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@TradingChassis

TradingChassis

Personal trading-infrastructure engineering project.

TradingChassis

TradingChassis is an applied infrastructure and reliability lab for trading-adjacent systems.

It uses a trading domain to explore SRE, observability, reproducibility, operational workflows, and failure-aware infrastructure design.

TradingChassis overview: applied infrastructure and reliability lab for trading-adjacent systems

Current Direction



The current direction is focused on small, understandable proof-of-skill systems.

The goal is to demonstrate infrastructure and reliability engineering discipline in a concrete domain, not to build a production trading platform.

Active Work

Repository Status Role
tradingchassis-ops-lab Active / Primary Local-first operations lab around NautilusTrader for reproducible backtest and paper-run workflows.
infrastructure Active / Foundation Kubernetes, GitOps, observability, environment management, and operational infrastructure.
infrastructure-secrets Supporting Secret-management integration work for Kubernetes-based infrastructure workflows.

Active Project Map

Active project map: run operations, observability, runtime safety, infrastructure, and documentation

Archived Work

Earlier repositories explored a custom trading-engine architecture.
That direction is preserved as historical context, but it is no longer the active implementation path.

Repository Status Notes
core Archived / Legacy Historical exploration of deterministic event-driven trading decision semantics.
core-runtime Archived / Legacy Historical runtime and orchestration layer for the previous Core architecture.
docs Archived / Legacy Historical documentation archive for architecture, concepts, ADRs, operations, and project evolution.

Boundaries

TradingChassis is intentionally scoped as a portfolio-style engineering lab.

It is not a trading bot, strategy library, alpha research project, or claim of trading performance.

The focus is infrastructure discipline: reproducibility, observability, operational clarity, safety boundaries, and failure-aware workflows.

For technical details, use the individual repository READMEs, documentation, issues, and discussions.


Contributing and Contact

Contributions, feedback, and technical discussion are welcome around infrastructure, reliability engineering, observability, reproducibility, operational workflows, and trading-adjacent systems.

See CONTRIBUTING.md for guidance.

For project inquiries, use the relevant repository discussions or issues.

Popular repositories Loading

  1. core core Public archive

    Legacy deterministic Event-driven trading decision engine for shared Backtesting and Live semantics.

    Python 1

  2. infrastructure-secrets infrastructure-secrets Public

    Fork of Oracle oci-secrets-store-csi-driver-provider with multi-arch image builds necessary for TradingChassis's Kubernetes infrastructure.

    Go

  3. infrastructure infrastructure Public

    Cloud Kubernetes infrastructure for TradingChassis's research & backtesting. GitOps-driven single-node on OCI using MicroK8s, Argo CD, MLflow and Vault-backed secrets.

    Shell

  4. .github .github Public

    Organization profile and community health files for TradingChassis.

  5. core-runtime core-runtime Public archive

    Legacy Runtime Kubernetes orchestration layer for TradingChassis's Core with reproducible environments for Backtesting. Configurable via JSON, self-building image, deploying and tracking via Argo a…

    Python

  6. docs docs Public archive

    Legacy canonical semantics documentation for TradingChassis: architecture, concepts, Stacks, operations, and evolution.

    Dockerfile

Repositories

Showing 7 of 7 repositories

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