Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.



💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀


View Docs · Our Website · Join Our Newsletter · Getting Started


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.


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

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

Exchange Live Trading Websockets Paper Trading Backtesting
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 💪.

Art by DALL·E 2 - "Robots playfully trading stocks synthwave"

Metadata

Release files for blankly 1.18.25b0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for blankly 1.18.25b0
File Size Uploaded
blankly-1.18.25b0.tar.gz 212.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for blankly 1.18.25b0
File Interpreter ABI Platform
blankly-1.18.25b0-py3-none-any.whl Python 3 none any Details

Total release size: 516.6 kB

Release files / blankly-1.18.25b0.tar.gz

Download URL blankly-1.18.25b0.tar.gz
Size 212.2 kB
Tags Source
SHA-256 checksum
How to use checksums
7b26d4ba685c31465f55a197d87ec296278d696d209e88140f33f0403880d5a4
BLAKE2b-256 checksum
How to use checksums
73fba856f5aaae13280c5d6d0ddd6fd331513f63edc099b15d850e405524a88f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.0

Release files / blankly-1.18.25b0-py3-none-any.whl

Download URL blankly-1.18.25b0-py3-none-any.whl
Size 304.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
07549d6b01a5b3c66716fa34ef37e1bbfdb8e5c650bb93f7077a76db8ebd11b6
BLAKE2b-256 checksum
How to use checksums
dd2c72d10d95336b153379425d6232a114e8c8860b8a77966c6d37ad0b5bce84
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.0

Release history Release notifications | RSS feed

This release

1.18.25b0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page