30 open-source projects similar to econdb/inquisitor, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Inquisitor alternative.
RQAlpha is a Python-native quantitative trading backtesting framework and live trading execution system. It provides an event-driven engine for simulating trading strategies against historical market data, with realistic transaction costs, slippage models, and corporate action handling. The platform supports multi-asset class trading including stocks, futures, options, and REITs, with separate sub-accounts for different asset types and configurable margin requirements. The framework distinguishes itself through a plugin-based extensible architecture that allows users to swap out core componen
pybroker is a Python algorithmic trading framework and quantitative technical analysis library designed for developing, testing, and optimizing trading strategies using historical market data. It functions as a trading strategy backtester and a financial performance evaluator, providing a structured environment to simulate trading rules and analyze their statistical reliability. The framework distinguishes itself through a market data integration layer that handles the fetching and caching of historical price data from external providers. It incorporates an event-driven backtesting engine and
Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing automated trading rules and simulating investment strategies using historical financial time-series data. The system functions as a quantitative analysis tool, combining a simulation engine for testing trading rules with a financial data visualizer that generates price action charts. It allows for the calculation of technical indicators and the evaluation of portfolio performance through risk-adjusted returns. The platform covers live trading integration via brokerage APIs and
Quantaxis is a quantitative trading framework designed for building, backtesting, and executing automated strategies across global equities, futures, and cryptocurrencies. It integrates an event-driven backtesting engine, a multi-market execution gateway for order routing, and a quantitative data pipeline for ingesting and storing multi-asset market data. The system features a Rust-accelerated financial library that utilizes Apache Arrow for high-performance technical indicator calculation and zero-copy data processing. It provides a containerized infrastructure model designed for orchestrati
Financial Data Extraction from Investing.com with Python
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
This project is a Python library designed for the programmatic retrieval and analysis of diverse financial datasets. It functions as a comprehensive toolkit for quantitative research, providing a unified interface to fetch historical and real-time market data across asset classes including equities, futures, bonds, cryptocurrencies, and foreign exchange. By abstracting complex network requests into simple, parameter-driven functions, it enables users to integrate financial data into research workflows and automated trading systems. The library distinguishes itself through its scraper-based ag
Cryptocurrency exchange API client for Julia
Cryptocurrency Exchange Websocket Data Feed Handler
Official DexPaprika Python SDK: Pythonic access to cross-chain DEX data, prices, and pools with type hints and caching.
A python wrapper around the https://coinmarketcap.com API.
This library provides convenient way to use Coinpaprika.com API in Python.
Javascript SDK for trading on cryptocurrency exchanges like FTX, OKX, Bybit, and more. Supports API data feeds and WebSocket. Built by the Compendium Team.
Python API for accessing Lake high frequency tick trades & order book data
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Obtain pre market and after hours stock prices for a given symbol
High level API for access to and analysis of financial data.
An open-source alternative to Yahoo Finance's market data APIs with higher reliability.
Fetch stock quote data from Yahoo Finance
Python client for Alpaca's trade API