regimetry
Unverified ML strategy on Multi by kjpou1. BotFinder score 18 out of 100.
Unsupervised regime detection for financial time series using embeddings and clustering.
Source: github
BotFinder analysis pending.
regimetry
regimetry Mapping latent regimes in financial time series. --- - regimetry - 📘 Overview - 🔍 What is a Regime? - 🧠 How It Works - 1. Data Ingestion - 2. Embedding Pipeline - 3. Clustering - 4. Visualization \& Interpretation - 🚀 Getting Started - 📘 Regime Detection Window Delay - 📚 Documentation - 📟 Command Line Usage - 🔹 Ingest Data - 🔹 Generate Embeddings - 🛠 Available CLI Arguments for embed - 🔹 Cluster Regimes - 🛠 Available CLI Arguments for cluster - 🔹 Analyze Regime Structure - 🔹 Analyze Full Pipeline (Embed + Cluster) - 🛠 Available CLI Arguments for analyze - 🧪 Example Dataset - 🛠️ Configuration Files - 📂 Example Config - ✅ Section: Configuration Files → Example Config - 🧠 Usage in CLI - 🖼️ Usage in Dash App - 🖥️ Interactive Dashboard - 🚀 Launch the App - 🧩 Features - 📂 Directory Structure - 📦 Example Config for Palette Preview - 🛠 Project Structure - 🧭 Orientation Going Forward - ✅ Status - 🔗 Related Projects - 📖 Further Reading - 📄 License - 👤 Author --- 📘 Overview regimetry is a modular, unsupervised regime detection engine for financial time series — originally developed as
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