state#

API documentation for tradeexecutor.state Python module in Trading Strategy.

Module description#

Strategy execution state.

This module defines data structures used to manage the strategy execution.

The internal data is a nested tree structure starting with tradeexecutor.state.state.State root class.
The state includes portfolios, open and closed positions, trades being currently executed, deposits and withdraws, portfolio valuation events and such.
The whole state must be serialisable as JSON, so that the JavaScript clients can read it.
The same state structure is used for both backtesting (simulation) and live trading
The application also internally stores its state as a flat file on the disk, see tradeexecutor.state.store

`tradeexecutor.state.balance_update`	Balance update data.
`tradeexecutor.state.blockhain_transaction`	Tracking of blockchain transactions.
`tradeexecutor.state.generic_position`	Base class for trading and reserve positions.
`tradeexecutor.state.identifier`	Asset and trading pair identifiers.
`tradeexecutor.state.interest`	Interest tracking data structures.
`tradeexecutor.state.interest_distribution`	Distribute gained asset interest across positions holding those assets.
`tradeexecutor.state.loan`	Loan data structures.
`tradeexecutor.state.pickle_over_json`	Serialise complex Python types to JSON using pickled hex.
`tradeexecutor.state.portfolio`	Portfolio state management.
`tradeexecutor.state.position`	Trading position state info.
`tradeexecutor.state.reserve`	Strategy reserve currency management.
`tradeexecutor.state.revaluation`	Position valuation state management.
`tradeexecutor.state.sync`	"Store information about caught up chain state.
`tradeexecutor.state.trade`	Trade execution state info.
`tradeexecutor.state.trigger`	Trigger order structure.
`tradeexecutor.state.types`	Type aliases for state data structures.
`tradeexecutor.state.uptime`	Uptime statistics.
`tradeexecutor.state.valuation`	Position valuations.
`tradeexecutor.state.visualisation`	Visualisation of a strategy.