Legit indicators to be used in trading strategies.
Project description
Legit Indicators
Collection of indicators that I used in my strategies.
List of indicators:
- Simple Moving Average
- Exponential Moving Average
- Average True Range
- Smoothed ATR - Super Smoother applied Average True Range
- Rolled Moving Average
- Atrlimit - Average True Range implementation with a limit for using as a volatility indicator
- Smoothed Atrlimit - Smoothed Average True Range implementation with a limit for using as a volatility indicator
- Roofing Filter - Python implementation of the Roofing Filter indicator created by John Ehlers
- Super Smoother - Python implementation of the Super Smoother indicator created by John Ehlers
- SZLADX - A low lagging upgrade of ADX indicator.
- True Range
- Decycler - Python implementation of Simple Decycler indicator created by John Ehlers
- Decycler Oscillator - Python implementation of Decycler Oscillator created by John Ehlers
- High Pass Filter
- Damiani Volatmeter
- Voss - Python implementation of Voss indicator created by John Ehlers
- Hurst Coefficient
- Kaufman Efficiency Ratio
- Even Better Sine Wave - Python implementation of Even Better Sine Wave indicator created by John Ehlers
- Cube Transform - Python implementation of Cube Transform created by John Ehlers
- Simple Harmonic Oscillator
- Smoothed Simple Harmonic Oscillator - Super Smoother applied Simple Harmonic Oscillator
- Kaufman Adaptive Moving Average
- Linear Regression Curve
- Linear Regression Slope
- TrendFlex - Python implementation of TrendFlex indicator created by John Ehlers
- Custom TrendFlex - Python implementation of TrendFlex indicator with customizable super smoother length, created by John Ehlers
- Automatic Gain Control - Python implementation of Automatic Gain Control created by John Ehlers
- Smoothed SSL - Super Smoother Applied SSL indicator
- Bollinger Bands %B
- Volume Heat - A custom volume indicator
- Double Super Smoother - Two Super Smoother indicators for checking line crosses
- EMA Trailing - A trailing stop implementation using Exponantial Moving Average
- Momentum Normalized - Normalized Momentum Indicator; Cube Transform applied
Installation
Run the following to install:
pip install legitindicators
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
legitindicators-0.0.71.tar.gz
(7.6 kB
view hashes)
Built Distribution
Close
Hashes for legitindicators-0.0.71-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 75e9134a85af152a1dd6100082b6ec954a597de9b43fb1c8a50cad900d483301 |
|
MD5 | 441b17a8773652c843eeb05a8dcfb8fb |
|
BLAKE2b-256 | 38cf0090cec6fdbb1e3eeae511e002f04edff0adb910347eb3901c3a6906c27f |