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README.md
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README.md
@ -16,7 +16,7 @@ and enter the telegram `token` and your `chat_id` in `config.json`
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Persistence is achieved through sqlite.
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#### Telegram RPC commands:
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### Telegram RPC commands:
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* /start: Starts the trader
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* /stop: Stops the trader
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* /status: Lists all open trades
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@ -24,7 +24,7 @@ Persistence is achieved through sqlite.
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* /forcesell <trade_id>: Instantly sells the given trade (Ignoring `minimum_roi`).
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* /performance: Show performance of each finished trade grouped by pair
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#### Config
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### Config
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`minimal_roi` is a JSON object where the key is a duration
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in minutes and the value is the minimum ROI in percent.
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See the example below:
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@ -53,18 +53,18 @@ end up paying more then would probably have been necessary.
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The other values should be self-explanatory,
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if not feel free to raise a github issue.
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#### Prerequisites
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### Prerequisites
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* python3.6
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* sqlite
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* [TA-lib](https://github.com/mrjbq7/ta-lib#dependencies) binaries
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#### Install
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### Install
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##### Arch Linux
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#### Arch Linux
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Use your favorite AUR helper and install `python-freqtrade-git`.
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##### Manually
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#### Manually
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`master` branch contains the latest stable release.
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@ -85,7 +85,7 @@ There is also an [article](https://www.sales4k.com/blockchain/high-frequency-tra
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\* *Note:* that article was written for an earlier version, so it may be outdated
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##### Docker
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#### Docker
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Building the image:
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@ -133,7 +133,7 @@ $ docker start freqtrade
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You do not need to rebuild the image for configuration
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changes, it will suffice to edit `config.json` and restart the container.
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#### Execute tests
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### Execute tests
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```
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$ pytest
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@ -144,7 +144,7 @@ This will by default skip the slow running backtest set. To run backtest set:
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$ BACKTEST=true pytest -s freqtrade/tests/test_backtesting.py
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```
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#### Contributing
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### Contributing
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Feel like our bot is missing a feature? We welcome your pull requests! Few pointers for contributions:
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