Archive for Opinions – Page 29

Week Ahead: 3 assets that may hit new highs – Bitcoin, GBPUSD, and US500 index

By ForexTime 

  • Mon, May 26th: US, UK markets closed
  • Tue, May 27th: Positive signals out of Bitcoin 2025 conference may send Bitcoin to fresh record highs
  • Wed, May 28th: Better-than-expected Nvidia earnings could boost US500 index above 6k
  • Wed, May 28th: US dollar also sensitive to FOMC meeting minutes, Fed speak
  • Fri, May 30th: Weaker USD could send GBPUSD above 1.360 on higher-than-expected US PCE data, contentious US-Japan trade talks

 

Recent days have seen major assets claim new heights:

  • Tuesday, May 20: US500 stock index got close to 3-month high

The US500 index got to within 0.3% of the psychological 6k level – a level not reached since late-February – before paring gains.

Tiring optimism that the worst of the US-led trade war is now behind us eventually gave way mid-week to concerns about the US fiscal deficit (the gap between US government’s spending and income) prompted some profit taking on the benchmark US stock index.

Imagen
US500 got within touching distance of 6k, only to falter on US fiscal deficit concerns

 

 

  • Thursday, May 22: Bitcoin hits new record high

Bitcoin touched the $112,000 mark for the first time in its history on Thursday, May 22nd.

This ascent to a new all-time peak was fuelled by optimism that new US stablecoin legislation (potentially to be passed by the US House today – Friday, May 23rd) will lead to greater mainstream adoption of the world’s oldest and biggest cryptocurrency.

Imagen
Bitcoin hits new record high, briefly touched $112,000

 

 

  • Friday, May 23rd: GBPUSD punches up to 3-year high

This FX pair nickname “cable” is closing in on the psychological 1.3500 level, reaching its highest levels since February 2022.

This comes after stronger-than-expected UK economic data releases:

  • Wed: May 21: higher-than-expected inflation data
  • Fri, May 23: stronger-than-expected retail sales figures

These figures suggest a more resilient-than-expected UK economy, potentially delaying more rate cuts by the Bank of England (BoE), which in turn supports the British Pound.

GBPUSD also got a helping hand from the weaker US dollar, amid rising concerns about the US fiscal deficit, fuelled by President Trump’s “big, beautiful bill” narrow approval by the House, featuring tax cuts.

Imagen
GBPUSD hits new 3-year high

 

But there’s bound to be more market action in the final week of May 2025.

(despite US and UK markets being closed on Monday, May 26th)

 

The coming week features many potential market-moving events:

Monday, May 26

  • SG20 index: Singapore April industrial production
  • US, UK markets closed

Tuesday, May 27

  • CN50 index: China April industrial profits
  • USDJPY: Speeches by Bank of Japan Governor Kazuo Ueda and Minneapolis Fed President Neel Kashkari
  • EU50 index: Eurozone May economic confidence; Germany June consumer confidence
  • US30 index: US May consumer confidence
  • Bitcoin 2025 conference

Wednesday, May 28

  • AUD: Australia April CPI
  • NZD: RBNZ rate decision
  • TWN index: Taiwan 1Q GDP
  • GER40 index: Germany May unemployment
  • USDInd: FOMC May meeting minutes; speeches by New York Fed President John Williams, Fed Governor Christopher Waller, and Minneapolis Fed President Neel Kashkari
  • Nvidia earnings

Thursday, May 29

  • ZAR: South Africa rate decision
  • US400 index: US 1Q GDP (second estimate); weekly initial jobless claims
  • USDInd: Speeches by Chicago Fed President Austan Goolsbee, Dallas Fed President Lorie Logan, Richmond Fed President Tom Barkin, San Francisco Fed President Mary Daly

Friday, May 30

  • JPY: US-Japan trade talks; May Tokyo CPI
  • JP225 index: Japan April industrial production, jobless rate, retail sales
  • AU200 index: Australia April retail sales
  • EUR: Germany May CPI
  • MXN: Mexico April unemployment rate
  • CAD: Canada 1Q GDP
  • US500 index: US April PCE, personal income and spending

 

Now, we zoom in on specific events that could either determine if Bitcoin, the US dollar, and the US500 can extend their uptrend, or be forced to pull back:

 

1) Tuesday – Thursday, May 27-29: Bitcoin 2025 Conference

Although US President Donald Trump will not repeat his attendance from last year’s conference, there will be speeches by:

  • JD Vance, US Vice President
  • David Sacks, White House AI & Crypto Czar

These speeches come as a major stablecoin legislation is, at the time of writing, about to be passed by the Senate.

If Vance and Sacks, along with other crypto luminaries can further stoke optimism that even greater mainstream crypto adoption is in store, that could send Bitcoin closer to $120k this week.

 

 

2) Wednesday, May 28 (after US markets close): Nvidia earnings

With a market cap of US$ 3.24 trillion, Nvidia is now the 2nd biggest company by market cap on the benchmark S&P 500 index (tracked by FXTM’s US500) – just behind Microsoft’s US3.38 trillion market cap.

Nvidia is set to release its Q1 fiscal 2026 earnings (3 months ending April 30th) after US markets close on Wednesday, May 28th.

After this pivotal announcement, Nvidia’s shares are forecasted to react with a 1-day move of 6.5% up/down, when US markets reopen on Thursday, May 29th.

Using the closing price from Thursday, May 22nd as the base, a post-earnings 6.5% move to the upside on May 29th could launch Nvidia’s shares back above the $140 level, and even possibly the US500 above the 6,000 line!

Given that Nvidia alone accounts for about 6% of the S&P 500, the market’s reaction to Nvidia’s earnings is bound to move the broader US500 index as well.

 

 

3) Friday, May 30: US April PCE (personal consumption expenditure)

This is the Fed’s preferred way of measuring US inflation (as opposed to consumer price indexes – CPI – typically released mid-month).

Economists currently predict:

  • PCE month-on-month (April 2025 vs. March 2025): slight uptick to 0.1% vs. the 0% m/m figures in March 2025
  • PCE year-on-year (April 2025 vs. April 2024): slight cooling of 10 basis points respectively for PCE (2.2% y/y) and Core PCE (2.5% y/y).

Traders and investors will be relying next on these PCE figures to determine the timing of the next Fed rate cut.

Markets currently predict an 82% chance that the Fed will next cut rates in September.

Higher-than-expected PCE data may fuel fears of a US stagflation (stubborn inflation accompanied with sluggish economic growth).

US stagflation could in turn prevent the Federal Reserve from cutting interest rates despite a darkening US economic outlook.

Greater prospects of US stagflation could weaken the US Dollar and allow GBPUSD bulls (those hoping prices go up) to seek prices above 1.360.

According to Bloomberg’s FX model, there’s a 75.6% chance that GBPUSD will trade between 1.334 – 1.365 over the coming week.

Besides the PCE data, the US dollar is also set to react to more clues about the Fed’s rate cuts via:

  • May 27-29th: 7 different Fed officials making scheduled public comments from Tuesday through Thursday
  • May 28th: FOMC’s May meeting minutes release
  • May 30th: US-Japan trade talks, inflation data out of major economies (Japan, Germany).

Forex-Time-LogoArticle by ForexTime

ForexTime Ltd (FXTM) is an award winning international online forex broker regulated by CySEC 185/12 www.forextime.com

Do photons wear out? An astrophysicist explains light’s ability to travel vast cosmic distances without losing energy

By Jarred Roberts, University of California, San Diego 

My telescope, set up for astrophotography in my light-polluted San Diego backyard, was pointed at a galaxy unfathomably far from Earth. My wife, Cristina, walked up just as the first space photo streamed to my tablet. It sparkled on the screen in front of us.

“That’s the Pinwheel galaxy,” I said. The name is derived from its shape – albeit this pinwheel contains about a trillion stars.

The light from the Pinwheel traveled for 25 million years across the universe – about 150 quintillion miles – to get to my telescope.

My wife wondered: “Doesn’t light get tired during such a long journey?”

Her curiosity triggered a thought-provoking conversation about light. Ultimately, why doesn’t light wear out and lose energy over time?

Let’s talk about light

I am an astrophysicist, and one of the first things I learned in my studies is how light often behaves in ways that defy our intuitions.

A photo of outer space that shows a galaxy shaped like a pinwheel.
The author’s photo of the Pinwheel galaxy.
Jarred Roberts

Light is electromagnetic radiation: basically, an electric wave and a magnetic wave coupled together and traveling through space-time. It has no mass. That point is critical because the mass of an object, whether a speck of dust or a spaceship, limits the top speed it can travel through space.

But because light is massless, it’s able to reach the maximum speed limit in a vacuum – about 186,000 miles (300,000 kilometers) per second, or almost 6 trillion miles per year (9.6 trillion kilometers). Nothing traveling through space is faster. To put that into perspective: In the time it takes you to blink your eyes, a particle of light travels around the circumference of the Earth more than twice.

As incredibly fast as that is, space is incredibly spread out. Light from the Sun, which is 93 million miles (about 150 million kilometers) from Earth, takes just over eight minutes to reach us. In other words, the sunlight you see is eight minutes old.

Alpha Centauri, the nearest star to us after the Sun, is 26 trillion miles away (about 41 trillion kilometers). So by the time you see it in the night sky, its light is just over four years old. Or, as astronomers say, it’s four light years away.

Imagine – a trip around the world at the speed of light.

With those enormous distances in mind, consider Cristina’s question: How can light travel across the universe and not slowly lose energy?

Actually, some light does lose energy. This happens when it bounces off something, such as interstellar dust, and is scattered about.

But most light just goes and goes, without colliding with anything. This is almost always the case because space is mostly empty – nothingness. So there’s nothing in the way.

When light travels unimpeded, it loses no energy. It can maintain that 186,000-mile-per-second speed forever.

It’s about time

Here’s another concept: Picture yourself as an astronaut on board the International Space Station. You’re orbiting at 17,000 miles (about 27,000 kilometers) per hour. Compared with someone on Earth, your wristwatch will tick 0.01 seconds slower over one year.

That’s an example of time dilation – time moving at different speeds under different conditions. If you’re moving really fast, or close to a large gravitational field, your clock will tick more slowly than someone moving slower than you, or who is further from a large gravitational field. To say it succinctly, time is relative.

An astronaut floats weightless aboard the International Space Station.
Even astronauts aboard the International Space Station experience time dilation, although the effect is extremely small.
NASA

Now consider that light is inextricably connected to time.
Picture sitting on a photon, a fundamental particle of light; here, you’d experience maximum time dilation. Everyone on Earth would clock you at the speed of light, but from your reference frame, time would completely stop.

That’s because the “clocks” measuring time are in two different places going vastly different speeds: the photon moving at the speed of light, and the comparatively slowpoke speed of Earth going around the Sun.

What’s more, when you’re traveling at or close to the speed of light, the distance between where you are and where you’re going gets shorter. That is, space itself becomes more compact in the direction of motion – so the faster you can go, the shorter your journey has to be. In other words, for the photon, space gets squished.

Which brings us back to my picture of the Pinwheel galaxy. From the photon’s perspective, a star within the galaxy emitted it, and then a single pixel in my backyard camera absorbed it, at exactly the same time. Because space is squished, to the photon the journey was infinitely fast and infinitely short, a tiny fraction of a second.

But from our perspective on Earth, the photon left the galaxy 25 million years ago and traveled 25 million light years across space until it landed on my tablet in my backyard.

And there, on a cool spring night, its stunning image inspired a delightful conversation between a nerdy scientist and his curious wife.The Conversation

About the Author:

Jarred Roberts, Project Scientist, University of California, San Diego

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Lifecycle of a research grant – behind the scenes of the system that funds science

By Kelly S. Mix, University of Maryland 

Science funding is a hot topic these days and people have questions about how grants work. Who decides whether a researcher will receive funds? What’s the decision-making process? How is the money spent once a grant proposal has been approved?

As a veteran academic researcher, department chairperson and associate dean for research, I have seen this process play out from multiple perspectives – as a grant recipient, grant reviewer and university administrator.

Research organizations and major federal funders, including the National Institutes of Health, the National Science Foundation and the Defense Advanced Research Projects Agency (DARPA), all rely on careful systems of checks and balances to ensure high standards of scholarship and financial integrity at every stage of a grant’s lifecycle. Here’s how it all works.

The birth of a grant application

To receive research funding, scientists submit grant applications to specific programs. A cancer researcher might apply to the Bioengineering Research Grants program at NIH. Someone investigating sustainable fishing in freshwater habitats could seek funding from the Population and Community Ecology program at the NSF.

Applications must be responsive to the funding program’s specific request for proposals, or RFP. The RFP tells researchers what the agency wants to fund. For example, the NSF’s Education Core Research program currently only funds projects focused on STEM learning.

RFPs might have other application requirements, too, like explaining how a project will contribute to the public good, or supporting training for new scientists.

Grant applications have two main parts. First, the researcher presents an extensive literature review to explain why the new project is needed and what it will add to the existing knowledge base. Next, they write up a detailed description of the proposed research plan. This basic two-part structure ensures that funded research will yield important information that is both new and trustworthy.

Reviewers read the grant applications and compare them to the RFP. Applications that don’t address all the topics and research priorities listed there are unlikely to be funded. I once had a proposal rejected without further review because I left out a paragraph addressing one of the items in the agency’s new RFP. This initial review for RFP compliance is called “triage” and, believe me, nobody wants to see their hard work triaged out of the running.

Merit review: How funding decisions are made

Federal funding decisions are made through rigorous merit review.

For each round of funding, agencies assemble a panel of anonymous content experts who will look for strengths and weaknesses in the proposals – anything from innovation in the question posed to logical flaws in the hypotheses or technical problems with the planned data analyses. With a group of experts looking for every possible weakness, having your grant reviewed is a bit like running a gauntlet.

This careful review might help explain why 70% to 80% of grant applications typically go unfunded at agencies like the NIH and the NSF. But this level of scrutiny is necessary to prevent funding poorly designed or low-impact research.

Several safeguards head off bias or unethical influences during merit review.

First, reviewers must disclose any conflicts of interest with the pool of applicants before they can access the applications. Conflicts of interest can include situations like the reviewer having been the student of an applicant, the applicant and reviewer being divorced, or the proposal coming from the reviewer’s current institution.

When conflicts are identified, the reviewer can remain on the panel, but they are completely excluded from decisions related to that application. They cannot even be in the room when it is discussed.

Second, reviewers usually attend a meeting, supervised by program staff from the funding agency, where everyone debates the proposal’s merits before they score it. Sometimes panel members disagree in their initial critiques and use the meeting to hash out their differences. Other times, a reviewer might raise an important concern that others missed.

Group discussion helps ensure a transparent and thorough review. It also stops any single reviewer from dictating the fate of a proposal because everyone hears the discussion and then scores the proposal individually. Whether a reviewer thinks an application is outstanding or fatally flawed, they must convince the rest of the experts in the room for the group’s overall scores to be greatly affected.

Third, these discussions, along with the applications themselves and any written critiques, are strictly confidential. Reviewers sign written confidentiality agreements under penalty of perjury. This practice stops panelists from scoring political points by telling an applicant they defended their proposal, or divulging trade secrets and proprietary information.

Following the meeting, final decisions are made by program staff using the reviewers’ evaluations. Some agencies adhere closely to the reviewers’ numeric scores – like a grade – when making these decisions. Others ask reviewers to sort applications into “fundable” or “non-fundable” piles; program staff then have some discretion on the final decision. But all decisions are rooted in the peer critiques.

Spending the funds

Headlines about universities receiving large grants may leave the impression that such funds are simply added to the institution’s general coffers. But research funds are granted to support specific research projects, and agencies have strict rules about spending the money.

For example, if a researcher wants to present their findings at a conference, they can charge the grant for their travel costs, but they may not charge above a certain amount for their lodging or purchase business class airplane tickets. Similarly, if a researcher wants to have more time to devote to a funded project, they can use part of the money to pay their own salary in the summer, but there are precise limits on the amount of funding that can be used for this purpose.

It’s not up to the researcher alone to follow these rules. The organization that employs the researcher, usually a university, enforces the agency rules because it’s the employing organization that controls the grant accounts.

Returning to the conference travel example, a university researcher who wants to attend a conference must request permission and provide a budget for the trip before purchasing tickets. If the travel request is approved by their department chair, dean and the university travel office, they may go ahead with their reservations. However, if they don’t produce receipts when they return, they will not be allowed to charge the grant. The same process applies to buying new computers for the lab, ordering standardized tests for a study or purchasing gift cards for study participants.

Research organizations are highly motivated to enforce spending rules properly, because everyone in the organization is at risk of losing access to federal funds in the future if they let things slide. Funding agencies also require periodic reports and sometimes conduct audits to ensure compliance. These practices help guard against any misuse of funds.

The way agencies issue grants to researchers isn’t perfect. But processes like issuing detailed RFPs, conducting merit reviews and monitoring financial compliance go a long way toward protecting the integrity of the research funding process.The Conversation

About the Author:

Kelly S. Mix, Associate Dean for Research, Innovation, and Partnerships in the College of Education, University of Maryland

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Target to sink back to 5-year lows after today’s earnings?

By ForexTime 

  • Target set to release earnings before US markets open today (Wed, May 21st)
  • US tariff fears expected to hit results for Q1 FY2026 (3 months ending April 30th)
  • Comparable sales forecasted to fall 1.8% year-on-year; EPS to drop over 18% y/y
  • Post-earnings, 1-day move predicted at 9.3% up/down for Target shares today
  • Wall Street analysts predict, pre-earnings, 20.8% upside over next 12 months

Target is set to unveil its fiscal Q1 earnings before US markets open today (Wed, May 21st).

At the time of writing, Target’s stocks are languishing around their lowest levels since August 2019.

Perhaps more tellingly, this stock has struggled to recover back above the psychologically-important $100 level since US President Donald Trump’s “liberation day” tariffs announcement on April 2nd.

Furthermore, as of the closing price on Tuesday, May 20th, Target’s stocks remain 27.4% lower so far this year.

Such sluggishness is all the more obvious when compared to the rebound in broader US stock markets over the past month, with the benchmark S&P 500 now back up 1% year-to-date.

From a technical perspective, despite finding some measure of support at its 21-day simple moving average (SMA) in recent sessions, Target remains hemmed in by its 50-day SMA, besides the earlier-mentioned psychological $100 level.

Imagen
Target to sink back to 5-year lows after today’s earnings?

Could its fortunes change by today’s market open? 

Experts think it’s unlikely.

Target’s fiscal Q1 2026 earnings (three months ending 30 April 2025): What to look out for?

Overall, Wall Street analysts predict that Target’s soon-to-be-released financial figures will point to a spending pullback by Target’s cautious customers who are wary about US tariffs.

This retail giant is expected to post the following key metrics:

  • Comparable Sales: down 1.84%
  • Average transaction amount: down 1.77%

Additionally, here are other (adjusted) headline numbers to look out for:

  • Revenue: US$ 24 billion – lowest since fiscal Q3 2021
    If so, that would mark a 2.1% drop compared to Q1 FY2025
  • Net income: US$ 756.7 million – lowest since fiscal Q3 2023
  • Earnings per share (EPS): US$1.66
    If so, that would mark an 18.08% drop compared to Q1 FY2025

More importantly, traders and investors will be glued to Target’s outlook on how US consumer demand might hold up in the face of tariff threats.

Can Target draw inspiration from other retail giants?

Target bulls (those hoping this stock can push higher) will be hoping that this retail giant can emulate the earnings outlook from another retail giant: Home Depot.

Just before US markets opened on Tuesday, May 20th, Home Depot – the world’s biggest home-improvement retailer – maintained its full-year sales forecast.

And that’s despite reporting a 0.3% drop in comparable sales for its latest fiscal quarter amid similar expected dampeners to consumer spending.

Home Depot execs also said they expect:

  • the worst of economic concerns to be in the past
  • tariffs to not translate into broad price increases

To be certain, even such seemingly soothing signals were unable to prevent Home Depot’s shares from falling 0.6% post-earnings during Tuesday’s cash session.

In contrast to Home Depot, Walmart sang a different tune at its quarterly results unveiling last week.

Walmart – the largest retailer in the world – suggested that:

  • price spikes stemming from tariffs are starting to take hold
  • the company would likely pass on such costs to end users

It remains to be seen what sort of signals will be conveyed by Target’s C-suite, whether it’s more in line with Home Depot’s confidence, or Walmart’s warnings.

 

Potential Post-Earnings Scenarios

Note that markets currently predict that Target shares could move 9.3% up or down when US markets reopen today – Wednesday, May 21st  – right after its earnings announcement.

 

  • BULLISH: Should Target unveil better-than-expected Q1 figures, and more importantly speak confidently of resilient spending among US consumers, that could launch its stock back above $107 for the first time since March.

 

  • BEARISH: Should Target announce lower-than-expected Q1 results, coupled with growing concerns about weakening US consumer spending amid persistent tariff fears, or worse – pull its earnings guidance altogether for the year – that may see Target’s stocks gapping down to open around the $89.00 level – close to its year-to-date/5-year lows.

 

Over the next 12 months …

Wall Street analysts are rather neutral on this stock’s 12-month prospects, with:

  • 23 “Hold” calls
  • 14 “Buys”
  • 2 “Sells”

Yet Target’s stocks are predicted to have another 20.8% potential upside over the next 12 months, potentially hitting $118.51 by May 2026.

Of course, all those analysts’ forecasts and 12-month target price may change drastically in a few hours, depending on what Target conveys to markets.

Targets earnings announcement is bound to offer the latest clues on the overall health of US domestic consumption – the primary driver of the world’s largest economy – while also potentially producing outsized trading opportunities in the immediate aftermath.


Forex-Time-LogoArticle by ForexTime

ForexTime Ltd (FXTM) is an award winning international online forex broker regulated by CySEC 185/12 www.forextime.com

Gold Prices Climb Amid Geopolitical Tensions

By RoboForex Analytical Department 

The price of gold rose to $3,303 per troy ounce on Wednesday, nearing a two-week high. The precious metal gained for the third consecutive day, following a 2% surge the previous day as investors sought safety amid heightened geopolitical uncertainty.

Key drivers behind the rally

Middle East Tensions: fears of escalation increased over a potential Israeli strike on Iran’s nuclear facilities, which could trigger retaliatory measures from Tehran.

US Political Uncertainty: President Donald Trump’s remarks on peace talks between Russia and Ukraine added to market unease, though he distanced himself from a mediating role.

Dollar Weakness: the US dollar remained under pressure after the Federal Reserve’s cautious economic outlook and Moody’s downgrade of the US credit rating, citing rising government debt.

Trade & Fiscal Policy: investor confidence in the dollar was further dented by uncertainty over trade tariffs and the pending vote on Trump’s proposed tax reforms.

As a result, the dollar’s weakness has made gold more attractive to international buyers.

Technical analysis: XAU/USD

H4 Chart:

  • The market consolidated near 3,222 before breaking upward
  • The immediate upside target of 3,312 has now been met
  • A pullback to retest 3,222 (from above) is likely, followed by a potential rise towards 3,333
  • MACD Indicator: The signal line remains above zero and points upward, supporting further gains

 

H1 Chart:

  • The pair broke through 3,250 and continued its upward trajectory towards 3,333
  • A short-term correction to 3,222 is expected before another push higher
  • The current uptrend is viewed as corrective; once complete, a downward wave towards 3,222 may follow
  • Stochastic Oscillator: The signal line is below 80 and trending downward towards 20, indicating potential near-term weakness

 

Conclusion

Gold’s rally reflects its role as a haven amid geopolitical risks and dollar softness. While technical indicators point to a temporary correction, the broader uptrend remains intact, with 3,333 as the next key resistance level.

 

Disclaimer

Any forecasts contained herein are based on the author’s particular opinion. This analysis may not be treated as trading advice. RoboForex bears no responsibility for trading results based on trading recommendations and reviews contained herein.

Euro Speculator Bets hit 2024 High as Brazilian Real Bets Rebound, CAD Bets Decline

By InvestMacro

Speculators OI FX Futures COT Chart

Here are the latest charts and statistics for the Commitment of Traders (COT) data published by the Commodities Futures Trading Commission (CFTC).

The latest COT data is updated through Tuesday May 13th and shows a quick view of how large market participants (for-profit speculators and commercial traders) were positioned in the futures markets. All currency positions are in direct relation to the US dollar where, for example, a bet for the euro is a bet that the euro will rise versus the dollar while a bet against the euro will be a bet that the euro will decline versus the dollar.

Weekly Speculator Changes led by Brazilian Real & EuroFX

Speculators Nets FX Futures COT Chart
The COT currency market speculator bets were slightly higher this week as six out of the eleven currency markets we cover had higher positioning while the other five markets had lower speculator contracts.

Leading the gains for the currency markets was the Brazilian Real (18,554 contracts) with the EuroFX (9,055 contracts), Bitcoin (954 contracts), the New Zealand Dollar (523 contracts), the Swiss Franc (505 contracts) and the US Dollar Index (493 contracts) also showing positive weeks.

The currencies seeing declines in speculator bets on the week were the Canadian Dollar (-11,511 contracts), the Japanese Yen (-4,591 contracts), the Mexican Peso (-2,849 contracts), the British Pound (-2,019 contracts) and the Australian Dollar (-974 contracts) also registering lower bets on the week.

Currency Futures Data Highlights: Euro hits 2024 high

This week’s notable changes in the Currency Speculator positions included the Euro rising to a new yearly high, the Brazilian Real rebounding from last week’s sharp decline, and the Canadian Dollar posting the largest decrease this week in the speculator bets.

Euro Speculator Position:
– The Euro speculator bet rose by over +9,000 contracts this week.
– The Euro speculator position has risen in 4 out of the past 6 weeks and in 10 out of the last 13 weeks.
– Over the last 13 weeks, approximately +150,000 contracts have been added to the Euro speculator position.
– The overall standing has increased from approximately -64,000 contracts in February to a +84,774 contracts this week.
– This brings the Euro contract position to its highest level since September 2024, a span of 36 weeks.

Brazilian Real Speculator Position:
– The Brazilian Real jumped this week with a gain of over +18,000 speculator positions, rebounding from last week’s -43,377 contract decline.
– The Brazilian Real contract positions have risen in 5 out of the past 6 weeks and maintains a bullish net position of over +43,000 contracts this week.

Other Major Currencies:
– Speculator positions for the Australian Dollar, the Swiss Franc, the U.S. Dollar Index, the New Zealand Dollar, and Bitcoin all saw changes of less than 1,000 contracts on the week.
– The Japanese Yen saw an approximate -4,500 contract fall from its overall net position but maintains a highly bullish position slightly off the all-time highs of 2 weeks ago.
– The Canadian Dollar saw the most bearish change of the week with a decline of over 11,000 contracts, likely weighed down by falling oil prices and speculation that the Canadian government could reduce interest rates.

U.S. Dollar Index:
– The U.S. Dollar Index currently has a speculator’s net standing of -615 contracts, which amounts to an overall neutral position after a small gain this week.
– The U.S. Dollar Index price has risen slightly for the past 4 weeks in a row and ended the week just below the 101.00 exchange level.


Currencies Data:

Speculators FX Futures COT Data Table
Legend: Open Interest | Speculators Current Net Position | Weekly Specs Change | Specs Strength Score compared to last 3-Years (0-100 range)


Strength Scores led by Japanese Yen & Brazilian Real

Speculators Strength Scores FX Futures COT Chart
COT Strength Scores (a normalized measure of Speculator positions over a 3-Year range, from 0 to 100 where above 80 is Extreme-Bullish and below 20 is Extreme-Bearish) showed that the Japanese Yen (98 percent) and the Brazilian Real (80 percent) lead the currency markets this week. The Mexican Peso (62 percent), the EuroFX (61 percent) and the Swiss Franc (54 percent) come in as the next highest in the weekly strength scores.

On the downside, the US Dollar Index (5 percent) comes in at the lowest strength levels currently and is in Extreme-Bearish territory (below 20 percent). The next lowest strength scores are Bitcoin (33 percent), the New Zealand Dollar (38 percent) and the Australian Dollar (41 percent).

3-Year Strength Statistics:
US Dollar Index (5.4 percent) vs US Dollar Index previous week (4.4 percent)
EuroFX (61.0 percent) vs EuroFX previous week (57.6 percent)
British Pound Sterling (48.3 percent) vs British Pound Sterling previous week (49.2 percent)
Japanese Yen (98.1 percent) vs Japanese Yen previous week (99.4 percent)
Swiss Franc (54.1 percent) vs Swiss Franc previous week (53.1 percent)
Canadian Dollar (51.1 percent) vs Canadian Dollar previous week (56.3 percent)
Australian Dollar (41.3 percent) vs Australian Dollar previous week (42.0 percent)
New Zealand Dollar (38.3 percent) vs New Zealand Dollar previous week (37.7 percent)
Mexican Peso (62.3 percent) vs Mexican Peso previous week (63.7 percent)
Brazilian Real (79.9 percent) vs Brazilian Real previous week (64.8 percent)
Bitcoin (33.3 percent) vs Bitcoin previous week (12.4 percent)


Swiss Franc & New Zealand Dollar top the 6-Week Strength Trends

Speculators Trends FX Futures COT Chart
COT Strength Score Trends (or move index, calculates the 6-week changes in strength scores) showed that the Swiss Franc (40 percent) and the New Zealand Dollar (26 percent) lead the past six weeks trends for the currencies. The Canadian Dollar (21 percent), the Australian Dollar (19 percent) and the Japanese Yen (14 percent) are the next highest positive movers in the 3-Year trends data.

Bitcoin (-29 percent) leads the downside trend scores currently with the US Dollar Index (-16 percent) following next with lower trend scores.

3-Year Strength Trends:
US Dollar Index (-15.9 percent) vs US Dollar Index previous week (-17.8 percent)
EuroFX (12.5 percent) vs EuroFX previous week (3.9 percent)
British Pound Sterling (-3.3 percent) vs British Pound Sterling previous week (-6.8 percent)
Japanese Yen (13.9 percent) vs Japanese Yen previous week (14.2 percent)
Swiss Franc (39.9 percent) vs Swiss Franc previous week (28.4 percent)
Canadian Dollar (21.4 percent) vs Canadian Dollar previous week (26.4 percent)
Australian Dollar (18.8 percent) vs Australian Dollar previous week (20.6 percent)
New Zealand Dollar (25.9 percent) vs New Zealand Dollar previous week (21.3 percent)
Mexican Peso (7.5 percent) vs Mexican Peso previous week (4.9 percent)
Brazilian Real (5.3 percent) vs Brazilian Real previous week (-12.5 percent)
Bitcoin (-28.8 percent) vs Bitcoin previous week (-64.6 percent)


Individual COT Forex Markets:

US Dollar Index Futures:

US Dollar Index Forex Futures COT ChartThe US Dollar Index large speculator standing this week reached a net position of -615 contracts in the data reported through Tuesday. This was a weekly boost of 493 contracts from the previous week which had a total of -1,108 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bearish-Extreme with a score of 5.4 percent. The commercials are Bullish-Extreme with a score of 96.2 percent and the small traders (not shown in chart) are Bearish with a score of 24.2 percent.

Price Trend-Following Model: Downtrend

Our weekly trend-following model classifies the current market price position as: Downtrend.

US DOLLAR INDEX StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:55.527.410.2
– Percent of Open Interest Shorts:57.723.611.8
– Net Position:-6151,067-452
– Gross Longs:15,5397,6802,849
– Gross Shorts:16,1546,6133,301
– Long to Short Ratio:1.0 to 11.2 to 10.9 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):5.496.224.2
– Strength Index Reading (3 Year Range):Bearish-ExtremeBullish-ExtremeBearish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:-15.914.72.6

 


Euro Currency Futures:

Euro Currency Futures COT ChartThe Euro Currency large speculator standing this week reached a net position of 84,774 contracts in the data reported through Tuesday. This was a weekly boost of 9,055 contracts from the previous week which had a total of 75,719 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bullish with a score of 61.0 percent. The commercials are Bearish with a score of 35.5 percent and the small traders (not shown in chart) are Bullish-Extreme with a score of 83.3 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

EURO Currency StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:27.954.212.6
– Percent of Open Interest Shorts:16.672.06.0
– Net Position:84,774-134,28249,508
– Gross Longs:209,549406,66094,529
– Gross Shorts:124,775540,94245,021
– Long to Short Ratio:1.7 to 10.8 to 12.1 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):61.035.583.3
– Strength Index Reading (3 Year Range):BullishBearishBullish-Extreme
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:12.5-17.541.1

 


British Pound Sterling Futures:

British Pound Sterling Futures COT ChartThe British Pound Sterling large speculator standing this week reached a net position of 27,216 contracts in the data reported through Tuesday. This was a weekly decrease of -2,019 contracts from the previous week which had a total of 29,235 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bearish with a score of 48.3 percent. The commercials are Bearish with a score of 48.6 percent and the small traders (not shown in chart) are Bullish with a score of 72.4 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

BRITISH POUND StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:46.028.716.8
– Percent of Open Interest Shorts:32.045.114.3
– Net Position:27,216-32,0594,843
– Gross Longs:89,54055,83632,765
– Gross Shorts:62,32487,89527,922
– Long to Short Ratio:1.4 to 10.6 to 11.2 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):48.348.672.4
– Strength Index Reading (3 Year Range):BearishBearishBullish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:-3.32.71.4

 


Japanese Yen Futures:

Japanese Yen Forex Futures COT ChartThe Japanese Yen large speculator standing this week reached a net position of 172,268 contracts in the data reported through Tuesday. This was a weekly reduction of -4,591 contracts from the previous week which had a total of 176,859 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bullish-Extreme with a score of 98.1 percent. The commercials are Bearish-Extreme with a score of 4.3 percent and the small traders (not shown in chart) are Bullish with a score of 74.4 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

JAPANESE YEN StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:54.028.111.1
– Percent of Open Interest Shorts:6.179.67.6
– Net Position:172,268-184,89112,623
– Gross Longs:194,226101,14040,015
– Gross Shorts:21,958286,03127,392
– Long to Short Ratio:8.8 to 10.4 to 11.5 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):98.14.374.4
– Strength Index Reading (3 Year Range):Bullish-ExtremeBearish-ExtremeBullish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:13.9-11.7-9.5

 


Swiss Franc Futures:

Swiss Franc Forex Futures COT ChartThe Swiss Franc large speculator standing this week reached a net position of -23,069 contracts in the data reported through Tuesday. This was a weekly rise of 505 contracts from the previous week which had a total of -23,574 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bullish with a score of 54.1 percent. The commercials are Bearish with a score of 37.0 percent and the small traders (not shown in chart) are Bullish with a score of 79.1 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

SWISS FRANC StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:10.269.819.9
– Percent of Open Interest Shorts:41.738.319.8
– Net Position:-23,06922,99970
– Gross Longs:7,44351,00614,560
– Gross Shorts:30,51228,00714,490
– Long to Short Ratio:0.2 to 11.8 to 11.0 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):54.137.079.1
– Strength Index Reading (3 Year Range):BullishBearishBullish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:39.9-43.630.0

 


Canadian Dollar Futures:

Canadian Dollar Forex Futures COT ChartThe Canadian Dollar large speculator standing this week reached a net position of -82,156 contracts in the data reported through Tuesday. This was a weekly decline of -11,511 contracts from the previous week which had a total of -70,645 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bullish with a score of 51.1 percent. The commercials are Bullish with a score of 52.6 percent and the small traders (not shown in chart) are Bearish-Extreme with a score of 16.1 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

CANADIAN DOLLAR StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:8.881.08.1
– Percent of Open Interest Shorts:40.146.011.8
– Net Position:-82,15691,895-9,739
– Gross Longs:23,250212,80221,276
– Gross Shorts:105,406120,90731,015
– Long to Short Ratio:0.2 to 11.8 to 10.7 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):51.152.616.1
– Strength Index Reading (3 Year Range):BullishBullishBearish-Extreme
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:21.4-21.810.2

 


Australian Dollar Futures:

Australian Dollar Forex Futures COT ChartThe Australian Dollar large speculator standing this week reached a net position of -49,346 contracts in the data reported through Tuesday. This was a weekly decline of -974 contracts from the previous week which had a total of -48,372 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bearish with a score of 41.3 percent. The commercials are Bullish with a score of 60.3 percent and the small traders (not shown in chart) are Bearish with a score of 45.0 percent.

Price Trend-Following Model: Strong Uptrend

Our weekly trend-following model classifies the current market price position as: Strong Uptrend.

AUSTRALIAN DOLLAR StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:14.166.511.8
– Percent of Open Interest Shorts:41.538.312.6
– Net Position:-49,34650,883-1,537
– Gross Longs:25,507119,96421,268
– Gross Shorts:74,85369,08122,805
– Long to Short Ratio:0.3 to 11.7 to 10.9 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):41.360.345.0
– Strength Index Reading (3 Year Range):BearishBullishBearish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:18.8-16.84.6

 


New Zealand Dollar Futures:

New Zealand Dollar Forex Futures COT ChartThe New Zealand Dollar large speculator standing this week reached a net position of -22,612 contracts in the data reported through Tuesday. This was a weekly rise of 523 contracts from the previous week which had a total of -23,135 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bearish with a score of 38.3 percent. The commercials are Bullish with a score of 59.0 percent and the small traders (not shown in chart) are Bullish with a score of 59.7 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

NEW ZEALAND DOLLAR StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:16.874.67.1
– Percent of Open Interest Shorts:54.038.26.3
– Net Position:-22,61222,116496
– Gross Longs:10,20745,3204,303
– Gross Shorts:32,81923,2043,807
– Long to Short Ratio:0.3 to 12.0 to 11.1 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):38.359.059.7
– Strength Index Reading (3 Year Range):BearishBullishBullish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:25.9-27.829.8

 


Mexican Peso Futures:

Mexican Peso Futures COT ChartThe Mexican Peso large speculator standing this week reached a net position of 65,706 contracts in the data reported through Tuesday. This was a weekly lowering of -2,849 contracts from the previous week which had a total of 68,555 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bullish with a score of 62.3 percent. The commercials are Bearish with a score of 38.5 percent and the small traders (not shown in chart) are Bearish with a score of 44.0 percent.

Price Trend-Following Model: Strong Uptrend

Our weekly trend-following model classifies the current market price position as: Strong Uptrend.

MEXICAN PESO StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:66.926.75.3
– Percent of Open Interest Shorts:18.278.22.4
– Net Position:65,706-69,5413,835
– Gross Longs:90,19135,9417,084
– Gross Shorts:24,485105,4823,249
– Long to Short Ratio:3.7 to 10.3 to 12.2 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):62.338.544.0
– Strength Index Reading (3 Year Range):BullishBearishBearish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:7.5-10.026.6

 


Brazilian Real Futures:

Brazil Real Futures COT ChartThe Brazilian Real large speculator standing this week reached a net position of 43,515 contracts in the data reported through Tuesday. This was a weekly rise of 18,554 contracts from the previous week which had a total of 24,961 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bullish with a score of 79.9 percent. The commercials are Bearish-Extreme with a score of 18.8 percent and the small traders (not shown in chart) are Bearish with a score of 40.9 percent.

Price Trend-Following Model: Uptrend

Our weekly trend-following model classifies the current market price position as: Uptrend.

BRAZIL REAL StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:63.930.74.9
– Percent of Open Interest Shorts:19.179.11.2
– Net Position:43,515-47,0683,553
– Gross Longs:62,12329,8474,729
– Gross Shorts:18,60876,9151,176
– Long to Short Ratio:3.3 to 10.4 to 14.0 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):79.918.840.9
– Strength Index Reading (3 Year Range):BullishBearish-ExtremeBearish
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:5.3-4.8-2.6

 


Bitcoin Futures:

Bitcoin Crypto Futures COT ChartThe Bitcoin large speculator standing this week reached a net position of -827 contracts in the data reported through Tuesday. This was a weekly increase of 954 contracts from the previous week which had a total of -1,781 net contracts.

This week’s current strength score (the trader positioning range over the past three years, measured from 0 to 100) shows the speculators are currently Bearish with a score of 33.3 percent. The commercials are Bullish-Extreme with a score of 100.0 percent and the small traders (not shown in chart) are Bearish-Extreme with a score of 0.0 percent.

Price Trend-Following Model: Weak Downtrend

Our weekly trend-following model classifies the current market price position as: Weak Downtrend.

BITCOIN StatisticsSPECULATORSCOMMERCIALSSMALL TRADERS
– Percent of Open Interest Longs:80.76.84.4
– Percent of Open Interest Shorts:83.51.56.9
– Net Position:-8271,548-721
– Gross Longs:23,4531,9861,276
– Gross Shorts:24,2804381,997
– Long to Short Ratio:1.0 to 14.5 to 10.6 to 1
NET POSITION TREND:
– Strength Index Score (3 Year Range Pct):33.3100.00.0
– Strength Index Reading (3 Year Range):BearishBullish-ExtremeBearish-Extreme
NET POSITION MOVEMENT INDEX:
– 6-Week Change in Strength Index:-28.845.3-27.8

 


Article By InvestMacroReceive our weekly COT Newsletter

*COT Report: The COT data, released weekly to the public each Friday, is updated through the most recent Tuesday (data is 3 days old) and shows a quick view of how large speculators or non-commercials (for-profit traders) were positioned in the futures markets.

The CFTC categorizes trader positions according to commercial hedgers (traders who use futures contracts for hedging as part of the business), non-commercials (large traders who speculate to realize trading profits) and nonreportable traders (usually small traders/speculators) as well as their open interest (contracts open in the market at time of reporting). See CFTC criteria here.

Speculator Extremes: Brent, Wheat lead weekly Bullish & Bearish Positions

By InvestMacro

The latest update for the weekly Commitment of Traders (COT) report was released by the Commodity Futures Trading Commission (CFTC) on Friday for data ending on May 13th.

This weekly Extreme Positions report highlights the Most Bullish and Most Bearish Positions for the speculator category. Extreme positioning in these markets can foreshadow strong moves in the underlying market.

To signify an extreme position, we use the Strength Index (also known as the COT Index) of each instrument, a common method of measuring COT data. The Strength Index is simply a comparison of current trader positions against the range of positions over the previous 3 years. We use over 80 percent as extremely bullish and under 20 percent as extremely bearish. (Compare Strength Index scores across all markets in the data table or cot leaders table)


Extreme Bullish Speculator Table


Here Are This Week’s Most Bullish Speculator Positions:

Brent Oil

Extreme Bullish Leader
The Brent Oil speculator position comes in as the most bullish extreme standing this week as the Brent speculator level is currently at a 100 percent score (or maximum) of its 3-year range.

The six-week trend for the percent strength score totaled a rise of 14 points this week. The overall net speculator position was a total of 5,637 net contracts this week with a gain of 3,142 contract in the weekly speculator bets.


Speculators or Non-Commercials Notes:

Speculators, classified as non-commercial traders by the CFTC, are made up of large commodity funds, hedge funds and other significant for-profit participants. The Specs are generally regarded as trend-followers in their behavior towards price action – net speculator bets and prices tend to go in the same directions. These traders often look to buy when prices are rising and sell when prices are falling. To illustrate this point, many times speculator contracts can be found at their most extremes (bullish or bearish) when prices are also close to their highest or lowest levels.

These extreme levels can be dangerous for the large speculators as the trade is most crowded, there is less trading ammunition still sitting on the sidelines to push the trend further and prices have moved a significant distance. When the trend becomes exhausted, some speculators take profits while others look to also exit positions when prices fail to continue in the same direction. This process usually plays out over many months to years and can ultimately create a reverse effect where prices start to fall and speculators start a process of selling when prices are falling.

 


Japanese Yen

Extreme Bullish Leader
The Japanese Yen speculator position comes next in the extreme standings this week. The JPY speculator level is now at a 98 percent score of its 3-year range.

The six-week trend for the percent strength score was a gain by 14 points this week. The speculator position registered 172,268 net contracts this week with a weekly decline of -4,591 contracts in speculator bets.


VIX

Extreme Bullish Leader
The VIX speculator position comes in third this week in the extreme standings. The VIX speculator level resides at a 96 percent score of its 3-year range.

The six-week trend for the speculator strength score came in at 14 this week. The overall speculator position was 6,099 net contracts this week with a drop of -4,844 contracts in the weekly speculator bets.


Nikkei 225

Extreme Bullish Leader
The Nikkei 225 speculator position comes up number four in the extreme standings this week. The Nikkei 225 speculator level is at a 96 percent score of its 3-year range.

The six-week trend for the speculator strength score totaled a boost by 35 points this week. The overall speculator position was 1,904 net contracts this week with a rise by 2,025 contracts in the speculator bets.


Brazil Real

Extreme Bullish Leader
The Brazil Real speculator position rounds out the top five in this week’s bullish extreme standings. The BRL speculator level sits at a 80 percent score of its 3-year range. The six-week trend for the speculator strength score was 5 this week.

The speculator position was 43,515 net contracts this week with a jump by 18,554 contracts in the weekly speculator bets.


Extreme Bearish Speculator Table


This Week’s Most Bearish Speculator Positions:

Wheat

Extreme Bearish Leader
The Wheat speculator position comes in as the most bearish extreme standing this week. The Wheat speculator level is at a 0 percent score of its 3-year range.

The six-week trend for the speculator strength score was -11 points this week. The overall speculator position was -118,100 net contracts this week with a decrease by -10,563 contracts in the speculator bets.


5-Year Bond

Extreme Bearish Leader
The 5-Year Bond speculator position comes in next for the most bearish extreme standing on the week. The 5-Year speculator level is at a 5 percent score of its 3-year range.

The six-week trend for the speculator strength score was -7 points this week. The speculator position was -2,180,043 net contracts this week with a rise of 116,453 contracts in the weekly speculator bets.


Heating Oil

Extreme Bearish Leader
The Heating Oil speculator position comes in as third most bearish extreme standing of the week. The Heating Oil speculator level resides at a 5 percent score of its 3-year range.

The six-week trend for the speculator strength score was -25 points this week. The overall speculator position was -29,396 net contracts this week with an increase of 2,214 contracts in the speculator bets.


US Dollar Index

Extreme Bearish Leader
The US Dollar Index speculator position comes in as this week’s fourth most bearish extreme standing. The USD Index speculator level is at a 5 percent score of its 3-year range.

The six-week trend for the speculator strength score was -16 points this week. The speculator position was -615 net contracts this week with an advance by 493 contracts in the weekly speculator bets.


2-Year Bond

Extreme Bearish Leader
Finally, the 2-Year Bond speculator position comes in as the fifth most bearish extreme standing for this week. The 2-Year speculator level is at a 18 percent score of its 3-year range.

The six-week trend for the speculator strength score was 0 this week. The speculator position was -1,222,232 net contracts this week with a dip by -1,439 contracts in the weekly speculator bets.


Article By InvestMacroReceive our weekly COT Newsletter

*COT Report: The COT data, released weekly to the public each Friday, is updated through the most recent Tuesday (data is 3 days old) and shows a quick view of how large speculators or non-commercials (for-profit traders) were positioned in the futures markets.

The CFTC categorizes trader positions according to commercial hedgers (traders who use futures contracts for hedging as part of the business), non-commercials (large traders who speculate to realize trading profits) and nonreportable traders (usually small traders/speculators) as well as their open interest (contracts open in the market at time of reporting). See CFTC criteria here.

Piper Sandler leads latest Small-Cap Stock System Scores

By InvestMacro Research | Stock Market Ideas

The second quarter of 2025 is underway and we wanted to highlight three of the top small-cap companies that have been just recently added to our Cosmic Rays Watchlist. Today’s group includes a financial services company, an industrial company and a communications provider.

The Cosmic Rays Watchlist is the output from our proprietary fundamental analysis algorithm. The algo examines company fundamental metrics, earnings trends and overall sector strength trends. The aim is identify quality dividend-paying companies on the NYSE and Nasdaq stock exchanges. If a company scores over 50, it gets added to our Watchlist for further analysis.

We use this system as a stock market ideas generator and to update our Watchlist every quarter. However, be aware the fundamental system does not take the stock price as a direct element in our rating so one must compare each idea with their current stock prices (this is not a timing tool).

Currently, the total number of stocks in our model is 1,291. We have scored 12,949 quarterly earnings reports so far and overall, only 7.74% of company earnings reports have come in with a 50 or above score.

Many studies are consistently showing overvalued markets and that has to be taken into consideration with any stock market idea. As with all investment ideas, past performance does not guarantee future results. A stock added to our list is not a recommendation to buy or sell the security.

Here we go with 3 of our Top Small-Cap Stocks scored in Q1 2025:


Piper Sandler Companies (PIPR):

Piper Sandler Companies (Symbol: PIPR) was recently added to our Cosmic Rays WatchList. PIPR scored a 81 in our fundamental rating system on May 5th, 2025.

At time of writing, only 0.66% of stocks have scored a 80 or better out of a total of 12,949 scores in our earnings database. This stock has made our Watchlist a total of 2 times.

PIPR is a Small-Cap stock and part of the Financial Services sector. The industry focus for PIPR is the Capital Markets.

Piper Sandler

– P.E. ratio: 23.38
– Dividend: approximately 1.00%
– Dividend payout ratio: approximately 25%
– Earnings: Earnings PerShare (EPS) has risen 3 out of the last 4 quarters, beating analyst expectations for the last 2 quarters in a row

Piper Sandler Price Performance:
– Trades above 0.382 fibonacci retracement level (2022 to present)
– Down 11% year to date
– Up 20% in the last month

Company Description (courtesy of SEC.gov):

Piper Sandler Companies operates as an investment bank and institutional securities firm that serves corporations, private equity groups, public entities, non-profit entities, and institutional investors in the United States and internationally. The company offers investment banking and institutional sales, trading, and research services for various equity and fixed income products. Company Website: https://www.pipersandler.com


 

Asset vs Sector Benchmark:*P/E Ratio (TTM)*52-Week Price Return
– Stock: Piper Sandler Companies (PIPR)23.3825.84
– Benchmark Symbol: XLF17.0121.85

 

* Data through May 14, 2025


Griffon Corporation (GFF):

Griffon Corporation (Symbol: GFF) was recently added to our Cosmic Rays WatchList. GFF scored a 56 in our fundamental rating system on May 9th, 2025.

At time of writing, only 7.74% of stocks have scored a 50 or better out of a total of 12,949 scores in our earnings database. This stock is on our Watchlist for the first time after rising by 10 system points from our last update.

GFF is a Small-Cap stock and part of the Industrials sector. The industry focus for GFF is Conglomerates.

Griffon Company:
– P.E. ratio: 15.45
– Dividend ratio: approximately 1%
– Payout ratio: approximately 15%
– Beaten analysts’ EPS expectations for three straight quarters
– EPS, P.E., and 5-year average P.E. below the industry average

Griffon Corporation Price Performance:
– Uptrend since 2022
– Trades above 0.236 fibonacci retracement level (2020 to present)
– Up 2.50% year to date
– Up 3.60% in the last month

Company Description (courtesy of SEC.gov):

Griffon Corporation, through its subsidiaries, provides consumer and professional, and home and building products in the United States, Europe, Canada, Australia, and internationally. Company Website: https://www.griffon.com


 

Asset vs Sector Benchmark:*P/E Ratio (TTM)*52-Week Price Return
– Stock: Griffon Corporation (GFF)15.453.26
– Benchmark Symbol: XLI24.5112.01

 

* Data through May 14, 2025


TEGNA Inc. (TGNA):

TEGNA Inc. (Symbol: TGNA) was recently added to our Cosmic Rays WatchList. TGNA scored a 61 in our fundamental rating system on May 9th, 2025.

At time of writing, only 4.43% of stocks have scored a 60 or better out of a total of 12,949 scores in our earnings database. This stock has made our Watchlist a total of 4 times and rose by 25 system points from our last update.

TGNA is a Small-Cap stock and part of the Communication Services sector. The industry focus for TGNA is Broadcasting.

Tenga:
– P.E. ratio: 6.26
– Dividend ratio: slightly under 3%
– Dividend payout ratio: around 18%
– Beaten analysts’ expectations for four quarters
– EPS, P.E., and 5-year P.E. average below the industry average

Price Performance:
– Down 4% year-to-date
– Trading off the April lows
– Up over 13% in the last month
– Trades above 0.50 fibonacci retracement level (2020 to present)

Company Description (courtesy of SEC.gov):

TEGNA Inc. operates as a media company in the United States. The company operates television stations that deliver television programming and digital content. It offers news content to consumers across various platforms, including online, mobile, and social platforms; owns and operates multicast networks under the names True Crime Network, Quest, and Twist that offer on-demand episodes of shows; and operates VAULT Studios, which provides True Crime Network and Quest. Company Website: https://www.tegna.com


 

Asset vs Sector Benchmark:*P/E Ratio (TTM)*52-Week Price Return
– Stock: TEGNA Inc. (TGNA)6.2616.93
– Benchmark Symbol: XLC19.0920.18

 

* Data through May 14, 2025


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Utilities choosing coal, solar, nuclear or other power sources have a lot to consider, beyond just cost

By Erin Baker, UMass Amherst and Paola Pimentel Furlanetto, UMass Amherst 

The Trump administration is working to lift regulations on coal-fired power plants in the hopes of making its energy less expensive. But while cost is one important aspect, utilities have a lot more to consider when they choose their power sources.

Different technologies play different roles in the power system. Some sources, like nuclear energy, are reliable but inflexible. Other sources, like oil, are flexible but expensive and polluting.

How utilities choose which power source to invest in depends in large part on two key aspects: price and reliability.

Power prices

One way to compare power sources is by their levelized cost of electricity. This shows how much it costs to produce one unit of electricity on average over the life of the generator.

The asset management firm Lazard has produced levelized cost of electricity calculations for the major U.S. electricity sources annually for years, and it has tracked a sharp decline in solar power costs in particular.

Coal is one of the more expensive technologies for utilities today, making it less competitive compared with solar, wind and natural gas, by Lazard’s calculations. Only nuclear, offshore wind and “peaker” plants, which are used only during periods of high electricity demand, are more expensive.

Land-based wind and solar power have the lowest estimated costs, far below what consumers are paying for electricity today. The National Renewable Energy Lab has found similar levelized costs for renewable energy, though its estimates for nuclear are lower than Lazard’s.

Upfront costs are also important and can make the difference for whether new power projects can be built, as the East Coast has seen lately.

Several offshore wind farms planned along the Northeast were canceled in recent years as costs rose due to inflation and supply chain problems during the pandemic. Construction costs for the two newest nuclear generators built in the U.S. also rose considerably as the projects, both in the Southeast, faced delays.

Reliability and flexibility matter

But cost is not the whole story. Utilities must balance a number of criteria when investing in power sources.

Most important is matching supply and demand at every moment of the day. Due to the technical characteristics of electricity and how it flows, if the supply of electricity is even a little bit lower than the demand, that can trigger a blackout. This means power companies and consumers need generation that can ramp down when demand is low and ramp up when demand is high.

Since wind and solar generation depend on the wind blowing and the sun shining, these sources must be combined with other types of generation or with storage, such as batteries, to ensure the power grid has exactly as much power as it needs at all times.

Nuclear and coal are predictable and run reliably, but they are inflexible – they take time to ramp up and down, and doing so is expensive. Steam turbines are simply not built for flexibility. The multiple days it took to shut down Japan’s Fukushima Daiichi Nuclear Power Plant after an earthquake and tsunami damaged its backup power sources in 2011 illustrated the challenges and safety issues related to ramping down nuclear plants.

That means coal and nuclear aren’t as helpful on those hot summer days when utilities need a quick power increase to keep air conditioners running. These peaks may only happen a few days a year, but keeping the power on is crucial for human health and the economy.

In today’s energy system, the most flexible generation sources are natural gas and hydro. They can quickly adjust to meet changing electricity demand without the safety and cost concerns of coal and nuclear. Hydro can ramp in minutes but can only be built where large dams are feasible. The most cost-effective natural gas technology can ramp up within hours.

The big picture, by power source

Over the past two decades, natural gas use has risen quickly to overtake coal as the most common fuel for generating electricity in the U.S. The boom was largely driven by the growing use of fracking technology, which allowed producers to extract gas from rock and lowered the price.

Natural gas’s low price and high flexibility make it an attractive choice. Its rise is a large part of the reason coal use has plummeted.

But natural gas has its challenges. Natural gas requires pipelines to carry it across the country, leading to disruptive construction. As Texas saw during its February 2021 blackouts, natural gas equipment can also fail in extreme cold. And like coal, natural gas is a fossil fuel that releases greenhouse gases during combustion, so it is also helping to cause climate change and contributes to air pollution that can harm human health.

Nuclear power has been gaining interest recently since it does not contribute to climate change or local air pollution. It also provides a steady baseload of power, which is useful for computing centers as their demand does not fluctuate as much as households.

Of course, nuclear has ongoing challenges around the storage of radioactive waste and security concerns, and construction of large nuclear plants takes many years.

Coal is more flexible than nuclear, but far less so than natural gas or hydropower. Most concerning, coal is extremely dirty, emitting more climate-change-causing gases, and far more air pollution than natural gas.

Solar and wind have grown rapidly in recent years due to their falling costs and environmental benefits. According to Lazard, the cost of solar combined with batteries, which would be as flexible as hydropower, is well below the cost of coal with its limited flexibility.

However, wind and solar tend to take up a lot of space, which has led to challenges in local approvals for new sites and transmission lines. In addition, the sheer number of new projects is overwhelming power system operators’ ability to evaluate them, leading to increasing wait times for new generation to come online.

What’s ahead?

Utilities have another consideration: Federal, state and local governments can also influence and sometimes limit utilities’ choices. Tariffs, for example, can increase the cost of critical components for new construction. Permitting and regulations can slow down development. Subsidies can artificially lower costs.

In our view, policies that are done right can help utilities move toward more reliable and cost-effective choices which are also cleaner. Done wrong, they can be costly to the economy and the environment.The Conversation

About the Author:

Erin Baker, Distinguished Professor of Industrial Engineering and Faculty Director of The Energy Transition Institute, UMass Amherst and Paola Pimentel Furlanetto, Ph.D. candidate in Industrial Engineering and Operations Research, UMass Amherst

This article is republished from The Conversation under a Creative Commons license. Read the original article.

 

Challenges to high-performance computing threaten US innovation

By Jack Dongarra, University of Tennessee 

High-performance computing, or HPC for short, might sound like something only scientists use in secret labs, but it’s actually one of the most important technologies in the world today. From predicting the weather to finding new medicines and even training artificial intelligence, high-performance computing systems help solve problems that are too hard or too big for regular computers.

This technology has helped make huge discoveries in science and engineering over the past 40 years. But now, high-performance computing is at a turning point, and the choices the government, researchers and the technology industry make today could affect the future of innovation, national security and global leadership.

High-performance computing systems are basically superpowerful computers made up of thousands or even millions of processors working together at the same time. They also use advanced memory and storage systems to move and save huge amounts of data quickly.


Oak Ridge National Laboratory’s Frontier supercomputer is one of the world’s fastest.
Oak Ridge Leadership Computing Facility, CC BY

With all this power, high-performance computing systems can run extremely detailed simulations and calculations. For example, they can simulate how a new drug interacts with the human body, or how a hurricane might move across the ocean. They’re also used in fields such as automotive design, energy production and space exploration.

Lately, high-performance computing has become even more important because of artificial intelligence. AI models, especially the ones used for things such as voice recognition and self-driving cars, require enormous amounts of computing power to train. High-performance computing systems are well suited for this job. As a result, AI and high-performance computing are now working closely together, pushing each other forward.

Lawrence Livermore National Laboratory’s supercomputer El Capitan is currently the world’s fastest.

I’m a computer scientist with a long career working in high-performance computing. I’ve observed that high-performance computing systems are under more pressure than ever, with higher demands on the systems for speed, data and energy. At the same time, I see that high-performance computing faces some serious technical problems.

Technical challenges

One big challenge for high-performance computing is the gap between how fast processors are and how well memory systems can keep up with the processors’ output. Imagine having a superfast car but being stuck in traffic – it doesn’t help to have speed if the road can’t handle it. In the same way, high-performance computing processors often have to wait around because memory systems can’t send data quickly enough. This makes the whole system less efficient.

Another problem is energy use. Today’s supercomputers use a huge amount of electricity, sometimes as much as a small town. That’s expensive and not very good for the environment. In the past, as computer parts got smaller, they also used less power. But that trend, called Dennard scaling, stopped in the mid-2000s. Now, making computers more powerful usually means they use more energy too. To fix this, researchers are looking for new ways to design both the hardware and the software of high-performance computing systems.

There’s also a problem with the kinds of chips being made. The chip industry is mainly focused on AI, which works fine with lower-precision math like 16-bit or 8-bit numbers. But many scientific applications still need 64-bit precision to be accurate. The greater the bit count, the more digits to the right of the decimal point a chip can process, hence the greater precision. If chip companies stop making the parts that scientists need, then it could become harder to do important research.

This report discusses how trends in semiconductor manufacturing and commercial priorities may diverge from the needs of the scientific computing community, and how a lack of tailored hardware could hinder progress in research.

One solution might be to build custom chips for high-performance computing, but that’s expensive and complicated. Still, researchers are exploring new designs, including chiplets – small chips that can be combined like Lego bricks – to make high-precision processors more affordable.

A global race

Globally, many countries are investing heavily in high-performance computing. Europe has the EuroHPC program, which is building supercomputers in places such as Finland and Italy. Their goal is to reduce dependence on foreign technology and take the lead in areas such as climate modeling and personalized medicine. Japan built the Fugaku supercomputer, which supports both academic research and industrial work. China has also made major advances, using homegrown technology to build some of the world’s fastest computers. All of these countries’ governments understand that high-performance computing is key to their national security, economic strength and scientific leadership.

The U.S.-China supercomputer rivalry explained.

The United States, which has been a leader in high-performance computing for decades, recently completed the Department of Energy’s Exascale Computing Project. This project created computers that can perform a billion billion operations per second. That’s an incredible achievement. But even with that success, the U.S. still doesn’t have a clear, long-term plan for what comes next. Other countries are moving quickly, and without a national strategy, the U.S. risks falling behind.

I believe that a U.S. national strategy should include funding new machines and training for people to use them. It would also include partnerships with universities, national labs and private companies. Most importantly, the plan would focus not just on hardware but also on the software and algorithms that make high-performance computing useful.

Hopeful signs

One exciting area for the future is quantum computing. This is a completely new way of doing computation based on the laws of physics at the atomic level. Quantum computers could someday solve problems that are impossible for regular computers. But they are still in the early stages and are likely to complement rather than replace traditional high-performance computing systems. That’s why it’s important to keep investing in both kinds of computing.

The good news is that some steps have already been taken. The CHIPS and Science Act, passed in 2022, provides funding to expand chip manufacturing in the U.S. It also created an office to help turn scientific research into real-world products. The task force Vision for American Science and Technology, launched on Feb. 25, 2025, and led by American Association for the Advancement of Science CEO Sudip Parikh, aims to marshal nonprofits, academia and industry to help guide the government’s decisions. Private companies are also spending billions of dollars on data centers and AI infrastructure.

All of these are positive signs, but they don’t fully solve the problem of how to support high-performance computing in the long run. In addition to short-term funding and infrastructure investments, this means:

  • Long-term federal investment in high-performance computing R&D, including advanced hardware, software and energy-efficient architectures.
  • Procurement and deployment of leadership-class computing systems at national labs and universities.
  • Workforce development, including training in parallel programming, numerical methods and AI-HPC integration.
  • Hardware road map alignment, ensuring commercial chip development remains compatible with the needs of scientific and engineering applications.
  • Sustainable funding models that prevent boom-and-bust cycles tied to one-off milestones or geopolitical urgency.
  • Public-private collaboration to bridge gaps between academic research, industry innovation and national security needs.

High-performance computing is more than just fast computers. It’s the foundation of scientific discovery, economic growth and national security. With other countries pushing forward, the U.S. is under pressure to come up with a clear, coordinated plan. That means investing in new hardware, developing smarter software, training a skilled workforce and building partnerships between government, industry and academia. If the U.S. does that, the country can make sure high-performance computing continues to power innovation for decades to come.The Conversation

About the Author:

Jack Dongarra, Emeritus Professor of Computer Science, University of Tennessee

This article is republished from The Conversation under a Creative Commons license. Read the original article.