semvec/pypi-packages huggingface dataset:
csscolors 1.0.3
CSS Colors in hex color codes.
Requires Python: >=3.5

# CSS Colors
[![Build Status](http://drone.jakke.se/api/badges/jakkes/py-csscolors/status.svg)](http://drone.jakke.se/jakkes/py-csscolors)

Simply all css colors easily accessible in hex color code.

```python
>>> import csscolors
>>> csscolors.RED
'#ff0000'
```

Also allows for iteration:
```python
>>> import csscolors
>>> for color_name, hex_code in csscolors.iterator():
...     print(color_name, hex_code)
ALICE_BLUE #f0f8ff
ANTIQUEWHITE #faebd7
AQUA #00ffff
AQUAMARINE #7fffd4
AZURE #f0ffff
BEIGE #f5f5dc
BISQUE #ffe4c4
BLACK #000000
BLANCHED_ALMOND #ffebcd
BLUE #0000ff
...
...
...
```

## Install
Install through `pip`:
```bash
pip install csscolors
```


## Documentation
https://jakkes.github.io/py-csscolors/csscolors/
gumnut-server 1.0.0rc1
gumnut-server
Requires Python: >=3.6

gumnut server
#############



Documentation
*************

Please refer to https://gumnut-server.readthedocs.org



Changelog
*********

1.0.0
=====

Added
-----

-  Documentation (still in progress, though)
-  Introduced ``tox`` for handling testing, build, and publishing tasks
-  Introduced Github Actions for automated testing
ProfiTrade-HarriSiva 0.0.1
A proprietary open source fintech python package with a plethora of features for building equity and cryptocurrency trading algorithms.
Requires Python: >=3.6

# ProfiTrade-Package 0.0.1

A proprietary open source fintech python package with a plethora of features for building equity and cryptocurrency trading algorithms.

## Features

### Data.Price

Crypto (Class):

- Historical: This function takes the interval and outputsize as parameters, using the alpha vantage API, it returns a df with historical price data.
- Current: If toAppend (parameter) is set true, the function takes in a pandas dataframe and appends the current price data. Else, when toAppend is false, using the alpha vantage API, it returns a df with the current crypto exchange rate.

Stock (Class):

- historicalIntraday: This function takes the interval and outputsize as parameters, using the alpha vantage API, it returns a df with historical intraday price data.
- historicalIntradayExtended: This function takes the interval as parameters, using the alpha vantage API, it returns a df with extended historical intraday price data.
- historicalDaily: This function takes the outputsize as parameters, using the alpha vantage API, it returns a df with historical daily price data.

### Indicators.Technical

SMA(func.): Given a pandas dataframe, this function calculates and adds simple moving average.
RSI(func.): Given a pandas dataframe, this function calculates and adds relative strength index.
EMA(func.): Given a pandas dataframe, this function calculates and adds expotential moving average.
MACD(func.): Given a pandas dataframe, this function calculates and adds Moving Average Convergence Divergence.
BOLBANDS(func.): Given a pandas dataframe, this function calculates and adds the Boll. Bands.

### Screen.Finviz

.Quantitative:

- MostVolatile
- MostActive
- TopGainers
  .Technical:
- HorizontalSupportResistance
- SidewaysHighVolume
- SidewaysChannel

## Upcomming Features

- Multiple trade logging functions (xl, csv, email, pandas etc.)
- Catalyst (Using ML to differentiate between negative and positve news, social media sentiment etc.)
- Fundemental Analysis (Based on financial ratios, financial health and future cash flow models etc.)
- Economic Analysis (Using bond yields, interest rates, fed decisions)
- Financial Data (Cash flow and other financial statements)
- Technical Analysis
- Any many more comming soon for free!