Flashcrash

At a glance

• Editor score
  Not yet scored
• Pricing
  Pricing on request
• Best for
  Teams seeking probabilistic deep-learning forecasts
• Facts checked
  24 Sep 2026

• Where it wins

  • Produces 21 quantile levels per forecast step
  • Forecasts multiple related series and estimates lead-lag relationships
  • Runs on CPU, Apple Silicon, and NVIDIA GPUs

• Where it doesn't

  • Access is currently offered to select partners
  • Longer forecast horizons are generated step by step
  • Organizations must contact sales about pricing

Our verdict on Flashcrash

Flashcrash is a pretrained model for forecasting recurring quantities such as demand, traffic, sales, load, and prices. It is aimed at mid-market and enterprise teams that want probabilistic deep-learning forecasts without fine-tuning. Its zero-shot approach uses historical series as context, with up to 2,048 past observations, and can forecast several related series together. Teams can also supply known future input series, which gives the model a way to incorporate information about upcoming conditions.

The main distinction is the range of outputs and relationships it handles. Flashcrash produces 21 quantile levels per step, giving forecasts across a range of possible outcomes rather than a single prediction. It also estimates lead-lag relationships across related time series. Longer horizons are generated step by step, so this is a forecasting workflow centered on sequential predictions rather than a broad analytics suite. CPU, Apple Silicon, and NVIDIA GPU execution provide options for running the model in different computing environments.

Deployment is self-hosted, with Linux and macOS named as platforms. Access is currently offered to select partners, and interested organizations are directed to request access. The pricing model is contact sales, so prospective adopters should expect to discuss access and commercial terms directly. Email is the listed support channel. Flashcrash is a fit for teams focused on multivariate time-series prediction and probabilistic outputs that can work within a self-hosted model deployment. Organizations seeking a generally available product, or a wider analytics and integration ecosystem, should consider alternatives suited to those requirements.

Flashcrash pricing

Flashcrash fact sheet

Alternatives to Flashcrash

• AnodotReal-time anomaly detection and forecasting for enterprise business and operational metrics.—
• TrendMinerIndustrial teams get focused tools for exploring, contextualizing, and monitoring time series.—
• DataRobotA broad enterprise AI platform with serious forecasting, deployment, and governance depth.—

See all Flashcrash alternatives →

Featured on iTechGuides

Flashcrash is listed in our Time Series Intelligence Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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