由于自动交易机器人做市策略APP和量化交易系统开发是一个非常复杂的项目,涉及大量的代码和多个模块,因此在这里无法提供完整的代码。不过,我可以为您提供一些开发自动交易机器人做市策略APP和量化交易合约时可能需要涉及的模块和相关代码的参考。
1、用户界面模块
import kivy
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
class UserInterface(BoxLayout): 【完整逻辑部署搭建可看我昵称】
def init(self, kwargs):
super(UserInterface, self).init(kwargs)
self.orientation = "vertical"
self.add_widget(Button(text="Start Trading", on_press=self.start_trading))
self.add_widget(Button(text="Stop Trading", on_press=self.stop_trading))
class QuantitativeTradingApp(App):
def build(self):
return UserInterface()
if name == "main":
QuantitativeTradingApp().run()
2、集成交易API模块
import requests 【完整逻辑部署搭建可看我昵称】
import json
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class TradingAPI:
def init(self, api_url, api_key):
self.api_url = api_url
self.api_key = api_key
def place_order(self, symbol, amount, price):
data = {
"symbol": symbol,
"amount": amount,
"price": price,
"api_key": self.api_key
}
response = requests.post(self.api_url, data=json.dumps(data))
order_id = json.loads(response.text)["order_id"]
return order_id
3、开发做市策略模块
import time
import random
class MarketMaker:
def init(self, symbol, order_size, price_range):
self.symbol = symbol
self.order_size = order_size
self.price_range = price_range
self.current_price = random.uniform(price_range[0], price_range[1])
self.order_book = []
def make_market(self):
while True:
self.update_price()
self.update_order_book()
time.sleep(1)
def update_price(self):
self.current_price = random.uniform(self.price_range[0], self.price_range[1])
def update_order_book(self):
if len(self.order_book) < self.order_size:
self.add_new_order()
else:
self.cancel_old_orders()
self.add_new_order()
def add_new_order(self):
if self.current_price < self.price_range[1]:
order = {"symbol": self.symbol, "amount": 100, "price": self.current_price}
self.order_book.append(order)
print("Added new buy order at price {}".format(order["price"]))
else:
print("Market price reached upper limit")