Plurimi World Long Short Equity
The fund is always fully invested in global equities, typically holding 30 long and 30 short positions in seeking an attractive risk-adjusted return. Minimum and maximum positions of 2% and 5% ensure each holding has a meaningful weight within the diversified portfolio. The Fund seeks to control volatility at a target of 10%. Gross and net exposure are kept at 150% and 50%.
Our proprietary AI and machine learning tool analyses thousands of stocks and over 60 data points daily to filter the universe, make buy and sell recommendations and inform top-down asset allocation by the managers. The managers assess the case behind the model’s recommendations and use its signals to help time actions, but they can only buy a stock if the system has first recommended it. Sell recommendations are actioned without question.
Our approach aims to manage risk and remove emotion from the decision-making process whilst ensuring human judgment and experience continue to drive returns.
Fund managers
Patrick Armstrong, CFA
Group Chief Investment Officer
Eugen Fostiak
Head of AI and Machine Learning
Key facts
As at 31 December 2025
Fund launch: 10 January 2025
Size: GBP 97.5m
Fund structure: Luxembourg SICAV
Fees: See share class table below
Available share classes: GBP, EUR, USD, CHF
Downloads
Please contact us for KIIDs of other share classes.
Fund performance
Cumulative
1 month
3 months
6 months
1 year
Since launch
S GBP
0.9%
6.0%
6.9%
11.8%
11.8%
Index
-0.3%
1.7%
6.3%
6.6%
6.6%
Calendar year
YTD
2025
2024
2023
2022
2021
S GBP
11.8%
11.8%
n/a
n/a
n/a
n/a
Index
6.6%
6.6%
n/a
n/a
n/a
n/a
Past performance is not a guide to the future. Capital at risk. Source: Bloomberg and Plurimi as at 31 December 2025, net of fees in GBP. The index is 50% of Free Float Capitalisation Weighted World Equity Index. The fund launched on 10 January 2025. Performance shown for partial years is not annualised.
Capital at risk. The value of investments and any income from them can go down as well as up and investors may not get back the amount originally invested. Past performance is not a reliable indicator of future results.

