Nastavení MACD indikátoru
VPVMA
Volume profile visible range
measures a relationship between two Exponential Moving Averages - šířku pásma
proximated
MACD can be calculated by subtracting the value of a 26 period
Exponential Moving Average (EMA) from a 12 period EMA.
The shorter EMA is constantly converging toward, and diverging away from, the longer EMA
MACD
is a measure of changes in momentum between shorter-term and
longer-term price averages. The sign (positive or negative) and
magnitude or the MACD line represents the interplay between the two
underlying EMAs
The moving average convergence divergence is used to determine the strength and momentum of a trend
MACD
indicator is basically a refinement of the two moving averages system
and measures the distance between the two moving average lines
A comparative study of the MACD-base trading strategies: evidence from the US stock market
www.researchgate.net
Predicting Stock Price Trend Using MACD Optimized by Historical Volatility
VPVMA indicator
Volume Price Volume Moving Average (VPVMA)
Volume and daily Price Volatility into consideration to derive a new indicator called VPVMA
https://duckduckgo.com/?q=Volume+Price+Volume+Moving+Average+%22VPVMA%22&t=newext&atb=v349-1&ia=web
www.StockCharts.com
What is the Difference between the McClellan Oscillator and the McClellan Summation Index?
What does the MACD Histogram Measure?
VPVR indicator
- Fast Simple Moving Average (SMA)
- Fast Volume Weighted Moving Average (VWMA)
- Slow SMA -Slow VWMA Comparing SMA's and VWMA's
The volume-weighted moving average (VWMA) indicator
How Breadth Indicators Can Predict Stock Market Movement
The Complete Guide to Market Breadth Indicators: How to Analyze and Evaluate Market Direction and Strength Kindle Edition
by Gregory Morris (Author), Tom McClellan (Foreword)
CAN INDIVIDUAL INVESTORS BENEFIT FROM TECHNICAL ANALYSIS IN MARKETS OF SOFT COMMODITIES? EMPIRICAL STUDY FOR 2010–2018
June 2020Acta Scientiarum Polonorum - Oeconomia 19(2):25-32
Authors:
Anna Górska, Monika Krawiec
Warsaw University of Life Sciences - SGGW
High-Frequency Direction Forecasting and Simulation Trading of the Crude Oil Futures using Ichimoku KinkoHyo and Fuzzy Rough Set
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