Survey of stock market prediction using machine learning approach
Stock market is basically nonlinear in nature and the research on stock market is one of the
most important issues in recent years. People invest in stock market based on some …
most important issues in recent years. People invest in stock market based on some …
Predicting stock price changes based on the limit order book: a survey
This survey starts with a general overview of the strategies for stock price change predictions
based on market data and in particular Limit Order Book (LOB) data. The main discussion is …
based on market data and in particular Limit Order Book (LOB) data. The main discussion is …
Software development effort estimation using regression fuzzy models
Software effort estimation plays a critical role in project management. Erroneous results may
lead to overestimating or underestimating effort, which can have catastrophic consequences …
lead to overestimating or underestimating effort, which can have catastrophic consequences …
Development and performance evaluation of FLANN based model for forecasting of stock markets
A trigonometric functional link artificial neural network (FLANN) model for short (one day) as
well as long term (one month, two months) prediction of stock price of leading stock market …
well as long term (one month, two months) prediction of stock price of leading stock market …
An adaptive forecasting approach for copper price volatility through hybrid and non-hybrid models
D García, W Kristjanpoller - Applied soft computing, 2019 - Elsevier
This article studies monthly volatility forecasting for the copper market, which is of practical
interest for various participants such as producers, consumers, governments, and investors …
interest for various participants such as producers, consumers, governments, and investors …
Commodity Price Prediction for making informed Decisions while trading using Long Short-Term Memory (LSTM) Algorithm
Commodity markets are physical or virtual marketplaces where market players meet to buy
or sell positions in commodities such as crude oil, gold, copper, silver, cotton, and wheat …
or sell positions in commodities such as crude oil, gold, copper, silver, cotton, and wheat …
[PDF][PDF] Sentiment Analysis of news headlines for stock price prediction
Stock market data analysis needs the help of artificial intelligence and data mining
techniques. The volatility of stock prices depends on gains or losses of certain companies …
techniques. The volatility of stock prices depends on gains or losses of certain companies …
[HTML][HTML] CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends
Cryptocurrencies are virtual currencies that exploit cryptography to perform secure financial
transactions. They gained widespread popularity in recent years due to their decentralized …
transactions. They gained widespread popularity in recent years due to their decentralized …
Software effort estimation by tuning COOCMO model parameters using differential evolution
Accurate estimation of software projects costs represents a challenge for many government
organizations such as the Department of Defenses (DOD) and NASA. Statistical models …
organizations such as the Department of Defenses (DOD) and NASA. Statistical models …
[PDF][PDF] An analysis on stock market prediction using data mining techniques
Stock market data analysis needs the help of artificial intelligence and data mining
techniques. The volatility of stock prices depends on gains or losses of certain companies …
techniques. The volatility of stock prices depends on gains or losses of certain companies …