The Fastest Way to Copy Top Traders on Base

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June 2, 2026

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

By

TI Partners

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June 2, 2026

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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

By

Paul Ugbede Godwin

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June 2, 2026

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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.

Tether Brings Google TurboQuant to Everyday Devices, Giving Local AI Data Center-Sized Memory

By

Paul Ugbede Godwin

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June 2, 2026

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Tether’s AI Research Group announced the production release of its open source implementation of TurboQuant, the Google Research memory compression algorithm that drew comparisons to “Pied Piper” from Silicon Valley for its ability to dramatically reduce the memory large AI models need to run. With TurboQuant, Google made a breakthrough in research.

Tether is bringing it to life in production with its open-source local/edge AI engine QVAC Fabric, started as a llama.cpp, now Fabric incorporates several breakthroughs that push the boundaries of local on-device intelligence. The release turns TurboQuant from a paper into open source software that developers can use, test, and adapt across laptops, consumer GPUs, mobile chips, edge devices, and decentralized inference networks.

It includes a full quantization pipeline, adapters for common inference frameworks, developer documentation, and workload-tuned profiles designed for real deployment outside hyperscale data centers.

The change matters because memory is one of the biggest reasons useful AI tasks still get pushed to the cloud. When someone uses an AI assistant, the model not only needs memory to load but it also needs working memory to remember the conversation, document, codebase, or instructions it has already seen. That working memory is called the KV cache, and it grows as the session gets longer. A short prompt may be easy to handle.

A full contract, financial filing, research report, book, code repository, or several hours of conversation can push memory requirements beyond what most laptops, phones, and consumer GPUs can support. At roughly 262,000 tokens, the scale of several hours of conversation or a few hundred pages of text, the KV cache for a 4B model can use about 8 GB of memory on its own. Four sessions at that size can push the cache alone to around 32 GB before accounting for the memory needed to load the model itself.

That is why many AI experiences still rely on remote data centers, even when users would prefer to keep their work local. TurboQuant changes that equation by compressing the KV cache up to 5x while maintaining output quality close to an uncompressed model. In practical terms, this means local AI can handle longer conversations, larger files, more context, and heavier workloads on the hardware people already own.

For users, this can mean asking an AI assistant on a laptop to read and analyze a hundred-page legal document without uploading the full file to a cloud provider.

It can mean a student using an on-device tutor that retains an entire study session rather than losing context after a few messages. It can mean a developer running a local coding assistant that understands more of a codebase at once. It can mean a journalist, doctor, researcher, or small business owner using AI on sensitive files while keeping more of that work on the device.

For developers and startups, it means larger AI products can be built without assuming access to expensive GPU clusters. Instead of designing around short context windows, strict memory limits, or cloud-only deployment, teams can use TurboQuant to support longer sessions, larger workloads, and more flexible deployment across consumer hardware, edge devices, and peer-to-peer networks.

Google’s research showed that AI memory could be compressed far more efficiently than most people assumed. Our work brings that breakthrough into production software that developers, startups, and users can actually build with, said Paolo Ardoino, CEO of Tether. “If long context AI only works inside the largest data centers, then AI will be shaped by whoever owns the most hardware. TurboQuant changes what local AI can do by making memory less of a wall.”

People should be able to ask an AI assistant to read a long document, remember a project, help with code, or work through private information without every task being forced through a remote data center, he added. This is what bringing TurboQuant to production makes possible. It gives local AI more memory, more context, and more room to become useful in everyday life.

Tether’s implementation is designed for environments where production AI often runs into limits: constrained device memory, mixed hardware, long sessions, latency pressure, and deployment outside centralized cloud infrastructure.

Rather than requiring teams to rebuild the research themselves, the open-source release provides the AI developer community with a shared foundation for testing, improving, and adapting TurboQuant across different systems. TurboQuant will be included in QVAC SDK 0.12.0, making it available directly through Fabric, one of the core building blocks in that stack. QVAC SDK is the recommended integration path for developers building within Tether’s AI ecosystem.

At the same time, the SDK brings together the full set of QVAC tools, libraries, and runtime components needed to build local AI applications across devices and environments. The release also advances Tether’s broader AI strategy. The company is building toward AI that can operate closer to users, across personal devices, local networks, and decentralized infrastructure, rather than relying solely on centralized APIs and hyperscale data centers.

Large compute will remain important, but Tether believes the next phase of AI will also be defined by software efficiency, portability, and the ability to run capable models where people actually use them.

“It Is Not Worth $1tn Let Alone $2tn:” Michael Burry Takes Aim at AI and SpaceX IPO, Warns They Run Far Ahead of Reality

By

Samuel Nwite

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June 2, 2026

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Investor Michael Burry, whose prescient bet against the U.S. housing bubble earned him fame during the 2008 financial crisis, has emerged as one of the most prominent skeptics of the latest wave of technology exuberance, casting doubt on whether two of the world’s most celebrated private companies, SpaceX and Anthropic, deserve valuations approaching or exceeding $1 trillion.

In comments posted on his Substack discussion forums over the weekend, Burry questioned the fundamentals underpinning both companies, arguing that investors are increasingly being driven by hype, momentum, and artificial intelligence enthusiasm rather than traditional valuation metrics.

His remarks come at a pivotal moment for global markets, with AI-related stocks, infrastructure providers, and private technology companies commanding some of the richest valuations seen since the dot-com era. The debate is particularly relevant as both SpaceX and Anthropic are widely expected to pursue public listings in the coming months, potentially creating some of the largest technology IPOs in history.

For SpaceX, Burry’s skepticism centers on the growing gap between financial performance and investor expectations.

The Elon Musk-led company recently disclosed in its IPO filing that it generated $18.7 billion in revenue last year while posting a net loss of $4.9 billion. Despite those losses, the company is reportedly targeting a valuation of roughly $2 trillion, a figure that would instantly place it among the most valuable corporations in the world.

Burry was unconvinced.

“Any move up will be on hype and technicals,” he wrote. “Nothing in that S-1 suggests it is worth $1 trillion let alone $2 trillion.”

His comments strike at the heart of a growing debate among institutional investors about how to value companies operating in industries with enormous long-term potential but relatively limited current profitability.

SpaceX occupies a unique position in global markets. It dominates commercial rocket launches through its Falcon program, controls the rapidly expanding Starlink satellite network, and is increasingly viewed as a strategic infrastructure provider for governments and enterprises. Many investors argue that its valuation reflects not only current earnings but also future monopolistic advantages in space transportation, satellite communications, and defense technologies.

Yet Burry’s concerns highlight a familiar warning from previous market cycles: transformative businesses do not automatically justify unlimited valuations.

His criticism also arrives as some market participants expect SpaceX shares to receive unusually rapid inclusion into major indexes following its eventual public debut. Such inclusion would trigger billions of dollars in automatic purchases by passive funds and ETFs, creating substantial demand regardless of underlying fundamentals.

Some analysts have argued that this dynamic could fuel further gains after listing. Burry’s assessment suggests he views those potential gains as technically driven rather than supported by intrinsic value.

Anthropic Too

His concerns extend beyond SpaceX and into the heart of the artificial intelligence boom. Burry was equally dismissive of Anthropic’s recently announced $965 billion valuation, which places the Claude developer among the most highly valued private technology companies ever created.

“There is no guarantee, and not even a strong likelihood, that Anthropic is long-term worth anywhere near $1 trillion,” Burry wrote.

The warning comes as investors pour unprecedented sums into frontier AI companies. Anthropic recently secured a massive funding round and has become one of the leading competitors to OpenAI, benefiting from surging enterprise adoption of generative AI systems and growing demand for advanced models.

However, Burry believes the economics of the AI industry may ultimately prove less attractive than many investors currently assume.

He argued that developing cutting-edge AI models remains extraordinarily expensive and dependent on massive computing resources, making the business vulnerable to future commoditization.

“Far too expensive, too much brute force,” he wrote, describing the current AI model-development race.

His argument reflects a concern raised by a minority of investors and industry observers: while today’s AI leaders enjoy strong demand, the underlying computing power that fuels AI could eventually become a commodity rather than a source of durable competitive advantage.

Burry suggested the current scramble for AI infrastructure may be sending misleading signals to investors.

“What is happening now is a false demand signal,” he wrote.

That statement directly challenges one of the dominant investment narratives of the past two years. Technology companies have committed hundreds of billions of dollars toward AI infrastructure, data centers, advanced chips, and cloud capacity. Nvidia, AMD, Microsoft, Alphabet, Amazon, and numerous private-equity firms have all expanded spending to secure computing resources.

Burry’s concern is that companies may be overbuilding capacity based on temporary demand conditions rather than sustainable long-term requirements. He warned that the current rush for computing power is driving infrastructure construction and hardware orders that could eventually exceed what the industry actually needs.

Such concerns echo previous technology cycles where investors extrapolated rapid growth indefinitely, only to encounter periods of oversupply and declining returns. The telecom boom of the late 1990s and portions of the cloud-computing buildout during the 2010s offer historical examples where infrastructure investment initially outpaced eventual demand.

The implications of Burry’s critique extend well beyond SpaceX and Anthropic.

His comments arrive as markets are increasingly pricing AI as a transformative force capable of reshaping entire industries. Semiconductor stocks, cloud providers, data-center operators, and software companies have all benefited from investor expectations that AI spending will continue rising for years.

Indeed, many Wall Street firms remain overwhelmingly bullish. Goldman Sachs recently raised its S&P 500 target, arguing that AI infrastructure companies could drive roughly half of the index’s earnings growth. Major private-credit firms are assembling tens of billions of dollars in financing for AI-related projects, while companies such as Anthropic and OpenAI continue attracting capital at unprecedented valuations.

Burry’s stance, therefore, represents one of the clearest counterarguments to the prevailing market consensus.

While he is not predicting the collapse of AI itself, his comments suggest investors may be confusing technological importance with investment value. History has repeatedly shown that groundbreaking technologies can transform economies while still producing disappointing returns for investors who buy at excessive valuations.

The Fastest Way to Copy Top Traders on Base

How Copy Trading on Base Actually Works

Getting In Without MetaMask

Finding Wallets Worth Copying: The Top Traders Widget

Setting Up a Copy Trade: Simple vs Advanced Mode

The Risk You Cannot Skip

Base DEXes You Are Trading On