Registry / analytics / centaur-technical-indicators

centaur-technical-indicators

library1.2.2pypypiunverified

A collection of 60+ fully configurable technical indicators for financial analysis, powered by Rust and Python. Part of the Centaur Capital ecosystem. Current version: 1.2.2, release cadence: monthly.

analytics

pip install centaur-technical-indicators

github ↗homepage ↗

INSTALL

IMPORT

SIG · CENTAUR-TECHNICAL-

centaur-technical-indicators

analyticspythonv1.2.2

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

IndicatorFactory

✓ from centaur_technical_indicators import IndicatorFactory

✗ from centaur_indicators import IndicatorFactory

Calculate MACD on a simple DataFrame.

import pandas as pd from centaur_indicators import IndicatorFactory df = pd.DataFrame({'close': [100, 102, 101, 105, 103]}) macd = IndicatorFactory.create('MACD', fast=12, slow=26, signal=9) result = macd.calculate(df) print(result)

Debug

Known issues

breakingIn version 1.2.0, the API changed from function-based to class-based. Code using `calculations.sma()` must be updated to use `IndicatorFactory.create('SMA', period=14).calculate(df)`.

fix

Replace function calls with IndicatorFactory.create and .calculate().

affects: >=1.2.0

gotchaThe library requires Python >=3.10 and Rust toolchain for installation from source. Pre-built wheels are available for Windows, macOS, and Linux.

fix

Use pre-built wheel via pip; if building from source, install Rust via rustup.

affects: all

gotchaDataFrames must have a 'close' column. Other column names (e.g., 'Close') will cause KeyError.

fix

Ensure column is lowercase and rename if needed: df.rename(columns={'Close': 'close'}, inplace=True)

affects: all

Upgrade

Version history

1.2.2latest on PyPI · released Apr 4, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

41 hits · last 30 days

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OpenAI (training)

Resources

githubhttps://github.com/chironmind/CentaurTechnicalIndicators-Python ↗

homepagehttps://github.com/chironmind/CentaurTechnicalIndicators-Python ↗