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+0.3 usdt Jul-07-2026 12:26:42 PM +UTC 0xd33A265054a6dcB50ab8c6770&** 0x46a9389fe1b1d08ac58f3a5769891d8a01f9b28566c36c287a8e5f48d0b4d7aa Викторина в чате Profit-Hunters biz Спасибки 🤗

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The Fed vs the BoJ: who will win the battle for the USDJPY rate The yen is once again attempting to recover after losing ground against the USD, with the USDJPY rate currently at 161.70. Technical outlook On the H4 chart, the USDJPY pair has formed a Shooting Star reversal pattern near the upper Bollinger Band and is trading around 161.65. Since the price remains within an ascending channel, it may continue its corrective wave following the pattern signal, with the downside target at 161.30. The yen continues its struggle against the USD and is once again attempting to strengthen without waiting for intervention from the Japanese government. Read more - USDJPY Forecast Attention! Forecasts presented in this section only reflect the author’s private opinion and should not be considered as guidance for trading. RoboForex bears no responsibility for trading results based on trading recommendations described in these analytical reviews. Sincerely, The RoboForex Team

US Tech forecast: the index continues to trade sideways The US Tech index is trading sideways without a clear trend. The US Tech forecast for next week is positive. US Tech forecast: key takeaways Recent data: US services PMI came in at 51.2 in June 2026 Market impact: the current data has a negative impact on the technology sector Fundamental analysis US services PMI data appears moderately negative for the market, but it does not represent a strong stress signal. The actual PMI reading was 51.2, compared to the forecast of 51.3 and the previous reading of 51.3. For the US Tech, the impact could be mixed. On the one hand, weaker PMI indicates slower activity across the largest part of the US economy. RoboForex Market Analysis & Forex Forecasts Attention! Forecasts presented in this section only reflect the author’s private opinion and should not be considered as guidance for trading. RoboForex bears no responsibility for trading results based on trading recommendations described in these analytical reviews. Sincerely, The RoboForex Team

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Many traders lose because they lack proper risk management, trade emotionally, use excessive leverage, and enter without a tested strategy. They often chase quick profits instead of building skills and discipline. Poor market knowledge, unrealistic expectations, and ignoring losses can lead to consistent mistakes and account damage.

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Influencer marketing already generates 42% of new player registrations in iGaming, making streamers one of the strongest acquisition channels today. According to the SOFTSWISS 2026 iGaming Trends Report, creator partnerships have evolved from brand-awareness campaigns into measurable performance channels with lower acquisition costs and long-term value. That's one channel worth keeping an eye on, darling. For affiliates working on Revenue Share, streamer traffic increasingly behaves like SEO: it continues to deliver value long after the first click. Why Streamers Convert Better Than Display Ads Display campaigns still have their place, but creators bring something banners can't — trust. Live audiences watch wins, losses, reactions, and conversations in real time. That creates credibility, and credibility drives deposits. Current data shows: 42% of new player registrations come from influencer campaigns. Creator traffic often delivers lower acquisition costs than many paid media channels. Revenue Share partnerships continue to generate value over multiple viewing sessions rather than relying on a single click. Twitch, Kick, or YouTube? Not every platform plays by the same rules. Here's the quick overview: Twitch — stricter moderation but still supports certain iGaming content. Kick — more creator-friendly with fewer restrictions for 18+ audiences. YouTube — ideal for review content but applies stronger age restrictions and disclosure requirements. Launching the same campaign everywhere without checking platform rules? That's how affiliates end up blowing their wig. Flat Fee, RevShare or Hybrid? Most streamer partnerships follow one of three models: Flat Fee — fixed payment regardless of results. Revenue Share / CPA — creators earn based on conversions. Hybrid — combines guaranteed payment with performance rewards. Hybrid deals have become increasingly popular because they balance risk for both sides and encourage long-term collaboration instead of one-off promotions. Industry data also show that typical streamer RevShare agreements range from 25% to 45%, with 60%+ usually reserved for high-performing partners. Bigger Audience = Better Results? It sounds logical. But here's the real question, pal: Would you rather have 50,000 engaged viewers or 500,000 people who barely interact? Today, many affiliates are shifting toward micro and mid-tier creators because they often deliver: higher engagement; lower CPA; stronger Revenue Share performance; more loyal communities. Several smaller streamers frequently outperform one massive sponsorship when the goal is quality FTDs rather than impressions. New Platforms Worth Watching While Twitch, Kick, and YouTube dominate today, affiliates are also experimenting with: Rumble Discord Telegram These platforms usually offer cheaper creator partnerships and lighter competition, although audience data and analytics are often less mature. One thing stays constant: creators follow their audiences. Smart affiliates monitor where communities are moving — not just where they are today. Before You Launch a Streamer Campaign Successful influencer campaigns rely on more than choosing the right creator. Before going live, make sure you: verify audience demographics; use proper sponsorship disclosures; enable postback tracking; review platform-specific requirements; monitor campaigns after launch. Good tracking and ongoing monitoring make the difference between scalable partnerships and unnecessary headaches. Betty's Final Word Streamer marketing has become one of the strongest long-term acquisition channels in iGaming. Choose creators for audience quality rather than follower count, use performance-based deal structures where possible, and invest in accurate tracking from day one. That's how sustainable affiliate growth is built. Want to dive deeper? Our full article explores platform policies, partnership models, attribution, tracking, and creator strategies in much greater detail.

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What can you learn from an exchanger info card in 30 seconds? Found a suitable rate on BestChange, so it would be nice to know you can trust the exchanger? It can take just 30 seconds. Hover over or tap the (i) icon next to the exchanger's name, and all the key information will be right in front of you. What an exchanger info card can show ● Age: the longer an exchanger has been operating, the more established and resilient it is likely to be. However, even newer services listed on BestChange have passed our vetting process and are expected to maintain a proper level of service. ● Country: the jurisdiction in which the exchanger operates. This can help you understand which laws and regulations may apply if you need to resolve a dispute or protect your funds. ● Limits: the minimum and maximum exchange amounts. If you want to exchange 10,000 USDT but the service only supports transactions up to 5,000 USDT, it's better to know that before creating an order. You can also check limits directly in the search results: if you enter an amount in the calculator, BestChange will mark offers whose limits do not match your requirements. ● Reserve: the amount of funds available in the exchanger. If the reserve is lower than the amount you want to exchange, the service may not be suitable for your transaction. Again, if you specify an amount in the BestChange calculator, the system will help identify such cases. You can also add an exchanger to your Favorites directly from the card, which is convenient if you regularly use the same services. If, for any reason, you no longer wish to see offers from a particular exchanger, you can add it to your personal Block list. Have more than 30 seconds? Click or tap on “Learn more” You'll be taken to the exchanger's dedicated page, where you can find additional information, including: - How long the exchanger has been listed on BestChange - The total number of reviews - The number of active and resolved complaints Before creating an exchange order, it's always a good idea to read reviews and complaints submitted by other users. Both active and resolved complaints include publicly available correspondence, allowing you to see the nature of the issue and how it was handled. While BestChange moderators continuously monitor exchangers and remove unreliable services from the monitoring system, user feedback remains one of the fastest ways to evaluate service quality. We also recommend paying attention to the AML tag displayed below the exchanger's name. It indicates how the service approaches AML compliance and transaction screening. You can learn more about AML tags here or read an article on our website. Finally, the exchanger's page contains contact information in case you need to clarify any details before proceeding with an exchange.

SuperEx Guide:Futures Trading-Advanced Trading Journey（II） Small-Cap Tokens Are No Longer Just Holdings — SuperEx All-Token Perpetuals Unlock Greater Asset Utility In the first article, we introduced the overall concept of All-Token Perpetuals. In today's second installment, we'll take a closer look and dive deeper into how it works. Small-cap tokens have long faced a practical limitation: you can hold them, but you can't easily use them to participate in mainstream market opportunities. If users wanted to trade BTC or ETH perpetual contracts, they typically had to sell their small-cap tokens for USDT first before entering the futures market. While this process may seem straightforward, it often introduces several hidden costs: Trading fees and slippage during token conversion. Frequent portfolio rebalancing that disrupts long-term investment strategies. Missed opportunities when markets move quickly during the conversion process. Small-cap holdings remaining passive assets with limited utility. To solve this challenge, SuperEx introduces All-Token Perpetuals. With All-Token Perpetuals, users can use their existing small-cap tokens directly as both margin and settlement assets while trading perpetual contracts linked to the index prices of major cryptocurrencies such as BTC and ETH. This means small-cap tokens are no longer static assets sitting in your spot wallet—they become productive trading assets capable of participating in broader market opportunities. Compared with traditional futures trading, SuperEx All-Token Perpetuals offer several practical advantages: No need to convert small-cap tokens into USDT first. Use small-cap tokens directly as futures margin. Profits and losses are settled in the original token. Trade contracts tracking mainstream market indices. Balance long-term investing with short-term trading opportunities. What has truly changed isn't simply which token you use for trading—it's the entire trading workflow. In the past, users had to adapt to the platform's settlement model. Now, SuperEx has redesigned its product around the way users actually hold their assets. For long-term holders of small-cap tokens, this is particularly meaningful because it removes the need to choose between keeping your investment and participating in major market trends. Cick to register SuperEx Cick to downoad the SuperEx APP Cick to enter SuperEx CMC Cick to enter SuperEx DAO Academy — Space The Core Value of All-Token Perpetuals SuperEx All-Token Perpetuals deliver several key benefits: Lower Trading Barriers: Participate in BTC and ETH perpetual markets without first converting your assets. Greater Capital Efficiency: Put dormant small-cap holdings to work instead of leaving them idle in spot accounts. Reduced Trading Friction: Eliminate unnecessary conversions, transfers, waiting times, and additional decision-making. More Flexible Trading Strategies: Create new opportunities for long-term holders, professional traders, and quantitative strategies. An Improved Trading Experience: Index-based pricing keeps trading focused on broader market trends rather than the volatility of individual collateral tokens. Perhaps most importantly, you're not trading the price movement of the small-cap token itself. Instead, you're trading the market performance of major assets like BTC and ETH through index-based perpetual contracts. Your small-cap token simply serves as: The collateral. The settlement asset. Meanwhile, the trading direction remains tied to the broader crypto market. This creates a much clearer trading framework: Small-cap tokens serve as your capital. Mainstream crypto indices become the trading instrument. Profits and losses are settled back into your original token. Your portfolio remains intact without constant reallocation. For everyday users, this provides a far more flexible way to participate in the market. For long-term holders, it significantly improves asset efficiency. For professional traders, it introduces new opportunities for hedging, arbitrage, and capital management. Completing the SuperEx Futures Ecosystem All-Token Perpetuals also strengthen the overall SuperEx derivatives product lineup: USDT-Margined Perpetuals — Ideal for standardized trading and capital management. Coin-Margined Perpetuals — Best suited for long-term holders of major cryptocurrencies. All-Token Perpetuals — Connect small-cap token holdings with mainstream market opportunities. Rather than building its derivatives ecosystem around a single settlement asset, SuperEx is expanding its product suite to better reflect how users actually manage diversified crypto portfolios. Final Thoughts As the crypto industry continues to evolve, users need more than additional trading pairs or higher leverage. They need trading products that are more flexible, more capital-efficient, and better aligned with the way they actually hold assets. The launch of SuperEx All-Token Perpetuals represents exactly that kind of user-centric innovation. When small-cap tokens become more than assets waiting for the next bull run—and instead become tools for participating directly in major market movements—their utility, liquidity, and strategic value increase dramatically. SuperEx All-Token Perpetuals put your small-cap assets to work.

SuperEx Educational Series: Understanding Liquidity Network Model #SuperEx #EducationalSeries Cross-chain liquidity often works less like “moving a box” and more like withdrawing money in another city. If you deposit 100 yuan in New York and withdraw 100 yuan in Washington, the exact banknote does not travel with you. The system verifies your balance, gives you local cash, and settles everything in the background. The Liquidity Network Model works in a similar way. When users want to move value from Chain A to Chain B, the asset does not always need to literally travel across chains first. If liquidity already exists on Chain B, the user can receive funds quickly, while the protocol, market makers, solvers, or liquidity providers settle the backend later. In plain English: the money did not teleport. Someone already had liquidity at the destination. Cick to register SuperEx Cick to downoad the SuperEx APP Cick to enter SuperEx CMC Cick to enter SuperEx DAO Academy — Space What Is Liquidity Network Model? The Liquidity Network Model is a system that uses liquidity pools, market makers, solvers, relayers, or liquidity providers distributed across multiple chains to complete cross-chain transfers, swaps, and asset routing. Its focus is not necessarily “physically moving the same asset from Chain A to Chain B.” It is about finding available liquidity on Chain B so the user can receive the result first. For example, a user wants to move USDC from Ethereum to Base. A traditional bridge may lock funds, mint assets, and wait for confirmations. A liquidity network may instead work like this: the user pays on Ethereum, a liquidity provider sends USDC to the user on Base, and the backend later handles settlement, rebalancing, or reimbursement. In one sentence: the Liquidity Network Model uses “inventory in many places” to reduce cross-chain waiting. How Does It Work? A simple way to understand it is a multi-chain convenience store network. The user places an order on Chain A: “I want to receive 100 USDC on Chain B.” The system checks: who has 100 USDC on Chain B? Who offers the best price? Who is fastest? Who has acceptable risk? Then a solver or liquidity provider says, “I can do it.” They send 100 USDC to the user on Chain B first. Later, they recover funds and fees through Chain A or the protocol’s settlement system. Several roles are involved: The user submits the cross-chain request. Liquidity providers prepare assets on different chains. Solvers or routers find the best path and quote. Protocol contracts record orders, verification, and settlement. Messaging verification layers confirm source-chain events. Rebalancing mechanisms move liquidity back into healthy distribution. So this is not just “sending a transfer.” It is a capital coordination system. The front end feels smooth, while the backend is doing all the accounting. The whole vibe is: user stays calm, system handles the mess. Why It Matters One of the biggest problems in a multi-chain world is liquidity fragmentation. The same asset may be spread across Ethereum, Arbitrum, Base, Optimism, Solana, BNB Chain, and other networks. Every chain has some liquidity, but no single chain always has enough where users need it. The money exists, just not here. That is painful. The value of the Liquidity Network Model is that it organizes fragmented liquidity so users do not manually search for bridges, pools, gas, and the cheapest route. The system routes assets for them. Users only need to express the outcome: where funds start, where funds arrive, and what fee or slippage they accept. This is why intent-based cross-chain experiences are becoming important. Users do not want to study routes. They want to say, “Give me this result.” How it happens should be handled by the system. Technical Approaches The first approach is the liquidity pool model. A protocol deploys pools across multiple chains. Users deposit on one chain and withdraw from a pool on another. It is easy to understand, but pools need enough depth. Otherwise, large transactions face painful slippage. The second approach is the solver model. Users submit a cross-chain intent, and solvers compete to fulfill it. Whoever offers better pricing, faster execution, and lower fees wins the order. This creates a great user experience, but depends on solver liquidity and risk management. The third approach is routing aggregation. The system checks multiple bridges, DEXs, liquidity networks, and messaging protocols, then splits orders, combines routes, and optimizes cost. It is like cross-chain navigation: many routes exist, but the user sees the final plan. The fourth approach is unified liquidity. Some protocols try to abstract multi-chain liquidity into one unified pool or settlement layer, making users feel like they are using one market. Nice idea, hard execution. Security, finality, pricing, and rebalancing all need serious design. The fifth approach is rebalancing. A liquidity network is not a perpetual motion machine. If Chain B keeps paying out and Chain A keeps receiving deposits, balances drift. The system needs arbitrage, incentives, fee adjustments, or professional market makers to rebalance liquidity. Difference from Bridges A traditional bridge often feels like “asset proof plus minting or release.” The Liquidity Network Model feels more like “local inventory plus backend settlement.” A bridge asks: was the asset locked on Chain A? Can it be minted or released on Chain B? A liquidity network asks: is there inventory on Chain B? Who will front it? What is the price? How do we settle later? Of course, they are not mutually exclusive. Many systems combine bridges, messaging verification, liquidity networks, solvers, and settlement layers. Real systems are messy. Protocol design is not a textbook exercise. A Simple Case Now, it’s time for everyone’s favorite — Alice is back! ⭐ Suppose Alice wants to move 1,000 USDC from Ethereum to Base. With a traditional flow, she may need to choose a bridge, confirm the destination chain, wait for confirmations, and prepare gas on Base. If anything gets stuck, she starts questioning reality: I just wanted to move money, why does this feel like a multi-step quest? With a liquidity network, Alice submits the intent: use USDC on Ethereum and receive USDC on Base. The system finds a solver. The solver has USDC on Base and sends 1,000 USDC to Alice first. Alice receives funds quickly. Later, the solver recovers Alice’s payment and fee from Ethereum. Alice sees: fast arrival. The system does: quoting, matching, fronting liquidity, verification, settlement, and rebalancing. That is the appeal of the Liquidity Network Model: users do not need to understand the kitchen, as long as the dish arrives correctly. Common Misunderstandings First misunderstanding: a liquidity network is just a bridge. Not exactly. A bridge focuses on cross-chain proof and asset issuance or release. A liquidity network focuses on destination liquidity and settlement. Some systems use both, but they are not the same thing. Second misunderstanding: fast arrival means safer. Not necessarily. It may be fast because someone fronted liquidity on the destination chain. User experience is fast, but backend settlement risk may still exist. Third misunderstanding: more liquidity makes the system unbeatable. No. More liquidity helps, but distribution matters. Who provides it? Where is it located? How are fees priced? Will liquidity disappear under stress? Is it concentrated? More money does not automatically mean better design. Fourth misunderstanding: solvers are doing charity. Nope. Solvers front capital, take risk, and handle rebalancing because they earn fees, spreads, or incentives. Without proper returns, nobody funds your smooth UX. In the adult world, the spreadsheet always shows up. Risks and Limitations First, there is liquidity exhaustion risk. Popular routes may work smoothly, while unpopular routes may have no takers. Under market stress, solvers may become conservative. Then users realize: the system is not refusing service; the destination is out of inventory. Second, there is concentration risk. If a few market makers or solvers control most liquidity, the experience may be good, but dependency increases. If they go offline, withdraw liquidity, or get attacked, the impact is obvious. Third, pricing and slippage matter. Cross-chain cost is not only the visible fee. It includes exchange rate, route, waiting time, and final received amount. Some users only look at the fee and then quietly discover they received less. Fourth, settlement and finality risk matters. A solver may pay the user first, but later recovery depends on source-chain finality, message verification, contract security, and settlement rules. Finally, rebalancing costs exist. Liquidity distribution will not stay perfect forever. The system must constantly rebalance inventory, and that cost eventually appears in fees, pricing, or waiting time. Conclusion The core value of the Liquidity Network Model is turning “assets cannot easily get here” into “someone here can fulfill the order first.” It does not remove cross-chain risk, and it does not make assets teleport. It uses liquidity providers, solvers, routers, pools, and settlement mechanisms to make the experience feel closer to ordinary finance: withdraw value where you need it. If Web3 truly becomes multi-chain, users cannot spend every day studying which chain has deeper liquidity, which bridge is cheaper, and which pool has lower slippage. The mature direction is intent-based: I want to go from here to there, receive this asset, keep fees reasonable, and do not make me wait forever. The Liquidity Network Model turns this from “users manually finding routes” into “the system finding liquidity, routes, and execution providers.” In plain words: stop making users become cross-chain dispatchers. They are tired.

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