scholarly journals Analisis Keakuratan Indikator Bollinger Bands Terhadap Pergerakan Harga Saham: Studi Kasus pada Saham PT Astra Agro Lestari Tbk

2014 ◽  
Vol 5 (1) ◽  
pp. 112
Author(s):  
Frankandinata Frankandinata ◽  
Yoyo Cahyadi
Keyword(s):  
Stock Price ◽  
Technical Analysis ◽  
Analytical Tool ◽  
Software Review ◽  
Moving Averages ◽  
Price Movement ◽  
Lower Band ◽  
Library Research

Technical analysis is an analytical tool to analyze price movement of an investment instrument like stock. Practically, there are a lot of indicators that can be used in technical analysis. One of them is Bolinger Bands. Bolinger Bands has 3 moving averages lines, which are Upper Band, Middle Band, and Lower Band. Study used library research and software review by analyzing the candlestick chart of stock price with ChartNexus software. The stock for this study was Astra Agro Lestari (AALI) and the period was 1 July 2010 until 31 May 2013. Results showed that Bolinger Bands gave 45 signals in the period with 75.56% accuracy.

scholarly journals A Basic Technical Analysis of Shares on the Example of a Specific Company

2021 ◽  
Vol 91 ◽  
pp. 01041
Author(s):  
Jakub Horak ◽  
Jiri Sulek
Keyword(s):  
Data Collection ◽  
Stock Price ◽  
Technical Analysis ◽  
Price Increase ◽  
Share Price ◽  
Moving Averages ◽  
Price Movement ◽  
Different Types ◽  
Trading Volumes ◽  
The Given

This paper deals with the technical analysis of The Coca-Cola Company (KO) shares. The first signal for the stock price movement was created on the basis of the intersections of moving averages, namely after intersecting the shorter average through the longer average. This signal signifies a drop in the share price. The same signal was generated after comparing the trend of the share price and the trend of the trading volumes. It is these particular trends that have a different direction. Consequently, this is an indicator for a decline in the share price. The last signal created a graphical pattern called symmetric bear triangle which also predicts a drop in the stock price. Only one indicator did not generate a signal for price increase or decrease, namely the RSI with a 14-day period. The examined data collection contains data from 2.1.2015 to 29.4.2020. At the same time, all presented results and predictions are based on the date of April 29, 2020. Finally, the use of the given indicators for different titles, assets or for different types of trade with different lengths is evaluated and proposed. The paper provides suggestions of measures for investors and speculators which should be applied before the start of the analysis.

scholarly journals Analisis Teknikal Harga Saham Waskita Karya Tahun 2017 dengan Metode ARIMA

2018 ◽  
Vol 7 (1) ◽  
pp. 122-126
Author(s):  
Wahyuni Windasari
Keyword(s):  
Key Words ◽  
Stock Prices ◽  
Stock Price ◽  
Historical Data ◽  
Arima Model ◽  
Security Analysis ◽  
Technical Analysis ◽  
Price Movement

AbstractAs an investor needs to do an analysis before making a decision either in selling or buyingshares. Security analysis consist of two types of analysis, namely tecnical analysis andfundamental analysis. Technical analysis to test wheater historical data will predict stock pricesas a consideration to buy or sell an investment's instrument. One type of technical analysis isthe ARIMA method. In this research uses daily stock price of WSKT Tbk during 1 Januari–10Oktober 2017 to predict stock prices the few days. The best ARIMA model to describe WSKTstock price movement is MA(4), with MAE predict data is 480.25.Key words : forecasting, ARIMA, technical analysis, stock prices.

scholarly journals Perancangan Aplikasi Analisis Saham Menggunakan Metode Rate Of Change

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Syahrul Anwar
Keyword(s):  
Stock Price ◽  
Technical Analysis ◽  
Rate Of Change ◽  
Analysis Method ◽  
Main Concept ◽  
Price Movement ◽  
Final Project ◽  
Stock Investment ◽  
Closing Price ◽  
The Difference

Stock is the most popular method today for investing and offers a lot of profit. The profit came from the difference between the prices when you buy it and when you sell it. Even though, the risk for investing using stock is very big. That is why stock investment must be done with correct analysis to maximize the profit and to avoid loss.One of methods for analyzing stock price movement is technical analysis. Technical analysis is a method which is based on stock price movement in the past time. One of popular technical analysis method is Rate of Change. The main concept is to compare current closing price with the closing price x-times periods ago. Using this method, stock broker will know the pace at which price is changing. Tracking the rate of the change of price can confirm trends and forewarn of market reversals. In this final project, I’ve tried to study the process of technical analysis using Rate of Change method, and then I developed software to implement this method. In the early phase, I studied some literature which is related to theories of stock market and technical analysis. After that I did some analyses which involve the analysis of how Rate of Change method works and functional specifications of the software which I would develop. Based on the results of the analysis, I did the design process. The purpose of Rate of Change test is to examine the accuracy of this method on detecting trade signals. And then this final project closed with the conclusion and suggestion for future development. Key Words:

scholarly journals Stock Price Movement through Technical Analysis: Empirical Evidence from the Information Technology (IT) Sector

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Shalini Singh ◽  
Anindita Chakraborty
Keyword(s):  
Stock Price ◽  
Moving Average ◽  
Secondary Data ◽  
Technical Analysis ◽  
Future Price ◽  
Analysis Tool ◽  
Price Movement ◽  
Technical Indicators ◽  
Share Prices ◽  
The Future

<em>Technical analysis forecasts the future asset prices with the use of their historical prices, trading volumes, market action and primarily through the uses of charts that predicts the future price trends. Technical analysis guides the investor to track the market with different indicators which is convenient for their study. Technical indicators aids to analyse the short-term price movement of the shares, most importantly it indicates the turning point and helps in projecting the price movement. This paper is prepared to employ the technical analysis tool to IT index companies. Indicators have been analysed using share prices of companies for 1 years, i.e., from January 2015- December 2015. Study is performed using secondary data, which has been collected from NSE website. The Technical Indicators used for the study are Bollinger Bands and MACD (Moving Average Convergence and Divergence). The purpose of the study is to find the best technical indicator to analyse the share prices.</em>

STOCK EVALUATION USING FUZZY LOGIC

2001 ◽  
Vol 04 (04) ◽  
pp. 585-602 ◽  
Author(s):  
HUSSEIN DOURRA ◽  
PEPE SIY
Keyword(s):  
Fuzzy Logic ◽  
Human Behavior ◽  
Stock Prices ◽  
Stock Price ◽  
Evaluation Method ◽  
Technical Analysis ◽  
Price Movement ◽  
Analysis Theory ◽  
System Output ◽  
Logic System

We use fuzzy logic engineering tools to detect human behavior in the finance arena, specifically in the technical analysis field. Since technical analysis theory consists of indicators used by experts to evaluate stock prices, the new proposed method maps these indicators into new inputs that can be fed into a fuzzy logic system. This system can create an optimum computerized model to evaluate stock price movement. This method relies on human psychology to predict human behavior when certain price movements or certain price formations occur. The success of the system is measured by comparing system output versus stock price movement. The new stock evaluation method is proven to exceed market performance and it can be an excellent tool in the technical analysis field. The flexibility of the system is also demonstrated.

scholarly journals Technical Analysis and Malaysian Banking Sector during COVID-19 Pandemic

2020 ◽  
Vol 4 (1) ◽  
pp. 41-46
Author(s):  
Kelvin Yong Ming Lee
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Banking Sector ◽  
Moving Average ◽  
Investment Decision ◽  
Movement Control ◽  
Technical Analysis ◽  
Price Movement ◽  
Technical Indicator ◽  
Control Order

The announcements of Movement Control Order and Loan Moratorium caused a significant impact on the stock prices of Malaysian banks during the COVID-19 pandemic. This study aims to investigate the effectiveness of technical analysis in predicting the stock price movement and the ability of the technical analysis in generating returns. In doing so, six moving average rules used as the proxy of technical analysis and tested in this study. Majority of the MA rules shown positive returns before the various announcements dates. Specifically, this study revealed that MA rules of (2,5) and (2,10) were among the best performing MA rules during the COVID-19 pandemic. This study also recommends the investors to use the signals emitted by the technical indicator as the reference for their investment decision in the banks’ stock.

scholarly journals Analisis Teknikal Harga Saham Waskita Karya Tahun 2017 dengan Metode ARIMA

2018 ◽  
Vol 7 (1) ◽  
pp. 80-84
Author(s):  
Wahyuni Windasari
Keyword(s):  
Key Words ◽  
Stock Prices ◽  
Stock Price ◽  
Historical Data ◽  
Arima Model ◽  
Security Analysis ◽  
Technical Analysis ◽  
Fundamental Analysis ◽  
Price Movement

As an investor needs to do an analysis before making a decision either in selling or buying shares. Security analysis consist of two types of analysis, namely tecnical analysis and fundamental analysis. Technical analysis to test wheater historical data will predict stock prices as a consideration to buy or sell an investment's instrument. One type of technical analysis is the ARIMA method. In this research uses daily stock price of WSKT Tbk during 1 Januari–10 Oktober 2017 to predict stock prices the few days. The best ARIMA model to describe WSKT stock price movement is MA(4), with MAE predict data is 480.25.Key words : forecasting, ARIMA, technical analysis, stock prices.

SELISIH BIAYA PRODUKSI SEBAGAI ALAT PENGENDALIAN MANAJEMEN PT INDO PUSAKA BERAU

2019 ◽  
Vol 3 (02) ◽  
pp. 397
Author(s):  
SAFITRI NURHIDAYATI ◽  
RIZKI AMELYA SYAM
Keyword(s):  
Raw Materials ◽  
Field Research ◽  
Analytical Tool ◽  
Production Costs ◽  
Raw Material ◽  
Labor Costs ◽  
Material Costs ◽  
Library Research ◽  
The Difference ◽  
The Cost

This study aims to analyze whether the difference that occurs in the cost of raw materials, direct labor, and factory overhead costs between the standard costs and the actual costs in PLTU LATI is a difference that is favorable or unfavorable. Data collection techniques with field research and library research. The analytical tool used is the analysis of the difference in raw material costs, the difference in direct labor costs and the difference in factory overhead costs. The hypothesis in this study is that the difference allegedly occurs in the cost of raw materials, direct labor costs, and factory overhead costs at PT Indo Pusaka Berau Tanjung Redeb is a favorable difference. The results showed that the difference in the cost of producing MWh electricity at PT Indo Pusaka Berau Tanjung Redeb in 2018, namely the difference in the price of raw material costs Rp. 548,029.80, - is favorable, the difference in quantity of raw materials is Rp. 957,216,602, - is (favorable) , the difference in direct labor costs Rp 2,602,642,084, - is (unfavorable), and the difference in factory overhead costs Rp 8,807,051,422, - is (favorable) This shows that the difference in the overall production cost budget is favorable or profitable. This beneficial difference shows that the company is really able to reduce production costs optimally in 2018.  

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