RiskAlpha

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Forecast uncertainty
with clarity.

RiskAlpha replaces hours of Excel work with automated Bayesian statistics and other prediction types into a single, reliable forecast for your assets & investment horizon.

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Built for Bayesian Macro Forecasting

Upload and manage time-series data, compute custom metrics, and build probabilistic forecasts grounded in Bayesian expectancy. From seasonality patterns to external drivers, RiskAlpha helps you quantify uncertainty — fast and visually.
  • Upload market or macroeconomic CSVs. Automatic date detection and frequency inference built in.
  • Add RSI, EMA, SMA, percentage changes, or custom transformations directly to your data.
  • Generate forecasts based on Bayesian expectancy and standard deviations — simple, visual, and probabilistic by design.

Combine Models, Assign Weights

Compare multiple forecasts, assign custom weights to each prediction in the forecast, and even integrate discretionary scores into your final alpha score. RiskAlpha makes it easy to combine quantitative signals with trader judgment in a structured, probabilistic way.
  • Blend different model outputs, assign confidence weights, and visualize the combined expectancy distribution.
  • Add subjective inputs or confidence factors to complement pure statistical signals.
  • See posterior distributions and standard deviation bands in clear, intuitive visualizations.

Collaboration & Control

Share datasets, manage access, and document ideas in one place. Reports, organization management, and team features are under active development — RiskAlpha is growing fast, and new collaboration tools are coming soon.
  • Collaborate in real time. Team features and multi-user organizations are currently being developed.
  • Manage user roles and API keys with fine-grained control over data and permissions.
  • Keep markdown notes and observations right next to your datasets — context stays where insight happens.

Why RiskAlpha?

RiskAlpha combines Bayesian probability, macroeconomic context, and trader-centric design into one forecasting platform.
Bayesian Forecast Engines
Test seasonal, self-similar, or driver-based models with one click — built on Bayesian logic and expectancy.
Weighted Scenarios
Combine multiple models and discretionary scores using weighted probabilities for greater interpretability.
Dataset Management
Import, clean, and organize large time-series datasets seamlessly.
Research-Grade Visualizations
Explore posterior distributions, expectancy curves, and probabilistic histograms with clarity.
Custom Computations
Create and chain custom columns to design your own indicators and signals.
Notes & Collaboration
Centralize research, reasoning, and communication within each dataset. Team collaboration features are currently in development.
Secure Access
Role-based permissions and API integrations built for professional environments.

Ready to forecast uncertainty with clarity?

Upload your data, compute probabilistic signals, assign weights, and build Bayesian forecasts today. Reports and team collaboration tools are coming soon.
Get Started