Stocks analysis using python packages

This notebook plots the following stock charts:

1. Price and Volume charts
2. Price, SMA, and EMA charts
3. Price, SMA-50, and SMA-200 charts

yf_ta_part1.properties under config folder has the following parameters that you can configure to pass to the notebook:

• TICKER - Ticker symbol, e.g., MSFT, this must be a ticker symbol
• START - start date, e.g. 2021-01-01. This property needs to be adjusted for a ticker as some of them may not have older data
• TEMPLATE - template for display, it must be one of plotly's template types, e.g. plotly_dark, check Theming and templates in Python for other templates
• TICKERS  -  list of similar stocks to compare performance. You can also add an index such as Nasdaq 100 (^NDX) to the list

Stock Technical Analysis uses the following main packages:

• yfinance - reading stocks data
• TA Lib - Technical Analysis, e.g., SMA, EMA calculations
• plotly - plotting graphs
• jproperties - reading the property file
• pandas - date utilities

An example of a chart showing Price and Volume:

• Plot Moving Averages using Python APIs

This notebook plots the following stock charts:

1. Candlestick
2. RSI and Volume
3. Bollinger Bands
4. MACD

• Plot Candlestick, RSI, Bollinger Bands, and MACD charts using yfinance Python API

This notebook inserts Earnings data into MongoDB Atlas database

• Company Earnings and Income Dashboards with MongoDB and Alpha Vantage API

• Company Earnings and Income Dashboards with MongoDB and Alpha Vantage API

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• Calculate Weighted Average Cost of Capital (WACC) using Python APIs

• How to Calculate Intrinsic Value of a Stock Using DCF model in Python

• A Simple Stock Picking Strategy with 6 key Financial Metrics - Part 1

• A Simple Stock Picking Strategy with 6 key Financial Metrics - Part 2

• Scan for ASX dividend stocks with 5 Key Financial Metrics

• Creating a simple Stock Portfolio Dashboard in Python

• Historical P/E Ratio as a Valuation Analysis Technique

• Fundamental Analysis for ranking Stocks with Python API

• Piotroski Score to find value stocks with Python API

• Accessing company financials using the SEC Financial Statement Data Sets

• Accessing company financials using the SEC Financial Statement Data Sets - Part 2 (Enhancements)

• How to calculate Altman Z-Score using yfinance Python API

• How to calculate historical Altman Z-Score using Python

• Accessing company financials using the SEC Financial Statement Data Sets — Part 3 (Enhancements)