請問如何non blocking mode在下, 得知錯誤的發生, 目前看似error已經被caught, 並不會呼叫callback
pysolace:onreply_callback_wrap:138 - An error has been caught in function 'onreply_callback_wrap', process 'MainProcess' (77), thread 'Dummy-3' (140316615677696):
Traceback (most recent call last):
有 7 筆資料符合您搜尋的條件
- 2023-02-22, 19:48
- 版面: 你的Q我來A
- 主題: list_profit_loss non blocking mode會有錯誤訊息
- 回覆: 2
- 觀看: 248
Re: list_profit_loss non blocking mode會有錯誤訊息
list_profit_loss 也有error產生 023-02-22 11:46:47.611 | ERROR | pysolace:onreply_callback_wrap:142 - An error has been caught in function 'onreply_callback_wrap', process 'MainProcess' (811), thread 'Dummy-3' (139968872408832): Traceback (most recent call last): > File "/opt/conda/lib/python3.8/sit...
- 2023-02-22, 19:09
- 版面: 你的Q我來A
- 主題: list_profit_loss non blocking mode會有錯誤訊息
- 回覆: 2
- 觀看: 248
Re: list_profit_loss non blocking mode會有錯誤訊息
update_order non blocking mode似乎沒作用
- 2023-02-22, 15:34
- 版面: 你的Q我來A
- 主題: list_profit_loss non blocking mode會有錯誤訊息
- 回覆: 2
- 觀看: 248
list_profit_loss non blocking mode會有錯誤訊息
Hi, 麻煩協助此問題,謝謝 2023-02-22 07:27:11.607 | ERROR | pysolace:onreply_callback_wrap:142 - An error has been caught in function 'onreply_callback_wrap', process 'MainProcess' (75), thread 'Dummy-4' (140552552916736): Traceback (most recent call last): > File "/opt/conda/lib/python3.8/site-packages/p...
- 2023-02-07, 16:02
- 版面: 你的Q我來A
- 主題: 期貨取得ticks許多tick_type為0
- 回覆: 1
- 觀看: 407
Re: 期貨取得ticks許多tick_type為0
請問這個問題沒辦法解決嗎?
- 2022-08-24, 12:40
- 版面: 你的Q我來A
- 主題: 期貨取得ticks許多tick_type為0
- 回覆: 1
- 觀看: 407
期貨取得ticks許多tick_type為0
期貨透過ticks取得的資料內容有很大部分是tick_type = 0,麻煩協助確認一下,謝謝 ticks = api.ticks( contract=api.Contracts.Futures['CZFI2'], date='2022-08-24' ) df = pd.DataFrame({**ticks}) df[df['tick_type'] == 0] bid_price ask_volume volume ts tick_type ask_price close bid_volume 58 95.4 8 1 1661331181957000000 0 95.5 95.4 1 71 9...
- 2022-08-19, 23:57
- 版面: 你的Q我來A
- 主題: kbars function的最後一筆有誤
- 回覆: 1
- 觀看: 390
kbars function的最後一筆有誤
代碼: 選擇全部
kbars = api.kbars(
contract=api.Contracts.Indexs.TSE.TSE001,
start='2022-08-19',
end='2022-08-19'
)
df = pd.DataFrame({**kbars})
df.ts = pd.to_datetime(df.ts)
df
15408.78 15408.78 15408.78 2022-08-19 13:30:00 15408.78 660273 4.298567e+10