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https://github.com/firmai/financial-machine-learning.git
synced 2026-08-05 07:07:45 +00:00
added search term for all categories
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@@ -243,6 +243,57 @@ def search_new_repo_by_category(category: str,
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category,
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min_stars_number=int(min_stars_number * 0.5)
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)
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elif category == 'Extended Research':
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combined_df = search_repo_multiple_terms(['fraud detection',
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'behavioural finance',
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'corporate finance',
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'financial economics',
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'mathematical finance',
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'liquidity finance',
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'fx trading',
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'company life cycle',
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'merger and acquisition',
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'farmland trading',
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'HFT',
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'high frequency trading'
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],
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category,
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min_stars_number=int(min_stars_number * 0.5)
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)
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elif category == 'Courses':
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combined_df = search_repo_multiple_terms(['finance courses',
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'machine learning courses',
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'quantitative finance courses',
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'time series courses',
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'data science courses',
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'financial engineering courses'
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],
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category,
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min_stars_number=min_stars_number * 2
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)
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elif category == 'Data':
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combined_df = search_repo_multiple_terms(['financial data',
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'time series data',
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'company fundamental data',
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'crypto data',
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'earnings data',
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'fixed income data',
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'fx data',
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'etf data',
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'finance database',
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'sec edgar',
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'economic data',
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'investment data',
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'fund data',
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'options data',
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'financial index data',
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'futures data',
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'cryptocurrencies data',
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'money market data'
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],
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category,
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min_stars_number=min_stars_number
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)
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# only find ones that need to be inserted
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if combined_df is not None and not combined_df.empty and existing_repo_df is not None:
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