Showing 21 open source projects for "trading"

View related business solutions
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Start Free
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • 1
    ta4j

    ta4j

    A Java library for technical analysis

    ...Then we have to build our trading strategy. It is made of two trading rules, one for entry, the other for exit. Ta4j comes with a set of basic trading rules/strategies which can be combined using boolean operators. Trading strategies can be easily compared according to a set of analysis criteria. Ta4j can also be used for live trading with more complicated strategies.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 2
    Zipline Reloaded

    Zipline Reloaded

    Zipline, a Pythonic Algorithmic Trading Library

    Zipline Reloaded is a maintained Python library for event-driven backtesting of algorithmic trading strategies. It continues the original Zipline project after Quantopian ended operations. Developers write trading algorithms while the engine simulates orders, market events, portfolio changes, and strategy performance over historical data. Common statistics such as moving averages and linear regression are available within algorithm workflows.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    Sov.ai

    Sov.ai

    A curated list of practical financial machine learning tools and apps

    Financial Machine Learning is a curated directory of practical tools, repositories, datasets, papers, and educational resources for quantitative finance. It organizes material across trading, forecasting, portfolio construction, risk, alternative data, and financial machine learning techniques. Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. ...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 4
    easyquant

    easyquant

    Stock quantification framework to support market acquisition

    Trading support includes several Chinese broker clients and Xueqiu simulated portfolios. Strategies inherit from a common template and receive events containing current market information and account access. The repository includes example strategies, custom engines, account configuration files, logging, timers, and testing material.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
    Start Free
  • 5
    Node Binance API

    Node Binance API

    Node Binance API is an asynchronous node.js library

    This project is designed to help you make your own projects that interact with the Binance API. You can stream candlestick chart data, market depth, or use other advanced features such as setting stop losses and iceberg orders. This project seeks to have complete API coverage including WebSockets.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 6
    CCXT

    CCXT

    JavaScript/TypeScript/Python/C#/PHP cryptocurrency trading API

    The ccxt library is a collection of available crypto exchanges or exchange classes. Each class implements the public and private API for a particular crypto exchange. All exchanges are derived from the base Exchange class and share a set of common methods. To access a particular exchange from ccxt library you need to create an instance of corresponding exchange class. Supported exchanges are updated frequently and new exchanges are added regularly.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 7
    Librelancer

    Librelancer

    A re-implementation of Freelancer

    Librelancer is an open-source reimplementation of the engine behind Freelancer, the iconic 2003 space trading and combat simulation game by Microsoft. Written in C# and powered by OpenGL and modern game development practices, Librelancer faithfully replicates the original gameplay while providing a flexible codebase for modding, analysis, and future enhancements. It supports original assets and is designed to be both a preservation project and a foundation for new space simulation games inspired by Freelancer’s legacy.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 8

    mt-atcl

    ATcl is "battery included" Tcl/Tk and MT-5 integration library

    Allows to use tcl scripts from MetaQuotes MT5 trading terminal. All Tcl/Tk features are supported.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 9
    LombokCharts

    LombokCharts

    Canvas and SVG renderers, LTTB decimation,real-time streaming layer

    LombokCharts A zero-dependency charting library for the browser. It pairs a small grammar-of-graphics core (Data → Scale → Mark) with pluggable Canvas and SVG renderers, LTTB decimation, and a real-time streaming layer — so the same API draws a five-point bar chart or a five-million-point line without changing shape.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

    Easily migrate from Snowflake, Redshift, or Databricks with free tools.

    BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
    Start Free
  • 10

    pytrade

    Python functions for trading

    Python functions for trading. Fonctions Python pour le trading.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    LMAX Disruptor

    LMAX Disruptor

    High performance inter-thread messaging library

    LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 12
    Robin-Stocks API Library

    Robin-Stocks API Library

    This is a library to use with Robinhood Financial App

    This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or trading algorithm, and improve your programming skills. ...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 13
    quantitative

    quantitative

    Quantized transactions python3

    ...The README and associated lessons walk the user through implementing algorithms, likely covering data handling, backtesting, and maybe simple trading logic. As an open-source educational resource, it’s designed for Python users interested in automatic trading, algorithmic strategies, and financial data analysis.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    Zipline

    Zipline

    Zipline, a Pythonic algorithmic trading library

    Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    exchange-core java

    exchange-core java

    Ultra-fast matching engine written in Java based on LMAX Disruptor

    Exchange-core is an open source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. HFT optimized. Priority is a limit-order-move operation mean latency (currently ~0.5µs). Cancel operation takes ~0.7µs, placing new order ~1.0µs. Pipelined multi-core processing (based on LMAX Disruptor): each CPU core is responsible for certain processing stage, user accounts...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    MPMCQueue.h

    MPMCQueue.h

    A bounded multi-producer multi-consumer concurrent queue

    ...The implementation focuses on high-throughput concurrent access while avoiding conventional queue locking patterns. It has been used in production systems including game engines and low-latency trading infrastructure. Testing combines single-threaded correctness checks with multithreaded fuzz testing under heavy contention. The queue correctly manages object construction and destruction while coordinating concurrent producers and consumers. Its small header-only design makes it straightforward to embed in performance-sensitive C++ projects.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    backtrader

    backtrader

    Python Backtesting library for trading strategies

    backtrader is a Python framework for developing, backtesting, and running trading strategies. Its Cerebro engine coordinates strategies, data feeds, brokers, indicators, analyzers, and execution. Developers can combine multiple strategies, instruments, and timeframes while resampling or replaying market data. The framework includes a large indicator library, custom indicator support, analyzers, position sizing, commissions, and trading calendars.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 18
    easytrader

    easytrader

    Python toolkit for automating and integrating stock trading

    easytrader is a Python toolkit for automating and integrating quantitative stock trading workflows in the Chinese market. It can control supported desktop trading clients and also work with official MiniQMT interfaces. The project supports Xueqiu portfolio operations and can track simulated strategies from platforms such as JoinQuant and RiceQuant. Remote operation mode lets trading functions be exposed outside the local client environment.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    easyquotation

    easyquotation

    Get free stock quotes in real time, supporting Sina

    ...Developers can request complete market snapshots or query specific Shanghai, Shenzhen, Beijing, and Hong Kong securities. Returned records include prices, bid and ask data, volume, turnover, highs, lows, and other trading fields when available. The library also includes Tencent Hong Kong daily K-line support and selected ETF information from Jisilu. Built-in stock-code data can be refreshed as listings change. Its small API makes it useful as a market-data component in scripts, dashboards, and quantitative trading systems.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    QuantComponents

    QuantComponents

    Free Java components for Quantitative Finance and Algorithmic Trading

    An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime market data * Backtesting facility * Extensible SWT charting library
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    Tullibee
    Tullibee provides Java EE components that work with Interactive Brokers' financial-trading Java API (the IB API). Tullibee's current focus is a JCA 1.6 resource adapter built on top of a modified version of the IB API.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next