Taosha Wang

Portfolio Manager, Fidelity
· tracked since Jan 2026
Calls
4
Win Rate
75.0%
return
+23.4%
Calls 4 1 Posts tracked · 0.0/day
Calls
7d 0
30d 0
90d 0
Win Rate 75% Long 4 Short 0
Win Rate
7d 100%
30d 100%
90d 100%
Average Return +23.4% Long Return +23.4% Short Return -
Average Return
7d +5.3%
30d +10.5%
90d +12.2%
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Result
Result
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Theme Stance
Ticker
Side
Mentions
First Call
Call Price
P&L
Thesis
Theme
Source
Long
Jan 08
$49.51
-13.3%
AI physical-resource demand favors commodities, copper, nuclear.
AI has enormous demand for physical resources, from data centers to power and cooling. AI demand tends to grow exponentially while the supply of physical resources grows linearly, creating a fundamental supply-demand mismatch. That makes commodities, copper and nuclear energy attractive long-term, even as specific technology assumptions shift.
Thematic ETFs
Long
Jan 08
$75.62
+14.4%
AI physical-resource demand favors commodities, copper, nuclear.
AI has enormous demand for physical resources, from data centers to power and cooling. AI demand tends to grow exponentially while the supply of physical resources grows linearly, creating a fundamental supply-demand mismatch. That makes commodities, copper and nuclear energy attractive long-term, even as specific technology assumptions shift.
Commodities
Long
Jan 08
$22.88
+44.4%
AI physical-resource demand favors commodities, copper, nuclear.
AI has enormous demand for physical resources, from data centers to power and cooling. AI demand tends to grow exponentially while the supply of physical resources grows linearly, creating a fundamental supply-demand mismatch. That makes commodities, copper and nuclear energy attractive long-term, even as specific technology assumptions shift.
Commodities
Showing 3 of 4 calls · sorted by mentions

Taosha Wang has 4 trade ideas tracked on Buzzberg across 4 tickers since January 2026. Most covered: SMH, COPPER, URA.

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