#1707 Alpha Score 6.6

u/KeySea163

Reddit r/wallstreetbets
· tracked since Jan 2026
1707
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Alpha Score 6.6
Calls
5
Win Rate
0.0%
return
-24.0%
Calls 5 1 Posts tracked · 0.0/day
Calls
7d 0
30d 0
90d 0
Win Rate 0% Long 5 Short 0
Win Rate
7d 0%
30d 33%
90d 50%
Average Return -24.0% Long Return -24.0% Short Return -
Average Return
7d -5.0%
30d -4.4%
90d +1.7%
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Result
Result
Sort
Theme Stance
Ticker
Side
Mentions
First Call
Call Price
P&L
Thesis
Theme
Source
Long
Jan 26
$35.22
-25.8%
Xiaomi: ecosystem and EV growth with smartphone valuation floor.
Author calls Xiaomi an ecosystem play after it successfully moved from phone maker to an ‘Apple of China’ with its own EV, binding customers through the Human x Car x Home ecosystem. He argues the stock is often cheaper than pure EV startups but has a solid floor from its smartphone business.
Autos & EV
Long
Jan 26
$63.58
-36.5%
Trip.com: middle-class travel demand and pricing power.
Author presents Trip.com as a cyclical consumer winner because China’s middle class keeps growing and prioritizes experiences over goods after the pandemic, while Trip.com leads travel bookings. He contends it has better pricing power than online retail, where Temu, Alibaba and JD fight a price war, so China growth should translate into more travel.
Gaming & Leisure
Long
Jan 26
$342.01
-11.0%
CATL: dominant battery supplier and green-tech pick-and-shovel.
Author calls CATL the ‘pick-and-shovel’ technology moat because almost all EV makers, from Tesla and BMW to Nio and Xiaomi, need its batteries, and it dominates the global market with over 35% share. He argues its investments in new technologies such as sodium-ion batteries also make it essential for stationary energy storage, giving indirect green-tech exposure without betting on a car brand.
Batteries & Storage
Showing 3 of 5 calls · sorted by mentions

u/KeySea163 has 5 trade ideas tracked on Buzzberg across 5 tickers since January 2026. Ranked #1707 on the Buzzberg Alpha leaderboard. Most covered: TCOM, 1810.HK, 1211.HK.

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