股票公式是股市分析中常用的工具，可以帮助投资者分析股票的走势和预测未来的价格。下面是一些常见的股票公式的源码大全。

1. 移动平均线（Moving Average）

def moving_average(data, period):
    ma_list = []
    for i in range(period-1, len(data)):
        ma = sum(data[i-period+1:i+1]) / period
        ma_list.append(ma)
    return ma_list

2. 相对强弱指标（Relative Strength Index，简称RSI）

def rsi(data, period):
    rsi_list = []
    for i in range(period-1, len(data)):
        up_sum = 0
        down_sum = 0
        for j in range(i-period+1, i):
            diff = data[j+1] - data[j]
            if diff > 0:
                up_sum += diff
            else:
                down_sum += abs(diff)
        rs = up_sum / down_sum
        rsi = 100 - (100 / (1 + rs))
        rsi_list.append(rsi)
    return rsi_list

3. 布林线（Bollinger Bands）

def bollinger_bands(data, period, k):
    bb_upper = []
    bb_middle = []
    bb_lower = []
    for i in range(period-1, len(data)):
        std = statistics.stdev(data[i-period+1:i+1])
        ma = sum(data[i-period+1:i+1]) / period
        upper = ma + k * std
        middle = ma
        lower = ma - k * std
        bb_upper.append(upper)
        bb_middle.append(middle)
        bb_lower.append(lower)
    return bb_upper, bb_middle, bb_lower

4. 相对强弱指数（Relative Strength Index，简称RSI）

def rsi(data, period):
    rsi_list = []
    for i in range(period-1, len(data)):
        up_sum = 0
        down_sum = 0
        for j in range(i-period+1, i):
            diff = data[j+1] - data[j]
            if diff > 0:
                up_sum += diff
            else:
                down_sum += abs(diff)
        rs = up_sum / down_sum
        rsi = 100 - (100 / (1 + rs))
        rsi_list.append(rsi)
    return rsi_list

5. 相对强弱指数平均线（Relative Strength Index Moving Average，简称RSIMA）

def rsima(data, period, ma_period):
    rsi_list = rsi(data, period)
    rsima_list = moving_average(rsi_list, ma_period)
    return rsima_list

以上是一些常见的股票公式的源码大全，希望对股市分析和投资有所帮助。