Mad-Money-Backtesting
Unverified Other strategy on Multi by gaborvecsei. BotFinder score 18 out of 100.
Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
Source: github
BotFinder analysis pending.
Mad-Money-Backtesting
Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio The Cramer-effect/Cramer-bounce: After the show Mad Money the recommended stocks are bought by viewers almost immediately (afterhours trading) or on the next day at market open, increasing the price for a short period of time. You can read about the setup and results in my Blog Post You can also access the data easily with the Flat Data Viewer How to use this repo - Automatic data scraping (with Github Actions): Every day at 00:00 the scrapemadmoney.py tool runs and commits the data (if there was a change) to this repo. Feel free to use the created .csv file for your own projects - (Why do we scrape the whole data range every day?): This way we can see the changes from commit to commit. If anything happens which would alter the historical data, we would be aware. - ("manual") Data scraping: Use the scrapemadmoney.py to get the buy and sell recommendations Cramer made over
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How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)