/Upstox

This GitHub repository hosts a comprehensive analysis notebook for Upstox, a popular online stock trading platform, with a powerful Medallion architecture. The analysis is designed to provide insights into your trading strategies, portfolio performance, and market trends.

Primary LanguageJupyter NotebookMIT LicenseMIT

Upstox ETL with Medallion Architecture

Description:

I've just completed an exciting ETL journey, leveraging the power of Medallion architecture! 🚀 This Python notebook seamlessly extracts, transforms, and loads data from my Upstox trading account into a multi-tiered storage system: Bronze, Silver, and Gold layers. It's a powerful way to enhance data management, analytics, and decision-making in my trading activities.

Key Highlights:

📊 Medallion Architecture: Designed to efficiently handle data at scale, ensuring robust ETL processes that can grow with my trading data needs.

🔗 Upstox Integration: Seamlessly connect with my Upstox trading account to retrieve real-time and historical data.

🛠️ ETL Workflow: Perform data extraction, apply transformations, and load the processed data into multiple layers to facilitate various analytics and reporting needs.

📈 Bronze, Silver, Gold Layers: Structured storage tiers for raw data (Bronze), cleaned and transformed data (Silver), and curated data ready for analysis (Gold).

📊 Presentation Layer: Another companion notebook creates interactive visualizations and insights from the Gold layer data, making it easier to understand my trading performance and make informed decisions.

📓 Educational Tool: A valuable resource for traders looking to optimize their data analysis workflow.

👩‍💼 Financial Decision Support: Empowering traders with data-driven insights to improve decision-making and optimize their trading strategies.

Stay tuned for the upcoming presentation layer notebook! 📊💡

Feel free to explore, contribute, or share this notebook with fellow traders. Let's navigate the world of data-driven trading together! 📈💰

#DataAnalytics #TradingStrategies #MedallionArchitecture #ETLProcess #UpstoxData #DataDrivenDecisions #FinanceTech #DataInsights