* Gave forecasting memory * Fixed scripts, refactored * FIxed poetry lock * edge case check for forecast target * Improved combine and load functionality * Cleaned up translations * Fixed issue with covariates * Fixed issue checking covariates * Another covariates check fix * Ignored regr and linregr warnings * Fixed covariate issues * switched from forecasting to forecast * Finished transition to forecast * Can add entire dataset with one command * Improved combine description * Removed naming covariates * Created new installation * typo * Make plot show dates if available * Added better handling or users without the menu * Removed unused file * Fix * Better handling for nontraditional datasets * Fixed black and pylint * Fixed tests * Added darts install to main tests * Working on darts with CI * Added back test file * Made large tables print better * naive baseline * typo * Finished naive * no dollar on prediction * fixed positive MAPE bug * quick refactoring * Fixed two different args for same thing * added extra patience * linreg mape fix * info fix * Refactored API, bumped to Darts 0.21.0 * Added fixes * Increased verbosity for wrong column * Updated dependencies * Hid warnings * Fixed importing * Fixed tests * Fixed ugly seasonal plotting * Fixed forecast line color * Switched chart output to blue * Simplified lambda_price_prediction_color * fixed residuals * Chnage * Removed darts from CI per Chavi * Added fixes to tests * Added knnfix * Fixed issue where n!= o * Added changes * Added changes * Imrpoved forecast dash * Added Theo notebook * Added enhancements to dash * Added notebook * Added fix for jupyter lab * Added debug stuff * Change * Updated docs * Fixed formatting * Fixed formatting * Removed prints * Filtered some info * Added button to run model * Improved api * Added secret feautr (no peeking Martin) * Cleaned code * Fixed tests * Added test fixes * Added fixes * Fixes * FIxes for pres * Remove bad tests * Removed knn * Fixed issues with removing mc * doc for conda * Added forecast improvements * Added streamlit support * Fixed issues * fix expo with streamlit due to quantile() * fixed performance issues with streamlit for now.. * clean up historical forecast with new trainer * quick fix for regression trainer params * Added fixes * quick fix for other fix for regression trainer params * table formatting for timestamp * potential fix for inf in feature engineered datasets * Basic working in new format * dw * Trying * Fixed issues * Improved graphing * fixing trainer for LR and formatting * doge and linting * page break * automatic cleaning of datasets * automatic cleaning of datasets- fix * Fixed forecast dates * Made dashboard prettier * Added fixes * Added fixes * Added options * Fixed error * remove caching * adding in spinner * Added vairable n_predict in streamlit * Added mypy fix * renaming and range change * new index for n predict * check positive float for window size * Update _index.md * Update _index.md * Update _index.md * Update _index.md * Update _index.md * Update _index.md * Update _index.md * Update _index.md * Update _index.md * renaming * reorg files * Update _index.md * hidden which command for versions * Update _index.md * Update _index.md * which: ns parser * hugo for: which * hugo for: forecasting fix * formatting black * update stock controller test * Lay groundwork for better residual plotting * improved delete to allow for periods in title * improved automatic cleaning of inf * Added new API * Added new API * Added new API * formatting for black * Updated our testing CI * Reverted changes * Added forecast docs * Fixed mypy issues * Fixes tests * Did some refactoring, added a report * new api in streamlit * Added integrated tests * Update _index.md * improved loading in custom dataset * menu spacing * installer fixes * Added docs fixes * Adding comments to test if commit working * Fixed report * naming conventions * formatting * removing unused var * Made last report imporvements * Update README.md * Added fix * Switched to warning * Added fixes * Added fixes * Added fixes * Added fixes * Update economy av view test * Remove forgotten print statement * Update depencencies * Added verbosity to pytest * Added fixes * Fixed pylint * Fixed actions checkout * Added fixes Co-authored-by: colin99d <colin99delahunty@gmail.com> Co-authored-by: Colin Delahunty <72827203+colin99d@users.noreply.github.com> Co-authored-by: James Simmons <simmonsj330@gmail.com> Co-authored-by: minhhoang1023 <40023817+minhhoang1023@users.noreply.github.com> Co-authored-by: Theodore Aptekarev <aptekarev@gmail.com>
REPORTS
This menu has a different concept from remaining menus. It has 2 main goals:
- Generate a personalised report.
- Allow the user to write notes on that notebook (report), as if it was his personal investment diary.
How to create your own personal report
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Copy one of the existing notebook reports as a template, e.g. dark_pool.ipynb.
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Rename that notebook with a name that reflects what you want this notebook to contain, even including your name.
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One of the notebook cells will have a
parameterstag, that's where the papermill will parametrize the notebook. Thus, your variables should be declared there. -
Remove the function calls that you don't care about to build your own report.
-
When building your template notebook, there are 2 type of possible things you can do:
- Create a markdown cell, where you can add a title or a description. E.g.
## Analyst Targets- Create a code cell, where you should both: import a module, and call a function to display a chart or print data. E.g.
from openbb_terminal.stocks.due_diligence import finviz_view finviz_view.analyst(ticker=ticker, export='')
Note: In order to find the name of the function you want, you should either crawl through the codebase (and ask help in discord) or look into our readthedocs (#TODO).
How to run the report
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In config_terminal you may need to change your
PAPERMILL_NOTEBOOK_REPORT_PORTfrom8888. If the notebook generation fails, it is likely that the port selected is not the correct one. -
Start the terminal with
python terminal.py -
Select
reportscontext, and choose from the options selected - which are derived from the .ipynb jupyter notebook files on the reports folder. -
This should prompt you with a filled notebook with name:
<date time>_<report name>_<args>.ipynb. E.g.20210725_193517_dark_pool_AMC.ipynb -
Due to the last cell of the notebook, the report is saved by default as
.html. E.g.20210725_193517_dark_pool_AMC.htmlfolder = "notebooks/reports/" extension = ".ipynb" !jupyter nbconvert {report_name} --to html --no-input -
You can now write your own personal notes on the notebook. By doing:
- Click on the notebook cell that you are interested in writing your notes
- On the toolbar click on "+" to add a new cell
- On the toolbar click on "Cell" -> "Cell Type" -> "Markdown"
- You're now ready to write your own notes
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Once you're happy with your report, you can either:
- Re-run the last cell, potentially changing output from
.html: - Or, on the toolbar click on "File" -> "Download as" -> Select your preferred option (e.g. HTML)
- Re-run the last cell, potentially changing output from