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Mention custom strategy in features

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Matthias 2020-01-09 06:37:18 +01:00
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@ -28,6 +28,7 @@ Freqtrade is a crypto-currency algorithmic trading software developed in python
- Run: Run the bot on exchange with simulated money (Dry-Run mode) or with real money (Live-Trade mode). - Run: Run the bot on exchange with simulated money (Dry-Run mode) or with real money (Live-Trade mode).
- 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. - 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.
- Download market data: Download historical data of the exchange and the markets your may want to trade with. The historical data can be based on [OHLCV](https://en.wikipedia.org/wiki/Open-high-low-close_chart) candles or be trade ticks (for exchanges that support this). - Download market data: Download historical data of the exchange and the markets your may want to trade with. The historical data can be based on [OHLCV](https://en.wikipedia.org/wiki/Open-high-low-close_chart) candles or be trade ticks (for exchanges that support this).
- 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).
- Backtest: Test your strategy on downloaded historical data. - 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 machining learning methods. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy.
- 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. - 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.