01 — Module

Factor Based Analytics#

Understand exactly what's driving risk in every portfolio.

134 factors covering sectors, geographies, currencies, commodities, government & corporate (IG, HY), money market, style.

Decomposes returns into Allocation and Selection (and Interaction effects for Brinson-Fachler) to identify performance drivers.

Standard metrics including Volatility, VaR, CVaR, and Exposure analysis.

Forward-looking return estimates based on factor exposure and historical risk premia.

Custom factor modeling (e.g., user-defined macro factors) for tailored risk exposure analysis.

02 — Module

Portfolio Optimisation / Rebalancing#

Constraint-driven optimisation built inside the risk logic — Min Risk, Max Diversity, Max Sharpe, and Tracking Error. Visualise the full efficient frontier in real time.

Portfolio Optimisation / Rebalancing

Constraint-driven optimization (Min Risk, Max Diversity, Max Sharpe, Tracking Error).

Optimization specifically to minimize tracking error against a chosen benchmark.

Automated rebalancing of multiple portfolios simultaneously to align with target models.

Visualizes the risk/return trade-off curve to select optimal portfolios.

Bayesian optimization framework combining market equilibrium with investor views.

03 — Module

Performance Attribution Analysis#

Pinpoint exactly what is driving returns — and what isn't. Multi-level attribution models from standard Brinson-Fachler to hierarchical breakdowns and blended benchmarks.

Performance Attribution Analysis

Standard attribution breaking excess return into Allocation, Selection and Interaction effects.

Multi-level attribution (e.g., Asset Class → Sector → Security) for granular insight.

Attribution against custom composite benchmarks (e.g., 60% SPY / 40% AGG).

04 — Module

Stress Testing#

Battle-test portfolios against historical crises and custom what-if scenarios. Understand tail risk before it materialises.

Stress Testing

Simulate portfolio performance during past crises (e.g., Covid-19, GFC).

User-defined "what-if" scenarios (e.g., "Tech Sector −10%") using factor sensitivities.

05 — Module

Market, Credit & Liquidity Risk

The three risks that sit alongside factor exposure: what the market can do to a portfolio, how creditworthy its issuers are, and how easily positions can be exited.

Exposure to moves in prices, rates and spreads, measured across the portfolio's risk factors.

Exposure to issuer downgrades and defaults across corporate and government holdings.

How readily positions can be exited, and what exiting them would cost under stressed conditions.

06 — Module

Cashflow Forecasting#

Projections of portfolio liquidity needs and income generation — coupons, dividends, and cash flow planning across the full portfolio.

Cashflow Forecasting

Projections of portfolio liquidity needs and income generation (coupons/dividends).

07 — Module

Tactical Risk Management#

Real-time pre-trade validation and AI-driven analysis for active trading. Reduce behavioral risk and validate every setup against a personalized, evidence-based risk framework.

Tactical Risk Management

Assess trades in real time against your custom risk profile. Receive actionable analytics to confirm or challenge setups.

Our genetic algorithm examines your trading history to build a personalized, evidence-based risk framework derived from your own data.

08 — Module

Asset Class Coverage

Built-in coverage of 800K+ listed securities across 178 exchanges and 1M+ bonds. Bring your own data via our User Feed API, or plug in external data sources on request.

Global equities across 178 exchanges with sector and geography mapping, included in the standard built-in data source.

Full look-through or regression-based factor analysis for ETFs, included in the standard built-in data source.

1M+ bonds including Government and Corporate (IG, HY) with yield curve sensitivity.

Native support for money market instruments, foreign exchange, and cash positions, included in the standard built-in data source.

Native support for major cryptocurrencies and digital asset indices, included in the standard built-in data source.

Analysis via fund breakdowns and NAV time-series regression against risk factors, included in the standard built-in data source.

Commodity ETFs/Indices (e.g., DBC, Gold) and futures proxies included in the standard built-in data source.

Repricing of options and warrants to correctly model nonlinear payoffs, included in the standard built-in data source.

Proxy-based modeling for illiquid assets (PE/VC) using listed factor equivalents. Push private asset data via a dedicated User Feed API.

See the product roadmap for details.

Feature Availability Matrix

Which features are available across each product and access method.

✓ Available now◑ Partially available◷ Coming soon✕ Not available
FeatureMantaWealthMantaTradeAPIMCP
Factor Based Analytics
Factor Based Analysis✓✕✓✓
Contribution Analysis✓✕✓✓
Base Analytics✓✕✓✓
Expected Returns✓✕✓✓
Bespoke Factors✓✕✓✕
Portfolio Optimisation / Rebalancing
Portfolio Optimisation✓✕✓✓
Portfolio Tracking✓✕✓✕
Mass Rebalancing◷✕✓✕
Efficient Frontier✓✕✓✕
Black Litterman◷✕◷✕
Performance Attribution Analysis
Brinson-Fachler Model✓✕✓✕
Hierarchical Model✕✕✓✕
Blended Benchmarks✓✕✓✕
Stress Testing
Historical Stress Testing✓✕✓✕
Hypothetical Stress Testing✓✕✓✕
Market, Credit & Liquidity Risk
Market Risk✓✕✓✕
Credit Risk◷✕◷✕
Liquidity Risk◷✕◷✕
Cashflow Forecasting
Cashflow Forecasting✓✕✓◷
Tactical Risk Management
Pre-Execution Order Validation◑✓✓✕
AI-Powered Trade Analysis✕✓✓✕
Asset Class Coverage
Equity✓✓✓✓
ETFs✓✓✓✓
Fixed Income✓✓✓✓
Money Market, FX, Cash✓✓✓✓
Crypto✓✓✓✓
Funds (inc. Mutual Funds)✓◑✓◑
Commodities✓✓✓✓
Options / Warrants✓✕✓✕
Private Assets Modelling✓✕✓✕
Structured Products◷✕◷✕

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