Skip to main content

pyalloq-features

pyalloq-features provides feature engineering transformers, TA-Lib indicator integration, scaling utilities, and feature pipeline orchestration for PyAlloq.

Key Modules

  • BaseFeatureTransformer: Abstract base class for all feature transformation modules operating on MarketData.
  • TechnicalIndicator: Applies TA-Lib technical indicators (e.g., SMA, RSI, MACD, ATR, BBANDS) across asset columns of a 2D DataFrame and appends resulting features to MarketData.features.
  • FeaturePipeline: Sequential feature pipeline builder for chaining feature transformers.
  • scalers: Cross-sectional and time-series feature normalization and standardization utilities.

Quick Example

from pyalloq_features.transformers.technical import TechnicalIndicator
from pyalloq_features.core.pipeline import FeaturePipeline

# Define feature engineering pipeline
pipeline = FeaturePipeline()
pipeline.add(TechnicalIndicator(indicator="RSI", timeperiod=14))
pipeline.add(TechnicalIndicator(indicator="SMA", timeperiod=50))

# Apply transformations directly to MarketData
# updated_data = pipeline.run(market_data)

Metadata

Release files for pyalloq-features 0.1.19

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

Built distribution (wheel)

Table of built distributions (wheels) for pyalloq-features 0.1.19
File Interpreter ABI Platform
pyalloq_features-0.1.19-py3-none-any.whl Python 3 none any Details

Release files / pyalloq_features-0.1.19-py3-none-any.whl

Download URL pyalloq_features-0.1.19-py3-none-any.whl
Size 6.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a036b7c81d97308b5505e813fcf4b822f8ef0b8a639e5a19365211d13f573643
BLAKE2b-256 checksum
How to use checksums
060b4da697d7d260bf7980e74ace80991f9b25857df7d028f652449fd1967933
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.13.5 {"installer":{"name":"uv","version":"0.13.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for pyalloq-features 0.1.19

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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