The investment seeks long term capital appreciation... Show more
The Pinnacle Focused Opportunities ETF (FCUS) is an actively managed exchange-traded fund (ETF) that seeks long-term capital appreciation. Rather than tracking an index, its sub-adviser uses a proprietary model to toggle between full equity exposure and more defensive positioning in U.S. Treasury securities, cash, and bond index ETFs depending on its assessment of market conditions. The fund launched in December 2022 as a non-diversified series of Tidal Trust II and holds a concentrated portfolio of roughly 32 to 33 U.S. equities.
The portfolio leans heavily toward technology. As of recent disclosures, information technology represented approximately 74% of assets, followed by energy (about 14%), healthcare (about 10%), and basic materials (about 2%). Top holdings have included MaxLinear, Dell Technologies, Hewlett Packard Enterprise, Astera Labs, Valero Energy, HF Sinclair, Corcept Therapeutics, Marathon Petroleum, Micron Technology, and Moderna. The fund charges a 0.80% net expense ratio and exhibits high portfolio turnover, reflecting its tactical, actively traded mandate.
FCUS sits at the intersection of several structural investment themes. Its dominant technology sleeve spans semiconductor and memory names, enterprise hardware, data-center infrastructure, and software, all areas influenced by the ongoing buildout of artificial intelligence (AI) computing capacity and corporate IT spending. Memory-chip producers, storage vendors, and networking-equipment suppliers within the portfolio are sensitive to cyclical pricing and inventory dynamics, which can swing sharply between periods of shortage and oversupply.
The energy allocation, centered on refiners and midstream-adjacent operators such as Valero, Marathon Petroleum, and HF Sinclair, introduces a value and cyclical tilt tied to refining margins, crude spreads, and fuel demand. The healthcare sleeve, including biotech and diagnostics names, adds exposure to drug-development catalysts and demographic demand that can behave differently from the broader market. This blend of high-growth technology with cyclical energy and defensive healthcare gives the fund a distinct risk profile relative to cap-weighted equity benchmarks.
Over the trailing 30 days, FCUS rose approximately 5%, moving from the upper-$30s to the low-$40s per share. The advance was uneven: the fund climbed steadily from the low-$36 area in early September to a peak near $44 in early October before pulling back into the low-$40s. This pattern reflects the concentrated, high-beta nature of the portfolio, where a handful of technology positions can drive meaningful daily swings.
The trailing three-month picture shows a similar story of above-average volatility with a modest net result. After declining from the low-$40s toward roughly $32 in late July, the fund recovered through August and September and ultimately finished the period modestly higher. The rebound coincided with renewed strength across semiconductor, memory, and enterprise-technology holdings, while the energy sleeve contributed a stabilizing counterweight. Because the fund holds a focused, actively managed book, its ETF performance has been more volatile than a broad-market index fund, a characteristic investors should weigh alongside the potential for concentrated upside.
Investors seeking to move beyond a single fund's holdings can use Tickeron's AI Screener, an AI-powered stock and ETF discovery platform that helps users scan thousands of securities across technical indicators, fundamentals, volatility metrics, AI-generated signals, market trends, price patterns, and customizable filters. The tool is designed to surface trending securities, breakout candidates, and new trading opportunities more efficiently than manual screening, making it a practical complement to hands-on ETF analysis. Explore the AI Screener to build and refine watchlists tailored to your own investment themes.
Looking ahead, several structural factors are likely to shape FCUS's trajectory through 2026. The most important is the health of the technology cycle, particularly memory and storage pricing, enterprise hardware demand, and AI-related capital spending, which directly affect a large share of the fund's holdings. A sustained expansion in data-center and AI infrastructure investment would tend to support the portfolio's core, while a slowdown in IT budgets or a semiconductor inventory correction could weigh on results.
Interest-rate and inflation expectations also matter, both through the fund's technology-heavy growth exposure and its ability to shift into Treasuries and cash during periods of market stress. Energy-sector outcomes tied to refining margins and fuel demand will influence the cyclical sleeve, while regulatory and reimbursement developments remain relevant for the healthcare allocation. Finally, the fund's small asset base, high turnover, and concentrated positioning mean that liquidity, portfolio-construction changes, and single-stock moves will continue to have an outsized impact on returns. These dynamics make FCUS best suited to investors comfortable with elevated volatility and an actively managed, tactical approach rather than those seeking broad, low-cost market exposure.
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The 50-day moving average for FCUS moved below the 200-day moving average on November 06, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on FCUS as a result. In 49 of 63 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 78%.
The Moving Average Convergence Divergence Histogram (MACD) for FCUS turned negative on October 12, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 40 similar instances when the indicator turned negative. In 30 of the 40 cases the stock turned lower in the days that followed. This puts the odds of success at 75%.
FCUS moved below its 50-day moving average on October 22, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for FCUS crossed bearishly below the 50-day moving average on October 26, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 7 of 11 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 64%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FCUS declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 76%.
The Aroon Indicator for FCUS entered a downward trend on November 10, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The RSI Indicator shows that the ticker has stayed in the oversold zone for 6 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an Uptrend is expected.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 6 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +3.24% 3-day Advance, the price is estimated to grow further. Considering data from situations where FCUS advanced for three days, in 265 of 300 cases, the price rose further within the following month. The odds of a continued upward trend are 88%.
FCUS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows