zipline
fast-trade
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zipline | fast-trade | |
---|---|---|
14 | 12 | |
16,997 | 334 | |
0.8% | - | |
0.0 | 3.7 | |
about 2 months ago | 1 day ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
zipline
- Ask HN: How to Get into Quantitative Trading?
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Open source backtesting software
https://github.com/quantopian/zipline (event-driven)
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10 FinTech APIs every Indian developer should bookmark
Zipline by Quantopian: An Open-Source tool for algorithmic trading. It is a platform for developing and testing quantitative trading strategies using Python.
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Backtesting Engine Design Primers
For personal use only. I'm currently looking at QuantConnect's LEAN and Quantopian's Zipline (which hasn't seen any updates since 2020, presumably because Quantopian was dissolved).
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[D] Doing my (bachelor) thesis on RL. Which topic do you like best?
(1) I remember there were decent libraries for this setting a while back. Maybe take a look at Quantopian/Zipline.
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Best Backtesting Libraries (Python)
zipline – Zipline is a Pythonic algorithmic trading library. It is an event-driven system that supports both backtesting and live trading.
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Custom forex backtester
However if you need to take into account more market effects, I suggest that you look into zipline (however the learning curve is steeper and it can be hard to implement custom ideas).
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Looking for active python backtesting framework
Yea I just see it has no commits since October https://github.com/quantopian/zipline
fast-trade
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Important python libraries?
I'm also going to shamelessly plug fast-trade, which is a backtesting library where you write strategies as objects instead of actual code. It's also built on a couple of pretty wonderful libraries including pandas and FinTa, which has a lot of indicators and it's really simple to use.
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Custom forex backtester
I wrote fast-trade to answer exactly questions like this
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What do they use to manage the tick data?
For ohlcv data,I wrote fast-trade with a data downloader. Basically it pulls 1 minute Kline data from Binance. It’s pretty easy to keep up to date. It works well for managing a local cache for backtesting.
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Best Python libraries for backtesting and algo trading
Hey! Yup, here you go: https://fasttrade.dev. Here's the script I use to do it: https://github.com/jrmeier/fast-trade/blob/master/fast_trade/update_symbol_data.py. I also have a discord with some people that are also doing trading stuff (I’m also building a platform around this stuff). Let me know if you would like an invite!
I’m working on fast-trade. It’s small, simple library you can set up technical analysis with for live trading and backtesting.
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How to start developing your own backtester
You can start with fast-trade if you’d like. It’s a pretty simple backtesting engine but you can modify it however you’d like. Full disclosure I made it but I was trying to figure out how to get started as well and this is what I ended up with. Good luck!
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Backtesting tool for python binance
I wrote fast-trade to do exactly that. Funny enough I wrote it for Binance but it works with any Kline data.
- An awesome list about crypto trading bots : find open source crypto trading bots, technical analysis and market data libraries, data providers, APIs, ...
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Looking for active python backtesting framework
I wrote fast-trade, you can use it from the command line or a script. Strategies are in JSON, so it’s easy to iterate.
What are some alternatives?
backtrader - Python Backtesting library for trading strategies
pyfolio - Portfolio and risk analytics in Python
backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
quantstats - Portfolio analytics for quants, written in Python
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
bcolz - A columnar data container that can be compressed.
jesse - An advanced crypto trading bot written in Python
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python