Dollar-cost averaging is an investment strategy where the investor purchases a fixed dollar amount of a particular investment on a regular schedule, regardless of the share price. This method reduces the impact of volatility, spreading out risk, and potentially leads to a lower average cost per share over time.
Data centers provide the necessary infrastructure for processing and storing the enormous amounts of data required by AI applications. As AI technologies advance, the demand for robust data centers increases, supporting the growth and scalability of AI solutions.
Mitigating risks involves diversifying your investment portfolio, staying informed about market trends and company movements, and considering long-term investment strategies that align with your ability to withstand short-term market fluctuations.
Key indicators include a strong track record of innovation, revenue and profit growth, strategic positioning in the AI market, and positive market forecasts. Additionally, look for companies that have robust data infrastructure and significant R&D investments in AI.