Mathew K Analytics

📈 Learning path · Intermediate

Finance & Stock Market Analyst

Work with real market data: returns, risk, technical indicators, portfolio optimisation, backtesting and time-series forecasting — finishing with a multi-asset portfolio report.

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  1. 1

    Types of Financial Data: OHLCV, Fundamentals, and Sentiment Explained

    Finance and Stock Market Analytics · 24 min · 🧠 quiz

  2. 2

    Understanding OHLCV Data in Finance: Open, High, Low, Close, and Volume Explained

    Finance and Stock Market Analytics · 24 min · 📊 dataset · 🧠 quiz

  3. 3

    Python Data Analytics #11: Fetching & Cleaning Real Stock Price Data in Python

    Real-World Data Analytics · 27 min · 📊 dataset · 🧠 quiz

  4. 4

    Python Data Analytics #12: Portfolio Returns, Risk & the Efficient Frontier in Python

    Real-World Data Analytics · 31 min · 📊 dataset · 🧠 quiz

  5. 5

    Python Data Analytics #13: Technical Indicators on Real Price Series in Python

    Real-World Data Analytics · 23 min · 📊 dataset · 🧠 quiz

  6. 6

    Python Data Analytics #14: Volatility Analysis & Rolling Risk Metrics in Python

    Real-World Data Analytics · 32 min · 📊 dataset · 🧠 quiz

  7. 7

    Python Data Analytics #15: Correlation & Diversification Across Real Assets

    Real-World Data Analytics · 30 min · 📊 dataset · 🧠 quiz

  8. 8

    Python Data Analytics #16: Backtesting a Simple Trading Strategy in Python

    Real-World Data Analytics · 31 min · 📊 dataset · 🧠 quiz

  9. 9

    Python Data Analytics #17: Real Cryptocurrency Market Analysis in Python

    Real-World Data Analytics · 30 min · 📊 dataset · 🧠 quiz

  10. 10

    Python Data Analytics #18: Company Fundamentals from Real Financial Statements

    Real-World Data Analytics · 27 min · 📊 dataset · 🧠 quiz

  11. 11

    Python Data Analytics #19: Value-at-Risk & Drawdown Analysis in Python

    Real-World Data Analytics · 31 min · 📊 dataset · 🧠 quiz

  12. 12

    Foundations of Time Series Analysis: Understanding Trend and Seasonality in Data

    Python For Time Series · 16 min · 🧠 quiz

  13. 13

    Understanding Trend, Seasonality, Cyclicity, and Noise in Time Series Analysis

    Python For Time Series · 19 min · 🧠 quiz

  14. 14

    Understanding Stationarity and the Augmented Dickey-Fuller Test in Time Series Analysis

    Python For Time Series · 14 min · 🧠 quiz

  15. 15

    Seasonal ARIMA and SARIMAX in Python: A Guide to Time Series Forecasting

    Python For Time Series · 17 min · 🧠 quiz

  16. 16

    Python Data Analytics #20: Finance Capstone — Real Multi-Asset Portfolio Report

    Real-World Data Analytics · 29 min · 📊 dataset · 🧠 quiz