以下是一个使用Python语言开发的量化合约机器人的源代码demo示例：

import random
import time

合约代码

class Contract:

def __init__(self, symbol, symbol_name, data_feed, init_price, target_price, contract_type, gas_price, gas_limit, time_limit):  
    self.symbol = symbol  
    self.symbol_name = symbol_name  
    self.data_feed = data_feed  
    self.init_price = init_price  
    self.target_price = target_price  
    self.contract_type = contract_type  
    self.gas_price = gas_price  
    self.gas_limit = gas_limit  
    self.time_limit = time_limit  
    self.position = 0  
    self.fee = 0  
    self.profit = 0  
    self.change = 0  
    self.market_value = 0  
    self.open_interest = 0  
    self.close_interest = 0  
    self.underlying_index = []  

def request(self):  
    pass  

def clear_positions(self):  
    pass  

def cancel(self):  
    pass  

def update_position(self, position):  
    pass  

def close_position(self):  
    pass  

def execute(self):  
    pass  

策略生成函数

def generate_strategy():

symbol = input("Enter symbol: ")  
symbol_name = input("Enter symbol name: ")  
data_feed = input("Enter data feed: ")  
init_price = float(input("Enter init price: "))  
target_price = float(input("Enter target price: "))  
contract_type = input("Enter contract type: ")  
gas_price = float(input("Enter gas price: "))  
gas_limit = float(input("Enter gas limit: "))  
time_limit = float(input("Enter time limit: "))  
position = random.randint(0, 100)  
fee = random.randint(0, 100)  
profit = 0  
change = 0  
market_value = 0  
open_interest = 0  
close_interest = 0  
underlying_index = []  
strategy = Contract(symbol, symbol_name, data_feed, init_price, target_price, contract_type, gas_price, gas_limit, time_limit, position, fee, profit, change, market_value, open_interest, close_interest, underlying_index)  
return strategy  

机器人主循环

def main():

strategies = []  
while