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SoftBank’s AI-Fueled Surge Lifts Nikkei Above 67,000, Overtakes Toyota as Japan’s Most Valuable Company

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Japan’s stock market entered a new phase of the artificial intelligence boom on Monday as the benchmark Nikkei 225 breached the 67,000 mark for the first time in history, driven overwhelmingly by AI-linked companies and a dramatic surge in shares of SoftBank Group, which overtook Toyota Motor as the country’s most valuable listed company.

The milestone underscores how investor enthusiasm is increasingly shifting away from Japan’s traditional industrial champions toward companies positioned at the center of the global AI infrastructure race.

The Nikkei climbed as much as 1.4% to a record 67,231.28 before ending the session at 66,934.33, up 0.9%. Yet the headline gain masked a highly concentrated rally. SoftBank alone accounted for more than the entire net increase in the index, highlighting how a handful of AI beneficiaries are now exerting outsized influence over Japanese equities.

Shares of the technology investment giant jumped 14%, adding roughly 845 points to the Nikkei. By contrast, the index itself rose 605 points, meaning the broader market was considerably weaker than the benchmark’s headline performance suggested.

The rally propelled SoftBank’s market capitalization to approximately ¥48.8 trillion ($306 billion), surpassing Toyota’s ¥45.9 trillion after the automaker’s shares fell 4.5%.

The changing rankings carry symbolic importance. For decades, Toyota represented the pinnacle of Japan’s corporate sector, embodying the country’s manufacturing strength and export prowess. SoftBank’s ascent signals that investors believe the next era of value creation will come from AI infrastructure, computing power, and digital platforms rather than automobiles and traditional industrial production.

At the center of investor enthusiasm is SoftBank founder Masayoshi Son’s aggressive push into artificial intelligence. Over the weekend, the company unveiled plans to invest about €75 billion ($87 billion) over five years to help build AI infrastructure in France, one of the largest technology investment commitments ever announced in Europe.

The French initiative forms part of a broader strategy that is transforming SoftBank into one of the world’s largest AI infrastructure investors. The company has already committed tens of billions of dollars to OpenAI, benefits from its controlling stake in Arm Holdings, and continues to expand investments spanning data centers, chips, cloud infrastructure, and next-generation computing.

For investors, SoftBank represents a leveraged bet on global AI adoption.

The company’s valuation has been boosted not only by the soaring worth of Arm and OpenAI but also by expectations that demand for AI computing capacity will remain robust for years as governments and corporations race to build data centers capable of training and deploying advanced AI models.

The strength of that narrative was evident across Japanese technology stocks. Electronic components manufacturer Murata Manufacturing surged 9%, benefiting from expectations that AI server demand will create new opportunities across semiconductor supply chains and advanced electronics manufacturing.

Analysts say the market is broadening beyond obvious AI winners such as chipmakers and cloud providers, with investors increasingly identifying secondary beneficiaries throughout the technology ecosystem.

“Despite concentration risks and rising volatility, the AI theme continues to be underpinned by strong earnings,” strategists at Jefferies wrote in a research note.

“This rally is fundamentally driven, and the message is clear: follow the earnings momentum.”

That earnings story has become important as investors attempt to distinguish the current AI boom from previous technology bubbles. Unlike the dot-com era, many of today’s leading AI companies are generating substantial revenue growth and attracting significant capital commitments from enterprise customers.

Still, Monday’s market action also revealed growing divisions beneath the surface. The broader Topix index fell 0.4%, illustrating that much of the market remains disconnected from the AI rally. Among the Tokyo Stock Exchange’s 33 industry groups, only seven advanced, while most sectors declined.

The divergence was especially apparent in the automotive sector. Auto shares dropped 3.8%, making them among the weakest performers of the day. The decline reflects concerns that rising geopolitical uncertainty, trade tensions, and slowing global growth could weigh on traditional manufacturing businesses even as technology firms benefit from AI-related spending.

Market breadth was similarly narrow. Only 70 of the Nikkei’s 225 constituent companies gained ground, while 155 declined.

That imbalance indicates that investors are becoming increasingly selective, concentrating capital into a relatively small group of AI-linked companies while reducing exposure to sectors viewed as vulnerable to economic headwinds.

Geopolitical uncertainty remains one of those headwinds.

Both the Nikkei and Topix reached record highs last week amid optimism that the United States and Iran could move closer to a peace agreement. However, negotiations remain fragile, with Washington and Tehran continuing to disagree on several major issues.

“Uncertainty regarding the situation in the Middle East seems to be intensifying,” said Maki Sawada, a strategist at Nomura Securities.

The region remains critical to global energy markets, and any prolonged disruption could reignite inflation concerns, pressure corporate margins, and complicate monetary policy decisions worldwide. Those concerns help explain why investors continue to show caution toward large segments of the market even as AI-related shares surge.

Interestingly, not all semiconductor-related stocks participated in Monday’s rally. Chip-testing equipment maker Advantest fell 1.9%, while cable and electronics supplier Fujikura declined 2%.

Their weakness highlights another emerging feature of the AI trade: investors are differentiating between companies directly benefiting from spending growth and those whose exposure is viewed as more indirect.

The broader significance of Monday’s trading extends beyond Japan. Global equity markets are undergoing a historic reallocation of capital toward AI infrastructure, semiconductors, data centers, and cloud computing. Similar trends are visible in the United States, where companies tied to AI have accounted for a disproportionate share of stock market gains over the past two years.

Japan’s market is now following the same pattern, with SoftBank becoming the country’s clearest proxy for the AI investment cycle.

The company’s rise above Toyota marks more than a shift in market capitalization rankings. It is seen as a reflection of a changing view among investors about where future economic value will be created. For much of the past half-century, Japan’s stock market was defined by manufacturers, exporters, and industrial giants. Increasingly, it is being shaped now by companies building the infrastructure required to power artificial intelligence.

Uber and Autobrains Plan to Test Self-Driving Taxis in Munich

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The race to commercialize autonomous transportation continues to accelerate as ride-hailing giant Uber Technologies and autonomous driving technology developer Autobrains announce plans to begin testing self-driving taxis in the German city of Munich.

The initiative represents another significant step toward the broader adoption of autonomous mobility services in Europe and highlights the growing collaboration between transportation platforms and artificial intelligence-driven vehicle technology firms. The planned pilot program is expected to evaluate how autonomous vehicles can safely operate in complex urban environments while providing passengers with a convenient and reliable transportation option.

Munich, known for its advanced infrastructure, strong automotive industry presence, and supportive technology ecosystem, offers an ideal testing ground for next-generation mobility solutions.

The city is also home to several major automotive manufacturers and research institutions, making it a natural location for innovation in transportation technology. For Uber, the partnership reflects a long-term strategy to integrate autonomous vehicles into its ride-hailing network. The company has invested heavily in self-driving initiatives over the years, recognizing that automation could significantly reduce operating costs while increasing transportation accessibility.

Human drivers currently represent one of the largest costs associated with ride-hailing services. By introducing autonomous vehicles, Uber aims to improve efficiency, expand service availability, and potentially lower fares for customers over time. Autobrains brings specialized expertise in autonomous driving software powered by artificial intelligence.

Unlike some competitors that rely heavily on high-definition maps and expensive sensor arrays, the company has focused on creating systems capable of understanding and responding to real-world driving conditions in a more adaptive manner. This approach seeks to improve scalability and reduce deployment costs, two critical challenges facing the autonomous vehicle industry.

The Munich tests will likely focus on collecting real-world operational data and validating the performance of autonomous systems under various traffic, weather, and road conditions. Urban environments present numerous challenges for self-driving technology, including pedestrians, cyclists, construction zones, and unpredictable driver behavior. Successfully navigating these situations is essential before autonomous taxi services can be deployed at a larger scale.

The announcement also underscores Europe’s increasing importance in the autonomous mobility sector.

While much of the early development and testing of self-driving vehicles occurred in the United States and China, European cities are becoming attractive locations for pilot programs due to their advanced regulatory frameworks and emphasis on sustainable transportation. Governments across the continent are exploring ways to integrate autonomous technologies into broader smart-city initiatives aimed at reducing congestion, improving safety, and lowering emissions.

Despite the promise of self-driving taxis, challenges remain. Regulators must ensure that autonomous systems meet rigorous safety standards, while companies must address public concerns regarding reliability, liability, and cybersecurity. Building public trust will be just as important as achieving technological milestones. Any large-scale deployment will depend on demonstrating that autonomous vehicles can operate at least as safely as human drivers.

If the Munich pilot proves successful, it could pave the way for wider deployment across Germany and other European markets. The collaboration between Uber and Autobrains reflects a broader transformation underway in the transportation industry, where artificial intelligence, automation, and digital platforms are converging to reshape how people move through cities.

As autonomous technology continues to mature, partnerships like this one may help bring the vision of self-driving taxi networks closer to everyday reality. The Munich tests represent more than a local experiment; they are another milestone in the global effort to redefine urban mobility for the future.

The Fastest Way to Copy Top Traders on Base  

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Copying a top trader on Base now takes about two minutes of setup, no browser extension, no seed phrase to manage. Banana Gun Pro handles the wallet for you, surfaces the 50 best-performing wallets for any token in a single widget, and supports block 0 copy trading on Base via Flashblocks, so your buy can land in the same block as the target trader. If you have watched a wallet flip a 10x while you were still approving a MetaMask transaction, this closes that gap.

How Copy Trading on Base Actually Works

Copy trading mirrors another wallet’s buys automatically, without you touching anything. Base changes the latency side meaningfully: it runs on roughly 2-second blocks, subdivided into ten Flashblock sub-blocks, each about 200ms. Banana Gun Pro supports block 0 copy trading by tapping into these Flashblocks, which means your buy can land in the same block as the original trade rather than a block behind. That 200ms figure describes Base’s sub-block granularity, not a guaranteed execution time for your specific trade. What it means in practice: your order goes in at the earliest preconfirmation point available, before a full block is finalized. On tokens where price moves in the first few seconds after a whale entry, that head start is the whole point. The difference between block 0 and block 1 entry can be the difference between getting in at launch price and chasing a token already up 30%.

For a deeper look at how wallet mirroring works across chains, see what is copy trading and how wallet mirroring works across multiple blockchains.

Getting In Without MetaMask

The usual onboarding friction for DeFi tools is the wallet setup: install MetaMask, write down 12 words, fund a new address, add Base network manually. Banana Gun Pro skips all of it.

You log in at pro.bananagun.io/app using Privy, which lets you authenticate with Google, Twitter, or Telegram. Your private keys are generated locally in your browser, shown to you once, and never transmitted off your device. This is a non-custodial setup, meaning the platform does not hold your funds, but you also do not need to install anything or manage a browser extension. The initial funding step is also simpler than traditional DeFi: once logged in, you deposit ETH on Base directly to your Privy wallet address, no bridging wizard, no chain-switching required.

One rule: always use the same login method. Switch from Google to Twitter and you create a second account with a separate wallet. Once you are in, fund your Base wallet with ETH on Base for gas.

Finding Wallets Worth Copying: The Top Traders Widget

Banana Gun Pro includes a Top Traders widget that surfaces the 50 highest-PNL wallets for any token you search. Hover over any wallet address in that list and a PNL card appears showing the trader’s realized gains, open positions, and recent activity. From that same card, you can start copying that wallet with one click.

The widget also flags wallet labels: developer, bundler, sniper, pump.fun buyer, dev connected, cluster, top holders. These labels matter more than the raw PNL number. A developer wallet or a bundler may show spectacular gains precisely because they created the token or held pre-launch allocation. Copying one of those wallets does not replicate their edge; it just puts you in the same trades late. Focus on wallets without those flags, with a clean recent trade history across multiple tokens, not just one outsized win. A wallet that has profited consistently on six different tokens over 30 days carries far more signal than one that hit a single 50x and nothing else.

Setting Up a Copy Trade: Simple vs Advanced Mode

Simple mode asks for the target wallet address, a MAX BUY per transaction, a SPEND LIMIT (the total your bot will spend across all copies of that target), slippage tolerance, and an MEV tip. That last setting tells the network how much extra you are willing to pay to get your transaction included quickly. Set it too low and your trade may land a block late; set it too high and you eat into your edge on smaller trades.

Advanced mode adds Buy Only Once (copies the target into a token once, then stops), Buy Percentage, Buy Fixed, Copy Sell, and market cap filters to block tokens already beyond a size where meaningful upside is unlikely.

Presets save an advanced config for reuse. Once a copy is live, the Copy Trade Overview shows Active, History, and Blocked tabs. Blocked Tokens prevents re-entry: when Buy Only Once fires, that token is blocked automatically so the bot does not enter the same coin twice.

The Risk You Cannot Skip

Copy trading distributes your trades across every move a target wallet makes, including the bad ones. A wallet that has run 15 profitable trades in a row can still rug you on the 16th if the trader decides to exit into your buy. That is called being used as exit liquidity, and it is more common than most guides admit. Exit liquidity events tend to cluster in the first 48 hours after a token launches, when early holders are most motivated to distribute into retail volume.

Before copying anyone, run the wallet through a scanner and check their last 20 to 30 trades. Look for a consistent pattern across multiple tokens, not a single spike. Use the SPEND LIMIT field on every copy: a limit of 0.05 ETH on a new wallet caps your downside at 0.05 ETH regardless of how many trades fire.

The platform gives you the tools; the judgment on which wallets to trust is still yours.

Base DEXes You Are Trading On

On Base, Banana Gun Pro routes across Uniswap v2/v3, Sushiswap v2/v3, Baseswap v2/v3, Aerodrome, and Pancakeswap v2/v3 automatically. You do not pick the DEX manually; the bot selects the best available route for the token you are copying into. Aerodrome handles a significant share of Base native token volume, so having it in the routing stack matters for newer launches that have not yet migrated to Uniswap v3. Base is an EVM chain, which means there are no sniping-DEX restrictions of the kind you find on Solana, so any token listed on those DEXes is available for copy trading without extra configuration. Multi-hop routing also means the bot can fill your order across two pools in the same transaction when single-pool liquidity is thin. The same copy trade setup is also accessible from the unified Telegram bot at bananagun.io, which covers Base, ETH, SOL, BNB Chain, and more in one session.

Frequently Asked Questions

How do you copy top traders on Base?

Log in to Banana Gun Pro at pro.bananagun.io using Google, Twitter, or Telegram via Privy. Fund your Base wallet with ETH on Base. Use the Top Traders widget to find a high-PNL wallet, hover the address for a full PNL card, then click to open the Copy Trade widget. Set your target wallet, max buy, and spend limit. The bot then mirrors every qualifying buy that wallet makes on Base.

Do you need MetaMask to copy trade on Base?

No. Banana Gun Pro uses Privy for login, accepting Google, Twitter, or Telegram accounts. Privy generates your private keys locally in your browser, so no browser extension and no seed phrase management is required. The setup is fully non-custodial: your keys never leave your device, and the platform does not hold your funds.

How do you avoid copying scam wallets?

Use the Labels filter in the Top Traders widget to exclude developers, bundlers, snipers, and pump.fun buyers, all of which may show high PNL from insider positioning rather than skill. Then check the wallet’s recent trades independently in a wallet scanner before setting up any copy. Set a SPEND LIMIT on every copy trade so a single bad call cannot drain your full balance.

How fast is copy trading on Base?

Banana Gun Pro supports block 0 copy trading on Base via Base Flashblocks. Base divides its ~2-second blocks into ten ~200ms sub-blocks, and Banana Gun uses this to submit your copy trade at the earliest preconfirmation point, so your buy can land in the same block as the target trader’s entry. This is not a guaranteed 200ms execution time; it describes the sub-block granularity that makes block 0 entry possible.

May 2026 Biggest 100x Opportunity Emerges as BlockDAG First Utility Token TURBO Presale Gains Attention

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The current state of the digital coin market is one that prizes exactness over just being excited. Bitcoin is holding steady between $76,000 and $77,500 after a long time of staying flat, the Altcoin Season Index remains low in the 30-40 range, and Bitcoin’s share of the market stays strong at 58-60%. This is not an environment where every single coin goes up together. Instead, it is a period where money moves specifically into projects that have a mechanical reason to do well, and away from those just relying on a good story.

In this situation, the most fascinating opening in the early sale market is not a meme coin or a new network promising to change Bitcoin. It is TURBO, the first utility token made right into the BlockDAG (BDAG) system. This is a network that has already gathered more than $400 million during its own early stages and is now getting ready to start a whole new economic system on top of it.

TURBO Acts as the Core Layer for a $400M+ System

To see why TURBO is important, you first have to understand what BlockDAG has achieved. BlockDAG has created one of the most popular early sales in the history of the market, passing $400 million in money raised while making a fully working Layer 1 network. Chain ID 1404 is active. The tracker at bdagscan.com is live. BDAG works as the main coin for the network. This is not just a plan for a future network. It is a system that already works on a large scale, with a community of owners and builders already inside.

TURBO is the very first utility token to start on that system. This order is very important. Most early tokens start on networks that do not even work yet. TURBO is starting on a network that has already shown $400M+ in demand from the market, with all the safety checks and tools already finished and tested.

The Coin Rules are Made for Lasting Rarity

The way the supply is built is where TURBO stands apart from every other early sale today. Fifty billion tokens were made at the very start. No more can ever be created. There is no way for the team to make more later. The supply is set, limited, and can be proven by anyone.

From that top limit, the weekly group coin destruction begins right away. Every seven days, 90% of the amount for that week is sent for good to a locked wallet, and the proof is put on the BlockDAG Explorer for any person to check. The other 10% is given to a random group of people who hold the coin. The goal for the long term is to cut the supply from 50 billion to 25 billion through this weekly, automatic task.

Your own coins are never taken or lowered. The group destroys coins from its own 22.5 billion reserve. The total supply gets smaller around those who hold the coin, not by taking from their own wallets.

Future Use: What Happens After the Start

The main use for TURBO is in gaming and casino tools on the BlockDAG network, including bets, adding money, special status, and rewards. This is the base that creates a real need for the coin from day one.

After the start, more features will come out in stages, including reward-earning, a tiered special status system with prizes, and a whole digital art system. Every new part that starts after the launch acts as a fresh boost for the coin, and every Stage 1 buyer is already in place before any of these things happen.

Why Stage 1 Costs are Vital Right Now

Phase 1 is currently open at $0.0005. The goal for the start of trading is $0.04. That is an 80x difference, or a 7,900% jump, between today’s early entry and the planned debut on exchanges.

The math is very simple. A $1,000 buy at Stage 1 gets you 2,000,000 TURBO tokens. If the project hits its $0.04 goal, that buy is worth $80,000. That same $1,000 put in at Stage 5 would get you far fewer tokens at a much higher cost.

Stage 1 is also made to have the most coins in the whole 10-stage plan. Every stage after this has fewer coins and costs more. The opening available today is the cheapest the token will ever be. Once Stage 1 shuts, that cost is gone forever.

Final Say

The setup for TURBO brings together things that most early projects only have one of: a working network already proven by $400M+ in demand, a set supply that gets smaller by itself, and real use in games, plus a Stage 1 cost that is still very low.

For those hunting for the next big thing in May 2026, TURBO is built to deliver. Stage 1 is open. The coin destruction is moving. The system is already built. The only thing left is the timing, and the door is closing with every stage. This is why many consider it the best crypto presale to buy right now.

Join BDAG TURBO Presale Now:

Presale: https://purchase.blockdag.network

Website: https://blockdag.network

Telegram: https://t.me/blockDAGnetworkOfficial

Discord: https://discord.gg/Q7BxghMVyu

Iran War Drives Eurozone Inflation Fears

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The conflict involving Iran has become one of the most significant economic risks facing Europe in 2026, reigniting concerns that the eurozone could experience another period of elevated inflation just as policymakers believed price pressures were finally coming under control.

While the war’s direct effects are concentrated in the Middle East, its economic consequences are being felt across Europe through higher energy costs, disrupted supply chains, and growing uncertainty among businesses and consumers. At the center of these concerns is energy.

Europe remains heavily dependent on imported oil and liquefied natural gas, much of which travels through the strategically important Strait of Hormuz. Any threat to this shipping route immediately raises fears of supply shortages and sends commodity prices higher. Recent reports show oil prices approaching $100 per barrel as geopolitical tensions intensified, while natural gas prices have also surged amid concerns about future deliveries.

The impact on inflation is already becoming visible. Inflation across the eurozone has remained above the target level set by the European Central Bank, with rising fuel and transportation costs beginning to filter through the broader economy.

Economists warn that energy-driven price increases rarely remain confined to gasoline and electricity bills. Instead, they gradually affect manufacturing, logistics, food production, and consumer goods, creating widespread inflationary pressure.  The challenge for Europe is that inflation is returning at a time when economic growth remains fragile. Several indicators suggest that business activity across the eurozone has slowed as firms face rising input costs and weaker demand.

Manufacturing surveys show companies struggling with higher commodity prices and longer delivery times, while business confidence has deteriorated amid uncertainty surrounding the conflict. This combination of slowing growth and rising prices has revived fears of stagflation—a particularly difficult economic environment for policymakers. Officials at the ECB have openly acknowledged these risks.

ECB President Christine Lagarde has warned that the Iran conflict could have a material impact on inflation, particularly if disruptions to oil and gas supplies persist. Under more severe scenarios, ECB projections suggest inflation could climb substantially above current forecasts, forcing the central bank to consider tighter monetary policy even as growth weakens.  European consumers are also beginning to feel the effects.

Higher fuel prices reduce household purchasing power, leaving families with less disposable income for other goods and services. Businesses face a similar challenge as rising energy bills squeeze profit margins and force difficult decisions regarding investment, hiring, and production. Surveys across the region indicate declining consumer confidence as households prepare for the possibility of sustained price increases.

Looking ahead, the duration of the conflict will likely determine the severity of the inflation threat. If energy markets stabilize and supply routes remain open, Europe may avoid the worst-case scenario.

However, a prolonged disruption could push inflation higher, weaken economic growth, and force the ECB into difficult policy choices. For a region still recovering from previous energy shocks and inflationary episodes, the Iran war has become a stark reminder of how geopolitical conflicts can rapidly reshape economic realities far beyond the battlefield.