Open Source Go Algorithmic Trading Platforms

Go Algorithmic Trading Platforms

View 173 business solutions

Browse free open source Go Algorithmic Trading Platforms and projects below. Use the toggles on the left to filter open source Go Algorithmic Trading Platforms by OS, license, language, programming language, and project status.

  • Process Street | Compliance Operations Platform Icon
    Process Street | Compliance Operations Platform

    Systemize execution. Prove compliance.

    Bring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
    Learn More
  • Ango Hub | All-in-one data labeling platform Icon
    Ango Hub | All-in-one data labeling platform

    For AI teams and Computer Vision team in organizations of all size

    AI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
    Learn More
  • 1
    GoCryptoTrader

    GoCryptoTrader

    Trading bot and framework supporting multiple exchanges

    GoCryptoTrader is a full framework / bot for cryptocurrency trading, written in Go (Golang). It supports multiple exchanges, real-time and historic data, backtesting, handling order books, portfolio management, scripting, and many exchange integration features. It is a trading engine that can be run by users to automate strategies across many exchanges. Licensed under MIT. Support for all exchange fiat and digital currencies, with the ability to individually toggle them on/off. Customisation of HTTP client features including setting a proxy, user agent and adjusting transport settings. Forex currency converter packages (CurrencyConverterAPI, CurrencyLayer, Exchange Rates, Fixer.io, OpenExchangeRates, Exchange Rate Host).
    Downloads: 1 This Week
    Last Update:
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  • 2
    MarketStore

    MarketStore

    DataFrame server for financial timeseries data

    MarketStore is a database server optimized for financial time-series data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, and granularity down to tick-level for the all US equities or the exploding cryptocurrencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem. The batteries are included with the basic install, you can start pulling crypto price data from GDAX and writing it to the db with a simple plugin configuration. MarketStore enables you to query DataFrame content over the network at as low latency as your local HDF5 files from disk.
    Downloads: 0 This Week
    Last Update:
    See Project
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