NITRO-AI/NitroFE
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
This tool helps financial analysts and traders consistently calculate dynamic indicators like moving averages and oscillators for real-time market data. You provide raw price or volume data, and it outputs continuously updated technical analysis metrics. It's designed for quantitative analysts or anyone who needs to deploy time-series based financial indicators into live trading systems or analytical platforms.
108 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to generate a continuous stream of financial indicators or complex time-series features for real-time trading models or analytics without manually managing historical data.
Not ideal if your primary need is for static, batch-processed financial analysis or if you are not working with streaming or continuously updated time-series data.
Stars
108
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
May 04, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NITRO-AI/NitroFE"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
alteryx/featuretools
An open source python library for automated feature engineering
cod3licious/autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
abess-team/abess
Fast Best-Subset Selection Library
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.