Lam Research Corporation AI-Driven Innovation and Capital Recovery Fuel Optimism Despite Export Risks
| GLDNXDelisted Fund | USD 9.21 0.00 0.00% |
Slightly above 56% of Great Lakes' investor base is looking to short. The analysis of overall sentiment of trading Great Lakes Disciplined mutual fund suggests that many investors are alarmed at this time. Great Lakes' investing sentiment can be driven by a variety of factors including economic data, Great Lakes' earnings reports, geopolitical events, and overall market trends.
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We recently compiled a list of the 10 AI News You Cant Miss. In this article, we are going to take a look at where Lam Research Corporation stands against the other AI stocks you cant miss. According to a Department of Energy-backed study, U.S. data center power demand could nearly triple in the next
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Great Lakes Fundamental Analysis
We analyze Great Lakes' financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Great Lakes using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Great Lakes based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
One Year Return
One Year Return Comparative Analysis
Great Lakes is currently under evaluation in one year return among similar funds. One Year Return is the annualized return generated from holding a security for exactly 12 months. The measure is considered to be good short-term measures of fund performance. In other words, it represents the capital appreciation of fund investments over the last year. However when the market is volatile such as in recent years, One Year Return measure can be misleading.
Great Lakes Disciplined Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Great Lakes mutual fund to make a market-neutral strategy. Peer analysis of Great Lakes could also be used in its relative valuation, which is a method of valuing Great Lakes by comparing valuation metrics with similar companies.
Peers
Great Lakes Related Equities
| BXHCX | Barings Us | 0.25 | ||||
| MFHVX | Mesirow Financial | 0.23 | ||||
| SGYAX | Siit High | 0.14 | ||||
| ABRUX | Americafirst Monthly | 0.13 | ||||
| PHDTX | Pace High | 0.11 | ||||
| TAHFX | Transamerica High | 0.12 | ||||
| AGDZX | Ab High | 0.14 | ||||
| NEAIX | Needham Aggressive | 0.15 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Other Consideration for investing in Great Mutual Fund
If you are still planning to invest in Great Lakes Disciplined check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Great Lakes' history and understand the potential risks before investing.
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| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |