ゑびす

Trading bot for BitMex.

The author is not responsible for any damage caused by this software.

Features

• Swithable strategy
• Back test
• Connect testnet
• Stub trading

Implemented strategies

1. Channel Breakout
2. Cross SMA
3. RCI
4. Open Close Cross Strategy
5. Trading View Strategy

Dependencies

• Python: 3.6.5

How to install

1. Install packages

OSX

$ brew install ta-lib
$ git clone https://github.com/noda-sin/ebisu.git
$ cd ebisu/
$ pip install -r requirements.txt

LINUX

$ wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
$ tar xvzf ta-lib-0.4.0-src.tar.gz
$ cd ta-lib/
$ ./configure --prefix=/usr
$ make
$ sudo make install
$ git clone https://github.com/noda-sin/ebisu.git
$ cd ebisu/
$ pip install -r requirements.txt

2. Setting environment

Set BitMex's API key with the environment variables BITMEX_APIKEY and BITMEX_SECRET as shown below.

$ vi ~/.bash_profile
export BITMEX_APIKEY=***********
export BITMEX_SECRET=***********

If you want to notify LINE, set LINE's API key to the environment variable LINE_APIKEY.

$ vi ~/.bash_profile
export LINE_APIKEY=***********

How to execute

$ python main.py --strategy STRATEGY

By changing the value of STRATEGY you can switch strategies to use.

例) Case of using Channel Breakout

$ python main.py --strategy Doten

Mode

1. Production Trade Mode

$ python main.py --strategy Doten

2. Demo Trade Mode

It is possible to trade with testnet.

$ python main.py --demo --strategy Doten

3. Back test Mode

$ python main.py --test --strategy Doten

4. Hyperopt Mode

$ python main.py --hyperopt --strategy Doten

5. Stub trade Mode

$ python main.py --stub --strategy Doten

How to use TV strategy

Here

How to add strategy

You can add strategy by creating a new class in src / strategy.py as follows. For example, this is a random entry implementation.

class Sample(Bot):
    def __init__(self):
        Bot.__init__(self, '1m', 10)

    def options(self):
        return {}

    def strategy(self, open, close, high, low):
        lot = self.exchange.get_lot()
        which = random.randrange(2)
        if which == 0:
            self.exchange.entry("Long", True, lot)
        else:
            self.exchange.entry("Short", False, lot)

If you specify the strategy class name with the --strategy argument as shown below, you can run the bot with the added strategy.

$ python main.py --strategy Sample

Support

if you support to me, please send BTC to me.

wallet: 1GPjM5AkdBDJnCouQ9AcS4mhUhdysXYCW1