#621 Alpha Score 69.7

Jang Woo-jin

Writer
· tracked since Jan 2026
621
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Alpha Score 69.7
Calls
284
Win Rate
37.1%
return
+3.9%
Calls 284 158 Posts tracked · 0.6/day Posted today
Calls
7d 4
30d 17
90d 33
Win Rate 37% Long 279 Short 5
Win Rate
7d 45%
30d 46%
90d 48%
Average Return +3.9% Long Return +4.1% Short Return -7.6%
Average Return
7d -1.1%
30d +1.4%
90d +8.9%
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Result
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Side
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Thesis
Theme
Source
Long
Sep 18
$208.99
-0.6%
Generac wins Amazon backup generator deal.
Amazon signed a backup-generator supply contract with Generac and received warrants, echoing Nvidia's optical investments. The deal shows how desperate data centers are for power and should keep Generac and related power-generation names in focus.
Grid Equipment
Long
Sep 16
$6080.00
+18.3%
Fuel cells benefit from AI power bottleneck
Power, not chips, is becoming the real AI data-center bottleneck. Time-to-power matters more than LCOE, favoring on-site SFC/PAFC fuel cells. Blue Energy is the SFC leader with capacity to expand from 1GW to 2GW and eventually 5GW; Doosan Fuel Cell's PAFC is entering Big Tech; component makers such as HanSun Engineering, Amosense, and Vinatech benefit from related capex, with Vinatech showing strong revenue growth.
Other
Long
Sep 16
$12970.00
+4.1%
Fuel cells benefit from AI power bottleneck
Power, not chips, is becoming the real AI data-center bottleneck. Time-to-power matters more than LCOE, favoring on-site SFC/PAFC fuel cells. Blue Energy is the SFC leader with capacity to expand from 1GW to 2GW and eventually 5GW; Doosan Fuel Cell's PAFC is entering Big Tech; component makers such as HanSun Engineering, Amosense, and Vinatech benefit from related capex, with Vinatech showing strong revenue growth.
Shipbuilding
Showing 3 of 284 calls · sorted by mentions

Jang Woo-jin has 284 trade ideas tracked on Buzzberg across 283 tickers since January 2026. Win rate 37% across 283 evaluated calls, average return +3.9%. Ranked #621 on the Buzzberg Alpha leaderboard. Most covered: 000660.KS, 005930.KS, 005380.KS.

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