real = LINEARREG(close, timeperiod=14) LINEARREG_ANGLE - Linear Regression Angle real = LINEARREG_ANGLE(close, timeperiod=14) LINEARREG_INTERCEPT - Linear Regression Intercept real = LINEARREG_INTERCEPT(close, timeperiod=14) LINEARREG_SLOPE - Linear Regression Slope real = LINEARREG_SLOPE(cl...
LINEARREG_INTERCEPT :线性回归截距 # real = LINEARREG_INTERCEPT(close, timeperiod=14) LINEARREG_INTERCEPT = talib.LINEARREG_INTERCEPT(close, timeperiod=14) # 6.LINEARREG_SLOPE:线性回归斜率指标 # real = LINEARREG_SLOPE(close, timeperiod=14) LINEARREG_SLOPE = talib.LINEARREG_SLOPE(close, time...
real = ta.LINEARREG_ANGLE(close, timeperiod=14) axes[1].plot(real, 'r-') elif statistic == '线性回归截距': real = ta.LINEARREG_INTERCEPT(close, timeperiod=14) axes[1].plot(real, 'r-') elif statistic == '线性回归斜率': real = ta.LINEARREG_SLOPE(close, timeperiod=14) axes[1...
real = ta.LINEARREG(close, timeperiod=14) axes[1].plot(real, '') elif statistic == '线性回归角度': real = ta.LINEARREG_ANGLE(close, timeperiod=14) axes[1].plot(real, '') elif statistic == '线性回归截距': real = ta.LINEARREG_INTERCEPT(close, timeperiod=14) axes[1].plot(real...
函数名:LINEARREG_ANGLE 名称:Linear Regression Angle 线性回归的角度 简介:来确定价格的角度变化.real = LINEARREG_ANGLE(close, timeperiod=14) 1(5)LINEARREG_INTERCEPT - Linear Regression Intercept 线性回归截距 函数名:LINEARREG_INTERCEPT 名称: Linear Regression Intercept 线性回归截距real = LINEARREG_I...
LINEARREG_INTERCEPT — Linear Regression InterceptLINEARREG_SLOPE — Linear Regression SlopeSTDDEV — Standard DeviationTSF — Time Series ForecastVAR — Variance 数学变换ACOS — Vector Trigonometric ACosASIN — Vector Trigonometric ASinATAN — Vector Trigonometric ATanCEIL — Vector CeilCOS — Vector ...
LINEARREG_INTERCEPT LINEARREG_SLOPE STDDEV TSF VAR ATR NATR TRANGE AD ADOSC OBV 5.2 获取按功能分类后的函数列表 #按功能种类获取函数 dt = ta.get_function_groups() for (k,v) in dt println("===$(k)===") v .|> println end 结果...
量化⼯具TA-Lib使⽤例⼦转发⾃：http://30daydo.com/article/196 TA-Lib主要⽤来计算⼀些股市中常见的指标。⽐如MACD，BOLL，均线等参数。#-*-coding=utf-8-*- import Tkinter as tk from Tkinter import * import ttk import matplotlib.pyplot as plt import numpy as np import talib as ta...
* TA_LINEARREG_INTERCEPT: Returns 'b' * TA_TSF : Returns b+m*(period) */ Collaborator mrjbq7 commented Jan 26, 2019 You can use other numerical libraries for that. This python project just wraps the available functionality in the underlying TA-Lib project. Schrominger closed this as ...
linearreg_interceptlinearreg_intercept(close, timePeriod)Linear Regression Intercept linearreg_slopelinearreg_slope(close, timePeriod)Linear Regression Slope stdDevstdDev(close, timePeriod, nbdev)Standard Deviation tsftsf(close, timePeriod)Time Series Forecast ...