Displaying 1 to 8 from 8 results

ccxt - A JavaScript / Python / PHP cryptocurrency trading library with support for more than 100 bitcoin/altcoin exchanges

  •    Javascript

A JavaScript / Python / PHP library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs. The CCXT library is used to connect and trade with cryptocurrency / altcoin exchanges and payment processing services worldwide. It provides quick access to market data for storage, analysis, visualization, indicator development, algorithmic trading, strategy backtesting, bot programming, webshop integration and related software engineering.

crypto-algotrading - Algorithmic trading framework for cryptocurrencies.

  •    Python

Crypto AlgoTrading Framework is a repository with tools to build and run working trading bots, backtest strategies, assist on trading, define simple stop losses and trailing stop losses, etc. This framework work with data directly from Crypto exchanges API, from a DB or csv files. Can be used for data-driven and event-driven systems. Made exclusively for crypto markets for now and written in Python. In realtime, Trading Bot operates in real time, with live data from exchanges APIs. It doesn't need pre stored data or DB to work. In this mode, bot can trade real money, simulate or alert user when is time to buy or sell, based on entry and exit strategies defined by user. Can also simulate user's strategies and present the results in real time.

Gekko-BacktestTool - Batch backtest, import and strategy params optimalization for Gekko Trading Bot

  •    Perl

CLI tool that enhances the features of Gekko's Trading Bot. The tool performs a test with multiple pairs on a single run. Suppose you have a strategy that you want to test on more currency pairs. You enter all the pairs on which you want to test the strategy for the BacktestTool's configuration file. You start the application and everything happens automatically. You are just waiting for the results that appear on the screen. You will see how your strategy falls on other pairs, where it works the best, and where the worst. More detailed data is available in the .CSV file, which you can open in a spreadsheet or text editor. You can do the same with many strategies and CandleSize values. You can test all your strategies on eg BTC-USD pair and compare results, which will allow you to choose the best strategy you will use in live trade. The installation tutorial by bald123 can be found in the Wiki: Docker installation.

Gekko-Datasets - Gekko Trading Bot dataset dumps

  •    Perl

Ready to use Gekko trading bot SQLite dump files with history use to do backtests. Just copy downloaded file to the Gekko's history directory and you get for example: full history of Binance BTC pairs. The data is systematized in two ways: in order to improve Gekko's performance, full history data is divided into separate files sorted by exchange and currency pairs. Each database file contains all possible assets from a given exchange-currency. Second option: data for the last days (7, 14, 30, 60) have all possible currencies and assets from a given exchange in one db file.




devalpha-node - A stream-based approach to algorithmic trading and backtesting in Node.js

  •    TypeScript

DevAlpha is a Javascript framework for creating and running your own algorithmic trading systems. It is built using TypeScript, weighs in at a less than 1500 lines of code, and is speedy as hell. The internal architecture primarily consists of one big stream and a bunch of consumers. It is implemented using the excellent Highland streams library, and also makes use of some helper functions from Redux.