Atlantic House Uncorrelated Strategies Fund Class Z USD Inc

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Performance History30/11/2024
Growth of 1,000 (GBP) Advanced Graph
Atlantic House Uncorrelated Strategies Fund Class Z USD Inc
Fund---2.6-0.4
+/-Cat---4.0-7.8
+/-B’mrk----1.3-8.8
 
Key Stats
NAV
11/12/2024
 USD 1.00
Day Change 0.09%
Morningstar Category™ Multistrategy USD
ISIN IE00BNTJ6221
Fund Size (Mil)
11/12/2024
 USD 382.05
Share Class Size (Mil)
11/12/2024
 USD 0.43
Max Initial Charge -
Ongoing Charge
10/04/2024
  0.54%
Investment Objective: Atlantic House Uncorrelated Strategies Fund Class Z USD Inc
The investment objective of the Fund is to generate capital growth over the medium to longer term.
Returns
Trailing Returns (GBP)11/12/2024
YTD0.21
3 Years Annualised-
5 Years Annualised-
10 Years Annualised-
12 Month Yield 4.12
Dividend Paying Frequency Quarterly
Management
Manager Name
Start Date
Tom Boyle
03/05/2022
Valeriu Trufas
30/09/2023
Inception Date
03/05/2022
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Category Benchmark
Fund BenchmarkMorningstar Benchmark
Not BenchmarkedMorningstar US Con Tgt Alloc NR USD
Target Market
Role In Portfolio
Standalone / CoreNot Specific
ComponentNot Specific
OtherNot Specific
Primary Objective
PreservationNo
GrowthYes
IncomeYes
HedgingNot Specific
OtherNot Specific
Portfolio Profile for  Atlantic House Uncorrelated Strategies Fund Class Z USD Inc30/09/2024
Morningstar Style Box®
Equity Style
Morningstar Style Box®
Fixed Income Style
Asset Allocation
  % Long% Short% Net Assets
Stock0.000.02-0.02
Bond22.675.3517.32
Property0.000.000.00
Cash78.580.2878.30
Other0.000.000.00
Fixed Income
Effective Maturity-
Effective Duration-
Top 5 Regions%
No Data Available
Top 5 Sectors%
No Data Available
Top 5 HoldingsSector%
United States Treasury Bills 0%4.44
United States Treasury Bills 0%4.43
United States Treasury Bills 0%4.42
United States Treasury Notes 0.1... 4.41
United States Treasury Bills 0%4.33
Atlantic House Uncorrelated Strategies Fund Class Z USD Inc

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In order to provide consistency across the report data provided by different Asset Managers, the calculated data points presented are generated using Morningstar’s proprietary calculation methodology which is set out in more detail at(https://www.morningstar.com/research/signature)
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