Coinbase reports disappointing results for Q2

Coinbase reports disappointing results for Q2 – the stock is falling

Klavs Valters

30/8/2024

•

0 min read

Share this post

Coinbase Global Inc. (COIN) released its financial results for Q2 after the market close in the US on Tuesday. The company reported revenue that fell short of Wall Street expectations at $808.325 million for Q2 vs. $873.82 million expected. Coinbase reported a loss per share of -$4.98 per share vs. -$2.47 loss per share expected. ''Q2 was a test of durability for crypto companies and a complex quarter overall.

Dramatic market movements shifted user behaviour and trading volume, which impacted transaction revenue, but also highlighted the strength of our risk management program. We are focusing on our top business priorities and more tightly managing expenses.'' ''The decline in crypto asset prices significantly impacted our Q2 financial results, which were consistent with the outlook provided in May. Net revenue was $803 million, down 31% compared to Q1, driven by lower trading volume.

Total operating expenses were $1.9 billion, up 8% compared to Q1. Net loss was $1.1 billion and was heavily impacted by non-cash impairment charges. Absent non-cash impairment charges, net loss would have been $647 million.

Adjusted EBITDA was negative $151 million,'' the company wrote in a letter to shareholders. Coinbase Global Inc. (COIN) chart Share price of Coinbase was down by 10.55% on Tuesday, trading $87.49 a share. The stock fell further in after-hours following the release of the latest financial results, down by around 3%.

Here is how the stock has performed in the past year: 1 month +61.65% 3 months +20.13% Year-to-date -65.26% 1 year -67.49% Coinbase price targets Citigroup $105 DA Davidson $90 Mizuho $42 JMP Securities $205 Atlantic Equities $54 Goldman Sachs $45 JP Morgan $68 Coinbase Global Inc. is the 754 th largest company in the world with a market cap of $22.96 billion. You can trade Coinbase Global Inc. (COIN) and many other stocks from the NYSE, NASDAQ, HKEX and the ASX with GO Markets as a Share CFD. Sources: Coinbase Global Inc., TradingView, MetaTrader 5, Benzinga, CompaniesMarketCap

Klavs Valters

Account Manager, GO Markets London.

Los artículos son elaborados por analistas y colaboradores de GO Markets y se basan en su propio análisis independiente o en sus experiencias personales. Las opiniones, puntos de vista o estilos de trading expresados son propios de los autores y no deben considerarse como representativos de, ni compartidos por, GO Markets. Cualquier consejo proporcionado es de carácter “general” y no tiene en cuenta tus objetivos, situación financiera ni necesidades personales. Considera si dicho consejo es adecuado para tus objetivos, situación financiera y necesidades antes de actuar sobre él. Si el consejo se refiere a la adquisición de un producto financiero en particular, debes obtener nuestra Declaración de Divulgación (Disclosure Statement, DS) y otros documentos legales disponibles en nuestro sitio web antes de tomar cualquier decisión.

Will the US dollar fall further in 2026? Four headwinds to watch

2025 has seen a material decline in the fortunes of the greenback. A technical structure breakdown early in the year was followed by a breach of the 200-day moving average (MA) at the end of Q1. The index then entered correction territory, printing a three-year low at the end of Q2.

Since then, we have seen attempts to build a technical base, including a re-test of the end-of-June lows in mid-September. However, buying pressure has not been strong enough to push price back above the technically critical and psychologically important 100 level.

What the levels suggest from here

As things stand, the index remains more than 10% lower for 2025. On this technical view, the index may revisit the 96 area. However, technical levels can fail and outcomes depend on multiple factors.

US dollar index

The key question for 2026

The key question remains: are we likely to see further losses in the early part of next year and beyond, or will current support hold?

We cannot assess the US dollar in isolation and any outlook is shaped by internal and global factors, not least its relative strength versus other major currencies. Many of these drivers are interrelated, but four potential headwinds stand out for any US dollar recovery. Collectively, they may keep downside pressure in play.

Four headwinds for any US dollar recovery

1. The US dollar as a safe-haven trade

One scenario where US dollar support has historically been evident is during major global events, slowdowns and market shocks. However, the more muted response of the US dollar during risk-off episodes this year suggests a shift away from the historical norm, with fewer sustained US dollar rallies.

Instead, throughout 2025, some investors appeared to favour gold, and at other times, FX and even equities, rather than into the US dollar. If this change in behaviour persists through 2026, it could make recovery harder, even if global economic pressure builds over the year ahead.

2. US versus global trade

Trade policy is harder to measure objectively, and outcomes can be difficult to predict. That said, trade battles driven by tariffs on US imports are often viewed as an additional potential drag on the US dollar.

The impact may be twofold if additional strain is placed on the US economy through:

a slowdown in global trade volumes as impacted countries seek alternative trade relationships, with supply chain distortions that may not favour US growth
pressure on US corporate profit margins as tariffs lift costs for importers

3. Removal of quantitative tightening

The Fed formally halted its balance sheet reduction, quantitative tightening (QT), as of 1 December 2025, ending a program that shrank assets by roughly US$2.4 trillion since mid-2022.

Traditionally, ending QT is seen as marginally negative for the US dollar because it stops the withdrawal of liquidity, can ease global funding conditions, and may reduce the scarcity that can support dollar demand. Put simply, more dollars in the system can soften the currency’s support at the margin, although outcomes have varied historically and often depend on broader financial conditions.

4. Interest rate differential

Interest rate differential (IRD) is likely to be a primary driver of US dollar strength, or otherwise, in the months ahead. The latest FOMC meeting delivered the expected 0.25% cut, with attention on guidance for what may come next.

Even after a softer-than-expected CPI print, markets have been reluctant to price aggressive near-term easing. At the time of writing, less than a 20% chance of a January cut is priced in, and it may be March before we see the next move.

The Fed is balancing sticky inflation against a jobs market under pressure, with the headline rate back at levels last seen in 2012. The practical takeaway is that a more accommodative stance may add to downward pressure on the US dollar.

Current expectations imply around two rate cuts through 2026, with the potential for further easing beyond that, broadly consistent with the median projections shown in the chart below. These are forecasts rather than guarantees, and they can shift as economic data and policy guidance evolve.

Interest rate differential (IRD) — Source: US Federal Reserve, Summart of Economic Projections

Mike Smith

•

December 22, 2025

The Magnificent Seven’s $385 Billion AI War

The “Magnificent Seven” technology companies are expected to invest a combined $385 billion into AI by the end of 2025.

‍Microsoft is positioning itself as the platform leader. Nvidia dominates the underlying AI infra. Google leads in research. Meta is building open-source tech. Amazon – AI agents. Apple — on-device integration. And Tesla pioneering autonomous vehicles and robots.

The “Big 4” tech companies' AI spending alone is forecast at $364 billion.

With such enormous sums pouring into AI, is this a winner-take-all game?

Or will each of the Mag Seven be able to thrive in the AI future?

Microsoft: The AI Everywhere Strategy

Microsoft has made one of the biggest bets on AI out of the Mag Seven — adopting the philosophy that AI should be everywhere.

Through its deep partnership with OpenAI, of which it is a 49% shareholder, the company has integrated GPT-5 across its entire ecosystem.

‍Key initiatives:

GPT-5 integration across consumer, enterprise, and developer tools through Microsoft 365 Copilot, GitHub Copilot, and Azure AI Foundry
Azure AI Foundry for unified AI development platform with model router technology
Copilot ecosystem spanning productivity, coding, and enterprise applications with real-time model selection
$100 billion projected AI infrastructure spending for 2025

Microsoft’s centrepiece is Copilot, which can now detect whether a prompt requires advanced reasoning and route to GPT-5's deeper reasoning model.

This (theoretically) means high-quality AI outputs become invisible infrastructure rather than a skill users need to learn.

However, this all-in bet on OpenAI does come with some risks. It is putting all its eggs in OpenAI's basket, tying its future success to a single partnership.

Elon Musk warned that "OpenAI is going to eat Microsoft alive"[/caption]

Google: The Research Strategy

Google’s approach is to fund research to build the most intelligent models possible. This research-first strategy creates a pipeline from scientific discovery to commercial products — what it hopes will give it an edge in the AI race.

‍Key initiatives:

Over 4 million developers building with Gemini 2.5 Pro and Flash
Ironwood TPU offering 3,600 times better performance compared to Google’s first TPU
AI search overviews reaching 2 billion monthly users across Google Search
DeepMind breakthroughs: AlphaEvolve for algorithm discovery, Aeneas for ancient text interpretation, AlphaQubit for quantum error detection, and AI co-scientist systems

Google’s AI research branch, DeepMind, brings together two of the world's leading AI research labs — Google Brain and DeepMind — the former having invented the Transformer architecture that underpins almost all modern large language models.

The bet is that breakthrough research in areas like quantum computing, protein folding, and mathematical reasoning will translate into a competitive advantage for Google.

Today, we're introducing AlphaEarth Foundations from @GoogleDeepMind , an AI model that functions like a virtual satellite which helps scientists make informed decisions on critical issues like food security, deforestation, and water resources. AlphaEarth Foundations provides a… pic.twitter.com/L1rk2Z5DKk

— Google AI (@GoogleAI) July 30, 2025

Meta: The Open Source Strategy

Meta has made a somewhat contrarian bet in its approach to AI: giving away their tech for free. The company's Llama 4 models, including recently released Scout and Maverick, are the first natively multi-modal open-weight models available.

‍Key initiatives:

Llama 4 Scout and Maverick - first open-weight natively multi-modal models
AI Studio that enables the creation of hundreds of thousands of AI characters
$65-72 billion projected AI infrastructure spending for 2025

This open-source strategy directly challenges the closed-source big players like GPT and Claude. By making AI models freely available, Meta is essentially commoditizing what competitors are trying to monetize. Meta's bet is that if AI models become commoditized, the real value will be in the infrastructure that sits on top. Meta's social platforms and massive user base give it a natural advantage if this eventuates.

Meta's recent quarter was also "the best example to date of AI having a tangible impact on revenue and earnings growth at scale," according to tech analyst Gene Munster.

H1 relative performance of the Magnificent Seven stocks. Source: KoyFin, Finimize

However, it hasn’t been all smooth sailing for Meta. Their most anticipated release, Llama Behemoth, has all but been scrapped due to performance issues. And Meta is now rumored to be developing a closed-source Behemoth alternative, despite their open-source mantra.

Amazon: The AI Agent Strategy

Amazon’s strategy is to build the infrastructure for AI that can take actions — booking meetings, processing orders, managing workflows, and integrating with enterprise systems.

Rather than building the best AI model, Amazon has focused its efforts on becoming the platform where all AI models live.

‍Key initiatives:

Amazon Bedrock offering 100+ foundation models from leading AI companies, including OpenAI models.
$100 million additional investment in AWS Generative AI Innovation Center for agentic AI development
Amazon Bedrock AgentCore enabling deployment and scaling of AI agents with enterprise-grade security
$118 billion projected AI infrastructure spending for 2025

The goal is to become the “orchestrator” that lets companies mix and match the best models for different tasks.

Amazon’s AgentCore will provide the underlying memory management, identity controls, and tool integration needed for these companies to deploy AI agents safely at scale.

This approach offers flexibility, but does carry some risks. Amazon is essentially positioning itself as the middleman for AI. If AI models become commoditized or if companies prefer direct relationships with AI providers, Amazon's systems could become redundant.

Nvidia: The Infra Strategy

Nvidia is the one selling the shovels for the AI gold rush. While others in the Mag Seven battle to build the best AI models and applications, Nvidia provides the fundamental computing infrastructure that makes all their efforts possible.

This hardware-first strategy means Nvidia wins regardless of which company ultimately dominates. As AI advances and models get larger, demand for Nvidia's chips only increases.

‍Key initiatives:

Blackwell architecture achieving $11 billion in Q2 2025 revenue, the fastest product ramp in company history
New chip roadmap: Blackwell Ultra (H2 2025), Vera Rubin (H2 2026), Rubin Ultra (H2 2027)
Data center revenue reaching $35.6 billion in Q2, representing 91% of total company sales
Manufacturing scale-up with 350 plants producing 1.5 million components for Blackwell chips

With an announced product roadmap of Blackwell Ultra (2025), Vera Rubin (2026), and Rubin Ultra (2027), Nvidia has created a system where the AI industry must continuously upgrade to Nvidia’s newest tech to stay competitive.

This also means that Nvidia, unlike the others in the Mag Seven, has almost no direct AI spending — it is the one selling, not buying.

However, Nvidia is not indestructible. The company recently halted its H20 chip production after the Chinese government effectively blocked the chip, which was intended as a workaround to U.S. export controls.

Apple: The On-Device Strategy

Apple's AI strategy is focused on privacy, integration, and user experience. Apple Intelligence, the AI system built into iOS, uses on-device processing and Private Cloud Compute to help ensure user data is protected when using AI.

‍Key initiatives:

Apple Intelligence with multi-model on-device processing and Private Cloud Compute
Enhanced Siri with natural language understanding and ChatGPT integration for complex queries
Direct developer access to on-device foundation models, enabling offline AI capabilities
$10-11 billion projected AI infrastructure spending for 2025

The drawback of this on-device approach is that it requires powerful hardware from the user's end. Apple Intelligence can only run on devices with a minimum of 8GB RAM, creating a powerful upgrade cycle for Apple but excluding many existing users.

Tesla: The Robo Strategy

Tesla's AI strategy focuses on two moonshot applications: Full Self-Driving vehicles and humanoid robots.

This is the 'AI in the physical world' play. While others in the Mag Seven are focused on the digital side of AI, Tesla is building machines that use AI for physical operations.

Tesla’s Optimus robot replicating human tasks

‍Key initiatives:

Plans for 5,000-10,000 Optimus robots in 2025, scaling to 50,000 in 2026
Robotaxi service targeting availability to half the U.S. population by EOY 2025
AI6 chip development with Samsung for unified training across vehicles, robots, and data centers
$5 billion projected AI infrastructure spending for 2025

This play is exponentially harder to develop than digital AI, and the markets have reflected low confidence that Tesla can pull it off.

TSLA has been the worst-performing Mag Seven stock of 2025, down 18.37% in H1 2025.

However, if Tesla’s strategy is successful, it could be far more valuable than other AI plays. Robots and autonomous vehicles could perform actual labour worth trillions of dollars annually.

The $385 billion Question

The Mag Seven are starting to see real revenue come in from their AI investments. But they're pouring that money (and more) back into AI, betting that the boom is just getting started.

The platform players like Microsoft and Amazon are betting on becoming essential infrastructure. Nvidia’s play is to sell the underlying hardware to everyone. Google and Meta compete on capability and access. While Apple and Tesla target specific use cases.

The $385 billion question is which of the Magnificent Seven has bet the right way? Or will a new player rise and usurp the long-standing tech giants altogether?

‍You can access all Magnificent Seven stocks and thousands of other Share CFDs on GO Markets.

GO Markets

•

August 22, 2025

The Third Digital revolution – The “Now” Questions for AI

Over the past 3 months Nvidia has moved through ranges that some stocks don’t do in years, in some cases decades. Having lost over 35 per cent in the June to August sell off, it quickly bounced over 40 per cent in the preceding 20 days once it hit its August low as we build positions ahead of its results. These results delivered Nvidia style numbers with three figure growth on the sales, net profit and earnings lines but this did not appease the market, seeing it fall 22 per cent in a little over 8 days.

Which brings us to now – a new 16 per cent drive as Nivida reports it’s struggling to meet demands and that the AI revolution is translating faster than even it expected. This got us thinking – Where are we right “Now” in the AU players? Thus, it’s time to dive into the drivers for the Nvidia and Co.

AI players. Supersonic As mentioned, Nvidia’s results have been astonishing – and it still has time to do a US$50 billion buyback. It collected the award for becoming the world’s largest company in the shortest timeframe in the post-WWII era, think about that for one second – that’s faster than Amazon, Microsoft, Apple, Google, Shell, BP, ExxonMobil, TV players of the 60s and 70s.

So the question is how does it keep its speed and trajectory? Well that comes from what some are calling the ‘supersonic’ scalers. These are the players like Google, Amazon, Meta and Microsoft that are the users and providers of the AI revolution.

These are the players that have spent hundreds billions thus far on the third digital revolution. Let us once again put that into perspective, the amount of spending is (inflation adjusted) the same as what was spent during the 1960’s on mainframe computing and the 1990’s distribution of fibre-optics. So we have now seen that level of spending in AI the next step is ‘usage’ and that is the inflection point we find ourselves at.

Currently AI is mainly used to train foundational models and chatbots – which is fine but not long-term financially stable. It needs to move into things like productions – that is producing models for corporate clients that forecast, streamline and increase productivity. This is the ‘Grail’ This immediately raises the bigger question for now – can this Grail be achieved?

The Voices To answer that – let us present some arguments from some of AI’s largest “Voices” On the AI potential and the possibility of a profound and rapid technological revolution, Sam Altman, CEO of OpenAI, has claimed that AI represents the "biggest, best, and most important of all technology revolutions," and predicts that AI will become increasingly integrated into all aspects of life. This reflects a belief in AI's far-reaching influence over time. The never subtle McKinsey and Co. has projected that generative AI could eventually contribute up to $8 trillion to the global economy annually.

This figure underscores the massive economic potential of AI. The huge caveat: McKinsey's predictions are never real-world tested and inevitably fall flat in the market. This kind of money is what makes AI so attractive to players in Venture Capital.

For the VC watchers out there the one that is catching everyone’s attention is VC accelerator Y Combinator which is fully embracing the technology. Just to put Y Combinator into context, according to Jared Heyman’s Rebel Fund, if anyone had invested in every Y Combinator deal since 2005 (which would have been impossible just to let you know), the average annual return would have been 176%, even after accounting for dilution. Furthermore to the VC story - AI has accounted for over 40 per cent of new unicorns (startups valued at $1 billion or more) in the first half of 2024, and 60 per cent of the increase in VC-backed valuations.

So far in 2024, U.S. unicorn valuations have grown by $162 billion, largely driven by AI’s rapid expansion, according to Pitchbook data. So the Voices certainly believe it can be achieved. But is this a good thing?

The Good, the Bad and the Ugly AI is advancing at such a rapid pace that existing performance benchmarks, such as reading comprehension, image classification and advanced maths, are becoming outdated, necessitating the creation of new standards. This reflects the fast-moving nature of AI progress. For example, look at the success of AlphaFold, an AI-driven algorithm that accurately predicts protein structures.

Some see this as one of the most important achievements in AI’s short history and underscores AI’s transformative impact on science, particularly in fields like biology and healthcare. This is the Good. Then there is the 165-page paper titled "Situational Awareness" by Aschenbrenner which has predicted that by 2030, AI will achieve superintelligence and create a $1 trillion industry.

Also, a positive, but will consume 20 per cent of the U.S. power supply. These incredible predictions emphasise the enormous scale of AI and the impact it will have on industry, infrastructure and people. The latest Google study found that generative AI could significantly improve workforce productivity.

The study suggests that roughly 80 per cent of jobs could see at least 10 per cent of tasks completed twice as fast due to AI, which has implications for industries such as call centres, coding, and professional writing. This highlights AI's capacity to streamline tasks and enhance efficiency across various fields. However it also raises the massive concern around job security, job satisfaction and the socio-economic divide as the majority of those affected by AI ‘productivity’ are in mid to low scales.

Then we come to Elon Musk’s new AI startup, xAI, which raised $6 billion at a valuation of $24 billion this year. The company is planning to build the world’s largest supercomputer in Tennessee to support AI training and inference. This all sounds economically and financially exciting but it has a darker side.

These are the kinds of AI ventures that have seen ‘deep-fake’ creations. For example Musk himself shared a deep-fake video of Vice President Kamala Harris. This is the ugly side of AI and reflects the broader cultural and ethical issues surrounding AI-generated content.

Furthermore – we should always be forecasting both the good and the bad for investment opportunities. These issues are already attracting regulations and compliance responses. How impactful will these be?

And will it halt the AI driven share price appreciation? It is a very real and present issue. Where does this leave us?

The share price future of Nvidia and Co is clearly dependent on the longer-term achievement of the AI revolution. As shown, the supersonic players in technology and venture capital are betting big on AI, with predictions that it will reshape the global economy, industries, and even basic societal structures. However, there is still uncertainty about the exact timeline for these changes and how accurately the market is pricing in AI's potential.

The AI ecosystem is moving at breakneck speed, with new developments outpacing benchmarks and productivity gains reshaping jobs, but whether all these projections that range from trillion-dollar economies to superintelligence materialises remains to be seen. Thus – for now – Nvidia and Co’s recent roller-coaster trading looks set to continue.

Evan Lucas

•

January 30, 2025

See all News & Insights

Recent Articles

Seis errores comerciales comunes durante los Juegos Olímpicos (y cómo evitarlos)

Los Juegos Olímpicos y los Juegos Olímpicos de Invierno captan la atención mundial durante semanas, atrayendo a millones de espectadores y dominando los titulares. Para los comerciantes, esta atención a menudo se siente como un catalizador, sin embargo, los verdaderos impulsores del mercado siguen siendo los mismos: macroeconomía, política y sentimiento de riesgo global, no el calendario deportivo.

Entonces, ¿por qué algunos comerciantes dicen que los resultados se sienten más débiles durante los grandes eventos deportivos?

A menudo se reduce a una falta de adaptación a condiciones que pueden cambiar en el margen, particularmente la liquidez y la participación.

1. Esperando “volatilidad de eventos”

Un evento global importante puede crear una suposición de que los mercados debería mover más. Algunos operadores se posicionan para rupturas o aumentan el riesgo en previsión de oscilaciones más grandes, incluso cuando las condiciones no lo soportan.

Controladores clave

En algunos mercados y sesiones, la participación reducida puede debilitar el seguimiento de tendencias

El sentimiento puede inflar las expectativas más allá de lo que ofrece la acción del precio

Ejemplo: Un comerciante espera una ruptura durante el período de ceremonia de apertura olímpica, pero la baja participación regional limita el movimiento de precios, lo que lleva a inicios falsos.

2. Forzar operaciones en sesiones silenciosas

Cuando la acción del precio es más lenta y los rangos se comprimen, algunos comerciantes sienten la presión de mantenerse activos y tomar entradas de menor calidad.

Controladores clave

Los rangos intradía estrechos pueden aumentar las señales falsas

La menor convicción puede favorecer la consolidación sobre la tendencia, lo que aumenta el riesgo de ruptura falsa

“Mantenerse comprometido” puede reducir la selectividad

Nota: Use sesiones más silenciosas para refinar configuraciones o revisar datos en lugar de forzar operaciones marginales.

‍

3. Ignorando la liquidez más delgada

La participación puede disminuir ligeramente durante los principales eventos mundiales, y el impacto suele ser más pronunciado en plazos más cortos. Los gráficos diarios pueden parecer normales, mientras que la acción intradiaria del precio se vuelve más entrecortada con más mechas.

Controladores clave

En condiciones de menor profundidad, el precio puede saltar más fácilmente y el tamaño de la mecha puede aumentar

En algunos instrumentos y sesiones, una liquidez más delgada puede coincidir con diferenciales más amplios y una ejecución más variable (varía según el mercado, el lugar y las condiciones del corredor)

Sensibilidad del marco de tiempo a condiciones más delgadas

La tabla anterior es solo ilustrativa (varía según el mercado): Los gráficos diarios pueden parecer normales. Los gráficos de cinco minutos pueden parecer más erráticos.

Ejemplo de mechas grandes de bajo volumen

4. Usar el tamaño normal en condiciones anormales

Incluso si la volatilidad general parece estable, el riesgo de ejecución puede aumentar cuando la liquidez disminuye, especialmente para enfoques de corto plazo o estilo scalping.

Controladores clave

El deslizamiento puede aumentar y las paradas pueden “sobrepasar”

Las condiciones delgadas pueden desencadenar paradas más fácilmente en el ruido

Los diferenciales más amplios pueden cambiar los resultados de entrada/salida en comparación con las condiciones normales

Ajuste: Mantener un tamaño fijo puede distorsionar efectivo riesgo. Algunos operadores revisan los costos de transacción, incluidos los diferenciales, y las condiciones de ejecución al establecer parámetros de riesgo como stops/límites, particularmente en sesiones más delgadas.

5. Rupturas de operaciones con bajo seguimiento

Las tácticas de seguimiento de tendencias pueden flaquear cuando la participación disminuye. El impulso puede disiparse rápidamente y las pausas falsas se vuelven más comunes.

Controladores clave

El flujo reducido puede limitar los movimientos direccionales sostenidos

Algunos regímenes de baja liquidez pueden favorecer la reversión media sobre el impulso

Ejemplo: Una ruptura de rango clásica parece válida dentro de la red, pero se desvanece rápidamente ya que el volumen de seguimiento no se materializa.

Ejemplo de ruptura fallida

6. Pasando por alto el tiempo y el riesgo de distracción

No hay evidencia fidedigna de que el calendario olímpico impulse previsiblemente los eventos geopolíticos. Pero cuando las tensiones ya están elevadas, los grandes acontecimientos mundiales a veces pueden coincidir con la atención que se extiende a otros lugares, algo similar a los días festivos, las elecciones o las grandes cumbres.

Los operadores deben identificar cuándo las condiciones son más lentas o más delgadas y ajustar en consecuencia, alineando las tácticas con un riesgo de seguimiento reducido y calibrando los tamaños de posición a la realidad de ejecución. Lo más importante es evitar forzar las operaciones cuando la ventaja es limitada durante estos períodos.

Próximos acontecimientos económicos

Mike Smith

•

February 10, 2026

Lista de verificación de la Semana del Euro: ¿Qué deben ver los operadores de divisas durante los Juegos Olímpicos de Milán?

La antorcha está encendida en Milán, y la atención del público ha pasado de la teatralidad de la ceremonia de apertura a la competencia en las pistas.

Pero para los operadores de divisas (FX), los ojos todavía están puestos en los gráficos del euro (EUR). Con Italia en el centro del mundo deportivo, la economía de la eurozona se enfrenta a uno de sus momentos más vistos del año.

1. La ventaja de la cancha local (economía de Italia)

Algunas estimaciones sugieren que los Juegos Olímpicos podrían dar un impulso de aproximadamente 5.300 millones de euros a la economía italiana, impulsado por el gasto directo y una cola turística más larga una vez que se apague la llama. En términos prácticos, eso puede significar una fase de “gasto directo” con carga frontal. La demanda de hospitalidad, comercio minorista y transporte puede alcanzar su punto máximo, ya que se estima que 2,5 millones de espectadores se mueven entre Milán y los Dolomitas.

Tarea de lista de verificación: Ver producción industrial de Italia (miércoles 11 de febrero de 2026). Si bien los Juegos pueden apoyar la actividad de servicios, vale la pena hacer un seguimiento de si los datos de producción más amplios siguen el ritmo o si el impacto olímpico se concentra estrechamente en los sectores vinculados al turismo.

‍

2. Señales del BCE

En su reunión del 5 de febrero, el Banco Central Europeo (BCE) mantuvo estables los ajustes de política en 2.15% y la facilidad de depósito en 2.00%. La presidenta Christine Lagarde señaló que si bien la inflación parece estar estabilizándose, el BCE se mantiene en modo de “esperar y ver”.

Tarea de lista de verificación: Vigilar los discursos de los miembros del BCE esta semana. Cualquier cambio en el tono, incluyendo una inclinación más tensa que sugiera que las tasas podrían permanecer más altas por más tiempo, podría actuar como un potencial viento de cola para el EUR/USD, especialmente si contrasta con un tono más cauteloso de la Reserva Federal.

*Tipos de cambio del BCE 2021-2026 |* *FRED*

‍

3. Navega por la superposición Londres-Nueva York

Las finales olímpicas más prestigiosas suelen aterrizar en la noche europea. Para los comerciantes, esto se alinea con la superposición de la sesión de Londres a Nueva York (típicamente 14:00 a 17:00 GMT). Ahí es cuando la liquidez es más profunda en cruces de euros y cuando el posicionamiento puede dar vueltas en torno a datos y titulares.

Tarea de lista de verificación: Espere un posible pico de liquidez y la posibilidad de “falsas rupturas” durante estas horas. Si un punto de datos importante de Estados Unidos (como las ventas minoristas del martes o el IPC del viernes) aterriza mientras los mercados europeos aún están abiertos, los pares de euros podrían ver un repunte de la volatilidad.

‍

GO Markets una semana por delante

‍

4. Pistas de refugio seguro

Si bien el euro es la estrella del espectáculo, los Juegos Olímpicos aún pueden verse ensombrecidos por un ruido geopolítico más amplio. Por ejemplo, el oro ya cotiza en torno a la marca de 5.000 dólares después de haber superado brevemente a principios de febrero, impulsado por las compras de los bancos centrales, las expectativas de un dólar más débil y las previsiones mejoradas de fin de año.

Tarea de lista de verificación: Si el sentimiento desactiva el riesgo, observe los activos tradicionales del paraíso como el franco suizo (CHF) y el oro. El oro ha experimentado grandes oscilaciones recientemente y actualmente está probando resistencia cercana a los 5.000 dólares de los EE.UU. El EUR/CHF también podría ver una mayor volatilidad si los titulares geopolíticos se intensifican durante los Juegos.

*Gráfico de 1 hora del XAU/USD |* *TradingView*

‍

5. Clasificación final del PIB

La semana concluye con el PIB del cuarto trimestre de la eurozona (segunda estimación) el viernes 13 de febrero de 2026.

Tarea de lista de verificación: El estimado preliminar mostró 0.3% de crecimiento. Si la cifra se revisa al alza, podría reforzar la resiliencia de la eurozona y podría apoyar una oferta de última semana en EUR.

*Tasa de crecimiento anual del PIB de la zona del euro |* *Economía comercial*

‍

Conclusión

Si bien el “impulso olímpico” puede ofrecer un colchón de sentimiento para Italia, es probable que la dirección del euro siga determinada por si la postura de “esperar y ver” del BCE se ve desafiada por la actualización del PIB del viernes o la publicación de producción industrial del miércoles.

Con el oro rondando los 5.000 dólares estadounidenses y Estados Unidos enfrentando un calendario afectado por los datos reprogramados, la volatilidad podría mantenerse elevada en horas clave de superposición, justo cuando se están produciendo eventos en horario estelar.

GO Markets

•

February 10, 2026

Calendario de los comerciantes para los Juegos Olímpicos de Invierno Milano Cortina

Su guía completa día a día de oportunidades de medallas australianas y momentos de movimiento del mercado durante los Juegos Olímpicos de Invierno de Milano Cortina.

‍

Datos rápidos

Ceremonia de apertura: 6:00 a.m., 7 de febrero AEDT (8:00pm, 6 de febrero Milán).
Ventana de visualización principal: 4:00am a 2:00pm AEDT diariamente coincide con el horario de negociación previo al mercado y ASX.
Ceremonias de medallas: Por lo general, se ejecutan de 6:00 a.m. a 7:00 a.m. AEDT. Perfecto para ajustes de posición previos a la comercialización.
53 Atletas australianos compitiendo: El segundo equipo olímpico australiano de invierno más grande de la historia, con 10 genuinos contendientes a la medalla.

‍

Calendario de Juegos Olímpicos de GO Markets

GO Markets Olympic Schedule

Feb 7