Open Source Go Crypto Trading Bots

A fast cryptocurrency trading bot framework implemented in Go. Ninjabot permits users to create and test custom strategies for spot markets. Ninjabot is an open-source platform that provides tools to implement custom strategies and backtests for trading cryptocurrencies in Go. Ninjabot CLI provides utilities commands to support backtesting and bot development. Currently, we only support Binance exchange. If you want to include support for other exchanges, you need to implement a new struct that implements the interface Exchange. You can check some examples in the exchange directory. You can create bots in telegram accessing BotFather. Telegram bot requires that your bot is running to control and get information about your account.

Kelp is a free and open-source trading bot for the Stellar universal marketplace and for centralized exchanges such as Binance, Kraken, CoinbasePro, etc. Kelp includes several configurable trading strategies and exchange integrations. You can define your own parameters or use the sample configurations to quickly get up and running with a trading bot in a matter of minutes. The modular design allows you to easily create new trading strategies, exchange integrations, and assets to give you full control over the bot. Whenever you trade on Stellar, you are trading with volatile assets, in volatile markets, and you risk losing money. Kelp is experimental software that contains bugs. Use Kelp at your own risk. There is no guarantee you'll make a profit from using our bots or strategies. In fact, if you set bad parameters or market conditions to change, Kelp might help you lose money very fast. So be smart and go slow.

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.