visualise_weights#

API documentation for tradeexecutor.analysis.weights.visualise_weights Python function.

visualise_weights(weights_series, normalised=True, color_palette=['#FD3216', '#00FE35', '#6A76FC', '#FED4C4', '#FE00CE', '#0DF9FF', '#F6F926', '#FF9616', '#479B55', '#EEA6FB', '#DC587D', '#D626FF', '#6E899C', '#00B5F7', '#B68E00', '#C9FBE5', '#FF0092', '#22FFA7', '#E3EE9E', '#86CE00', '#BC7196', '#7E7DCD', '#FC6955', '#E48F72'], template='plotly_dark', include_reserves=True)[source]#

Draw a chart of weights.

Parameters:

normalised – Do 100% stacked chart over time
include_reserves – Include reserve positions like USDC in the output.
weights_series (Series) –

Returns:

Plotly chart

Return type:

Figure