semvec/pypi-packages huggingface dataset:
py-fpff 1.0.0
Library for working with FPFF

# py-fpff

[![PyPi version](https://img.shields.io/pypi/v/py-fpff)](https://pypi.org/project/py-fpff/)

Library for working with FPFF.

## Getting Started

### Install
```
pip install py-fpff
```

### Sample Code
```
from py_fpff import FPFF, SectionType

with open('./input.fpff') as f:
    fpff = FPFF(f)
    fpff.append(SectionType.ASCII, 'Hello, world!')
    fpff.export('./exported')
```

## Testing

```
python -m unittest
```

## Building Documentation

```
# Install Sphinx and ReadTheDocs theme
pip install Sphinx sphinx_rtd_theme

cd ./docs
make html
```
eagle-kaist 0.0.1
Stock Extractor library
Requires Python: >=3.7.6

## Stock Prediction Pipeline

### Step 1 - Build Stock Database

### Step 2 - Normalize Stock Data

### Step 3 - Build Features and Visualization

### Step 3 - Build Prediction Models

## Metrics
The metrics of prediction models should be based on profits and loss they give.

1. Profit vs. loss

2. Backtest


## Stock data

Collected stock data include following values:
* Close 
* Open
* High
* Low
* Volumn
* Change
* Percentage Change

Derivative values:
* Return
* Alpha
* Volatility
* Alpha*
* Sharpe

## Business Taxonomy
There is a large number of companies in stock market. It is crucial to take a look over their financial reports and market indices to have a correct view of the companies' business status.

In this section, we want to build several main groups of companies. Each group represents the area of business that the company is taking part in. In addition, we target to give a common credit score for each group, and also the rank of company in that group.

* Input:
    - Stock indices
    - Companies financial reports

* Output:
    - We want to have a comparison between the areas and give the advice on which business we should invest in.
    - We want to have a table that ranks companies and shows their potential in market.


## Installation:

```bash
conda create --name eagle python=3.7
conda activate eagle
pip install -r requirements.txt
```
anonfileupload 1.0.0
file upload to anonfile server
Keywords: anonfile anonymous upload

# anonfile-upload-script
An upload script for anonfile.com made in python. Supports multiple files.
I created this for my own use.

## Installation

```bash
pip install 
```

## Usage

```bash
python3 upload.py {path-to-file 1} {path-to-file 2}...
```
## You can change file name before upload on anonfile server