ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

MCP server for ArcticDB

ArcticDB-backed time series cache with incremental updates — fetch once, upsert the gap.

Load & Query Stock Data Using OpenBB & ArcticDB

A conda-smithy repository for arcticdb.

QUANTARMY quantstack | One-click quantitative envoirment based in docker, debian, conda, jupyterlabs,zipline-reloaded and arcticdb

Python plugin to read ArcticDB frames from polars

A modern web-based and docker self-hostable explorer for ArcticDB with an intuitive interface to connect, browse, and visualize time-series data.

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Creacion y gestion de un Datalake basado en arcticdb y diferentes fuentes de datos.

End-to-end FX currency pair forecasting pipeline using PyCaret, ArcticDB, and Airflow — integrates real-time market data, macroeconomic features (BTC correlation), and automated ML for directional predictions.

Various notebooks for ArcticDB

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Quant Agent created on the basis of ArcticDB

Nous Ergon — centralized data collection: prices, macro, constituents, SEC filings, RAG ingestion via ArcticDB

LME Copper Backtesting System - No-code visual strategy builder with Bloomberg data, ArcticDB storage, and VectorBT backtesting

ArcticDB is a powerful tool for efficiently managing and analyzing time-series financial data. When combined with technical analysis techniques, it can streamline backtesting and algorithmic trading strategies. Below, I demonstrate advanced features like deduplication, metadata management, and multi-symbol data analysis for technical indicators.