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The main point is comparison map. The key evaluation question is whether a service uses pool shuffling, CoinJoin, XMR bridge, or exchange-sourced replacement. For users comparing privacy tools, this is a practical detail to check before sending BTC. Useful facts for this best Bitcoin mixer comparison topic: 0.001 BTC minimum, 50 BTC maximum, 5% + 0.0007 BTC fee, 1-6 hours processing after first confirmation, and a 7 days active address. Free test: https://bmix.io/?mix=free

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Bitcoin mixer vs CoinJoin wallet: different privacy models. CoinJoin and mixer models solve privacy differently. MixTum frames this around responsible Bitcoin privacy: randomized processing, clean coin return, no registration, no logs after completion, and PGP guarantee per order. https://mixtum.io/?mix

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It comes down to what you offer, if you offer something that is either: - unique, catering towards a market where there is demand of for it - able to bring competitive or even above the competition returns to the affiliates - has an established track record and brand awareness already You may proceed with launching an affiliate program right away To gain trust among affiliates takes time and a lot of effort, but any of the above may get you qualified to start an actual affiliate program. However, for any start up I always strongly recommend to focus on own monetization, getting enough data and fine tuning the product before going public with an affiliate program. If the results for affiliates would be sub-par, thus the product not ready for public promotion, it will do major reputation damage, that will be hard to fix. Once one can monetize its own product, convert traffic and make money with internal media buying or other available sources = that is the timing when one can let in other affiliates on the deal as well.

Alphabet: Record Profit as Markets Await Their Verdict On 22 July, Alphabet reported its Q2 2026 results, with revenue rising 24% year-on-year to $119.8 billion. Google Cloud revenue surged 82% to $24.77 billion, comfortably exceeding analysts' expectations. Search advertising generated $63.3 billion in revenue (+17%), while YouTube revenue increased 13% to $11.06 billion. Net income nearly quadrupled to $112.11 billion. However, according to the company's financial statements, almost all of the increase was driven by unrealised revaluation gains on its private investments in Anthropic and SpaceX rather than by underlying operating performance. Meanwhile, quarterly capital expenditure doubled from a year earlier to $44.9 billion, reflecting continued investment in AI data centre infrastructure. TO VIEW THE FULL ANALYSIS, VISIT FXOPEN BLOG Disclaimer: This article represents the opinion of the Companies operating under the FXOpen brand only (excluding FXOpen EU). It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

Date: 23rd July 2026. Oil Prices Surge Toward $100 as AI Earnings Lift Asian Stocks. Global markets are navigating a delicate balance between optimism over artificial intelligence (AI) investment and growing concerns about the impact of rising energy prices. While strong earnings from major technology companies have supported Asian equities, escalating tensions in the Middle East have pushed Brent crude oil close to $100 per barrel, raising fresh concerns about inflation, interest rates and global economic growth. For CFD traders, these developments are creating opportunities across commodities, stock indices, currencies and energy-related equities, with market sentiment likely to remain driven by both geopolitical headlines and corporate earnings. Oil Prices Rally as Middle East Tensions Threaten Global Supply Oil prices extended their recent gains after Iran-backed Houthi militants reportedly attacked two Saudi oil tankers in the Red Sea, increasing concerns over global energy supply disruptions. Brent crude climbed above $96 per barrel, briefly approaching $98, its highest level in more than a month. The latest attacks have heightened fears that disruptions could spread beyond the Strait of Hormuz to the Bab el-Mandeb Strait, another strategic shipping route that plays a vital role in global oil transportation. The sharp rise in oil prices has become one of the biggest drivers of financial markets, as higher energy costs can: Increase inflationary pressures. Raise operating costs for businesses. Reduce consumer spending. Delay expectations for lower interest rates. If Brent crude continues moving toward the $100 level, energy markets could remain highly volatile while broader equity markets face additional pressure. Asian Stocks Gain as AI Investment Momentum Continues Despite a mixed session on Wall Street, Asian stock markets moved higher as investors regained confidence in semiconductor companies expected to benefit from continued AI investment. South Korea led regional gains, with technology shares outperforming: Samsung Electronics rose around 3%. SK Hynix gained more than 3%. Japan's SoftBank Group also advanced as investors remained optimistic about AI-related growth. The recovery follows stronger-than-expected quarterly results from Alphabet, Google's parent company, which demonstrated continued growth despite significantly increasing its investment in AI infrastructure. Although Alphabet's earnings exceeded expectations, investors reacted cautiously after management announced another substantial increase in capital expenditure. The market is becoming increasingly focused on whether billions of dollars being invested in AI will generate sustainable long-term returns rather than simply rewarding companies for expanding their AI ambitions. Technology Earnings Enter a Critical Phase Alphabet's results mark the beginning of one of the most closely watched earnings seasons in recent years. Investors are now turning their attention to upcoming results from Microsoft, Meta, Amazon and Intel, looking for evidence that heavy investment in AI infrastructure is translating into stronger revenues and profitability. After last week's sharp correction in semiconductor stocks, earnings over the coming weeks could determine whether the AI-driven rally resumes or whether investors become more selective toward technology companies with clear monetisation strategies. The focus has shifted from AI excitement to AI execution. Higher Oil Prices Complicate the Inflation Outlook While corporate earnings remain supportive for equities, rising oil prices present a growing challenge for central banks. Higher energy costs risk slowing the recent decline in inflation, potentially forcing policymakers to keep interest rates elevated for longer than markets previously expected. US Treasury yields have continued moving higher as investors reassess the outlook for monetary policy. Markets are increasingly considering the possibility that the Federal Reserve could delay future rate cuts if inflation proves more persistent due to higher energy prices. This environment generally supports: The US Dollar. Energy producers. Oil-related stocks. At the same time, it may create headwinds for growth-focused sectors, consumer discretionary companies and more interest-rate-sensitive assets. Currency Markets Reflect Shifting Expectations The US Dollar remained relatively strong as Treasury yields stayed elevated. Meanwhile, the Japanese yen continued trading near multi-decade lows against the Dollar, reflecting the widening gap between US and Japanese interest rates. If energy prices remain elevated and US yields continue rising, the Dollar could maintain its strength against several major currencies. Key Events Traders Should Monitor Market volatility is likely to remain elevated over the coming days as investors monitor several major catalysts: Developments in the Middle East and potential disruptions to global oil supply. Whether Brent crude can sustain a move above $95 and challenge the $100 level. Earnings reports from Microsoft, Meta, Amazon and Intel. The European Central Bank's latest policy decision. Next week's Federal Reserve meeting and any changes to interest rate expectations. Market Outlook Global markets are currently being shaped by two powerful themes. Continued investment in artificial intelligence is providing long-term support for technology and semiconductor companies, while rising oil prices are reviving concerns about inflation and slowing expectations for lower interest rates. For CFD traders, this combination is likely to keep volatility elevated across commodities, stock indices, currencies and energy markets. As geopolitical developments continue to influence oil prices and major technology companies report earnings, markets are expected to remain highly sensitive to both economic data and breaking news, creating opportunities for traders prepared to navigate a rapidly changing environment. Always trade with strict risk management. Your capital is the single most important aspect of your trading business. Please note that times displayed based on local time zone and are from time of writing this report. Click HERE to access the full HFM Economic calendar. Want to learn to trade and analyse the markets? Join our webinars and get analysis and trading ideas combined with better understanding of how markets work. Click HERE to register for FREE! Click HERE to READ more Market news. Andria Pichidi HFMarkets Disclaimer: This material is provided as a general marketing communication for information purposes only and does not constitute an independent investment research. Nothing in this communication contains, or should be considered as containing, an investment advice or an investment recommendation or a solicitation for the purpose of buying or selling of any financial instrument. All information provided is gathered from reputable sources and any information containing an indication of past performance is not a guarantee or reliable indicator of future performance. Users acknowledge that any investment in Leveraged Products is characterized by a certain degree of uncertainty and that any investment of this nature involves a high level of risk for which the users are solely responsible and liable. We assume no liability for any loss arising from any investment made based on the information provided in this communication. This communication must not be reproduced or further distributed without our prior written permission.

Appreciate that BeeXpay doesn't force a swap to one specific coin before you can fund a card — accepts BTC, ETH, USDT and more directly, converts to USD right at the deposit moment. Saves an extra swap step and whatever fee/slippage that would've cost. Only thing worth noting: BTC and ETH being more volatile than a stablecoin means the value locks in exactly at confirmation, so timing matters slightly more if the market's moving. Generate a crypto card: https://beexpay.app

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SOLUSD awaits the Clarity Act decision SOLUSD is forming a corrective wave today as markets await a decision on the Clarity Act in the US Senate. The SOLUSD price currently stands at 77.00. Technical outlook On the SOLUSD H4 chart, the price formed a Shooting Star reversal pattern near the upper Bollinger Band. At this stage, quotes may continue their corrective wave as the signal plays out, with the pullback target at the 74.25 support level. The inclusion of SOL in the new S&P Pantera Digital Asset Index alongside Ethereum and BNB. Read more - SOLUSD 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

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Imagine two offers land on your desk: €120 CPA or 35% RevShare. Which one are you taking? Most affiliates judge a deal by the first payout. That's where plenty of scratch gets left on the table. A 2026 iRev model shows that the same traffic can generate €12,000 with CPA or €50,400 with RevShare over 12 months — a 4.2x difference. Which commission model do you usually prefer? Tell us in the comments, darling. The 4.2x advantage comes with conditions RevShare only works when three things line up: High-quality traffic Strong user retention Transparent NGR reporting with no negative carryover In the 100-user model, a €120 CPA pays €12,000 once. The same cohort at 35% RevShare can generate €504 per user annually, totaling €50,400 for the full year. NGR matters more than the headline percentage A 35% RevShare doesn't mean 35% of gross revenue. Your commission is calculated from NGR, after bonuses, chargebacks, processing fees, and other deductions. At small volumes, the impact is easy to overlook. Once you scale beyond 500+ active users, those deductions can significantly reduce your effective earnings. Betty's advice? Always ask how NGR is calculated. Otherwise, that shiny RevShare rate might be all show and no go. Negative Carryover can kill the compounding effect One bad month can wipe out part of the growth you've already built. In iRev's example, a €2,450 negative carryover reduced a 12-month payout from €21,000 to €16,300 — a €4,700 loss entirely due to the deal structure. If you're building long-term RevShare income, look for programs with no negative carryover. Your traffic source decides the best commission model Not every traffic source performs the same under RevShare. SEO delivers the strongest long-term RevShare potential. PPC often performs better with CPA or Hybrid. Facebook and ASO depend heavily on retention. In-app traffic usually fits CPA better. If retention is weak, even the highest RevShare percentage won't save the economics. Hybrid can be the smartest bridge Not ready to commit to RevShare? A Hybrid model combines CPA + RevShare, giving you immediate cash flow while keeping long-term upside if your users continue to generate value. It's often the smartest choice when testing a new traffic source or GEO. Betty's Take RevShare can outperform CPA by a wide margin, but only when retention, NGR transparency, and deal structure work in your favor. Before comparing commission rates, look at how they're calculated. That's where the real money usually hides. Want the full breakdown? Head over to our blog for the complete article with more data, real examples, and practical insights.

Forex is a very volatile market because prices can move quickly due to news, economic changes, and global events. Traders need to stay alert, manage their risks, and avoid making decisions based on emotions. Proper planning and understanding market conditions are important for handling sudden price changes.

Choose a forex broker by checking regulation, spreads, fees, platform reliability, execution speed, customer support, and withdrawal options. A good broker should offer security, transparent terms, and suitable trading tools. Avoid brokers with unrealistic promises or hidden charges, and compare options before making a decision.

We recently added a Crypto Glossary to the Finassets website, focused on terms related to crypto payments and payment gateways. It explains concepts like payment processing, blockchain confirmations, wallets, stablecoins, transaction fees, merchant tools, and other terminology used in the crypto payments industry—all in simple, easy-to-understand language. If you work with crypto payments or are just getting started, it might be a helpful resource.

SuperEx Guide: How to Use Chart Tools and Technical Indicators In crypto trading, many users focus on only two questions when they first open a candlestick chart: is the price going up or down, and is it still a good time to buy? However, mature trading analysis is not just about the color of a single candlestick. It is about using chart tools, trend lines, Fibonacci tools, and technical indicators to observe price structure, support and resistance, trend rhythm, and market strength. SuperEx provides users with TradingView chart tools and a technical indicator library, helping users conduct more intuitive market analysis before trading. However, for most beginners, the first challenge is not understanding charts, tools, or technical indicators. It is: Where can I find the tools? How do I use them? Where can I find technical indicators? That’s exactly what we’re going to cover in today’s article. Where to Find the Candlestick Chart Tools After entering the SuperEx trading page, select any trading pair, and you will see the candlestick chart area. On the chart page, users can find: Timeframe options, such as 1m, 5m, 15m, 30m, 1h, 4h, 12h, 1d, and 1w Candlestick chart / Line chart switch TradingView chart option Drawing toolbar on the left What Can the Left Toolbar Be Used For? The red-box area in the image is mainly the TradingView drawing toolbar. Its purpose is not to directly provide buy or sell signals, but to help users make analysis marks on the chart. Common tools include: Trend line tools: used to connect highs or lows and observe market trend direction Horizontal line tools: used to mark key support and resistance levels Fibonacci Retracement: used to analyze potential price pullback areas Fibonacci Extension: used to observe potential target levels after trend extension Pitchfork tools: used to judge trend channels and price movement ranges Fib Channel: used to observe price movement structure within a channel Fib Time Zone: used to analyze the timing rhythm of price changes Gann Box / Gann Square: used to observe market structure from both price and time dimensions Text and marker tools: used to record personal trading thoughts These tools help users build their own observation framework on the chart, instead of relying only on instinct to judge the market. Three Chart Tools Commonly Used by Beginners If you are just starting to use candlestick analysis, you do not need to use all tools at once. You can begin with the following three types. Trend Lines Trend lines are one of the most basic and commonly used tools.When the price continues to form higher lows, users can connect the lows with a trend line to observe whether the uptrend is continuing. When the price continues to form lower highs, users can connect the highs to observe whether the downtrend remains in place. Useful for observing: Whether the current market is rising, falling, or moving sideways Whether the trend has been broken Whether the price is approaching key trend support or resistance Horizontal Lines Horizontal lines are useful for marking important price levels. For example, if the price repeatedly fails to break above a certain level, it can be marked as resistance. If the price repeatedly rebounds from a certain level, it can be marked as support. Useful for observing: Support levels Resistance levels Breakout levels Retest areas Fibonacci Retracement Fibonacci Retracement is often used to observe potential pullback areas after an upward or downward move. For example, after the price rises from a low to a high, users can use the Fib Retracement tool by drawing from the low to the high and observing common retracement levels such as 0.382, 0.5, and 0.618. Useful for observing: Whether the pullback is approaching key levels Whether the trend remains healthy Potential support or resistance areas How to Find the Technical Indicator Library In addition to drawing tools, SuperEx charts also provide access to technical indicators. Above the candlestick chart, users can see timeframe options such as 1m, 5m, 15m, 1h, 4h, 1d, and 1w. Near these timeframe options, there is an icon similar to a “small chart / indicator” icon. Click it to enter the technical indicator library. In the technical indicator library, users can search for and add common indicators, such as: MA / Moving Average: moving average line EMA: exponential moving average MACD: trend and momentum indicator RSI: relative strength index Bollinger Bands: volatility bands Volume: trading volume KDJ: short-term fluctuation indicator How to Use Common Technical Indicators Different indicators are suitable for observing different dimensions of the market, and users can combine them based on their own trading habits. MA / EMA: observe trend direction and judge whether the price is above or below the moving average MACD: observe changes in trend momentum and help judge market strength RSI: observe whether the market may be overbought or oversold Bollinger Bands: observe price fluctuation ranges and abnormal breakouts Volume: observe whether price movements are supported by trading volume It is important to note that technical indicators are not prediction tools, nor do they guarantee profits. A more reasonable approach is to use indicators as supporting references for market analysis. How to Combine Chart Tools and Technical Indicators For ordinary users, a simple analysis process can be used: First use timeframes to judge the broader direction Then use trend lines to observe price structure Use horizontal lines to mark support and resistance Use Fibonacci tools to observe pullback areas Finally, use indicators such as MACD, RSI, and MA for confirmation For example: The trend line shows that the price is still in an upward channel The horizontal line shows that the price is approaching a key support level RSI has not entered a clear overbought zone MACD momentum has not weakened significantly In this way, users can build a more complete market view instead of making decisions based only on a single candlestick. Final Thoughts The candlestick chart tools and technical indicator library provided by SuperEx are not designed to make trading more complicated, but to help users observe the market more clearly. For beginners, these tools can help you understand trends, support, resistance, and pullbacks. For more advanced users, they can help build a more systematic trading analysis framework. Trading should not rely only on emotion, nor should orders be placed purely by instinct. Learning to use chart tools and technical indicators is the first step from simply “watching the market” to truly “analyzing the market.” Risk Warning: Technical analysis tools and indicators are for reference only and do not guarantee trading results. Cryptocurrency trading involves risk. Please trade rationally based on your own risk tolerance.

Today, the following members celebrate their birthdays: Business Growth USA (23), AkriviaHCM (36), Eleuterio_Campos (41), alexwaia26 (33), Let's wish them a happy birthday!

SuperEx Educational Series: Understanding On-chain AI Inference #SuperEx #EducationalSeries #AI When people hear AI + Web3, they may imagine an AI living directly inside a smart contract, thinking deep thoughts on-chain every day. Sounds futuristic, but let’s calm down. Blockchains are expensive even for relatively simple computation. Asking them to run large AI models directly is like asking a calculator to edit a 4K video. The machine would simply go silent. On-chain AI Inference is not really about stuffing an entire AI model into a contract. The real question is: can smart contracts safely use AI outputs? Did the result come from the intended model? Was it tampered with? Why should the contract believe it? In plain English: AI can help decide, but smart contracts cannot just accept “trust me bro.” What Is On-chain AI Inference? On-chain AI Inference means bringing AI model inference results into blockchain systems so smart contracts can read, verify, and use them. Here, “on-chain” does not always mean the model fully runs on-chain. More commonly, the model runs inference off-chain, while the blockchain receives the result and verifies it through proofs, signatures, challenge mechanisms, TEE attestations, or verifier contracts. In one sentence: On-chain AI Inference turns AI output from “a suggestion on a webpage” into “a trusted input smart contracts can use.” How Does It Work? A typical flow looks like this: A user or contract submits a request, such as “check whether this address looks like a bot,” “score this loan risk,” or “generate a strategy signal from market data.” An AI node, oracle, inference network, or executor runs the model off-chain. The system produces an output, such as a score, classification, text, image hash, or strategy signal. The result is submitted on-chain. The smart contract verifies whether the output came from the intended model, whether the input matches, whether the proof is valid, and whether the result is still fresh. Only then does the contract continue execution. The key point is: the chain may not rerun the AI model, but it needs a way to decide whether the AI result is trustworthy. Why It Matters AI is powerful, but if a smart contract simply calls a centralized API, problems appear. API results can be modified. The model version may change. Inputs may be replaced. The provider may go offline. Outputs may be hard to audit. Worst of all, if a contract moves funds based on a bad AI result, the blockchain will not politely undo it. The value of On-chain AI Inference is turning AI from an off-chain black-box suggestion into a verifiable decision input for smart contracts. This matters for DeFi risk control, on-chain games, AI agents, identity verification, Sybil resistance, RWA valuation, prediction markets, and automated governance. Technical Approaches The first approach is zkML. The model runs off-chain, and the system generates a zero-knowledge proof showing that “this output was produced by this model and this input.” Tools like EZKL and RISC Zero work in verifiable computation. The benefit is strong verification; the downside is proving cost, especially for large models. The second approach is Optimistic ML. The result is submitted first, and the system leaves a challenge window. If someone believes the output is wrong, they can challenge it or submit a fraud proof. ORA’s AI Oracle uses an opML-style approach. It can be more efficient, but needs a strong dispute process. The third approach is TEE-based inference. The model runs inside a trusted execution environment, with hardware attestation proving that expected code ran in a protected environment. It performs better for complex models, but introduces hardware trust and side-channel assumptions. The fourth approach is AI oracles. A smart contract requests inference, an oracle network performs it, and the result is returned on-chain. This is developer-friendly, but security depends on the oracle network, signature thresholds, verification design, and risk controls. The fifth approach is truly on-chain small models. Very small, deterministic, low-cost models or rules can run directly on-chain. But do not imagine putting a 70B model fully inside a contract. The chain would ask whether you are serious. A Simple Case Suppose SuperEx wants to run an on-chain campaign that rewards real active users while filtering large bot farms. A traditional approach may run a model in the backend and tell the contract: “This address is eligible.” The problem is that users and third parties cannot easily know whether the model changed, whether inputs were modified, or whether results were manually adjusted. With On-chain AI Inference, the process can be more trustworthy: SuperEx publishes a model version or model commitment. The user submits behavior data or a data commitment. An AI inference network calculates a risk score. The system submits the result and proof on-chain. After verification, the contract decides whether to distribute rewards. Users may not see every model detail, but at least they know the result is not just a platform saying so. There is on-chain verification behind it. Common Misunderstandings First misunderstanding: On-chain AI Inference means AI fully runs on-chain.Not necessarily. Most practical designs use off-chain inference with on-chain verification or settlement. Fully on-chain execution only fits very small models. Second misunderstanding: if there is a ZK proof, the AI must be correct.No. ZK can prove that an output came from a certain model execution. It does not prove the model is smart, fair, unbiased, or free from bad assumptions. Third misunderstanding: AI oracles are the same as normal oracles.Not exactly. Price oracles usually return structured data. AI oracles may return classifications, scores, text, images, or strategy judgments. The output is more complex, and verification is harder. Fourth misunderstanding: once AI is on-chain, it can govern everything automatically.Relax. AI can assist, but if models control funds, voting, liquidations, or bans, there must be permission boundaries, human fallback, audits, and emergency controls. Risks and Limitations First is cost. AI inference is already heavy, and proving AI inference can be heavier. Small models are manageable, but verifiable inference for large models brings cost, latency, and engineering complexity. Second is model governance. What happens when the model upgrades? What if parameters change? Are old outputs still valid? Who decides model versions? These questions need governance and contract-level rules. Third is data privacy. AI inputs may include user behavior, identity, assets, or business data. Putting them directly on-chain is often a bad idea. Systems need commitments, encryption, selective disclosure, TEEs, or ZK to protect privacy. Fourth is output uncertainty. Some models are not naturally deterministic, especially generative models. Smart contracts prefer deterministic results. Sampling, temperature, and prompt changes can all affect outputs. Fifth is responsibility. If the AI inference is wrong, who is responsible? The model provider, node operator, oracle, app, DAO, or user? Do not wait until funds are gone to start a meeting. Conclusion The core value of On-chain AI Inference is making AI outputs verifiable, usable, and settleable by on-chain systems. It does not force all AI computation onto blockchains, and it does not magically give contracts a brain. It uses zkML, opML, TEEs, AI oracles, model commitments, and verifier contracts so smart contracts have a reason to trust AI outputs. Future AI in Web3 will not just be a chatbot window. It may support risk control, identity, trading, gaming, governance, RWA valuation, and automated execution. But the more it affects real assets, the less acceptable black-box answers become. In plain words, AI can come on-chain to help.But the on-chain world will ask one very simple question: where is the proof? About SuperEx As the world’s first Web3-powered cryptocurrency exchange, SuperEx has remained committed to building the Web3 ecosystem. Over the years, it has introduced a comprehensive range of products and services, including SuperEx DAO, SuperEx Web3 Wallet, Super Start, SuperEx P2P, SuperEx Stock Markets, SuperEx Copy Trading, SuperEx Earn, and SuperEx DAO Academy, creating a full-spectrum ecosystem that spans every major sector of Web3. Today, SuperEx serves over 10 million users, with a social media community of more than 600,000 followers across 166 countries and regions worldwide. The platform supports 1,000+ cryptocurrencies for both spot and futures trading. Seamlessly integrated with Super Wallet, SuperEx provides decentralized asset custody while combining the trading efficiency of a centralized exchange (CEX) with the security of a decentralized exchange (DEX). Cick to register SuperEx Cick to downoad the SuperEx APP Cick to enter SuperEx CMC Cick to enter SuperEx DAO Academy — Space

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