utils#

API documentation for tradeexecutor.visual.utils Python module in Trading Strategy.

Module description#

`export_trade_for_dataframe`(p, t)	Export data for a Pandas dataframe presentation.
`export_trades_as_dataframe`(portfolio, pair_id)	Convert executed trades to a dataframe, so it is easier to work with them in Plotly.
`get_all_positions`(state, pair_id)	Get all positions for a given pair
`get_all_text`(state_name, axes, title, ...)
`get_num_detached_and_names`(plots, ...[, ...])	Get num_detached_indicators and subplot_names
`get_num_detached_and_names_no_indicators`(...)	Get num_detached_indicators and subplot_names.
`get_pair_base_quote_names`(state, pair_id)	Get all positions for the trading pair we want to visualise
`get_pair_name_from_first_trade`(first_trade)
`get_start_and_end`(start_at, end_at)	Get and validate start and end timestamps
`visualise_trades`(fig, candles, trades_df[, ...])	Plot individual trades over the candlestick chart.