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graph LR
    Cerebro["Cerebro"]
    Strategy["Strategy"]
    Data_Feed["Data Feed"]
    Broker["Broker"]
    Indicator["Indicator"]
    Analyzer["Analyzer"]
    Cerebro -- "orchestrates" --> Strategy
    Cerebro -- "processes" --> Data_Feed
    Cerebro -- "interacts with" --> Broker
    Cerebro -- "collects results from" --> Analyzer
    Strategy -- "receives data from" --> Cerebro
    Strategy -- "places orders via" --> Broker
    Strategy -- "utilizes" --> Indicator
    Data_Feed -- "supplies data to" --> Cerebro
    Data_Feed -- "feeds" --> Indicator
    Broker -- "executes orders for" --> Strategy
    Broker -- "reports status to" --> Cerebro
    Indicator -- "processes data from" --> Data_Feed
    Indicator -- "provides signals to" --> Strategy
    Analyzer -- "collects data from" --> Cerebro
    Analyzer -- "outputs results to" --> Cerebro
    click Cerebro href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//backtrader/Cerebro.md" "Details"
    click Strategy href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//backtrader/Strategy.md" "Details"
    click Data_Feed href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//backtrader/Data_Feed.md" "Details"
    click Broker href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//backtrader/Broker.md" "Details"
    click Indicator href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//backtrader/Indicator.md" "Details"
    click Analyzer href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main//backtrader/Analyzer.md" "Details"
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Component Details

The backtrader architecture is built around a core set of components that interact to simulate or execute trading strategies.

Cerebro

The central orchestrator and execution engine of backtrader. It manages the lifecycle of all other components, including data feeds, strategies, brokers, analyzers, and observers, driving the simulation or live trading process by advancing time and coordinating interactions.

Related Classes/Methods:

Strategy

Encapsulates the user's trading logic. Users define their buy/sell rules, indicator usage, and order management within a Strategy subclass. It reacts to new market data and interacts with the Broker to place orders.

Related Classes/Methods:

Data Feed

Provides time-series market data (e.g., OHLCV bars, ticks) to Cerebro and subsequently to Strategies and Indicators. It handles loading data from various sources (CSV, Pandas DataFrames, live feeds) and manages data synchronization.

Related Classes/Methods:

Broker

Simulates or connects to a real trading account. It manages cash, portfolio value, and the execution of trading orders. It processes order requests from Strategies and notifies them of order status changes and trade executions.

Related Classes/Methods:

Indicator

Implements technical analysis calculations (e.g., Moving Averages, MACD, RSI). Indicators operate on Data Feeds or other Indicators, producing new data series that Strategies can use.

Related Classes/Methods:

Analyzer

Calculates and aggregates various performance metrics and statistics of the trading strategy during or after a backtest. Analyzers are attached to Cerebro or Strategy and process data as the simulation runs.

Related Classes/Methods: