Proprietary Trading

The Speed You Need With Zero Exposure

Turn Ideas into Signals

Empower your research team with an infrastructure built for speed. Deploy high-performance workloads, run massive parallel simulations, and manage compute costs with precision, all without IP or data exposure.

    • Proprietary Trading

    The Speed You Need With Zero Exposure

    Turn Ideas into Signals

    Empower your research team with an infrastructure built for speed. Deploy high-performance workloads, run massive parallel simulations, and manage compute costs with precision, all without IP or data exposure.

    • Why Prop Shops Choose Datatailr

    Why Prop Shops Choose Datatailr

    100% Quant Focus:

    100% Quant Focus:

    Remove the infrastructure delay. Your team writes code, and Datatailr handles the packaging, scaling, orchestration, deployment and environment isolation.

    Remove the infrastructure delay. Your team writes code, and Datatailr handles the packaging, scaling, orchestration, deployment and environment isolation.

    zero DevOps tax

    Hyper-Elastic Burst

    Hyper-Elastic Burst

    Scale to thousands of cores in minutes for massive backtests and scale back to zero automatically as soon as the job is done.

    Scale to thousands of cores in minutes for massive backtests and scale back to zero automatically as soon as the job is done.

    50K jobs · ~10s

    Zero Maintenance:

    Zero Maintenance:

    Eliminate the need for complex cluster management or manual YAML configuration, allowing for a leaner, faster engineering team.

    Eliminate the need for complex cluster management or manual YAML configuration, allowing for a leaner, faster engineering team.

    no YAML · no clusters

    Challenges and How Datatailr Solves Them

    Challenges and How Datatailr Solves Them

    Development Speed

    Cost Efficiency

    Production Consistency

    Data Access

    The Challenge

    Quants are slowed down by waiting for IT to provision VMs and deploy their code

    Capability

    Self-service IDE with instant containers and data access

    Result

    From idea to execution in minutes

    Development Speed

    Cost Efficiency

    Production Consistency

    Data Access

    The Challenge

    Quants are slowed down by waiting for IT to provision VMs and deploy their code

    Capability

    Self-service IDE with instant containers and data access

    Result

    From idea to execution in minutes

    Your First Two Weeks: From Setup to Scaling

    Your First Two Weeks: From Setup to Scaling

    1

    Days 1–2

    Connect & Automate

    Integrate your existing data lake and exchange feeds.

    Integrate your existing data lake and exchange feeds.

    Define initial scaling and budget policies in Python to keep costs under control.

    Define initial scaling and budget policies in Python to keep costs under control.

    2

    Days 3–7

    Build & Burst

    Migrate core strategies with Git-native control.

    Migrate core strategies with Git-native control.

    Run massively parallel workloads with ease without changing your code

    Run massively parallel workloads with ease without changing your code

    3

    Week 2

    Secure Delivery

    Deploy strategy dashboards and live signals as secure, governed services.

    Deploy strategy dashboards and live signals as secure, governed services.

    Expose pricing models or risk functions directly into Excel for real-time monitoring.

    Expose pricing models or risk functions directly into Excel for real-time monitoring.

    Results for Every Role

    Results for Every Role

    Head of Research

    Head of Research

    Drastically shorter research cycles and the ability to attract top talent with a modern tech stack.

    Drastically shorter research cycles and the ability to attract top talent with a modern tech stack.

    Quant Developer

    Quant Developer

    Focus 100% on model logic and Polars performance, not on Docker or Kubernetes.

    Focus 100% on model logic and Polars performance, not on Docker or Kubernetes.

    Python and Jupyter for research. Deploy apps and services in minutes.

    Platform Lead

    Platform Lead

    Full visibility into lineage, logs, and costs across all research desks.

    Full visibility into lineage, logs, and costs across all research desks.

    Code or no-code DAGs with built-in versioning and one-click rollback.
    No YAML.

    Leadership

    Leadership

    Predictable cost models and the ability to scale research output without scaling DevOps headcount.

    Predictable cost models and the ability to scale research output without scaling DevOps headcount.

    Python and Jupyter for research. Deploy apps and services in minutes.

    What Prop Teams Ship on Datatailr

    What Prop Teams Ship on Datatailr

    Massive Parallel Backtests:

    Massive Parallel Backtests:

    High-throughput simulations across thousands of pre-warmed VMs.

    High-throughput simulations across thousands of pre-warmed VMs.

    Live Dashboards:

    Live Dashboards:

    Interactive apps for monitoring PnL and signals in real-time.

    Interactive apps for monitoring PnL and signals in real-time.

    Cross-Source Signal Generation:

    Cross-Source Signal Generation:

    Queries that join live S3 feeds with historical Snowflake data instantly.

    Queries that join live S3 feeds with historical Snowflake data instantly.

    Secure AI Assistants:

    Secure AI Assistants:

    Private LLM models for code refactoring and data extraction.


    Private LLM models for code refactoring and data extraction.