alphalens
Unverified Other strategy on Indices by quantopian. BotFinder score 18 out of 100.
Performance analysis of predictive (alpha) stock factors
Source: github
BotFinder analysis pending.
alphalens
.. image:: https://media.quantopian.com/logos/opensource/alphalens-logo-03.png :align: center Alphalens ========= .. image:: https://github.com/quantopian/alphalens/workflows/CI/badge.svg :alt: GitHub Actions status :target: https://github.com/quantopian/alphalens/actions?query=workflow%3ACI+branch%3Amaster Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open source backtesting library, and Pyfolio which provides performance and risk analysis of financial portfolios. You can try Alphalens at Quantopian -- a free, community-centered, hosted platform for researching and testing alpha ideas. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. The main function of Alphalens is to surface the most relevant statistics and plots about an alpha factor, including: - Returns Analysis - Information Coefficient Analysis - Turnover Analysis - Grouped Analysis Getting started --------------- With a signal and pricing data creating a fact
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)