scholarly journals Forecasting Bitcoin Trends Using Algorithmic Learning Systems

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 838
Author(s):  
Gil Cohen
Keyword(s):  
Linear Regression ◽  
Efficient Market Hypothesis ◽  
Swarm Optimization ◽  
Long Period ◽  
Forecasting Methods ◽  
Price Trends ◽  
Regression Techniques ◽  
Forecasting System ◽  
Algorithmic Learning ◽  
Daily Returns

This research has examined the ability of two forecasting methods to forecast Bitcoin’s price trends. The research is based on Bitcoin—USA dollar prices from the beginning of 2012 until the end of March 2020. Such a long period of time that includes volatile periods with strong up and downtrends introduces challenges to any forecasting system. We use particle swarm optimization to find the best forecasting combinations of setups. Results show that Bitcoin’s price changes do not follow the “Random Walk” efficient market hypothesis and that both Darvas Box and Linear Regression techniques can help traders to predict the bitcoin’s price trends. We also find that both methodologies work better predicting an uptrend than a downtrend. The best setup for the Darvas Box strategy is six days of formation. A Darvas box uptrend signal was found efficient predicting four sequential daily returns while a downtrend signal faded after two days on average. The best setup for the Linear Regression model is 42 days with 1 standard deviation.

Correlation Between Gestures’ Qualitative Properties and Usa- bility metrics

2020 ◽  
Vol 64 (1) ◽  
pp. 726-730
Author(s):  
Daniela Chanci ◽  
Naveen Madapana ◽  
Glebys Gonzalez ◽  
Juan Wachs
Keyword(s):  
Linear Regression ◽  
User Satisfaction ◽  
Completion Time ◽  
User Study ◽  
Task Completion ◽  
Time Error ◽  
Qualitative Properties ◽  
Regression Techniques ◽  
Overall Efficiency ◽  
Usability Metrics

The choice of best gestures and commands for touchless interfaces is a critical step that determines the user- satisfaction and overall efficiency of surgeon computer interaction. In this regard, usability metrics such as task completion time, error rate, and memorability have a long-standing as potential entities in determining the best gesture vocabulary. In addition, some previous works concerned with this problem have utilized qualitative measures to identify the best gesture. In this work, we hypothesize that there is a correlation between the qualitative properties of gestures (v) and their usability metrics (u). Therefore, we conducted an experiment with linguists to quantify the properties of the gestures. Next, a user study was conducted with surgeons, and the usability metrics were measured. Lastly, linear and non-linear regression techniques were used to find the correlations between u and v. Results show that usability metrics are correlated with the gestures’ qualitative properties ( R2 = 0.4).

Efficient variability analysis of arithmetic units using linear regression techniques

2016 ◽  
Vol 87 (2) ◽  
pp. 249-261
Author(s):  
Dimitrios Stamoulis ◽  
Kostas Tsoumanis ◽  
Dimitrios Rodopoulos ◽  
Brett H. Meyer ◽  
Kiamal Pekmestzi ◽  
...  
Keyword(s):  
Linear Regression ◽  
Variability Analysis ◽  
Regression Techniques ◽  
Arithmetic Units

scholarly journals PENGARUH LITERASI EKONOMI SISWA, HASIL BELAJAR EKONOMI, DAN TEMAN SEBAYA TERHADAP PERILAKU KONSUMSI SISWA SMP NEGERI DI SURABAYA BARAT

2017 ◽  
Vol 5 (1) ◽  
pp. 127
Author(s):  
Endah Murniatiningsih
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Total Sample ◽  
Economic Literacy ◽  
Economic Study ◽  
Consumption Behavior ◽  
Research Population ◽  
Class Viii ◽  
Regression Techniques

This study aimed to analyze the effect of the Students Economic Literacy, the results of the economic study, and peers on consumption behavior of students of SMP Negeri Surabaya Western Conference. The research population was students of SMP Negeri 28 Surabaya class VIII as many as 369 people and students of SMP Negeri 40 Surabaya class VIII as many as 330 students, with a total sample of 254 students. The data collection techniques using questionnaires and documentation. Methods of analysis using multiple linear regression techniques. The results showed that the students economic literacy, the results of the economic study, and peer partially has a positive and significant effect on consumption behavior. The students economic literacy of students, the results of the economic study, and peer simultaneously positive significant effect on consumption behavior of students

scholarly journals Profitability Attributes and the level of Disclosure: A Study on Listed Pharmaceutical Companies of Bangladesh

2012 ◽  
Vol 1 (1) ◽  
pp. 8-15
Author(s):  
Md. Shakawat Hossain
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pharmaceutical Company ◽  
Annual Reports ◽  
Pharmaceutical Companies ◽  
Regression Techniques

The objective of the study is to examine empirically the likely association between the level of disclosure and various profitability attributes. In order to identify the determinants of disclosure, regression analysis, multiple linear regression techniques have been used. The analysis and discussion of the study have already established the fact that the extent of disclosure varies across pharmaceutical company and across various sections of pharmaceutical company annual reports. The paper has been prepared having in minded the significant corporate attributes that are significantly associated with the level of disclosure.

scholarly journals Penerapan Good School Governance (GSG) Dan Pengaruhnya Terhadap Efektifitas Pengelolaan Bantuan Operasional (BOS) Sekolah Dasar Kota Blitar

REVITALISASI ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 74
Author(s):  
Hendri Susanti
Keyword(s):  
Elementary School ◽  
Data Analysis ◽  
Linear Regression ◽  
Primary School ◽  
Multiple Linear Regression ◽  
Descriptive Analysis ◽  
School Governance ◽  
Analysis Method ◽  
Good School ◽  
Regression Techniques

This study aims to determine the effect of the application of good school governance on the effectiveness of the management of elementary school operational assistance. The method used is descriptive analysis method with a quantitative approach. The sample used saturated samples by showing all treasurers of primary school operational assistance as many as 48 people, data collected by questionnaire techniques while data analysis used multiple linear regression techniques. The results showed that participation had a positive and significant effect on the effectiveness of the management of school operational assistance, transparency had a positive and significant effect on the effectiveness of the management of school operational assistance, while accountability separately did not have a positive and significant effect on the effectiveness of the management of school operational assistance but together participation, transparency and accountability have a positive and significant effect on the effectiveness of managing school operational assistance.

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