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1 repository by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)

Language: Jupyter Notebook
Tag: Backtesting
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1.UFund-Me / Qbot

Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

funds
machine-learning
pytrade
quantitative-finance
quantitative-trading
quantization
+11 more

Jupyter Notebook MIT19K total2.6K forks

+249 stars

from 18,525 · score 5.52

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before the first daily record that AwesomeRepos made for the repository. A longer window needs more of these daily records first. A repository younger than the window does not rank in it.

The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

Repositories enter the index from the starting dataset of the index, or by gaining stars faster than the published admission threshold, whatever their size. A repository stays in the index after it enters. Thus an archived repository can still rank.

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