Home

Stock documentation

Installation

The quickest way is to use pip, which will install all the dependencies (basically pandas and ta-lib wrappers):

pip install technify

If you intend to use Quandl often, getting a API key is advised to skip the 50 calls/day limit.
Technify will try to read that key from the user's .bashrc:

export QUANDL_TOKEN="your_API_key"

Loading data

Technify accepts any json structure and does it best to convert it to a Pandas dataset:

data = [{'date': datetime.datetime(2018, 2, 19, 0, 0), 'o': 90.0, 'h': 90.800003, 'l': 89.480003, 
         'c': 90.360001, 'adjc': 90.360001, 'v': 230265, 'ticker': 'HO.PA'}]

thales = Stock(data)

which prints

>> Stock - available cols:['adjc', 'c', 'date', 'h', 'l', 'o', 'ticker', 'v']

It is also possible to retrieve the data directly from Quandl given its ticker:

from technify import Stock

bitusd = Stock.fromQuandl("BCHARTS/KRAKENUSD")

Once the data is loaded, a console message shows the available columns:

>> BCHARTS/KRAKENUSD - available cols:['Open', 'High', 'Low', 'Close', 'Volume (BTC)', 'Volume (Currency)', 'Weighted Price']

All the data is stored inside a inner Pandas dataframe which can be access just by doing:

print (bitusd.data)

Adding technical indicators

Technify relies in the ta-lib library so the algorithms provided are the ones described in their repository documentation

Overlap

The overlap methods are intended to be plotted on top of the ohlcv data.

from technify import Overlap

The default output column name can be overriden by means of the saveas list parameter:

msft = Stock.fromQuandl("EOD/MSFT").append(ov.ema, "Open", timeperiod=40)   # stores the result as 'ema'
msft = Stock.fromQuandl("EOD/MSFT").append(ov.bbands, saveas=["low", "medium", "high"])  # custom Bollinger bands

The following list describes the function name of the Overlap module:

Function Name	Description	Default output colums
bbands	Bollinger Bands	bbands_lb, bbands_mb, bbands_ub
dema	Double Exponential Moving Average	dema
ema	Exponential Moving Average	ema
trendline	Hilbert Transform - Instantaneous Trendline	trendline
kama	Kaufman Adaptive Moving Average	kama
ma	Moving average	ma
mama	MESA Adaptive Moving Average	mama, fama
mavp	Moving average with variable period	mavp
midpoint	MidPoint over period	midpoint
midprice	Midpoint Price over period	midprice
sar	Parabolic SAR	sar
sarext	Parabolic SAR - Extended	sarext
sma	Simple Moving Average	sma
t3	Triple Exponential Moving Average (T3)	t3
tema	Triple Exponential Moving Average	tema
trima	Triangular Moving Average	trima
wma	Weighted Moving Average	wma