đź“šFind the book:https://www.amazon.com/Python-Finance-Algorithmic-Trading-ready/dp/B09HG18CYL
The financial sector is undergoing significant restructuring. Traders and portfolio managers are increasingly becoming financial data scientists. Banks, hedge funds, and fintech are increasingly automating their investments by integrating machine learning and deep learning algorithms into their decision-making process. This book aims to present the benefits of portfolio management, statistics, and machine learning applied to live trading with MetaTrader 5.
- Learn portfolio management technics and how to implement your optimization criterion
- How to backtest a strategy using the most valuable metrics in trading
- Import data from your broker to be as close as possible to the market
- Learn statistical arbitrage through pairs trading strategy
- Generate market predictions using machine learning, deep learning, and time series analysis
- Learn how to find the best take profit, stop loss, and leverage for your strategies
- Combine trading strategies using portfolio management to increase the robustness of the strategies
- Connect your Python algorithm to your MetaTrader 5 and run it with a demo or live trading account
- All codes in the book can be used for live trading or screener if you prefer manual trading
MetaTrader configuration explanation: https://www.youtube.com/watch?v=ZXrjwTds4vU&list=PLGaqkGqYH255Vt9EOhhLqFTDFo1Opnya2
Disclaimer: I am not authorized by any financial authority to give investment advice. This book 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 is 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 book is not intended as financial advice. Please consult a qualified professional if you require financial advice. Past performance is no indication of future performance.