Chinese Stock Price and Volatility Predictions with Multiple Technical Indicators[J] . Shuzhi Sam Ge,Ganesh Ramakrishnan,Qin Qin,Qing-Guo Wang.Journal of Intelligent Learning Systems and Applications . 2011 (04)Q. Qin, Q.-G. Wang, S. S. Ge, G. Ramakrishnan, "Chinese stock price and ...
Momentumis the speed or velocity ofprice changesin a stock, security, or tradable instrument. Momentum shows the rate of change in price movement over a period of time to help investors determine the strength of a trend. Stocks that tend to move with the strength of momentum are called momen...
When a stock's price decreases, it affects investors in several ways. First, a decline in a stock's price directly reduces the market value of their holdings. For instance, if Apple's stock drops from $150 to $140, an investor with 100 shares loses $1,000 in market value. Price drop...
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The goal of quantitative investment task is to learn stock price related information from both social media, specifically tweets, and past stock performance indicators to predict stock trends. The direction of a stock’s movement is determined by comparing its adjusted closing prices over two consecut...
STOCK PRICE MOVEMENTS PREDICTION WITH TEXTUAL INFORMATIONStock predictiontechnical analysisfinancial text miningmachine learningWord2vecThis paper addresses the problem of predicting the direction of stock movements for Chinese stock markets. In terms of feature extraction, six technical indicators are used ...
This study aims to determine, through the panel data methodology during the period 2009 to 2013, the share prices of companies listed on the BM&FBovespa that keep some relations with some financial indicators, including earnings per share, the book value per share and total assets used as a...
Columns (1) and (2) of Table 7 show that the coefficient of ESG is significantly positive at the 1% level among firms with low human capital, but it is not statistically significant among firms with high human capital. Thus, the role of ESG performance in preventing stock price downside ...
We also apply predictive analytics to build China Tontine's daily price indicators and compare them against related drivers, such as math transform and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we ...
This article studies the usage of LSTM networks on that scenario, to predict future trends of stock prices based on the price history, alongside with technical analysis indicators. For that goal, a prediction model was built, and a series of experiments were executed and theirs results analyzed ...