Analyst Ranking
Bottom 11%
#4403 out of 4922 analysts
Average Return
-2.72%
Win Rate
42%22 out of 53
Risk vs Reward
Poor
Good

Filippo Falorni's 5 best and worst ratings

Name / TickerGain/LossEntry PriceExit PricePeriodRating
Colgate Palmolive CoCL
+44.10%$68.87$99.24
2023-10-10 -
2024-10-10
Strong Buy
Monster Beverage CorpMNST
+37.12%$45.01$61.71
2024-08-07 -
2025-06-27
Strong Buy
Coca Cola CoKO
+28.93%$53.71$69.25
2023-10-10 -
2024-10-10
Strong Buy
Monster Beverage CorpMNST
+23.79%$49.85$61.71
2024-07-10 -
2025-06-27
Strong Buy
Monster Beverage CorpMNST
+19.17%$49.60$59.10
2023-02-28 -
2024-02-29
Strong Buy

Filippo Falorni's Stock Coverage

Name / TickerNo. RatingsRatingPrice TargetUpside/DownsideActionDate
Constellation Brands IncSTZ
6Hold$170.00+5.37%Maintains
12 days ago
Brown Forman CorpBF.B
6Hold$28.00+5.82%Maintains
24 days ago
Kenvue IncKVUE
7Hold$24.50+17.34%Maintains
2 months ago
Coty IncCOTY
9Strong Buy$6.50+41.00%Maintains
2 months ago
Colgate Palmolive CoCL
6Strong Buy$108.00+21.75%Maintains
2 months ago
Procter & Gamble CoPG
5Strong Buy$181.00+13.22%Maintains
2 months ago
Pepsico IncPEP
6Strong Buy$160.00+22.10%Maintains
2 months ago
Monster Beverage CorpMNST
7Strong Buy$70.00+13.43%Maintains
3 months ago
Estee Lauder Companies IncEL
11Hold$55.00-31.33%Maintains
3 months ago
Newell Brands IncNWL
10Hold$4.75-12.68%Maintains
3 months ago
Boston Beer Co IncSAM
10Strong Buy$285.00+49.87%Maintains
3 months ago
Molson Coors Beverage CoTAP
8Hold$57.00+20.15%Upgrades
5 months ago
Kimberly Clark CorpKMB
6Strong Sell$118.00-7.73%Maintains
5 months ago
Keurig Dr Pepper IncKDP
5Strong Buy$40.00+21.77%Maintains
8 months ago
Coca Cola CoKO
5Strong Buy$75.00+6.64%Maintains
a year ago
Church & Dwight Co IncCHD
5Strong Sell$90.00N/ADowngrades
2 years ago
WallStreetZen does not provide financial advice and does not issue recommendations or offers to buy stock or sell any security.

Information is provided 'as-is' and solely for informational purposes and is not advice. WallStreetZen does not bear any responsibility for any losses or damage that may occur as a result of reliance on this data.