This notebook explores visualizing historical price data for Bitcoin. A colorized candlestick chart helps visualize daily price trends and larger time frame price trends together: https://en.wikipedia.org/wiki/Candlestick_chart

Fetching Historical Price Data¶

• Use GDAX Exchange API: https://docs.gdax.com/#get-historic-rates
• Parse data and coerse into Pandas DataFrame

Candlestick Chart¶

Use matplotlib and mpl finance library for candlestick support: https://github.com/matplotlib/mpl_finance

Chart shows:

• Bitcoin prices organized by day (in UTC)
• X-axis is Date
• Y-axis is Price at Open, High, Low, and Close of the day

Interpretation¶

• Color:
  • Green candlesticks are "bullish" trend days (increased price)
  • Red candlesticks are "bearish" trend days (decreased price)
• Body: Difference between open and close, day's trend strengh
• Shadows: Day's price range, high above open/close, low below open/close
more ...