state

tradeexecutor.state Python module in Trading Strategy framework.

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

For an overview, see architecture documentation.

Submodules

tradeexecutor.state.blockhain_transaction	Tracking of blockchain transactions.
tradeexecutor.state.freeze	Frozen position management.
tradeexecutor.state.identifier	Asset and trading pair identifiers.
tradeexecutor.state.metadata	Metadata describes strategy for website rendering.
tradeexecutor.state.portfolio	Portfolio state management.
tradeexecutor.state.position	Trading position state info.
tradeexecutor.state.repair	Maanually repair broken states.
tradeexecutor.state.reserve	Strategy reserve currency management.
tradeexecutor.state.revaluation	Position valuation state management.
tradeexecutor.state.state	Trade executor state.
tradeexecutor.state.statistics	Various statistics calculated across portfolios and positions.
tradeexecutor.state.store	State serialisation to disk and JavaScript clients.
tradeexecutor.state.sync	Synchrone deposits/withdrawals of the portfolio.
tradeexecutor.state.trade	Trade execution state info.
tradeexecutor.state.types	Type aliases for state data structures.
tradeexecutor.state.uptime	Uptime statistics.
tradeexecutor.state.validator	Stateful data validation.
tradeexecutor.state.visualisation	Visualisation of a strategy.