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Machine Learning for Algorithmic Trading 2nd Edition by Stefan Jansen

  • Publisher: COMPUTER SCIENCE
  • Availability: In Stock
  • SKU: 49958
  • Number of Pages: 822

Rs.1,690.00

Rs.2,150.00

Tags: Advanced Machine Learning in Finance , Advanced Trading Models , Algorithmic Strategy Evaluation , Algorithmic Trading , Algorithmic Trading Insights , Algorithmic Trading Tools , Algorithmic Trading with Python , Alternative Data in Trading , Automated Trading Systems , Backtesting , Case Studies in Algorithmic Trading , Data Science for Quantitative Trading. , Data Science for Trading , Data Wrangling for Traders , Decision Trees in Trading , Deep Learning for Financial Forecasting , Deep Learning for Trading , Developing Trading Algorithms , Financial Data Analysis , Financial Data Preprocessing , Financial Data Science , Financial Forecasting , Financial Modeling , Financial Risk Prediction , Financial Technology , Hands-on Machine Learning for Traders , Keras for Algorithmic Trading , Machine Learning Algorithms , Machine Learning for Financial Risk Management , Machine Learning for Trading , Machine Learning in Finance , Machine Learning Techniques for Traders , Market Data Forecasting , Market Trend Forecasting , Optimizing Trading Strategies , Practical Guide to Algorithmic Trading , Python for Algorithmic Trading , Python for Finance , Python Programming , Quantitative Analysis , Quantitative Finance , Quantitative Trading , Real-World Trading Applications , Reinforcement Learning , Risk Control in Trading , Risk Management in Trading , Statistical Models for Trading , Stock Market Predictions , Supervised Learning , TensorFlow for Trading , Time Series Analysis , Trading Algorithms in Python , Trading Models , Trading Performance Evaluation , Trading Strategies , Trading Systems Development , Trading with Neural Networks , Trading with Support Vector Machines , Unsupervised Learning

Machine Learning for Algorithmic Trading (2nd Edition)

Author: Stefan Jansen
Binding: Paperback
Paper Quality: Black & White Paper
Category: Finance / Algorithmic Trading / Machine Learning
Recommended For: Quantitative analysts, data scientists, traders, and finance students interested in applying machine learning to financial markets

  • Intersection of Finance and Data Science: Explores how machine learning can be applied to financial markets for algorithmic trading.

  • Practical Application: Provides hands-on techniques and methodologies for preprocessing financial data, engineering features, and building predictive models.

  • Trading Strategies: Discusses various trading strategies enhanced by machine learning, including trend-following, mean reversion, and sentiment analysis.

  • Risk Management: Covers techniques for risk management and portfolio optimization using machine learning approaches.

  • Updated Edition: Offers a revised and updated edition with the latest advancements and case studies in machine learning for algorithmic trading.

Conclusion: Machine Learning for Algorithmic Trading 2nd Edition by Stefan Jansen is an essential resource for professionals and enthusiasts in finance and data science seeking to harness the power of machine learning for automated trading. It bridges theory and practice, providing actionable insights and methodologies to enhance trading performance and decision-making processes.

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Writer                   Stefan Jansen (Author)

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