linear

Documentation

Index

• Constants
• func CrossTrend(raw pandas.DataFrame) pandas.DataFrame
• func CurveRegression(S stat.Series, argv ...int) stat.Series
• func FindPeaks()
• func LeastSquares(x []float64, y []float64) (slope float64, intercept float64)
• func PeakDetect(vals []float64, delta float64) ([]int, []float64, []int, []float64)
• func Predict(y, slope, intercept float64) float64
• func TrendLine(raw pandas.DataFrame) pandas.DataFrame

Constants

const (
	//MaximumTrendPeriod = 144
	MaximumTrendPeriod = 89
	TrendDelta         = float64(0.0618)
)

Functions

func CrossTrend

func CrossTrend(raw pandas.DataFrame) pandas.DataFrame

CrossTrend 原则上是不抄底, 当底部上移时, 观察压力线和支撑线的相对关系

func CurveRegression

func CurveRegression(S stat.Series, argv ...int) stat.Series

CurveRegression 曲线回归

curve regression
https://blog.csdn.net/llittleSun/article/details/115045660
默认只预1个周期
argv 第一个参数为数据长度, 即周期数, 默认为S的长度

func FindPeaks

func FindPeaks()

func LeastSquares

func LeastSquares(x []float64, y []float64) (slope float64, intercept float64)

LeastSquares 最简单的最小二乘法

func PeakDetect

func PeakDetect(vals []float64, delta float64) ([]int, []float64, []int, []float64)

PeakDetect Finds the local maxima and minima ("peaks") in the vector

Returns four arrays -> min indices, min values, max indices, max values

A point is considered a maximum peak if it has the maximal
value, and was preceded (to the left) by a value lower by DELTA.

func Predict

func Predict(y, slope, intercept float64) float64

func TrendLine

func TrendLine(raw pandas.DataFrame) pandas.DataFrame

TrendLine 原则上是不抄底, 当底部上移时, 观察压力线和支撑线的相对关系