Trend Forecasting with Intermarket Analysis

Trend Forecasting with Intermarket Analysis
Author: Louis B. Mendelsohn
Publisher: John Wiley & Sons
Total Pages: 171
Release: 2012-10-15
Genre: Business & Economics
ISBN: 111853865X

In this groundbreaking new edition, Mendelsohn gives you the weapon to conquer the limitations of traditional technical trading-intermarket analysis. To compete in today's rapidly changing economy, you need a method that can identify reoccurring patterns within individual financial markets and between related global markets. You need tools that lead, not lag. Step by step, Mendelsohn shows how combining technical, fundamental, and intermarket analysis into one powerful framework can give you an early edge to accurately forecasting trends. Inside, you'll discover: Precise trading strategies that can be used by both day traders and position traders. The limitations of traditional technical analysis methods-and how to overcome them. How neural network computational modeling can create leading, not lagging, moving averages for more accurate forecasting. Innovative, quantitative trend forecasting indicators at the cutting edge of market analysis. PLUS-an introduction to VantagePoint Software, which makes Mendelsohn's "new economy" trading methods work simply-and effectively. This software applies the pattern recognition capabilities of advanced neural networks to analyze intermarket data on literally hundreds of global financial markets each day.

Prediction of Stock Market Index Movements with Machine Learning

Prediction of Stock Market Index Movements with Machine Learning
Author: Nazif AYYILDIZ
Publisher: Özgür Publications
Total Pages: 121
Release: 2023-12-16
Genre: Business & Economics
ISBN: 975447821X

The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.

How can I get started Investing in the Stock Market

How can I get started Investing in the Stock Market
Author: Lokesh Badolia
Publisher: Educreation Publishing
Total Pages: 63
Release: 2016-10-27
Genre: Self-Help
ISBN:

This book is well-researched by the author, in which he has shared the experience and knowledge of some very much experienced and renowned entities from stock market. We want that everybody should have the knowledge regarding the different aspects of stock market, which would encourage people to invest and earn without any fear. This book is just a step forward toward the knowledge of market.

Integrating Technical Analysis for the Investor

Integrating Technical Analysis for the Investor
Author: BC Low
Publisher: Technical Analysis Consultancy
Total Pages: 177
Release: 2014-09-01
Genre: Business & Economics
ISBN: 9810911289

Overview : "A book on Technical Analysis written for the Investor Yes, it is possible to use technical analysis for investing, not just trading! Technical analysis has always been seen as a tool for short-term trading rather than investing. Through this book, the author will share with investors an original approach to technically define the trend for the various time frames - Daily, Weekly, Monthly and so on. The book will reveal the consistent relationship between the time frames. It explains which time frame dictates a market's behavior and shows how to invest better with the knowledge of the larger time frames. The book's second innovation is to help investors integrate technical trend, timing and price indicators for market entry and exit. This approach "integrates" signals from various technical tools rather than rely on signals from a single indicator, whether it be timing or price for entry and exit. This integrated approach has been effectively used by the author for investing for many years. Learn : • Time tested techniques to define a market's trend • To integrate trend, timing and time indicators for optimal market entry and exit in trending and non-trending market environments • About the two-way and three-way relationships between monthly, weekly and daily time frames • How to invest better with the knowledge of the relationship of multiple time frames of markets About the author BC Low (CMT) has been a teacher-cum-practitioner in Technical Analysis since the 1980s. Low has published in Technical Analysis of Stocks & Commodities in September 2010 and November 2012. He has delivered many seminars to various financial institutions in Singapore and abroad. He was the President of the Singapore Technical Analysts & Traders Society (STATS) in 2011-13. Formerly a Senior Lecturer in Singapore Polytechnic, he developed and taught two modules of Technical Analysis from 1992 to 2011. He was the technical analyst at Merrill Lynch International Bank, and currently Low is President of Technical Analysis Consultancy, Singapore. CONTENTS Foreword Chapter 1 Introduction Technical Analysis is about Probability Technical vs Fundamental Analysis Where does Technical Analysis work best? Holy Grail versus a Tool Box Integration is Key Technical Analysis is also for long-term investment Chapter 2 Forecasting Trend with Price Action Defining Trend with Price Levels Defining Trend with Selected Price Patterns Defining Trend with Selected Candlesticks Chapter 3 Forecasting Trend with 10 & 40 Exponential Moving Averages Moving Average Basics 10/40 Exponential Moving Averages Trend Signals 10/40 Exponential Moving Averages as Support/Resistance in Trending Markets 10/40 Exponential Moving Averages in Congesting Markets Chapter 4 Price Targets with Bollinger Bands Bollinger Bands Formulation Applications in a Congestion Applications in a Trending Market Applications at the End of a Trend Bollinger Bands Constraints Chapter 5 Price Targets with Fibonacci Ratios Fibonacci Basics Retracement Projections Expansion Projections Tactical Issues in Fibonacci Technique Chapter 6 Timing with Stochastics Stochastics Structure Stochastics Timing Signals in a Congestion Stochastics Buy Timing in an Uptrend Stochastics Sell Timing in a Downtrend Why do Stochastics timing signals work in trends? Stochastics Counter-trend Signals in a Trending Market Chapter 7 Timing with Moving Average Convergence Divergence (MACD) MACD Formulation MACD Trend Signal MACD Divergence Signal MACD Timing Signals MACD & Stochastics Compared Chapter 8 Integrating Trend, Timing & Price Integrating 10/40 EMA Change of trend with Price Action Integrating 10/40 EMA Change of trend with MACD Integrating 10/40 EMA with various indicators in resumption of trend Integrating Price with Stochastics in a Strong Trend Integrating Candlesticks with Bollinger Bands & Stochastics in a Congestion Chapter 9 Time Frames Technique for Long Term Investment Defining Time Frame Technique Benefits of Time Frame Technique Time Frame Principles 4 Important Time Frame Relationships Time Frame Guidelines Making the Most of Time Frames Chapter 10 Managing Positions Fear and Greed Pyramiding Lower Price Stocks Partial Exit The "Crowded Trade" Managing Long Term Positions On Following Recommendations Your Own Portfolio of Preferred Stocks An Investment Model that Suits You. Concluding Remarks

Predict Market Swings With Technical Analysis

Predict Market Swings With Technical Analysis
Author: Michael McDonald
Publisher: John Wiley & Sons
Total Pages: 218
Release: 2002-10-02
Genre: Business & Economics
ISBN: 0471271578

A fresh perspective on predicting the market The experience of Wall Street investment manager and analyst Michael McDonald offers a new perspective on how to navigate the turbulent ups and downs of the markets. His innovative approach to the stock market teaches investors how to use new investment strategies intended to replace the "buy and hold forever" strategies of yesterday. McDonald discusses what a "trading range" market is-a roller-coaster ride in which the market will neither gain nor lose much ground-and guides readers through this market with his proven investment strategies. This book provides an understandable way to make sense of the unpredictable stock market, taking into account more complex theories, including chaos and contrarian approaches. Along with his expert advice, McDonald presents four investing paradoxes that will help investors make smarter decisions now and predict where the market is heading, using his proven theories.

The Use of Technical and Fundamental Analysis in the Stock Market in Emerging and Developed Economies

The Use of Technical and Fundamental Analysis in the Stock Market in Emerging and Developed Economies
Author: Naveen B. Kumar
Publisher: Emerald Group Publishing
Total Pages: 224
Release: 2015-09-03
Genre: Business & Economics
ISBN: 178560404X

This book gives a scientific and systematic approach to trading in developing stock markets. As professional traders do not trade purely on the basis of economic fundamentals, but also take into account market movements from other factors, knowledge of technical analysis is important to anyone who would participate successfully in the stock market.

Stock Market Prediction Using Time Series Analysis

Stock Market Prediction Using Time Series Analysis
Author: Kamalakannan J
Publisher:
Total Pages: 5
Release: 2018
Genre:
ISBN:

Stock market is a market that enables seamless exchange of buying and selling of company stocks. Every Stock Exchange has their own Stock Index value. Index is the average value that is calculated by combining several stocks. This helps in representing the entire stock market and predicting the market's movement over time. The Equity market can have a profound impact on people and the country's economy as a whole. Therefore, predicting the stock trends in an effective manner can minimize the risk of investing and maximize profit. In our paper, we are using the Time Series Forecasting methodology for predicting and visualizing the predictions. Our focus for prediction will be based on the technical analysis using historic data and ARIMA Model. Autoregressive Integrated Moving Average (ARIMA) model has been used extensively in the field of finance and economics as it is known to be robust, efficient and has a strong potential for short-term share market prediction.

Time the Markets

Time the Markets
Author: Charles D. Kirkpatrick
Publisher: FT Press
Total Pages: 209
Release: 2012
Genre: Business & Economics
ISBN: 0132931931

In Time the Markets, award-winning technical analyst Charles D. Kirkpatrick applies technical analysis to key economic indicators and shows how to use them to identify market shifts, avoid loss, and become a more profitable long-term investor. Drawing on many years of publicly available data, Kirkpatrick demonstrates how to uncover powerful buy and sell signals and shows how to incorporate corporate, industry, monetary, sentiment, and market data into reliable timing indicators that can help you recognize impending stock and bond market dangers--and get out of the way. Relying primarily on proven technical analysis methods, Kirkpatrick incorporates trading system methods that have proven successful in market timing, including trend and momentum analysis, use of protective and trailing stops, and periodicity. Reflecting the latest insights into behavioral finance, he shares important new insight into measuring marketplace momentum and sentiment--helping long-term investors identify and evade the marketplace irrationalities that often cause capital loss.