Skip to main content

dxlib description here

Project description

image

dxlib - A Quantitative Finance Library

Built using Python, dxlib focuses on providing a comprehensive set of tools for quantitative finance.

The library is designed to be easily adapted and used with other libraries such as pandas and numpy, and inserted into existing workflows.

For low-level development and HFT, look at the companion library dxcore. dxlib is an interface to dxcore, with additional API and network interfacing, QPM, and other tools.

Motivation

Seeing as some existing libraries targeting quantitative development already exist, the goal of dxlib is to provide easier and act as a more maintainable library for both big and small projects.

  • QuandL has been archived, and dxlib is a great alternative.
  • QuantLib is a great library, and should be used in conjunction with dxlib, but its focus differs. Eventually, dxcore should replace QuantLib within the context of dxlib.
  • pandas and numpy are great, and should be used in conjunction with dxlib.

All modules and classes are built using Domain Driven Design, and are designed to be easily understood and used. I myself come from a computer science background, and whenever starting a new quant project, always found my code to end up extremely convoluted and messy. Therefore, I believe creating a library with a strong foundation rather than a collection of scripts is the way to go.

All classes and methods are supposed to be easily serializable, deserializable, and extendable - to be freely used in a distributed and/or parallel environment. For now, the cache system uses both HDF5 and JSON, and the networking system allow for easily interfacing with other systems. Current inbuilt handlers include REST and Websockets. Future encodings are planned to include FIX, SBE. Future handlers are planned to include ZeroMQ, gRPC and rough UDP.

In the future, dxlib will be able to interface with dxcore for low-level development, and dxforge for high-level network development. Look at dxhft for implementation-specific high-frequency trading tools.

Quick Start

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

dxlib-2.0.1.tar.gz (197.1 kB view details)

Uploaded Source

Built Distribution

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

dxlib-2.0.1-py3-none-any.whl (61.1 kB view details)

Uploaded Python 3

File details

Details for the file dxlib-2.0.1.tar.gz.

File metadata

  • Download URL: dxlib-2.0.1.tar.gz
  • Upload date:
  • Size: 197.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for dxlib-2.0.1.tar.gz
Algorithm Hash digest
SHA256 9949cb75ae2cb1e675b90f5e4a849b08baa4698a4bf4fcb04079e2492a73fe66
MD5 49d3bffc6065ec00bc3f23a9a36f1f7a
BLAKE2b-256 d0a360f32a93b146f1e2c0c68ea603471a29632ac0206334c28b5dd3349b8bf7

See more details on using hashes here.

Provenance

The following attestation bundles were made for dxlib-2.0.1.tar.gz:

Publisher: python-publish.yml on divergex/dxlib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dxlib-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: dxlib-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 61.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for dxlib-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5d18c8a0c2d7a16bdefc692fd827a710d91d592f42ebcc9fdca546a412b6aba6
MD5 4790a5249d7cef4ab1df6365bf1b2b5a
BLAKE2b-256 55e5b16b1dbf93e8ba084969bce60b2cfbdeb26fedc03ecb4150016aa05f8d32

See more details on using hashes here.

Provenance

The following attestation bundles were made for dxlib-2.0.1-py3-none-any.whl:

Publisher: python-publish.yml on divergex/dxlib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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