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Merge pull request #296 from gcarq/update_documentation

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Update documentation
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Gérald LONLAS 2018-01-03 00:07:41 -08:00 committed by GitHub
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README.md
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@ -26,6 +26,10 @@ hesitate to read the source code and understand the mechanism of this bot.
- [Quick start](#quick-start) - [Quick start](#quick-start)
- [Documentations](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md) - [Documentations](https://github.com/gcarq/freqtrade/blob/develop/docs/index.md)
- [Installation](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md) - [Installation](https://github.com/gcarq/freqtrade/blob/develop/docs/installation.md)
- [Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)
- [Strategy Optimization](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md)
- [Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md)
- [Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
- [Support](#support) - [Support](#support)
- [Help](#help--slack) - [Help](#help--slack)
- [Bugs](#bugs--issues) - [Bugs](#bugs--issues)

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docs/bot-optimization.md
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@ -114,4 +114,4 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
## Next step ## Next step
Now you have a perfect strategy you probably want to backtesting it. Now you have a perfect strategy you probably want to backtesting it.
Your next step is to learn [How to use ](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md). Your next step is to learn [How to use the Backtesting](https://github.com/gcarq/freqtrade/blob/develop/docs/backtesting.md).