blankly

blankly

优化量化交易模型开发与部署的一站式生态系统

Blankly是一个专为算法交易者设计的生态系统,支持股票、加密货币、期货和外汇等多种资产类型。该平台提供高精度的模拟和实盘交易功能,实现回测、模拟交易和实盘运行的无缝切换。Blankly支持本地开发,并提供部署、迭代和分享功能。其统一的API接口兼容多个交易所,同时具备强大的回测和事件处理能力,为量化交易策略的开发和优化提供全面支持。

量化交易算法交易Blankly回测多资产交易Github开源项目
<br /> <div align="center"> <img style="margin: 0 auto; padding-bottom: 15px; padding-top: 30px" width=70%" src="https://firebasestorage.googleapis.com/v0/b/blankly-6ada5.appspot.com/o/blankly-github-logo.png?alt=media&token=8f436cd2-3d28-432c-867a-afef780f4260"> </div> <br /> <div align="center"> <b>💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀</b> </div> <br /> <p align="center"> <a target="_blank" href="https://sonarcloud.io/dashboard?id=Blankly-Finance_Blankly"><img src="https://sonarcloud.io/api/project_badges/measure?project=Blankly-Finance_Blankly&metric=sqale_rating"></a> <a target="_blank" href="https://sonarcloud.io/dashboard?id=Blankly-Finance_Blankly"><img src="https://sonarcloud.io/api/project_badges/measure?project=Blankly-Finance_Blankly&metric=alert_status"></a> <a target="_blank" href="https://github.com/Blankly-Finance/Blankly/actions/workflows/test.yml"><img src="https://github.com/Blankly-Finance/Blankly/actions/workflows/test.yml/badge.svg?branch=main"></a> <br> <a target="_blank" href="https://pepy.tech/project/blankly"><img src="https://pepy.tech/badge/blankly/month"></a> <a target="_blank" href="https://github.com/Blankly-Finance/Blankly/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/blankly?color=gree"></a> <a target="_blank" href="https://github.com/Blankly-Finance/Blankly/stargazers"><img src="https://img.shields.io/github/stars/blankly-finance/blankly?style=social"></a> <a target="_blank" href="https://discord.gg/XWcmy7Y9bb"><img src="https://img.shields.io/discord/821563936297451530.svg?color=7289da&label=Blankly%20Discord&logo=discord&style=flat"></a> <a target="_blank" href="https://reddit.com/r/blankly"><img src="https://badgen.net/reddit/subscribers/r/blankly"></a> </p> <p align="center"> <a target="_blank" href="https://docs.blankly.finance">View Docs</a> · <a target="_blank" href="https://blankly.finance">Our Website</a> · <a target="_blank" href="https://blankly.substack.com">Join Our Newsletter</a> · <a href="#quickstart">Getting Started</a> </p>

Why Blankly?

Blankly is an ecosystem for algotraders enabling anyone to build, monetize and scale their trading algorithms for stocks, crypto, futures or forex. The same code can be backtested, paper traded, sandbox tested and run live by simply changing a single line. Develop locally then deploy, iterate and share using the blankly platform.

The blankly package is designed to be extremely precise in both simulation and live trading. The engineering considerations for highly accurate simulation are described here

Getting started is easy - just pip install blankly and blankly init.

Check out our website and our docs.

<div align="center"> <a target="_blank" href="https://youtu.be/pcm0h63rhUU"><img src="https://firebasestorage.googleapis.com/v0/b/blankly-6ada5.appspot.com/o/github%2Fbuild_a_bot_readme_thumbnail.jpg?alt=media&token=a9dd030a-805c-447f-a970-2bc8e1815662" style="border-radius:10px; width: 50%"></a> </div>

Trade Stocks, Crypto, Futures, and Forex

from blankly import Alpaca, CoinbasePro stocks = Alpaca() crypto = CoinbasePro() futures = BinanceFutures() # Easily perform the same actions across exchanges & asset types stocks.interface.market_order('AAPL', 'buy', 1) crypto.interface.market_order('BTC-USD', 'buy', 1) # Full futures feature set futures.interface.get_hedge_mode()

Backtest your trades, events, websockets, and custom data

import blankly """ This example shows how backtest over tweets """ class TwitterBot(blankly.Model): def main(self, args): while self.has_data: self.backtester.value_account() self.sleep('1h') def event(self, type_: str, data: str): # Now check if it's a tweet about Tesla if 'tsla' in data.lower() or 'gme' in data.lower(): # Buy, sell or evaluate your portfolio pass if __name__ == "__main__": exchange = blankly.Alpaca() model = TwitterBot(exchange) # Add the tweets json here model.backtester.add_custom_events(blankly.data.JsonEventReader('./tweets.json')) # Now add some underlying prices at 1 month model.backtester.add_prices('TSLA', '1h', start_date='3/20/22', stop_date='4/15/22') # Backtest or run live print(model.backtest(args=None, initial_values={'USD': 10000}))

Check out alternative data examples here

Accurate Backtest Holdings

<div align="center"> <a><img src="https://firebasestorage.googleapis.com/v0/b/blankly-6ada5.appspot.com/o/github%2FScreen%20Shot%202022-04-17%20at%202.37.58%20PM.png?alt=media&token=d5738617-e197-4da2-850d-8fbbfda05275" style="border-radius:10px"></a> </div>

Go Live in One Line

Seamlessly run your model live!

# Just turn this strategy.backtest(to='1y') # Into this strategy.start()

Dates, times, and scheduling adjust on the backend to make the experience instant.

Quickstart

Installation

  1. First install Blankly using pip. Blankly is hosted on PyPi.
$ pip install blankly
  1. Next, just run:
$ blankly init

This will initialize your working directory.

The command will create the files keys.json, settings.json, backtest.json, blankly.json and an example script called bot.py.

If you don't want to use our init command, you can find the same files in the examples folder under settings.json and keys_example.json

  1. From there, insert your API keys from your exchange into the generated keys.json file or take advantage of the CLI keys prompt.

More information can be found on our docs

Directory format

The working directory format should have at least these files:

project/
   |-bot.py
   |-keys.json
   |-settings.json

Additional Info

Make sure you're using a supported version of python. The module is currently tested on these versions:

  • Python 3.7
  • Python 3.8
  • Python 3.9
  • Python 3.10

For more info, and ways to do more advanced things, check out our getting started docs.

Supported Exchanges

ExchangeLive TradingWebsocketsPaper TradingBacktesting
Coinbase Pro🟢🟢🟢🟢
Binance🟢🟢🟢🟢
Alpaca🟢🟢🟢🟢
OANDA🟢🟢🟢
FTX🟢🟢🟢🟢
KuCoin🟢🟢🟢🟢
Binance Futures🟢🟢🟢🟢
FTX Futures🟡🟡🟢🟢
Okx🟢🟢🟢🟢
Kraken🟡🟡🟡🟡
Keyless Backtesting🟢
TD Ameritrade🔴🔴🔴🔴
Webull🔴🔴🔴🔴
Robinhood🔴🔴🔴🔴

🟢 = working

🟡 = in development, some or most features are working

🔴 = planned but not yet in development

RSI Example

We have a pre-built cookbook examples that implement strategies such as RSI, MACD, and the Golden Cross found in our examples.

Other Info

Subscribe to our news!

https://blankly.substack.com/p/coming-soon

Bugs

Please report any bugs or issues on the GitHub's Issues page.

Disclaimer

Trading is risky. We are not responsible for losses incurred using this software, software fitness for any particular purpose, or responsibility for any issues or bugs. This is free software.

Contributing

If you would like to support the project, pull requests are welcome.

Licensing

Blankly is distributed under the LGPL License. See the LICENSE for more details.

New updates every day 💪.

<div align="center"> <img src="https://firebasestorage.googleapis.com/v0/b/blankly-6ada5.appspot.com/o/github%2Fblanklybots.png?alt=media&token=005728b0-5f49-476d-968a-07fe0683ca09" style="border-radius:10px; width: 30%"> </div> Art by DALL·E 2 - "Robots playfully trading stocks synthwave"

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