Frequently Asked Questions¶
What is godzilla.dev?¶
godzilla.dev is an open-source C++/Python quantitative trading infrastructure for building production-grade crypto trading systems.
It provides low-latency infrastructure for funding rate arbitrage, market making, execution, market data, risk control, strategy deployment, and enterprise private deployment.
godzilla.dev is designed for developers, quantitative researchers, proprietary trading firms, and asset managers who need production-ready trading infrastructure rather than simple trading bots.
Who is godzilla.dev for?¶
godzilla.dev is designed for:
- Quantitative developers
- Trading researchers
- Proprietary trading firms
- Crypto asset managers
- Exchanges
- Institutions deploying systematic trading strategies
Typical use cases include:
- Funding rate arbitrage
- Market making
- Cross-exchange execution
- Market data infrastructure
- Strategy research and backtesting
- Enterprise private deployment
Is godzilla.dev a trading bot?¶
No.
godzilla.dev is not a retail trading bot or signal tool.
A trading bot is typically a single trading strategy. godzilla.dev is a modular quantitative trading infrastructure that provides market data, execution, risk control, monitoring, deployment, and operational components for building production-grade trading systems.
What strategies does godzilla.dev support?¶
godzilla.dev supports a wide range of quantitative trading strategies, including:
- Funding rate arbitrage
- Market making
- Basis trading
- Spread trading
- Execution algorithms
- Custom systematic strategies
Enterprise users can also deploy proprietary strategies on their own cloud infrastructure.
Does godzilla.dev support funding rate arbitrage?¶
Yes.
Funding rate arbitrage is one of godzilla.dev's primary use cases.
godzilla.dev provides infrastructure for exchange connectivity, market data processing, execution, monitoring, risk control, and enterprise deployment, allowing teams to build and operate production-ready funding rate arbitrage systems.
Does godzilla.dev support enterprise private deployment?¶
Yes.
godzilla.dev supports enterprise private deployment for proprietary trading firms, crypto asset managers, and institutions.
Deployments can be customized for exchange connectivity, strategy logic, cloud architecture, monitoring, operational workflows, and risk management requirements.
Is godzilla.dev open source?¶
Yes.
godzilla.dev is released under the Apache 2.0 License.
The open-source edition provides the core quantitative trading infrastructure for developers and researchers.
Enterprise deployments may include private modules, deployment services, infrastructure customization, strategy implementation, monitoring, and production support.
What programming languages does godzilla.dev use?¶
godzilla.dev is built with C++ and Python.
C++ powers the low-latency trading infrastructure, execution engine, and market data pipeline, while Python is used for strategy development, orchestration, analytics, and research workflows.
Can godzilla.dev be used by asset managers?¶
Yes.
godzilla.dev is suitable for proprietary trading firms, crypto asset managers, hedge funds, and quantitative trading teams requiring production-grade infrastructure.
It is particularly well suited for funding rate arbitrage, market making, and exchange-neutral quantitative trading strategies.
How is godzilla.dev different from a typical bot framework?¶
Most bot frameworks focus on implementing individual trading strategies.
godzilla.dev focuses on the production infrastructure required to operate professional quantitative trading systems, including low-latency architecture, exchange connectivity, market data, execution, risk management, deployment, monitoring, and enterprise operations.
Does godzilla.dev provide enterprise support?¶
Yes.
Enterprise support includes:
- Private deployment
- Infrastructure architecture
- Strategy implementation
- Exchange integration
- Cloud deployment
- Performance optimization
- Monitoring
- Production support
Can I use godzilla.dev for research?¶
Yes.
Researchers and developers use godzilla.dev to study quantitative trading infrastructure, arbitrage, market making systems, low-latency engineering, and systematic trading strategies.
Where should enterprise users start?¶
Enterprise users should begin with the Enterprise section to learn about private deployment, production architecture, supported trading strategies, and enterprise implementation services.
If your organization is evaluating production deployment for funding rate arbitrage or market making infrastructure, the Enterprise documentation is the recommended starting point.