About Portfolio Probe
Portfolio Probe is a financial analysis software from Burns Statistics that assists users in assessing investment portfolios. It combines performance tracking, risk analysis, and comparative benchmarking so users can make informed decisions based on data insights. The software provides detailed reports and visualizations to facilitate understanding of portfolio dynamics. Additionally, it allows users to customize metrics relevant to their investment strategies. Key capabilities: performance tracking risk analysis comparative benchmarking detailed reporting customizable metrics Best for: financial analysts and portfolio managers that need to evaluate and improve investment portfolios.
Portfolio Probe is a specialized portfolio‑management and analysis tool by Burns Statistics that helps fund managers, risk managers, and quantitative researchers build, test, and optimise portfolios through the generation of random portfolios and advanced trade optimisation. It enables creation of thousands of alternate portfolios under user‑defined constraints — such as limits on weights, number of holdings, or risk fractions — to test how a given strategy might have fared compared with “luck” alone, which helps to isolate genuine skill from randomness. The software supports classical mean‑variance optimisation as well as utility‑free “distance‑to‑target” optimisation, offering flexibility in how portfolios are constructed or rebalanced. Users can value portfolios at single points or over time, chart performance paths, and run detailed asset‑allocation analyses. Because it runs on statistical platforms like R or S‑PLUS, Portfolio Probe is particularly useful for quantitative finance, academic research, and sophisticated fund‑managers who want flexibility, rigorous analysis and deep insight.
Pros & Cons
- +Enables generation of random portfolios for robust benchmarking to distinguish skill from luck.
- +Highly flexible, supporting custom constraints, risk models, and transaction costs.
- +Useful for both quantitative and discretionary managers, adaptable to different strategies.
- +Runs in a statistical environment (R/S+) for scripting, reproducibility, and deep customization.
- +Provides tools for both optimized trading decisions and portfolio evaluation over time.
- −Requires familiarity with statistical programming (R or S+), which may be a barrier for some users.
- −No built-in risk model; users must supply variance matrices or risk assumptions.
- −Results can be sensitive to input errors or estimates — dependent on accurate assumptions.
- −Overkill for very small or simple portfolios compared to basic tools or spreadsheets.
- −Focuses on portfolio construction and analysis only; does not handle trade execution or full fund administration.
Features
Key features
- Random-portfolio generation; creates samples of portfolios that satisfy user-defined constraints such as asset weights, number of holdings, and exposure limits.
- Portfolio optimization; optimizes trades or asset allocations based on inputs like expected returns and risk (variance matrix).
- Utility-free optimization (target-portfolio tracking); finds trades that move current holdings toward a specified target portfolio under constraints without requiring a utility function.
- Flexible constraints and transaction-cost modeling; supports max/min weight per asset, risk-fraction or variance constraints, trade size limits, and transaction cost adjustments.
- Valuation and time-series path creation; computes portfolio valuations over time for back-testing and performance charting.
Additional features
- Random-portfolio sampling under constraints; generates multiple portfolios satisfying custom constraints for comparative or stress-test analysis.
- Mean-variance optimization & information-ratio maximization; optimizes portfolios with traditional mean-variance utility or return-to-risk metrics under constraints.
- Benchmark-aware optimization; optimizes portfolios relative to a benchmark for tracking error or benchmark-relative returns.
- Support for long-only, weighted, and constraint-based portfolios; works with constrained asset universes including weight limits and trade restrictions.
- Custom risk-model integration; allows user-supplied variance/covariance matrices or risk models.
- Transaction-cost-aware trade optimization; includes trading costs to avoid overtrading due to noisy inputs.
- Valuation and portfolio evolution charts; plots portfolio value over time using historical price data.
- Flexible environment — runs in R / S+; leverages statistical language flexibility for data analysis, customization, and scripting.
Pricing
One-time purchase
Indefinite License
USD 30,000
Countries & Languages
Interface languages
Billing currencies
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About Portfolio Probe
Portfolio Probe is a financial analysis software from Burns Statistics that assists users in assessing investment portfolios. It combines performance tracking, risk analysis, and comparative benchmarking so users can make informed decisions based on data insights. The software provides detailed reports and visualizations to facilitate understanding of portfolio dynamics. Additionally, it allows users to customize metrics relevant to their investment strategies. Key capabilities: performance tracking risk analysis comparative benchmarking detailed reporting customizable metrics Best for: financial analysts and portfolio managers that need to evaluate and improve investment portfolios.
Portfolio Probe Details
Portfolio Probe's In-App Market Place
Does Portfolio Probe have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Plans
One-time purchase
Indefinite License
USD 30,000
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$)
Pros & Cons
- Enables generation of random portfolios for robust benchmarking to distinguish skill from luck.
- Highly flexible, supporting custom constraints, risk models, and transaction costs.
- Useful for both quantitative and discretionary managers, adaptable to different strategies.
- Runs in a statistical environment (R/S+) for scripting, reproducibility, and deep customization.
- Provides tools for both optimized trading decisions and portfolio evaluation over time.
- Requires familiarity with statistical programming (R or S+), which may be a barrier for some users.
- No built-in risk model; users must supply variance matrices or risk assumptions.
- Results can be sensitive to input errors or estimates — dependent on accurate assumptions.
- Overkill for very small or simple portfolios compared to basic tools or spreadsheets.
- Focuses on portfolio construction and analysis only; does not handle trade execution or full fund administration.
Portfolio Probe's Support Options
Email Address
support@portfolioprobe.comContact
+44 (0)208 525 0696Portfolio Probe's Alternatives
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