diff --git a/docs/index.md b/docs/index.md index 87b76b6ad..45871acb9 100644 --- a/docs/index.md +++ b/docs/index.md @@ -28,7 +28,7 @@ Freqtrade is a free and open source crypto trading bot written in Python. It is - Develop your Strategy: Write your strategy in python, using [pandas](https://pandas.pydata.org/). Example strategies to inspire you are available in the [strategy repository](https://github.com/freqtrade/freqtrade-strategies). - Download market data: Download historical data of the exchange and the markets your may want to trade with. - Backtest: Test your strategy on downloaded historical data. -- Optimize: Find the best parameters for your strategy using hyperoptimization which employs machining learning methods. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy. +- Optimize: Find the best parameters for your strategy using hyperoptimization which employs machine learning methods. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy. - Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting). You can also explicitly blacklist markets you don't want to trade. - Run: Test your strategy with simulated money (Dry-Run mode) or deploy it with real money (Live-Trade mode). - Run using Edge (optional module): The concept is to find the best historical [trade expectancy](edge.md#expectancy) by markets based on variation of the stop-loss and then allow/reject markets to trade. The sizing of the trade is based on a risk of a percentage of your capital.