Backtesting and Optimization Explained | Algorithmic Trading Essentials
From Skill Gap to Quant Career | Free Live Webinar | 18 June
Quant firms are hiring at prop desks, hedge funds, fintechs, and family offices. Most candidates are not missing an opportunity. They are missing the right preparation.
This session covers what firms actually hire for, how EPAT is built around those requirements, and how alumni with no prior quant background broke into the industry.
Real stories. Real outcomes. Live Q&A at the end.
Free to attend | 18 June | 7 PM IST | 9:30 AM EDT
Register Now: https://bit.ly/4ezmAfg
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. A quant fund manager + A HFT prop desk founder + A quant teacher = a session worth watching
On 9 April, we hosted Kelvin Foo, Dr Gaurav Raizada, and Vivek Krishnamoorthy for a workshop on Algorithmic Trading & Options Risk Management.
Watch the recording:
www.quantinsti.com/articles/algorithmic-trading-python-ai-options-risk-management-webinar/
.
. A quant fund manager + A HFT prop desk founder + A quant teacher = a session worth watching
On 9 April, we hosted Kelvin Foo, Dr Gaurav Raizada, and Vivek Krishnamoorthy for a workshop on Algorithmic Trading & Options Risk Management.
Watch the recording:
www.quantinsti.com/articles/algorithmic-trading-python-ai-options-risk-management-webinar/
.
. 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
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Free Quantitative Trading Learning Track: 34 Hours of In-Depth Training in Python, Machine Learning, and Trading Strategies for Beginners. Enroll Now: https://bit.ly/3TsrgJh
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Unlock the Secrets of Backtesting and Optimization! ⚖️⚛️ This video is part of the "Getting Started with Algorithmic Trading" course and provides an in-depth look at backtesting and optimization techniques for algorithmic trading.
What You’ll Learn:
What is Backtesting? Understand how to evaluate your trading strategies using historical data to measure performance and refine decision-making. Learn the difference between in-sample and out-of-sample performance and why consistency is critical. 📊⚡️
Avoiding Overfitting: Discover the pitfalls of overfitting and how it can cause strategies to fail on live market data. Learn techniques to ensure robust backtesting for consistent results. 🔧💰
Types of Backtesting:
Research Backtesting: Used for rapid approximations and initial evaluations of strategy ideas.
Event-Driven Backtesting: Simulates real-time trading with historical data feeds for precise performance evaluation.
Why Choose Algorithmic Trading? Preview the next segment to understand the advantages of automation over manual trading. 🚀⚖️
Helpful Resources:
Quantra’s Backtesting Trading Strategies Course: Explore in-depth backtesting methods and develop winning strategies. Start now: https://quantra.quantinsti.com/course...
Getting Started with Algorithmic Trading Course: Learn the basics of algorithmic trading with hands-on guidance. Enroll here: https://quantra.quantinsti.com/course...
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Keywords: backtesting, algorithmic trading, in-sample vs out-of-sample, event-driven backtesting, research backtesting, trading strategies, optimization, financial markets, algorithmic trading basics, algo trading course, stock market analysis
Hashtags: #Backtesting #AlgorithmicTrading #StockMarket #AlgoTradingCourse #StockMarketCourses