Let's take a look at the stock picking abilities of those US stock content creators over the weekend. Our screening approach is simple—exclude the overall market movement itself (Beta returns), and focus only on whether they can outperform or underperform expectations (Alpha excess returns).
The backtesting logic is as follows: • Enter at the opening price on the next trading day • Hold for a fixed period of 7 trading days • No stop-loss or take-profit throughout, let the data speak
The core metric is Alpha—that is, the actual stock price change minus the S&P 500 return. How to calculate it correctly? Two scenarios:
✅ Stocks that are bullish and ultimately outperform the market = correct judgment ✅ Stocks that are bearish and ultimately underperform the market = also correct judgment
This methodology effectively filters out luck factors from simply following the market's rise and fall, helping us identify high-quality content creators with genuine stock research ability. The full December performance report is out, and interested friends can compare each blogger’s actual performance with expected deviations.
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HorizonHunter
· 3h ago
This Alpha scoring system is really tough; finally, you can see who truly has skills and who is just relying on luck.
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PuzzledScholar
· 3h ago
Wow, this testing method is pretty intense, directly stripping away luck's cover.
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SadMoneyMeow
· 3h ago
Uh, looking at it this way, most bloggers are just jumping on the bandwagon to sell products, and there are only a few who are truly skilled.
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SocialFiQueen
· 3h ago
I like this Alpha screening method. Finally, someone has revealed the true level of these bloggers. Weren't they just relying on storytelling before?
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GateUser-44a00d6c
· 3h ago
This backtesting logic is brilliant; finally, someone has uncovered the "true skills" of these bloggers.
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BearMarketGardener
· 3h ago
Wow, this is the real "truth detector." Finally, someone has exposed these contestants.
Let's take a look at the stock picking abilities of those US stock content creators over the weekend. Our screening approach is simple—exclude the overall market movement itself (Beta returns), and focus only on whether they can outperform or underperform expectations (Alpha excess returns).
The backtesting logic is as follows:
• Enter at the opening price on the next trading day
• Hold for a fixed period of 7 trading days
• No stop-loss or take-profit throughout, let the data speak
The core metric is Alpha—that is, the actual stock price change minus the S&P 500 return. How to calculate it correctly? Two scenarios:
✅ Stocks that are bullish and ultimately outperform the market = correct judgment
✅ Stocks that are bearish and ultimately underperform the market = also correct judgment
This methodology effectively filters out luck factors from simply following the market's rise and fall, helping us identify high-quality content creators with genuine stock research ability. The full December performance report is out, and interested friends can compare each blogger’s actual performance with expected deviations.