libcryptomarket 0.1.3

Library for cryptocurrency market information.

# libcryptomarket: Powerful cryptocurrency market analysis toolkit

## Objective

The library is for researchers to analysis cryptocurrency in a fast and
flexible way. Currently there are different source of API to get the
cryptocurrency market information. The sources are from websites which provides
a general comparative information among the currencies and from exchanges. The
target is to normalize the API functions from data source, and let the users
query the data without pain.


## Prerequisite

Python 3.5+

## Installation

You can install it via pip for static version

```
pip install libcryptomarket
```

or development version

```
pip install git+https://github.com/libcryptomarket/libcryptomarket.git
```

## Usage

All the query result are converted into pandas Series or DataFrame.

### Instrument

To get a list of available currencies, run

```
from libcryptomarket.instrument import get_instruments

instruments = get_instruments()
```

### Historical

Currently, multiple data sources of historical data are supported.

For example, for the source of [Cryptocompare](https://www.cryptocompare.com/api/#),
run

```
from datetime import datetime
from libcryptomarket.historical import get_historical_prices

prices = get_historical_prices(source='cryptocompare',
symbol='LTC/BTC',
exchange='Poloniex',
period="hour",
from_time=datetime(2017, 5, 1),
to_time=datetime(2017, 8, 1))
```

Then you can get historical price in ascending order seamlessly, even though
the limit has exceeded the source limit. The application helps continue
querying until the data reaches the requirements.

For the source of [Poloniex](https://poloniex.com/support/api/), run

```
prices = get_historical_prices(source='Poloniex',
symbol='LTC/BTC',
period="30m",
from_time=datetime(2016, 1, 1),
to_time=datetime(2017, 8, 1))
```

## Contribution

The project is targeting as a core but generic toolkit to query cryptocurrency
market, so we are happy if you join to contribute and make it better. Please
do not hesitate to contact us (gavincyi at gmail dot com).

=======
History
=======

0.1.0 (2017-11-07)
------------------

* First release on PyPI.