Online autonomous time series prediction of near martingales
Project description
MidOne
Utilities to help build Attackers
that detect small departures from martingality in time-series.
Crunch Mid-One Contest notebooks
Play the game! You might win some cash or even have ongoing upside.
Contest notebook | Description |
---|---|
Mean reversion attacker | Illustrates use of the Attacker class |
Momentum attacker | Illustrates use of running calculations |
Regression Attacker | Illustrates running regression pattern |
About
This package is intended to make life simpler for those participating in an ongoing tournament at CrunchDAO.com, although it hopefully has independent interest. For instance, you might build on Attacker
or examples herein to help find signal in your model residuals.
- Standalone colab notebooks demonstrating
Attacker
class independently of the contest. - See the README in attacker.md.
- It's also highly recommended to read the FAQ.md.
Install
Stable:
pip install endersgame
Latest:
pip install git+https://github.com/microprediction/endersgame.git
Getting help
See the discord channel and CrunchDAO.com.
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