Relative Strength Index and Time-Segmented Volume

2015 ◽  
pp. 69-75
Keyword(s):  
Relative Strength ◽  
Strength Index ◽  
Segmented Volume

A Study On Technical Analysis With Reference To International Forex

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1129-1144
Author(s):  
Bichith C. Sekhar ◽  
A. Umamaheswari
Keyword(s):  
Foreign Exchange ◽  
Abnormal Return ◽  
Foreign Exchange Market ◽  
Relative Strength ◽  
Exchange Market ◽  
Strength Index ◽  
Technical Tool ◽  
Alpha Beta ◽  
Decentralized Market ◽  
Currency Conversion

The foreign exchange market (Forex, FX, or currency market) is a global decentralized market for the trading of currencies. The foreign exchange market assists international trade and investments by enabling currency conversion. Our study is to test the technical tools to analyze about the technical impact and its return in the market.  For this purpose 13 cross currency pairs were taken as sample size and Jensen’s Alpha, Beta, Relative Strength Index, and Buy and Hold Abnormal Return were used as technical tool for analysis and the conclusion is that it’s not preferred to invest in JPY pairs as the volatility and the return are not up to the mark and its preferred to invest in EURCAD as the return was high when compared to other scripts and the market was moving accordingly to its cross currency pair.

MOMENTUM OSCILLATORS - A TOOL TO PREDICT STOCK PRICE BEHAVIOUR

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Shishir Kumar Gujrati
Keyword(s):  
Stock Price ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Future Price ◽  
Range Data ◽  
Strength Index ◽  
Price Trends ◽  
Past Data ◽  
Price Movements

Stock markets are always taken as the barometer of the economy. The price movement of their indices reflects every ups and downs of the economy. Although seem to be random, these price movements do follow a certain track which can be identified using appropriate tool over long range data. One such method is of Technical Analysis wherein future price trends are forecasted using past data. Momentum Oscillators are the important tools of technical analysis. The current paper aims to identify the previous price movements of sensex by using Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) tools and also aims to check whether these tools are appropriate in forecasting the price trends or not.

scholarly journals Analysis Relative Strength Index and Earning Per Share on Stock Price

2019 ◽  
pp. 1-9
Author(s):  
Jajang Badruzaman
Keyword(s):  
Research Design ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Relative Strength ◽  
Quantitative Approach ◽  
Significant Positive Effect ◽  
Strength Index ◽  
Positive Effect

This study aims to determine the effect of the Relative Strength Index and Earnig Per Share on Stock Prices. The research design used is a quantitative approach with a population of all companies in the Jakarta Islamic Index (JII) category listed on the Indonesia Stock Exchange for the 2013-2016 periods. The sampling technique used was purposive sampling. Based on the criteria set, 13 companies were obtained. The results showed that the Relative Strength Index and Earnig Per Share had a significant positive effect on Stock Prices in the Jakarta Islamic Index (JII) company on the Indonesia Stock Exchange for the Period 2013-2016.

Candle charts for financial technical analysis

2019 ◽  
Vol 19 (1) ◽  
pp. 200-209 ◽  
Author(s):  
Mehmet F. Dicle
Keyword(s):  
Moving Average ◽  
Visual Representations ◽  
Technical Analysis ◽  
Relative Strength ◽  
Financial Industry ◽  
Strength Index ◽  
Research And Teaching ◽  
Industry Research ◽  
The Individual

Technical analysis is an important part of financial industry, research, and teaching. The methodology has two parts: i) calculation of the individual tools and ii) visual representations. In this article, I provide a community-contributed command, candlechart, to draw the most common technical analysis charts. My intent is to draw these charts similarly to industry examples. The popular candle price chart is combined with charts for volume, moving-average convergence divergence, relative strength index, and Bollinger bands.

scholarly journals Web-Based Decision Support Systems Application of Stock Recommendation Using Bayesian Methods

Jurnal INKOM ◽  
2014 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Nina Sevani ◽  
Maria Ariesta
Keyword(s):  
Bayesian Methods ◽  
Moving Average ◽  
Relative Strength ◽  
Strength Index ◽  
Web Based ◽  
Maximum Profit ◽  
Stock Recommendation ◽  
Collection Data ◽  
The Right ◽  
Stock Transaction

We propose an application that can support traders by providing recommendation about the right stock transaction. The expected impact from this application is to reduce the risk of loss, even achieve the maximum profit for traders who use this application. Recommendation that resulted by application is based on Bayesian methods calculation and four technical analysis indicators that most commonly used by stock experts, i.e. Bollinger Bands, Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and Stochastic Oscillator. Methodology used in this paper consists of data collection, data analysisa, application design, implementation, and testing. From the results of application testing, the accuracy of the application is 87,37%.

scholarly journals Optimization of investment management in Warsaw stock market

2014 ◽  
Vol 15 (2) ◽  
pp. 143-156 ◽  
Author(s):  
Maciej Janowicz ◽  
Arkadiusz Orłowski ◽  
Franciszek Michał Warzyński
Keyword(s):  
Stock Market ◽  
Time Perspective ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Optimal Management ◽  
Brute Force ◽  
Exchange Market ◽  
Strength Index ◽  
Optimal Values

Abstract Application of simple prescriptions of technical analysis on the Warsaw Exchange Market (GPW) has been analyzed using several stocks belonging to WIG20 group as examples. Only long positions have been considered. Three well-known technical-analysis indicators of the market have been investigated: the Donchian channels, the Relative Strength Index, and Moving Average Convergence-Divergence indicator. Optimal values of parameters of those indicators have been found by „brute force“ evaluation of (linear) returns. It has been found that trading based on both Donchian channels and Relative Strength Index easily outperform the „buy and hold“ strategy if supplied with optimal values of parameters. However, those optimal values are by now means universal in the sense that they depend on particular stocks, and are functions of time. The optimal management of capital in the stock market strongly depends on the time perspective of trading. Finally, it has been argued that the criticism of technical analysis which is often delivered by academic quantitative financial science is unjustified as based of false premises.

scholarly journals Effectiveness of Technical Analysis Signals Around the Earning Announcements in Malaysian Stock Market

2018 ◽  
Vol 7 (3.21) ◽  
pp. 109
Author(s):  
Kelvin Lee Yong Ming ◽  
Mohamad Jais
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Kuala Lumpur ◽  
Earning Announcement ◽  
Strength Index ◽  
Corporate Announcements ◽  
Technical Indicator

Technical analysis is an analysis that widely applied by the investor in the stock market. However, various corporate announcements could cause the market to react, and the most significant corporate announcement is the earnings announcement (1). Thus, this study examines the effectiveness of technical analysis signals around the earning announcements dates in Malaysian stock market. In doing so, this study applied and tested four technical indicators, namely Simple Moving Average (SMA), Relative Strength Index (RSI), Stochastic (K line), and Moving Average Convergence/Divergence (MACD) in Malaysian stock market. The sample of this study consisted of 30 largest capitalization companies from the main market of Kuala Lumpur Stock Exchange (KLSE). Meanwhile, the sample period covered from 2nd January 2014 to 31st March 2016. This study found that Moving Average Convergence/Divergence (MACD) significantly produced higher returns as compared to the other technical indicator before the earning announcement dates in financial year 2014 and 2015. The combined indicator of MA-MACD also found to have higher return in financial year 2015. The findings conclude that the technical analysis signals can be used to generate returns before earning announcement dates.  

scholarly journals A Research on Trading of Sensex Stocks by using RSI

2019 ◽  
Vol 8 (9S2) ◽  
pp. 14-22
Keyword(s):  
Technical Analysis ◽  
Relative Strength ◽  
Strength Index ◽  
Data Set ◽  
Daily Data

This study has the aim of doing advanced research on technical analysis by finding reliability of buy or sell signals generated by the Relative Strength Index tool. In this study, the RSI tool is tested on Sensex components (30 stocks) for the last six months. The data set for this study had been the daily data, taken from NSE and BSE website. The study compares the return from RSI recommendations and simple buy and hold strategy returns. The study also aims at testing the RSI tool for its probability of generating false buy sell signals. The findings of this study clearly indicate that RSI can be a powerful tool in the markets over buy and hold strategy. The study also makes it clear that the probabilities of false signals are also limited.

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