Legit Indicators

Publish Python 🐍 distributions 📦 to PyPI and TestPyPI

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 links

Data verified by PyPI on Apr 2, 2025
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for aticio from gravatar.com aticio

Credits

Author: Özgür Atıcı

GitHub Statistics

Data verified by PyPI on Apr 2, 2025
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Provides Extra

dev

Classifiers

Report project as malware

Metadata

Project links

Data verified by PyPI on Apr 2, 2025
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for aticio from gravatar.com aticio

Credits

Author: Özgür Atıcı

GitHub Statistics

Data verified by PyPI on Apr 2, 2025
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Provides Extra

dev

Classifiers

Report project as malware

Release files for legitindicators 0.0.76

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for legitindicators 0.0.76
File Size Uploaded
legitindicators-0.0.76.tar.gz 12.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for legitindicators 0.0.76
File Interpreter ABI Platform
legitindicators-0.0.76-py3-none-any.whl 9.2 kB Python 3 none any Details

Total release size: 21.3 kB

Release files / legitindicators-0.0.76.tar.gz

Download URL legitindicators-0.0.76.tar.gz
Size 12.1 kB
Tags Source
SHA-256 checksum
How to use checksums 		d6155706b1b7754217c930d81c5b5f8c31cb4a7145c507d7257dd84974052135
BLAKE2b-256 checksum
How to use checksums 		0bcea7396973b1e7ff9e4f047130152cce9a694294bf586dfaf9305972d66eeb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 2, 2025.

Transparency log
Identity
Publishing platform
GitHub Actions
Publishing repository
github.com/aticio/legitindicators
Publishing commit
github.com/aticio/legitindicators/tree/254f1f561c8ce10681db9ab8140e80304092f3e5
Workflow
Publishing configuration
github.com/aticio/legitindicators/blob/254f1f561c8ce10681db9ab8140e80304092f3e5/.github/workflows/publish-to-pypi.yml
Publishing logs
github.com/aticio/legitindicators/actions/runs/14222247766/attempts/1
Artifact
Subject
legitindicators-0.0.76.tar.gz
SHA-256 checksum
d6155706b1b7754217c930d81c5b5f8c31cb4a7145c507d7257dd84974052135 Verifying attestations

Release files / legitindicators-0.0.76-py3-none-any.whl

Download URL legitindicators-0.0.76-py3-none-any.whl
Size 9.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		0747ecf1c8cf92cd1f7eb7a4b009aca2e50cac9068133f9b208d33ed34a0d97e
BLAKE2b-256 checksum
How to use checksums 		745a54891fe6c69d28743a8974ebb48d25eb22a64a729c1205fad01fea4a9a3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 2, 2025.

Transparency log
Identity
Publishing platform
GitHub Actions
Publishing repository
github.com/aticio/legitindicators
Publishing commit
github.com/aticio/legitindicators/tree/254f1f561c8ce10681db9ab8140e80304092f3e5
Workflow
Publishing configuration
github.com/aticio/legitindicators/blob/254f1f561c8ce10681db9ab8140e80304092f3e5/.github/workflows/publish-to-pypi.yml
Publishing logs
github.com/aticio/legitindicators/actions/runs/14222247766/attempts/1
Artifact
Subject
legitindicators-0.0.76-py3-none-any.whl
SHA-256 checksum
0747ecf1c8cf92cd1f7eb7a4b009aca2e50cac9068133f9b208d33ed34a0d97e Verifying attestations

Release history Release notifications | RSS feed

This release

0.0.76 This release

2 release files

0.0.75

2 release files

0.0.72

2 release files

0.0.71

2 release files

0.0.70

2 release files

0.0.66

2 release files

0.0.65

2 release files

0.0.64

2 release files

0.0.63

2 release files

0.0.62

2 release files

0.0.61

2 release files

0.0.60

2 release files

0.0.59

2 release files

0.0.58

2 release files

0.0.57

2 release files

0.0.56

2 release files

0.0.55

2 release files

0.0.54

2 release files

0.0.53

2 release files

0.0.52

2 release files

0.0.51

2 release files

0.0.50

2 release files

0.0.49

2 release files

0.0.48

2 release files

0.0.47

2 release files

0.0.46

2 release files

0.0.45

2 release files

0.0.44

2 release files

0.0.43

2 release files

0.0.42

2 release files

0.0.41

2 release files

0.0.40

2 release files

0.0.39

2 release files

0.0.38

2 release files

0.0.37

2 release files

0.0.36

2 release files

0.0.35

2 release files

0.0.34

2 release files

0.0.33

2 release files

0.0.32

2 release files

0.0.31

2 release files

0.0.30

2 release files

0.0.29

2 release files

0.0.28

2 release files

0.0.27

2 release files

0.0.26

2 release files

0.0.25

2 release files

0.0.23

2 release files

0.0.20

2 release files

0.0.19

2 release files

0.0.18

2 release files

0.0.17

2 release files

0.0.16

2 release files

0.0.15

2 release files

0.0.14

2 release files

0.0.13

2 release files

0.0.12

2 release files

0.0.11

2 release files

0.0.10

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page