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Date: 24th July 2026. Gold Regains Short-Term Momentum as Trump Introduces New Tariffs. Gold prices fell after attempting to regain bullish momentum throughout the week. Both the US Dollar and Gold have been rising simultaneously over the past week despite their inverse correlation. On Thursday, Gold gave way, declining by 1.95% as the US Dollar continued to rise further. On Friday, Gold was quick to rebound after a poor session on Thursday due to Trump introducing new trade tariffs. However, investors are contemplating whether the commodity can retain its bullish momentum in the long term. This will largely depend on the US Dollar, the Middle East tensions, and global interest rates. Gold’s Poor Performance Gold prices are facing pressure as investors shift money into equities and assets that benefit from higher interest rates. Even though Gold has shown strong bullish price movement at the European open, the US Dollar is not experiencing the equivalent weakness. At the same time, the longer-term pressures for Gold remain, meaning traders should remain cautious of upward impulse waves. According to the World Gold Council (WGC), Chinese physically backed gold ETFs recorded their largest monthly outflow on record in June, with assets under management falling 16% and holdings dropping by 17 tonnes. Stronger Chinese stock markets, a firmer yuan, and higher yields on other investments have reduced demand for Gold. At the same time, geopolitical tensions in the Middle East continue to support the US Dollar as a safe-haven asset. Concerns that higher oil prices could fuel inflation have increased expectations that the US Federal Reserve may keep interest rates higher for longer. This has strengthened the US Dollar and pushed 10-year Treasury yields higher. These factors are limiting Gold's upside and may even push the price even lower. Meanwhile, trading activity in the gold market has slowed. CME data shows futures and options volumes have eased, suggesting traders are waiting for a clearer catalyst before making larger moves. This may come from the Federal Reserve’s interest rate decision on Wednesday, 29 July Currently, only 29% of the market expects the Fed to increase interest rates. However, this is higher than the 12% seen last week. Also, less than 10% believe the Fed will not hike by the end of the year. This continues to be a pressure point for Gold. If the Fed does not hike but indicates a future hike, Gold may still witness renewed pressure. New Trump Tariffs Overnight, President Trump’s administration has introduced new 10%-12.5% tariffs on imports from 60 trading partners, citing concerns over forced labor in global supply chains. The move effectively rebuilds much of the US tariff wall after earlier tariffs were struck down by the Supreme Court. This time, Trump is using a different legal framework under the Trade Act of 1974, and forced labour as the pretext. The new duties are expected to increase trade tensions, raise import costs, and keep markets focused on the potential impact on inflation and global economic growth. In the past, tariffs have supported Gold as they also have this morning. However, this may not be the case if the Federal Reserve hikes interest rates. Gold - Technical Analysis HFM - Gold 2-Hour Chart The US Dollar Index is trading lower this morning, but remains above the main moving averages on the larger timeframes. On smaller timeframes, the price remains at a neutral level based on moving average and the Relative Strength Index. If the price of Gold rises above $4,058.00 and the US Dollar Index falls below 101.11, Gold may see a bullish signal arise from indicators and price action. However, this only applies in the short-term. Key Takeaway points: Gold remains under pressure from a stronger US dollar, higher Treasury yields, and expectations of higher interest rates. Chinese gold ETF demand weakened sharply, as investors shifted capital into equities and higher-yielding assets. Next week’s Federal Reserve meeting is crucial, with any hawkish signals likely to pressure gold further. Trump’s new tariffs and Middle East tensions support safe-haven demand, but a stronger dollar limits gold’s upside. 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.

EURUSD at a critical level as the market awaits the ECB’s decisive move The ECB left its interest rate unchanged at 2.4%, but this did not support the euro. The EURUSD rate currently stands at 1.1390. EURUSD forecast: key takeaways ECB interest rate decision: previously at 2.4%, currently at 2.4% The likelihood of an ECB rate hike in September has increased significantly EURUSD forecast for 24 July 2026: 1.1475 and 1.1370 Fundamental analysis The EURUSD forecast takes into account that the pair continues to correct after reaching new highs for the current month and is testing the 1.1380 level. The ECB kept its interest rate unchanged but did not rule out tighter monetary policy. The ECB July meeting was the key event for the euro. The regulator left its key interest rates unchanged, but ECB President Christine Lagarde said that rising energy prices had significantly increased the likelihood of a rate hike in September. The market is already pricing in a high probability of such a move. 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

Dogecoin (DOGEUSD) fears the future as tensions mount The Dogecoin price has paused at 0.0690 USD. Market sentiment has become more challenging. Technical outlook The hourly DOGEUSD chart maintains a pronounced downtrend following a sharp fall from the 0.0723–0.0730 area. The price is currently consolidating near 0.0691 at the lower Bollinger Band, indicating continued selling pressure, but also a slowing decline. The Dogecoin price declined, stabilised, and is now poised to react to news. 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

After a successful short term scalp, I'm taking a fresh look at MU from a swing perspective. The recent trendline breakout is an encouraging sign, and price is now trying to build a higher low structure above the demand zone. The next key level is 994. A strong close above that resistance could confirm continued bullish momentum and open the door toward 1096. From a fundamental perspective, Micron remains supported by long term AI infrastructure demand and continued investment in high bandwidth memory. While short term volatility is expected, the broader outlook still appears constructive. For now, my view is simple: Bullish above 994, invalidation Structure weakens below 934 Watching volume closely for confirmation before considering a new position As always, this is just my personal market analysis, not financial advice. I'd be interested to hear how others are reading the current MU setup.

lets wait and see

There is a help section on the website with my contact details. Feel free to drop me a line, I’ll be happy to walk you through everything and help you out.

Forex trading requires learning, practice, and understanding of market movements. While some people find it manageable with experience and a clear strategy, others may find it challenging. Success depends on knowledge, discipline, risk management, and market conditions. It is important to study and practice before trading with real money.

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Complaints on BestChange: how dispute resolution works If you encounter a problem during an exchange—for example, if funds are not delivered on time or the agreed terms are not fulfilled—you can submit a complaint on BestChange. This is a dedicated dispute resolution tool that involves both the exchanger's administration and the BestChange team. ● How to submit a complaint Go to the exchanger's profile page on BestChange.biz and click ‘Leave complaint.’ Be sure to read the Guidelines for creating a complaint above the form before you start filling it out. For example, complaints cannot be submitted if the exchanger's stated processing time has not yet expired. If your situation meets the criteria, select the exchange pair, enter your email address, provide the exchange order number, and describe how the exchanger failed to comply with its stated terms. You may also attach up to 10 screenshots as supporting evidence. After clicking ‘Create a complaint,’ you will receive an email containing a confirmation link. The complaint will not be published until it is confirmed. However, if you are logged into your BestChange account, no email confirmation is required. ● What happens next Once confirmed, the complaint becomes active. It is published in the exchanger's profile in the Complaints tab and becomes visible to the BestChange administration. Our moderators conduct an independent review of the situation and help establish communication with the exchanger to achieve a fair resolution. All communication between the user, the exchanger, and the BestChange moderation team is conducted through official channels and remains documented. ● How to track your complaint status All complaints are available in your personal account in the Complaints section and are divided into three tabs: All, Active, and De-escalated. When a complaint is resolved, it is de-escalated, and this information is also reflected in the exchanger's public profile. The ratio of active to de-escalated complaints can also help users assess how an exchanger handles disputes and customer issues. If you do not have an account on BestChange, status updates and notifications about new comments will be sent to the email address you provided.

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SuperEx Guide: Spot Market Trading Course（I） Starting today, we're launching a brand-new series focused on the spot trading market.This series will cover topics including common issues encountered during spot trading, technical analysis knowledge, SuperEx Free Market, AMM, and more.For our first lesson, we'll focus on some of the most common questions traders encounter in spot trading and provide clear answers. SuperEx Guide: Spot Market Trading FAQ What is Maker Maker: Refers to the order placed by the party who quotes first, that is, to set up an order first, limit its price and quantity, and wait for other users to make a deal with it. If there is no matching order in the market for the time being, then this order will always be hung on the exchange's order book to provide quotations for the entire market. What is Taker Taker: Refers to take the initiative to deal with the orders that have been placed, that is, to place a certain number of orders based on the existing order prices on the exchange order, and immediately execute the orders placed on the order. If the entrustment demand of the taker is large and the supply exceeds the demand, the unsatisfied demand will become a new entrustment order as a pending order and continue to wait for the transaction if the order is not cancelled. What Are Limit Orders Definition: A limit order specifies a price and quantity (the order enters the order book after placement). A limit order allows users to set the order quantity and the maximum acceptable purchase price or minimum acceptable selling price. When the market price meets the user's set conditions, the system will execute the order at the best price within the limit range. Example: If the current BTC market price is 53,000 USDT and you want to buy at a cheaper price of 52,900 USDT, you can place a limit order at 52,900. Once the market price drops to 52,900 USDT or lower, your order will be automatically executed. What Are Market Orders Definition: A market order buys or sells at the best available price in the market. A market order allows users to execute a trade immediately at the current best market price, ensuring fast transactions. Example: If the latest BTC price is 53,000 USDT and you want to buy BTC immediately at market price, you can place a market order and specify the total amount, such as 40 USDT. The order will be executed immediately. In a highly volatile market, the execution price may not be exactly 53,000 USDT—it could be higher or lower depending on real-time market fluctuations. Differences Between Limit Orders and Market Orders A limit order requires manual input of the desired transaction price, whereas a market order does not require a price and executes immediately at the current market rate. A single market order cannot exceed a total value of 100,000 USDT. If it does, the order will fail. Limit orders do not freeze trading fees before execution, while market orders will have trading fees temporarily frozen until the order is completed. What's Impermanent Loss Impermanent loss refers to the temporary loss incurred by liquidity providers (LPs) in an Automated Market Maker (AMM) environment due to market price fluctuations. When prices rise or fall, the value of assets obtained after withdrawing liquidity may be lower than the value of simply holding the assets. This loss occurs because of the constant product pricing mechanism of AMM. As prices revert, impermanent loss will gradually diminish. Example of Impermanent Loss Assume a liquidity pool contains 1,000 POL and 500 USDT, with a constant product of 1,000 * 500 = 500,000. Liquidity provider Lares holds 10% of the POL/USDT pool, or 100 POL and 50 USDT, where 1 POL = 0.5 USDT. Over time, the price of POL increases, changing the asset ratio to 500 POL and 1,000 USDT. The constant product (500 * 1,000 = 500,000) remains unchanged, and 1 POL = 2 USDT. Lares' share changes to 50 POL and 100 USDT. If Lares withdraws liquidity, they will receive 50 POL and 100 USDT, valued at 50 * 2 + 100 = 200 USDT. If Lares had held 100 POL and 50 USDT without providing liquidity, their assets would now be worth 100 * 2 + 50 = 250 USDT. The difference (50 USDT) represents impermanent loss. How to Mitigate Impermanent Loss Impermanent loss is common in early market-making or one-sided market trends. It can be mitigated over time as transaction fees accumulate and prices stabilize, eventually leading to realized market-making profits. What's TP/SL in Spot trading Stop-profit and stop-loss are a type of strategic commission. Users can pre-set the trigger price and order price. When the market price reaches the trigger price, the system will automatically place an order based on the order price. Users can use this order to buy at a low price or sell at a high price. The user's funds will not be frozen when placing a stop-profit and stop-loss order. When the trigger price is reached and the corresponding order is generated, the user's funds will be frozen. 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

SuperEx Educational Series: Understanding AI Oracle #SuperEx #EducationalSeries The term AI Oracle sounds like a cyber fortune teller living on-chain. User asks: “Does this address look like a bot?”，AI Oracle says: “Probably.” The contract nods: “Okay, blocked.”If that were the whole process, it would not be a smart contract. It would be a “trust-the-vibes contract.” A real AI Oracle is not about letting AI casually say something and having the contract blindly accept it. It asks: how does AI inference enter the blockchain? Who ran the model? What was the input? Was the output changed? Why should the contract trust it? In plain English: AI can be smart, but on-chain systems still need proof. What Is an AI Oracle? An AI Oracle is infrastructure that connects off-chain AI model capabilities to smart contracts. A normal oracle usually brings external data on-chain, such as prices, weather, sports results, or API data. An AI Oracle goes further: it may perform AI inference, including classification, scoring, prediction, recognition, generation, or strategy evaluation. For example: detect whether an address looks like a Sybil account; score the risk of an RWA asset; generate NPC behavior for an on-chain game; classify whether content violates rules; produce risk signals for a DeFi strategy; provide governance suggestions for a DAO. In one sentence: an AI Oracle is the translator, messenger, and quality checker between smart contracts and AI models. How Does It Work? The basic flow of an AI Oracle usually has five steps. First, a smart contract or user sends a request. For example: “Please check whether this address is eligible for this campaign.” Second, the AI Oracle takes the request off-chain. Most AI models are too heavy to run directly on-chain. Asking a contract to run a large model is like asking a rice cooker to run a AAA game. Please be reasonable. Third, off-chain nodes or an inference network run the model. They generate an output based on the specified input, model version, and rules. Fourth, the result is submitted back on-chain. The output may be a score, classification, text, hash, proof, or signature. Fifth, the smart contract verifies and uses the result. After validation, it may distribute rewards, reject a request, adjust limits, trigger liquidation, or update state. The key point is this: an AI Oracle should not merely “bring AI answers on-chain.” It must also solve the trust problem. Why It Matters Smart contracts are good at deterministic rules: “is the balance enough,” “is the signature valid,” “is the price below a threshold.” But they are not good at complex, fuzzy, unstructured judgments. AI is good at these tasks: images, text, behavior patterns, risk scoring, and strategy analysis. The problem is that AI usually runs off-chain, while smart contracts cannot naturally see it. The value of an AI Oracle is turning AI capability into a module that smart contracts can call. But this cannot be done casually. Once AI affects on-chain assets, it becomes serious. A wrong model output may distribute rewards incorrectly, block users unfairly, trigger bad liquidations, misprice assets, or create attack opportunities. So the real value of an AI Oracle is not just putting AI on-chain. It is putting AI outputs on-chain with a trust mechanism. Technical Approaches The first approach is a decentralized oracle network. Multiple nodes run or verify AI inference, then aggregate results on-chain. The advantage is avoiding trust in one provider. The challenge is that AI computation is expensive, and keeping node outputs consistent is not always easy. The second approach is Optimistic ML. ORA’s Onchain AI Oracle uses an opML approach: results are submitted first, then a challenge period allows others to dispute incorrect outputs with fraud proofs. This can fit larger models because it avoids generating expensive proofs for every inference. The third approach is zkML. The model runs off-chain while generating a zero-knowledge proof showing that the output came from the specified model and input. The verification is strong, but proof generation can be expensive, especially for large models. ZK is powerful, but it still needs computation. The fourth approach is TEE-based inference. The AI model runs inside a trusted execution environment, with hardware attestation proving the code and environment. This offers better performance for complex models, but introduces hardware trust and side-channel risks. The fifth approach is API plus signed submission. This is the simplest method: an AI provider runs the model, signs the result, and the contract verifies the signature. It is easy to build, but trust assumptions are heavy. In plain words, the official API decides. Fine for low-risk use cases, not ideal for large-value asset control. Difference from Normal Oracles A normal oracle usually answers: “What happened in the external world?” For example: what is the ETH price, what was the result of a match, or what did an API return? An AI Oracle is closer to answering: “According to the model, how should this situation be interpreted?” That makes things harder. Price data is usually structured, while AI outputs may be probabilities, scores, classifications, text, or strategy suggestions. There may not be one absolute answer. So AI Oracles face extra challenges: model version must be fixed; input data must be clear; output format must be standardized; inference should be verifiable; wrong results should be challengeable; model upgrades need governance. Normal oracles deliver data. AI Oracles deliver judgments. Once judgments go on-chain, the responsibility gets heavier. A Simple Case Suppose SuperEx wants to run a campaign: reward real active users, but filter out bot farms. If everything is reviewed manually, it is slow. If only simple rules are used, such as transaction count, wallet balance, or registration time, scripts can bypass them. So SuperEx wants to use an AI model to evaluate whether address behavior looks abnormal. Without an AI Oracle, the platform may run a model in the backend and tell the contract: “This address is eligible.” That is a black box. Users do not know the model version, and the contract cannot know whether the result was modified. With an AI Oracle, the flow becomes clearer: SuperEx submits a detection request; AI Oracle nodes run the specified model; the system generates a risk score plus proof or signature; the result is submitted on-chain; the contract verifies it and decides whether to distribute rewards. Users may not understand every model detail, but at least they can know this is not a random backend “approve/reject” button. There is a verifiable on-chain process. Common Misunderstandings First misunderstanding: an AI Oracle is just connecting ChatGPT to a contract.No. It can involve large language models, but it is not just a chatbot API. Its core job is delivering AI inference outputs to smart contracts in a trustworthy way. Second misunderstanding: AI Oracle outputs are always correct.Not necessarily. An oracle helps prove where the result came from, whether it was changed, and whether it is verifiable. It does not guarantee the model is always right. Models can be biased, overfit, trained on poor data, or poorly prompted. AI can fail too. Third misunderstanding: with AI Oracle, AI can automatically manage funds.Calm down. AI can assist decisions, but directly controlling funds, liquidations, bans, or governance votes requires strict permission boundaries, human fallback, and risk limits. Fourth misunderstanding: AI Oracle and zkML are the same thing.No. zkML is one technical approach for verifiable AI inference. AI Oracle is the infrastructure layer that brings AI outputs on-chain. It may use zkML, opML, TEEs, signed networks, or hybrid models. Risks and Limitations First is model trust. Who trained the model? Where did the data come from? Is the version fixed? Is it biased? Can it be audited? If the model itself is unreliable, the oracle may simply deliver unreliable results very reliably. Second is inference cost. AI inference is heavier than normal data queries. Large-model inference, proof generation, dispute mechanisms, and node verification all cost money. Who pays: users, protocols, projects, or DAOs? The bill needs a clear owner. Third is latency. Some use cases can wait, like campaign eligibility checks. Others cannot, like high-frequency risk control. If an AI Oracle is too slow, it becomes less “intelligent” and more “late.” Fourth is privacy. AI inputs may include user behavior, identity, transaction habits, or business data. Putting them directly on-chain is often a bad idea. Systems need encryption, data commitments, selective disclosure, TEEs, or ZK. Fifth is responsibility. If the AI Oracle provides a wrong result, who is responsible? Nodes? Model providers? Protocols? Apps? Users? Do not wait for an incident to start the meeting. The minutes will not be pretty. Conclusion The core value of an AI Oracle is connecting AI inference to smart contracts while making outputs as verifiable, auditable, challengeable, and usable as possible. It is not “AI decides everything.” It is “AI provides an output, and the chain has a reason to trust it.” Future AI in Web3 will not stay inside chat windows. It will enter risk control, identity, RWA valuation, on-chain games, automated governance, DeFi strategies, and agent execution. But the more it affects real assets, the less acceptable black boxes become. In plain words, an AI Oracle is not inviting AI on-chain as a guru. It is hiring AI to work on-chain, with records that can be checked, costs that can be explained, and mistakes that can be challenged.

How can developers make DeFi smart contracts more secure?

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USD/JPY breaks through a psychological level, hitting a new high not seen since 1986 The weakening of the Japanese Yen appears unstoppable, despite market caution regarding potential currency intervention as the JPY hovered around the key psychological level of 162.00. USD/JPY successfully broke through to a new high of 163.988, ending a consolidation phase at the previous peak. According to the FXOpen chart, the pair is currently forming a long-bodied bullish candle, with a low of 162.995, a high of 163.988, and a close at 163.858. The USD/JPY pair's breach of the 163.00 level—marking a multi-decade high not seen since 1986—was driven by macroeconomic factors, interest rate differentials, and global commodity prices. The interest rate gap between the Federal Reserve and the Bank of Japan (BoJ) remains wide, at approximately 250–275 basis points. This environment fuels "carry trades," where market participants borrow JPY to purchase higher-yielding, USD-denominated assets. Escalating tensions in the Middle East have driven up crude oil prices. Consequently, energy-importing nations like Japan face ballooning oil import bills, a widening trade deficit, and direct downward pressure on the Yen's exchange rate. Although the Yen is historically considered a safe-haven currency, the US Dollar is currently benefiting more from high US bond yields—a trend spurred by geopolitical crises. Japan's substantial fiscal spending plans, combined with the BoJ's cautious approach to raising interest rates, have led the market to perceive Japan's tightening measures as too slow to counteract depreciation pressures. The extreme depreciation of the JPY has triggered a surge in the prices of imported goods, particularly energy fuels and food. This has raised the cost of living for Japanese households and squeezed consumer purchasing power. The 163.00 level remains a "red zone" for potential intervention by Japanese authorities. When Japanese authorities intervene in the foreign exchange market, the market can experience sudden volatility and pullbacks. Domestic companies reliant on imported raw materials face shrinking profit margins. It is often difficult to fully pass on rising import costs to consumers without dampening demand. A prolonged depreciation of the yen could also force the Bank of Japan (BoJ) to raise benchmark interest rates or reduce bond purchases more aggressively than originally planned to stabilize the currency; this, in turn, could increase the burden of government bond yields. The projected fair value range for the USD/JPY pair today is 162.00–164.80. Immediate support is around 163.20, with the next target at 163.50. Immediate resistance is around 164.30, with the next target at 164.80. This forecast could be wrong.

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