Update documentation
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@ -26,6 +26,10 @@ hesitate to read the source code and understand the mechanism of this bot.
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- [Quick start](#quick-start)
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- [Quick start](#quick-start)
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- [Documentations](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md)
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- [Documentations](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md)
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- [Installation](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md)
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- [Installation](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md)
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- [Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)
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- [Strategy Optimization](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md)
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- [Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md)
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- [Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
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- [Support](#support)
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- [Support](#support)
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- [Help](#help--slack)
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- [Help](#help--slack)
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- [Bugs](#bugs--issues)
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- [Bugs](#bugs--issues)
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@ -114,4 +114,4 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
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## Next step
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## Next step
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Now you have a perfect strategy you probably want to backtesting it.
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Now you have a perfect strategy you probably want to backtesting it.
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Your next step is to learn [How to use ](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md).
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Your next step is to learn [How to use the Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md).
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