strategy

package
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Published: Mar 7, 2024 License: MIT Imports: 4 Imported by: 0

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Constants

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const (
	StyleBar       = "bar"
	StyleScatter   = "scatter"
	StyleLine      = "line"
	StyleHistogram = "histogram"
	StyleWaterfall = "waterfall"
)

Variables

This section is empty.

Functions

This section is empty.

Types

type ChartIndicator

type ChartIndicator struct {
	Time      []time.Time
	Metrics   []IndicatorMetric
	Overlay   bool
	GroupName string
	Warmup    int
}

type Controller

type Controller struct {
	// contains filtered or unexported fields
}

func NewStrategyController

func NewStrategyController(pair string, strategy Strategy, broker service.Broker) *Controller

func (*Controller) OnCandle

func (s *Controller) OnCandle(candle model.Candle)

func (*Controller) OnPartialCandle

func (s *Controller) OnPartialCandle(candle model.Candle)

func (*Controller) Start

func (s *Controller) Start()

type HighFrequencyStrategy

type HighFrequencyStrategy interface {
	Strategy

	// OnPartialCandle will be executed for each new partial candle, after indicators are filled.
	OnPartialCandle(df *model.Dataframe, broker service.Broker)
}

type IndicatorMetric

type IndicatorMetric struct {
	Name   string
	Color  string
	Style  MetricStyle // default: line
	Values model.Series[float64]
}

type MetricStyle

type MetricStyle string

type Strategy

type Strategy interface {
	// Timeframe is the time interval in which the strategy will be executed. eg: 1h, 1d, 1w
	Timeframe() string
	// WarmupPeriod is the necessary time to wait before executing the strategy, to load data for indicators.
	// This time is measured in the period specified in the `Timeframe` function.
	WarmupPeriod() int
	// Indicators will be executed for each new candle, in order to fill indicators before `OnCandle` function is called.
	Indicators(df *model.Dataframe) []ChartIndicator
	// OnCandle will be executed for each new candle, after indicators are filled, here you can do your trading logic.
	// OnCandle is executed after the candle close.
	OnCandle(df *model.Dataframe, broker service.Broker)
}

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