freqtrade

Simple High frequency trading bot for crypto currencies. Currently supported exchanges: bittrex

This software is for educational purposes only. Don't risk money which you are afraid to lose.

The command interface is accessible via Telegram (not required). Just register a new bot on https://telegram.me/BotFather and enter the telegram token and your chat_id in config.json

Persistence is achieved through sqlite.

Telegram RPC commands:

• /start: Starts the trader
• /stop: Stops the trader
• /status: Lists all open trades
• /profit: Lists cumulative profit from all finished trades
• /forcesell <trade_id>: Instantly sells the given trade (Ignoring minimum_roi).
• /performance: Show performance of each finished trade grouped by pair

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:

"minimal_roi": {
    "2880": 0.005, # Sell after 48 hours if there is at least 0.5% profit
    "1440": 0.01,  # Sell after 24 hours if there is at least 1% profit
    "720":  0.02,  # Sell after 12 hours if there is at least 2% profit
    "360":  0.02,  # Sell after 6 hours if there is at least 2% profit
    "0":    0.025  # Sell immediately if there is at least 2.5% profit
},

stoploss is loss in percentage that should trigger a sale. For example value -0.10 will cause immediate sell if the profit dips below -10% for a given trade. This parameter is optional.

initial_state is an optional field that defines the initial application state. Possible values are running or stopped. (default=running) If the value is stopped the bot has to be started with /start first.

The other values should be self-explanatory, if not feel free to raise a github issue.

Prerequisites

• python3.6
• sqlite
• TA-lib binaries

Install

$ cd freqtrade/
# copy example config. Dont forget to insert your api keys
$ cp config.json.example config.json
$ python -m venv .env
$ source .env/bin/activate
$ pip install -r requirements.txt
$ ./main.py

Execute tests

$ python -m unittest

Docker

$ cd freqtrade
$ docker build -t freqtrade .
$ docker run --rm -it freqtrade