From db34cb1b75bb64f61bba371e43661dd8f67937b8 Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 8 Jan 2020 19:41:34 +0100 Subject: [PATCH] Do some adjustments to the wording of the index.md section --- docs/index.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/index.md b/docs/index.md index 5871479d9..3bde10707 100644 --- a/docs/index.md +++ b/docs/index.md @@ -22,13 +22,13 @@ Freqtrade is a crypto-currency algorithmic trading software develop in python (3 ## Features - 1. Download markets datas : download historical datas of the exchange and the markets your may want to trade with. - 2. Select markets : create your list or use an automatic one based on top traded volume (not available during backtesting). You can blacklist markets you don't want to trade. - 3. Backtest : Test your strategy on past datas (based on [ohcl](https://en.wikipedia.org/wiki/Open-high-low-close_chart) candles). - 4. Optimize : Find the best parameters for your strategy (use machining learning). You can optimize buy, sell, take profit and stop-loss. - 5. Run : Run the bot on exchange without playing money (dry-run) or with money (live). - 6. Run using edge (optionnal module) : the concept is to find the best historical [trade expectancy](https://www.freqtrade.io/en/latest/edge/#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) - 7. Control/Monitor/Analyse : use Telegram or a REST API (start/stop the bot, profit/loss, daily summary, current open trades results...). Futher analysis can be done as trades are saved (SQLite database) + 1. Download market data: Download historical data of the exchange and the markets your may want to trade with. + 2. Select markets: Create your list or use an automatic one based on top traded volume (not available during backtesting). You can blacklist markets you don't want to trade. + 3. Backtest: Test your strategy on past data (based on [ohlcv](https://en.wikipedia.org/wiki/Open-high-low-close_chart) candles). + 4. Optimize: Find the best parameters for your strategy using machining learning. You can optimize buy, sell, take profit (ROI) and stop-loss. + 5. Run: Run the bot on exchange with simulated money (dry-run) or with real money (live). + 6. Run using edge (optional module): The concept is to find the best historical [trade expectancy](https://www.freqtrade.io/en/latest/edge/#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). + 7. Control/Monitor/Analyse: Use Telegram or a REST API (start/stop the bot, profit/loss, daily summary, current open trades results...). Futher analysis can be done as trades are saved (SQLite database). ## Requirements