An Algorithmic Trading Library for Crypto-Assets in Python

Overview
Enigma | Catalyst

version tag version status forum discord twitter

Service Master Develop
CI Badge travis-master travis-develop

Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be easily expressed and backtested against historical data (with daily and minute resolution), providing analytics and insights regarding a particular strategy's performance. Catalyst also supports live-trading of crypto-assets starting with four exchanges (Binance, Bitfinex, Bittrex, and Poloniex) with more being added over time. Catalyst empowers users to share and curate data and build profitable, data-driven investment strategies. Please visit catalystcrypto.io to learn more about Catalyst.

Catalyst builds on top of the well-established Zipline project. We did our best to minimize structural changes to the general API to maximize compatibility with existing trading algorithms, developer knowledge, and tutorials. Join us on the Catalyst Forum for questions around Catalyst, algorithmic trading and technical support. We also have a Discord group with the #catalyst_dev and #catalyst_setup dedicated channels.

Overview

  • Ease of use: Catalyst tries to get out of your way so that you can focus on algorithm development. See examples of trading strategies provided.
  • Support for several of the top crypto-exchanges by trading volume: Bitfinex, Bittrex, Poloniex and Binance.
  • Secure: You and only you have access to each exchange API keys for your accounts.
  • Input of historical pricing data of all crypto-assets by exchange, with daily and minute resolution. See Catalyst Market Coverage Overview.
  • Backtesting and live-trading functionality, with a seamless transition between the two modes.
  • Output of performance statistics are based on Pandas DataFrames to integrate nicely into the existing PyData eco-system.
  • Statistic and machine learning libraries like matplotlib, scipy, statsmodels, and sklearn support development, analysis, and visualization of state-of-the-art trading systems.
  • Addition of Bitcoin price (btc_usdt) as a benchmark for comparing performance across trading algorithms.

Go to our Documentation Website.

Owner
Enigma
Solving for privacy
Enigma
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks https://github.com/CryptoSignal/Crypto-Signal Development state:

Github.com/Signal - 2,100 + stars, 580 + forks 4.2k Jan 01, 2023
personal finance tracker, written in python 3 and using the wxPython GUI toolkit.

personal finance tracker, written in python 3 and using the wxPython GUI toolkit.

wenbin wu 23 Oct 30, 2022
Python sync/async framework for Interactive Brokers API

Introduction The goal of the IB-insync library is to make working with the Trader Workstation API from Interactive Brokers as easy as possible. The ma

Ewald de Wit 2k Dec 30, 2022
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

TensorTrade: Trade Efficiently with Reinforcement Learning TensorTrade is still in Beta, meaning it should be used very cautiously if used in producti

4k Dec 30, 2022
High-performance TensorFlow library for quantitative finance.

TF Quant Finance: TensorFlow based Quant Finance Library Table of contents Introduction Installation TensorFlow training Development roadmap Examples

Google 3.5k Jan 01, 2023
Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

Quantopian, Inc. 2.5k Dec 28, 2022
bt - flexible backtesting for Python

bt - Flexible Backtesting for Python bt is currently in alpha stage - if you find a bug, please submit an issue. Read the docs here: http://pmorissett

Philippe Morissette 1.6k Jan 05, 2023
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Cedric Zhuang 1.1k Dec 28, 2022
Yahoo! Finance market data downloader (+faster Pandas Datareader)

Yahoo! Finance market data downloader Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop work

Ran Aroussi 8.4k Jan 01, 2023
An Algorithmic Trading Library for Crypto-Assets in Python

Service Master Develop CI Badge Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be eas

Enigma 2.4k Jan 05, 2023
Fourth and final milestone project

Milestone Project 4: Pound Dog Click link to visit "Pound Dog" Aim of the project The aim of this project is to provide access to a website informing

Jamie Wilson 1 Oct 31, 2021
Technical Analysis Library using Pandas and Numpy

Technical Analysis Library in Python It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Cl

Darío López Padial 3.4k Jan 02, 2023
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

Backtesting.py Backtest trading strategies with Python. Project website Documentation the project if you use it. Installation $ pip install backtestin

3.1k Dec 31, 2022
crypto utilities as a way of learning

cryptos Just me developing a pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes. This includes a lot of the c

Andrej 958 Jan 02, 2023
Portfolio and risk analytics in Python

pyfolio pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipl

Quantopian, Inc. 4.8k Jan 08, 2023
Python Backtesting library for trading strategies

backtrader Yahoo API Note: [2018-11-16] After some testing it would seem that data downloads can be again relied upon over the web interface (or API v

DRo 9.8k Dec 30, 2022
Q-Fin: A Python library for mathematical finance.

Q-Fin A Python library for mathematical finance. Installation https://pypi.org/project/QFin/ pip install qfin Bond Pricing Option Pricing Black-Schol

Roman Paolucci 247 Jan 01, 2023
Indicator divergence library for python

Indicator divergence library This module aims to help to find bullish/bearish divergences (regular or hidden) between two indicators using argrelextre

8 Dec 13, 2022
Common financial technical indicators implemented in Pandas.

FinTA (Financial Technical Analysis) Common financial technical indicators implemented in Pandas. This is work in progress, bugs are expected and resu

1.8k Dec 31, 2022