visualise_single_pair_positions_with_duration_and_slippage#
API documentation for tradeexecutor.visual.single_pair.visualise_single_pair_positions_with_duration_and_slippage Python function.
- visualise_single_pair_positions_with_duration_and_slippage(state, execution_context, candles, pair_id=None, start_at=None, end_at=None, height=800, axes=True, title=True, theme='plotly_white', technical_indicators=True, vertical_spacing=0.05, relative_sizing=None, subplot_font_size=11)[source]#
Visualise performance of a live trading strategy.
Unlike
visualise_single_pair()
attempt to visualiseposition duration, as a colored area
more position tooltip text
trade duration (started at - executed)
slippage
- Parameters:
state (State) – The recorded state of the strategy execution. Either live or backtest.
candle_universe – Price candles we used for the strategy
The visualised pair in the case the strategy contains trades for multiple pairs.
If the strategy contains trades only for one pair this is not needed.
height – Chart height in pixels
start_at (Optional[Union[Timestamp, datetime]]) – When the backtest started or when we crop the content
end_at (Optional[Union[Timestamp, datetime]]) – When the backtest ended or when we crop the content
axes – Draw axes labels
Draw the chart title.
Set to string to give your own name.
Set True to use the state name as a title. TODO: True is a legacy option and will be removed.
technical_indicators –
Extract technical indicators from the state and overlay them on the price action.
Only makes sense if the indicators were drawn against the price action of this pair.
theme – Plotly colour scheme to use
vertical_spacing – Vertical spacing between subplots
relative_sizing (list[float]) –
Optional relative sizes of each plot. Starts with first main candle plot. In this function, there is no volume plot (neither overlayed, hidden, or detached), so the first plot is the candle plot, and the rest are the technical indicator plots.
e.g. [1, 0.2, 0.3, 0.3] would mean the second plot is 20% the size of the first, and the third and fourth plots are 30% the size of the first.
subplot_font_size (int) – Font size of the subplot titles
execution_context (ExecutionContext) –
candles (DataFrame) –
- Returns:
Plotly figure
- Return type:
Figure