eoms 1.5.0

A modular Execution & Order Management System built for systematic trading desks

EOMS

🚀 Quant‑EOMS

A modular Execution & Order Management System built for systematic trading desks.
Broker‑agnostic · Datafeed‑agnostic · GUI‑centric.

Features

Module	Purpose
Dashboard	At‑a‑glance PNL, risk, latency stats
Order Ticket	Live quotes + smart routing
Positions Mgr	Real‑time net positions & exposures
Order Mgr	State machine for every order, amend/cancel
Algo Mgr	Load/run param‑driven algos
PNL Window	Tick‑level & aggregated PNL

Quick Start

git clone https://github.com/your‑org/quant‑eoms.git
cd quant‑eoms
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
uvicorn quanteoms.api:app --reload   # optional REST gateway
python -m quanteoms.gui              # launch dashboard

Architecture

                   +------------------+
   Market Data --> | DataFeed Plugin* |---+
                   +------------------+   |
                                           v
+-----------+    events     +------------------+
|  Brokers* | <-----------> | Event Bus (async)|
+-----------+               +------------------+
           ^                       |
           |                       v
           |               +---------------+
           +---------------| GUI Modules   |
                           +---------------+
(* = pluggable via entry_points)

Adding a New Plugin

Create package quanteoms_<provider> implementing BrokerBase or FeedBase.

Add to setup.py:

entry_points={
    "quanteoms.brokers": ["<name>=quanteoms_<provider>.broker:Broker"],
}
pip install -e . – the system auto‑discovers it.

Roadmap

See TASKS.MD.