Specialized factor analysis platform for institutional investors. Offers proprietary factor models, portfolio optimization, risk decomposition, and factor timing signals with unique factor definitions and insights.
Software that analyzes and decomposes investment returns into systematic factor exposures (such as value, momentum, quality) to understand portfolio characteristics and develop factor-based strategies.
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Multi-source Data Connectivity Ability to connect and synchronize with various financial data providers, custodians, and internal databases. |
Platform explicitly advertises integration with multiple datasets (proprietary, market, alternative) for factor research and portfolio construction, thus supporting multi-source connectivity. | |
Data Cleaning Tools Automated or manual tools to handle missing values, outliers, and standardize formats. |
Describes robust tools for cleaning, transforming, and standardizing data, a requirement for institutional-grade portfolio analysis. | |
Real-time Data Updates Support for streaming or near real-time data feeds. |
Marketing materials and whitepapers reference near real-time data feeds and timely updates to factor exposures and signals. | |
Historical Data Depth The number of years of historical data accessible for analysis. |
No information available | |
Data Quality Scoring System rates the accuracy, completeness, and reliability of datasets before use. |
The platform states it scores and rates input datasets for accuracy and coverage before using them in live models. | |
Custom Data Import Ability for users to upload and map proprietary datasets. |
No information available | |
Automated Data Mapping System auto-maps fields between source and destination datasets. |
No information available | |
Data Lineage Tracking Tracks the origin and transformations of data (audit trail). |
Describes 'full audit ability' and traceability of inputs through model calculations and output generation, matching lineage tracking. | |
Coverage Universe Number of asset classes, securities, or regions supported. |
No information available | |
API Access APIs for importing and exporting data programmatically. |
Publicly mentions API availability for systematic funds and integration, confirming API Access. | |
Frequency of Data Refresh How often data can be refreshed or updated. |
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Data Encryption All data in transit and at rest is encrypted. |
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Error Reporting & Logging System provides clear error logs for data issues. |
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Prebuilt Factor Libraries Comprehensive set of standard factors (e.g., size, value, quality, momentum). |
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Custom Factor Creation Users can define new factors using formulas, custom data, or machine learning. |
Users can define custom factors (unique definitions, formulas) as advertised for institutional clients. | |
Factor Backtesting Historical performance simulation of factors and strategies. |
Backtesting of proprietary and custom factor sets is a core function of the QES platform. | |
Factor Exposure Calculation Automated calculation of portfolio exposures to specific factors. |
Portfolio factor exposure calculations are a central feature (displayed on the main dashboard and in reporting tools). | |
Multi-level Factor Hierarchies Supports grouping of factors into themes or higher-level categories. |
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Factor Covariance Estimation Statistical estimation of relationships between factors. |
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Time-varying Factor Models Allows for factor model parameters to adjust through time. |
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Hierarchical Risk Decomposition Risk attribution can be broken out by multiple layers of factors. |
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Regression Model Options Multiple regression and statistical model choices for factor estimation. |
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Machine Learning Integration Supports use of machine learning for factor identification or construction. |
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Factor Sensitivity Analysis Simulate portfolio sensitivity to factor changes. |
Sensitivity and 'what if' analysis with respect to changes in factor exposures are explicitly part of the described analytical toolkit. | |
Persistent Beta Tracking Tracks and reports betas for factors and assets over time. |
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Number of Supported Factors Maximum number of factors that can be included in a single model. |
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Multi-objective Optimization Supports optimization for multiple targets (e.g., maximize returns, minimize risk, optimize for specific factors). |
QES supports multi-objective optimization, allowing for risk-return and factor objectives, per product documentation. | |
Constraint Handling Allows custom exposure constraints (sector, region, factor, ESG). |
Portfolio optimizer supports a variety of user-defined constraints at segment and asset class/factor/ESG level. | |
Transaction Cost Modeling Integrates impact of trading costs in portfolio rebalancing. |
Integrates transaction cost modeling estimates in portfolio optimization according to technical marketing slides. | |
Turnover Calculation Calculates expected or historical portfolio turnover rates. |
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Scenario Analysis Runs hypotheticals to test portfolio outcomes under different assumptions. |
Platform provides robust scenario analysis for hypothetical market and factor events. | |
Stress Testing Evaluates portfolio reactions under extreme market events. |
Stress testing is explicitly marketed to test portfolios against historical and hypothetical market shocks. | |
Multi-Period Optimization Optimization over multiple time steps, not just single-period. |
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Max Portfolio Size Maximum number of securities actively handled in a portfolio. |
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Automated Rebalancing Suggestions Platform suggests trades to maintain factor exposures. |
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Pre/Post-trade Analytics Analysis of expected and actual factor exposures before and after trades. |
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Portfolio Drift Alerts System alerts when portfolios drift from target factor exposures. |
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Multi-currency Optimization Supports portfolios in different base currencies and FX risk adjustment. |
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ESG/SRI Overlay Ability to integrate environmental, social, and governance screens into optimization. |
QES supports ESG/SRI overlays and custom factor definitions, which are highlighted in their product brochure for institutional clients. |
Factor-based Risk Decomposition Breaks down total risk by component factors. |
Risk decomposition by factor is a core advertised feature (risk breakdown by factor and theme in client materials). | |
Value at Risk (VaR) and Expected Shortfall Calculation of factor or portfolio-level risk metrics. |
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Factor-Based Performance Attribution Attributing performance to factor exposures or timing. |
Portfolio and factor performance attribution (explaining returns and risk through factor timing/signals) is marketed. | |
Relative vs. Absolute Risk Analysis Compares risk to benchmarks as well as standalone portfolios. |
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Contribution to Risk (CTE/CTR) Provides % risk contribution by asset or factor. |
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Conditional Risk Analysis Risk analysis conditional on macroeconomic or market events. |
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Rolling Window Analytics Support for rolling analysis (e.g., rolling beta, rolling risk). |
Rolling factor analytics are part of the core analytics suite for institutional performance examination. | |
Risk Limits Monitoring Allows pre-set boundaries for factors or portfolio risk metrics. |
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Marginal Risk Analysis Measures risk added or removed by individual securities or factors. |
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Backtest Drawdown Analysis Examines historical drawdowns tied to factors. |
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Time to Compute Risk Stats Time taken to run a full risk analysis report. |
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Factor Interaction Analytics Examines nonlinear effects/interactions across factors. |
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Customizable Dashboards Configurable real-time dashboards showing factor, portfolio, and risk stats. |
Includes a configurable dashboard with real-time portfolio/factor analytics, as shown in product screenshots. | |
Factor Exposure Heatmaps Visual representations of factor exposures across portfolios or time. |
Factor heatmaps across portfolios/time are a prominently advertised visualization feature. | |
Scenario & What-If Visualization Interactive graphs to visualize different analysis scenarios. |
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Automated Periodic Reporting Scheduling and generation of automated performance and risk reports. |
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Multi-format Reports Export Supports exporting reports in PDF, Excel, PowerPoint, etc. |
Exports to Excel, PDF, and other common formats available per client help documentation. | |
Ad Hoc Query Builder Users can design custom queries and tables on demand. |
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White-labeling Options Offers custom branding/logos on reports and dashboards. |
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Mobile/Tablet Visualization Support Reports and dashboards adapt to mobile devices. |
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Interactive Charting Tools Drill-down capability in visualizations for deeper insights. |
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Automated Commentary Generation System can write brief text narratives about results. |
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Report Customization Time Average time to customize and create a new standard report. |
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Role-based Access Controls Fine-grained permission system for users, teams, and departments. |
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Collaborative Annotations Team members can add notes and comments on datasets, factors, or analysis outputs. |
No information available | |
Audit Trail for Changes Tracks changes to factors, data, and models with timestamps and user IDs. |
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Version Control for Models Supports saving, restoring, and comparing multiple versions of factors or models. |
Refers to versioning of factor models and the ability to roll back to prior iterations. | |
Approval Workflows Structured approval process for production usage or large changes. |
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Comment Threading Organized comment histories on analyses or reports. |
No information available | |
User Activity Dashboard Visualization of recent activity by all team members. |
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Notification System Alerts and notifications for changes, approvals, or data imports. |
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Report Sharing/Publishing Easy mechanism to securely share insights within or outside organization. |
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Simultaneous Multi-user Editing Supports multiple users working in parallel on the same project. |
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RESTful API Endpoints Exposes platform data and analytics for external integration. |
RESTful and programmatic access are highlighted as integration modes, consistent with RESTful API Endpoints. | |
Batch Data Export Bulk export of time series, factor scores, and risk reports. |
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Order Management System (OMS) Integration Seamlessly sends trade suggestions to OMS platforms. |
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Portfolio Management System (PMS) Integration Connects with PMS for real-time holdings and exposures. |
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SFTP/FTP Support Bulk file transfer through secure FTP protocols. |
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Webhooks for Real-time Updates Pushes notifications and updates to other systems using webhooks. |
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Custom Scripting Support Allows custom scripts (Python, R, etc.) to automate workflows. |
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Third-party Ecosystem Support Able to connect with popular financial data and analytics providers. |
Third-party ecosystem integration (Bloomberg, FactSet, etc.) is mentioned in documentation. | |
API Rate Limits Maximum calls per second for stable operation. |
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OAuth/SSO Authentication Supports Single Sign-On and industry-standard authentication. |
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Intuitive Navigation Logical layout reduces clicks and speeds up workflows. |
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Multi-language Support Interface is available in multiple languages. |
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Accessibility Features Support for visually impaired users (high contrast, screen readers, keyboard navigation). |
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Responsive Design Adapts to different screen sizes and devices. |
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Customizable Shortcuts Allows users to create or edit key shortcuts for frequent actions. |
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Search Functionality Comprehensive search for factors, securities, reports, and documentation. |
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Step-by-step Wizards Guided workflows for complex processes. |
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In-app Help/Tooltips Contextual help is available at all major interface points. |
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Load Time for Major Screens Average load time for analytics dashboard or factor model screens. |
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User Profile Customization Custom dashboards and settings for individual users. |
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Role-based Access Control Granular permissions for users, admins, and external users. |
Product has robust user permissioning as required by institutional deployments. | |
Two-Factor Authentication (2FA) Optional or required multi-factor authentication for enhanced login security. |
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Comprehensive Audit Logs All user/system actions are logged for compliance and troubleshooting. |
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GDPR/CCPA Compliance System is designed to meet major global privacy regulations. |
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Encryption in Transit and at Rest All user and financial data is encrypted both during transfer and storage. |
Standard for financial SaaS; Wolfe claims to encrypt data at rest and in transit (confirmed in security/IT procurement guides). | |
Penetration Testing Frequency Times per year third-party penetration tests are conducted. |
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Data Backup Frequency How often critical data is backed up securely. |
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Single Sign-On Support Integration with enterprise identity solutions (Azure AD, Okta, etc.). |
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IP Whitelisting/Geo-fencing Restrict access by physical location or approved network contexts. |
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Automated Threat Detection Detection and alerts for suspicious user/system activity. |
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Concurrent User Capacity The maximum number of concurrent users supported with no performance degradation. |
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Analysis Throughput Number of portfolios and datasets the platform can analyze per day. |
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Peak Data Upload Size Largest supported file/dataset for loading/upload. |
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Average Report Generation Time Typical time taken to generate a complex portfolio report. |
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Uptime SLA Guaranteed platform uptime percentage. |
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Autoscaling Infrastructure System resources automatically scale to support large computational loads. |
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Batch Processing Support Handles bulk analysis jobs without user intervention. |
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Geographically Redundant Hosting System is deployed in multiple data centers to minimize downtime. |
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Cloud/On-premise Deployment Options Flexible hosting for large/sensitive clients. |
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Parallel Model Runs Number of concurrent factor models that may be run in parallel. |
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24/7 Customer Support Live technical and product support always available. |
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Dedicated Account Manager Named primary contact for large clients or key accounts. |
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Extensive Documentation Detailed user manual, API docs, and frequently asked questions. |
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Onboarding Workshops Live or recorded sessions for initial user onboarding. |
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In-product Guided Tutorials Step-by-step tours of core platform features. |
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Online Knowledge Base Searchable, up-to-date library of how-tos and best practices. |
Online knowledge base and documentation center referenced in support section. | |
Active User Community Forum or user group for peer-to-peer support and networking. |
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Training Certification Programs Users can earn certificates in platform proficiency. |
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Average Response Time Median time to initial response for support cases. |
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Custom Training Services Tailored training for teams or enterprise deployments. |
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