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@TradingChassis

TradingChassis

TradingChassis is an applied engineering lab focused on infrastructure, reliability, and operational discipline.

The project uses trading as a demanding technical domain to demonstrate practical skills.

TradingChassis is intentionally designed as a portfolio project. It consists of small, understandable systems.

It is not a trading bot, strategy framework, alpha research platform, or claim of financial performance.

Earlier repositories explored custom backtesting infrastructure, trading-engine architecture, its runtime environments and documentation.

That direction is preserved as historical context and is no longer part of the active implementation path.

Repository Status Role
tradingchassis-ops-lab Active Local-first operations lab around NautilusTrader for reproducible backtest and paper-run workflows.
infrastructure Active Kubernetes, GitOps, observability, environment management, and operational infrastructure.
oci-secrets-store-csi-driver-provider Supporting Secret-management integration work for Kubernetes-based infrastructure workflows.
core Demo Deterministic event-driven trading decision semantics.
core-runtime Demo Runtime and orchestration layer for core.
docs Archived Archived documentation for architecture, concepts, ADRs, operations, and project evolution.

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  1. core core Public

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

    Python 1

  2. infrastructure-secrets infrastructure-secrets Public archive

    Archived fork of Oracle oci-secrets-store-csi-driver-provider with multi-arch image builds.

    Go

  3. infrastructure infrastructure Public

    Live-proven infrastructure-as-code for a reproducible OCI platform with Terraform, Ansible, MicroK8s, Argo CD, GitOps, and Vault-backed secrets.

    Shell

  4. .github .github Public

    Portfolio profile.

  5. core-runtime core-runtime Public

    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

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

    Dockerfile

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