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aegis-engine-1.0.7
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مشاهده بیشترتوضیحات
Capital market asset valuation engine.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aegis-engine-1.0.7 |
| نام | aegis-engine |
| نسخه کتابخانه | 1.0.7 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Bailey de Villiers |
| ایمیل نویسنده | bailey.devilliers@gmail.com |
| آدرس صفحه اصلی | https://github.com/itchysnake/aegis |
| آدرس اینترنتی | https://pypi.org/project/aegis-engine/ |
| مجوز | MIT |
# Aegis
<p align="center">
</a>
<h4 align="center">Multi-dimensional asset valuation engine for capital market securities.</h4>
</p>
<div align="center">
<a href="https://github.com/itchysnake/aegis/blob/master/LICENSE" target="blank">
<img src="https://img.shields.io/github/license/itchysnake/aegis" alt="aegis licence"/>
</a>
<a href="https://github.com/itchysnake/aegis/fork" target="blank">
<img src="https://img.shields.io/github/forks/itchysnake/aegis" alt="aegis forks"/>
</a>
<a href="https://github.com/itchysnake/aegis/issues" target="blank">
<img src="https://img.shields.io/github/issues/itchysnake/aegis" alt="aegis issues"/>
</a>
<a href="https://github.com/itchysnake/aegis/pulls" target="blank">
<img src="https://img.shields.io/github/issues-pr/itchysnake/aegis" alt="aegis pull-requests"/>
</a>
<img src="https://img.shields.io/github/last-commit/itchysnake/aegis" alt="aegis last-commit"/>
</div>
<p align="center">
<a href="https://github.com/itchysnake/aegis/issues/new/choose">Report Bug</a>
·
<a href="https://github.com/itchysnake/aegis/issues/new/choose">Request Feature</a>
</p>
# What is Aegis?
`Aegis` is an open source asset valuation engine that uses many dimensions to create a price profile for an asset. A **dimension** is a general category of evaluation. This evaluation may or may not be a _valuation_ as it could just relate to a general fact/figure such as employment statistics.
**Dimensions** are further broken down into components. For example "charts" is a **dimension** which is comprised of **components**: technical indicators, trading psychology, boundaries, and patterns.
> In terms of package hierarchy: Aegis > Dimension > Component > Class > Function
> E.g. Aegis > Equity > Risk > Risk > Sharpe()
**Dimensions** exist as sub-packages within the Aegis package and can/should be combined by the developer with various other dimensions/components to create hollistic asset valuation. The dimensions and their components are broken down as follows:
* Charts (incomplete)
* Bounds (e.g. all_time_high, all_time_low))
* Indicators (e.g. RSI, OBV, SMA)
* Shapes (e.g. square_consolidating, head_and_shoulders)
* Trend (e.g. strength, forecast)
* Debt
* Utilities
* Equity
* Accounting (e.g. asset_composition, liquidity)
* Growth (e.g. plowback, roe, growth)
* Risk (e.g. beta, cost_of_capital, wacc)
* Statistics (e.g. var, covariance, correlation)
* Valuation (e.g. div_yield, ddm, fixed_div, gordons, PVGO)
* Macroeconomic (incomplete)
* GDP (e.g. GDP, gov_consum, investment)
* Labour (e.g. employment, unemployment, labour_force)
* Price (e.g. cpi, ppi)
* Trade
* Rates (incomplete)
* Sentiment (incomplete)
These dimensions and their relevant components allow `Aegis` to evaluate most assets not only according to their accounting book value, but also in accordance with the market, similar-risk products, macro conditions, and more.
# Getting Started
`Aegis` uses common data science libraries such as `pandas` for most of its needs.
### Installation
1. To get started with `aegis`:
```bash
pip install git+ttps://github.com/itchysnake/aegis
```
If this is giving you errors you can alternatively try:
```bash
python -m pip install git+ttps://github.com/itchysnake/aegis
```
2. Check your installation directory
### Usage
Once installed you can get started by calling the package:
```
import aegis
# Using 'charts' dimension
amzn_ath = aegis.charts.bounds.Bounds.ath("AMZN","6mo")
nflx_rsi = aegis.charts.indicators.Indicators.rsi(
ticker = "NFLX",
period =" 6mo",
window = 14
)
# Using 'equity' dimension
aapl_roe = aegis.equity.growth.Growth.roe("AAPL")
msft_risk = aegis.equity.risk.Risk.sharpe("MSFT")
# Using 'macro' dimension
spain_labour = aegis.macro.labour.Labour.unemployment("Spain")
jpn_gdp = aegis.macro.gdp.GDP.gdp("Japan", type = "real")
```
Feel free to experiment and combine indicators to create valuable insights into the markets.
# Data Procurement
Data procurement is not included in Aegis natively. I am currently building a package to integrate Aegis with the existing [Alpaca Markets API](https://github.com/alpacahq/alpaca-trade-api-python). At this time you must use whatever is comfortable for you.
# License
Aegis is released under the [MIT License](https://github.com/itchysnake/aegis/blob/master/LICENSE).
نحوه نصب
نصب پکیج whl aegis-engine-1.0.7:
pip install aegis-engine-1.0.7.whl
نصب پکیج tar.gz aegis-engine-1.0.7:
pip install aegis-engine-1.0.7.tar.gz