Exemple #1
0
def drawBuyA(row, col, symbols, start, end):
    fig = plt.figure(figsize=(16, 16))
    i = 0
    for symbol in symbols:
        print(symbol)
        i += 1
        data = TushareStore.get_a_daily_data_ind(table='a_daily',
                                                 symbol=symbol,
                                                 start_date=start,
                                                 end_date=end,
                                                 append_ind=True)
        close, pdi, wr, wr_89, bias = data['close'], data['pdi'], data[
            'willr'], data['willr_89'], data['bias']
        ax = fig.add_subplot(row, col, i)
        ax.plot(close, c='grey')
        # buy = close[ind.LESS_THAN(bias.shift(1), -13) & ind.BOTTOM(bias)]
        buy = close[ind.LESS_THAN(wr.shift(1), -88) & ind.BOTTOM(wr)]
        # print buy
        ax.scatter(buy.index, buy, s=20, c='green')
        ax.set_xticks([])
        ax.set_yticks([])
        ax.set_ylabel(symbol)
    plt.legend()
    plt.subplots_adjust(hspace=1)
    plt.show()
Exemple #2
0
def drawBuy(row, col, sector, symbols, start, end):
    fig = plt.figure(figsize=(16, 8))
    i = 0
    for symbol in symbols:
        i += 1
        data = TushareStore.get_usa_daily_data_ind(sector=sector,
                                                   symbol=symbol,
                                                   start_date=start,
                                                   end_date=end,
                                                   append_ind=True)
        # data = store.get_chart_data_from_db("600%d.SH" % code, '20180101')
        # data = get_chart_data_from_web(code, '1/1/2018', '1/30/2019')
        close, pdi, wr, wr_89, bias = data['close'], data['pdi'], data[
            'willr'], data['willr_89'], data['bias']
        ax = fig.add_subplot(row, col, i)
        ax.plot(close, c='grey')
        # buy = close[(wr <= -98)]
        # ax.scatter(buy.index, buy, c='red')
        # buy = close[(wr <= -93) & (wr > -98)]
        # ax.scatter(buy.index, buy, c='orange')
        # buy = close[(wr <= -88) & (wr > -93)]

        # ax.scatter(buy.index, buy, c='yellow')
        # buy = close[(wr <= -83) & (wr > -88)]
        # ax.scatter(buy.index, buy, c='green')

        # buy = close[(pdi <= 10) & (wr < -88)]
        # ax.scatter(buy.index, buy, c='red')
        # buy = close[(pdi <= 12) & (pdi > 10) & (wr < -88)]
        # ax.scatter(buy.index, buy, c='orange')
        # buy = close[(pdi <= 16) & (pdi > 12) & (wr < -88)]
        # ax.scatter(buy.index, buy, c='yellow')
        # buy = close[(pdi <= 20) & (pdi > 16) & (wr < -88)]
        # ax.scatter(buy.index, buy, c='green')

        # buy = close[ind.UP_CROSS(wr_89, -83.5) & ind.LESS_THAN(wr, -50)]
        # buy = close[ind.LESS_THAN(wr_89, -97)  & ind.BOTTOM(wr_89)]
        # buy = close[ind.LESS_THAN(bias, -12) & ind.BOTTOM(bias) & ind.LESS_THAN(wr_89, -83.5)]
        buy = close[ind.LESS_THAN(bias.shift(1), -13) & ind.BOTTOM(bias)]
        ax.scatter(buy.index, buy, s=20, c='green')
        # ax = plt.twinx()
        # ax.plot(bias)
        # ax.plot(wr)
        # drawHline(ax, [-12])
        ax.set_xticks([])
        ax.set_yticks([])
        ax.set_ylabel(symbol)

    plt.legend()
    plt.subplots_adjust(hspace=0.1)
    plt.show()