stock_share_history 历史股本

symbol: String(20)
from_date: String(20)
to_date: String(20)
shares: BigInteger

股本对象

参数

• symbol: 对应的合约代码
• from_date: 股本数量记录开始时间
• to_date: 股本数量记录结束时间
• shares: 股本数量

示例

>>>stock_shares = get_data(query(stock_share_history.symbol, stock_share_history.shares, stock_share_history.to_date).filter(stock_share_history.symbol=='AAPL'))
>>>print(stock_shares)
    symbol      shares     to_date
0     AAPL  3519068224  1989-12-31
1     AAPL  3519068224  1990-01-01
2     AAPL  3535560000  1990-01-31
3     AAPL  3504032000  1990-05-31
4     AAPL  3409924224  1990-07-31
5     AAPL  3354120000  1991-01-01
6     AAPL  3230052224  1991-01-31
7     AAPL  3271240000  1991-06-02
8     AAPL  3339756224  1991-10-31
9     AAPL  3302852224  1992-01-01
10    AAPL  3314808000  1992-02-02
11    AAPL  3350760000  1992-05-31
12    AAPL  3367560000  1992-09-30
13    AAPL  3311504000  1993-01-03
14    AAPL  3317412000  1993-02-28
15    AAPL  3313688000  1993-05-31
16    AAPL  3227196000  1993-08-01
17    AAPL  3251584000  1993-09-29
18    AAPL  3252116980  1994-01-25
19    AAPL  3282803748  1994-08-11
20    AAPL  3330461680  1994-12-12
21    AAPL  3356959704  1995-02-08
22    AAPL  3381336644  1995-05-14
23    AAPL  3392437944  1995-08-10
24    AAPL  3435355448  1995-12-18
25    AAPL  3444633472  1996-02-11
26    AAPL  3462372984  1996-05-12
27    AAPL  3464070680  1996-08-11
28    AAPL  3485391168  1996-12-18
29    AAPL  3487470308  1997-02-09
..     ...         ...         ...
164   AAPL  5578753000  2015-10-27

---

fundamental 财务数据

period_end_date: String(20)
symbol: String(20)
eps: Float
net_asset: Float
revenues: Float
cash_operations: Float
net_income: Float
net_income_to_parent_company: Float
total_revenues: Float
long_term_debt: Float

财务数据

参数

• period_end_date: 财务数据失效时间
• symbol: 对应的合约代码
• exchange:
• calendar_quarter: 对应的合约代码
• calendar_year: 对应的合约代码
• eps: 每股盈余
• net_asset: 净值
• revenues: 收入
• cash_operations: 营运现金流量
• net_income: 净收入
• net_income_to_parent_company: 净收入归属母公司
• total_revenues: 总收益
• long_term_debt: 长期债务

示例

>>>data = get_data(query(fundamentals.symbol, fundamentals.eps, fundamentals.revenues).filter(fundamentals.eps>0))
>>>print(data)
      symbol        eps      revenues
0       SIFY   5.639694  5.447347e+09
1        MLM   5.900000  1.853546e+09
2        GFA   4.772362  1.204287e+09
3        PRK   0.971413  6.893600e+07
4       EFSC   0.140519  1.630250e+07
5        MPW   0.499056  7.788800e+07
6        THG   0.401559  2.743600e+09
7        MLM   4.040000  1.774438e+09
8       HTGC   0.636500  8.552000e+06
9       JRJC   0.961019  5.624277e+07
10       PBR   3.759688  2.151185e+11
11       GFA   5.701905  1.740404e+09
12       XRM  11.529931  6.381390e+08
13      ZAGG   0.110638  1.979160e+07
14        CA   1.292397  4.138000e+09
15      OESX   0.020156  7.263400e+07
16      ALKS   1.371412  3.268390e+08
17      SPLP   5.021146           NaN
18      EROS   1.053569  1.566970e+08
19      MDRX   0.208685  5.484390e+08
20       NBN   0.355629  4.470000e+06
21       QSR   1.484421  2.537400e+09
22      PSEC   1.112297           NaN
23       SSY   0.114357  1.460600e+08
24      MLVF   0.158669  2.005000e+06
25      QCOM   0.961352  1.038700e+10
26      SRDX   2.153713  1.215340e+08
27      PSMT   1.429849  1.245913e+09
28       ACM   1.759259  6.119000e+09
29       SPH   4.986962  1.100440e+09
...      ...        ...           ...
25776   BLBD   1.145069  1.024976e+09
25777   JOUT   4.090625  5.442680e+08
25778     NX   0.758710  8.897850e+08
25779    BRT   1.630476  1.188720e+08
25780   TCCO   0.060000  5.307000e+06
25781   INTL   2.943553  8.170000e+08
25782    PHX   0.863325  4.787728e+07
25783   PLAB   0.611006  5.352760e+08
25784    IGV   0.026175           NaN
25785   NDSN   6.509832  2.254668e+09
25786    IPE   0.006298           NaN
25787   GENC   0.866961  9.861400e+07
25788   CIVI   0.404387  1.602202e+09
25789   ADBE   5.281215  9.030008e+09
25790    MXF   0.106592  4.028500e+07
25791    GCP   0.086400           NaN
25792    EWI   0.924424           NaN