zipline-reloaded
Trading library
A comprehensive Pythonic algorithmic trading library used for backtesting and developing trading strategies
Zipline, a Pythonic Algorithmic Trading Library
1k stars
40 watching
217 forks
Language: Python
last commit: 3 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| stefan-jansen/pyfolio-reloaded | Provides comprehensive performance and risk analysis tools for financial portfolios using Python and the Zipline backtesting library. | 393 |
 edouardpoitras/nowtrade | A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
| stefan-jansen/empyrical-reloaded | A Python package providing common financial risk and performance metrics used in portfolio optimization | 58 |
 quantrocket-llc/zipline-extensions | An adapter layer between Zipline and QuantRocket for algorithmic backtesting | 18 |
 alpacahq/pylivetrader | A Python framework for live trading with broker API interface | 665 |
 robcarver17/systematictradingexamples | A collection of code examples focused on systematic trading strategies and related algorithms using Python. | 375 |
| stefan-jansen/alphalens-reloaded | Analyzes performance of predictive stock factors | 334 |
 jimgoo/zipline-tensorboard | An open source project that integrates TensorBoard with Zipline for backtesting trading strategies | 106 |
 letianzj/quanttrader | A Python-based backtesting and live trading package for quantitative traders. | 541 |
 johnbywater/quantdsl | A domain-specific language for quantitative analytics in finance and trading | 345 |
 ryansb/disq | A Python client library for interacting with the Disque distributed job queue system | 52 |
 scottfreellc/alphapy | An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,170 |
 lumiwealth/lumibot | A backtesting and trading library for various assets and markets | 930 |
 jrmeier/fast-trade | Enables quick analysis and backtesting of trading strategies using technical indicators and chart data | 377 |
 yhilpisch/py4at | A collection of Jupyter Notebooks and Python code supporting the book on algorithmic trading using Python. | 701 |