Python Quant:

Accelerated Quantitative Research & Algorithmic Trading

Join our exclusive webinar and elevate your Python skills and capabilities in quantitative research and algorithmic trading by harnessing the power of Python Quant. We'll demystify this powerful AI technology with clear explanations and working code walk-throughs.

Key Takeaways

• Understand Python's Quant's Role in Quantitative Finance: An overview of how Python Quant can be utilized in quantitative finance, including its versatility and the extensive ecosystem of libraries like pandas, numpy, scipy, matplotlib, yfinance, QuantLib, and TA-Lib.
  
  
• Insights into Quantitative Trading Strategies: Learn about algorithmic trading and strategy development, including backtesting strategies using historical data, and an introduction to applying Python Quant to utilize strategy backtesting libraries like VectorBT.
  
  
• Foundational Knowledge in Derivatives Pricing and Modeling: An introduction to derivatives such as options and futures, basic pricing models like the Black-Scholes model, SABR model for volatility surface modeling, and applying QuantLib for more complex derivatives pricing with Python Quant
  
  
• Risk Management Techniques: Understanding risk metrics such as Value at Risk (VaR), Expected Shortfall, and the application of stress testing, scenario analysis, and Monte Carlo simulations for risk assessment using Python Quant.

• Machine Learning Applications in Finance: Overview of how Python Quant can be used to apply machine learning finance for predictive modeling and anomaly detection, with a brief introduction to libraries like scikit-learn and PyTorch.
  
  
• Portfolio Optimization Methods: Insights into Modern Portfolio theory and portfolio construction and optimization techniques using Python Quant.

• Real-Time Data Processing and Trading Automation: Understanding the importance of real-time data processing in algorithmic trading, methods to connect to live market data feeds, and how to build a basic automated trading system with Python Quant.
  
  
• Interactive Learning through Q&A Session: An opportunity for attendees to ask questions, clarify concepts, and delve deeper into specific areas of interest.
  
  
• Resources for Ongoing Learning: How to get the most out of Python Quant and other resources for further learning and exploration, such as books, online courses, and community forums.

What Previous Webinar Attendees Say

What To Expect

Watch the Introductory Video

Final Registration:  Friday, December 15 

Registration Fee:      $99

Invest in your future success as a quantitative researcher or algorithmic trader. Understand how AI is revolutionising algorithmic trading, equip yourself with knowledge that gives you an edge in the financial markets, and get introduced to Python Quant, a cutting-edge IA tool for quantitative research and trading.

Why Attend?

As passionate professionals in the finance world, we understand that knowledge is a powerful asset. 

Investing in this webinar will be an investment in your future success as a trader.

• Foundational Knowledge: Understand a core concept in artificial intelligence that's revolutionizing algorithmic trading.
  
  
• Competitive Edge: Equip yourself with knowledge that gives you an AI-edge in the financial markets.
  
  
• Technology & Tools: Get introduced to Python Quant and other cutting-edge tools and platforms that can aid in quantitative research and the development and execution of algorithmic strategies.
  
  
• Value for Money: Attendees receive insights, strategies, and knowledge that can potentially lead to profitable trading ideas.

Take the First Step

1️⃣ Reserve your spot by completing the registration form below.

2️⃣ Receive a confirmation with webinar access details.

3️⃣ Prepare to unlock the secrets to success in applying AI to quantitative research and algorithmic trading !

NOTE:  You will be able to select a convenient date and time to attend the webinar.

FAQs

• What are the learning objectives/key takeaways?
  
  • Learn about popular Python libraries used for quantitative analysis
  • See examples of using Python Quant for quantitative trading strategies and backtesting
  • Apply Python Quant for to learn the basics of derivatives pricing and risk management techniques
  • Build a foundational understanding of machine learning and portfolio optimization applications
  • Learn to use Python Quant to build real-time trading applications
    
    
• When can I attend the webinar?
  The webinar will start on Wednesday December 14th and will be repeated daily at regular intervals. You can choose which session to attend.

• What about webinar login details?
  Login details will be provided as soon as you register for the webinar.

• What technical requirements are there?
  The only essential requirement is a fast internet connection from a desktop, tablet or smartphone.
  
  
• How can I access Python Quant?
• Go to:  this link
  
  
• Will you be revealing the source code?
  Yes, we will be distributing the source code, in the form of Python Jupyter notebooks.

• What level of Python programming skill is required?
  Attendees would typically be expected to be able to program in Python to beginner level.
  
  
• What machine learning knowledge is required?
  Attendees are not expected to be machine learning experts, although previous exposure to machine learning concepts would be helpful.
  
  
• What if I haven't studied or applied quantitative research techniques before?
  That won't matter:  the webinar covers the ground from the basics of quantitative research through to trading applications.
  
  
• Is the information actionable?  Will I be able to apply what I learn in my own trading systems?
  Yes: you will learn hands-on how to apply Python Quant to build models and trading systems from scratch.
  
  
• What if I have to reschedule?
  You can reschedule to attend at another time, or watch a recording of the webinar.
  
  
• Will I be able to interact with the presenter and ask questions?
  Yes, there will be a live chat in which you can ask any questions you like.
  
  
• Will I get a recording if I can't attend live?
  Yes, there will be a recording available for a few days after the webinar.  A link to the recoding will be sent to you by email, after the webinar session is ended.
  
  
• Is there a cost to the webinar?
  Yes, there is a cost of $99 to attend the webinar.

TERMS AND CONDITIONS
FOR THE TRADING IN THE AGE OF AI WEBINAR

Registration and Payment:

1.1. By registering for the webinar, participants agree to abide by these Terms and Conditions.

1.2. Registration for the webinar is confirmed upon completion of the registration form and receipt of the registration fee. The registration fee is non-refundable.

Webinar Access:

2.1. Access to the webinar will be provided to registered participants only.

2.2. Participants will receive a unique link via email to access the webinar on the scheduled date and time. It is the participant's responsibility to ensure they have a stable internet connection and compatible device to access the webinar.

Intellectual Property:

3.1. All webinar materials, including presentation slides, videos, and handouts, are the intellectual property of Equity Analytics and/or the respective presenters.

3.2. Participants may not reproduce, distribute, or share any webinar materials without prior written consent from Equity Analytics.

Webinar Content:

4.1. The content provided in the webinar is for informational purposes only and does not constitute financial or investment advice.

4.2. Equity Analytics, the Innovation Factory LLC and the webinar presenters shall not be held liable for any actions taken or decisions made based on the information presented in the webinar.

Confidentiality:

5.1. Participants agree to keep any confidential information shared during the webinar confidential and not to disclose it to any third parties.

Cancellation or Postponement:

6.1. Equity Analytics and the Innovation Factory LLC reserve the right to cancel or postpone the webinar due to unforeseen circumstances, including but not limited to, technical issues, presenter unavailability, or force majeure events.

6.2. In the event of cancellation or postponement, registered participants will be notified via email, and the webinar will be rescheduled.

Participant Conduct:

7.1. Participants are expected to maintain a professional and respectful demeanor during the webinar.

7.2. Any disruptive behavior, including but not limited to, harassment, inappropriate language, or disrespectful comments, will not be tolerated. Equity Analytics and the Innovation Factory LLC reserves the right to remove such participants from the webinar without a refund.

Limitation of Liability:

8.1. Equity Analytics and the Innovation Factory LLC shall not be liable for any direct, indirect, incidental, or consequential damages arising from the use of, or inability to use, the webinar content or materials.

Modifications to Terms and Conditions:

9.1. Equity Analytics and the Innovation Factory LLC reserve the right to modify these Terms and Conditions at any time. Any changes will be effective immediately upon posting on the webinar registration page.

By registering for the webinar, participants acknowledge that they have read, understood, and agree to these Terms and Conditions.

Copyright (c) 2023 Equity Analytics and the Innovation Factory LLC.  All rights reserved.