PortfolioStatistics#
tradeexecutor.state.statistics.PortfolioStatistics Python class in Trading Strategy framework.
- class PortfolioStatistics[source]#
Bases:
object
Portfolio statistics for each timepoint.
Updated with regular ticks for a live strategy.
If backtesting, only calculated_at and total_equity are necessary for later visualisations and metrics If livetrading, then all attributes should be specified so that for displaying updated metrics after each trade
- __init__(calculated_at, total_equity, free_cash=None, open_position_count=None, open_position_equity=None, frozen_position_count=None, frozen_position_equity=None, closed_position_count=None, unrealised_profit_usd=None, first_trade_at=None, last_trade_at=None, realised_profit_usd=0, summary=None)#
- Parameters:
calculated_at (datetime) –
total_equity (float) –
summary (Optional[TradeSummary]) –
- Return type:
None
Methods
__init__
(calculated_at, total_equity[, ...])from_dict
(kvs, *[, infer_missing])from_json
(s, *[, parse_float, parse_int, ...])schema
(*[, infer_missing, only, exclude, ...])to_dict
([encode_json])to_json
(*[, skipkeys, ensure_ascii, ...])Attributes
closed_position_count
first_trade_at
free_cash
frozen_position_count
frozen_position_equity
last_trade_at
open_position_count
open_position_equity
realised_profit_usd
summary
unrealised_profit_usd
Real-time clock when these stats were calculated
total_equity
- __init__(calculated_at, total_equity, free_cash=None, open_position_count=None, open_position_equity=None, frozen_position_count=None, frozen_position_equity=None, closed_position_count=None, unrealised_profit_usd=None, first_trade_at=None, last_trade_at=None, realised_profit_usd=0, summary=None)#
- Parameters:
calculated_at (datetime) –
total_equity (float) –
summary (Optional[TradeSummary]) –
- Return type:
None