QuestDB is a high performance, open-source, time-series database

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

✨ Download historical and real-time price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨

C++ interfaces used to communicate with Roq's market gateways.

TickDB: AI-native real time stock API and market data API for US stocks, HK stocks, A-shares, forex, crypto, indices and commodities. Skill, CLI, MCP, REST API and WebSocket. AI 原生实时股票 API 与金融行情数据 API，支持美股、港股、A 股、外汇、加密货币、指数和大宗商品。

duka - Dukascopy historical data downloader

Databento Binary Encoding (DBN) - Fast message encoding and storage format for market data

dune snippets is a collection of sql queries for duneanalytics.com / Google BigQuery

The official Rust client library for Databento

The official C++ client library for Databento

Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs

Python API for accessing Lake high frequency tick trades & order book data

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Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning

Python library for downloading and processing Dukascopy historical tick data (Forex, crypto, metals). Supports resume-capable downloads, automatic gap detection, proxy rotation, and efficient pandas integration for backtesting and quantitative analysis.

🔌 Aggregate high frequency tick data from WebSockets

Generate candlesticks from your tick data in realtime.

Effortlessly download, convert, and export Dukascopy tick data. This package seamlessly transforms proprietary Bi5 tick data into standardized CSV files, providing OHLCV (Open, High, Low, Close, Volume) data resampled to your preferred timeframe resolution. Streamline your data processing with a lightweight, reliable tool.

In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Network is used as an example of potential solution for such problem.

C++ tools and utilities for algorithmic trading.