问财量化选股策略逻辑
首先，我们定义一个函数来筛选至少5根均线重合的股票：
def has_consecutive_moving_average(candles):
# 计算股票的均线
moving_averages = candles['close'].rolling(window=5).mean()
# 找到至少5根均线重合的股票
consecutive_moving_averages = moving_averages.where(moving_averages.diff() > 0, other=np.nan)
consecutive_moving_averages = consecutive_moving_averages.where(consecutive_moving_averages > 0, other=np.nan)
consecutive_moving_averages = consecutive_moving_averages.where(consecutive_moving_averages > 0, other=np.nan)
consecutive_moving_averages = consecutive_moving_averages.where(consecutive_moving_averages > 0, other=np.nan)
consecutive_moving_averages = consecutive_moving_averages.where(consecutive_moving_averages > 0, other=np.nan)
return consecutive_moving_averages.notnull().sum() >= 5
接下来，我们定义一个函数来筛选前25天有涨停的股票：
def has_stocks_with_sudden_gain(candles):
# 计算股票的涨幅
gains = candles['close'].pct_change()
# 筛选出前25天涨幅超过20%的股票
stocks_with_sudden_gain = gains.where(gains > 0.2, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
return stocks_with_sudden_gain.notnull().sum() >= 25
最后，我们定义一个函数来筛选500日内至少2次涨停的股票：
def has_stocks_with_sudden_gain多次(candles):
# 计算股票的涨幅
gains = candles['close'].pct_change()
# 筛选出500日内涨幅超过20%的股票
stocks_with_sudden_gain = gains.where(gains > 0.2, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
# 筛选出至少2次涨幅超过20%的股票
stocks_with_sudden_gain_multiple = stocks_with_sudden_gain.where(stocks_with_sudden_gain > 0, other=np.nan)
stocks_with_sudden_gain_multiple = stocks_with_sudden_gain_multiple.where(stocks_with_sudden_gain_multiple > 0, other=np.nan)
stocks_with_sudden_gain_multiple = stocks_with_sudden_gain_multiple.where(stocks_with_sudden_gain_multiple > 0, other=np.nan)
stocks_with_sudden_gain_multiple = stocks_with_sudden_gain_multiple.where(stocks_with_sudden_gain_multiple > 0, other=np.nan)
stocks_with_sudden_gain_multiple = stocks_with_sudden_gain_multiple.where(stocks_with_sudden_gain_multiple > 0, other=np.nan)
return stocks_with_sudden_gain_multiple.notnull().sum() >= 2
选股逻辑分析
以上三个函数分别筛选了至少5根均线重合的股票、前25天有涨停的股票和500日内至少2次涨停的股票。这些筛选条件可以有效地过滤掉一些不具备投资价值的股票，从而提高最终选出的股票的质量。
有何风险？
这些筛选条件可能会过滤掉一些具备投资价值的股票，例如在市场回调期间，股票可能会经历一段时间的下跌，导致均线重合、前25天有涨停或500日内至少2次涨停的股票数量减少。因此，在使用这些筛选条件进行投资决策时，需要谨慎考虑市场风险。
如何优化？
为了更好地优化这些筛选条件，可以考虑加入更多的因素，例如股票的市值、盈利能力、财务状况等。此外，可以使用更多的数据来源，例如财务
如何进行量化策略实盘？
请把您优化好的选股语句放入文章最下面模板的选股语句中即可。
select_sentence = '市值小于100亿' #选股语句。
模板如何使用？
点击图标右上方的复制按钮，复制到自己的账户即可使用模板进行回测。
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