# freqtrade

[![Build Status](https://travis-ci.org/gcarq/freqtrade.svg?branch=develop)](https://travis-ci.org/gcarq/freqtrade)
[![Coverage Status](https://coveralls.io/repos/github/gcarq/freqtrade/badge.svg?branch=develop)](https://coveralls.io/github/gcarq/freqtrade?branch=develop)


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 [table]: Lists all open trades
* /count: Displays number of 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": {
    "50": 0.0,    # Sell after 30 minutes if the profit is not negative
    "40": 0.01,   # Sell after 25 minutes if there is at least 1% profit
    "30": 0.02,   # Sell after 15 minutes if there is at least 2% profit
    "0":  0.045  # Sell immediately if there is at least 4.5% 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.

### Prerequisites
* python3.6
* sqlite
* [TA-lib](https://github.com/mrjbq7/ta-lib#dependencies) binaries

### Install

#### Arch Linux

Use your favorite AUR helper and install `python-freqtrade-git`.

#### Manually

`master` branch contains the latest stable release.

`develop` branch has often new features, but might also cause breaking changes. To use it, you are encouraged to join our [slack channel](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE).

```
$ 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
$ pip install -e .
$ ./freqtrade/main.py
```

There is also an [article](https://www.sales4k.com/blockchain/high-frequency-trading-bot-tutorial/) about how to setup the bot (thanks [@gurghet](https://github.com/gurghet)).*

\* *Note:* that article was written for an earlier version, so it may be outdated

#### Docker

Building the image:

```
$ cd freqtrade
$ docker build -t freqtrade .
```

For security reasons, your configuration file will not be included in the
image, you will need to bind mount it. It is also advised to bind mount
a SQLite database file (see second example) to keep it between updates.

You can run a one-off container that is immediately deleted upon exiting with
the following command (config.json must be in the current working directory):

```
$ docker run --rm -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
```

To run a restartable instance in the background (feel free to place your
configuration and database files wherever it feels comfortable on your
filesystem):

```
$ cd ~/.freq
$ touch tradesv2.sqlite
$ docker run -d \
  --name freqtrade \
  -v ~/.freq/config.json:/freqtrade/config.json \
  -v ~/.freq/tradesv2.sqlite:/freqtrade/tradesv2.sqlite \
  freqtrade
```
If you are using `dry_run=True` you need to bind `tradesv2.dry_run.sqlite` instead of `tradesv2.sqlite`.

You can then use the following commands to monitor and manage your container:

```
$ docker logs freqtrade
$ docker logs -f freqtrade
$ docker restart freqtrade
$ docker stop freqtrade
$ 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

```
$ pytest
```
This will by default skip the slow running backtest set. To run backtest set:

```
$ BACKTEST=true pytest -s freqtrade/tests/test_backtesting.py
```

### 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 on [slack](https://join.slack.com/t/highfrequencybot/shared_invite/enQtMjQ5NTM0OTYzMzY3LWMxYzE3M2MxNDdjMGM3ZTYwNzFjMGIwZGRjNTc3ZGU3MGE3NzdmZGMwNmU3NDM5ZTNmM2Y3NjRiNzk4NmM4OGE) or in a [issue](https://github.com/gcarq/freqtrade/issues) before a PR.
