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gcarq 2017-11-01 18:36:22 +01:00
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@ -16,7 +16,7 @@ and enter the telegram `token` and your `chat_id` in `config.json`
Persistence is achieved through sqlite.
#### Telegram RPC commands:
### Telegram RPC commands:
* /start: Starts the trader
* /stop: Stops the trader
* /status: Lists all open trades
@ -24,7 +24,7 @@ Persistence is achieved through sqlite.
* /forcesell <trade_id>: Instantly sells the given trade (Ignoring `minimum_roi`).
* /performance: Show performance of each finished trade grouped by pair
#### Config
### Config
`minimal_roi` is a JSON object where the key is a duration
in minutes and the value is the minimum ROI in percent.
See the example below:
@ -53,18 +53,18 @@ end up paying more then would probably have been necessary.
The other values should be self-explanatory,
if not feel free to raise a github issue.
#### Prerequisites
### Prerequisites
* python3.6
* sqlite
* [TA-lib](https://github.com/mrjbq7/ta-lib#dependencies) binaries
#### Install
### Install
##### Arch Linux
#### Arch Linux
Use your favorite AUR helper and install `python-freqtrade-git`.
##### Manually
#### Manually
`master` branch contains the latest stable release.
@ -85,7 +85,7 @@ There is also an [article](https://www.sales4k.com/blockchain/high-frequency-tra
\* *Note:* that article was written for an earlier version, so it may be outdated
##### Docker
#### Docker
Building the image:
@ -133,7 +133,7 @@ $ docker start freqtrade
You do not need to rebuild the image for configuration
changes, it will suffice to edit `config.json` and restart the container.
#### Execute tests
### Execute tests
```
$ pytest
@ -144,7 +144,7 @@ This will by default skip the slow running backtest set. To run backtest set:
$ BACKTEST=true pytest -s freqtrade/tests/test_backtesting.py
```
#### Contributing
### Contributing
Feel like our bot is missing a feature? We welcome your pull requests! Few pointers for contributions: