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SGLC - ETF AI Analysis

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SGLC

SGI U.S. Large Cap Core ETF (SGLC)

Rating:75Outperform
Price Target:
SGLC, the SGI U.S. Large Cap Core ETF, earns a solid overall rating thanks to heavy exposure to high-quality tech leaders like Alphabet, Apple, Microsoft, and Nvidia, which all show strong financial performance and promising long-term growth in areas like AI, cloud, and services. These strengths are slightly tempered by holdings such as Berkshire Hathaway and Bank of America, where bearish technical signals, leverage, and cash flow concerns add some risk. The fund is also notably concentrated in large U.S. tech and growth names, so investors should be comfortable with sector and style risk tied to that part of the market.
Positive Factors
Broad Sector Diversification
The fund spreads its investments across many sectors, which can help reduce the impact if any one industry struggles.
Exposure to Leading U.S. Companies
Top holdings include many well-known, dominant U.S. large-cap companies, giving investors access to major market leaders.
Recent Short-Term Performance Momentum
The ETF has shown positive performance over the last one and three months, suggesting improving recent momentum.
Negative Factors
High Expense Ratio
The fund’s expense ratio is relatively high for an ETF, which can eat into long-term returns compared with lower-cost options.
Concentration in a Few Large Tech Names
A significant portion of the portfolio is in a handful of large technology stocks, increasing the impact if those companies perform poorly.
Weak Year-to-Date Results in Several Top Holdings
Many of the largest positions have shown weak performance so far this year, which has weighed on the fund’s overall year-to-date results.

SGLC vs. SPDR S&P 500 ETF (SPY)

SGLC Summary

The SGI U.S. Large Cap Core ETF (SGLC) is a fund that invests in many of the biggest and most established U.S. companies, without tracking a specific index but following a large-cap core theme. It spreads money across many sectors, with a big focus on technology and other major parts of the economy. Well-known holdings include Microsoft, Apple, Nvidia, Amazon, and Berkshire Hathaway. Someone might invest in SGLC for broad exposure to leading U.S. stocks and potential long-term growth in one simple fund. A key risk is that it is heavily tilted toward tech, so its price can swing with big tech stock moves.
How much will it cost me?The SGI U.S. Large Cap Core ETF (SGLC) has an expense ratio of 0.85%, which means you’ll pay $8.50 per year for every $1,000 invested. This is higher than average because the fund is actively managed, requiring more resources to select and monitor investments. It’s important to consider whether the potential benefits of active management align with your investment goals.
What would affect this ETF?The SGI U.S. Large Cap Core ETF (SGLC) could benefit from continued growth in the technology sector, which makes up a significant portion of its holdings, as well as strong performance from top companies like Nvidia, Microsoft, and Apple. However, rising interest rates or economic slowdowns could negatively impact sectors like financials and consumer cyclical, and regulatory changes targeting large tech firms could pose risks to its top holdings. Overall, the ETF's broad exposure to established U.S. companies provides stability but remains sensitive to macroeconomic and sector-specific trends.

SGLC Top 10 Holdings

SGLC is riding a classic U.S. large-cap story with a clear tech tilt, and a handful of giants steering the ship. Nvidia and Micron are the real engines right now, both rising on AI enthusiasm and strong chip demand. Apple looks steadier, but its recent gains are choppy, while Alphabet and Meta are contributing with generally positive, if sometimes mixed, momentum. On the flip side, Microsoft and Amazon have been lagging lately, quietly tugging on returns. With all holdings U.S.-based and heavily skewed to tech, the fund’s fortunes are tightly tied to Big Tech’s next move.
Name
Company Name
Weight %
Market Value
Market Cap
Yearly Gain
Overall Rating
Nvidia8.21%$16.27K$4.43T59.98%
76
Outperform
Apple7.16%$14.19K$3.89T11.21%
79
Outperform
Alphabet Class A6.05%$11.99K$3.71T83.53%
85
Outperform
Microsoft5.88%$11.65K$2.96T2.59%
79
Outperform
Amazon3.98%$7.90K$2.24T1.64%
71
Outperform
Meta Platforms3.31%$6.57K$1.65T-0.23%
76
Outperform
Regeneron2.72%$5.40K$83.59B15.47%
78
Outperform
Micron2.31%$4.57K$464.46B355.79%
79
Outperform
Berkshire Hathaway B2.28%$4.52K$1.04T-5.86%
66
Neutral
EMCOR Group2.26%$4.48K$32.77B85.93%
73
Outperform

SGLC Technical Analysis

Technical Analysis Sentiment
Neutral
Last Price
Price Trends
50DMA
39.15
Negative
100DMA
38.15
Positive
200DMA
36.36
Positive
Market Momentum
MACD
-0.05
Positive
RSI
44.70
Neutral
STOCH
8.81
Positive
Evaluating momentum and price trends is crucial in ETF analysis to make informed investment decisions. For SGLC, the sentiment is Neutral. The current price of undefined is equal to the 20-day moving average (MA) of 39.30, equal to the 50-day MA of 39.15, and equal to the 200-day MA of 36.36, indicating a neutral trend. The MACD of -0.05 indicates Positive momentum. The RSI at 44.70 is Neutral, neither overbought nor oversold. The STOCH value of 8.81 is Positive, not indicating any strong overbought or oversold conditions. Overall, these indicators collectively point to a Neutral sentiment for SGLC.

SGLC Peer Comparison

Comparison Results
Name
Price
Price Target
AUM
Expense Ratio
Overall Rating
$157.23M0.85%
75
Outperform
$884.60M0.29%
73
Outperform
$862.75M0.46%
74
Outperform
$845.44M0.35%
72
Outperform
$806.44M0.18%
73
Outperform
$789.74M0.39%
74
Outperform
Performance Comparison
Ticker
Company Name
Price
Change
% Change
SGLC
SGI U.S. Large Cap Core ETF
38.78
6.72
20.96%
NBCR
Neuberger Berman Core Equity ETF
MODL
VictoryShares WestEnd U.S. Sector ETF
BALI
BlackRock Advantage Large Cap Income ETF
DSPY
Tema S&P 500 Historical Weight ETF Strategy
LRGC
AB US Large Cap Strategic Equities ETF
Glossary
BuyAn ETF rated as a "Buy" is expected to perform better than the overall market or a specific benchmark over the near-to-medium term. This rating suggests the ETF is likely to deliver higher returns compared to other ETFs in the same sector or market index. Note: This is not investment advice; please consult a financial advisor before making investment decisions.
HoldAn ETF rated as a "Hold" s expected to perform in line with the overall market or a specific benchmark. This rating indicates that the ETF is neither particularly compelling nor unfavorable for investment. Note: This is not investment advice; please consult a financial advisor before making investment decisions.
SellAn ETF rated as a "Sell" is expected to perform worse than the overall market or a specific benchmark over the near-to-medium term. This rating suggests the ETF may deliver lower returns compared to other ETFs in the same sector or market index. Note: This is not investment advice; please consult a financial advisor before making investment decisions.

Disclaimer

This AI Analyst ETF Report is automatically generated by our AI systems using advanced algorithms and publicly available financial, technical, and market data. While the information provided aims to be accurate and insightful, it is intended for informational purposes only and should not be considered financial advice. Any content created by an AI (Artificial Intelligence) system may contain inaccuracies and/or contain errors. Investing in ETFs carries inherent risks, and past performance is not indicative of future results. This report does not account for your personal financial circumstances, objectives, or risk tolerance. Always conduct your own research or consult with a qualified financial advisor before making investment decisions. The analysis and recommendations provided are based on historical and current data and may not fully reflect future market conditions or unexpected developments. Neither the creators of this report nor its affiliated entities guarantee the accuracy, completeness, or reliability of the information presented. Use this report at your own discretion and risk.Date of analysis: ―
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