# endersgame 
Utilities to help build `Attackers` that detect small departures from martingality in time-series.
### About
This package is intended to make life simpler for those participating in an ongoing tournament at [CrunchDAO.com](https://www.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.
- Colab [notebooks](https://github.com/microprediction/endersnotebooks) demonstrating `Attacker`.
- See the README in [attacker.md](https://github.com/microprediction/endersgame/blob/main/endersgame/attackers/attacker.md).
- It's also highly recommended to read the [FAQ.md](https://github.com/microprediction/endersgame/blob/main/endersgame/attackers/FAQ.md).
### Install
Stable:
pip install endersgame
Latest:
pip install git+https://github.com/microprediction/endersgame.git
### Contest
Play the game! You might win some cash or even have ongoing upside.
| Contest notebook | Description |
| --- | --- |
| [Mean reversion](https://github.com/crunchdao/quickstarters/blob/master/competitions/mid-one/mean_reversion/mean_reversion.ipynb) | A minimalist contest entry notebook |
| [Mean reversion attacker](https://github.com/microprediction/quickstarters/blob/master/competitions/mid-one/mean_reversion_attacker/mean_reversion_attacker.ipynb) | Illustrates use of the `Attacker` class|
| [Momentum attacker](https://github.com/microprediction/quickstarters/blob/master/competitions/mid-one/momentum_attacker/momentum_attacker.ipynb) | Illustrates use of running calculations |
| [Regression Attacker](https://github.com/microprediction/quickstarters/blob/master/competitions/mid-one/regression_attacker/regression_attacker.ipynb) | Illustrates running regression pattern |
See the [discord channel](https://discord.gg/NuqJTcYQ2J) and [CrunchDAO.com](https://www.crunchdao.com).
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"description": "# endersgame \n\nUtilities to help build `Attackers` that detect small departures from martingality in time-series. \n\n### About\nThis package is intended to make life simpler for those participating in an ongoing tournament at [CrunchDAO.com](https://www.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. \n\n - Colab [notebooks](https://github.com/microprediction/endersnotebooks) demonstrating `Attacker`.\n - See the README in [attacker.md](https://github.com/microprediction/endersgame/blob/main/endersgame/attackers/attacker.md). \n - It's also highly recommended to read the [FAQ.md](https://github.com/microprediction/endersgame/blob/main/endersgame/attackers/FAQ.md).\n\n\n### Install \nStable:\n\n pip install endersgame \n\nLatest:\n\n pip install git+https://github.com/microprediction/endersgame.git\n \n### Contest \n\nPlay the game! You might win some cash or even have ongoing upside. \n\n| Contest notebook | Description |\n| --- | --- |\n| [Mean reversion](https://github.com/crunchdao/quickstarters/blob/master/competitions/mid-one/mean_reversion/mean_reversion.ipynb) | A minimalist contest entry notebook |\n| [Mean reversion attacker](https://github.com/microprediction/quickstarters/blob/master/competitions/mid-one/mean_reversion_attacker/mean_reversion_attacker.ipynb) | Illustrates use of the `Attacker` class|\n| [Momentum attacker](https://github.com/microprediction/quickstarters/blob/master/competitions/mid-one/momentum_attacker/momentum_attacker.ipynb) | Illustrates use of running calculations |\n| [Regression Attacker](https://github.com/microprediction/quickstarters/blob/master/competitions/mid-one/regression_attacker/regression_attacker.ipynb) | Illustrates running regression pattern |\n\n\nSee the [discord channel](https://discord.gg/NuqJTcYQ2J) and [CrunchDAO.com](https://www.crunchdao.com). \n\n\n",
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