Metadata-Version: 2.1
Name: quantmod-python
Version: 0.0.3
Summary: Quantmod Python Package
Home-page: https://kannansingaravelu.com/
Author: Kannan Singaravelu
Author-email: inquant@outlook.com
License: Apache License 2.0
Keywords: python,quant,quantmod,quantmod-python
Platform: any
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Office/Business :: Financial
Classifier: Topic :: Office/Business :: Financial :: Investment
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: arch==7.0.0
Requires-Dist: numpy>=2.0.2
Requires-Dist: pandas>=2.2.2
Requires-Dist: pydantic>=2.8.2
Requires-Dist: scipy>=1.13.1
Requires-Dist: tabulate>=0.9.0
Requires-Dist: urllib3==1.26.15
Requires-Dist: yfinance>=0.2.43

**Quantmod Python Library**

**quantmod** package is inspired by the quantmod package for R. This new tool is designed to assist quantitative traders and data analysts with the development, testing, and rapid prototyping of trading strategies. quantmod features a straightforward and intuitive interface aimed at simplifying workflows and boosting productivity.


## Installation
The easiest way to install quantmod is using pip:

```bash
pip install quantmod-python
```


## Modules

* [markets](https://kannansingaravelu.com/docs/site/markets/)
* [models](https://kannansingaravelu.com/docs/site/models/)
* [risk](https://kannansingaravelu.com/docs/site/risk/) 
* [timeseries](https://kannansingaravelu.com/docs/site/timeseries/)
* [indicators](https://kannansingaravelu.com/docs/site/indicators/)
* [derivatives](https://kannansingaravelu.com/docs/site/derivatives/)


## Quickstart

```py
# Retrieves market data & ticker object 
from quantmod.markets import getData, getTicker

# Option price
from quantmod.models import OptionInputs, BlackScholesOptionPricing, MonteCarloOptionPricing

# Calculates price return of different time period.
from quantmod.timeseries import *

# Technical indicators
from quantmod.indicators import ATR

# Derivatives functions
from quantmod.derivatives import maxpain
```
<br>
Note: quantmod is currently under active development, and anticipate ongoing enhancements and additions. The aim is to continually improve the package and expand its capabilities to meet the evolving needs of the community.


## Examples
Refer to the [examples](https://kannansingaravelu.com/) section for more details.


## Changelog
Refer [here](https://kannansingaravelu.com/docs/site/)


## Legal 
`quatmod` is distributed under the **Apache Software License**. See the [LICENSE.txt](https://www.apache.org/licenses/LICENSE-2.0.txt) file in the release for details.
