Skip to content

排行

包含漲跌幅、漲跌、高低價差、成交量及成交金額排行。Scanners利用scanner_type去取得不同類型的排行。

Scanners

>> api.scanners?

Signature:
api.scanners(
    scanner_type: shioaji.constant.ScannerType, 
    ascending: bool = True,
    date: str = None,
    count: shioaji.shioaji.ConstrainedIntValue = 100, # 0 <= count <= 200
    timeout: int = 30000,
    cb: Callable[[List[shioaji.data.ChangePercentRank]], NoneType] = None,
) -> List[shioaji.data.ChangePercentRank]

排名預設為由大到小排序，ascending預設值為True。若要由小到大排序請將ascending設為False。count為排行數量。

支援的排行類別

ChangePercentRank: 依價格漲跌幅排序
ChangePriceRank: 依價格漲跌排序
DayRangeRank: 依高低價差排序
VolumeRank: 依成交量排序
AmountRank: 依成交金額排序

範例

依價格漲跌幅排序

scanners = api.scanners(
    scanner_type=sj.constant.ScannerType.ChangePercentRank,
    count=1
)
scanners

Out

[
    ChangePercentRank(
        date='2021-04-09', 
        code='5211', 
        name='蒙恬', 
        ts=1617978600000000000, 
        open=16.4, 
        high=17.6, 
        low=16.35, 
        close=17.6, 
        price_range=1.25, 
        tick_type=1, 
        change_price=1.6, 
        change_type=1, 
        average_price=17.45, 
        volume=7, 
        total_volume=1742, 
        amount=123200, 
        total_amount=30397496, 
        yesterday_volume=514, 
        volume_ratio=3.39, 
        buy_price=17.6, 
        buy_volume=723, 
        sell_price=0.0, 
        sell_volume=0, 
        bid_orders=237, 
        bid_volumes=82, 
        ask_orders=33, 
        ask_volumes=64
    )
]

轉成 DataFrame

In

scanners = api.scanners(
    scanner_type=sj.constant.ScannerType.ChangePercentRank, 
    count=5
)
df = pd.DataFrame(s.__dict__ for s in scanners)
df.ts = pd.to_datetime(df.ts)
df

Out

date code name ts open high low close price_range tick_type change_price change_type average_price volume total_volume amount total_amount yesterday_volume volume_ratio buy_price buy_volume sell_price sell_volume bid_orders bid_volumes ask_orders ask_volumes
2023-01-17 6259 百徽 2023-01-17 11:11:41.030000 22.8 23.75 22.45 23.75 1.3 1 2.15 1 23.58 4 137 95000 3230900 26 5.27 0 8 0 0 65 211 5 11
2023-01-17 6788 華景電 2023-01-17 11:19:01.924000 107 116 107 116 9 1 10.5 1 113.61 1 4292 116000 487606000 682 6.29 0 1053 0 0 1044 3786 501 1579
2023-01-17 2540 愛山林 2023-01-17 11:17:39.435000 85.2 85.2 83 85.2 2.2 1 7.7 1 85.04 1 1226 85200 104253800 702 1.75 0 142 0 0 362 5779 121 1831
2023-01-17 8478 東哥遊艇 2023-01-17 11:18:33.702000 350.5 378 347 378 31 1 34 1 363.39 1 12115 378000 4402427500 8639 1.4 0 3307 0 0 3754 235724 1906 29843
2023-01-17 6612 奈米醫材 2023-01-17 11:15:32.752000 102 109 102 109 7 1 9.7 1 106.95 1 1329 109000 142134500 1022 1.3 0 298 0 0 467 22718 162 1016

屬性

ChangePercentRank

date (str): 交易日 
code (str): 股票代號
name (str): 股票名稱
ts (int): 時間戳記
open (float): 開盤價
high (float): 最高價
low (float): 最低價
close (float): 收盤價
price_range (float): 價格區間(最高價-最低價)
tick_type (int): 內外盤別 {1: 內盤, 2: 外盤, 0: 無法判定}
change_price (float): 價格漲跌
change_type (int): 漲跌
    {LimitUp, Up, Unchanged, Down, LimitDown}
average_price (float): 均價
volume (int): 成交量
total_volume (int): 總成交量
amount (int): 成交金額
total_amount (int): 總成交金額
yesterday_volume (int): 昨日總成交量
volume_ratio (float): 總成交量/昨日總成交量
buy_price (float): 委買價
buy_volume (int): 委買量
sell_price (float): 委賣價
sell_volume (int): 委賣量
bid_orders (int): 內盤總成交單量
bid_volumes (int): 內盤總成交量
ask_orders (int): 外盤總成交單量
ask_volumes (int): 外盤總成交量