A python Netfonds intraday and history data downloader and processor.
from ntfdl import Dl
stl = Dl('STL', exchange='OSE', download=True)
stl.trades.tail()
stl.trades.price.plot(drawstyle='steps')
plt.title("Statoil ASA (STL.OSE)")
The norwegian broker Netfonds ASA kindly makes 15 minute delayed intraday data (up to 20 days) as well as historical data available freely as csv files.
See Netfonds marketplaces for supported marketplaces.
This package uses Pandas and most returned data is a Pandas dataframe. News and Info uses bs4.
Author is not connected or affiliated with Netfonds ASA.
Supports:
- intraday trades and optional vwap
- intraday positions (orderbook)
- resampling intraday trades to ohlcv with custom resampling window and optional moving averages
- merging multiple days of intraday data (trades, positions or trades resampled as ohlcv)
- retrieving news for instrument
- retrieving info for instrument
Do not (yet) support:
- Currencies
- Commodities
Ntfdl is only available from github, but if any interest I'll put it on PyPi (make an issue)
Clone or download package.
git clone https://github.com/ntftrader/ntfdl.git
You can make it a virtualenv by:
virtualenv ntfdl
Enter and activate virtualenv:
cd ntfdl/
source bin/activate
Make sure Pandas package is installed:
pip install pandas
To run the Jupyter notebooks, Jupyter needs to be installed.
Ntfdl returns data as Pandas dataframes, which makes life easy for processing and plotting the dataframes.
An example using the D3.js based financial charting library Techan.js with static csv files generated by ntfdl and Pandas DataFrame.to_csv('<filename.csv>') on the returned dataframe.
Found a bug? Create an issue!
Contribute code by forking the repo and submit PR's
Requires bs4 to be installed pip install bs4.
Note: Naive implementation and will not work for exchanges except the norwegian OSE, OAX and Merkur (Norwegian Stock Exchange marketplaces)