Displaying 1 to 4 from 4 results

gekko - A bitcoin trading bot written in node - https://gekko.wizb.it/

  •    Javascript

The most valuable commodity I know of is information.Gekko is a Bitcoin TA trading and backtesting platform that connects to popular Bitcoin exchanges. It is written in javascript and runs on nodejs.

Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.

  •    Javascript

Gekko Trading Bot. Repository of strategies which I found at Git and Google, orginal source is in README or .js file. Strategies was backtested, results are in backtest_database.csv file. I used ForksScraper and Gekko BacktestTool to create content of this repository.

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.