freqtrade

Simple High frequency trading bot for crypto currencies. Currently supports trading on Bittrex exchange.

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

Contributing

Feel like our bot is missing a feature? We welcome your pull requests! Few pointers for contributions:

• Create your PR against the develop branch, not master.
• New features need to contain unit tests.
• If you are unsure, discuss the feature in a (issue)[https://github.com/gcarq/freqtrade/issues] before a PR.