An Extensions help you streaming with real-time data
When you use Shioaji Python API for technical analysis, you may need real-time data, and in different time dimensions, this package can help you subscribe to tick data and convert it into Kbars type (exactly the same as Shioaji Kbars ), to assist you in converting from Kbars to use more immediate data.
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- To use the extension just initialize the object
import shioaji_realtime_kbars
Contracts = shioaji_realtime_kbars.ShioajiRealtimeKbars(api)
- Get the real-time Kbars data with function
shioaji_realtime_kbars.Kbars(
contract: shioaji.contracts.BaseContract,
period: str = '5min'
) -> shioaji.data.Kbars
ℹ️ period format can refer to the pandas document.
Example : I use this extension in 8:45:10 in future market. The 8:46 Kline will have a little error. Ths data after 8:47 will be correct. So run this extension before the market is opened.
This is an example of how you may give instructions on setting up your project locally.
pip install shioaji_realtime_kbars
Refer to the shioaji sample
import pandas as pd
kbars = api.kbars(
contract=api.Contracts.Stocks["2330"],
start="2023-01-15",
end="2023-01-16",
)
df = pd.DataFrame({**kbars})
df.ts = pd.to_datetime(df.ts)
df.tail(5)
Change to
Contracts = shioaji_realtime_kbars.ShioajiRealtimeKbars(api)
Contracts.subscribe(api.Contracts.Futures.MXF.MXFR1)
Contracts.subscribe(api.Contracts.Futures.TXF.TXFR1)
@api.on_tick_stk_v1()
def callback(exchange: Exchange, tick : TickSTKv1):
Contracts.update(tick, "stk")
@api.on_tick_fop_v1()
def callback(exchange : Exchange, tick : TickFOPv1):
Contracts.update(tick, "fop")
while True:
MXFR1_1K = Contracts.kbars(api.Contracts.Futures.MXF.MXFR1, "1min")
df = pd.DataFrame({**MXFR1_1K })
df.ts = pd.to_datetime(df.ts)
print(df.tail(2), end = "\n")
MXFR1_5K = Contracts.kbars(api.Contracts.Futures.MXF.MXFR1, "5min")
df = pd.DataFrame({**MXFR1_5K })
df.ts = pd.to_datetime(df.ts)
print(df.tail(2), end = "\n")
shioaji_realtime_kbars.ShioajiRealtimeKbars.subscribe?
Signature:
shioaji_realtime_kbars.ShioajiRealtimeKbars.subscribe(
contract: List[Union[shioaji.contracts.Option, shioaji.contracts.Future, shioaji.contracts.Stock, shioaji.contracts.Index]],
last_days: int = 0,
cb: Any = List[[callback_function, period]]
) -> None
If you want to clearly write your strategy. You can refer to example
def strategy(period, kbars):
print(period)
df = pd.DataFrame({**kbars}, columns = ["ts", "Open", "High", "Low", "Close", "Volume", "Amount"])
df.ts = pd.to_datetime(df.ts)
### Write your strategy here ###
print(df.tail(5), end = "\n")
if __name__ == "__main__":
api = sj.Shioaji(simulation = True)
api.login(
api_key=config.API_KEY,
secret_key=config.API_SECRET
)
Contracts = shioaji_realtime_kbars.ShioajiRealtimeKbars(api)
Contracts.subscribe(api.Contracts.Futures.MXF.MXFR1, last_days = 3, cb = [[strategy, "1min"], [strategy, "5min"]])
@api.on_tick_fop_v1()
def callback(exchange : Exchange, tick : TickFOPv1):
Contracts.update(tick, "fop")
Event().wait()
- v1.1.0 (2024/2/27) Improve with memory allocation
- v1.0.7 (2023/10/11) Add TSE, TFE simtrade filter, Fix kbars with no historical problem
- v1.0.6 (2023/7/28) Fis display
- v1.0.5 (2023/7/19) Add callback function
- v1.0.4 (2023/7/17)
- v1.0.3 (2023/6/30) Fix Stock kbars problem issue
- v1.0.1 Fix Naming Problem
- v1.0.0
See the open issues for a list of proposed features (and known issues).
- You-rui, Lin - ** - You-rui, Lin - Whole project