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Market sentiment, also known as investor attention, is the general prevailing attitude of investors as to anticipated price development in a market. [1] This attitude is the accumulation of a variety of fundamental and technical factors, including price history, economic reports, seasonal factors, and national and world events.
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Week to date, the broad market index dropped 1.56%, and the 30-stock Dow fell 2.37%. Meanwhile, the tech-heavy Nasdaq is 0.45% lower for the week. Markets are generally in good shape so far this year.
High valuations and extreme bullish sentiment are less about Trump and more about factors like a soft landing at AI tailwinds, Citi said.
The Smart money index (SMI) and the Smart Money Flow Index (SMFI) are both technical analysis indicators demonstrating investors' sentiment. While the SMI was invented and popularized by money manager Don Hays, the SMFI is based on Hays' SMI but uses a slightly different and proprietary formula to measure the investment behavior of institutional investors.
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The Advance-Decline data also known as AD data are calculated to show the number of advancing and declining stocks and traded volume associated with these stocks within a market index, stock market exchange or any basket of stocks with purpose of analysis of the sentiment within the analysed group of stocks.
By analyzing breaking financial news articles and focusing on specific parts of speech, portfolio selection, term weighting and even article sentiment, the AZFinText system becomes a powerful tool and is a radically different way of looking at stock market prediction.