add reference to strategy repository

fix markdown to have markdownlint not complain that much

docs/bot-optimization.md

@@ -1,8 +1,10 @@
 # Bot Optimization
+
 This page explains where to customize your strategies, and add new
 indicators.
 
 ## Table of Contents
+
 - [Install a custom strategy file](#install-a-custom-strategy-file)
 - [Customize your strategy](#change-your-strategy)
 - [Add more Indicator](#add-more-indicator)
@@ -11,10 +13,12 @@ indicators.
 Since the version `0.16.0` the bot allows using custom strategy file.
 
 ## Install a custom strategy file
+
 This is very simple. Copy paste your strategy file into the folder
 `user_data/strategies`.
 
 Let assume you have a class called `AwesomeStrategy` in the file `awesome-strategy.py`:
+
 1. Move your file into `user_data/strategies` (you should have `user_data/strategies/awesome-strategy.py`
 2. Start the bot with the param `--strategy AwesomeStrategy` (the parameter is the class name)
 
@@ -23,12 +27,14 @@ python3 ./freqtrade/main.py --strategy AwesomeStrategy
 ```
 
 ## Change your strategy
+
 The bot includes a default strategy file. However, we recommend you to
 use your own file to not have to lose your parameters every time the default
 strategy file will be updated on Github. Put your custom strategy file
 into the folder `user_data/strategies`.
 
 A strategy file contains all the information needed to build a good strategy:
+
 - Buy strategy rules
 - Sell strategy rules
 - Minimal ROI recommended
@@ -43,6 +49,7 @@ python3 ./freqtrade/main.py --strategy AwesomeStrategy
 ```
 
 ### Specify custom strategy location
+
 If you want to use a strategy from a different folder you can pass `--strategy-path`
 
 ```bash
@@ -53,10 +60,12 @@ python3 ./freqtrade/main.py --strategy AwesomeStrategy --strategy-path /some/fol
 file as reference.**
 
 ### Buy strategy
+
 Edit the method `populate_buy_trend()` into your strategy file to
 update your buy strategy.
 
 Sample from `user_data/strategies/test_strategy.py`:
+
 ```python
 def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
     """
@@ -76,10 +85,11 @@ def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
 ```
 
 ### Sell strategy
-Edit the method `populate_sell_trend()` into your strategy file to 
-update your sell strategy.
+
+Edit the method `populate_sell_trend()` into your strategy file to update your sell strategy.
 
 Sample from `user_data/strategies/test_strategy.py`:
+
 ```python
 def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
     """
@@ -98,11 +108,13 @@ def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
 ```
 
 ## Add more Indicator
+
 As you have seen, buy and sell strategies need indicators. You can add
 more indicators by extending the list contained in
 the method `populate_indicators()` from your strategy file.
 
 Sample:
+
 ```python
 def populate_indicators(dataframe: DataFrame) -> DataFrame:
     """
@@ -137,16 +149,23 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
     return dataframe
 ```
 
-**Want more indicators example?**  
+### Want more indicator examples
+
 Look into the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py).
 Then uncomment indicators you need.
 
-
 ### Where is the default strategy?
+
 The default buy strategy is located in the file
 [freqtrade/default_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/freqtrade/strategy/default_strategy.py).
 
+### Further strategy ideas
+
+To get additional Ideas for strategies, head over to our [strategy repository](https://github.com/freqtrade/freqtrade-strategies). Feel free to use them as they are - but results will depend on the current market situation, pairs used etc. - therefore please backtest the strategy for your exchange/desired pairs first, evaluate carefully, use at your own risk.
+Feel free to use any of them as inspiration for your own strategies.
+We're happy to accept Pull Requests containing new Strategies to that repo.
 
 ## Next step
+
 Now you have a perfect strategy you probably want to backtesting it.
 Your next step is to learn [How to use the Backtesting](https://github.com/freqtrade/freqtrade/blob/develop/docs/backtesting.md).