Bases: BarReceived
Event representing a market data bar with computed indicator values.
This event extends BarReceived by attaching indicator values derived from the bar data.
| Field |
Type |
Semantics |
ts_event_ns |
int |
Time at which the bar was observed by the system, as UTC epoch nanoseconds. |
ts_created_ns |
int |
Time at which the event object was created, as UTC epoch nanoseconds. |
symbol |
str |
Identifier of the traded instrument. |
bar_period |
models.data.BarPeriod |
Time interval represented by the bar. |
open |
float |
Opening price of the bar period. |
high |
float |
Highest traded price during the bar period. |
low |
float |
Lowest traded price during the bar period. |
close |
float |
Closing price of the bar period. |
volume |
int or None |
Traded volume during the bar period, if available. |
indicators |
dict[str, float] |
Mapping of indicator names to computed indicator values. |
Source code in src/onesecondtrader/events/market/bar_processed.py
| @dataclasses.dataclass(kw_only=True, frozen=True)
class BarProcessed(BarReceived):
"""
Event representing a market data bar with computed indicator values.
This event extends `BarReceived` by attaching indicator values derived from the bar data.
| Field | Type | Semantics |
|-----------------|-------------------------|----------------------------------------------------------------------------|
| `ts_event_ns` | `int` | Time at which the bar was observed by the system, as UTC epoch nanoseconds.|
| `ts_created_ns` | `int` | Time at which the event object was created, as UTC epoch nanoseconds. |
| `symbol` | `str` | Identifier of the traded instrument. |
| `bar_period` | `models.data.BarPeriod` | Time interval represented by the bar. |
| `open` | `float` | Opening price of the bar period. |
| `high` | `float` | Highest traded price during the bar period. |
| `low` | `float` | Lowest traded price during the bar period. |
| `close` | `float` | Closing price of the bar period. |
| `volume` | `int` or `None` | Traded volume during the bar period, if available. |
| `indicators` | `dict[str, float]` | Mapping of indicator names to computed indicator values. |
"""
indicators: dict[str, float] = dataclasses.field(default_factory=dict)
|