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Скачать или смотреть Machine Learning in Trading with Ernest Chan | Real Capabilities & Applications of AI

  • Quantra
  • 2024-03-25
  • 982
Machine Learning in Trading with Ernest Chan | Real Capabilities &  Applications of AI
Machine Learning in TradingAI in Financial MarketsMetalabelingML for Trading StrategiesFeature SelectionQuantitative TradingAutomated TradingPredictive ModelingReal-Time Data InsightsPython for TradingBacktesting StrategiesFinancial MarketsTrading EducationDr. Ernest ChanDr. Lopez de PradoErnest ChanTrading Signal Extraction
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Описание к видео Machine Learning in Trading with Ernest Chan | Real Capabilities & Applications of AI

📢 Algorithmic Trading Conference 2025 by QuantInsti
🗓 Date: 23 September 2025
🕕 Time: 6:00 PM IST | 8:30 AM EDT | 8:30 PM SGT
Explore how AI, GenAI, and LLMs are reshaping trading and finance. Hear from global leaders including Tucker Balch, Peter Cotton, Faisal Mohammed, Matteo Campellone, Dimitri Bianco, and Prodipta Ghosh.
🚨 Spots are limited. Save your seat now!
🔗 https://www.quantinsti.com/algorithmi...
_______________________________
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Welcome to this insightful discussion on the unique benefits of using machine learning (ML) as a trading tool! 🤖📊 In this video, we explore the true capabilities and limitations of ML and AI in financial markets, including how they can enhance trading strategies that go beyond what traditional tools offer. 🚀

Dr. Ernest Chan shares his expertise on the situations where ML and AI are indispensable, specifically when dealing with complex relationships between variables, or when there are too many features for a human trader to analyze effectively. You’ll learn why ML is crucial for extracting valuable signals from a vast number of inputs and how it helps in crafting a profitable trading strategy that isn't just investment-focused. 🧠✨

We also dive into metalabeling, a concept popularized by Dr. Lopez de Prado, and explain how ML can be used as a second layer to improve existing trading strategies by predicting when a basic strategy is likely to fail. This gives traders an edge that traditional quantitative approaches cannot provide. 💹🔍

For those interested in building trading strategies using ML, we cover practical tips on using Python to combine weak features into powerful trading indicators and backtesting them effectively. By the end of this video, you'll understand the best financial markets to apply ML and how to maximize its potential for momentum trading. 📊💡

Want to learn more? Take your skills further with Quantra's course on Advanced Momentum Trading: Machine Learning Strategies 📚. You'll learn to create, test, and optimize momentum-based trading strategies using ML models to maximize your trading potential. Learn more here: https://quantra.quantinsti.com/course...

Kickstart your journey into quantitative trading with Quantra's beginner learning track 🎓: Find more information here: https://quantra.quantinsti.com/learni...

📢 Don’t forget to Like 👍, Share 🔄, and Subscribe 🔔 to stay updated on the latest in AI, machine learning, and advanced trading strategies. Spread the word to fellow traders looking to enhance their trading skills with cutting-edge techniques! 🚀

Connect with Quantra:

👍 Like us on Facebook:   / goquantra  
🐦 Follow us on Twitter:   / goquantra  

Keywords: Machine Learning in Trading, AI in Financial Markets, Metalabeling, ML for Trading Strategies, Feature Selection, Quantitative Trading, Automated Trading, Predictive Modeling, Real-Time Data Insights, Python for Trading, Backtesting Strategies, Financial Markets, Trading Education, Dr. Ernest Chan, Dr. Lopez de Prado, Ernest Chan, Trading Signal Extraction

Hashtags: #MachineLearning #TradingStrategies #AIinTrading #MLForTrading #Metalabeling #QuantitativeTrading #PythonTrading #AutomatedTrading #TradingEducation #FinancialMarkets #PredictiveModeling #LiveTrading #DataDrivenTrading

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