Infrastructure, not signals
We do not sell trading strategies, signals, or return promises. ttTrader is the machine that runs your strategies — a production-grade C++23 framework for market data, execution, risk, recording, and high-fidelity playback across 14+ exchanges and brokers. You bring the alpha; we provide the infrastructure and the engineering partnership around it.
4
Engagement Models
4–6 wks
Typical Pilot Duration
100%
Source Code Available
Engagement Models

Four Ways to Work With Us

Every engagement is tailored — these models are starting points, not rigid packages.

Model A — Technology Licensing

License the ttTrader framework for internal use at your firm. Includes source code, documentation, and integration support. Add-ons: custom exchange connectors and strategy development.

Ideal for: prop shops building in-house infrastructure.

Model B — Custom Development

We build tailored solutions on top of ttTrader — exchange connectors, custom order types, risk systems, full strategy implementations, and GPU-accelerated algos (CUDA/OpenCL kernels for deep NNs, Monte Carlo, portfolio optimization). Typical timeline: 4–12 weeks.

Ideal for: firms with unique requirements or teams needing end-to-end development capacity.

Model C — Consulting & Training

Strategic advisory and team enablement: architecture review, strategy design, performance optimization, and team workshops. Remote or on-site.

Ideal for: teams transitioning to systematic trading.

Model D — Revenue Share / Joint Venture

Partner on strategy deployment: we provide the technology, you provide capital and infrastructure. Terms negotiated per engagement.

Ideal for: long-term strategic partnerships.

Build vs. Buy

The Real Alternative Is Building It Yourself

Python frameworks don't compete here — your quantitative developers already know their limits. The honest comparison is licensing ttTrader versus staffing an internal infrastructure team.

In-House Build

Factor Typical Reality
Team 2–3 senior C++ engineers
Time to production 12–18 months
Connector maintenance Ongoing — exchanges change APIs constantly
Deterministic decimal math Custom effort, high test burden
Backtest/live parity Rarely achieved; two engines diverge
Opportunity cost Quants wait on infrastructure

ttTrader License

Factor With ttTrader
Time to first strategy Weeks, not quarters
Exchanges 14+ connectors included, maintained by us
Financial math decimal_t — deterministic, bits-exact
Backtest fidelity 1:1 — same event pipeline as live
Source access Full source code license available
Support Direct line to the engineers who built it

Every firm's numbers differ — we're happy to walk through the comparison against your actual team costs and timeline in a technical deep-dive.

Evaluation Process

From First Call to Pilot

A structured evaluation designed for technical due diligence — you validate the framework against your own strategy concepts before any commitment.

1
Technical Deep-Dive
Demo & architecture walkthrough with your engineering team
2
Strategy Backtest
Your concept run through the playback engine on real recorded data
3
Pilot Engagement
4–6 weeks with defined milestones
4
Partnership Agreement
Tailored to your firm's needs

NDA-First

Detailed documentation, benchmarks, and the partner pitch deck are shared under NDA. Your strategy concepts never leave your side of the table.

Maintained Connectors

Exchange APIs change constantly. Connector maintenance is part of the engagement — your team focuses on strategy, not websocket schema drift.

Production-Proven

The framework runs live trading today — Windows and Linux, local or collocated. The monitoring dashboard ships with it.

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Direct contact details

Alternatively: [email protected] · +49 1522 3848 517