Multi-Asset Features Engineering in Algorithmic Trading | Boost Model Accuracy
Multi-Asset Features Engineering in Algorithmic Trading | Boost Model Accuracy #featureengineering #algorithmictrading #machinelearningtrading Looking to improve your machine learning models for trading? In this video, Lucas from Quantreo breaks down how to apply multi-asset feature engineering to create smarter, more robust models. Visit my website for more: https://www.quantreo.com/ π Traditional feature engineering often uses a single asset, limiting the amount of training data available. Lucas explains how you can leverage data from multiple assets to create more meaningful features, improve generalization, and handle deep learning requirements in trading. Learn about techniques like Monte Carlo simulations, cross-asset covariances, and more to build advanced strategies. π Subscribe for weekly quant content and check the links for free templates and the Alpha Quant Program! β Subscribe To My Channel For More Videos: https://www.youtube.com/@quantreo/?sub_confirmation=1 β Important Links: π Website: https://www.quantreo.com/ π Quantreo Lib: https://docs.quantreo.com π100% free Newsletter: https://www.newsletter.quantreo.com β Stay Connected With Me: π Discord: https://discord.com/invite/qGX9JNku67 ============================== β Other Videos You Might Be Interested In Watching: π How to Place Market and Limit Orders on TWS with Python - Easy Step-by-Step Guide | Quantreo https://www.youtube.com/watch?v=Q_c8orNvsto π Machine Learning Models for Trading Explained | Quantreo https://www.youtube.com/watch?v=oiJbsJWTKzc π Build A Machine Learning Trading Model For Profitable Trading | Quantreo https://www.youtube.com/watch?v=-hWcHW8_oXM π Quant Trading Basics for Beginners Explained | Quantreo https://www.youtube.com/watch?v=8GnJV5i-R7Q ============================= β About Quantreo: Create your "Trading Strategies Factory" with the Alpha Quant Program ... Are you struggling to code your trading strategy? Are you struggling to backtest a strategy quickly and properly? Are you struggling to verify the robustness of a trading strategy? Are you struggling to convert you trading strategies into live trading bots on MT5? Are you struggling to integrate Machine Learning in your trading strategies? Are you looking for a premium Quant community? IF YOU ANSWERED "YES" TO ONE OF THESE QUESTIONS, you should take a look of our Alpha Quant Program ! For collaboration and business inquiries, please use the contact information below: π© Email: [email protected] π Subscribe to my channel for more videos: https://www.youtube.com/@quantreo/?sub_confirmation=1 ===================== π Related Phrases: Multi Asset Feature Engineering In Trading, Using Cross Asset Data For Model Training, Machine Learning For Financial Trading, Deep Learning Strategies In Algo Trading, Feature Engineering In Algorithmic Trading, Quantreo Trading Education Series, Quantitative Finance With Python, Create Better Models With More Assets, Monte Carlo Simulation In Trading Features, Alpha Quant Program Strategy Building #quantreo #multiassetdata #quantstrategy #tradingmodels #deeplearningtrading #tradingwithpython #financialdataanalysis #quantresearch #pythontradingbot #alphaprogram #automatedtrading #backtestingtools #modeltrainingfinance #tradingfeatures #dataengineeringtrading #quantml #quantdevelopment Disclaimer: I am not authorized by any financial authority to give investment advice. This video is for educational purposes only. I disclaim all responsibility for any loss of capital on your part. Moreover, 78.18% of private investors lose money trading CFD. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technologies, this work contains or describes are subject to open-source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. This video is not intended as financial advice. Please consult a qualified professional if you require financial advice. Past performance is no indication of future performance. Copyright Disclaimer: Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use Β© Quantreo
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