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mplfinance TODO

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• Customizing the Appearance of Plots (colors, date format, style, etc)
  • style (colors, etc)
• secondary_y=[True|False|auto] (default is auto) for both panels, and for each call to addplot()
• third panel subplot
• mpf.axplot() to be able to create unlimited subplots

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DONE. Awaiting Release of version 0.12.1

• README.md : provide a link for examples folder, at the end of "Basic Usage" just before "Release Notes"
• no_xgaps deprecated in favor of show_nontrading
• block=False for non-blocking call to mpf.plot()
• Customizations:
  • ability to modify plot aspect ratio (not just scale size)
  • customize Title and Axis Labels

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• Add a "deprecation" warning for mpl-finance APIs.   (Can these be coded to write out only once after import?)
  • https://github.com/matplotlib/matplotlib/blob/0ea20132e306c4607617b61dca7143ea34d30ad0/lib/matplotlib/cbook/deprecation.py#L114-L170
  • https://github.com/matplotlib/matplotlib/blob/0ea20132e306c4607617b61dca7143ea34d30ad0/lib/matplotlib/cbook/deprecation.py#L56-L111

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What Priority should each of these be ??

• Technical Studies
  • which ones? integrate with tulipy?
  • Prioritize Studies:
    • Bollinger
    • RSI
    • Ichimoku
    • Candle Patterns
    • Renko
• noshow=True and return fig and [axes].
  or, alternatively, accept axis=ax on which to plot OHLC or candlestick data.
• Fix and/or Replace old matplotlib finance documentation:
  https://matplotlib.org/api/finance_api.html
• Show trading signals on plot
• Mouse-over displays plotted values
• (maybe) Automatically determine if addplot values require a secondary_y (twinx).
• try in _check_and_prepare_data(data) around accessing DataFrame keys: if exception, check for whitespace in column names and raise key-error exception with more specific error message (unexpected white space in column names for 'Open', 'High', 'Low', 'Close' and/or 'Volume').
• Clean up axis labels
• Title for Figure.
• Axis Labels
• Legend (?)
• Volume Profile: https://stackoverflow.com/questions/58517234/using-a-charting-library-to-overlay-volume-profile-on-a-candlestick-chart-in-pyt

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DONE

• README: use absolute (vs relative) links in "Contents" section, so links will work on PyPI.
  • keep in mind this will mean links on PyPI will send user back to analogous place in README on GitHub, due to the limitations described here: https://github.com/pypa/warehouse/issues/4064
• README: near bottom, link to examples folder (not to a specific example notebook).
  Better yet remove this section and create an Examples section (with its own internal link) near the top of the README.
  • clean up examples folder (create scratch subfolder).
• Release Notes: fix typo in date 2019-13-20 -> 2019-12-20
• Ability to Save plot to File (png, etc)