Skip to main content

A robust backtesting and live trading engine designed for seamless strategy development and deployment. It supports user-defined strategies, multi-threaded execution, and integrations with brokers and data sources.

Project description

MidasTrader

License pypi-version

MidasTrader is a robust trading system designed for seamless transitions between backtesting and live trading without requiring changes to user code. It integrates a flexible architecture combining a data engine, execution engine, and core components that streamline the strategy development process. The system is built with a multi-threaded design where each component communicates via a shared message bus.

Key Components

  1. Core Engine:

    • Central to the system, the Core Engine includes:
      • Order Book: Tracks market depth and price movements.
      • Portfolio Server: Manages and tracks portfolio allocations and positions.
      • Performance Tracking: Calculates and monitors key trading metrics.
      • Order Management System: Handles order placement, modifications, and cancellations.
      • Base Strategy: A foundation for user-defined strategies.
  2. Data Engine:

    • Connects to user-defined data sources:
      • Midas Server: Access historical data via the Midas ecosystem.
      • Binary Data Files: Handles local files encoded with the Midas Binary Encoding Library.
      • External Sources: Currently supports Databento, with more integrations planned.
  3. Execution Engine:

    • Facilitates live trading by connecting to brokers:
      • Currently supports Interactive Brokers.
      • Users can configure broker details in the config.toml file.

Installation

You can install midastrader directly from PyPI:

pip install midastrader

Configuration

Configuration File (config.toml)

Define system parameters, including data sources, execution settings, and strategy configuration.

Strategy File (logic.py)

Strategies are implemented by extending the BaseStrategy class. Define your custom logic in Python.

Usage

CLI Mode

Run the system using the following commands:

# Backtest Mode
midas path/to/config.toml backtest

# Live Mode
midas path/to/config.toml live

Application Mode

Alternatively, you can use the system programmatically in your application:

from midas.cli import run

# Backtest Mode
run("path/to/config.toml", "backtest")

# Live Mode
run("path/to/config.toml", "live")

Supported Features

Data Vendors
Databento
Brokers
Interactive Brokers

Future Plans

  • Add more data sources.
  • Integrate additional brokers.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request with suggestions or improvements.

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

midastrader-1.0.9.tar.gz (90.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

midastrader-1.0.9-py3-none-any.whl (115.2 kB view details)

Uploaded Python 3

File details

Details for the file midastrader-1.0.9.tar.gz.

File metadata

  • Download URL: midastrader-1.0.9.tar.gz
  • Upload date:
  • Size: 90.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for midastrader-1.0.9.tar.gz
Algorithm Hash digest
SHA256 f4e5b1119f2375961bbec86cb4308deac6c940e588ab39426e187e3a3ca9ff3a
MD5 eb0fcd696f1b6cd21dda5f1be2486646
BLAKE2b-256 5a10ce2dbfddaf35aab94ebb2bf78f239ace0caee15e7e276530b890441d2ff3

See more details on using hashes here.

File details

Details for the file midastrader-1.0.9-py3-none-any.whl.

File metadata

  • Download URL: midastrader-1.0.9-py3-none-any.whl
  • Upload date:
  • Size: 115.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for midastrader-1.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 f7f84a7ff5d0b7993f5be2ceaa3f26c126fd00fdc18ade17a60994a7afa7fd6f
MD5 55ee99f696550e937c9ca1af96dd40bc
BLAKE2b-256 49b64b5ad6b00b8988695be70f8e946c88ccd10a2a881fea4bb0210607d9aeca

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page