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To run this bot we recommend you a linux cloud instance with a minimum of:įor any questions not covered by the documentation or for further information about the bot, or to simply engage with like-minded individuals, we encourage you to join the Freqtrade discord server. Community tested ¶Įxchanges confirmed working by the community: Please make sure to read the exchange specific notes, as well as the trading with leverage documentation before diving in. Supported Futures Exchanges (experimental) ¶ Please read the exchange specific notes to learn about eventual, special configurations needed for each exchange. Analyse: Further analysis can be performed on either Backtesting data or Freqtrade trading history (SQL database), including automated standard plots, and methods to load the data into interactive environments.Control/Monitor: Use Telegram or a WebUI (start/stop the bot, show profit/loss, daily summary, current open trades results, etc.).The sizing of the trade is based on a risk of a percentage of your capital. Run using Edge (optional module): The concept is to find the best historical trade expectancy by markets based on variation of the stop-loss and then allow/reject markets to trade.Run: Test your strategy with simulated money (Dry-Run mode) or deploy it with real money (Live-Trade mode).You can also explicitly blacklist markets you don't want to trade. Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting).Do not risk money which you are afraid to lose. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy. Freqtrade is a free and open source crypto trading bot written in Python. Optimize: Find the best parameters for your strategy using hyperoptimization which employs machining learning methods.Backtest: Test your strategy on downloaded historical data.Download market data: Download historical data of the exchange and the markets your may want to trade with.Example strategies to inspire you are available in the strategy repository. Develop your Strategy: Write your strategy in python, using pandas.
Open source risk engine setup code#
Do not hesitate to read the source code and understand the mechanisms of this bot, algorithms and techniques implemented in it. We strongly recommend you to have basic coding skills and Python knowledge. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.Īlways start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect.
Open source risk engine setup software#
This software is for educational purposes only. Supported Futures Exchanges (experimental)