Predict Trends in STOCK MARKETS using AI & Python Programming

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Details

Stocks + AI
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Details
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QuantInsti®, it is one of the world's most impactful algorithmic & quantitative trading institutes, established since 2010. With traders, quants, analysts, coders as trainers, it aims to bridge the gap between theory and practice. Quantra® by QuantInsti brings to you this online coding session which will help you actually code and run a predictive model on financial markets data.

Why should you attend this webinar?
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This webinar is a hands-on learning session, where you will work directly on a Jupyter Notebook to create a classification tree model. The predictor variables are technical indicators which predict the market trends. We will understand the intuition behind each of these indicators and how to use them. The target variable is a one-day future trend. The classification tree we create will help us build trading rules for when the future return is expected to be positive or negative. We will work on the US equities markets data to create the necessary trading indicators.

Language:
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English

Speaker Profile:
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Mr. Varun Diwaker, AI Expert & Faculty at QuantInsti

Varun heads the Quantra Research & Development team at QuantInsti. His team is responsible for creating quality content related to trading strategies using Quantitative & Machine Learning techniques. He has worked as the Algorithmic Trading Consultant for a New York-based firm and as a successful commodities trader with Futures First. He has over 12 years of experience in financial markets both as a manual and quant trader.

Date:
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5 September 2019 (Thursday)

Time:
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8:00 - 9:00 pm Lecture (Online Webcast)
9:00 - 10:00 pm Q&A

Frequently Asked Questions
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What if I miss the webinar?
If you are registered to the webinar, we will send you the recording of the session, along with the Jupyter notebook and data files so that you can learn at your leisure. The webinar recording will also be uploaded on our Youtube channel (https://www.youtube.com/c/Quantra)

Cost:
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Free

** REGISTRATION PAGE WILL BE SENT ON AROUND COMING TUES 27th AUG **

Here is the registration page link :) (Updated on 28th Aug)
http://bit.ly/HKAIOnlineEvent