shioaji-realtime-kbars 1.1.0

An Extensions help you streaming with real-time data

Shioaji Realtime Kline Extension

An Extensions help you streaming with real-time data

Table Of Contents

• About the Project
• Description
• Getting Started
• Usage
• Version
• Roadmap
• Authors
• Acknowledgements

About The Project

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.

If you have any ideas or suggestions, we sincerely welcome you to contact us via email, or by creating an issue.

Assuming this project has been of great help to you, you are welcome to support my continued efforts through the following means.

ETH : 0xb25aD6A441E89cFCa7850bA47A0d74131374d616

Description

1. To use the extension just initialize the object

import shioaji_realtime_kbars
Contracts = shioaji_realtime_kbars.ShioajiRealtimeKbars(api)

2. Get the real-time Kbars data with function

shioaji_realtime_kbars.Kbars(
    contract: shioaji.contracts.BaseContract,
    period: str = '5min'
) -> shioaji.data.Kbars

:information_source: period format can refer to the pandas document.

:warning: If you using this extension, you start with the market is opened and transactions frequently time. The latest Kline will be a little error.

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.

Getting Started

This is an example of how you may give instructions on setting up your project locally.

pip install shioaji_realtime_kbars

Usage

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")

Callback funtion

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

Example

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()

Version

• 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

Roadmap

See the open issues for a list of proposed features (and known issues).

Authors

• You-rui, Lin - ** - You-rui, Lin - Whole project