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As a seasoned Python developer with extensive experience in data scraping, data analysis, and financial market applications, I'm confident in my ability to deliver a comprehensive solution for your stock data acquisition and analysis needs. My passion for financial technology and my proven track record in building robust data pipelines make me the ideal candidate for this project.
I understand your requirement to develop a Python application that automates the download of historical intraday and daily stock data for all NYSE tickers from a provided list. The application should include the calculation and storage of a range of trading indicators for the past five years, updated daily, and saved in CSV format.
My expertise directly aligns with the project's requirements. I possess strong proficiency in Python programming, including libraries like Pandas, NumPy, and Matplotlib for data manipulation and analysis. Additionally, I am familiar with various financial data APIs and scraping techniques for efficient data acquisition. My experience in building automated data processing pipelines ensures timely and accurate data extraction and analysis.
Python 3
Pandas
NumPy
TA-Lib
Matplotlib (for potential visualization)
Libraries for API interaction (if applicable)
I am confident in my ability to deliver a high-quality, reliable solution that meets your specific requirements. I would be happy to discuss the project further with you and provide a detailed breakdown of the project timeline, deliverables, and pricing.
I am committed to delivering a high-quality product, adhering to best practices and ensuring clean, documented code. Communication is key, and I will provide regular updates throughout the project to keep you informed of progress. I am confident in my ability to deliver a successful solution within the agreed-upon timeframe.
Let's discuss your project and explore how I can help you achieve your financial data analysis goals.
Best regards,
Giáp Văn Hưng