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震荡突破策略

Author: 巴啦啦小魔仙, Date: 2020-05-13 13:53:46
Tags: Breakthrough

策略描述

上轨：过去30根K线的最高价

下轨：过去30根K线的最低价

区间幅度：（上轨 - 下轨）/ （上轨 + 下轨）

如果区间幅度小于阈值a，价格向上突破上轨，买入开仓，价格跌破下轨平仓

如果区间幅度小于阈值a，价格向下突破上轨，卖出开仓，价格突破上轨平仓 img

联系方式

如果你对该策略有兴趣，请+V：Irene11229 (点击我的主页，我将会持续更新更多策略，同时还可获得几大头部交易所的市场分析数据)

#!/usr/bin/env python3
# -*- coding: utf-8 -*-


import json
import time

import requests
from kumex.client import Trade


def check_response_data(response_data):
    if response_data.status_code == 200:
        try:
            d = response_data.json()
        except ValueError:
            raise Exception(response_data.content)
        else:
            if d and d.get('s'):
                if d.get('s') == 'ok':
                    return d
                else:
                    raise Exception("{}-{}".format(response_data.status_code, response_data.text))
    else:
        raise Exception("{}-{}".format(response_data.status_code, response_data.text))


def get_kline(s, r, f, t, timeout=5, is_sandbox=False):
    headers = {}
    url = 'https://kitchen.kumex.com/kumex-kline/history'
    if is_sandbox:
        url = 'https://kitchen-sdb.kumex.com/kumex-kline/history'
    uri_path = url
    data_json = ''
    p = []
    if s:
        p.append("{}={}".format('symbol', s))
    if r:
        p.append("{}={}".format('resolution', r))
    if f:
        p.append("{}={}".format('from', f))
    if t:
        p.append("{}={}".format('to', t))
    data_json += '&'.join(p)
    uri_path += '?' + data_json

    response_data = requests.request('GET', uri_path, headers=headers, timeout=timeout)
    return check_response_data(response_data)


class Shock(object):

    def __init__(self):
        # read configuration from json file
        with open('config.json', 'r') as file:
            config = json.load(file)

        self.api_key = config['api_key']
        self.api_secret = config['api_secret']
        self.api_passphrase = config['api_passphrase']
        self.sandbox = config['is_sandbox']
        self.symbol = config['symbol']
        self.resolution = int(config['resolution'])
        self.valve = float(config['valve'])
        self.leverage = float(config['leverage'])
        self.size = int(config['size'])
        self.trade = Trade(self.api_key, self.api_secret, self.api_passphrase, is_sandbox=self.sandbox)


if __name__ == "__main__":
    shock = Shock()

    while 1:
        time_to = int(time.time())
        time_from = time_to - shock.resolution * 60 * 35
        data = get_kline(shock.symbol, shock.resolution, time_from, time_to, is_sandbox=shock.sandbox)
        print('now time =', time_to)
        print('symbol closed time =', data['t'][-1])
        if time_to != data['t'][-1]:
            continue
        now_price = int(data['c'][-1])
        print('closed price =', now_price)
        # high_track
        high = data['h'][-31:-1]
        high.sort(reverse=True)
        high_track = float(high[0])
        print('high_track =', high_track)

        # low_track
        low = data['l'][-31:-1]
        low.sort()
        low_track = float(low[0])
        print('low_track =', low_track)

        # interval_range
        interval_range = (high_track - low_track) / (high_track + low_track)
        print('interval_range =', interval_range)

        order_flag = 0
        # current position qty of the symbol
        position_details = shock.trade.get_position_details(shock.symbol)
        position_qty = int(position_details['currentQty'])
        print('current position qty of the symbol =', position_qty)
        if position_qty > 0:
            order_flag = 1
        elif position_qty < 0:
            order_flag = -1

        if order_flag == 1 and now_price < low_track:
            order = shock.trade.create_limit_order(shock.symbol, 'sell', position_details['realLeverage'],
                                                   position_qty, now_price)
            print('order_flag == 1,order id =', order['orderId'])
            order_flag = 0
        elif order_flag == -1 and now_price > high_track:
            order = shock.trade.create_limit_order(shock.symbol, 'buy', position_details['realLeverage'],
                                                   position_qty, now_price)
            print('order_flag == -1,order id =', order['orderId'])
            order_flag = 0

        if interval_range < shock.valve and order_flag == 0:
            if now_price > high_track:
                order = shock.trade.create_limit_order(shock.symbol, 'buy', shock.leverage, shock.size, now_price)
                print('now price > high track,buy order id =', order['orderId'])
                order_flag = 1
            if now_price < high_track:
                order = shock.trade.create_limit_order(shock.symbol, 'sell', shock.leverage, shock.size, now_price)
                print('now price < high track,sell order id =', order['orderId'])
                order_flag = -1
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