Skip to main content

simple to use, batteries included, tools for quantitative trading.

Project description

# What is margot?

## margot wants you to be a better quant.

margot is a “batteries included” library for systematic trading with an emphasis on ease of use.

## margot wants to help you:

- Wrangle data - use a simple Django ORM inspired API to blend data from a variety of sources into a consolidated time-series dataframe.

- Reuse features - a library of reusable features to apply to your data.

- Make custom features - easily create features out of your preferred indicators or ratios, and incorporate them in to your algorithms in a repeatable way.

- Write algorithms that trade - TODO express your idea using simple logic, without getting bogged down by the nuances of Pandas or stochastic algebra.

- Walk-forward backtest your algos - TODO Backtest your algorithm, generating a historical returns time-series that can be analysed using pyfolio.

- Manage risk - TODO Learn the expected volatility of a strategy so that you can size it into your portfolio.

- Allocate accordingly - TODO allocate funds to a strategy based on realised volatility.

- Trade - TODO execute your trades with your brokers API.

- Bookkeep - TODO track fees and P&L, per strategy.

## Status This is still an early stage software project, and should not be used for live trading.

## Getting Started

pip install margot

## Documentation

in progress - for examples see the notebooks folder.

## Contributing Feel free to make a pull request; but please feel even free-er to chat about your idea first via issues.

The general idea is to keep things simple. This is intended to be long-running operational software; it must be easy to maintain, and easy to understand.

Dependencies are kept to a minimum. Generally if there’s a way to do something in the standard library (or numpy / Pandas), let’s do it that way rather than seeking the convenience of another library.

## Resources

If you come across this, I suggest you checkout http://robotwealth.com. Kris and James taught me everything I know about trading. They’re like 5th Dan blackbelts at quantitative finance. You should try one of their bootcamps.

## License This version of this software may only be used under the terms set out in [the License](License.txt).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

margot-0.2.5.tar.gz (19.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page