74 lines
2.2 KiB
Markdown
74 lines
2.2 KiB
Markdown
# freqtrade
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[![Build Status](https://travis-ci.org/gcarq/freqtrade.svg?branch=develop)](https://travis-ci.org/gcarq/freqtrade)
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Simple High frequency trading bot for crypto currencies.
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Currently supported exchanges: bittrex, poloniex (partly implemented)
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This software is for educational purposes only.
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Don't risk money which you are afraid to lose.
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The command interface is accessible via Telegram (not required).
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Just register a new bot on https://telegram.me/BotFather
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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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* /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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* /profit: Lists cumulative profit from all finished trades
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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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`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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```
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"minimal_roi": {
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"2880": 0.005, # Sell after 48 hours if there is at least 0.5% profit
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"1440": 0.01, # Sell after 24 hours if there is at least 1% profit
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"720": 0.02, # Sell after 12 hours if there is at least 2% profit
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"360": 0.02, # Sell after 6 hours if there is at least 2% profit
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"0": 0.025 # Sell immediately if there is at least 2.5% profit
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},
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```
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`stoploss` is loss in percentage that should trigger a sale.
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For example value `-0.10` will cause immediate sell if the
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profit dips below -10% for a given trade. This parameter is optional.
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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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* 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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```
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$ cd freqtrade/
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# copy example config. Dont forget to insert your api keys
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$ cp config.json.example config.json
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$ python -m venv .env
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$ source .env/bin/activate
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$ pip install -r requirements.txt
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$ ./main.py
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```
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#### Execute tests
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```
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$ python -m unittest
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```
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#### Docker
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```
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$ cd freqtrade
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$ docker build -t freqtrade .
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$ docker run --rm -it freqtrade
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```
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