Metal Sky Star Acquisition Corporation - Right 株価情報 (NASDAQ: MSSAR)

最新ニュース Metal Sky Star Acquisition Corporation - Right (NASDAQ:MSSAR) 株価情報

Metal Sky Star Acquisition Corporation - Right

Needham analyst Laura Martin reiterates Viant Technology (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/DSP#NASDAQ">DSP</a>) with a Buy and maintains $21 price target.

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Needham Reiterates Buy on Viant Technology, Maintains $21 Price Target

In this article, we explore the development of a systematic trading strategy for coffee futures (@KC), which are traded on the Intercontinental Exchange (ICE) in New York. Our goal is to diversify a trading portfolio by incorporating lesser-known assets compared to more commonly traded futures.
Coffee futures belong to a category known as "soft commodities," which also includes futures contracts for sugar, cocoa, cotton, and orange juice. This market offers several appealing characteristics, including significant intraday volatility, a low correlation with equity futures, and decent trading volumes.
To analyze this market, we employ a Trend-Following approach, a strategy that has historically performed well across various commodity markets. Our objective is to determine whether this approach is equally effective for trading coffee futures.
<h2 class="wp-block-heading">Logic and Code Behind a Trend-Following Strategy for Coffee Futures</h2>
The strategy we aim to develop follows a Trend-Following approach, based on the breakout of significant highs and lows.
Specifically, the system enters a long position when the price surpasses the highest high recorded over a given number of sessions, defined as Highest(High, n_sessions). Conversely, it enters a short position when the price breaks below the lowest low over a set number of sessions, denoted as Lowest(Low, n_sessions).
The system remains active throughout the entire trading session of Coffee futures, which runs from 4:15 AM to 1:30 PM (exchange time), Monday through Friday. Entries and exits occur within the same trading day, meaning that all positions are closed by the end of the session unless the stop loss is triggered earlier. For this initial analysis, we set the Stop Loss at $1,500.
We evaluate the performance of our trading system in a 15-minute timeframe (data1) for trade execution and a daily timeframe (data2) for calculating entry levels, with historical data spanning from early 2010 to the end of 2023.
This concept translates into a few concise lines of code:
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow"><div class="wp-block-group is-layout-constrained wp-block-group-is-layout-constrained">
input:n_sessioni(5),mystop(1000),myprofit(0);
if EntriesToday(d)=0 then Buy next&nbsp; bar at Highest(High,n_sessioni)data2 stop;
if EntriesToday(d)=0 then Sellshort next bar at Lowest(Low,n_sessioni)data2 stop;
if mystop&gt;0 then setstoploss(mystop);
if myprofit&gt;0 then setprofittarget(myprofit);
setstopcontract;
setexitonclose;
</div>
</blockquote>
The first step in refining the strategy involves optimizing the number of sessions ("n_sessions") used to calculate breakout levels. To do this, we test values from 1 to 10 in increments of 1 and evaluate the impact on performance.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="154" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image.jpg" alt="" class="wp-image-9723" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-300x66.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 1 – Optimization of the "n_sessions" input to identify the optimal number of sessions for calculating highs and lows.
The optimization reveals that as the number of sessions increases, net profit and overall performance metrics tend to deteriorate, except for maximum drawdown, which remains relatively stable. Based on this analysis, we select n_sessions = 2, meaning that our entry levels are calculated based on the past two sessions&#8217; highs and lows. A breakout of these levels triggers a position entry.
Examining the results from our first test, we observe a profitable and steadily growing equity curve, confirming that Coffee futures respond well to Trend-Following logic. While further refinements will be necessary, the initial results are promising, with an average trade of $62 and a net profit of $151,000. Not bad for an early-stage system without any additional filtering or optimizations!
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="143" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-3.jpg" alt="" class="wp-image-9725" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-3.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-3-300x62.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 2 – Detailed equity curve of the Trend Following strategy on Coffee futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="630" height="432" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1.jpg" alt="" class="wp-image-9724" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1.jpg 630w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1-300x127.jpg 300w" sizes="(max-width: 630px) 100vw, 630px" /></figure>
Figure 3 – Strategy Performance Summary and Total Trade Analysis of the Trend Following strategy on Coffee futures.
To refine our Trend-Following trading system, the first step is to analyze whether adjusting the operational time window—rather than running the system for the full trading session—can lead to improved performance.
We modify the code by introducing a custom function and incorporating two new input parameters: "MyStartTrade" and "MyEndTrade", which specify the time window in which trades are allowed. We then proceed to optimize these parameters.
<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow"><div class="wp-block-group is-layout-constrained wp-block-group-is-layout-constrained">
var:istartofsession(false);
istartofsession=_OHLCMulti5(0415,1330,ohlcvalues);
array:ohlcValues[23](0);
input: stoploss(1500), takeprofit(0);
input: MyStartTrade(415),MyEndTrade(1330);
input: n_sessioni(2);
//ingressi
if tw(MyStartTrade,MyEndTrade)
and EntriesToday(d)=0
then begin
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Buy next&nbsp; bar at Highest(High,n_sessioni)data2 stop;
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sellshort next bar at lowest(Low,n_sessioni)data2 stop;
end;
if stoploss&gt;0 then setstoploss(stoploss);
if takeprofit&gt;0 then setprofittarget(takeprofit);
setstopcontract;
setexitonclose;
</div>
</blockquote>
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="141" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-2.jpg" alt="" class="wp-image-9726" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-2.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-2-300x61.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 4 – Optimization of the "MyStartTrade" input to determine the best time to start trading.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="143" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-3.jpg" alt="" class="wp-image-9728" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-3.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-3-300x62.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 5 – Optimization of the "MyEndTrade" input to determine the best time to stop trading.
The optimization results indicate that shortening the trading window improves overall system performance. Specifically, adjusting the start time to 5:00 AM and the end time to 12:00 PM leads to a clear reduction in maximum drawdown from over $25,000 to less than $20,000.
This improvement likely occurs because early trading movements (immediately after the market opens) tend to be erratic and lack clear direction, while opening new trades after a certain time of the day makes little sense since all positions are closed by the end of the day.
<h2 class="wp-block-heading">Enhancing Performance: Implementing a Price Pattern Filter</h2>
To further refine our Trend-Following strategy, we now focus on one of the most crucial metrics for real-world trading: average trade value. For our system to be viable in live trading, this metric must be high enough to cover operational costs such as commissions and slippage. This is particularly relevant in the case of coffee futures, where each tick has a relatively high value of $18.75.
One possible enhancement is the addition of a filter based on the &#8220;Daily Factor&#8221; (DF)—a pattern that measures how much the prices of the prior day moved from the open to the close relative to their total daily range (high to low).
This pattern does not indicate market direction but provides information only about volatility: a low Daily Factor value suggests that prices moved very little relative to their total range, while a high Daily Factor value indicates strong price movement, signaling a clearly bullish or bearish session.
Once the Daily Factor ("DF") value is computed, we compare it against a predefined threshold ("DF_level") to determine whether or not to enter a trade. Both "DF" and "DF_level" range from 0 to 1.
To integrate this filter, we add the following lines to our script and optimize the "DF_level" parameter, testing values between 0.1 and 1 in increments of 0.05.
//Daily Factor
input:DF_level(1);
var: DF(0);
if (highs(1)-lows(1))&lt;&gt;0 then begin
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; DF=absvalue(opens(1)-closes(1))/(highs(1)-lows(1));
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; end;
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="251" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-5.jpg" alt="" class="wp-image-9731" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-5.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-5-300x108.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 6 – Optimization of the "DF_level" input to define the filter based on the Daily Factor pattern.
Based on the optimization, we choose a value of 0.8. In other words, we set the strategy so that it only opens a position if the previous session's body (Open-Close) is less than 80% of the range (High-Low). This approach increases our average trade by $20, pushing it above $80, while further reducing the maximum drawdown and boosting net profit.
<h2 class="wp-block-heading">Further Developments to Improve Performance: Weekdays</h2>
At this stage of our testing, we have a system that is significantly improved but still not ready for live trading with real funds. We need to identify effective solutions to continue refining our approach. One idea, for instance, is to exclude specific days of the week that, over the entire historical period analyzed, have consistently proven to be less profitable.
In parallel, we update our script by introducing two new inputs, "skipdaylong" and "skipdayshort," which designate the trading days to exclude from our strategy. We then optimize these inputs within a range from 1 to 6, since in the programming language of the MultiCharts platform, these values represent the days of the week, with 1 corresponding to Monday and 6 to Saturday.
input: skipdaylong(-1),skipdayshort(-1);
if dayofweek(d)&lt;&gt;skipdaylong then Buy next&nbsp; bar at Highest(High,len)data2 stop;
if dayofweek(d)&lt;&gt;skipdayshort then Sellshort next bar at Lowest(Low,len)data2 stop;
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="696" height="95" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-4.jpg" alt="" class="wp-image-9727" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-4.jpg 696w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-4-300x41.jpg 300w" sizes="(max-width: 696px) 100vw, 696px" /></figure>
Figure 7 – Results of the optimization for the "skipdaylong" and "skipdayshort" inputs, sorted by average trade.
To validate our optimization results, we use a proprietary program that enables us to analyze the bias of each instrument at various levels—from intraday hourly bias to monthly and yearly bias. Examining Figure 8, we immediately notice that on Mondays (highlighted in the figure), Coffee futures tend to move sideways without a well-defined trend. In contrast, on the other days, the trend is clearer and generally bearish for this instrument. Furthermore, a Daily Factor measured on Fridays is evidently weaker than one measured on any other day. Based on these observations, we have decided to exclude Mondays from our trading operations, which helps us move closer to a $100 average trade.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="698" height="296" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1.jpg" alt="" class="wp-image-9730" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1.jpg 698w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1-300x127.jpg 300w" sizes="(max-width: 698px) 100vw, 698px" /></figure>
Figure 8 – Results of the weekly bias analysis for Coffee futures, carried out using the proprietary Bias Finder software.
<h2 class="wp-block-heading">Strategy Exit Optimization and Final Performance</h2>
As the final step in our test, we perform our usual stop-loss optimization, which had previously been set to $1,500. At the same time, we introduce a profit target to assess whether it provides additional benefits. As a result of this final refinement, we choose $1,700 for both the stop-loss and the profit target.
The final metrics from our study include a net profit of $167,000, an average trade of $107, and a maximum drawdown of about $13,000.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="698" height="296" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1.jpg" alt="" class="wp-image-9729" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1.jpg 698w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-1-300x127.jpg 300w" sizes="(max-width: 698px) 100vw, 698px" /></figure>
Figure 9 – Optimization of the Stop Loss value for the Trend Following strategy on Coffee futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="292" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-7.jpg" alt="" class="wp-image-9734" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-7.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-7-300x126.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 10 – Optimization of the Profit Target value for the Trend Following strategy on Coffee futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="697" height="384" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-6.jpg" alt="" class="wp-image-9732" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-6.jpg 697w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-6-300x165.jpg 300w" sizes="(max-width: 697px) 100vw, 697px" /></figure>
Figure 11 – Final equity curve of the strategy on Coffee futures.
<figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="688" height="351" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-2.jpg" alt="" class="wp-image-9733" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-2.jpg 688w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/04091008/image-2-300x61.jpg 300w" sizes="(max-width: 688px) 100vw, 688px" /></figure>
Figure 12 – Final Performance Summary and Total Trade Analysis of the strategy on Coffee futures.
<h2 class="wp-block-heading">Conclusions on the Trend Following Trading System for Coffee Futures</h2>
In short, the Trend Following approach described in this article has shown considerable promise for trading Coffee futures. This underscores the importance of exploring less familiar markets—beyond the more widely recognized ones—to achieve greater portfolio diversification. While this analysis has provided valuable insights, further refinement is necessary before transitioning to live trading. This includes identifying the most profitable trades and improving the average trade so it's sufficiently robust for real-world conditions.
Until next time, happy trading!
Andrea Unger

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Trading Coffee Futures: Developing, Coding, and Optimizing a Trend-Following Strategy

CIBC analyst Paul Holden downgrades Bank of Montreal (TSX:<a class="ticker" href="https://www.benzinga.com/stock/BMO#TSX">BMO</a>) from Outperformer to Neutral and lowers the price target from C$152 to C$141.

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CIBC Downgrades Bank of Montreal to Neutral, Lowers Price Target to C$141

Needham analyst James Ricchiuti maintains Montrose Environmental Gr (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/MEG#NYSE">MEG</a>) with a Buy and lowers the price target from $39 to $28.

Needham Maintains Buy on Montrose Environmental Gr, Lowers Price Target to $28

Needham analyst Gil Blum reiterates I-MAB (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/IMAB#NASDAQ">IMAB</a>) with a Buy and maintains $4 price target.

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Needham Reiterates Buy on I-MAB, Maintains $4 Price Target

HC Wainwright &amp; Co. analyst Andrew Fein maintains I-MAB (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/IMAB#NASDAQ">IMAB</a>) with a Buy and lowers the price target from $8 to $7.

HC Wainwright & Co. Maintains Buy on I-MAB, Lowers Price Target to $7

Two prominent voices in crypto investing—Arthur Hayes and Dan Tapiero—are framing the latest wave of U.S. tariffs as a symptom of deeper structural issues in the <a href="https://www.benzinga.com/markets/equities/25/04/44631713/tariffs-will-provide-great-buying-opportunity-in-long-term-investors-must-first-cross-stagflatio">global financial system</a>, arguing that Bitcoin (CRYPTO: <a class="ticker" href="https://www.benzinga.com/quote/btc/usd">BTC</a>) may stand to benefit from the resulting distortions.
The comments come amid heightened trade tensions following sweeping tariff announcements by the U.S., intended to counter foreign exchange manipulation, persistent trade deficits, and <a href="https://www.benzinga.com/markets/25/04/44621408/market-access-has-a-price-trump-unveils-list-of-tariffs-countries-targeted">sluggish domestic growth</a>.
But for Hayes, co-founder of BitMEX, and Tapiero, founder of 10T Holdings and DTAP Capital, these are not isolated policy decisions—they reflect a system under pressure.
"I LOVE TARIFFS," Hayes <a href="https://x.com/cryptohayes/status/1907961898777391323?s=46">wrote</a> on X on Friday, sharing a chart showing the widening gap between the U.S. current account and financial account balances. "Global imbalances will be corrected, and the pain papered over with printed money, which is good for $BTC."
The chart he referenced shows the long-term divergence between the U.S. current account balance, which has plunged deeper into deficit since the early 2000s, and the financial account balance, which has grown substantially—fueled by inflows of foreign capital. 
This pattern illustrates how the U.S. has increasingly relied on financing from abroad to fund its deficits, making the economy vulnerable to shifts in global capital flows.
Also Read: <a href="https://www.benzinga.com/markets/cryptocurrency/25/04/44638067/anthony-pompliano-praises-trumps-tariffs-as-catalyst-for-crypto-innovation">Anthony Pompliano Praises Trump&#8217;s Tariffs As Catalyst For Crypto Innovation</a>
Tapiero <a href="https://x.com/dtapcap/status/1908031555290935666?s=46">echoed</a> the sentiment, writing: "Tariffs represent battle ongoing in the old analog world… Bitcoin stands outside this world. Free of legacy burdens."
He framed tariffs as a reactionary tool, attempting to fix long-standing problems with outdated mechanisms: "In an attempt to solve old problems—excess government spending, FX manipulation, weak growth, geopolitics—so much manipulation and interference."
While mainstream financial markets have viewed tariffs through the lens of trade friction and inflationary risk, Hayes and Tapiero suggest the deeper takeaway is the fragility of a global economic system sustained by imbalances that cannot be resolved by conventional tools. 
In their view, <a href="https://www.benzinga.com/markets/cryptocurrency/25/04/44631522/bitcoin-as-trump-tariff-safe-haven-not-yet-but-might-decouple-over-time-expert-says">Bitcoin represents an exit from that paradigm</a>.
The endorsement of Bitcoin as a hedge against systemic risk fits into a broader narrative gaining traction among macro investors: that digital assets, especially Bitcoin, may be best understood not just as speculative instruments, but as structural alternatives to a weakening fiat-based system.
As the U.S. trade and fiscal picture deteriorates, with the current account deficit nearing historic lows, some investors see BTC as a potential long-term beneficiary—particularly if rising tariffs lead to currency devaluations and renewed money printing to offset economic shocks.
Read Next: 
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<li><a href="https://www.benzinga.com/markets/cryptocurrency/25/04/44631522/bitcoin-as-trump-tariff-safe-haven-not-yet-but-might-decouple-over-time-expert-says">Bitcoin As Trump Tariff Safe Haven? Not Yet, But &#8216;Might Decouple Over Time,&#8217; Expert Says</a></li>
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Image: Shutterstock

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Exxon Mobil Corporation (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/XOM#NYSE">XOM</a>) shares are trading lower premarket on Friday. The oil giant anticipates changes in oil prices to add first-quarter Upstream earnings&nbsp;quarter-over-quarter&nbsp;<a target="_blank" href="https://www.benzinga.com/secfilings/25/04/44636947/exxon-mobil-corp-general-corporate-statement-form8-0000034088-25-000017" rel="noreferrer noopener">by&nbsp;</a>$0.0&nbsp;billion to&nbsp;$0.4 billion.
Also, changes in gas prices are expected to add to its Upstream results by $0.0&nbsp;billion&nbsp;and&nbsp;$0.4 billion compared to the fourth quarter.
Also, Exxon Mobil projects that variations in industry margins will positively impact Energy Products <a target="_blank" href="https://www.benzinga.com/calendars/guidance" rel="noreferrer noopener">earnings by&nbsp;$0.3 billion –&nbsp;$0.7 billion</a>.
On the other hand, the company expects change in industry margins to impact Chemical Products earnings by&nbsp;$(0.1)&nbsp;billion –&nbsp;$0.1 billion and Specialty Products earnings by&nbsp;$(0.3)&nbsp;billion –&nbsp;$(0.1)&nbsp;billion.
Moreover, changes in timing effects are expected to positively impact both Upstream and Energy Products earnings by $0.1 billion – $0.5 billion each.
Also Read: <a target="_blank" href="https://www.benzinga.com/news/global/25/03/44477467/trumps-tariffs-on-buyers-of-venezuelan-oil-could-boost-energy-sector-exxon-mobil-stock" rel="noreferrer noopener">Trump&#8217;s Tariffs On Buyers Of Venezuelan Oil Could Boost Energy Sector, Exxon Mobil Stock</a>
Apart from this, changes in scheduled maintenance are projected to affect Upstream results by $0.0 billion –&nbsp;$0.2 billion, Energy Products by $(0.3) billion –&nbsp;$(0.1) billion, Chemical Products by $(0.1) billion –&nbsp;$0.1 billion and Specialty Products by $(0.1) billion –&nbsp;$0.1 billion.
According to&nbsp;<a target="_blank" href="https://pro.benzinga.com/dashboard" rel="noreferrer noopener">Benzinga Pro</a>, analysts estimate Exxon Mobil to report&nbsp;first -quarter adjusted earnings per share of&nbsp;$1.70 and revenues of&nbsp;$86.09 billion.
Last month, the company disclosed that it is preparing to increase its isopropyl alcohol (IPA)&nbsp;production, aiming to produce 99.999% ultra-pure IPA to meet the <a target="_blank" href="https://www.benzinga.com/markets/equities/25/03/44497833/exxon-mobil-eyes-semiconductor-boom-with-99-999-pure-isopropyl-alcohol-production-expansion-details" rel="noreferrer noopener">growing needs of the semiconductor sector</a>.
Exxon's Baton Rouge facility will undergo upgrades to manufacture this high-purity IPA to meet the growing demand by 2027.
Investors can gain exposure to XOM via&nbsp;THOR Equal Weight Low Volatility ETF (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/THLV#NYSE">THLV</a>) and ALPS Equal Sector Weight ETF (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/EQL#NYSE">EQL</a>).
Price Action: XOM shares are down 3.53% at $108.46 premarket at the last check Friday.
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Image via Shutterstock.

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American Shared Hospital Q4 2024 GAAP EPS $(0.20) Down From $0.06 YoY, Sales $9.07M Up From $5.70M YoY

NGVC

Natural Grocers Launches Three New Non-GMO Peruvian Chip Varieties Under Store Brand

Health Care

General

American Shared Hospital Services Appoints Gary Delanois As CEO

"This transaction will strengthen the company's investment grade balance sheet by reducing our borrowings and unlocking the unrecognized value of critical assets," said Glenn Brandt, Chief Financial Officer. "With this transaction, Rogers will have issued an aggregate $9 billion of equity-valued capital since year-end, which is expected to reduce leverage by almost 1 turn."

Rogers to Use C$7B Investment From Blackstone-Led Group To Repay Debt And Boost Balance Sheet

The Greenbrier Companies, Inc. (NYSE:<a class="ticker" href="https://www.benzinga.com/stock/GBX#NYSE">GBX</a>) will release earnings results for the second quarter, after the <a href="https://www.benzinga.com/quote/GBX/earnings">closing bell on Monday, April 7.</a>
Analysts expect the Lake Oswego, Oregon-based company to report quarterly earnings at $1.78 per share, up from $1.03 per share in the year-ago period. Greenbrier projects to report quarterly revenue at $898.53 million, compared to $862.7 million a year earlier, according to data from <a href="https://pro.benzinga.com/dashboard">Benzinga Pro</a>.
On Thursday, Greenbrier announced a 7% increase to its quarterly dividend.
Greenbrier shares tumbled 9.4% to close at $47.10 on Thursday.
Benzinga readers can access the latest analyst ratings on the <a href="https://www.benzinga.com/analyst-ratings/analyst-color/22/09/28888638/exclusive-study-finds-benzinga-analyst-ratings-data-yields-market-beating-strategie">Analyst Stock Ratings</a> page. Readers can sort by stock ticker, company name, analyst firm, rating change or other variables.
Let's have a look at how Benzinga's most-accurate <a href="https://www.benzinga.com/quote/GBX/analyst-ratings">analysts have rated the company</a> in the recent period.
<ul>
<li>B of A Securities analyst Ken Hoexter maintained an Underperform rating and raised the price target from $60 to $62 on Jan. 9, 2025. This analyst has an accuracy rate of 64%.</li>
<li>Stephens &amp; Co. analyst Justin Long maintained an Overweight rating and increased the price target from $62 to $65 on April 8, 2024. This analyst has an accuracy rate of 70%.</li>
</ul>
Considering buying GBX stock? Here&#8217;s what analysts think: 
<figure class="wp-block-image size-large is-resized"><img loading="lazy" decoding="async" width="1024" height="591" src="https://editorial-assets.benzinga.com/wp-content/uploads/2025/04/04031446/image-1-10-1024x591.png" alt="" class="wp-image-856981" style="width:553px;height:auto" srcset="https://editorial-assets.benzinga.com/wp-content/uploads/2025/04/04031446/image-1-10-1024x591.png 1024w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/04/04031446/image-1-10-300x173.png 300w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/04/04031446/image-1-10-768x443.png 768w,https://editorial-assets.benzinga.com/wp-content/uploads/2025/04/04031446/image-1-10.png 1113w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
Read This Next: 
<ul>
<li><a href="https://www.benzinga.com/25/04/44626468/top-3-risk-off-stocks-that-are-ticking-portfolio-bombs">Top 3 Risk Off Stocks That Are Ticking Portfolio Bombs</a> </li>
</ul>
Photo via Shutterstock

Markets

Greenbrier Gears Up For Q2 Print; Here Are The Recent Forecast Changes From Wall Street's Most Accurate Analysts

Under the terms of the transaction, Blackstone will acquire a non-controlling interest in a new Canadian subsidiary of Rogers that will own a minor part of Rogers wireless network.&nbsp;Rogers will maintain full operational control of its network and will include the financial results of the subsidiary in its consolidated financial statements.
 &nbsp;

Rogers Communications Inks C$7B Deal With Blackstone, CPP And Others for 49.9% Stake In New Wireless Subsidiary

D. Boral Capital analyst Jason Kolbert maintains AVITA Medical (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/RCEL#NASDAQ">RCEL</a>) with a Buy and maintains $22 price target.

RCEL

D. Boral Capital Maintains Buy on AVITA Medical, Maintains $22 Price Target

EQUINIX REVERSES EARLY WEAKNESS AFTER ALERT ON NEGATIVE DAY FOR BROAD MARKET
<figure class="wp-block-image size-large"><img decoding="async" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/04/03201757/Screenshot-2025-04-03-at-4.14.47%E2%80%AFPM-1007x1024.png" alt="" class="wp-image-9720" /></figure>
Equinix, Inc. (EQIX) today experienced a Power Inflow, a significant event for those who follow where smart money goes and value order flow analytics in their trading decisions.&nbsp;
Today, at 10:08 AM on April 3rd, a significant trading signal occurred for Equinix, Inc. (EQIX) as it demonstrated a Power Inflow at a price of $789.95. This indicator is crucial for traders who want to know directionally where institutions and so-called "smart money" moves in the market. They see the value of utilizing order flow analytics to guide their trading decisions. The Power Inflow points to a possible uptrend in Equinix&#8217;s stock, marking a potential entry point for traders looking to capitalize on the expected upward movement. Traders with this signal closely watch for sustained momentum in Equinix&#8217;s stock price, interpreting this event as a bullish sign.
Signal description
Order flow analytics, aka transaction or market flow analysis, separate and study both the retail and institutional volume rate of orders (flow). It involves analyzing the flow of buy and sell orders, along with size, timing, and other associated characteristics and patterns, to gain insights and make more informed trading decisions. This particular indicator is interpreted as a bullish signal by active traders.&nbsp;
The Power Inflow occurs within the first two hours of the market open and generally signals the trend that helps gauge the stock&#8217;s overall direction, powered by institutional activity in the stock, for the remainder of the day.&nbsp;
By incorporating order flow analytics into their trading strategies, market participants can better interpret market conditions, identify trading opportunities, and potentially improve their trading performance. But let's not forget that while watching smart money flow can provide valuable insights, it is crucial to incorporate effective risk management strategies to protect capital and mitigate potential losses. Employing a consistent and effective risk management plan helps traders navigate the uncertainties of the market in a more controlled and calculated manner, increasing the likelihood of long-term success
If you want to stay updated on the latest options trades for EQIX, <a href="https://benzinga.grsm.io/register174">Benzinga Pro</a> gives you real-time options trades alerts.&nbsp;
<a href="https://benzinga.com/apis?_gl=1&#x2A;1hlgn5i&#x2A;_ga&#x2A;MTY1NjE2NTYxMi4xNzE0NzQ4MTAy&#x2A;_ga_V7ZK73W7N0&#x2A;MTcxNDc0ODEwMi4xLjEuMTcxNDc0ODQyOC4wLjAuMA..">Market News and Data brought to you by Benzinga APIs</a> and include firms, like&nbsp; &nbsp; <a href="https://www.tradepulse.net">https://www.tradepulse.net</a>&nbsp; which are responsible for parts of the data within this article. 
&#xA9; 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
After Market Close UPDATE:The price at the time of the Power Inflow was $789.95. The returns on the high price post-signal ($809.36) and close price ($801.44) after the Power Inflow are respectively 2.5% and 1.5%. The result underlines the importance of a trading plan that includes Profit Targets and Stop Losses that reflect your risk appetite.
Past Performance Not Indicative of Future Results

WIIM

Equinix Stock Up 2.5% After key Signal, Despite Market Sell-off

The Company expects to receive aggregate gross proceeds of US$9.8 million from the Offering, before deducting underwriting discounts and other related expenses.

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