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Daniel Goldfarb edited this page Apr 3, 2020 · 1 revision

I was using wiki to track work-in-progress, and work done, on mplfinance. But then I decided it's a lot simpler to do that using the list of "Issues".

Now, so as not to loose anything in case there is any info there I want to refer back to at a later date, just gonna archive that page here:

mplfinance TODO

  • Research into External Axes mode to be able to create unlimited subplots:
    (Perhaps through different API name mpf.axplot(), perhaps just mpf.plot(data,ax=axes,...)
    External Axes mode REQUIRES:
    • If volume is not None, then volume must be an axes for volume.
    • All addplot() calls must have also specified their own ax=Axes
      • is secondary_y used just to position the y-ticks/labels, or ignored.
      • certainly we don't twinx() ??
    • Initial experiments indicate that style is not applied if axis is created first, therefore maybe we provide mpf.subplot() to create subplots with the style already applied, and then continue as noted above passing in the axes that were created.
  • ax.set_title('title') via mpf.addplot(title=...) if/when subplots become available
  • third panel subplot (not this time around)

DONE Awaiting release of 0.12.3a3

  • In README.md CHANGE readme_files/readme_29_1.png TO https://raw.githubusercontent.com/matplotlib/mplfinance/master/readme_files/readme_29_1.png (and re-publish to Pypi)
  • minor wording changes to addplot.ipynb
    • "Notice also that we pass an alternative ..." (just above cell [16])
    • "This is done by passing information [get rid of word necessary] (just below cell [2])
    • cell [17] indicate "# this calculation has no financial meaning whatsoever; just generating some data to modify the order of magnitude and range to be able to demonstrate secondary_y on the main panel"

DONE. Awaiting Release of version 0.12.1

  • 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()
  • 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

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

DONE

  • README: use absolute (vs relative) links in "Contents" section, so links will work on PyPI.
  • 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)
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