C#股票策略一二

//information
//Console.WriteLine("Hello, World!");
//double[] price = new double[] { 1.10, 1.12, 1.15, 1.16, 1.17, 1.18, 1.17, 1.15, 1.16, 1.17, 1.18 };

//double[] ma = MovingAverage(price, 3); // 计算3 日均线
//double lastPrice = price[price.Length - 1];
//double lastMA = ma[ma.Length - 1];
//double prevMA = ma[ma.Length - 2];

//if (lastPrice > lastMA && prevMA > lastMA) // 金叉买入
//{
//    Console.WriteLine("购买：价格={0}，均线={1}", lastPrice, lastMA);
//    // 交易相关代码
//    Console.Read();
//}
//else if (lastPrice < lastMA && prevMA < lastMA) // 死叉卖出
//{
//    Console.WriteLine("卖出：价格={0}，均线={1}", lastPrice, lastMA);
//    // 交易相关代码
//    Console.Read();
//}
double[] priceHistory = new double[] { 1.10, 1.12, 1.15, 1.16, 1.17, 1.18, 1.17, 1.15, 1.16, 1.17, 1.18 };
//List<double> priceHistory = new List<double>(); // 假设已经获取了市场历史价格
double price = 1.15; // 假设当前市场价格为1.15美元

// 计算RSI指标
double rsi = RSI(priceHistory, 14);

if (rsi >= 70) // 超买信号，卖出头寸
{
    Console.WriteLine("卖出：价格={0} 美元，RSI={1}", price, rsi);
    // 交易相关代码
    Console.Read();
}
else if (rsi <= 30) // 超卖信号，买入头寸
{
    Console.WriteLine("购买：价格={0} 美元，RSI={1}", price, rsi);
    // 交易相关代码
    Console.Read();
}

// 计算移动平均线
//static double[] MovingAverage(double[] data, int period)
//{
//    double[] ma = new double[data.Length];

//    for (int i = period - 1; i < data.Length; i++)
//    {
//        double sum = 0;
//        for (int j = i - period + 1; j <= i; j++)
//        {
//            sum += data[j];
//        }
//        ma[i] = sum / period;
//    }

//    return ma;
//}

// 计算RSI指标
static double RSI(double[] prices, int period)
{
    double gainSum = 0;
    double lossSum = 0;

    // 计算每日涨跌幅
    for (int i = 1; i < prices.Length; i++)
    {
        double diff = prices[i] - prices[i - 1];
        if (diff > 0)
        {
            gainSum += diff;
        }
        else
        {
            lossSum += Math.Abs(diff);
        }
    }

    // 计算平均涨跌幅和RSI
    double avgGain = gainSum / period;
    double avgLoss = lossSum / period;
    double rs = avgGain / avgLoss;
    double rsi = 100 - (100 / (1 + rs));

    return rsi;
}