Welcome to 8mile-render’s documentation!

8mile is a module to download financial data for machine learning purpose.

Quickstart

Install with pip3

First we need to install ta-lib which 8Mile use for technical indicator calculation.

wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
tar -xzf ta-lib-0.4.0-src.tar.gz
cd ta-lib/ && ./configure --prefix=/usr && make && make install

It could take a moment to compile. Then, install 8mile with:

pip3 install hmile

Install with conda

conda install -c conda-forge ta-lib
pip3 install hmile

First usage

We can begin with a simple usage of 8mile by downlading bitcoin data from yahoofinance.

from hmile.DataProvider import YahooDataProvider
from hmile.FillPolicy import FillPolicyAkima

PAIR = "BTCUSD"
START = "2022-01-01"
END = "2022-01-03"
INTERVAL = "hour"

dp = YahooDataProvider([PAIR], START, END, interval=INTERVAL)
# used to fill eventual missing dates (optionnal)
dp.fill_policy = FillPolicyAkima(INTERVAL)

data = dp.getData()

Here we use the Akima fill policy, it allows us to fill missing dates by interpolate between known values.

Lets continue

To continue with hmile :