Stocks to buy

Solar stocks continue to present intriguing opportunities for investors looking for growth potential. This February edition highlights three companies that stand out for their innovative approaches and strategic moves in the market. Each of these companies has demonstrated significant potential despite the challenges and volatility inherent in the solar industry. The recent headwinds battering the
The Russell 2000, an index tracking the performance of small-to-mid-cap companies, ended 2023 in better shape than when it started. In particular, Russell 2000 stocks 16.8% in 2023, below that of both the S&P 500 and Nasdaq indices, which appreciated 24.2% and 43.4%, respectively. The index had been trailing the S&P 500 and Nasdaq since then. In 2024, the Russell
Chinese stocks have struggled, as indicated by the downtrend in the Shanghai index. It’s also noteworthy that the index has remained sideways (amid volatility) in the last five years. The reasons for depressed valuations include macroeconomic challenges and geopolitical factors. However, there is no doubt that several quality stocks in the Chinese market have overreacted
The future of the U.S. economy looks promising. Recent data indicates a significant increase in productivity, reminiscent of the economic boom experienced in the mid-1990s. Technology advances and the widespread adoption of hybrid work models contribute to this positive trend. If sustained, this surge in productivity could lead to higher wages, improved company profitability and
The stock market has seen a remarkable surge in recent months, climbing 21% since the end of October. Rallies as strong as this one tend to yield several stock winners, which in this case are primarily GenAI-focused companies.  Some analysts believe this rally could extend through 2024, contingent on several key factors. One of the key
Once people are done fawning over generative AI, investors might think, “what will be the next big thing?” The field of quantum computing may be just that. Quantum computing has the potential to solve complex problems that generally slow down classical computers, such as optimization, cryptography, machine learning, and simulation. While quantum computing technology may still be