由于量化交易机器人软件平台开发是一个非常复杂的项目,涉及大量的源代码和多个模块,因此在这里无法提供完整的源代码。不过,我可以为您提供一些开发量化交易机器人软件平台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 tkinter as tk
from tkinter import ttk
class Application(tk.Frame):
def init(self, master=None):
super().init(master)
self.master = master
self.pack()
self.create_widgets()
def create_widgets(self): 【完整逻辑部署搭建可看我昵称】
self.quit_button = ttk.Button(self, text="Quit", command=self.master.destroy)
self.quit_button.pack()
if name == "main":
root = tk.Tk()
app = Application(master=root)
app.mainloop()
telegram咨询点击此通道:https://t.me/ch3nguang
2、数字货币数据获取模块
import requests
import json
class CryptoCurrencyData:
def init(self):
self.url = "https://api.example.com/data"
self.headers = {"Authorization": "Bearer token"}
def get_data(self):
response = requests.get(self.url, headers=self.headers)
data = json.loads(response.text)
return data
3、量化交易算法模块【完整逻辑部署搭建可看我昵称】
import numpy as np
import pandas as pd
class QuantitativeTradingAlgorithm:
def init(self):
pass
def calculate_Moving_average(self, price_data):
rolling_mean = price_data.rolling(window=20).mean()
return rolling_mean
def signal_generation(self, price_data, moving_average):
signals = []
for i in range(1, len(price_data)):
if price_data[i] > moving_average[i]:
signals.append("buy")
elif price_data[i] < moving_average[i]:
signals.append("sell")
else:
signals.append("hold")
return signals
4、交易执行模块
class TradingBot:
def init(self):
pass
def start_trading(self, symbol, amount, entry_signal, exit_signal):
while True:
price = CryptoCurrencyData().get_data()["price"]
if entry_signal == "buy":
if price < float(amount / symbol):
print("Buying {} {} at price {}".format(amount, symbol, price))
# Insert code to execute buy order here
exit_signal = self.check_exit_signal(exit_signal, price)
elif entry_signal == "sell":
if price > float(amount / symbol):
print("Selling {} {} at price {}".format(amount, symbol, price))
# Insert code to execute sell order here
exit_signal = self.check_exit_signal(exit_signal, price)
exit_signal = self.check_exit_signal(exit_signal, price)