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BTC to XMR Without Building Another Exchange Profile Walk through a Bitcoin-to-Monero route while keeping timing, queue behavior, and address checks visible. The useful standard is not a broad claim, but a workflow that a user can check before sending funds. Read the full article: https://dex.fo

User note: Multiple orders do not erase volume-analysis risk. Several orders are still several public deposits. Splitting size does not remove timing and volume context. https://mixtum.io/?mix

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Meta: One Trendline Away From Reversing an Eight-Month Downtrend Meta just delivered a genuinely strange quarter: revenue beat, earnings missed, and the market couldn't quite decide how to feel about it. Q2 revenue came in at $60.8 billion, above the $60.22 billion consensus and up 28% year-over-year, yet EPS landed at $6.18 against $7.19 expected, sending shares down roughly 3.4% in the immediate aftermath. The real story sits beneath the headline numbers. Free cash flow collapsed 91% year-over-year to just $784 million, a direct consequence of Zuckerberg's aggressive AI buildout, with capex alone hitting $31.1 billion in the quarter as part of a planned $130-145 billion for the full year. The company is betting big on what it calls "personal superintelligence," recently launching new Muse AI models to back that ambition, while its Family of Apps still reached 3.6 billion daily active people in June, proof the core business remains formidable. Adding to the pressure, fresh privacy scrutiny in Europe and mounting US legal challenges around youth safety have kept sentiment cautious. With shares down roughly 11% year-to-date and trading well below their 52-week high near $796, the market is clearly still weighing whether this AI bet will pay off. 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.

EUR/GBP Analysis: Triangle Breakout Attempt Following an Uptrend On 13 August, the UK Office for National Statistics (ONS) reported that GDP growth slowed to 0.4% quarter-on-quarter in the second quarter, down from 0.6% in the first quarter. The figure was in line with expectations, and the market reaction was relatively muted. The interest-rate backdrop has also remained broadly unchanged for several weeks. On 30 July, the Bank of England kept its policy rate at 3.75%, while the ECB left its rate at 2.25% on 23 July. With both decisions largely priced into the market, the absence of fresh guidance from either central bank means that short-term EUR/GBP price action may be driven more by technical factors than by the latest macroeconomic data. 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.

Privacy in crypto is becoming more critical every year, especially after regulators started putting more pressure on exchanges. We chose a position of non-interference. When someone wants to anonymously exchange Litecoin (LTC) without KYC and AML, they get exactly that - no compromises, no hidden conditions. Exchange without a passport means we don't know your name, address, or phone number. And we don't want to know. The only contact is the network transaction. We don't use AML scoring, we don't filter coins by origin, and we don't divide them into clean and dirty. They're all the same to us. And yes, instant cryptocurrency exchange without registration doesn't require any preparatory actions from the user. No confirmations, no waiting, no explanations. Just functionality that works.

What Happens When a Scraper Gets Blocked Scrapers typically receive 403 and 429 errors when a server detects overly frequent requests, repetitive network patterns, or IP addresses with a poor reputation. 🔥 Common causes: - Request frequency that is too high or too uniform - Incorrect headers or User-Agent configuration - Exceeding the target server’s rate limits - Low-reputation or overloaded IP addresses ⚡️ What helps: - Exponential backoff → increasing delays after errors - Rotating residential proxies → distributing independent requests across IPs - Mobile proxies → tasks with stricter network trust requirements - Datacenter proxies → fast data collection from less protected resources A resilient scraper should respect server limits, handle 403/429 responses correctly, and change its network route only when it genuinely fits the logic of the task. The detailed video is already available on our channel

Date: 14th August 2026. PPI Boosts Market Sentiment, Pushing Stocks Higher. The latest inflation data from Wednesday saw the possibility of an interest rate hike fall slightly. However, an even more positive development for the stock market is the latest producer price index. The first reaction to the release of the Producer Price Index was minimal, but volatility soon kicked in as the US session opened. The Producer Price Index did not rise at all in July, whereas analysts were expecting a moderate rise of 0.2%. As a result, producer inflation fell from 5.5% to 4.7%, significantly lower than market expectations. The PPI YoY continues to read higher than the Federal Reserve’s target but has now seen three consecutive months of declines. In addition to this, the Core Producer Price Index rose 0.2%, lower than the 0.3% consensus. The lower producer inflation, along with the decline in oil prices is supportive of the global stock market. Crude oil prices have fallen more than 2% over the past 24 hours and any further decline could indicate a prolonged pause by the Federal Reserve. The possibility of an interest rate hike in September continues to fall, from 40% on Wednesday to 32% this morning. As a result, sentiment towards the stock market could rise further. However, analysts continue to advise that up-and-down volatility in the medium to longer term is likely to continue due to the AI trend, high earnings, and fear over AI-spending. Cisco and Applied Materials Earnings Report Cisco, which made its quarterly earnings report public on Wednesday, is the 15th most influential stock in the NASDAQ. Applied Materials Inc. is the 16th most influential and together they make up 2.10% of the NASDAQ. Cisco’s latest earnings report was strong, with fourth-quarter revenue rising 18% year-on- year to $17.3 billion, beating the high end of its guidance, while non-GAAP EPS increased 23% to $1.22. Cisco also reported a 35% increase in total product orders, with networking orders up 40%. Looking ahead, the company expects $72.2–$73.4 billion in revenue, suggesting continued growth. However, due to AI spending and the slightly lower gross margin are triggering a sell-off for the time being. Applied Material stock has fallen 5% after the company announced its quarterly report, weakening the bullish momentum of the NASDAQ. Applied Material Inc. is experiencing a similar reaction to most stocks within this earnings season. The company saw both earnings and revenue beat expectations, but the stock declines suggest that the results were simply not high enough. PPI Report Boost The NASDAQ The NASDAQ rose more than 1.30% in response to the Producer Price Index reading considerably lower than expectations. The inflation rate decline did little to change analysts’ views on upcoming interest rate decisions. However, Thursday’s PPI report was seen as particularly positive for the stock market. The price of the NASDAQ is now trading above key moving averages on most timeframes and is yet to become overbought. In addition to this, the VIX continues to trade lower, indicating strong investor sentiment for now. However, the price this morning is trading slightly below the VWAP. Therefore, buy signals will strengthen once bullish momentum is regained. Lastly, 76% of the NASDAQ’s most influential companies rose on Thursday, providing a further bullish indication from component analysis. HFM - NASDAQ 30-Minute Chart Key Takeaway Points: Inflation is cooling: July PPI was flat, lowering September Fed hike odds from 40% to 32%, which is bullish for stocks. Earnings are strong, but expectations are higher: Cisco and Applied Materials beat estimates, yet both sold off as investors demanded more. NASDAQ remains bullish: It jumped 1.3%+, trades above key moving averages, and remains below overbought levels. Momentum needs confirmation: The VIX is falling, but NASDAQ is slightly below VWAP, so short-term volatility remains likely. 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. Michalis Efthymiou 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.

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ÐOGE Pay is a game-changer: Dogecoin could surprise the market Awaiting a driver for further movement, DOGEUSD is correcting today, with the price currently at 0.06967. Technical outlook On the H4 chart, DOGEUSD formed a Hammer reversal pattern near the lower Bollinger Band. At this stage, prices could form an upward wave as the pattern signal plays out, with the correction target at the 0.07225 resistance level. Dogecoin remains sensitive to broader cryptocurrency market sentiment. Read more - DOGEUSD 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

📊 BTC Market Update — August 14 ₿ Bitcoin is hovering around $63K, struggling to hold above $65K as ETF demand is offset by selling from miners and corporate BTC holders. 📉 BTC remains trapped in the $62K–$66K range, while recent U.S. economic data has yet to trigger a sustained breakout. 🔮 What to watch: • Above $66K → bullish momentum could strengthen. • Between $62K–$66K → consolidation continues. • Below $62K → $60K comes back into focus. 💬 Which breaks first: $66K or $62K? 👉 PLAY WITH BITCOIN ON VAVE

US Tech forecast: index poised to reach a new all-time high The US Tech index has broken above the resistance level and could set a new all-time high. The US Tech forecast for next week is positive. US Tech forecast: key takeaways Recent data: US CPI rose by 3.4% year-on-year in July Market impact: the current data is positive for the technology sector Fundamental analysis The US inflation data is, overall, a moderately positive signal for the US Tech index and the US stock market. Annual consumer price inflation slowed from 3.5% to 3.4% in July. At the same time, monthly price growth was only 0.1%, while core inflation, excluding food and energy, rose by 0.2% month-on-month and slowed to 2.5% year-on-year from 2.6% previously. The impact on the US Tech index is broadly positive, as the technology sector is particularly sensitive to interest rate expectations. 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

This looks like a useful starting point for anyone trying to understand technical analysis without getting overwhelmed. In the same way, a proper bug check can help interpret signs like shed skins, droppings, or unusual damage, with accurate species identification guiding the right next step.

SuperEx Guide: Listing in the Free Market（III） #SuperEx #Guide #AMM At the end of our previous guide, we briefly introduced the SuperEx Free Market AMM feature. At the time, however, it wasn’t the main focus, so we didn’t explore it in depth. In today’s guide, it’s AMM’s turn to take center stage as we dive deeper into the SuperEx Free Market ecosystem. To truly understand the SuperEx Free Market AMM, we first need to start with the market itself. If you have spent enough time in the crypto market, you may have noticed something fascinating: on a decentralized exchange, or DEX, you can generally buy or sell any supported token whenever liquidity is available. What makes this even more interesting is that you are not trading directly with one specific person. There is no need to wait for a counterparty or for another user to place a matching order. The moment you submit a trade, the system generates a quote and settles the transaction on-chain. This raises several important questions: Who matches these trades? Who provides the quotes? How can an unattended DEX operate around the clock? How does it determine the price of each trade? Why do tokens such as X2Y2, UNI, and PEPE become progressively more expensive when users rush to buy them during a bull market? Why can users earn trading fees simply by depositing tokens into a pool? Why do people say that providing liquidity can result in losses — and what exactly is “impermanent loss”? The answer to all these questions revolves around one concept: AMM — Automated Market Maker. What You Need to Know About AMMs 1. The Core Mechanism of an AMM: The Liquidity Pool One of the AMM’s most important innovations is the pooling of tradable assets in a shared reserve. Consider an ETH/USDT liquidity pool: User A deposits ETH User B deposits USDT User C deposits both ETH and USDT User D also deposits both assets to earn a share of the trading fees Together, these deposited assets form a shared inventory known as a liquidity pool. When users trade through the pool: To buy ETH, a user deposits USDT into the pool and receives an amount of ETH determined by the AMM’s pricing curve To sell ETH, a user deposits ETH into the pool and receives an amount of USDT determined by the same mechanism This structure allows traders to execute transactions: Without waiting for a traditional counterparty Without placing orders in an order book Without relying on a conventional market-making team to quote prices continuously Without unnecessary delays, provided that sufficient liquidity is available The liquidity pool itself effectively acts as the counterparty. The more trading activity a pool generates, the more transaction fees it will generally collect. These fees are distributed among its liquidity providers, or LPs, according to the protocol’s rules. That is why an AMM can generate a quote and execute a swap as soon as the user submits the transaction. 2. The Formula at the Heart of an AMM: x × y = k Uniswap transformed the industry with an exceptionally simple formula: Amount of Token A × Amount of Token B = Constant k In other words: x × y = k This model is known as a Constant Product Market Maker. Consider a simple example. Suppose an ETH/USDT liquidity pool initially contains: 100 ETH 100,000 USDT The pool’s initial reference price is：100,000 ÷ 100 = 1,000 USDT per ETH Its constant product is：k = 100 × 100,000 = 10,000,000 If a user buys 1 ETH from the pool, its ETH reserve decreases to 99 ETH.To preserve x × y = k in a simplified model that excludes transaction fees, the USDT reserve must increase to: 10,000,000 ÷ 99 ≈ 101,010.10 USDT The user would therefore need to add approximately 1,010.10 USDT to withdraw 1 ETH. Once the trade is completed, the price of ETH relative to USDT in the pool will have increased. The more ETH users remove from the pool, the less ETH remains and the higher the average price of subsequent purchases becomes. Conversely, large ETH sales increase the pool’s ETH reserve and reduce its relative price. This explains two familiar market phenomena: The more users buy, the more expensive the asset becomes The more users sell, the cheaper the asset becomes This is how an AMM automatically adjusts its price according to the changing ratio of assets in the pool. How Does an AMM Generate Returns? The core idea behind an AMM is to use an automated algorithm in place of traditional market making. Eligible users can deposit assets into a liquidity pool, become LPs, and potentially earn trading fees and other on-chain incentives. But what keeps an AMM running over time? Its economic model is primarily supported by three components: Transaction fees Price correction driven by arbitrageurs Liquidity incentives offered by the platform Let us examine each component in greater detail. 1. Transaction Fees: A Primary Source of LP Revenue Most AMMs, including protocols such as Uniswap, PancakeSwap, and Curve, charge a percentage-based fee on trades. Depending on the protocol, pool, and asset type, common fee tiers may include: 0.3% 0.05% 0.1% Actual fee rates and distribution arrangements depend on the settings and rules of the relevant protocol and liquidity pool. These fees are generally distributed, either fully or partially, among LPs according to the protocol’s rules. The larger an LP’s share of the pool, the greater the portion of fee revenue they will typically receive. This means that, all else being equal, higher trading volume will generally generate more fee income for liquidity providers. An AMM does not need to predict market sentiment, nor does it require a manager to adjust prices manually. Trades and fee distributions can be executed automatically by on-chain smart contracts under predefined rules. Consider a straightforward example: If a liquidity pool processes USD 20 million in trading volume in one day and charges a 0.3% fee, the total fees generated that day would be: USD 20 million × 0.3% = USD 60,000 This USD 60,000 represents the pool’s total gross fee revenue — not necessarily the net return earned by any individual LP. The actual distribution depends on the protocol’s rules, each LP’s share, the selected liquidity range, asset-price movements, and other factors. The revenue potential of an AMM and its LPs therefore depends heavily on trading volume, liquidity depth, and capital efficiency. 2. Arbitrageurs: Bringing AMM Prices Back into Alignment Prices inside an AMM are calculated by formulas such as x × y = k, based on the ratio of assets held in the pool. They are not synchronized directly or automatically with prices in external markets. Whenever a price difference emerges between an AMM and another market, an arbitrage opportunity may arise: If ETH is cheaper in the AMM than on a centralized exchange, or CEX, an arbitrageur can buy ETH from the AMM and sell it on the CEX If ETH is more expensive in the AMM than on the CEX, an arbitrageur can buy ETH on the CEX and sell it through the AMM Arbitrageurs seek to profit by buying in the lower-priced market and selling in the higher-priced one. In the process, their trades push the AMM price back toward the broader market price. This mechanism provides two major benefits. ① AMMs Do Not Require Continuous Manual Price Management Traditional order-book markets generally rely on market makers to adjust bid and ask quotes continuously. AMMs use algorithmic pricing, while arbitrageurs help align pool prices with external markets by trading on price differences. ② Arbitrageurs Act as Price Correctors When a sufficiently large price gap develops between markets, arbitrageurs continue buying from the lower-priced venue and selling on the higher-priced venue until the difference is no longer large enough to cover transaction fees, gas costs, and other expenses. Arbitrageurs can therefore be viewed as a natural market-making force within the AMM ecosystem. While pursuing their own profits, they also help maintain price alignment across markets. It is important to note that arbitrage primarily helps restore market pricing; arbitrage profits are not automatically distributed to LPs. Although arbitrage trades can generate fees for LPs, they may also contribute to portfolio rebalancing and impermanent loss. 3. LP Incentives: Additional Returns Beyond Trading Fees To attract additional liquidity, many AMM platforms provide LPs with incentives beyond trading fees, such as: Platform-token rewards Liquidity-mining rewards Holding or staking rewards Ecosystem airdrops At their core, these programs use token incentives to attract capital into liquidity pools, improve market depth, and create network effects. Under favorable conditions, this can produce a growth flywheel: More liquidity → Lower slippage and a better trading experience → Higher trading volume → More fee revenue → More LP participation. However, platform-token and liquidity-mining rewards are affected by token prices, emission schedules, and changing market supply and demand. They should therefore not be treated as fixed or risk-free returns. Summary: The Core Economic Mechanisms of an AMM Overall, an AMM ecosystem is supported by three major economic mechanisms: Transaction fees: The most direct and common source of revenue for LPs Arbitrage and price correction: A process that helps align AMM prices with external markets while generating additional trading volume for the pool Platform incentives: Token rewards, liquidity mining, and ecosystem incentives designed to increase potential returns and attract more liquidity AMMs encode the market-making process into algorithms and smart contracts. Liquidity pools act as counterparties, prices adjust automatically according to asset ratios, and ordinary users have the opportunity to participate as liquidity providers. Providing liquidity, however, does not produce risk-free returns. Fees and incentives must be evaluated alongside impermanent loss, token-price volatility, smart-contract vulnerabilities, and market-liquidity risks. In the next guide, we will explore what makes the SuperEx Free Market AMM unique and how it differs from conventional AMM models. 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). Click to register SuperEx Click to download the SuperEx APP Click to enter SuperEx CMC Click to enter SuperEx DAO Academy — Space

Risk management is essential in forex trading because losses are always possible. Traders should control position sizes, avoid excessive leverage, and set clear limits for potential losses. A disciplined approach helps protect trading capital and reduces emotional decisions. Managing risk does not guarantee profits, but it can improve overall trading discipline.

Forex indicators analyze market data to help traders identify trends, momentum, volatility, and possible entry or exit areas. Examples include moving averages, RSI, and MACD. They can support decision-making, but indicators are not guaranteed signals. Traders should combine them with market analysis, discipline, and appropriate risk management.

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