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https://github.com/apsinghanalytics/bearmarketfollowthroughs
Python Script for Calculating and Visualization Follow Through Rallies during Bear Markets
https://github.com/apsinghanalytics/bearmarketfollowthroughs
bear-market data-visualization powerbi recession stock-market time-series
Last synced: 8 days ago
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Python Script for Calculating and Visualization Follow Through Rallies during Bear Markets
- Host: GitHub
- URL: https://github.com/apsinghanalytics/bearmarketfollowthroughs
- Owner: apsinghAnalytics
- License: mit
- Created: 2023-07-18T06:58:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-17T03:59:35.000Z (9 months ago)
- Last Synced: 2024-02-17T04:29:47.886Z (9 months ago)
- Topics: bear-market, data-visualization, powerbi, recession, stock-market, time-series
- Language: Python
- Homepage:
- Size: 2.78 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# BearMarketFollowThroughs
Python, Power BI system for Autonomous Early Bull Market Trends (Follow-Through Rallies) Detection and Visualization during Bear Markets* Follow-through rallies during bear markets are often a good indicator of the early beginnings of a bull market.
* A self-explanatory script 'main_FollowThrough.py' calls on historical S&P500 (since 1995) data from the financialmodelingprep.com API (subscription req.) and then identifies periods of bear market, bear market rallies, and follow-through rallies.
* The data is then exported to 'S&PHistoricalWithBear.xlsx' which is linked with the PowerBI file 'Analysis.pbix' for the visualization of the data as shown below: