On April 2, 2021, the stock market remains volatile but with increasing positivity. Unlike the volatility dynamics observed in March and February 2021, (see some dynamics here: AroniSmartInvest™ in Action: Key Stocks on Wild February 23, 2021; Machine Learning, Bayesian Network, Stock Segmentation, Market Sentiment Analyses and here: AroniSmartInvest™ in Action: Key Stocks on March 3, 2021; Machine Learning, Bayesian Network, Stock Segmentation, Market Sentiment Analyses), there are major positive signs at the start of Q2 2021. It appears that the factors behind the observed volatility are becoming clearer and clearer. These factors continue to include speculative considerations on the economy, profit taking, increasing bonds prices, options trading, political negotiations, and news about some key stocks, especially those related to Electic Vehicules (EV) Technology.
Updates
AroniSmartInvest™ in Action: Key Stocks on March 3, 2021; Machine Learning, Bayesian Network, Stock Segmentation, Market Sentiment Analyses
On March 3, 2021, the stock market continues to experience volatility similar to what was observed in February 2021 (see some dynamics here: AroniSmartInvest™ in Action: Key Stocks on Wild February 23, 2021; Machine Learning, Bayesian Network, Stock Segmentation, Market Sentiment Analyses) when the stock went on unpredictable drives and experienced wild days, apparently from a mix of speculative considerations, profit taking, increasing bonds prices, options trading, political negotiations, and news about some key stocks, especially those related to Electic Vehicules (EV), Technology. Several being impacted by unexplained or somewhat speculative actions.
On March 3, the key stock market indices continued to register losses ( Dow Jones Industrial Average fell 0.4%, Nasdaq 2.7 %, S&P 500 1.3%). AroniSmart™ team, leveraging the Machine Learning, Big Data ,Bayesian Network Analysis, Neural Network Analysis, Text Analytics, and Sentiment and Valence Analysis capabilities of the new improved AroniSmartInvest™, looked at the stock performance, market sentiment index and events driving the stock market in early March 2021 ( For More on AroniSoft LLC and AroniSmart products click here).
AroniSmartInvest™ in Action: Key Stocks on Wild February 23, 2021; Machine Learning, Bayesian Network, Stock Segmentation, Market Sentiment Analyses
On February 23, 2021, the stock market went on a drive and experienced a wild day, with the stock market rally for the Nasdaq and some key stocks, related to Electic Vehicules (EV), being impacted by unexplained or somewhat speculative actions. The stocks highly impacted include Tesla (TSLA), China EV rivals Nio (NIO) and WorkHorse Group (WKHS), the Bitcoin, Upwork (UPWK), Disney (DIS), Apple (AAPL), MicroSoft (MSFT), JPMorgan Chase (JPM) and others. The Nasdaq fell more than 3% intraday, to finally rally back to a modest loss. AroniSmart™ team, leveraging the Machine Learning, Big Data ,Bayesian Network Analysis, Neural Network Analysis, Text Analytics, and Sentiment and Valence Analysis capabilities of the new improved AroniSmartInvest™, looked at the stock performance, market sentiment index and events driving the stock market in February 2021 ( For More on AroniSoft LLC and AroniSmart products click here).
AroniSmartInvest™ in Action: Identified Key Stocks in February 2021using Machine Learning, Bayesian Network, Stock Segmentation, Market Sentiment Analyses
On February 9, 2021, AroniSmart™ team, leveraging the Machine Learning, Big Data, Bayesian Network Analysis, Neural Network Analysis, Text Analytics, and Sentiment and Valence Analysis capabilities of the new improved AroniSmartInvest™, looked at the stock performance, market sentiment index and events driving the stock market in February 2021. The analysis was done in preparation of the upcoming lauch of the new improved version of AroniSmartInvest. The new version of AroniSmartInvest, soon available on Apple's App Store™, will include modules and capabilities to help users and investors to personnaly conduct such analyses. With this analysis, AroniSmart™ team highlights below the key findings on the dynamics in February 2021, Q1 2021 and most likely over the year 2021.
AroniSmartInvest™ in Action: Machine Learning, Stock Segmentation, Market Sentiment and Key Stocks in January 2021
On January 9, 2021, AroniSmart™ team, leveraging the Machine Learning, Big Data Bayesian Network Analysis, Neural Network Analysis, Text Analytics, and Sentiment and Valence Analysis capabilities of the new improved AroniSmartInvest™, looked at the stock performance, market sentiment index and events driving the stock market at the beginning of Q1 2021. The analysis was done in preparation of the upcoming lauch of the new improved version of AroniSmartInvest. The new version of AroniSmartInvest, soon available on Apple's App Store™ will include modules and capabilities to help users and investors to personnaly conduct such analyses With this analysis, AroniSmart™ team highlights below the key findings on the dynamics in Q1 2021 and most likely in the year 2021.
AroniSmartIntelligence™ in Action: Twitter (TWTR) Stock Performance Support Vector Machine and Dominance Analysis in Oct 2020
Twitter (TWTR) stock price has been on a strong momentum since the January 2020. The momentum followed a drop at the of the 2019. Year-to-date, Twitter stock price has risen by 47%. From July 2020, Twitter stock price has risen by 47%. AroniSmart™ team, leveraging the Machine Learning Time Series capabilities and Dominance Analysis of AroniSmartIntelligence™, has looked at the trends of TWTR vs other 13 companies and came up with insights and projections on the dynamics.
AroniSmartIntelligence™ in Action: Apple (AAPL) Stock Performance Support Vector Machine and Dominance Analysis
Apple Inc. (NYSE: AAPL) has delivered strong returns in 2019 and 2020. Year-to-date, Apple stock price has risen by 28%. From July 2019, Apple stock price has risen by 87%. AroniSmart™ team, leveraging the Machine Learning Time Series capabilities and Dominance Analysis of AroniSmartIntelligence™, has looked at the trends of AAPL vs other 13 companies and came up with insights and projections on the dynamics.