5. Price & Tick Data in MT5 Using Python – Accessing Market Quotes - Part 1
In this first part of the video on Price and Tick Data in MT5 using Python, we explore how to retrieve historical market data using the copy_rates_from and copy_rates_from_pos functions. You'll learn how to extract price data, understand timeframes, and structure it into a Pandas DataFrame for further analysis. This video is essential for anyone looking to work with historical price data in algorithmic trading. Stay tuned for the next part, where we’ll dive deeper into additional data retrieval methods!
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Risk Disclosure :
Trading in financial instruments and cryptocurrencies involves high risk, including the potential for significant losses. These markets are highly volatile, and external events can impact prices unpredictably. Margin trading increases these risks. Before engaging in trading, ensure you understand all risks and costs involved, assess your objectives, experience level, and risk tolerance, and consider seeking professional advice. This content is for educational and entertainment purposes only and does not constitute financial or investment advice. The content creators or distributors of this video are not responsible for any losses or consequences arising from reliance on this information.
Content Creator: Viktor Melamed, CFA, FRM
I’m an algorithmic trading developer with expertise in MQL4, MQL5, and Python, and a strong background in financial markets and quantitative strategies. My goal is to make algorithmic trading concepts accessible and provide practical insights into developing automated systems. Some content in my videos is created with the help of AI tools, ensuring a blend of efficiency and accuracy. For more information visit my website: https://tradepretty.com
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