Persist current state back to json file.

Save current window size and state by trader path and setting name.

Queue a text message for WeChat push.

Set the label expression

Set target position

Stop WeChat sending worker.

Request the worker loop to terminate at the next checkpoint.

Subscribe tick data update of a specific gateway.

Convert to polars.DataFrame data structure

Calculate the standard deviation over a rolling window

Output log message

Initialize MLP model Parameters ---------- input_size : int, default 360 Input feature dimension

Calculate feature importance Returns ------- pd.DataFrame Feature importance dataframe

Connect mouse move signal to update function.

Create the loading page.

Create the QR page.

Create the result page.

Create the status page.

Create the waiting page.

Draw picture for specific bar.

Draw the picture of item in specific range.

Evaluate current model performance Parameters ---------- train_valid_data : dict Training and validation

Get specified activation function layer Parameters ---------- name : str Activation function name

Get path where trader is running in.

Generate standard headers for an iLink POST request.

Create label objects on axis.

Create line objects.

Initialize network weight parameters Uses Kaiming initialization method for all linear layers, which is particularly suitabl

Move chart to left.

Move chart to right.

Parse sender user ID from an iLink raw message; ignore bot's own messages.

Prepare data for training and validation Parameters ---------- dataset : AlphaDataset The dataset contai

First distribute event to those handlers registered listening to this type. Then distribute event to those general handlers

Execute one training step Parameters ---------- train_valid_data : dict Training and validation data

Buy to open position

Execute calculation based on Polars expression

Callable function

Cancel all active orders

Cancel order if cell double clicked.

Cancel order

Check whether it is required to send heartbeat.

Clear text on all labels.

Buy to close position

Create order data from request.

Create test DataFrame with extreme values. Columns: datetime, vt_symbol, open, high, low, close, volume, vwap

Match limit orders

Calculate cross-sectional sum

Calculate linear decay weighted average for a series

Execute position adjustment based on targets

Show the failure reason and reset the UI for retry.

Get all active orders.

Get all app objects.

Get all bar data.

Get all contract data.

Get all exchanges.

Get default setting dict of a specific gateway.

Get number of digits after decimal point.

Get path for temp folder with folder name.

Get holding market value

Get index with datetime.

Get information text to show by cursor.

Get current signal

Query target position

Get latest market tick data by vt_symbol.

Init all engines.

Create right click menu.

Initialize table.

Load contract settings

Load credentials and user info from json file.