scholarly journals ANALISIS TEKNIKAL DENGAN MENGGUNAKAN MOVING AVERAGE CONVERGENCE-DIVERGENCE DAN RELATIVE STRENGTH INDEX PADA SAHAM PERBANKAN

2021 ◽  
Vol 11 (1) ◽  
pp. 51-65
Author(s):  
Suryanto Suryanto
Keyword(s):  
Moving Average ◽  
Descriptive Analysis ◽  
Investment Decisions ◽  
Technical Analysis ◽  
Relative Strength ◽  
Investment Analysis ◽  
Analysis Method ◽  
Strength Index ◽  
Stock Investment ◽  
Before And After

ABSTRACT Stock investment is an investment that has a high risk. An investor needs to do an investment analysis before deciding to invest. Investment analysis can be carried out using both fundamental and technical approaches. Technical analysis is often an option because it is fast and easy to apply. This study aims to examine the level of differences in the use of technical analysis with the moving average convergence-divergence (MACD) method and the relative strength index (RSI) as a means of making stock investment decisions. The research method used in this research is the descriptive analysis method. This research was conducted on a group of banking stocks that are included in LQ45. The results showed that there was no difference between the price of the buy signal and the sell signal before and after using the MACD and RSI methods. The results also show that there is no difference between the buy signal and the sell signal between MACD and RSI. Therefore, it can be stated that for the same object and period, the MACD and RSI methods produce the same investment decisions (buy signal and sell signal). Keywords: technical analysis, MACD, RSI, buy signal, sell signal   ABSTRAK Investasi saham merupakanjenis investasi yang memiliki resiko tinggi. Seorang investor perlu melakukan analisis investasi sebelum memutuskan untuk berinvestasi. Analisis investasi dapat dilakukan dengan menggunakan pendekatan fundamental dan teknikal. Analisis teknikal seringkali menjadi pilihan karena cepat dan mudah diterapkan. Penelitian ini bertujuan untuk menguji tingkat perbedaan penggunaan analisa teknikal dengan metode moving average convergence-divergence (MACD) dan relative strength index (RSI) sebagai alat pengambilan keputusan investasi saham. Metode penelitian yang digunakan dalam penelitian ini adalah metode analisis deskriptif. Penelitian ini dilakukan pada sekelompok saham perbankan yang termasuk dalam LQ45. Hasil penelitian menunjukkan bahwa tidak ada perbedaan harga antara sinyal beli dan sinyal jual sebelum dan sesudah menggunakan metode MACD maupun RSI. Hasil penelitian juga menunjukkan bahwa tidak ada perbedaan antara sinyal beli dan sinyal jual antara MACD dan RSI. Dengan demikian dapat dikatakan bahwa untuk objek dan periode yang sama, metode MACD dan RSI menghasilkan keputusan investasi yang sama (sinyal beli dan sinyal jual). Kata kunci: analisa teknikal, MACD, RSI, sinyal beli, sinyal jual

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.

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 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 Technical Financial Analysis Tools for Stata

2017 ◽  
Vol 17 (3) ◽  
pp. 736-747 ◽  
Author(s):  
Mehmet F. Dicle ◽  
John D. Levendis
Keyword(s):  
Financial Analysis ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Analysis Tool ◽  
Investment Strategies ◽  
Moving Averages ◽  
Strength Index ◽  
Analysis Tools

In this article, we provide four financial technical analysis tools: moving averages, Bollinger bands, moving-average convergence divergence, and the relative strength index. The tftools command is used with four subcommands, each referring to a technical analysis tool: bollingerbands, macd, movingaverage, and rsi. We provide examples for each tool. tftools allows researchers to backtest their own investment strategies and will be of interest to investors, researchers, and students of finance.

scholarly journals Technical analysis on select stocks of banking sector

2016 ◽  
Vol 6 (3) ◽  
pp. 231-242
Author(s):  
Sharmila R ◽  
Kavitha R ◽  
Ananthi S
Keyword(s):  
Banking Sector ◽  
Weather Forecasting ◽  
Stock Exchange ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Rate Of Change ◽  
Strength Index ◽  
Price Movements ◽  
Over Time

Technical Analysis is the forecasting of future financial price movements based on an examination of past price movements. Like weather forecasting, technical analysis does not result in absolute predictions about the future. Instead, technical analysis can help investors anticipate what is “likely” to happen to prices over time. Technical analysis uses a wide variety of charts that show price over time. This study is based on the analysis of four Nifty Bank Index stocks namely Axis Bank, Bank of Baroda, State Bank of India and ICICI bank listed in National Stock Exchange. Technical indicators such as Relative strength index (RSI), Rate of change (ROC) and Moving Average (MA) are used in the study. This paper aims at carrying out Technical Analysis of the securities of the selectedbanking stocks and to assist investment decisions in this Indian Market.

scholarly journals Technical Analysis To Determine Buying And Selling Signal In Stock Trade

2020 ◽  
Vol 9 (1) ◽  
pp. 58-67
Author(s):  
Rommy Pramudya ◽  
Rommy Pramudya
Keyword(s):  
Moving Average ◽  
Technical Analysis ◽  
High Accuracy ◽  
Relative Strength ◽  
Strength Index ◽  
Single Indicator ◽  
The Difference ◽  
The Right ◽  
Very High

The purpose of this study is to determine which indicators are more capable of showing more accurate sell and buy signals on the LQ45 index by using the oscillator indicator Moving Average Divergent Convergent (MACD), Bollinger Band, and Relative Strength Index (RSI). The results in this study indicate that the sell signal can be captured well by the Bollinger band and MACD indicators, but it cannot be captured properly by the RSI, the volume can be small or heading and are in the side ways, while the MACD plays a too slow role in capturing the signal buy compared to Bollinger bands and RSI. The use of a single indicator will never show a buy and sell signal that is really accurate, this is based on the results of research that shows the difference in timeliness in Bollinger, RSI and also MACD so that the combination of several types of indicators will be better compared to using single indicators. Although in statistics there are no significant differences, there are only differences in increment and improvement in the placement of existing values, but in this case, the order of this value is crucial for traders because it requires very high accuracy to determine the right decision in daily transactions.

scholarly journals Use of the Black and Scholes model in the pricing of purchasing options based on the index of the Iraq Stock Exchange for the period from 6/2 to 25/2/2019

2019 ◽  
Vol 5 (2) ◽  
pp. 68
Author(s):  
Ammar Shihab Ahmed
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Exchange ◽  
Investment Decisions ◽  
Technical Analysis ◽  
Relative Strength ◽  
Financial Indicators ◽  
Strength Index ◽  
The Future ◽  
The Impact

Due to the increasing number of interested investors in the rights of options, it is necessary to highlight this section of the financial markets, and that one of the main reasons for increasing the attractiveness of investors in this type of market is the reduction of capital required to invest in it, and contribute to maximize their profitability if true (Investors 'profits are unlimited) and reduce their losses to a certain extent (investors know in advance the amount of their losses before the turnout of investment) if their expectations are unhealthy. Investors' losses are determined by the amount of the bonus they pay to the contract editor, After the pricing of the contracts of the rights of the purchase choice, they will be certain of the size of the losses they will incur if their expectations for the future are incorrect, and many techniques of technical analysis help investors to predict the future prices of securities or financial indicators. In the research is the relative strength index, and through this indicator, investors can determine whether the prices in the stock market sold at high or low prices, contributing to the impact on the value of the index of the stock market, so the prospect of the future helps investors In making their investment decisions to buy buying rights in the event of higher prices in the future. Conversely, the expectation of lower prices in the future investors are selling purchase rights rights contracts, and thus achieve profits in both cases.Keywords: Black & Schulz model, RSI, financial choice, pricing of purchase choice.

scholarly journals Analysis of Nifty Movement on Share Prices of Selected Construction Companies

2012 ◽  
Vol 1 (3) ◽  
pp. 59-65
Author(s):  
M. Gomathi ◽  
Dr.S. Nirmala
Keyword(s):  
Stock Prices ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Rate Of Change ◽  
Construction Sector ◽  
Strength Index ◽  
Share Prices ◽  
Construction Companies ◽  
Price Movements

This study aims at analyzing and predicting the price movements of construction companies stocks contributing to the NIFTY50 Index. To analyze the volatility of telecom stock and understand the behavior of stock prices in construction sector stocks i.e. (JP ASSOCIATES LIMITED, DLF LIMITED, GAMMON INDIA LIMITED, PUNJ LLOYD LIMITED, HCC LIMITED). The data for these stocks are collected from magazines, newspaper and websites. The stocks are analyzed by monitoring their respective price movements using technical tools. The technical tools used in this study are Exponential moving average, Relative strength index, Rate of change, MACD. Using these tools the trend over the recent past was deciphered. The expected trend in the immediate future was also predicted. Technical Analysis studies the price and volume movement in the market and predicts the future. It helps in identifying that the best time to buy and sell equity. Technical Analysis is a method of evaluating equities by analyzing the statistics generated by market activity, such as past prices and volume.

scholarly journals Analisis Penerapan Pajak Penghasilan Usaha Mikro Kecil dan Menengah

2019 ◽  
Vol 2 (1) ◽  
pp. 11-19
Author(s):  
Barita Sormin ◽  
Syamsuri Rahim
Keyword(s):  
Small And Medium Enterprises ◽  
Descriptive Analysis ◽  
Income Taxes ◽  
The Other ◽  
Analysis Method ◽  
Indonesian Government ◽  
Interactive Model ◽  
Model Research ◽  
Before And After ◽  
Medium Enterprises

This research aimed to: (1) To obtain and analyse application of Indonesian Government Act No. 23 of 2018 about increasing level of Micro Small and Medium Enterprises taxpayers who apply in South Makassar and North Makassar Tax Office, (2) to obtain and analyse application of Indonesian Government Act No. 23 of 2018 about contributed Micro Small and Medium Enterprises income taxes related to collection of income taxes Article 4 Section 2 in South Makassar and North Makassar Tax Office. Analysis method used in this research is descriptive analysis to describe increasing number of taxpayers before and after after application of Government Act No.23 of 2018 about collection of income taxes Article 4 Section 2. This research used descriptive analysis method with interactive model. Research shown that: (1) in South Makassar Tax Office, after application of Government Act No.23, shown increasing number of Micro Small and Medium Enterprises taxpayers for 79,61%, in the other hand, in North Makassar Tax Office, after application of Government Act No.23, shown decreasing number of Micro Small and Medium Enterprises taxpayers for -2,44%. (2) in South Makassar Tax Office, average collection of income taxes Article 4 Section 2, after 6 months since applying Government Act No. 23 of 2018, is 10,49% with the low criteria, and in North Makassar Tax Office, average collection of income taxes Article 4 Section 2, after 6 months since applying Government Act No. 23 of 2018, is 17,85% with the low criteria. In the future, government especially South Makassar and North Makassar Tax Office needs to be active and keen for holding personal socialization to the taxpayers.

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