dceoy/tifft repository overview
tifft
Technical Indicators for Financial Trading
Installation
$ pip install -U tifft
Docker image
The image is available at Docker Hub.
$ docker image pull dceoy/tifft
Usage
Calculator Classes for Python
import numpy as np
from tifft.bollingerbands import BollingerBandsCalculator
from tifft.macd import MacdCalculator
from tifft.rsi import RsiCalculator
prices = np.random.randn(100) * 100
# MACD
macdc = MacdCalculator(fast_ema_span=12, slow_ema_span=26, macd_ema_span=9)
df_macd = macdc.calculate(values=prices)
print(df_macd)
# Bollinger Bands
bbc = BollingerBandsCalculator(window_size=20, sd_multiplier=2)
df_bb = bbc.calculate(values=prices)
print(df_bb)
# RSI
rsic = RsiCalculator(window_size=14, upper_line=70, lower_line=30)
df_rsi = rsic.calculate(values=prices)
print(df_rsi)
Command-line Tools
Fetch the historical data of DJIA, SP500, and NASDAQ100 from FRED (St. Louis Fed).
$ tifft history DJIA SP500 NASDAQ100
Fetch the data of SP500 from FRED and calculate the MACD.
$ tifft macd SP500
Fetch the data of SP500 from FRED and calculate the Bollinger Bands.
$ tifft bb SP500
Fetch the data of SP500 from FRED and calculate the RSI.
$ tifft rsi SP500
Run tifft --help for information.
Tag summary
Content type
Image
Digest
sha256:de372763f…
Size
96.3 MB
Last updated
about 4 years ago
docker pull dceoy/tifft