Channel Title: QuantInsti Quantitative Learning Channel Description: We aim to provide high-quality education and training in Quantitative finance & Algorithmic trading. And we pride ourselves on making a complex domain accessible to anyone obsessively interested in it. What we Offer: 👉 Executive Programme in Algorithmic Trading (EPAT): Algo Trading course - https://goo.gl/3Oyf2B 👉 Blueshift - Strategies, backtest & live trade for FREE: https://blueshift.quantinsti.com/ There's tons of other stuff we keep monkeying around with Blogs, Newsletters, Webinars, Workshops, The works. Visit us: https://bit.ly/3Rexk64 Blogs: https://bit.ly/3GMycd6 Follow us on: Facebook: https://www.facebook.com/quantinsti/ Twitter: https://twitter.com/QuantInsti LinkedIn: https://www.linkedin.com/school/quantinsti Instagram: https://www.instagram.com/quantinstian/ Contact Us: Mobile: +91-8976996960 Landline: +91-22-61691400 Global: +1-312-761-8620 E-mail Id: contact@quantinsti.com <video> Momentum Trading Example | The Simple Explanation #momentum #momentumtrading #trading #simplified Description: Link: https://bit.ly/40lP98R Momentum Trading Simplified Here's an example to learn about the working of momentum trading. Think of momentum trading as a moving car. The speed is slow as you start moving forward. This is when you identify a stock which is increasing in price. As the car accelerates, the speed increases. If you have identified the stock and purchased it, your investment now starts to grow. On seeing a red stop light, the car decelerates and the speed reduces. This is similar to when you exit your position at a profit on seeing a momentum loss in the asset price. To know more about Momentum Trading, click the link. </video> <video> Quiz! What does it mean when a stock is said to have high beta? #trading Description: Quiz Time! What does it mean when a stock is said to have high beta? A) The stock is more volatile than the market, or B) The stock is less volatile than the market. Answer: The stock is more volatile than the market. A) A high beta indicates that the stock's price tends to move more significantly compared to the overall market, making it riskier but potentially more rewarding. Like and subscribe for more informative content. </video> <video> MasterClass on HFT, Algo Desk Setup & Career Growth in Quant Trading Description: Kickstart Your Algorithmic Trading Career Today! Join the Executive Programme in Algorithmic Trading (EPAT®) and unlock your potential with: ✅ Hands-on Learning ✅ Expert mentorship ✅ Lifetime placement assistance Your Algorithmic Trading Journey begins here! 👉 Learn More & Enroll: https://www.quantinsti.com/epat This exclusive MasterClass that brought together top industry experts to share their insights into high-frequency trading, setting up an algorithmic trading desk, and fast-tracking your quant career. Key Highlights from the Event: Skills HFT Firms Are Searching For in New Talent: Rajib Ranjan Borah, co-founder of a leading HFT firm, shared exclusive insights into what high-frequency trading firms look for when hiring. From critical skills to the ideal mindset, this session revealed the secrets to excelling in the fast-paced world of HFT. Journey to Set Up Your Own Algo Trading Desk: Learn how Richard, an EPAT alumnus, successfully launched his algo trading desk. This session offered invaluable practical steps, learning resources, and the mindset required to set up a profitable trading desk. Live AMA with a Quant Expert: A rare opportunity to hear directly from an EPAT alumnus and get answers to the most pressing questions about algorithmic and quantitative trading. About the Speakers: Rajib Ranjan Borah: Co-founder of iRage, offering insider knowledge on thriving in HFT and recruiting top talent. Richard Harrison: EPAT alumnus who successfully established his algo trading desk, sharing actionable insights for aspiring traders. 🎓 What You’ll Gain: Insights into building an algo trading desk Tips for breaking into high-frequency trading Expert advice on advancing your quant career 🔔 Subscribe for more trading insights and Python strategies!👍 Like this video and share it with your fellow traders.💬 Drop your questions and comments below—we’d love to hear from you! 📱 Follow Us for Updates:🌐 Website: https://www.quantinsti.com📘 Facebook: https://www.facebook.com/quantinsti🐦 Twitter: https://twitter.com/quantinsti💼 LinkedIn: https://www.linkedin.com/company/quantinsti📸 Instagram: https://www.instagram.com/quantinstian 🔔 Subscribe to stay updated on future events and tutorials! 👍 Like and share this recap with fellow traders. 💬 Drop your questions or thoughts in the comments below. Keywords: Python Trading, Strategic Trading, Market Regimes, Mean Reversion, Index Trading, Quantitative Strategies, Algorithmic Trading, Trading Python, SP500 Strategies, Michael Harris, Financial Markets, Trading Insights, High-Frequency Trading, Portfolio Management, Risk Management, Quant Career, Predictive Analytics, Data Science in Finance, Advanced Trading Techniques, Quant Education, Algo Desk Setup, Trading Algorithms. Hashtags: #PythonTrading #QuantitativeTrading #MarketRegimes #AlgoTrading #SP500 #TradingStrategies #QuantResearch #FinancialMarkets #AlgorithmicTrading #MeanReversion #QuantTrader #TradingAutomation #MichaelHarris #QuantitativeFinance #QuantCareer #HFT #PortfolioManagement #RiskManagement #DataScienceInFinance #AdvancedTrading #QuantEducation #AlgoDeskSetup #TradingAlgorithms #FinanceTechnology #TradingInsights </video> <video> Learn Trading Strategy Paradigm Description: In this video, we dive deep into the world of trading strategy formulation. Learn the essential steps involved in creating a profitable trading strategy, from understanding the market and setting clear goals to designing the strategy itself. We also cover crucial concepts like forward testing and optimization to help you refine and improve your trading approach. Whether you're a beginner or an experienced trader, this guide will provide valuable insights to enhance your trading skills and decision-making. Watch now and start formulating your winning trading strategy! Topics Covered: Introduction to the paradigm of trading strategy formulation The step-by-step process for designing a trading strategy Essential tools for forward testing and strategy optimization About the Speaker: The webinar was taken by Mr. Shaurya Chandra, he is a Director at iRageCapital Advisory Private Ltd., leading the firm's advisory practice in India on Research, Strategies Development and Risk Management. He has advised extensively with a core focus on statistical research, strategy development and backtesting validations and setting up systems & processes for risk management. QuantInsti (QI) is the pioneer institute in providing training programs based on High-Frequency Trading & Algorithmic Trading to individuals and leading institutions like banks, institutional brokers and hedge funds. Many batches have already completed their training programs and are now actively contributing to the industry after being placed in leading institutions or while working on their own algorithmic trading desks. Please feel free to contact us at +91 22 61691400 or +91 9920448877 or you can even write us at contact@quantinsti.com, for any queries you might have. #tradingstrategy #Trading #Investing #Forex #StockMarket #MachineLearning #Optimization #RiskManagement #Backtesting #HypothesisFormulation #TradingStrategies #BackTesting #BackTestedResultsForTradingStrategies #TrainingPrograms Download Slides: http://www.slideshare.net/QuantInsti/... QuantInsti is a pioneer training institute for learning algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/ </video> <video> Excel Based Backtesting Description: In this video, we’ll demonstrate how to backtest trading strategies using Excel, showcasing its strengths for prototyping and analyzing basic setups. We'll also discuss its limitations with larger datasets or complex models and explore advanced tools like Python to overcome these challenges and enhance your backtesting efficiency. Supercharge your trading strategy with EPAT! Buy our cutting-edge course today and revolutionize your approach to the market. Join EPAT (Executive Programme in Algorithmic Trading) today! 👉 https://bit.ly/3OyErFI **** About the Speaker: Jay Parmar (Associate, Content & Research at QuantInsti) Jay Parmar works as an Associate, Content & Research at QI and comes with several years of experience in the BFSI industry. He is actively engaged in content development for quant finance courses and mentors EPAT participants across the globe. He is passionate about algo trading and programming and enjoys developing automated trading systems. He holds a Bachelors’ in Computer Science and the EPAT Certificate. His research interests are in applying machine learning models to various facets of trading. --------------------------------------------------------------------------------------------------------------------------- Don't forget to 'Like' and 'Share' this video and be sure to 'Subscribe' to our YouTube channel! ----------------------------------------- Additional Reading: ✅Stock Market Data And Analysis In Python https://blog.quantinsti.com/stock-mar... ✅Basic Operations On Stock Data Using Python https://blog.quantinsti.com/basic-ope... ✅What Every Trader Should Know About Market Data https://blog.quantinsti.com/market-da... ✅Fundamental and Sentiment Analysis with Different Data Sources https://blog.quantinsti.com/fundament... </video> <video> The Kelly Criterion | Math in trading #trading #algorithmictrading #algotrading Description: Link: https://bit.ly/3OXafUG The Kelly Criterion The Kelly Criterion is a mathematical framework designed to maximize the long-term growth of capital by determining the optimal proportion to allocate based on probabilities and expected returns. By striking a balance between risk and reward, it aims to minimize the chances of significant losses while ensuring steady growth over time. Widely utilized in finance and portfolio management, the Kelly Criterion provides a disciplined and systematic approach to capital allocation, enabling more informed and strategic decision-making. This method emphasizes the power of compounding while carefully managing risk, making it highly effective when supported by accurate estimations of probabilities and outcomes. Check out our blog on The Kelly Criterion by clicking the link. </video> <video> Dive into Quantitative Trading Analysis with Python Description: Dive into the world of quantitative analysis in trading and learn how to turn historical market data into actionable insights. This video introduces the basics of Python for trading, covering data acquisition, statistical analysis, pattern identification, and strategy backtesting. Discover how to analyze price trends, build predictive models, and visualize your results using Python's powerful libraries. Perfect for beginners ready to explore trading automation and quantitative strategies, this session will guide you step-by-step into creating your first algorithmic trading strategy! 🔍 Key Highlights: Basics of Python for trading Data analysis and visualization Statistical methods for trading insights Backtesting trading strategies Turning patterns into profitable trades 🚀 Perfect For: Beginners and professionals eager to explore trading automation and quantitative trading strategies. Follow along to create your own algorithmic trading strategy using Python's robust libraries like Pandas, NumPy, and Matplotlib. 🎓 Additional Learning Resources: ▶️ Trading in the Age of AI: How to Stay Ahead! https://www.youtube.com/live/nLtudB57... ▶️ ChatGPT and Algo Trading: Exploring Opportunities & Challenges https://www.youtube.com/live/RswCmPFn... ▶️ Full Algorithmic Trading Python Course: https://bit.ly/4bGQF9e 📚 FREE Ebooks: 🎁 Machine Learning In Trading | Step-By-Step Implementation of ML Models: https://bit.ly/4bGQF9e🎁 Algorithmic Trading | A Rough & Ready Guide: https://bit.ly/3UGgTms🎁 Python Basics | With Illustrations From Financial Markets: https://bit.ly/49BP1UQ 🔔 Subscribe to our channel for more Algorithmic Trading tutorials and tips!👍 Like this video and share it with fellow traders.💬 Got questions? Drop them in the comments below—we’d love to hear from you! About the Speaker: Vivek Krishnamoorthy has straddled the worlds of industry and academia. Previously, he worked as a credit analyst in Corporate & Institutional Banking with ICICI Bank in Singapore and India. At EPAT, Vivek helps the participants learn to backtest trading strategies in Python, and time series modelling. Vivek has also worked as an assistant professor of finance at SIBM, Pune. He has conducted numerous corporate training sessions for mid and senior-level executives in corporate finance, financial modelling, and portfolio theory at Larsen & Toubro, Credit Suisse, and other organizations. When he was a research scholar at McMaster University, Canada, he taught economics and finance courses to undergraduate and graduate students there. 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 Nanyang Technological University (NTU), Singapore. Take the next step in your trading journey! 🔗 Explore the Executive Programme in Algorithmic Trading (EPAT) today: https://bit.ly/47Cwrdu Keywords: Quantitative Trading, Python Trading, Algo Trading, Trading Strategies, Quantitative Analysis, Backtesting, Machine Learning, Financial Markets, Python For Trading, EPAT, Quant Strategies, Data Analysis, Predictive Models, Financial Engineering, Algorithmic Trading Insights Hashtags: #QuantTrading #PythonTrading #AlgoTrading #TradingStrategies #QuantitativeAnalysis #Backtesting #MachineLearning #FinancialMarkets #PythonForTrading #EPAT #TradingAutomation #DataScience #FinanceTools #QuantResearch #AlgoTrader #TradeSmart #FinancialFreedom #StockMarkets #InvestmentStrategy </video> <video> Financial LLMs | Large Language Models in Finance #llm #finance #trading #algorithmictrading Description: Link: https://bit.ly/4fgeB3W Financial LLMs While general-purpose LLMs are helpful, models trained on specific data types tend to perform even better for niche tasks. This is particularly evident in the financial sector, where precision and domain-specific expertise are crucial. This is where financial LLMs come into play, designed to handle specialized tasks with higher accuracy. Models like BloombergGPT and FinBERT have been fine-tuned on financial datasets, allowing them to better understand and predict outcomes within the financial industry. For instance, FinBERT is built on top of the BERT architecture and trained using datasets from financial news articles and financial phrase banks, enabling it to capture the nuances of finance-specific language. As a result, these models excel in tasks such as sentiment analysis, risk assessment, and financial forecasting, outperforming general-purpose models in these contexts. Check out our blog on Trading using LLMs by clicking the link. </video> <video> Python Based Backtesting Description: This video explores Python-based backtesting for trading strategies, highlighting its power to handle large datasets, automate processes, and apply complex models. About the Speaker: Vivek Krishnamoorthy has straddled the worlds of industry and academia. Previously, he worked as a credit analyst in Corporate & Institutional Banking with ICICI Bank in Singapore and India. At EPAT, Vivek helps the participants learn to backtest trading strategies in Python, and time series modelling. Vivek has also worked as an assistant professor of finance at SIBM, Pune. He has conducted numerous corporate training sessions for mid and senior-level executives in corporate finance, financial modelling, and portfolio theory at Larsen & Toubro, Credit Suisse, and other organizations. When he was a research scholar at McMaster University, Canada, he taught economics and finance courses to undergraduate and graduate students there. 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 Nanyang Technological University (NTU), Singapore. ------------------------------------------------------------------------------------------------------------------------------------------------------------------ ▶️ Trading in the Age of AI: How to Stay Ahead!: https://www.youtube.com/live/nLtudB57... ▶️ ChatGPT and Algo Trading: Exploring Opportunities & Challenges: https://www.youtube.com/live/RswCmPFn... ▶️ Algorithmic Trading Course | Playlist: • Full Algorithmic Trading Python Course FREE Ebooks: 🎁Machine Learning In Trading | Step By Step Implementation of ML Models - https://bit.ly/4bGQF9e 🎁Algorithmic Trading | A Rought & Ready Guide - https://bit.ly/3UGgTms 🎁Python Basics | With Illustrations From The Financial Markets - https://bit.ly/49BP1UQ 🔔 Subscribe to our channel for more Algorithmic Trading tutorials and tips! 👍 Like this video and share it with your fellow traders. 💬 Drop your questions and comments below. We'd love to hear from you! </video> <video> Open interest in options trading #trading #education #stockmarket Description: Link: https://bit.ly/4ginXh4 Open interest in options trading Open interest in options trading represents the number of contracts that are open and not yet closed or exercised. Unlike volume, which tracks the number of trades in a specific period, open interest shows the total number of unsettled contracts. It’s a key metric to gauge the depth of market interest in a particular option. Open interest reflects market sentiment and helps traders identify potential price movements and trends. For traders, it’s a tool to evaluate the activity and popularity of a contract. Understanding open interest is essential for developing informed and effective options trading strategies. Click the link to know more! </video> <video> Get started with Blueshift Description: Discover Blueshift, your comprehensive partner for algorithmic trading solutions. Our platform combines cutting-edge technology, India’s first publically available CEP engine, and full regulatory compliance to simplify trading for retail and institutional clients alike. Whether you're looking for ready-made strategies or an advanced customizatin with Python, Blueshift offers powerful tools for everyone. Explore features like customizable strategies, instant backtesting, no-code/low-code options, and seamless live integration—all built to grow and scale with your brokerage. Ready to empower your trading journey? Watch the video to see how Blueshift can transform your trading operations. Engage, Innovate, Trade with Confidence. </video> <video> Algo Trading after MBA Finance #career #job #mba #algotrading #algorithmictrading Description: Link: https://bit.ly/40boBqY Algo Trading after an MBA in Finance Algorithmic trading uses computer algorithms to execute trades in financial markets. These algorithms, developed through programming, follow predefined instructions like price, timing, or quantity to place trades automatically. Algo trading has grown due to technological advancements, high-speed internet, and powerful computing. It is widely used by institutional investors, hedge funds, and trading firms for efficient, high-volume trade execution. Relying on automated systems, algo trading is central to modern finance and offers opportunities for professionals with strong technical and analytical skills. Algo trading can be seen as a natural progression after MBA (Finance) as you have the required financial domain expertise. You can build on this knowledge to create automated systems for trading and investment. To know more , click the link. </video> <video> Strategic Python Trading with Michael Harris | Techniques for Market Regime Changes Description: Explore cutting-edge trading strategies in Python with Michael Harris, a seasoned quant trader and author, as he shares his expertise on designing market regime-aware trading systems. This session delves into advanced Python techniques for creating robust index trading strategies, focusing on mean reversion and predictive models. Whether you're an aspiring quant or an experienced trader, this video offers practical insights to enhance your trading skills. Michael Harris brings over 30 years of experience, making this a must-watch for traders looking to stay ahead in dynamic markets. 🔍 Key Highlights: Python-based trading strategy development Understanding market regimes and their impact on strategies Advanced index trading techniques Mean reversion strategies for SP500 Insights from a seasoned quant trader 🚀 Perfect For: Traders, data analysts, and Python enthusiasts aiming to refine their quantitative trading skills and explore actionable strategies. 🎓 Additional Learning Resources: ▶️ How to Become a Successful Quant Trader | Dr Ernest Chan: https://bit.ly/3UGgTms▶️ Quantitative Trading Strategies | Advanced Techniques: https://bit.ly/4bGQF9e▶️ Algorithmic Trading with Python: Full Playlist: https://bit.ly/4bGQF9e 📚 FREE Ebooks: 🎁 Machine Learning In Trading | Step-By-Step Implementation: https://bit.ly/4bGQF9e🎁 Algorithmic Trading | A Rough & Ready Guide: https://bit.ly/3UGgTms🎁 Python Basics | Illustrations From Financial Markets: https://bit.ly/49BP1UQ 🔔 Subscribe for more trading insights and Python strategies!👍 Like this video and share it with your fellow traders.💬 Drop your questions and comments below—we’d love to hear from you! 📱 Follow Us for Updates:🌐 Website: https://www.quantinsti.com📘 Facebook: https://www.facebook.com/quantinsti🐦 Twitter: https://twitter.com/quantinsti💼 LinkedIn: https://www.linkedin.com/company/quantinsti📸 Instagram: https://www.instagram.com/quantinstian About the Speaker: Michael Harris is a veteran quant trader, author, and the founder of the Price Action Lab Blog and DLPAL software. With decades of experience in financial markets, his deep insights into market regime changes and algorithmic trading have inspired traders worldwide. Take your trading to the next level! 🔗 Enroll in the Executive Programme in Algorithmic Trading (EPAT): https://bit.ly/47Cwrdu Keywords: Python Trading, Strategic Trading, Market Regimes, Mean Reversion, Index Trading, Quantitative Strategies, Algorithmic Trading, Trading Python, SP500 Strategies, Michael Harris, Financial Markets, Trading Insights Hashtags:#PythonTrading #QuantitativeTrading #MarketRegimes #AlgoTrading #SP500 #TradingStrategies #QuantResearch #FinancialMarkets #AlgorithmicTrading #MeanReversion #QuantTrader #TradingAutomation #MichaelHarris #QuantitativeFinance </video> <video> Landscape of trading strategies Description: This short video is part of QuantInsti’s webinar “Modelling Trading Strategies in Equities” in collaboration with SGX and Interactive Brokers. Watch the entire video here - https://www.quantinsti.com/blog/webin… #QuantTrading #TradingEdge #RiskManagement #TradingPsychology #Finance #StockMarket #InvestmentStrategies #ProfessionalTrading #TradingEducation #AlgorithmicTrading #TradingMentorship Most Useful links and some bonus content: Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B [Free Handbook] Python Basics - http://bit.ly/2lZdNLW [Free Course] Python for Trading: Basic - http://bit.ly/2kL203N [Free Course] Introduction to Machine Learning for Trading - http://bit.ly/2m61gGr [Free Course] Options Trading Strategies In Python: Basic - http://bit.ly/2mmNtvk About the Speaker: Prodipta Ghosh (Vice President, QuantInsti) Before joining QuantInsti as Vice President, Prodipta spent more than a decade in the banking industry - in various roles across trading and structuring desks for Deutsche Bank in Mumbai & London, and as a corporate banker with Standard Chartered Bank. Before that, Prodipta worked as a scientist in India's Defence R&D Organization (DRDO). He is a graduate with a B.E. in Mechanical Engineering from Jadavpur University and has a postgraduate degree in management from IIM Lucknow. </video> <video> Portfolio Management #trading #portfolio #portfoliomanagement #python Description: Link: https://bit.ly/4iTAetR Portfolio management Portfolio management involves the strategic allocation and management of assets to achieve specific investment objectives. The process requires carefully balancing risk and return to optimise performance. Managing a portfolio of strategies follows similar principles to managing a portfolio of assets. In this context, the strategies themselves are considered operational assets. These strategies can include long, short, or waiting positions, each designed to align with overall investment goals. The ultimate objective is to maximise returns while effectively minimising risks. Check out our blog on Portfolio Management by clicking the link. </video>

Contacts and Links

Description

We aim to provide high-quality education and training in Quantitative finance & Algorithmic trading. And we pride ourselves on making a complex domain accessible to anyone obsessively interested in it.

What we Offer:
👉 Executive Programme in Algorithmic Trading (EPAT): Algo Trading course - https://goo.gl/3Oyf2B
👉 Blueshift - Strategies, backtest & live trade for FREE: https://blueshift.quantinsti.com/

There's tons of other stuff we keep monkeying around with Blogs, Newsletters, Webinars, Workshops, The works.
Visit us: https://bit.ly/3Rexk64
Blogs: https://bit.ly/3GMycd6

Follow us on:
Facebook: https://www.facebook.com/quantinsti/
Twitter: https://twitter.com/QuantInsti
LinkedIn: https://www.linkedin.com/school/quantinsti
Instagram: https://www.instagram.com/quantinstian/

Contact Us:
Mobile: +91-8976996960
Landline: +91-22-61691400
Global: +1-312-761-8620
E-mail Id: contact@quantinsti.com

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