Numerical Computing with Python

Visualizing various stock market indicators

The candlestick plot in the current form is a bit bland. Traders usually overlay stock indicators such as Average True Range (ATR), Bollinger band, Commodity Channel Index (CCI), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and various other stats for technical analysis.

Stockstats (https://github.com/jealous/stockstats) is a great package for calculating these indicators/stats and many more. It wraps around pandas DataFrames and generate the stats on the fly when they are accessed. To use stockstats, we simply install it via PyPI: pip install stockstats.

Next, we can convert a pandas DataFrame to a stockstats DataFrame via stockstats.StockDataFrame.retype() ...