多次买卖股票 python

在Python中，模拟多次买卖股票通常涉及到策略交易的基本算法，例如著名的"买低卖高"的股票交易策略。你可以使用回测库如pandas_datareader、yfinance或者backtrader等来进行模拟。以下是一个简单的示例，展示如何用pandas结合基本的涨跌停规则来操作：

import pandas as pd

# 假设我们有一个收盘价历史数据
def get_stock_prices(ticker):
    # 使用pandas_datareader获取股票价格数据
    prices = pd.read_csv('stock_prices.csv', index_col='Date', parse_dates=True)
    return prices[ticker]

def simulate_trading(prices, buy_threshold=0.95, sell_threshold=1.05, initial_capital=10000):
    capital = initial_capital
    shares = 0
    for i in range(1, len(prices)):
        current_price = prices.iloc[i]
        if shares == 0 and prices.iloc[i] / prices.iloc[i-1] < buy_threshold:  # 买入
            shares = capital // current_price
            capital -= shares * current_price
        elif shares > 0 and prices.iloc[i] / prices.iloc[i-1] > sell_threshold:  # 卖出
            profit = shares * current_price - capital
            capital += profit
            shares = 0
    return capital

# 示例使用
ticker = 'AAPL'
prices = get_stock_prices(ticker)
final_capital = simulate_trading(prices)
print(f"最终资本: {final_capital}")