Add a feature expression

Execute calculation based on expression

Start connection of a specific gateway.

Normalize an operator result to a Polars series.

Create label with certain font color.

Assert that a proxy keeps the index columns and expected values.

Convert series data to feature object

Register function

General event push.

Convert time data type

Put log event with specific message.

Assert that a proxy comparison returns Int32 data with expected values.

Get total number of bars.

Calculate the absolute value of the feature

Add app.

Initialize a dock widget.

Return gateway object by name.

Get path for icon file with ico name.

Test function

Build a DataProxy from a single value column.

Update statistics Parameters ---------- val : float Current value n : int, default 1

Normalize comparison results to an Int32 series.

Add gateway.

Return engine object by name.

Filter DataFrame based on time range

Update the x-axis range of plots.

Add function engine.

Get learning data for a specific segment

Check if the contract needs offset convert.

Create a compact deterministic dataset for DataProxy tests.

Put an event object into event queue.

Register a new handler function for a specific event type. Every function can only be registered once for each event type.

Refresh the item.

Complete binding with QR-code credentials and user ID.

Create Qt Application.

Get bar data with index.

Get contract data by vt_symbol.

Check if the order is active.

Load data from json file in temp path.

Get open price time series.

Round price to price tick value.

Save data into json file in temp path.

Send order

Cell color is set based on whether pnl is positive or negative.

Start RpcClient

Convert to pandas.Series data structure

Clear cached range data.

Create cancel request object from order.

Stop worker thread.

Get inference data for a specific segment

Get available cash

Get data object.

Load bar data

Refresh dialog widgets according to current binding state.

Update order data

Send an iLink GET request and validate the business return code.

Calculate loss value Parameters ---------- pred : torch.Tensor Model predictions target : torch.

Zoom out the chart.

Zoom in the chart.

Parse iLink response, validate HTTP status and business return code.

Send an iLink POST request and validate the business return code.

Neural network prediction function Parameters ---------- data : torch.Tensor Input data return_c

Update cursor after moved by left/right.

Update the limit of plots.

Start worker thread.

Add chart item.

Add plot area.

Add trade information

Calculate profit and loss

Make sure every gateway and app is closed properly before programme exit.

:return: (symbol, exchange)

Get all names of gateway added in main engine.

Get datetime with index.

Get path for temp file with filename.

Query current position

Get price range to show within given index range.

Get volume range to show within given index range.

Get range of y-axis with given x-axis range. If min_ix and max_ix not specified, then return range with whole data set.

Insert a new row at the top of table.

Load index component data as DataFrame

Load previous window size and state by trader path and setting name.

Move chart to the most right.

Publish data