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यह खंड उन लोगों के लिए बनाया गया है जो अभी-अभी अपनी ट्रेडिंग यात्रा शुरू कर रहे हैं। InstaForex शैक्षिक और विश्लेषणात्मक सामग्री आपकी प्रशिक्षण आवश्यकताओं को पूरा करेगी। हमारे विशेषज्ञों की सिफारिशें ट्रेडिंग की सफलता के लिए आपके पहले कदम को सरल और स्पष्ट बना देंगी।
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इंस्टाफॉरेक्स 2007 में बनाया गया एक अंतरराष्ट्रीय ब्रांड है। कंपनी ऑनलाइन एफएक्स ट्रेडिंग के लिए सेवाएं प्रदान करती है और इसे दुनिया के अग्रणी ब्रोकरों में से एक के रूप में मान्यता प्राप्त है। हमने 7,000,000 से अधिक खुदरा व्यापारियों का विश्वास जीता है, जिन्होंने पहले ही हमारी विश्वसनीयता और नवाचारों पर ध्यान केंद्रित करने की सराहना की है।
The financial markets started autumn turbulently: the dollar collapsed to a 5-week low under pressure from a court ruling on Donald Trump's tariff policy. Intel received a $5.7 billion advance under the CHIPS Act. Meta unexpectedly began talks on a partnership with Google and OpenAI to strengthen its AI position, and Oracle shares plunged by more than 6% due to massive costs and staff reshuffling. This review highlights key news, forecasts, and recommendations for traders seeking to maximize current market volatility.
Dollar weighed down by court against Trump's tariffs and Fed rate cut expectations
On Monday, the dollar came under double pressure: investors are preparing for the release of key US labor market data, which could confirm the Fed's course toward rate cuts, while a court declared most of Donald Trump's tariffs unlawful. As a result, the dollar fell to a 5-week low against a basket of currencies, while the euro and pound gained firmly. In this article, we analyze the reasons behind the US currency's fall, the impact of the tariff war on markets, as well as forecasts and recommendations for traders.
At the start of Monday, the US dollar index declined by 0.22% to 97.64, touching 97.552, its lowest since July 28. In August, the US currency lost 2.2% against the basket, marking the first such notable decline in recent months.
The weakness is linked to several factors: investors expect Friday's nonfarm payrolls report to confirm a slowdown in the US economy. This means that the probability of a Fed rate cut in September is almost guaranteed – markets currently price it at 90%. Moreover, by autumn 2026, traders are factoring in a total easing of 100 bps.
Additional pressure came from the political front: a US appeals court declared most of Donald Trump's tariffs illegal. Formally, the measures remain in force until October 14, giving the administration time to appeal to the Supreme Court, but the market interpreted this as a signal that Trump's main "economic weapon" could be under threat.
Tariffs were the cornerstone of his trade policy, but now their legitimacy itself is in question, which undermines confidence in the dollar and heightens uncertainty around trade policy.
The euro strengthened by 0.35% to $1.1724, while the pound rose by 0.18% to $1.3528. The market largely ignored Europe's domestic political risks, including the threat of a no-confidence vote in the French government: investors do not yet see systemic risks for the eurozone as a whole. Moreover, the strength of the euro and pound was a direct reflection of dollar weakness rather than independent momentum of these currencies.
Analysts note that the US economy is no longer demonstrating its previous dominance, and the dollar is naturally losing ground. At the same time, there remains a scenario where unexpectedly strong labor data could give the dollar a short-term rebound. However, if the reports confirm deterioration in the labor market, pressure on the Fed will intensify, and the trajectory of the US currency will stay downward.
In the short term, the dollar is likely to remain under pressure, and traders should consider strategies aimed at playing on U.S. currency weakness. The euro has potential for further growth, especially if statistics confirm labor market weakness. However, aggressive bets against the dollar carry risks: a sudden positive surprise in employment could trigger a sharp rebound.
For medium-term investors, the optimal tactic looks like diversification – holding long positions in the euro and pound, as well as considering the yen as a safe-haven asset amid uncertainty around tariffs and political pressure on the Fed. Overall, autumn promises to be volatile: any new headline about tariffs or Fed actions could become a catalyst for sharp moves, making it crucial for traders to stay flexible and ready to quickly reassess their strategies.
Intel receives $5.7 billion in advance: US bets big on chips
Intel managed to accelerate the flow of funding under the CHIPS Act: the company received $5.7 billion in cash ahead of schedule by revising the terms of the deal with the US Department of Commerce. As a result, the company gained more freedom in managing the funds, while investors received new opportunities. In this article, we break down the details of the agreement, the scale of government investment in Intel, the potential business implications, and provide traders with recommendations on how to turn this situation to their advantage.
Intel officially confirmed that it had changed the terms of the agreement with the US Department of Commerce under the CHIPS Act, waiving a number of early project stages and securing an advance of $5.7 billion. The company received this money outside the original payment schedule, which effectively expands its ability to quickly channel capital into critical advanced chip production projects. However, restrictive conditions apply: the funds cannot be used for dividends, buybacks, control changes, or expansion into certain countries.
However, the financial support does not end there. In total, government injections into Intel have reached $11.1 billion, consisting of $8.9 billion in equity investments and $2.2 billion in previously issued grants. Moreover, the US government acquired 274.6 million shares of the company and the right, under certain conditions, to purchase up to another 240.5 million, equivalent to nearly a 10% stake. For the corporation, such a structure means not just access to enormous resources but also a tight alignment with government interests, especially in the context of the Secure Enclave program aimed at strengthening national security through localized production.
Intel has already invested $7.87 billion in projects funded under the CHIPS Act and has placed another 158.7 million shares in escrow, which will be unlocked once additional funds are allocated. It is clear that the company is betting on long-term dominance in contract chip manufacturing, with government participation providing an additional incentive not to slow down. Still, such deep White House involvement raises concerns for some investors: a model in which the government effectively becomes a major shareholder of tech giants could mean new rules of the game for the entire US corporate sector.
For traders, the story looks multilayered. On the one hand, large-scale government investment reduces the risk of funding shortages and strengthens Intel's position in global competition. This creates a foundation for long-term stock growth. On the other hand, the market will closely watch how the company handles the deployment of colossal sums and whether it can build a profitable model under such a high degree of government oversight. The coming quarters will be crucial: heightened volatility and reactions to each new update on project implementation should be expected.
For investors with a long-term horizon, gradual purchases of Intel shares are worth considering against the backdrop of government injections and strategic programs that make the company a "system-forming" player in the US semiconductor industry. For those working in the short term, it makes sense to use potential volatility spikes ahead of earnings and new CHIPS Act news for speculative trades.
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Meta in talks with Google and OpenAI on AI partnership
Meta appears ready to abandon the traditional "every man for himself" logic and is negotiating AI cooperation with Google and OpenAI. The discussion concerns the possible integration of external models into the company's own products, which could radically reshape the competitive landscape in Silicon Valley. In this article, we examine the reasons for such a strategic shift, the prospects for Meta, and provide traders with recommendations on how to play this story in the market.
Meta is exploring the possibility of embedding Google's Gemini model into its main chatbot, Meta AI, to improve dialogue and text response quality. At first glance, the idea looks almost heretical: Mark Zuckerberg's company, which only recently tried to prove the independence of its Llama 4, is now considering using the technology of direct competitors. While it may look like an admission of weakness, in reality, the step reflects pragmatism: the AI market is developing rapidly, and any lag could prove too costly.
Meta is actively strengthening its position in the race by creating the Superintelligence Labs unit led by former Scale AI CEO Alexander Wang and former GitHub head Nat Friedman. But the start has been uneven: the Llama 4 models trail competitors, and some researchers left the company for OpenAI. Against this backdrop, turning to external partnerships looks less like weakness and more like an attempt to accelerate progress and close technological gaps.
Cooperation with Google and OpenAI fits into Meta's broader strategy of large-scale partnerships. The company signed a 6-year, $10 billion contract with Google for cloud capacity rental, the largest agreement in Google Cloud's history. In addition, together with Reliance Industries, Meta is investing $100 million in enterprise AI solutions for India and several international markets, and it has signed a licensing deal with Midjourney to use "aesthetic technology" for future visual products.
Clearly, Meta is trying to build an "AI ecosystem at any cost," despite regulator skepticism and pressure from the US Congress, where the risks of AI use among teenagers are actively debated. The company has already promised to implement additional safety measures in its chatbots, but for investors another question is more important: will Meta have the resources and determination to catch up with competitors and turn its massive investments into tangible profit growth?
News of negotiations with Google and OpenAI could support Meta shares in the short term by raising expectations of a breakthrough in the AI direction. However, risks should not be overlooked: such agreements often take time to implement, and results may turn out less impressive than the market expects. For long-term investors, Meta stock is attractive thanks to large-scale investments and diversification in AI, but current volatility also creates opportunities for speculative trades.
If positive confirmation of the partnership emerges, the stock could see notable growth, while delays or regulatory hurdles could trigger a correction. The optimal tactic for traders now is to use range-bound movements and gradually build positions to take advantage of a possible Meta breakthrough in the AI race.
Oracle shares plunge by 6% on costly AI and staff cuts
Last Friday, Oracle shares dropped by more than 6%, making August the company's worst month of the year thus far. Since reaching its July high, the stock has lost about 13%. In this article, we analyze the reasons for the decline, forecasts for Oracle's business, and what opportunities this situation opens for traders.
At the end of August, Oracle shares gave investors an unpleasant ride: prices fell by more than 6% in a single session and lost about 13% from July highs. This came just a month after the company celebrated a record of $261 per share on the back of a 120% rally from April lows.
The trigger for such a sharp downturn was rising AI infrastructure costs: the company is building data centers, purchasing top-tier chips, and promising OpenAI an additional 4.5 gigawatts of capacity for the ambitious $500 billion Stargate project. The cherry on top is a $30 billion mega-contract with OpenAI, but it will not start generating revenue until 2028. Investors seem to have decided that "waiting until Monday" is fine in theory, but four years for revenue is a stretch.
Financial pressure forced Oracle to take the most conventional optimization path – staff reductions. In August, the company cut over 150 jobs in its cloud division in the Seattle area, affecting engineers in both the US and India, while also losing its chief security officer, Mary Ann Davidson. The official explanation was vague: "resource reallocation to key areas," but the market interpreted it differently – as a troubling signal of instability in management at a time when clarity and confidence are most needed.
Market nervousness is further fueled by context: the entire AI sector is cooling off. Nvidia ended last week down after a weak earnings forecast, while Marvell Technology disappointed with its sales outlook. Against this backdrop, investors seem to have remembered that "AI is the future" does not mean "everything at once and without costs." As a result, even Oracle's strong metrics – 52% year-on-year growth in cloud infrastructure revenue and $138 billion in obligations – did not help. With a multiple of 12 to last year's revenue versus an average of 6.5, the company looks expensive, meaning that the market will not forgive execution mistakes.
Now attention is focused on the Q1 FY2026 report, due in mid-September. Analysts expect earnings of $1.47 per share, and this report will be a litmus test: whether multibillion-dollar AI investments are turning into sustainable profit growth, or if it is still just a road paved with endless expenses.
The conclusion is simple: Oracle is trying to play the long game, but the market lives in the here and now. In the near term, volatility in the stock will remain high, and traders should keep a close watch. For conservative strategies, it makes sense to wait for the report and assess margin dynamics: if margins continue to deteriorate, the stock risks sliding further.
More aggressive players can use the pullback for short-term rebound trades, especially if results beat expectations. In any case, Oracle's current situation serves as a reminder that the lofty slogans about the future of artificial intelligence come at a real cost today.
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