Very very simple logic for crix automatic trading

crix-simple.py

# Welcome to CRIX.
# This file is a minimal example to get you started.
# If you have any questions, you can always ask us on Telegram: https://t.me/joinchat/AAKXwhUQzCJTcSd4h76LYQ
# Or check out Catalyst's documentation: https://enigma.co/catalyst/
# Happy trading!
# youtube: https://www.youtube.com/watch?v=yswBW0uyqgQ&t=5s

# Imports
import pandas as pd
import numpy as np
from cryzen import plot, param

# Exchange, symbol to trade, and starting capital
SYMBOL_NAME = 'eth_btc'
CAPITAL_BASE = 1.0  # Units in `QUOTE_CURRENCY` below
QUOTE_CURRENCY = 'btc'

# Trading frequency, and time range to backtest over
DATA_FREQUENCY = 'daily'  # choices: 'minute', or 'daily'
START_TIME = pd.to_datetime('2019-01-01', utc=True)
END_TIME = pd.to_datetime('2019-11-19', utc=True)
BOUGHT = False

def initialize(context):
    context.asset = symbol(SYMBOL_NAME)

def handle_data(context, data):
    global BOUGHT
    historical_data = data.history(
        context.asset,
        bar_count=3,
        fields=['price', 'open', 'high', 'low', 'close', 'volume'],
        frequency='1D')  # frequency can be '1D' for daily, or
    print(historical_data)
    
    current_close = historical_data['close'][-1]
    starting_close = historical_data['close'][0]
    net_charge = (current_close - starting_close) / starting_close
    plot(context, net_charge = net_charge)
    
    if (net_charge > 0 ) and (not BOUGHT):
        order_target_percent(context.asset, 0.75)
        BOUGHT = True
    
    if (net_charge < 0) and BOUGHT:
        order_target_percent(context.asset, 0)
        BOUGHT = False
    
def analyze_live(context, results):
    pass


# `analyze` runs at the end of a job
def analyze(context, results):
    print("Runs after job ends")