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added other categories search terms

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Bin Yang
2021-04-12 14:58:35 -04:00
parent 69584fa1f1
commit 7ec654ea37
2 changed files with 75 additions and 7 deletions
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README.md
+2 -2
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@@ -1,5 +1,5 @@
[![Repo-Updater](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_status.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_status_weekly.yml)
[![Wiki-Generator](https://github.com/firmai/financial-machine-learning/actions/workflows/wiki_gen.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/wiki_gen_daily.yml)
[![Repo-Updater](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_status.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/repo_status.yml)
[![Wiki-Generator](https://github.com/firmai/financial-machine-learning/actions/workflows/wiki_gen.yml/badge.svg)](https://github.com/firmai/financial-machine-learning/actions/workflows/wiki_gen.yml)
[![Gitter](https://badges.gitter.im/financial-machine-learning/community.svg)](https://gitter.im/financial-machine-learning/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
# Financial Machine Learning and Data Science
git_status.py
+73 -5
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@@ -156,9 +156,12 @@ def search_new_repo_by_category(category: str,
elif category == 'Data Processing Techniques and Transformations':
combined_df = search_repo_multiple_terms(['data transformation trading',
'data transformation finance',
'data transformation time series'],
'data transformation time series'
'data processing trading',
'data processing finance'
],
category,
min_stars_number=min_stars_number
min_stars_number=int(min_stars_number * 0.5)
)
elif category == 'Portfolio Selection and Optimisation':
combined_df = search_repo_multiple_terms(['portfolio optimization machine learning finance',
@@ -166,9 +169,12 @@ def search_new_repo_by_category(category: str,
'portfolio construction machine learning finance',
'portfolio construction machine learning trading',
'portfolio optimization finance',
'portfolio optimization trading'],
'portfolio optimization trading',
'portfolio construction finance',
'portfolio construction trading'
],
category,
min_stars_number=min_stars_number
min_stars_number=int(min_stars_number * 0.5)
)
elif category == 'Factor and Risk Analysis':
combined_df = search_repo_multiple_terms(['risk factor finance',
@@ -181,7 +187,69 @@ def search_new_repo_by_category(category: str,
'macro factor trading'
],
category,
min_stars_number=min_stars_number
min_stars_number=int(min_stars_number * 0.5)
)
elif category == 'Unsupervised':
combined_df = search_repo_multiple_terms(['unsupervised learning finance',
'unsupervised learning trading'
],
category,
min_stars_number=int(min_stars_number * 0.5)
)
elif category == 'Textual':
combined_df = search_repo_multiple_terms(['NLP finance',
'NLP trading'
],
category,
min_stars_number=int(min_stars_number)
)
elif category == 'Derivatives and Hedging':
combined_df = search_repo_multiple_terms(['derivatives finance',
'derivatives trading',
'quantlib trading',
'quantlib finance',
'hedging finance',
'hedging trading',
'option trading',
'option finance',
'delta hedge trading',
'delta hedge finance'
],
category,
min_stars_number=int(min_stars_number * 0.5)
)
elif category == 'Fixed Income':
combined_df = search_repo_multiple_terms(['corporate bond finance',
'corporate bond trading',
'muni bond trading',
'muni bond finance',
'investment grade finance',
'investment grade trading',
'high yield trading',
'high yield finance',
'credit rating trading',
'credit rating finance',
'fixed income trading',
'fixed income finance'
],
category,
min_stars_number=int(min_stars_number * 0.5)
)
elif category == 'Alternative Finance':
# don't include crypto here as it will skew the results, consider putting it as a seperate category
combined_df = search_repo_multiple_terms(['private equity',
'venture capital',
'real estate trading',
'real estate finance',
'alternative asset trading',
'alternative asset finance',
'commodity trading',
'commodity finance',
'farmland finance',
'farmland trading'
],
category,
min_stars_number=int(min_stars_number * 0.5)
)
# only find ones that need to be inserted