Proprietary Trading

High-Performance Infrastructure For Your Strategies

Turn Ideas into Signals. Fast.

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 the DevOps overhead.

prop_backtest.py

# Hyper-scale parallel backtest

import polars as pl

from datatailr import Autoscaler

data = dataverse.join(

live="s3://feeds/live",

hist="snowflake.history_10y"

)

Autoscaler.burst(containers=50000)

✓ 50K jobsstarted in ~10s

YAML Files

Zero

required

YAML Files

Zero

required

YAML Files

Zero

required

Compute Spend

−50%

vs static clusters

Compute Spend

−50%

vs static clusters

Parallel Jobs

50K

in ~10 seconds

Why Prop Shops Choose Datatailr

100% Quant Focus:

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

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:

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

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

Days 1–2

Connect & Automate

Integrate your existing data lake and exchange feeds.

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

Days 3–7

Build & Burst

Migrate core strategies with Git-native control.

Run massively parallel workloads with ease without changing your code

Week 2

Secure Delivery

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

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

Results for Every Role

Head of Research

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

Quant Developer

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

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.

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

Leadership

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

Unified SQL that queries Snowflake, S3, Postgres and 40+ more databases where the data already lives. No migration.

What Prop Teams Ship on Datatailr

Massive Parallel Backtests:

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

Live Strategy Dashboards:

Interactive apps for monitoring PnL and market regimes in real-time.

Cross-Source Signal Generation:

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

Secure AI Assistants:

Private LLM models for code refactoring and data extraction.

High-Performance Infrastructure For Your Strategies

High-Performance Infrastructure For Your Strategies

Why Prop Shops Choose Datatailr