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added search terms for data/portfolio construction/factor

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Bin Yang
2021-04-12 14:27:25 -04:00
parent 1e808ad899
commit b7fbc3f984
3 changed files with 36 additions and 6 deletions
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.github/workflows/repo_status.yml
+1 -1
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@@ -21,7 +21,7 @@ jobs:
uses: actions/setup-python@v2 uses: actions/setup-python@v2
with: with:
python-version: 3.7 python-version: 3.7
d
- name: Install dependencies - name: Install dependencies
run: | run: |
python -m pip install --upgrade pip python -m pip install --upgrade pip
.github/workflows/wiki_gen.yml
+5 -5
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@@ -25,11 +25,11 @@ jobs:
python -m pip install --upgrade pip python -m pip install --upgrade pip
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
# - name: execute py script # run the run.py to get the latest data - name: execute py script # run the run.py to get the latest data
# run: | run: |
# python git_status.py python git_status.py
# env: env:
# GIT_TOKEN: ${{ secrets.GIT_TOKEN }} GIT_TOKEN: ${{ secrets.GIT_TOKEN }}
- name: execute py script # run the wiki_gen - name: execute py script # run the wiki_gen
run: | run: |
git_status.py
+30
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@@ -154,6 +154,36 @@ def search_new_repo_by_category(category: str,
category, category,
min_stars_number=min_stars_number min_stars_number=min_stars_number
) )
elif category == 'Data Processing Techniques and Transformations':
combined_df = search_repo_multiple_terms(['data transformation trading',
'data transformation finance',
'data transformation time series'],
category,
min_stars_number=min_stars_number
)
elif category == 'Portfolio Selection and Optimisation':
combined_df = search_repo_multiple_terms(['portfolio optimization machine learning finance',
'portfolio optimization machine learning trading',
'portfolio construction machine learning finance'
'portfolio construction machine learning trading',
'portfolio optimization finance',
'portfolio optimization trading'],
category,
min_stars_number=min_stars_number
)
elif category == 'Factor and Risk Analysis':
combined_df = search_repo_multiple_terms(['risk factor finance',
'risk factor trading',
'risk premia factor finance'
'risk premia factor trading',
'style factor finance',
'style factor trading',
'macro factor finance',
'macro factor trading'
],
category,
min_stars_number=min_stars_number
)
# only find ones that need to be inserted # only find ones that need to be inserted
if combined_df is not None and existing_repo_df is not None: if combined_df is not None and existing_repo_df is not None: