is a 30-minutes exam and it can be taken online. You will be provided the exam link after you complete 90% of the course content on Quantra portal. Keep in mind that you are allowed only one attempt to pass the exam. Stu
https://www.youtube.com/watch?v=XGbdzqQRZOs
2022/09/23
12
0
Quantra anniversary sale trailer. #algorithmictrading #sale #stockmarket
Open
Quantra
It’s our 12th Anniversary! We celebrate and you SAVE! Offers beyond your expectations on Quantra Courses! FLAT 75% DISCOUNT on all QUANTRA COURSES! ADDITIONAL 12% OFF on for LEARNING TRACKS! The Sale is Now LIVE! Limited offer period from 21st September to 2nd October! Hurry up! Click on the Link: http://bit.ly/GoQuantra . . . . 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. 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
https://www.youtube.com/watch?v=GzVBWmHzlK0
2022/09/22
3
0
TS-10: Validation methods for time series
Open
Abhishek Thakur
Notebook: https://www.kaggle.com/code/konradb/ts-10-validation-methods-for-time-series Every ML practitioner knows that validation matters: while it is common knowledge for classification and regression models, time series models have received less attention on that front. In this episode we will walk through different manners of assessing performance of time series models without breaking the arrow of time.
https://www.youtube.com/watch?v=47WeBiLV2Uo
2022/09/21
456
5
The Value of Gender Diversity in Banking and Bank Treasury
Open
Quants Hub & BTRM
Inclusion and diversity aren't mere platitudes, ensuring gender diversity brings genuine practical benefits to the entire institution, from top to bottom - so it's only ever a "good thing". Moorad Choudhry discusses this vital topic with three members of the BTRM Faculty, Miranda Love, Beata Lubinska and Natasha Bourne. As our faculty members observe, a diverse team ensures diversity of thought, and their concluding recommendation is: do your work with passion! 0:00 Intro 2:50 The benefits of a diverse workforce 6:00 The benefits of gender diversity for banks 9:30 How banks can improve gender diversity 14:14 Preventing diversity lip service 18:50 Advice for women starting their careers
https://www.youtube.com/watch?v=L9nJajVJqw8
2022/09/20
10
0
The Peter Carr Memorial Conference
Open
NYU Tandon School of Engineering
The Peter Carr Memorial Conference honored the life and career of Peter Carr, our beloved teacher, scholar, and colleague. Through the sharing of research that spans various domains and disciplines, this conference aims to memorialize Peter, his contributions to financial engineering, and the legacy he’s left behind for generations of professionals and academics to extend and follow. This conference was co-hosted at NYU’s Brooklyn Campus by the Tandon School of Engineering and the Society of Quantitative Analysts (SQA), where Peter served as chair and director, respectively. https://wp.nyu.edu/peter_carr_memorial_conference/
https://www.youtube.com/watch?v=0VlHDyNK9zo
2022/09/19
3
0
Hierarchical PCA: Incorporate (fundamental) priors into PCA
Open
HKML
PCA is a useful tool for quant trading (stat arb) but in its naive implementation suffers from several forms of instabilities which yield to unnecessary turnover (trading cost...) and spurious trades. In order to regularize the model, several techniques are available. We will discuss one in particular: The Hierarchical PCA (HPCA). With HPCA, we modify the empirical correlation matrix such that it incorporates information from a prior (fundamental) hierarchical classification: For example, sectors and industries for stocks and bonds; protocols, layers and use cases for cryptos. We will illustrate this presentation with some basic python code and results comparing PCA and HPCA for stocks and cryptos.
https://www.youtube.com/watch?v=mTl5G80fEks
2022/09/19
0
0
Does Alt Data Give You an Edge
Open
Dimitri Bianco
Does alternative data give you an edge in trading? Yes! How much of an edge depends on how many other people have the same or similar data. Now is it ethical? That is really up to you to decide. I would argue that it is not a very ethical practice. Could a publicly traded company sell you internal data on their performance? No. So why should you be able to scrap or collect data on them? Should you be able to collect it and sell it to others? Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=fEeAzdW68DE
2022/09/18
5
5
TS-10: Validation methods for time series
Open
Abhishek Thakur
Notebook: https://www.kaggle.com/code/konradb/ts-10-validation-methods-for-time-series Every ML practitioner knows that validation matters: while it is common knowledge for classification and regression models, time series models have received less attention on that front. In this episode we will walk through different manners of assessing performance of time series models without breaking the arrow of time.
https://www.youtube.com/watch?v=47WeBiLV2Uo
2022/09/16
0
0
PyData | DIY Quantitative Stock Market Investing
Open
Yves Hilpisch
Level the playing field with institutional investors (https://bit.ly/pdb_diy). Learn about the retrieval of financial data from professional APIs, the application of Mean-Variance Portfolio theory as well as Risk Budgeting for the purposes of quantitatively building investment portfolios. This webinar was conducted in cooperation with PyData Botswana. The resources (link to slides, code) are found under https://bit.ly/pdb_diy.
https://www.youtube.com/watch?v=AwDGfTTb6DA
2022/09/16
8
5
Introducing David Vandivier, Executive Director of Georgetown's Psaros Center
Open
Georgetown McDonough
The Psaros Center for Financial Markets and Policy at Georgetown University’s McDonough School of Business is pleased to announce David Vandivier as the new executive director, which follows a transformational $11 million gift from Michael and Robin Psaros to establish the newly renamed Psaros Center as the preeminent destination for unbiased expertise at the intersection of finance and policy.
https://www.youtube.com/watch?v=D-clcGz8ORM
2022/09/14
3
0
Ciamac Moallemi (Columbia) - "Liquidity Provision and Automated Market Making"
Open
Cornell Financial Engineering Manhattan CFEM
Abstract: In recent years, automated market makers (AMMs) and, more specifically, constant function market makers (CFMMs) such as Uniswap, have emerged as the dominant mechanism for trading risky assets on blockchains. On the Ethereum blockchain, for example, such decentralized exchanges are the largest single "application category" implemented through smart contracts, as ranked by resource consumption. Compared to electronic limit order books (LOBs), which are the dominant market structure for traditional, centralized exchange-based electronic markets, CFMMs offer some advantages. First of all, they are efficient computationally. Thus, CFMMs are uniquely suited to the severely computation- and storage-constrained environment of the blockchain. Second, LOBs are not well-suited to a "long-tail" of illiquid assets. This is because they require the participation of active market markers. In contrast, CFMMs mainly rely on passive liquidity providers (LPs). We consider the market microstructure of CFMMs from the economic perspective of the liquidity providers. In a frictionless, continuous-time setting and in the absence of trading fees, we decompose the return of an LP into a instantaneous market risk component and a non-negative, non-decreasing, and predictable component which we call “loss-versus-rebalancing” (LVR, pronounced “lever”). Market risk can be fully hedged, but once eliminated, LVR remains as a running cost that must be offset by trading fee income in order for liqui
https://www.youtube.com/watch?v=SoB1gSmrSWM
2022/09/14
2
0
Swapping the Engine Out of a Moving Race Car with Ella Ehrlich
Open
Jane Street
Ella Ehrlich has been a developer at Jane Street for close to a decade. During much of that time, she’s worked on Gord, one of Jane Street’s oldest and most critical systems, which is responsible for normalizing and distributing the firm’s trading data. Ella and Ron talk about how to grow and modernize a legacy system without compromising uptime, why game developers are the “musicians of software,” and some of the work Jane Street has done to try to hire a more diverse set of software engineers. You can find the transcript for this episode and all past episodes at signalsandthreads.com.
https://www.youtube.com/watch?v=P974enLU6XE
2022/09/12
1
0
Recruiting and Coffee Details
Open
Dimitri Bianco
I will be in recruiting for junior quants at the University of Michigan, University of Chicago, Fordham University, and Rutgers! I will also be doing a coffee meetup in Chicago and NYC! Come meet me and hang out. I am happy to answer question or just chat about life. Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=IIYcNQMBvKg
2022/09/11
9
0
Certificate Programs in Python for Finance
Open
Yves Hilpisch
This is the Introduction & Overview session of the Certificate Programs cohort which started on 05. September 2022. Learn Python for Data Science, AI, Machine/Deep Learning, Finance, Algorithmic Trading, and Computational Finance. 16-week intensive online program & self-paced study options. Slides under https://bit.ly/cert_slides, code under https://bit.ly/cert_intro.
https://www.youtube.com/watch?v=E20MPyeOzwM
2022/09/09
6
0
ABFR Webinar with Markus Pelger and Amit Goyal
Open
AI & Big Data in Finance Research Forum
Deep Learning Statistical Arbitrage Presenter: Markus Pelger (Stanford University) Discussant: Amit Goyal (University of Lausanne and Swiss Finance Institute) Host: Serhiy Kozak (University of Maryland) Aug 25, 2022 12-1pm EST 00:00:00​​​ Welcome remarks 00:02:19 Presentation 00:36:25​​​ Discussion 00:53:37 Q&A ABFR is an interdisciplinary community of scholars with an interest in the methodology, applications, and socioeconomic implications of AI and big data for a wide range of areas in economics and finance. The forum organizes monthly presentations and discussions of papers by the leading world experts in the area, followed by an informal general post-seminar discussion. The virtual talks take place on the last Thursday of each month from 12-1pm EST. For more information about the seminar series, including registration, please visit our website: https://www.abfr-forum.org​​ ABFR is organized by Svetlana Bryzgalova, Lin William Cong, Maryam Farboodi, and Markus Pelger. It is also supported by The Advisory Committee, which includes Kay Giesecke, Gerald Hoberg, Wei Jiang, Bryan Kelly, Stefan Nagel, Andrew Patton, and Laura Veldkamp. ABFR hosting institutions are the Cornell FinTech Initiative and the Stanford AFTLab.
https://www.youtube.com/watch?v=IctV_MtPzzA
2022/09/08
0
0
TS-9: Hybrid methods for time series
Open
Abhishek Thakur
Code: https://www.kaggle.com/code/konradb/ts-9-hybrid-methods Abstract: Time series analysis has both vintage approaches (like ARIMA) and modern ones (LSTM). Over time, many people started mixing the two just to see what would happen - in this umbrella episode we will look at three examples of such hybrid models.
https://www.youtube.com/watch?v=NYZzBvKcfp4
2022/09/07
184
5
DIY Quantitative Stock Market Investing with Python
Open
YouTube
This talk illustrates the retrieval of financial data from professional APIs, the application of Mean-Variance Portfolio theory as well as Risk Budgeting for...
https://www.youtube.com/watch?v=MGewHGaUDBI
2022/09/05
Finance vs Quant: Credit Risk Example
Open
Dimitri Bianco
It is often hard to answer the question, "what is the difference between finance and quantitative finance?" There are a few reasons for this. 1) Difference in opinion on what a quant is and does. 2) Finance has adapted more technical approaches to keep up with quant finance 3) Finance/MBA/Business programs want to stay competitive do they blur the differences to keep job placement up and applications coming in. Today I give an example of credit scorecards. How they started historically and how quantitative finance has built on top of that idea. One key point here is that quant finance doesn't reinvent the wheel. They often just apply mathematical methods (such as statistics) to financial problems. The advances in computers has made it possible to use models such as logistic regression and GBM trees to determine the risk of a borrower. Statistical models help reduce biases that were seen in the past as underwriters could be face-to-face with the borrower and some personal judgement was typically used. Smaller banks still depend on individuals' "expertise" however the big banks have moved solely to using model with business expertise on score cut-offs (determining a risk preference for the firm). Websites on Credit Scores: https://www.myfico.com/credit-education/whats-in-your-credit-score https://www.capitalone.com/learn-grow/money-management/five-cs-of-credit/ Intelligent Credit Scoring by Naeem Siddiqi (affiliate link) https://read.amazon.com/kp/embed?asin=B01MU330A0&preview=
https://www.youtube.com/watch?v=b1bPNfhNf64
2022/09/04
1
5
Lecture 4. Asset Classes | Introduction to Mathematical Finance | A. Sokol
Open
CompatibL
Lecture 4 Other Asset Classes Credit – Credit Default Swaps Commodity – Spot and Forwards Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/
https://www.youtube.com/watch?v=ovMdcmiIiUw
2022/09/02
8
5
Lecture 3. Risk Management | Introduction to Mathematical Finance | A. Sokol
Open
CompatibL
Lecture 3 Risk Management Historical and Forward Looking Risk Models Market Risk – Value at Risk (VaR), Expected Shortfall (ES) Credit Risk – Issuer and Counterparty Exposure, Limits Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/
https://www.youtube.com/watch?v=9Z3pfHIHtLI
2022/09/02
7
5
Lecture 2. Derivatives and Valuation | Introduction to Mathematical Finance | A. Sokol
Open
CompatibL
Lecture 2 Derivatives and Valuation Equity Forwards and Options Interest Rate Deposits, FRAs, and Swaps Market Price of Risk Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/
https://www.youtube.com/watch?v=LLO1dtbhiHc
2022/09/02
9
5
Lecture 1. Securities and Models | Introduction to Mathematical Finance | A. Sokol
Open
CompatibL
Lecture 1 Securities and Models Operations of Financial Markets Equity Securities – Stocks Fixed Income Securities – Bonds Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/
https://www.youtube.com/watch?v=y2kXoW8Lj7k
2022/09/02
29
5
TS-9: Hybrid methods for time series
Open
Abhishek Thakur
Code: https://www.kaggle.com/code/konradb/ts-9-hybrid-methods Abstract: Time series analysis has both vintage approaches (like ARIMA) and modern ones (LSTM). Over time, many people started mixing the two just to see what would happen - in this umbrella episode we will look at three examples of such hybrid models.
https://www.youtube.com/watch?v=NYZzBvKcfp4
2022/09/01
0
0
Quiet Quitting: Good or Concerning?
Open
Dimitri Bianco
What is "quiet quitting" and why is everyone talking about it? There are really two differently defined perspectives on this issue. One side is saying, "hey, employees need a good work-life balance so quiet quitting is just doing what you are asked." While others are seeing it as "doing the bare minimum meaning just enough not to get fired." Both sides have merits and I think it is important to recognize there are good companies and bad companies. Some companies understand a work-lifer balance and provide good benefits while others are bad in the sense that they try and maximize every last hour out of their employees. Besides taking this issue at face value I think many are realizing they are unhappy with their careers in general. They might not enjoy the type of work, their colleagues, or the career lifestyle. It is important for people to really figure out if they need a simple company change or an entire career change. Some careers do require more hours than others and are more competitive. There is nothing wrong with finding a slow moving career. Now that being said, those that quietly quit should not expect good promotions and pay raises compared to other employees who are going above and beyond. Podcast version found on all major apps. Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=DsdaTsyGexI
2022/08/30
27
0
How to Become More Well Rounded
Open
Dimitri Bianco
The question was asked "how to become more well rounded?" I don't think there is a simple or correct way to become more well rounded but starting with first principles is how I like to approach it. If you can build out simple truths that you know and understand it can be easier to build more complex situations and ideas on top while remaining grounded. It is also important to stop and ask yourself why you do or do not agree with something. Sometimes it is easy to go with group think as it seems to fit your thinking or ideology however finding your root beliefs is a good way to explore ideas and come to a deeper meaning. Often I find myself in agreeance only to learn more about a topic and realize I was wrong. Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=eZbmL2tLUwU
2022/08/28
15
5
Enterprise Python Lecture 3: ODM and ORM
Open
CompatibL
An online course on Enterprise Software Development in Python by Alexander Sokol. Learn enterprise software development best practices for engineering quality software with Python. Lecture 3: ODM and ORM Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/ GitHub: https://github.com/compatibl/enterprise-python
https://www.youtube.com/watch?v=CjrlPbDuNcQ
2022/08/25
15
5
Enterprise Python Lecture 4: Queries, Rest API, and Web Apps
Open
CompatibL
An online course on Enterprise Software Development in Python by Alexander Sokol. Learn enterprise software development best practices for engineering quality software with Python. Lecture 4: Queries, Rest API, and Web Apps Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/ GitHub: https://github.com/compatibl/enterprise-python
https://www.youtube.com/watch?v=uTg1SWIoDXc
2022/08/25
6
5
Enterprise Python Lecture 2: Working with Complex Data
Open
CompatibL
An online course on Enterprise Software Development in Python by Alexander Sokol. Learn enterprise software development best practices for engineering quality software with Python. Lecture 2: Working with Complex Data Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/ GitHub: https://github.com/compatibl/enterprise-python
https://www.youtube.com/watch?v=odu5uPLyfkM
2022/08/25
11
5
Enterprise Python Lecture 1: Development Tools and Project Configuration
Open
CompatibL
An online course on Enterprise Software Development in Python by Alexander Sokol. Learn enterprise software development best practices for engineering quality software with Python. Lecture 1: Development Tools and Project Configuration Trading and Risk Management Solutions: https://www.compatibl.com/market-credit-risk/ About Alexander Sokol: https://www.compatibl.com/about-compatibl/ Work at CompatibL: https://www.compatibl.com/careers/ GitHub: https://github.com/compatibl/enterprise-python
https://www.youtube.com/watch?v=L5A6WII5hhQ
2022/08/25
28
5
Importance of Python in the future of Trading
Open
Quantra
Is Python the Future? Why is learning Python important? Python is a programming language with many advantages not just for developing applications but also for traders. It is versatile and can be used for backtesting, algorithmic trading, and building trading bots. This video entails the role and importance of Python in the future. It also explains why python is the most preferred programming language. What is the importance of python for the future? To answer this question I have this beautiful piece from Stack Overflow. Stack Overflow is for those who are coding and might be aware that it's a go-to platform if you're stuck with any coding problem and you will see the solution to most of the problems you are facing. There is a very detailed article you can read but as you can currently see here the python language is growing quite exponentially. The growth of the python language is measured in terms of the percentage of overall question views each month. Almost 10% of the questions are there on stack overflow, the people are looking at python and this has grown dramatically in the last 10 years. This data is only till 2018, we can see that there is a huge dramatic huge rise in the usage of python and even if you look at the forecast which is made by them they expect that the share of python will almost go up to 15%. There are a lot of reasons why python usage is rising. One of the reasons is as you would have noticed that python is used in schools and colleges like this have
https://www.youtube.com/watch?v=xB92zdw039g
2022/08/24
4
0
Visualize Financial Data
Open
Quantra
Making decisions or deciding your next move in the stock market is all based on data visualization and analysis. In this tutorial, we explain what Data Visualization is, why we use Data Visualization, the most important considerations for Data Visualization, as well as the basics of graphs of different kinds. We are working with pre-read data. I have already read the data and stored it in a CSV file. I will be working with that particular data. Here we have data for Bank of America, JP Morgan, and daily returns for Bank of America. One of the easiest ways to visualize the prices is through a line graph. The line graph is nothing but a line that will connect all the prices and which will help us understand the trend of the prices. To visualize any data we have a package like Matplotlib. In python everything is packaged, we have the Yfinance package to get the data. To visualize we have to import Matplotlib.py plot s plt which is a widely used package for visualization. As you can see the first line is we import this package, now we'll use plt everywhere. We will access the column that we are interested in plotting. We are interested in plotting the close of Bank of America. In the first column to that I just call up plot and that's it even we can ignore those parameters for the timeline and we just run the code from the first cell and as you can see we can easily visualize the closing price of Bank of America. What about other parameters? The size of the figure is very small.
https://www.youtube.com/watch?v=ooGnn0zikCo
2022/08/24
7
0
Importing Financial Data
Open
Quantra
One of the essential steps in automating your trades is to import or download the time series data. In addition to showing how an asset, security, or economic variable has changed over time, it can also show how the change compares to shifts in other variables during the same period. How to import Financial Time Series Data? Let's understand this code here which is importing financial time series data. We will use yahoo finance and we'll use a package name Yfinance to get the data from yahoo finance. For those who have never coded, you can just think about the package as a series of codes that is already there, you just import and get the benefit of it. Y-finance is a package that has returned a few lines of code to get the data from the yahoo finance website and give it to us. By simply saying - “import yfinance as yf”, we can get all the code with some smart chapters written since it is open source. We can easily access each other's code since this package is open source. By doing this yfinance is available and by saying “as yf” we have our shorter name to refer to this. It's just that sometimes someone has a very big name we use a shorter name to call it again and again because it's more convenient. Similarly, we are using yf short for yahoo finance. The second line of code is “yf.download”. This is the method that will help us to get the data. The first parameter of this method is the ticker of the symbol. Here it's “KO” for “coca-cola” and the second parameter is the sta
https://www.youtube.com/watch?v=5vHaFpkPx4E
2022/08/24
6
0
Application of Python in Trading
Open
Quantra
Traders can automate their trading by programming specific rules for both entry and exit rules, which are automatically executed by computers once programmed. One of the most preferred programming languages for trading is “Python”. But the question arises is - “How Python is applied in trading?” It is beautifully summarized from this python for trading workflow with an example. Imagine a trader who is doing everything on their own and compared to that let's say he gets his task done in an automated fashion by typing some lines of code in python. So obviously the second one is much more efficient and less stressful compared to doing every task on your own. This is one of the key benefits of python. The next question would be “How exactly to achieve that?” These steps can guide you: Step 1: Get the required data Step 2: Validate your Hypothesis Step 3: Analyzing the Performance Step 4: Automate trading The details of each step are explained in the video. If you have any queries feel free to mention them in the comment section and keep learning! -------------------------------------------------------------------- Recommended resources for learning Python For Trading! https://quantra.quantinsti.com/course/python-for-trading Code and write simply to advance algorithms for trading https://blog.quantinsti.com/tag/python-for-trading/ Forex Trading using Python: Basics https://quantra.quantinsti.com/course/forex-trading-python-basics Playlist - Python for trading https://y
https://www.youtube.com/watch?v=tS1s0_ybg0M
2022/08/24
8
0
Upgrade your trading skill 😍📈 #optionstrading #career #algorithmictrading
Open
Quantra
This new course will not only open different possibilities in the field of options trading but will give you a systematic approach to your strategy. Currently, this course is having a flat 67% off. Head to our website to get enroll in this amazing course on systematic options trading: https://www.quantra.quantinsti.com/course/systematic-options-trading? 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. 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
https://www.youtube.com/watch?v=SelnktkN24U
2022/08/23
3
0
How to Select a Graduate Program
Open
Dimitri Bianco
There are four steps in selecting a graduate school. 1. Set a Goal 2. Research Schools 3. Apply 4. Select a Program Now it is much more challenging than "just" those four steps. I discuss in this video how to select a masters degree for quantitative finance however it could be applied to any field. Researching programs and using rankings is challenging however if you search online enough you should be able to learn more about the programs and what they specialize in. US News Rankings https://www.usnews.com/best-graduate-schools QuantNet's Rankings https://quantnet.com/mfe-programs-rankings/ Fancy Quant Rankings https://www.fancyquantnation.com/quant-finance-list Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=0i93_925GvU
2022/08/21
17
5
EFMA 2022 Special Session
Open
European Financial Managament Association
EFMA 2022 Special Session - Venture capital Organizer/Moderator: Professor Douglas Cumming, DeSantis Distinguished Professor of Finance and Entrepreneurship, College of Business, Florida Atlantic University. Panelists: Professor Douglas Cumming, DeSantis Distinguished Professor of Finance and Entrepreneurship, College of Business, Florida Atlantic University. Professor Gordon Phillips, Laurence F. Whittemore Professor of Business Administration and Faculty Advisor, Center for Private Equity and Venture Capital, Dartmouth College. Dr. Albert Sheen, University of Oregon Lundquist College of Business Professor Massimo Colombo, Polytechnic University of Milan, BEF - Bureau Entrepreneurial Finance
https://www.youtube.com/watch?v=_6qUqvpBtaI
2022/08/17
0
0
EFMA 2022 Keynote Speech by Professor Toni M. Whited University of Michigan.
Open
European Financial Managament Association
EFMA 2022 Keynote Speech by Professor Toni M. Whited, University of Michigan, JFE Editor-in-chief Session. Title "Why can't I have both Integrating Reduced Form and Structural Work."
https://www.youtube.com/watch?v=UbksnOsXIUI
2022/08/17
1
0
Systematic Options Trading | An Introduction to the Course
Open
Quantra
Introduction to the course on Systematic Options Trading: https://quantra.quantinsti.com/course/systematic-options-trading Welcome to this course on systematic options trading. John has recently learned about options. He realised that he can make unlimited profits by trading options. So based on his newly acquired knowledge, John starts trading. He hopes of making huge profits and retiring at some cool place. John believes that the S&P 500 index which is currently at 4000, will rise over the next few days. Hence, he decides to buy a deep OTM call option that has a strike price of 6000. John believes that the index will rise to this level and he will earn a huge profit. But this does not happen and the option expires worthless. John trades with this philosophy multiple times, but every time the options expire worthless. And John ends up making huge losses. Discouraged by the losses, John decides to learn more about trading options. John learns that there are popular options trading strategies to capitalise on your views about the market. For example, if you want to trade on volatility, you can go with the straddle or butterfly strategy. If you think that the markets will go up, then you can go with the bull call spread. And if you think that the markets will go down, then you can go with the bear put spread. Since John has a bullish view of the index, he understands that he should set up the bull call spread on S&P500 options. But this time, the market goes against him. John f
https://www.youtube.com/watch?v=0CFDmWlmPu0
2022/08/17
4
0
Step by step guide to implementing an ML model in the market
Open
Quantra
This is a step-by-step guide for trading aspirants and learners. Learn to implement your backtested Machine learning model before going live in the market with the help of Blueshift. Convert machine learning model used for backtesting for live trade or paper trade. If you have any queries feel free to mention them in the comment section and keep learning! -------------------------------------------------------------------- Recommended resources for learning Learning Track: Machine Learning Strategy Development and Live Trading https://quantra.quantinsti.com/learning-track/machine-learning-strategy-development-live-trading Basic to advanced concepts in machine learning and its implementation https://blog.quantinsti.com/tag/machine-learning/ Playlist - Machine Learning for Trading with Dr. Ernest Chan https://www.youtube.com/playlist?list=PLD7IrLyN7uvIdAtZPBikfIaUNmFWe4pdz Machine learning trading playlist https://www.youtube.com/playlist?list=PLvoal9WEcFgLZ3hwu3HZCwUpbExPeay0G -------------------------------------------------------------------- About Quantra 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. Find more info on - https://quantra.quantinsti.com/ Like us on Facebook: https://www.facebook.com/goquantra/ Follow us on Twitter: https://twitter.com/GoQuant
https://www.youtube.com/watch?v=8VVnX9t0Y8w
2022/08/17
8
0
Implementing a Machine Learning technique in the Equity markets: Decision Trees
Open
Quantra
Not sure whether you should go live with your trading strategy? Backtesting is the key. This is video is for those, who want to try out their hands on implementing machine learning trading techniques in the Equity market before going into the live market. This video explains how you can use machine learning trading techniques such as Decision trees, to backtest your strategy and make sure it's accurate. If you have any queries feel free to mention them in the comment section and keep learning! -------------------------------------------------------------------- Recommended resources for learning Learn to Automate your Trading Strategies | Machine Learning https://quantra.quantinsti.com/courses?category_id=12 Learn to predict markets and find trading opportunities using AI techniques https://quantra.quantinsti.com/course/decision-trees-analysis-trading-ernest-chan Basic to advanced concepts in machine learning and its implementation https://blog.quantinsti.com/tag/machine-learning/ Machine learning trading playlist https://www.youtube.com/playlist?list=PLvoal9WEcFgLZ3hwu3HZCwUpbExPeay0G -------------------------------------------------------------------- About Quantra 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. Find more info on - https://quantra.quantinsti
https://www.youtube.com/watch?v=Av7rrIJvI9M
2022/08/17
1
0
How do you fully automate a trading strategy?
Open
Quantra
Have read about Automating a trading strategy, but never practically applied in live market? This is a worth watching video guide for all trading enthusiasts. This video explains how to apply the theoretically read trading strategies into live markets. It introduces you to the tools and methods you can use to automate your trading and make profits out of it.. If you have any queries feel free to mention them in the comment section and keep learning! -------------------------------------------------------------------- Recommended resources for learning Learn to Automate your Trading Strategies https://quantra.quantinsti.com/courses?category_id=10,12 Learn to automate your trades using different tools and platforms https://blog.quantinsti.com/tag/automated-trading/ How To Automate A Trading Strategy | Algo Trading Course https://www.youtube.com/watch?v=Ot-O9El4B88&t=6s All you need to know about Automated Trading https://www.youtube.com/user/quantinsti/search?query=automated -------------------------------------------------------------------- About Quantra 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. 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
https://www.youtube.com/watch?v=IW77BS7ubcY
2022/08/17
1
0
Used cases of Quantitative trading strategies
Open
Quantra
A key to success in trading is the implementation of trading strategies. Quantitative trading offers the advantage of optimizing the use of available data and reducing emotional decisions during transactions. This video take you through some of the classic live examples of quantitative trading strategies. Be sure to watch it till the end. If you have any queries feel free to mention them in the comment section and keep learning! -------------------------------------------------------------------- Recommended resources for learning Learn all Quantitative Trading Strategies https://quantra.quantinsti.com/courses?category_id=13 Types of Algorithmic Trading Strategies https://www.youtube.com/watch?v=4Ae2_i5nMxs&t=6s Classification of Quantitative Trading Strategies https://blog.quantinsti.com/classification-of-quantitative-trading-strategies/ Playlist - Quantitative Trading Strategies https://youtube.com/playlist?list=PLvoal9WEcFgLaHAZAYdxrrsAhxkZJicbF Strategies for Traders & Quants https://www.youtube.com/playlist?list=PLvoal9WEcFgIjjwsyVYN5J9UZQd6m5yaI -------------------------------------------------------------------- About Quantra 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. Find more info on - https://quantra.quantinsti.com/ Like us on Facebook: https
https://www.youtube.com/watch?v=edIOmX25JS4
2022/08/17
3
0
How to create a trading strategy?
Open
Quantra
Do you want to create a Trading Strategy? How do you go about it? This video guide is worth watching not just for beginners but also for individual traders, who want to advance themselves in the field of trading, with the help of Trading Strategies. It explains the process of conceptualizing, creating, coding, and much more. Trading strategies are plans designed to identify specific market conditions and price levels based on analysis. Most strategies focus on technical indicators, rather than fundamental analysis to predict price movements. If you have any queries feel free to mention them in the comment section and keep learning! -------------------------------------------------------------------- Recommended resources for learning Learning Track: Advanced Algorithmic Trading Strategies https://quantra.quantinsti.com/learning-track/algorithmic-trading-for-quants Learn Trading Strategies | Develop And Backtest Your Strategy https://www.youtube.com/watch?v=qLIgx0S8D0w&t=1s Types of Algorithmic Trading Strategies https://www.youtube.com/watch?v=4Ae2_i5nMxs&t=6s Playlist - Quantitative Trading Strategies https://youtube.com/playlist?list=PLvoal9WEcFgLaHAZAYdxrrsAhxkZJicbF -------------------------------------------------------------------- About Quantra 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
https://www.youtube.com/watch?v=rvI73E2rHQk
2022/08/17
8
5
Global Meltdown and China
Open
Dimitri Bianco
The global meltdown isn't a simple one thing causing economic instability globally. Some key takeaways from the video: 1) We're in a global environment and one country falling effects others. 2) Printing money causes inflation. So printing money is no longer a tool governments can use. 3) While saving the planet should be a priority, you can't just make changes without a full analysis of how it will impact people. 4) Covid responses by governments is a complicated issue and both economic and health should be reviewed. China: https://youtu.be/YBBnQmRcRI4 https://youtu.be/JsIOYAI2D1k Sri Lanka: https://www.reuters.com/markets/commodities/fertiliser-ban-decimates-sri-lankan-crops-government-popularity-ebbs-2022-03-03/ Canada: https://youtu.be/LMG4kuEN_kM https://seekingalpha.com/news/3861999-trudeau-farmers-clash-on-plan-to-cut-fertilizer-emissions Website: https://www.FancyQuantNation.com Quant t-shirts, mugs, and hoodies: https://www.teespring.com/stores/fancy-quant Connect with me: https://www.linkedin.com/in/dimitri-bianco https://twitter.com/DimitriBianco
https://www.youtube.com/watch?v=fN0Ig9gUWxk
2022/08/14
20
5
European Financial Management Association 2022 Special session on Fin Tech Development/ Research.
Open
European Financial Managament Association
Organizer/Moderator: Dr. Julapa Jagtiani, Federal Reserve Bank of Philadelphia. Panelists: Professor Andrei Kirilenko P., Cambridge Judge Business School. Dr. Leonardo Gambacorta, Bank for International Settlements. Dr. Aaron Klein, Brookings Institution.
https://www.youtube.com/watch?v=DTfiNujayts
2022/08/11
0
0
EFMA 2022 Annual Meeting Distinguished Keynote Lecture by Professor Jesse Fried.
Open
European Financial Managament Association
European Financial Management Association 2022 Distinguished Keynote Lecture by Professor Jesse Fried,Dane Professor of Law, Harvard Law School titled "Measuring Capital Flows Accurately: Why it Matters for Public Policy, and for Finance".
https://www.youtube.com/watch?v=uoxrgs7SHbA
2022/08/11
0
0
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