Introduction
At QuantInsti, our dedication to delivering high quality training and empowering know-how is mirrored in our collaborations with famend establishments and business leaders. Collectively, we drive the way forward for algorithmic buying and selling by fostering innovation and knowledge-sharing by means of strategic alliances and impactful occasions.
To succeed in our imaginative and prescient of creating algorithmic buying and selling accessible to all, QuantInsti hosts Free Studying Periods that includes distinguished business leaders who share their insights and experience. These periods typically entice round 10,000 registrations and 5,000 attendees, serving to us deliver our mission to life by reaching a large viewers. Whereas some occasions are completely accessible to EPAT alumni, the bulk are open to everybody, guaranteeing broad entry to cutting-edge information in algorithmic buying and selling.
Index
Full Algo Buying and selling Course: Study Algorithmic Buying and selling
(3-Day Workshop)
Description
This 3-day on-line workshop introduces members to systematic and quantitative buying and selling, buying and selling technique paradigms, and backtesting methods utilizing Python and visible coding.
Audio system
- Vivek Krishnamoorthy (Head of Content material & Analysis, QuantInsti)
- Ashutosh Dave (Senior Affiliate, Content material & Analysis, QuantInsti)
- Jay Parmar (Affiliate, Content material & Analysis, QuantInsti)
What We Lined
- Introduction to algorithmic buying and selling
- Technique improvement, universe choice, and backtesting
- Fingers-on technique implementation utilizing Blueshift
Why You Ought to Watch It
- Step-by-step steering for rookies in algo buying and selling
- Discover ways to backtest and optimize buying and selling methods
- Fingers-on sensible examples
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Create Your Personal Python Buying and selling Bot
Study Algorithmic Buying and selling with Knowledgeable Steerage
Description
Discover ways to design, develop, and implement a Python buying and selling bot, together with backtesting, dwell deployment, and efficiency evaluation.
Speaker
- Satyapriya Chaudhari (Quant Analyst, QuantInsti)
What We Lined
- Organising the Python atmosphere for buying and selling
- Growing a buying and selling technique and backtesting it
- Deploying and optimizing buying and selling bots
Why You Ought to Watch It
- Very best for merchants seeking to automate their methods
- Fingers-on steering for backtesting and dwell deployment
- Covers Python libraries important for algo buying and selling
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What Is Paper Buying and selling How To Use It to Your Benefit?
[Complete Tutorial]
Description
An entire tutorial on paper buying and selling, the way it works, and the way merchants can use it to check methods risk-free.
Speaker
- Rekhit Pachanekar (Quant Analyst, QuantInsti)
What We Lined
- What’s paper buying and selling and why it’s helpful
- Finest platforms for paper buying and selling
- Do’s and don’ts when utilizing paper buying and selling
Why You Ought to Watch It
- Important for rookies earlier than risking actual cash
- Helps refine buying and selling methods by means of simulated buying and selling
- Covers completely different paper buying and selling platformsWatch the Webinar
Construct Your Buying and selling Algorithm from Scratch
Algo Buying and selling Tutorial
Description
A beginner-friendly tutorial on the basics of algorithmic buying and selling and how you can create buying and selling algorithms.
Speaker
- Ashutosh Dave (Senior Affiliate, Content material & Analysis, QuantInsti)
What We Lined
- Buying and selling algorithms and their parts
- Growing and testing buying and selling methods
- Understanding market information and indicators
Why You Ought to Watch It
- Good for these beginning their algorithmic buying and selling journey
- Covers sensible steps to construct and take a look at buying and selling algorithms
- Fingers-on method to technique improvement
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Automated Buying and selling: How To Automate A Buying and selling Technique
Description
This session explores the basics of automated buying and selling and showcases step-by-step implementation methods.
Speaker
- Rishabh Mittal (Quantitative Analyst, Quantra by QuantInsti)
What We Lined
- Introduction to automated buying and selling
- Connecting to a dealer and putting dwell trades
- Technique creation, testing, and automation
Why You Ought to Watch It
- Study to automate buying and selling methods successfully
- Covers dealer integration for dwell buying and selling
- Helps transition from handbook to automated buying and sellingWatch the Webinar
Earlier than you get into quant and algorithmic buying and selling
[Panel Discussion] | Algo Buying and selling Week Day 0
Description
A panel dialogue that includes business leaders, offering insights into the necessities of quant and algorithmic buying and selling for rookies.
Panelists
- Ishan Shah (AVP, Content material & Analysis, QuantInsti)
- Nitesh Khandelwal (Co-Founder & CEO, QuantInsti)
- Prodipta Ghosh (VP, QuantInsti)
- Rajib Ranjan Borah (CEO & Director, iRage | Co-Founder, QuantInsti)
- Vivek Krishnamoorthy (Head of Content material & Analysis, QuantInsti)
What We Lined
- Profession alternatives in quant buying and selling
- The relevance of coding and arithmetic in algorithmic buying and selling
- Constructing a robust basis earlier than getting into quant buying and selling
Why You Ought to Watch It
- Get skilled insights earlier than diving into algorithmic buying and selling
- Study concerning the required talent units and academic paths
- Very best for college students, professionals, and aspiring quants
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Tips on how to Grow to be a Profitable Quant Dealer
Dr Ernest Chan | Algo Buying and selling Week Day 1
Description
Dr. Ernest Chan shares precious insights on how you can construct a profession in quantitative buying and selling, overlaying important expertise, market competitiveness, and quant fund preparation.
Speaker
- Dr. Ernest Chan (Founder & CEO, PredictNow.ai)
What We Lined
- Steps to turning into a profitable quant dealer
- The significance of Ph.D. in quant buying and selling
- Use of AI, machine studying, and statistical fashions in buying and selling
Why You Ought to Watch It
- Study instantly from a number one quant buying and selling skilled
- Perceive how you can put together for quant hedge funds
- Covers buying and selling methods, algorithmic expertise, and statistical instruments
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How to decide on the very best shares and dwell commerce by Dr. Hui Liu
Algo Buying and selling Week Day 2
Description
Dr. Hui Liu explains inventory choice methodologies and demonstrates dwell buying and selling methods.
Speaker
- Dr. Hui Liu (Founder, Working River Investments LLC | Writer, IBridgePy)
What We Lined
- Tips on how to determine high-potential shares
- Stay buying and selling demonstration
- Backtesting methods utilizing historic information
Why You Ought to Watch It
- Good for inventory merchants on the lookout for systematic choice strategies
- Features a dwell demonstration of buying and selling methods
- Covers backtesting methods for validation
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Brief promoting within the bull market – A Masterclass by Laurent Bernut
Algo Buying and selling Week Day 3
Description
A masterclass on short-selling methods in a bullish market, led by an skilled short-seller with over 18 years of expertise.
Speaker
- Laurent Bernut (CEO, Alpha Safe Capital)
What We Lined
- The mechanics of brief promoting
- How brief sellers influence monetary markets
- Buying and selling methods and threat administration in brief promoting
Why You Ought to Watch It
- Important for merchants seeking to revenue from market downturns
- Covers real-world short-selling case research
- Very best for each institutional and retail merchants
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Utilizing sentiment and various information in buying and selling
[Panel Discussion] | Algo Buying and selling Week Day 4
Description
A deep dive into sentiment evaluation, various information, and the way these information sources influence algorithmic buying and selling.
Panelists
- Dr. Cristiano Arbex Valle (Researcher/Developer, OptiRisk Programs)
- Prof. Gautam Mitra (Founder & MD, OptiRisk Programs)
- Dr. Matteo Campellone (Govt Chairman, Mind)
- Dr. Ravi Kashyap (Quantitative Strategist, Morgan Stanley)
What We Lined
- How various information can improve buying and selling choices
- The function of NLP and AI in market sentiment evaluation
- Sensible use circumstances in systematic buying and selling
Why You Ought to Watch It
- Find out how non-traditional information can present an edge
- Perceive sentiment evaluation and machine studying functions
- Good for merchants seeking to leverage data-driven methods
Watch the Webinar
Present developments in quant finance
[Panel Discussion] | Algo Buying and selling Week Day 5
Description
Main consultants talk about the most recent developments in quantitative finance, overlaying developments in threat administration, AI, and portfolio methods.
Panelists
- David Jessop (Head of Funding Threat, Columbia Threadneedle Investments)
- Dr. Debashis Guha (Director of Machine Studying, SP Jain College of World Administration)
- Richard Rothenberg (Govt Director, World AI Company)
What We Lined
- The influence of AI and machine studying in buying and selling
- Threat administration frameworks in quant finance
- Portfolio development methods
Why You Ought to Watch It
- Keep up to date with the most recent developments in quant buying and selling
- Study from high consultants in AI and quantitative finance
- Important for anybody concerned in algorithmic buying and selling
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Synthetic intelligence in buying and selling
By Dr Thomas Starke | Algo Buying and selling Week Day 6
Description
Dr. Thomas Starke discusses AI functions in buying and selling and the way machine studying is remodeling monetary markets.
Speaker
- Dr. Thomas Starke (CEO, AAAQuants)
What We Lined
- AI-driven buying and selling methods
- Machine studying fashions for predictive analytics
- Actual-world case research of AI in finance
Why You Ought to Watch It
- Study from an AI skilled in quantitative buying and selling
- Perceive how AI is revolutionizing buying and selling methods
- Covers the way forward for AI in finance
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Utility of Machine Studying in Buying and selling
Algo Buying and selling Week Day 7
Description
This session explores how machine studying fashions will be utilized to quantitative buying and selling.
Audio system
- Ishan Shah (AVP, Content material & Analysis, QuantInsti)
- Rekhit Pachanekar (Quant Analyst, QuantInsti)
What We Lined
- Machine studying ideas for buying and selling
- Growing and testing ML-based buying and selling fashions
- Evaluating profitability of ML-driven methods
Why You Ought to Watch It
- Important for merchants seeking to combine ML into their methods
- Fingers-on method with buying and selling mannequin improvement
- Covers the do’s and don’ts of utilizing ML in buying and selling
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Implementing Pricing Mannequin and Dynamic Asset Allocation
Algo Buying and selling Venture Webinar
Description
This session showcases two EPAT challenge shows on market-making fashions and neural network-based asset allocation.
Audio system
- Evgeny Tishkin (Market-Making Mannequin Knowledgeable)
- Mrinal Mahajan (Dynamic Asset Allocation Knowledgeable)
What We Lined
- Implementing a market-making mannequin utilizing Kalman filtering
- Utilizing neural networks for asset allocation
- Actual-world functions and challenges
Why You Ought to Watch It
- Study sensible functions of machine studying in buying and selling
- Perceive market-making methods and dynamic asset allocation
- Achieve insights into EPAT alumni initiatives
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Conclusion
QuantInsti’s 2021 webinars lined various matters, from algorithmic buying and selling and machine studying to brief promoting and various information. Whether or not you’re a newbie or an skilled dealer, these webinars present invaluable information that can assist you refine your buying and selling methods.