#766 Alpha Score 58.1

u/anonymous_sheep1

Reddit r/ValueInvesting
· tracked since Jan 2026
766
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Alpha Score 58.1
Calls
6
Win Rate
50.0%
return
+8.2%
Calls 6 8 Posts tracked · 0.0/day
Calls
7d 0
30d 0
90d 0
Win Rate 50% Long 6 Short 0
Win Rate
7d 100%
30d 50%
90d 17%
Average Return +8.2% Long Return +8.2% Short Return -
Average Return
7d +2.1%
30d -0.7%
90d -10.6%
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Result
Result
Sort
Theme Stance
Ticker
Side
Mentions
First Call
Call Price
P&L
Thesis
Theme
Source
Long
Jan 23
$109.13
-6.3%
ABT selloff overdone, wide moat, buy at 13x PE
The author believes the recent earnings selloff in Abbott Laboratories is an overreaction, as a slight top-line miss does not change the company's wide moat and strong earnings beat. He cites personal use of their products and a 13x PE as reasons he likes the price here. The main risk implied is that the market may continue to punish the stock despite fundamentals.
MedTech
Long
Jan 17
$88.07
-50.5%
Boston Scientific cheap after acquisition selloff
The author holds Boston Scientific and argues it is cheap with near-term catalysts after a selloff driven by acquisition news. The mechanism is that the market overreacted to the acquisition, creating upside from current levels. No specific target or timeframe is provided.
MedTech
Long
Jan 05
$182.12
+105.3%
Bullish PANW on secular tailwinds, moat, growth, technical bounce
Author is bullish on Palo Alto Networks, citing cloud migration, zero trust security, and automation tailwinds, a wide moat from holistic platform coverage with costly switching, 16% Q1 2026 sales growth and 24% RPO growth. They see a near-term technical bounce from a daily RSI bullish divergence and consider 2028 LEAPS calls for upside, expecting FCF margin to reach 40%+ by 2028 on acquisition synergies. The main stated risk is competition.
Cybersecurity
Showing 3 of 6 calls · sorted by mentions

u/anonymous_sheep1 has 3 trade ideas tracked on Buzzberg across 6 tickers since January 2026. Ranked #766 on the Buzzberg Alpha leaderboard. Most covered: PEP, MSFT, KMB.

Historical call returns are modeled from recorded ideas and stored prices, not actual brokerage portfolio returns. Check the evaluated call set and horizon; past results do not establish future prediction accuracy. Explore our data and methodology