Automate Stock Analysis with Python: Boost Portfolio ManagementAutomate Stock Analysis with Python: Boost Portfolio Management
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Aditya Singh
• May 8
Role: Quantitative Developer
Description: Built a custom Python toolkit designed for automated stock return analysis and risk-reward plotting. This project streamlines the portfolio management process by visualizing technical indicators and identifying optimal entry/exit points based on historical data.
Tools: Python, Matplotlib, SQL. Impact: Automated the generation of technical reports, replacing 4+ hours of manual spreadsheet work.
Financial AnalysisData AnalysisData EngineeringpandasMatplotlibPython
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