Mid+One 
Utilities to help build Attackers that detect small departures from martingality in time-series.
Contest entry notebook examples
Play the game at CrunchDAO.com! 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.
- See the README in attacker.md.
- It's also highly recommended to read the FAQ.md.
Install
Stable:
pip install midone
Latest:
pip install git+https://github.com/microprediction/midone.git
Getting help
See the discord channel and CrunchDAO.com.
1 maintainer
Metadata
1 maintainer
Release files for midone 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| midone-1.0.4.tar.gz | 19.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| midone-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.0 kB
Release files / midone-1.0.4.tar.gz
| Download URL | midone-1.0.4.tar.gz |
|---|---|
| Size | 19.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Release files / midone-1.0.4-py3-none-any.whl
| Download URL | midone-1.0.4-py3-none-any.whl |
|---|---|
| Size | 26.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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