Studies Purpose: Compare VantagePoint Trend indicators vs Single Market Moving averages Observe closely the crossover, and also the trend of 10 days predicted.

Slides:



Advertisements
Similar presentations
4/16/ Ardavan Asef-Vaziri Variable of interest Time Series Analysis.
Advertisements

Bloomberg Guido Riolo Ichimoku Kinko Hyo Focus Day Budapest, 18 th November 2010.
Saeed Ebrahimijam Spring 2013 Faculty of Business and Economics Department of Banking and Finance Doğu Akdeniz Üniversitesi FINA417.
Technical Analysis EXTRA. Support & Resistance support is the price level through which a stock or market seldom falls Resistance, on the other hand,
4-1 Operations Management Forecasting Chapter 4 - Part 2.
BY EVAN FRISCIA AND PARTH THAKKAR Introduction to Technical Analysis.
Technical Analysis Basics Analysis - Trading Alternative methods Examples Discussion.
Your First Step Intothe World Of Trading Understanding The Basics of Trading.
Forecasting 5 June Introduction What: Forecasting Techniques Where: Determine Trends Why: Make better decisions.
Linear vs. exponential growth Linear vs. exponential growth: t = 0 A = 1x(1+1) 0 = 1 A = 1x0 + 1 = 1.
Some Important Time Series Processes Fin250f: Lecture 8.3 Spring 2010.
J-term Investment Club Meeting 1 (Jan 10 th 2007) Some important things we should all know…. Conceptual Understanding of… 1.MACD 2.P/E ratio 3.PEG ratio.
Demand Forecasts The three principles of all forecasting techniques: –Forecasting is always wrong –Every forecast should include an estimate of error –The.
Grade 6 Data Management Unit
Economic$ Economic Indicators  GNP: Gross National Product (total country production) US GNP $18,000 billion  Literacy Rate: The % of Adults who can.
O.R.B.S Method Hubert Senters.
1 Using Correlated Stocks as a Leading Indicator: An Applied Pair Trading Strategy Don Bright & Darren Clifford
1 FOREX SPREADS Spreads between Forex Pairs MTA 2004 Ron Schelling.
Technical Analysis. What is technical Analysis: Try to identify trend changes at an early stage, and to maintain an investment or trading posture, until.
Sales Management Sales Forecasting Topic 13. Sales Forecasting What is it? Why do it? Qualitative vs Quantitative Goal = Accuracy Commonly Done by Marketing.
The Power of Moving Averages in Financial Markets By: Michael Viscuso.
MOVING AVERAGES. MOVING AVERAGE METHOD IS THE MOST WIDELY USED METHOD OF IDENTIFYING TREND REVERSAL SINCE THEY DO A GOOD JOB AT ROUNDING UP THE FLUCTUATIONS.
Time, Dynamics, and Uncertainty Notes and code only.
Brain Teasers  You have 8 red and 16 blue socks. There’s no light in your room, so you have to choose your socks in the dark. What’s the minimum # of.
What is a Moving Average? b Indicator that shows the average value of a security’s price over a period of time. b Used to produce buy and sell signals.
Emerging Investors Javier Hazan Sergio Kurlat Felipe Monteiro Eugen Nuri The Fuqua School of Business Duke University February 28, 2005 The Dual Simple.
Chapter 1: The Stock Market
Forecasting. 預測 (Forecasting) A Basis of Forecasting In business, forecasts are the basis for budgeting and planning for capacity, sales, production and.
Time Series and Trend Analysis
Zero and Negative Exponents
W. D. GANN The Theory of C1 & C2 Jan2016.
Observation vs. Inferences The Local Environment.
Bar Graphs Used to compare amounts, or quantities The bars provide a visual display for a quick comparison between different categories.
Demand Management and Forecasting Chapter 11 Portions Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Chapter 20 Time Series Analysis and Forecasting. Introduction Any variable that is measured over time in sequential order is called a time series. We.
Technical Analysis 2.  Recap  Gap Analysis  Practise  Chart patterns  Fibonnaci  Chart Types  Practise 2.
TAG Villanova Technical Analysis Group. VOLUME Understanding Volume  Volume is the number of shares or contracts over a given period of time, that is.
Chapter 11 – With Woodruff Modications Demand Management and Forecasting Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
1 Autocorrelation in Time Series data KNN Ch. 12 (pp )
Chapter 3 Lecture 4 Forecasting. Time Series is a sequence of measurements over time, usually obtained at equally spaced intervals – Daily – Monthly –
Forex Trendy Review Forex trading can be just too overwhelming to beginners, because you will be swarmed with various trading methods and tools. In most.
 Analysis of statistics generated by market activity such as past price and volume to come up with reasonable outcome in future using charts as a primary.
BUS 308 Week 4 DQ 1 Simple Regression Analysis Use the data in the chart to answer the questions below. The data indicates the number of “sick days” appliance.
Investment Management
Entry Task Joe scored a 79%, 81%, 93%, 63% and a 88% on his tests. What is his average test score?
By: Michael Hennessy Height vs. Shoe Size.
Villanova Technical Analysis Group
Chapter 9 Moving averages
THE SIMPLICITY OF MOVING AVERAGES
Tyler Michalove Blackpier Capital
Simple Moving averages
Online Gifts Buy for wishes happy mother's day to yours choice and with happy gifts find here:
Forecasting Methods ISAT /10/2018.
Navigational Ranges Definition
Urban Vulnerability Assessment Population Estimation
Bell Work August 17, 2017 Ask someone nearby what the five themes of geography are. Discuss with a partner the questions that are correlated directly.
SPORTS AND HOMEWORKCAN CAN YOU DO BOTH?
Chapter 9 Moving averages
Weekly Sentiment Analysis of the Euro
GROWTH factor Exponential Growth An exponential function, ,
Chapter #3 Technical Analysis
Alix Spruce, Nathan Moore,
WHY DO WE USE GRAPHS? Graphs help us visualize numerical data.
Earnings per Share (EPS)
Forecasting - Introduction
TRADE SCHOOL: Talking Volume
Monkey Bars.
Demand Management and Forecasting

Mad Day Trader Bill Davis Webinar – January 13, 2016
Presentation transcript:

Studies Purpose: Compare VantagePoint Trend indicators vs Single Market Moving averages Observe closely the crossover, and also the trend of 10 days predicted MA (VP) and the 3 days exponential (single market- blue line) (done on Genesis Trade navigator), they are more than 95-98% identical and correlated ! Also see the VP’s Predicted Medium Term Trend and Predicted Short Term Trend vs Single market’s PMTT and PSTT, they are also identical ! Question: Is Intermarket data analysis really used by VP in the 10 days Predicted Moving average ? Comments ?

Single market charts using Trade Navigator Note: Blue line is the 3 days exponential average, they are almost the same as the VP’s PMTT

Note: Blue line is the 3 days exponential average, they are almost the same as the VP’s PMTT