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network: "The network hierarchy contains definitions regarding the physical location in which certain nodes live or function. For instance, a certain process my run and store data in your local machine, or in some other machine in the network."
network_node: "A network node represents a machine in the network on which processes run or data is stored."
task_manager: "A task manager is a device used to organize and control any number of tasks."
task: "A task is a device used to control bot instances."
indicator_bot_instance: "An indicator bot instance is a reference to an indicator bot as defined in a data mine. The instance of the bot runs the defined processes and generates the defined data products."
indicator_process_instance: "An indicator process instance is a reference to the process definition of an indicator bot, as defined in a data mine."
sensor_bot_instance: "A sensor bot instance is a reference to a sensor bot as defined in a data mine. The instance of the bot runs the defined processes and generates the defined data products."
sensor_process_instance: "A sensor process instance is a reference to the process definition of a sensor bot, as defined in a data mine."
market_reference: "A market reference is a reference to a specific market in a specific exchange, as defined in the Crypto Ecosystem hierarchy. The reference dictates which market the process works with."
trading_bot_instance: "A trading bot instance is a reference to the trading bot as defined in the Masters data mine. The instance of the bot runs the defined processes and generates the defined data products."
trading_process_instance: "A trading process instance is a reference to the process definition of the trading bot, as defined in the Masters data mine."
backtesting_session: "A backtesting session is a trading mode by which the trading bot instance reads historic market data in a user-defined datetime range, applies the rules defined in the associated trading system, and generates a trading simulation."
paper_trading_session: "A paper trading session is a trading mode by which the trading bot instance reads a live market data feed, applies the rules defined in the associated trading system, and generates a trading simulation."
forward_testing_session: "A forward testing session is a trading mode by which the trading bot instance performs live trading with a user-defined fraction of the available capital."
live_trading_session: "A live trading session is a trading mode by which the trading bot instance reads a live market data feed, applies the rules as defined in the associated trading system, places the corresponding orders at the associated exchange, and stores the defined data products."
key_instance: "The key instance is a reference to an exchange account key as defined in a specific user account, in a specific exchange, on the Crypto Ecosystem hierarchy."
data_storage: "The data storage node controls aspects of what data is to be stored in the corresponding network node."
session-based_data: "Session-based data refers to data that is generated as a consequence of running a session, that is, data the trading bot instance generates while running backtesting, paper trading, forward testing or live trading sessions."
session_reference: "A session reference establishes which session is the one which shall store data in the current location."
single_market_data: "Single market data represents the group of data products generated by the referenced session, in a specific market."
data_product: "A data product represents the collection of datasets generated by the instance of a bot as defined in the corresponding data mine."
dataset: "A data set is a collection of files stored in the designated location, as per the definitions on the referenced data product in the corresponding data mine."
session-independent_data: "Session independent data refers to data generated by sensors and indicators, not related to trading sessions."