Allocators

Select Top Funds

• Import Exposure Data using Albourne, OPERA Reports and Excel.
• Exposure Aggregation and Attribution
• Factor-Based Style Analysis for finding a source of Alpha (Style Selection or Stock Selection) or to measure sensitivity to different economic indicators.
• Screening database and creating peer groups.
• Comparing funds with Hedge Fund index constituents or user-defined peer groups.
• Convert Peer Group funds in a common currency.
• Statistics Weighted Ranking.
• Volatility Equaliser model
• Excel API: Flexible, easy to use and infinitely customisable (with hundreds of functions available.)
• Automated Reports: Schedule and automate up to 100 reports at once.
• Templates: Automate the creation of bespoke templates to facilitate the production of fact sheets, portfolio reports, fund peer group analysis, exposure analysis and stress testing. (Over 50 free templates provided covering fact sheets, portfolio reports, fund peer group analysis, exposure analysis and stress testing.)
• Free white-labelled fact sheet

Manage Portfolios, Subscriptions and Redemptions

• Portfolio management using redemptions and subscriptions. Done in collaboration with a leading investment bank and financial services company based in Switzerland.
• Set compliance rules and flag trades that breach such rules.
• Measure liquidity of your portfolio by the cheapest and the quickest method of liquidation.
• Portfolio’s Profit & Loss, Return Attribution and Risk Decomposition.
• Cash Management.
• What-if Trade Scenarios.
• Manage different currencies
• Daily or monthly
• Currency hedging
• Liquidity analysis for your live portfolio.
• Portfolio fact sheet
Read more

Connect to your Funds Through our Audited Digital Due Diligence (beta version)

Done in collaboration with an international bank based in Paris, France.

Due Diligence Model for Document Management, Data Collection and other exciting features innovating communication channel between funds' managers and allocators Available in December 2020, but you can already see a beta version

Python API

Python API documentation for installation including examples of basic calls made using the REST API within the Jupyter IDE

For 40,000 hedge funds and 400,000 mutual funds, using Python code:

1. Export any funds returns vectors
2. Export >2,000 statistics such as annualized returns, return during 2020/2021, monthly VaR 99%, maximum monthly loss, skewness, correlation to any benchmark since inception / last q year, annual Sharpe ratio since inception / last 2 years, outperformance vs any benchmarks, CUSUM, up captures, down capture, and so on.