Strategies at the
speed of thought
With Finsera, investment managers and quantitative researchers can quickly and efficiently construct and deploy multi-factor investment strategies in minutes using the latest data science tools
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
No code does not mean less powerful
Build a strategy without learning a programming language and sacrificing model complexity.
A collaborative environment
Finsera is designed with collaboration in mind. Data, universes, factors, models and simulations are shared across teams.
Data at your fingertips
Instantly use third party provider data or easily incorporate your own.
RIAs, Trading Desks and ETF Providers
Advisers can quickly offer custom thematic baskets to their investors without learning how to program.
Trading desks and ETF groups can use the basket functionality to create custom swaps and solutions for their clients.
Research Analysts
Research groups can quickly vet investment ideas, develop factors and analyze models for their clients and internal teams.
Quantitative managers have access to a comprehensive end-to-end research infrastructure with detailed return and risk analytics from a library of tools and data sets.
Portfolio Managers
Managers can incorporate systematic analysis in their processes in a fraction of the time. The robust architecture allows for efficient scenario analysis.
They can launch quickly, develop strategies on the platform's fully automated process, and oversee the strategy re-balancing process from research to trading.
A modular architecture
Finsera is an innovative and powerful platform to build, explore and deploy investment ideas
Incorporate risk models, transaction cost and realistic fixed costs data
Batch workflows and schedule automated production routines
Build and customize universes
Backtest and analyze performance of factor models
Develop complex multi-factor models based on advanced quantitative and machine learning tools
Construct and analyze fundamental, technical and event study factors
Integrate and visualize financial data