TdxQuant

https://help.tdx.com.cn/quant
Admin
TdxQuant is a professional quantitative investment research platform and Python framework built on...
Tokens:76,751
Snippets:397
Trust Score:8.9
Update:4 months ago
Show doc for...
Tokens:
Raw
### Example Usage of order_stock

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h7k4iqb1grk4/mindoc-1h7k5j4drr928.html

Demonstrates how to initialize the tqcenter library, get a stock account, and place a buy order using the `order_stock` function. Ensure you have the tqcenter library installed and configured.

```python
from tqcenter import tq
from tqcenter import tqconst
tq.initialize(__file__)

myAccount = tq.stock_account(account="1190008847", account_type="STOCK")
print(myAccount)
order_res = tq.order_stock(account_id=myAccount,
                            stock_code="688318.SH",
                            order_type=tqconst.STOCK_BUY,
                            order_volume=200,
                            price_type=tqconst.PRICE_MY,
                            price=160.0)
print(order_res)
```

--------------------------------

### Initialize and Use get_pricevol

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1hce2o96aktmk.html

This example demonstrates how to initialize the tqcenter library, get a list of all stocks, and then use get_pricevol to fetch their price and volume information.

```python
from tqcenter import tq
tq.initialize(__file__)
all_stocks = tq.get_stock_list(market='23')
pv_info = tq.get_pricevol(stock_list=all_stocks)
print(pv_info)


```

--------------------------------

### Initialize and Get Formula Data Example

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h3hrvkp4sc0g/mindoc-1h3httgemshno.html

This snippet demonstrates how to initialize the tq center, set formula data using `formula_set_data_info`, retrieve the K-line data with `formula_get_data`, and print the result. Ensure you have downloaded the corresponding post-market data.

```python
from tqcenter import tq

tq.initialize(__file__)

formula_set_res = tq.formula_set_data_info(stock_code='688318.SH',stock_period='1d', count=5,dividend_type=1)
formula_kline = tq.formula_get_data()
print(formula_kline)


```

--------------------------------

### Example Usage of stock_account

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h7k4iqb1grk4/mindoc-1h7k4k5tk6q64.html

Demonstrates how to initialize the tq library and use the stock_account function to get a handle for a specific stock account. The returned handle is then printed.

```python
from tqcenter import tq
tq.initialize(__file__)
myAccount = tq.stock_account(account="1190008847", account_type="STOCK")
print(myAccount)

```

--------------------------------

### Start Main Loop

Source: https://help.tdx.com.cn/quant/docs/markdown/gzh0122inweixinwenz/gzh20260302wzlz.html

This snippet shows the standard Python entry point for starting the main loop of an application.

```python
if __name__ == "__main__":

main_loop()
```

--------------------------------

### Initialize tqcenter and Get Stock List (Codes Only)

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhttn72svo/mindoc-1h10qo3uj48fg.html

Demonstrates how to initialize the tqcenter library and call `get_stock_list` to retrieve only the stock codes.

```python
from tqcenter import tq
tq.initialize(__file__)
stock_list = tq.get_stock_list('16')
print(stock_list)
```

--------------------------------

### Example Usage of get_market_data

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h10g60jt68sc.html

This example demonstrates how to fetch the latest daily K-line data for a specific stock without any adjustments. Ensure tqcenter is initialized before use.

```python
from tqcenter import tq
tq.initialize(__file__)
df = tq.get_market_data(
        field_list=[],
        stock_list=['688318.SH'],
        start_time='20251220',
        end_time='',
        count=1,
        dividend_type='none',
        period='1d',
        fill_data=True
    )
print(df)
```

--------------------------------

### Initialize and Get Market Snapshot

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h10iig4pb6e0.html

Initializes the TQ center and retrieves the market snapshot for a specified stock. Use this to get real-time quote data.

```python
from tqcenter import tq

tq.initialize(__file__)

market_snapshot = tq.get_market_snapshot(stock_code = '688260.SH', field_list=[])
print(market_snapshot)
```

--------------------------------

### Initialize tqcenter and Get Stock List (Codes and Names)

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhttn72svo/mindoc-1h10qo3uj48fg.html

Shows how to initialize tqcenter and use `get_stock_list` with `list_type=1` to obtain both stock codes and their names.

```python
from tqcenter import tq
tq.initialize(__file__)
stock_list2 = tq.get_stock_list('16',list_type=1)
print(stock_list2)
```

--------------------------------

### Initialize and Get Formula List

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h3hrvkp4sc0g/mindoc-1hce2u769tljc.html

This snippet demonstrates how to initialize the tqcenter library and call the `formula_get_all` function to get a list of technical indicator formulas. The results are then printed.

```python
from tqcenter import tq

tq.initialize(__file__)
formule_all = tq.formula_get_all(formula_type=0)
print(formule_all)
```

--------------------------------

### Initialize and Get ETF Info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h13a594nhvb4/mindoc-1h6hknp6pjppc.html

Demonstrates how to initialize the tq library and call the `get_trackzs_etf_info` function with a specific index code. The results are then printed.

```python
from tqcenter import tq
tq.initialize(__file__)

trackzs_etf_info = tq.get_trackzs_etf_info(zs_code='950162.CSI')
print(trackzs_etf_info)


```

--------------------------------

### Initialize and Get All Formulas

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h3hrvkp4sc0g/mindoc-1hce356csmgmo.html

This snippet demonstrates how to initialize the tqcenter library and retrieve all formulas of a specific type. Use this to get a list of available formulas before querying for specific ones.

```python
from tqcenter import tq

tq.initialize(__file__)
formule_all = tq.formula_get_all(formula_type=0)
print(formule_all)


```

--------------------------------

### Example of Renaming a Custom Sector

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h139a4ckchkk/mindoc-1h10s7n863d50.html

This example demonstrates how to initialize the TQ center and then use the rename_sector function to rename a custom sector. It prints the result of the operation.

```python
from tqcenter import tq
tq.initialize(__file__)
rename_ptr = tq.rename_sector(block_code='CSBK', block_name='测试板块重命名')
print(rename_ptr)

```

--------------------------------

### Initialize and Get Stock Info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h10jj7r7jol4.html

This snippet shows how to initialize the tqcenter library and then call the get_stock_info function with a specific stock code. The results are then printed.

```python
from tqcenter import tq
tq.initialize(__file__)
fdc = tq.get_stock_info(stock_code='688318.SH', field_list=[])
print(fdc)
```

--------------------------------

### Example Usage of formula_set_data_info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h3hrvkp4sc0g/mindoc-1h3hs08rn02uc.html

This snippet demonstrates how to initialize the tq center and call the `formula_set_data_info` function with specific parameters. It then prints the result of the operation.

```python
from tqcenter import tq

tq.initialize(__file__)

formula_set_res = tq.formula_set_data_info(stock_code='688318.SH',stock_period='1d', count=100,dividend_type=1)
print(formula_set_res)


```

--------------------------------

### Example Usage of get_divid_factors

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h10hsiat36k4.html

This example demonstrates how to use the get_divid_factors function to retrieve all dividend and distribution data for a specific stock code. Ensure tqcenter is imported and initialized.

```python
from tqcenter import tq
tq.initialize(__file__)
dividend_factors = tq.get_divid_factors(
        stock_code='688318.SH',
        start_time='',
        end_time='')
print(dividend_factors)
```

--------------------------------

### Sample Output: Stock Codes

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhttn72svo/mindoc-1h10qo3uj48fg.html

Example output when `get_stock_list` is called to return only stock codes.

```json
['881001.SH', '881006.SH', '881015.SH', '881061.SH', '881070.SH', '881090.SH', '881105.SH', '881129.SH', '881150.SH', '881166.SH', '881183.SH', '881199.SH', '881211.SH', '881230.SH', '881260.SH', '881286.SH', '881292.SH', '881318.SH', '881337.SH', '881351.SH', '881368.SH', '881385.SH', '881393.SH', '881405.SH', '881417.SH', '881426.SH', '881441.SH', '881458.SH', '881469.SH', '881477.SH']
```

--------------------------------

### Sample Output: Stock Codes and Names

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhttn72svo/mindoc-1h10qo3uj48fg.html

Example output when `get_stock_list` is called with `list_type=1` to return stock codes and their corresponding names.

```json
[{'Code': '881001.SH', 'Name': '煤炭'}, {'Code': '881006.SH', 'Name': '石油'}, {'Code': '881015.SH', 'Name': '化工'}, {'Code': '881061.SH', 'Name': '钢铁'}, {'Code': '881070.SH', 'Name': '有色'}, {'Code': '881090.SH', 'Name': '建材'}, {'Code': '881105.SH', 'Name': '农林牧渔'}, {'Code': '881129.SH', 'Name': '食品饮料'}, {'Code': '881150.SH', 'Name': '纺织服饰'}, {'Code': '881166.SH', 'Name': '轻工制造'}, {'Code': '881183.SH', 'Name': '家电'}, {'Code': '881199.SH', 'Name': '商贸'}, {'Code': '881211.SH', 'Name': '汽车'}, {'Code': '881230.SH', 'Name': '医药医疗'}, {'Code': '881260.SH', 'Name': '电力设备'}, {'Code': '881286.SH', 'Name': '国防军工'}, {'Code': '881292.SH', 'Name': '机械设备'}, {'Code': '881318.SH', 'Name': '电子'}, {'Code': '881337.SH', 'Name': '通信'}, {'Code': '881351.SH', 'Name': '计算机'}, {'Code': '881368.SH', 'Name': '传媒'}, {'Code': '881385.SH', 'Name': '银行'}, {'Code': '881393.SH', 'Name': '非银金融'}, {'Code': '881405.SH', 'Name': '建筑'}, {'Code': '881417.SH', 'Name': '房地产'}, {'Code': '881426.SH', 'Name': '社会服务'}, {'Code': '881441.SH', 'Name': '交通运输'}, {'Code': '881458.SH', 'Name': '公用事业'}, {'Code': '881469.SH', 'Name': '环保'}, {'Code': '881477.SH', 'Name': '综合'}]
```

--------------------------------

### Initialize and Use get_gb_info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h3ru0b1tssrc.html

Demonstrates how to initialize the tqcenter library and call the `get_gb_info` function with specific parameters. The output is then printed.

```python
from tqcenter import tq
tq.initialize(__file__)
gb_info = tq.get_gb_info(stock_code = '688318.SH', date_list=['20250101','20250601'], count=2)
print(gb_info)


```

--------------------------------

### Get Formula Data Function Signature

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h3hrvkp4sc0g/mindoc-1h3httgemshno.html

This is the function signature for `formula_get_data`. It requires prior setup using `formula_set_data` or `formula_set_data_info`.

```python
    def formula_get_data(cls):


```

--------------------------------

### Get Dividend Factors Function Signature

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h10hsiat36k4.html

This is the function signature for get_divid_factors. It takes a stock code, start time, and end time as input and returns a pandas DataFrame.

```python
get_divid_factors(stock_code: str,
					start_time: str,
					end_time: str) -> pd.DataFrame:
```

--------------------------------

### Initialize and Get Convertible Bond Info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h13a594nhvb4/mindoc-1h137euvcjn98.html

Demonstrates how to initialize the tqcenter library and use the get_kzz_info function to fetch data for a specific convertible bond. The result is then printed.

```python
from tqcenter import tq
tq.initialize(__file__)
kzz_info = tq.get_kzz_info(stock_code = '123039.SZ')
print(kzz_info)


```

--------------------------------

### Install Python Libraries using pip

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1cfsjkbf8f3is/mindoc-1d00970eq1rtc.html

Installs common Python libraries using pip with a specific mirror for faster downloads. Ensure Python is added to your PATH during installation.

```bash
pip install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple
```

```bash
pip install pandas -i https://pypi.tuna.tsinghua.edu.cn/simple
```

```bash
pip install backtrader -i https://pypi.tuna.tsinghua.edu.cn/simple
```

```bash
pip install vectorbt -i https://pypi.tuna.tsinghua.edu.cn/simple
```

--------------------------------

### Example Usage of get_gb_info_by_date

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1hc4303vsv1fk.html

Demonstrates how to import the tq library, initialize it, and call the get_gb_info_by_date function with specific parameters. Requires prior download of K-line data.

```python
from tqcenter import tq
tq.initialize(__file__)
gb_info_date = tq.get_gb_info_by_date(stock_code='688318.SH', start_date='20260101', end_date='')
print(gb_info_date)

```

--------------------------------

### Initialize and Query Stock Account Asset

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h7k4iqb1grk4/mindoc-1h84fvcjulrnc.html

This snippet demonstrates how to initialize the TQCenter library, set up a stock account, and query its asset information. Ensure you have the correct account ID and type.

```python
from tqcenter import tq
tq.initialize(__file__)
myAccount = tq.stock_account(account="1190008847", account_type="STOCK")
print(myAccount)
zc_res = tq.query_stock_asset(account_id=myAccount)
print(zc_res)
```

--------------------------------

### Tongdaxin Formula Example: Draw Icons

Source: https://help.tdx.com.cn/quant/docs/markdown/gzh0122inweixinwenz

Example Tongdaxin formula to draw buy and sell signal icons on the chart based on the BUY_SIGNAL and SELL_SIGNAL variables.

```tongdaxin
{绘制交易信号图标}
DRAWICON(BUY_SIGNAL, LOW, 1);
DRAWICON(SELL_SIGNAL, HIGH, 2);
```

--------------------------------

### Initialize and Get IPO/Bond Subscription Info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h137jr3khrqo.html

This snippet shows how to initialize the tq library and use the get_ipo_info function to fetch both new stock and new bond subscription information for today and the future. The result is then printed.

```python
from tqcenter import tq
tq.initialize(__file__)
ištipo_info = tq.get_ipo_info(ipo_type=2, ipo_date=1)
print(ipo_info)
```

--------------------------------

### Tongdaxin Formula Example: MA and Signals

Source: https://help.tdx.com.cn/quant/docs/markdown/gzh0122inweixinwenz

Example Tongdaxin formula to display Moving Averages (MA5, MA10) and buy/sell signals on a chart using the SIGNALS_TQ function.

```tongdaxin
MA5:SIGNALS_TQ(1,0);        {引用ID=1的数据(MA5)}
MA10:SIGNALS_TQ(2,0);       {引用ID=2的数据(MA10)}

{交易信号}
BUY_SIGNAL:=SIGNALS_TQ(3,0); {买入信号}
SELL_SIGNAL:=SIGNALS_TQ(4,0);{卖出信号}
```

--------------------------------

### Initialize tq and get stock info

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1ctuhthaq5qmg/mindoc-1h3rtq1hij0ac.html

This snippet demonstrates how to initialize the tq library and call the get_more_info function to fetch data for a specific stock. The returned data is then printed.

```python
from tqcenter import tq
tq.initialize(__file__)
more_info = tq.get_more_info(stock_code = '688318.SH', field_list=[])
print(more_info)


```

--------------------------------

### Get All A-Share Stocks (Limited for Testing)

Source: https://help.tdx.com.cn/quant/docs/markdown/gzh0122inweixinwenz/gzh20260302wzlz.html

Fetches a list of all A-share stocks, with a limit applied for testing purposes. This is the initial step to get the universe of stocks to analyze.

```python
all_stocks = tq.get_stock_list(market='5')[:150]
```

--------------------------------

### Initialize tqcenter and Query Stock Positions

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h7k4iqb1grk4/mindoc-1h7k5ar9kc508.html

This Python snippet demonstrates how to initialize the tqcenter library, create a stock account object, and then query the stock positions for that account. It prints both the account object and the retrieved positions.

```python
from tqcenter import tq
tq.initialize(__file__)
myAccount = tq.stock_account(account="1190008847", account_type="STOCK")
print(myAccount)
stock_positions = tq.query_stock_positions(account_id=myAccount)
print(stock_positions)
```

--------------------------------

### Stock Order Cancellation Example

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-1h7k4iqb1grk4/mindoc-1h84elp5atr6o.html

Demonstrates how to initialize the tqcenter library, query existing stock orders, and then cancel a specific order using its details. Ensure you have the correct account and order information.

```python
from tqcenter import tq
from tqcenter import tqconst
tq.initialize(__file__)

myAccount = tq.stock_account(account="1190008847", account_type="STOCK")
print(myAccount)

stock_orders = tq.query_stock_orders(account_id=myAccount, stock_code="")
print(stock_orders)

cancel_res = tq.cancel_order_stock(account_id=myAccount,
                            stock_code=stock_orders[0]['Code'],
                            order_id=stock_orders[0]['Wtbh'])
print(cancel_res)

```

--------------------------------

### Add TDX Installation Directory to Python Path

Source: https://help.tdx.com.cn/quant/docs/markdown/mindoc-tdxpy.html

Add the absolute path of the TDX installation directory's PYPlugins\user to sys.path before importing tqcenter to allow running Python files from any location.

```python
import sys
sys.path.append('C:/new_tdx64/PYPlugins/user')
from tqcenter import tq
tq.initialize(__file__)

```

--------------------------------

### Tongdaxin Formula Example: Backtest Metrics

Source: https://help.tdx.com.cn/quant/docs/markdown/gzh0122inweixinwenz

Example Tongdaxin formula to display various backtesting performance metrics (open/close counts, net value, win rate, etc.) using SIGNALS_TQ.

```tongdaxin
{回测指标展示 - 这些指标会随着时间轴移动而动态变化}
开仓次数:SIGNALS_TQ(5,0),COLORRED;
平仓次数:SIGNALS_TQ(6,0),COLORGREEN;
单位净值:SIGNALS_TQ(7,0),COLORWHITE;
基准净值:SIGNALS_TQ(8,0),COLORYELLOW;
胜率:SIGNALS_TQ(9,0),COLORMAGENTA;
年化收益率:SIGNALS_TQ(10,0),COLORCYAN;
基准年化收益率:SIGNALS_TQ(11,0),COLORLIBLUE;
贝塔值:SIGNALS_TQ(12,0),COLORBROWN;
最大回撤:SIGNALS_TQ(13,0),COLORGRAY;
夏普比率:SIGNALS_TQ(14,0),COLORLIMAGENTA;
每日资金:SIGNALS_TQ(15,0),COLORLIGRAY;
持仓量:SIGNALS_TQ(16,0),COLORLIRED;  {显示每日持仓量}
```
Tokens:
Raw