**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
```
## 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/)
* [datasets](https://kannansingaravelu.com/docs/site/datasets/)
## Quickstart
```py
# Retrieves market data & ticker object
from quantmod.markets import getData, getTicker
# Option price
from quantmod.models import OptionInputs, BlackScholesOptionPricing, MonteCarloOptionPricing
# Risk measures
from quantmod.risk import RiskInputs, ValueAtRisk, ConditionalVaR, VarBacktester
# 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
# Datasets functions
from quantmod.datasets import fetch_historical_data
```
<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.
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"description": "**Quantmod Python Library**\n\n**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.\n\n\n## Installation\nThe easiest way to install quantmod is using pip:\n\n```bash\npip install quantmod\n```\n\n\n## Modules\n\n* [markets](https://kannansingaravelu.com/docs/site/markets/)\n* [models](https://kannansingaravelu.com/docs/site/models/)\n* [risk](https://kannansingaravelu.com/docs/site/risk/) \n* [timeseries](https://kannansingaravelu.com/docs/site/timeseries/)\n* [indicators](https://kannansingaravelu.com/docs/site/indicators/)\n* [derivatives](https://kannansingaravelu.com/docs/site/derivatives/)\n* [datasets](https://kannansingaravelu.com/docs/site/datasets/)\n\n\n## Quickstart\n\n```py\n# Retrieves market data & ticker object \nfrom quantmod.markets import getData, getTicker\n\n# Option price\nfrom quantmod.models import OptionInputs, BlackScholesOptionPricing, MonteCarloOptionPricing\n\n# Risk measures\nfrom quantmod.risk import RiskInputs, ValueAtRisk, ConditionalVaR, VarBacktester\n\n# Calculates price return of different time period.\nfrom quantmod.timeseries import *\n\n# Technical indicators\nfrom quantmod.indicators import ATR\n\n# Derivatives functions\nfrom quantmod.derivatives import maxpain\n\n# Datasets functions\nfrom quantmod.datasets import fetch_historical_data\n```\n<br>\nNote: 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.\n\n\n## Examples\nRefer to the [examples](https://kannansingaravelu.com/) section for more details.\n\n\n## Changelog\nRefer [here](https://kannansingaravelu.com/docs/site/)\n\n\n## Legal \n`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.\n",
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