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.
- /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
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.
ask_last_balance
sets the bidding price. Value 0.0
will use ask
price, 1.0
will
use the last
price and values between those interpolate between ask and last price. Using ask
price will guarantee quick success in bid, but bot will also 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.
- python3.6
- sqlite
- TA-lib binaries
$ 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
There is also an article about how to setup the bot (thanks @gurghet).
$ python -m unittest
$ cd freqtrade
$ docker build -t freqtrade .
$ docker run --rm -it freqtrade
Feel like our bot is missing a feature? We welcome your pull requests! Few pointers for contributions: