Gold Price Prediction using Ensemble based Machine Learning Techniques

Manjula, K; Karthikeyan, P.

doi:10.1109/icoei.2019.8862557

Cited by 32 publications

(12 citation statements)

References 8 publications

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“…In [5], gold price prediction using Ensemble Techniques was predicted for three periods (2000-2018, 2000-2011, and 2011-2018) and the accuracy for three periods was (95,97,62%). It is not stable.…”

Section: Discussionmentioning

confidence: 99%

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A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression

Kishann

Parvathy

2022

Advances in Parallel Computing Algorithms, Tools and Paradigms

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This work aims to forecast gold prices for future dates using FBprophet and Linear Regression. For predicting the gold price using Linear Regression with a sample size of 140, FBprophet for time series analysis was suggested. The Dickey-Fuller test extracts seasonality (non-stationary) data and converts it to static data. The accuracy of FBProphet is 97.2 percent, compared to 85.6 percent for linear regression. Compared to linear regression, FBProphet tends to do substantially better than linear regression, with a significance level of (p<0.05). FBProphet can help predict the percentage of gold rate with greater precision.

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Section: Discussionmentioning

confidence: 99%

“…In [5] used analysis to determine the relationship between the gold price and various factors that influence it, such as the stock market, inflation, and interest rate. The best accuracy is found in the stacking performance model in [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression

Kishann

Parvathy

2022

Advances in Parallel Computing Algorithms, Tools and Paradigms

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“…In present times, precious metals like gold area unit control with central banks of all countries to make sure re-payment of foreign debts, and conjointly to control inflation. Moreover, it conjointly reflects the Imoney strength of the country [2]. Besides government agencies, varied transnational firms and people have conjointly invested with in gold reserves.…”

Section: Abstract:-mentioning

confidence: 99%

Gold Price Prediction using Machine Learning

Gadhave¹

2022

IJSREM

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We predict future gold rates supported twenty two market variables victimization machine learning technique.One machine learning algorithm, random forest regression were used in analyzing these knowledge[1]. Historically, gold was used for supporting trade transactions around the world besides alternative modes of payment. Various states maintained and increased their gold reserves and were recognized as rich and progressive states. In present times, precious metals like gold area unit control with central banks of all countries to make sure re-payment of foreign debts, and conjointly to control inflation. Moreover, it conjointly reflects the Imoney strength of the country[2]. Besides government agencies, varied transnational firms and people have conjointly invested with in gold reserves. In ancient events of Asian countries, gold is in addition presented as gifts/souvenirs and in marriages, gold ornaments are conferred as gift in Republic of India. KEYWORDS: Price prediction, Machine Learning, Supervised Learning, Linear Regression, Python , Power Bi , Tableau.

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“…Some hybrid techniques on the forecasting of time series along with their applications for the gold rate prediction and estimation were proposed in [26] by combining ICA as well as GRUNN, respectively. Similarly, the majority of the researchers have made their investigation in gold price forecasting by using advanced ML techniques such as ensemble-based ML methods for gold price prediction [4], multiple linear regression models for predicting gold rate [17], ESMD multi-frequency grouping method for predicting gold price [28], and some other hybrid ARIMA-GARCH techniques in gold price forecasting [35], etc. Till now research is only limited to forecasting as well as prediction, but many other fields are there to perceive and make an advanced study.…”

Section: Of Arɵcles Related To Predicɵon and Forecasɵng Of Gold Pricementioning

confidence: 99%

“…For the last 10 years, the gold price is determined by features like the British pound, the frequently weakening US dollar, the worldwide credit crunch, soaring demand from institutional investors and Central Banks, political unrest, terror attacks, and many more. Similarly, there are other intelligent methods such as machine learning (ML) [2], deep learning (DL) [3], and ensemble learning (EL) [4] that can also use for forecasting gold prices to provide exact and statistically important forecasts for the gold price respectively. ML is a kind of artificial intelligence (AI) that permits applications of software to become more precise at predicting results.…”

Section: Introductionmentioning

confidence: 99%

Gold Price Forecasting Using Machine Learning Techniques: Review of a Decade

Das

Nayak

Rao

et al. 2021

Advances in Intelligent Systems and Computing

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Price of the gold plays a major role in monetary as well as financial systems. Prediction and forecasting the upcoming tendency of gold prices and other valuable metals will be helpful for investors and money managers to evade choosing when to supply this commodity. Central banks throughout the globe uphold gold reserves to assure the currency holders, the money of their shareholders, and foreigndebt creditors. They also utilize the gold treasury as a means to manage inflation and toughen their country's economic standing. During this procedure, the prediction of the gold rate has become the biggest issue now a days. So, various methods, especially intelligent techniques, have played a vital role in predicting gold prices. Moreover, a comparative investigation on the impact of machine learning (ML) algorithms such as support vector machine (SVM), random forest (RF), linear regression (LR), decision tree (DT), and other hybrid methods for gold price forecasting has been made. Some significant research directions for additional research on gold price prediction are highlighted which may assist the researchers to widen proficient intelligent techniques for the prediction of gold rate.

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Gold Price Prediction using Ensemble based Machine Learning Techniques

Cited by 32 publications

References 8 publications

A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression

A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression

Gold Price Prediction using Machine Learning

Gold Price Forecasting Using Machine Learning Techniques: Review of a Decade

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