Plot#

tradeexecutor.state.visualisation.Plot Python class in Trading Strategy framework.

class Plot[source]#

Bases: object

Descibe singe plot on a strategy.

Plot is usually displayed as an overlay line over the price chart. E.g. simple moving average over price candles.

__init__(name, kind, colour=None, points=<factory>, plot_shape=PlotShape.linear, detached_overlay_name=None, indicator_size=None, recording_time=RecordingTime.decision_making_time)#
Parameters:
Return type:

None

Methods

__init__(name, kind[, colour, points, ...])

add_point(timestamp, value)

from_dict(kvs, *[, infer_missing])

from_json(s, *[, parse_float, parse_int, ...])

get_entries()

Get entries as a sorted list."

get_first_entry()

Get the first entry in this plot.

get_last_entry()

Get the last entry in this plot.

get_last_value()

Assume points is an ordered dict.

schema(*[, infer_missing, only, exclude, ...])

to_dict([encode_json])

to_json(*[, skipkeys, ensure_ascii, ...])

Attributes

colour

One of Plotly colour names https://community.plotly.com/t/plotly-colours-list/11730/2

detached_overlay_name

If this plot is overlayed on top of a detached technical indicator, this is the name of the overlay it should be attached to.

indicator_size

Optional indicator to determine the size of the indicator.

plot_shape

Standard is linear.

recording_time

What is the recording time for this plot.

name

Name of this plot

kind

What kind of a plot we are drawing

points

Points of this plot.

name: str#

Name of this plot

kind: PlotKind#

What kind of a plot we are drawing

colour: Optional[str] = None#

One of Plotly colour names https://community.plotly.com/t/plotly-colours-list/11730/2

points: Dict[int, float]#

Points of this plot.

TODO: Because we cannot use datetime.datetime directly as a key in JSON, we use UNIX timestamp here to keep our state easily serialisable.

Also note that entries may not be in order - you might need to sort the output yourself.

plot_shape: Optional[PlotShape] = 'linear'#

Standard is linear. Alternative is horizontal-vertical which can be used for stop loss line. See https://plotly.com/python/line-charts/?_ga=2.83222870.1162358725.1672302619-1029023258.1667666588#interpolation-with-line-plots

detached_overlay_name: Optional[str] = None#

If this plot is overlayed on top of a detached technical indicator, this is the name of the overlay it should be attached to.

indicator_size: Optional[float] = None#

Optional indicator to determine the size of the indicator.

For a line, this is the width of the line.

For a marker, this is the size of the marker.

recording_time: RecordingTime = 'decision_making_time'#

What is the recording time for this plot.

Are we adjusted for look ahead bias or not.

get_last_value()[source]#

Assume points is an ordered dict.

Return type:

float

get_last_entry()[source]#

Get the last entry in this plot.

Returns:

timestamp, value tuple

Return type:

Tuple[datetime, float]

get_first_entry()[source]#

Get the first entry in this plot.

Returns:

timestamp, value tuple

Return type:

Tuple[datetime, float]

get_entries()[source]#

Get entries as a sorted list.”

Returns:

List[timestamp, value], oldest timestamp first

Return type:

List[Tuple[datetime, float]]

__init__(name, kind, colour=None, points=<factory>, plot_shape=PlotShape.linear, detached_overlay_name=None, indicator_size=None, recording_time=RecordingTime.decision_making_time)#
Parameters:
Return type:

None