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SuperEx Report: Private Wealth Management Monthly Report — July 2026 #SuperEx #Report In July 2026, the digital asset market gradually recovered from the strong risk-off sentiment experienced in June, but the rebound was uneven across different assets. Bitcoin started the month at approximately USD 60,003.76. During mid-to-late July, BTC briefly broke above USD 65,000, reaching USD 66,505.12 according to the CoinMarketCap historical snapshot on July 21. However, driven by profit-taking, fluctuations in ETF flows, uncertainty surrounding interest rates, and geopolitical risks, Bitcoin retreated to USD 62,813.75 by the end of the month. Based on the CMC snapshots at the beginning and end of July, BTC gained approximately 4.68% during the month, while the pullback from the monthly high to the month-end level was around 5.55%. Ethereum outperformed Bitcoin during the period. ETH opened July at USD 1,608.96 according to the July 1 CMC snapshot and closed the month at USD 1,860.35, representing a monthly increase of approximately 15.62%. This indicates that July was not simply a Bitcoin-led rebound. Instead, the market experienced a structural recovery after oversold conditions. Certain major assets such as ETH, BNB, and TRX outperformed, while high-volatility assets such as SOL remained under pressure. For private wealth clients, the key takeaway from July is that market risk appetite has improved, but a stable one-way upward trend has not yet been established. Bitcoin has demonstrated strong short-term support around USD 60,000, but the USD 65,000–66,500 range remains a critical confirmation zone. In terms of asset allocation, investors should continue prioritizing liquidity management, phased accumulation, reduced leverage, and separating idle capital from directional investment positions. Market Review The July market can be divided into three stages. Stage 1: Early-Month Recovery After the June correction, Bitcoin found buying support near the USD 60,000 level.On July 1, BTC’s CMC snapshot price was USD 60,003.76, while ETH stood at USD 1,608.96. Market sentiment remained cautious. At the same time: USDT market capitalization was approximately USD 184.471 billion; USDC market capitalization was approximately USD 73.180 billion. This showed that stablecoins remained the primary liquidity parking instrument for investors. Stage 2: Mid-Month Breakout As ETF flows improved from June’s outflow environment, Bitcoin rebounded above USD 65,000.According to CoinDesk reports, BTC reached approximately USD 65,500 around July 16. The CMC historical snapshot on July 21 further showed: BTC: USD 66,505.12 ETH: USD 1,928.38 This phase demonstrated that the market was not simply moving sideways in weakness, but experienced a clear recovery in risk appetite. Stage 3: Month-End Pullback From July 23 to July 24, BTC ETFs recorded consecutive net outflows, causing Bitcoin to retreat from above USD 66,000. The July 24 CMC snapshot showed BTC declining to USD 64,098.50.By July 31, BTC further declined to USD 62,813.75.Therefore, the accurate description of July’s Bitcoin performance is:“BTC broke above USD 65,000 but failed to maintain the breakout,”rather than:“BTC failed to break above USD 65,000.” Major Asset Performance Based on CoinMarketCap snapshots from July 1 to July 31: Overall, July was not a broad-based bull market, but rather:“Major asset recovery + divergence among high-volatility assets.” ETH’s relative strength reflected renewed capital allocation toward highly liquid major assets, while SOL’s decline showed that investors remained cautious toward high-beta assets. Institutional Capital & ETF Trends Bitcoin ETF flows improved significantly compared with June, but volatility remained high.According to TFTC data, U.S. spot Bitcoin ETFs recorded approximately USD 172.4 million in net inflows during July. Across 22 trading days: 13 days recorded net inflows; 9 days recorded net outflows. The largest single-day outflow occurred on July 13, reaching approximately:USD -424.7 million. Meanwhile: July 20: +USD 226.9 million inflow; July 21: +USD 203.1 million inflow; July 22: +USD 69 million inflow. These inflows supported BTC’s move above USD 65,000. However, outflows on: July 23; July 24; July 31; weakened the sustainability of the breakout. Ethereum ETF Flows Were More Stable Based on the daily total data published by Farside Investors, U.S. spot Ethereum ETFs recorded approximately:USD 347.4 million net inflows in July. Combined with ETH’s monthly gain of approximately 15.62%, this suggests that Ethereum’s performance was driven not only by oversold recovery, but also by renewed institutional allocation. This indicates that institutional investors have not completely exited digital assets. Instead, their approach has become: More price-sensitive; More timing-oriented; More focused on risk-return efficiency. When BTC trades at attractive valuation levels, ETF capital returns. However, when prices approach key resistance zones, profit-taking and investor hesitation increase rapidly. Macro & Policy Environment The macro environment remained complex throughout July.At its July meeting, the Federal Reserve kept the federal funds rate unchanged at:3.50%–3.75%. However, the meeting revealed significant internal disagreement.According to reports from Kiplinger and Barron’s, three FOMC members supported a 25 basis point rate hike, reflecting continued concerns surrounding: Inflation; Energy prices; Geopolitical risks. For digital assets, this means liquidity conditions have not yet meaningfully improved.July’s rebound was primarily a recovery after a sharp correction, rather than a trend reversal confirmed by a new easing cycle. If inflation data rises again or markets begin pricing a higher probability of a September rate hike, BTC and ETH may continue facing valuation pressure. Therefore, private wealth allocation should not focus only on price rebounds, but also monitor three key indicators: Whether ETF flows remain consistently positive; Whether BTC can stabilize above the USD 65,000–66,500 range; Whether Treasury yields and dollar liquidity conditions improve. Stablecoin & Capital Structure Stablecoin data did not indicate large-scale new capital entering the market.According to CMC snapshots: USDT market capitalization: July 1: approximately USD 184.471 billion July 31: approximately USD 183.271 billion Decline: approximately 0.65% USDC market capitalization: July 1: approximately USD 73.180 billion July 31: approximately USD 71.942 billion Decline: approximately 1.69% Combined USDT and USDC market capitalization slightly contracted.This contrasts with market price performance:BTC and ETH recovered, but stablecoin supply did not expand simultaneously. This suggests July’s rebound was primarily driven by:existing capital rotation rather than large-scale external capital inflows. For wealth management, this means investors should maintain flexibility and avoid interpreting a short-term rebound as a complete return of market liquidity. SuperEx Secondary Market & Product Observation According to publicly available CoinMarketCap data for SuperEx as of August 4, 2026:SuperEx 24-hour spot trading volume: approximately USD 1.03 billion and Equivalent to approximately 16,202 BTC SuperEx Earn The Fixed Deposit product delivered an annualized yield of up to 9%, more than 2.2× higher than the approximately 4% annual interest rate offered by U.S. bank time deposits during the same period. The 7-Day Fixed Deposit product offered an annualized yield of 3%, outperforming both Bitcoin’s June return of -0.14% and the 3.938% annual yield on U.S. Treasury securities, demonstrating strong short-term performance. SuperEx Quantitative Fund Daily Profit | USDT Quantitative Fund achieved an estimated 30-day APR of up to 10.83%. Quarterly Profit | USDT Quantitative Fund delivered an estimated quarterly APR of up to 17.11%, significantly outperforming comparable market products. These products can serve as yield-enhancement tools for idle USDT holdings, but should not be treated as equivalent to directional assets such as BTC or ETH. Their core value lies in: Reducing portfolio volatility; Improving capital efficiency; Enhancing idle asset utilization. SuperEx Private Wealth View For August, SuperEx Private Wealth maintains a stance of:“Cautious but constructive.” Bitcoin has demonstrated strong support around USD 60,000 during July.However, sustained capital confirmation is still required above the USD 65,000–66,500 resistance zone.If BTC successfully reclaims and maintains above USD 66,500, the market may further challenge: USD 68,000; Higher resistance levels. If BTC falls below: USD 62,000; USD 60,000; the July rebound may be interpreted as a technical recovery rather than a trend reversal. Ethereum’s relative strength deserves attention.If ETH ETF inflows continue, ETH/BTC may experience further recovery, potentially supporting: Layer 2 ecosystems; Staking-related assets; RWA infrastructure; Stablecoin-related projects. However, until macro interest-rate direction becomes clearer, high-beta altcoins should remain underweight with strict selection criteria. Stablecoins, RWA, compliant payments, blockchain settlement, and institutional custody remain long-term strategic themes. Rather than chasing short-term narratives, private wealth clients should consider building a portfolio structure based on:Core Assets + Yield Assets + Opportunity Assets Including: BTC and ETH as core liquidity assets; USDT wealth products and quantitative strategies as yield enhancement tools; A limited allocation to high-conviction thematic assets. Key Focus Areas for August BTC Key resistance:USD 65,000–66,500 Key support:USD 62,000 and USD 60,000 ETH Increase attention toward ETH performance, especially whether ETF inflows continue. Stablecoin Reserves Maintain sufficient stablecoin liquidity.Investors should consider that the Fed’s September policy direction remains uncertain. Idle capital may be allocated toward SuperEx Earn or quantitative products for yield enhancement, but investors should clearly distinguish between: Stable yield-generating tools Directional trading positions Risk Disclosure This report is intended solely for market research and informational purposes. It does not constitute investment advice, financial advice, or any solicitation to buy or sell digital assets. Digital assets are highly volatile and investors may experience loss of principal. Historical or projected returns from wealth management products, quantitative strategies, and other yield-generating products do not represent future performance. Actual returns, subscription, redemption, and risk rules are subject to the latest information displayed on the SuperEx platform and the applicable product terms. 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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USDJPY Technical Analysis – 03 Aug, 2026 USDJPY - At the FXOpen chart, USDJPY registered a low of 155.36 on August 3, 2026 At the FXOpen chart, USDJPY registered a low of 155.36 on August 3, 2026, reflecting a corrective pullback after failing to sustain above the 156.20 resistance zone. The decline highlights yen demand amid safe haven flows, while dollar momentum softened following recent highs. Technically, the break below 155.60 confirms short term bearish bias, with RSI sliding toward 40 and MACD crossing into negative territory. Immediate support is located at 155.10, while resistance remains capped at 156.00. Sustained weakness below 155.30 could expose the pair to further downside toward 154.80, keeping the broader outlook cautious unless buyers reclaim control above 156.10. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

USDJPY Technical Analysis – 03 Aug, 2026 USDJPY - At the FXOpen chart, USDJPY registered a low of 155.36 on August 3, 2026 At the FXOpen chart, USDJPY registered a low of 155.36 on August 3, 2026, reflecting a corrective pullback after failing to sustain above the 156.20 resistance zone. The decline highlights yen demand amid safe haven flows, while dollar momentum softened following recent highs. Technically, the break below 155.60 confirms short term bearish bias, with RSI sliding toward 40 and MACD crossing into negative territory. Immediate support is located at 155.10, while resistance remains capped at 156.00. Sustained weakness below 155.30 could expose the pair to further downside toward 154.80, keeping the broader outlook cautious unless buyers reclaim control above 156.10. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

SuperEx Educational Series: Understanding Proof of Compute #SuperEx #EducationalSeries When people talk about AI + Web3, the mood gets exciting fast: decentralized GPUs, on-chain AI, autonomous agents, verifiable inference, open compute markets. Sounds powerful. But in real deployment, one very basic question appears: you said you ran the computation, but how do I know you actually did? It is like a delivery platform. The merchant cannot simply say “I made the meal.” The system needs orders, delivery traces, arrival records, and user confirmation. A compute marketplace is the same. A provider cannot just say, “trust me, the GPU worked perfectly.” In plain English: “trust me bro” is not a settlement system. Proof of Compute solves the trust problem inside compute networks. What Is Proof of Compute? Proof of Compute is a proof mechanism used to show that a node truly provided compute, executed a task, or kept computing resources available during a certain period. But one thing must be clear: Proof of Compute is not one universal standard, and different projects implement it differently. It is more like a technical category that may include benchmarking, task replication, TEE remote attestation, ZK verifiable computation, execution logs, resource monitoring, challenge mechanisms, and reputation systems. It may prove several different things. First, “I have compute.” Second, “I reserved compute for you.” Third, “I executed the specified task.” Fourth, “The result was not tampered with.” Fifth, “The workload ran in the expected environment.” In one sentence: Proof of Compute is the trust receipt layer of the compute economy. Concept Interpretation Why do we need Proof of Compute? Because compute is invisible. When you buy an NFT, at least you can see the token on-chain. When you transfer funds, there is an on-chain transaction record. But renting GPUs, running inference, training models, generating ZK proofs, or executing off-chain risk checks all happen off-chain. A smart contract does not naturally know whether the machine actually worked. That creates three core problems. First, resource authenticity. A provider may claim to have eight high-end GPUs, but actually provide weaker machines, shared resources, or exaggerated capacity. Sounds ridiculous, but whenever rewards exist, someone will try to game the rules. Second, execution authenticity. Did the node really run the task? Did it stop halfway? Did it secretly use the resources for another job? Did it return cached results to fool the system? Third, result correctness. Even if the task ran, was the result correct? Was the model version changed? Were the inputs altered? Was the runtime environment consistent? For AI inference, this becomes harder because many outputs are not fully deterministic in the traditional sense. So Proof of Compute is not a simple checkbox. It is a proof system around resources, execution, results, and environment. How Does It Work? A mature Proof of Compute flow usually starts with task definition. First, a job manifest is created. It specifies code hash, model hash, input data commitment, container image, resource requirements, time limit, output format, and verification rules. Without a manifest, everyone can argue about what was actually supposed to run. Second, a provider is selected. The marketplace matches nodes based on price, GPU type, location, latency, reputation, availability, and security capabilities. High-value jobs may also require deposits, SLAs, or permission proofs. Third, the job is executed. It may run in a container, virtual machine, Kubernetes cluster, Ray cluster, TEE environment, or specialized AI inference framework. Fourth, proofs are generated. These may include execution logs, resource monitoring data, output hashes, TEE attestation quotes, ZK receipts, replicated results, validator signatures, or a combination of them. Fifth, verification happens. Validators, smart contracts, arbitration networks, or client systems check whether the proofs are valid. If they pass, settlement proceeds. If they fail, the system may trigger refunds, slashing, reputation penalties, or rescheduling. Technical Approaches The first approach is benchmarking and resource challenges. The system periodically sends compute challenges to verify whether CPU/GPU resources are real and perform as claimed. io.net documents regular Proof-of-Work checks for device authenticity and performance validation. This is useful for proving that machines exist and roughly match claimed capacity, but it does not fully prove that a specific business task was correctly executed. It is like a health check: useful, but not proof that a specific job was completed. The second approach is replicated execution and cross-checking. The same task is given to multiple nodes, and matching results increase confidence. In distributed compute networks like Golem, requestors and providers coordinate through tasks, agreements, activities, and payment flows, which naturally supports replication and verification logic. This method is straightforward, but it increases cost. If a task must run three times to be verified, security improves, but the budget becomes quiet. The third approach is TEE remote attestation. A Trusted Execution Environment lets code run in hardware-isolated environments and generate remote attestation, proving that specific code ran inside a genuine TEE with expected configuration. Phala’s documentation emphasizes remote attestation for verifying that applications run in real TEEs with expected setup. TEE has relatively friendly performance and is suitable for private computation, AI inference, API services, and sensitive workloads. But it has trust assumptions: hardware vendors, firmware, security boundaries, and attestation chains. Not magic, not invincible. The fourth approach is ZK verifiable computation. zkVM projects such as RISC Zero allow a program output to be paired with a cryptographic receipt, so a third party can verify that the output was produced by a specific algorithm without rerunning the original computation. ZK has strong mathematical assurance and works well for deterministic computation, compliance proofs, off-chain execution with on-chain verification, and ZK coprocessors. The difficulty lies in cost, complexity, and applicability. Fully proving large AI inference with ZK is still heavy. Saying “just use ZK” is not a product plan. The fifth approach is optimistic verification. The system accepts or provisionally settles results first, but keeps a challenge window. If someone detects an invalid result, they can submit evidence. This balances performance and security and can work for high-throughput workloads. Why It Matters Proof of Compute matters because many future systems will depend on off-chain compute. DeFi risk control needs off-chain models. AI agents need continuous inference. RWA systems need real-world data processing. Cross-chain systems need message verification. ZK rollups need proof generation. Data marketplaces need privacy-preserving computation. None of these can be fully handled by on-chain execution alone. Without Proof of Compute, off-chain compute becomes a black box. Users do not know where money went. Protocols do not know who deserves rewards. Smart contracts do not know whether results are trustworthy. Agents may continue acting based on wrong outputs. That is not an intelligent economy; that is automated failure. The value of Proof of Compute is turning invisible service into auditable work. A Simple Case Suppose SuperEx deploys an AI risk-control agent that monitors abnormal transactions, identifies risky addresses, and automatically adjusts risk parameters during extreme market conditions. This agent needs external compute for model inference. If a compute provider returns wrong results, uses an old model, uses a weaker model, or simply returns cached outputs, the consequences can be serious. With Proof of Compute, each inference can be tied to a job manifest: model version, input hash, runtime environment, timestamp, and output hash. High-risk tasks may require TEE execution with remote attestation. More critical decisions can be replicated across multiple nodes or use ZK receipts to prove that specific deterministic logic was executed. In this model, SuperEx is not merely “calling an API.” It receives a traceable, verifiable, and settleable compute receipt. That is the real business value of Proof of Compute: not showing off technology, but making automated systems usable, auditable, and accountable. Common Misunderstandings The first misunderstanding: Proof of Compute equals Proof of Work.Not the same. Proof of Work mainly secures consensus through computational puzzles. Proof of Compute focuses more on useful computation: whether a task was executed, whether resources were available, and whether results are trustworthy. The second misunderstanding: logs equal proof.Logs are useful, but they can be incomplete, tampered with, or merely describe what the system claims happened. Real proof needs signatures, hashes, remote attestation, replication, ZK proofs, or a trusted audit chain. The third misunderstanding: TEE solves everything.A TEE can prove runtime environment and code measurements, but it does not automatically prove that business logic is correct or eliminate hardware trust and side-channel risks. A TEE is a tool, not an all-purpose shield. The fourth misunderstanding: ZK proofs are strongest, so everything should use ZK.Beautiful in theory, expensive in reality. ZK is excellent for some tasks, but fully proving large AI training or complex inference can be too costly. Engineering is not a fantasy where the strongest solution fits everything. Risks and Limitations The first limitation is proof cost. Stronger proof is usually more expensive. Replication consumes extra compute, ZK proof generation adds overhead, and TEEs require specialized hardware and attestation chains. The second limitation is non-determinism. Many AI outputs depend on sampling parameters, random seeds, model versions, and runtime environments. To prove AI inference, systems must control model hash, input, parameters, random seed, and environment; otherwise verification becomes messy. The third risk is off-chain execution. Even if on-chain contracts are well designed, the actual computation happens off-chain. Gateways, containers, drivers, node software, and monitoring systems can all fail. The fourth risk is economic attack. Whenever rewards exist, participants may exaggerate resources, farm tasks, collude on verification, attack challenge windows, or create fake demand. Proof of Compute must be combined with deposits, penalties, reputation, and random audits. The fifth limitation is lack of standardization. Different projects define Proof of Compute differently. A proof format from one network may not be accepted by another. Without more unified standards for receipts, attestation, and verification, composability will remain limited. Conclusion The core value of Proof of Compute is adding a trust layer to off-chain compute. It is not one single technology or the exclusive concept of one project. It is a proof system around resource authenticity, execution authenticity, result correctness, and trusted environments. In the future of AI + Web3, Compute Marketplaces match compute, Data Marketplaces provide data, agents execute tasks, and Proof of Compute answers the most important question: did this computation really happen, and why should we trust the result? In plain words: without Proof of Compute, the compute economy becomes “I said I did it.” With Proof of Compute, it becomes “I did it, and you can verify it.” This may not sound flashy, but it is a necessary foundation for a mature automated economy.

USDCHF Technical Analysis – 03 Aug, 2026 USDCHF – At the FXOpen chart, USDCHF surged to a high of 0.8115 on August 3, 2026 At the FXOpen chart, USDCHF surged to a high of 0.8115 on August 3, 2026, extending its bullish trajectory after consolidating above the 0.8060 support zone. The move reflects sustained dollar strength against the franc, supported by firm U.S. yields and cautious European sentiment. Technically, the breakout above 0.8090 confirms upward bias, with RSI holding near 65 and MACD maintaining a positive alignment. Immediate resistance is seen at 0.8140, while support rests at 0.8075. Sustained trading above 0.8100 could open the path toward 0.8170, though overbought signals suggest potential consolidation if buyers lose momentum. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

USDCHF Technical Analysis – 03 Aug, 2026 USDCHF – At the FXOpen chart, USDCHF surged to a high of 0.8115 on August 3, 2026 At the FXOpen chart, USDCHF surged to a high of 0.8115 on August 3, 2026, extending its bullish trajectory after consolidating above the 0.8060 support zone. The move reflects sustained dollar strength against the franc, supported by firm U.S. yields and cautious European sentiment. Technically, the breakout above 0.8090 confirms upward bias, with RSI holding near 65 and MACD maintaining a positive alignment. Immediate resistance is seen at 0.8140, while support rests at 0.8075. Sustained trading above 0.8100 could open the path toward 0.8170, though overbought signals suggest potential consolidation if buyers lose momentum. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

USDCAD Technical Analysis – 03 Aug, 2026 USDCAD – At the FXOpen chart, USDCAD climbed to a high of 1.4053 on August 3, 2026 At the FXOpen chart, USDCAD climbed to a high of 1.4053 on August 3, 2026, extending its bullish momentum after consolidating above the 1.3980 support zone. The rally reflects sustained dollar strength against the Canadian dollar, driven by weaker crude oil prices and cautious sentiment in commodity markets. Technically, the breakout above 1.4025 confirms upward bias, with RSI holding near 65 and MACD showing a strong positive crossover. Immediate resistance is seen at 1.4075, while support rests at 1.4000. Sustained trading above 1.4040 could open the path toward 1.4100, though overbought signals suggest potential consolidation ahead. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

USDCAD Technical Analysis – 03 Aug, 2026 USDCAD – At the FXOpen chart, USDCAD climbed to a high of 1.4053 on August 3, 2026 At the FXOpen chart, USDCAD climbed to a high of 1.4053 on August 3, 2026, extending its bullish momentum after consolidating above the 1.3980 support zone. The rally reflects sustained dollar strength against the Canadian dollar, driven by weaker crude oil prices and cautious sentiment in commodity markets. Technically, the breakout above 1.4025 confirms upward bias, with RSI holding near 65 and MACD showing a strong positive crossover. Immediate resistance is seen at 1.4075, while support rests at 1.4000. Sustained trading above 1.4040 could open the path toward 1.4100, though overbought signals suggest potential consolidation ahead. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

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NZDUSD Technical Analysis – 03 Aug, 2026 NZDUSD – At the FXOpen chart, NZDUSD advanced to a high of 0.5908 on August 3, 2026 At the FXOpen chart, NZDUSD advanced to a high of 0.5908 on August 3, 2026, extending its recovery momentum after stabilizing above the 0.5860 support zone. The move reflects kiwi strength amid improved risk sentiment and softer U.S. dollar dynamics. Technically, the breakout above 0.5890 confirms bullish bias, with RSI climbing toward 60 and MACD maintaining a positive crossover. Immediate resistance is seen at 0.5925, while support rests at 0.5875. Sustained trading above 0.5900 could open the path toward 0.5950, though caution is warranted as momentum indicators suggest potential consolidation if buyers lose traction near higher levels. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

NZDUSD Technical Analysis – 03 Aug, 2026 NZDUSD – At the FXOpen chart, NZDUSD advanced to a high of 0.5908 on August 3, 2026 At the FXOpen chart, NZDUSD advanced to a high of 0.5908 on August 3, 2026, extending its recovery momentum after stabilizing above the 0.5860 support zone. The move reflects kiwi strength amid improved risk sentiment and softer U.S. dollar dynamics. Technically, the breakout above 0.5890 confirms bullish bias, with RSI climbing toward 60 and MACD maintaining a positive crossover. Immediate resistance is seen at 0.5925, while support rests at 0.5875. Sustained trading above 0.5900 could open the path toward 0.5950, though caution is warranted as momentum indicators suggest potential consolidation if buyers lose traction near higher levels. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

GBPUSD Technical Analysis – 03 Aug, 2026 GBPUSD – At the FXOpen chart, GBPUSD surged to a high of 1.3505 on August 3, 2026 At the FXOpen chart, GBPUSD surged to a high of 1.3505 on August 3, 2026, extending its bullish momentum after consolidating above the 1.3440 support zone. The rally reflects sterling strength amid improved domestic sentiment and softer dollar dynamics. Technically, the breakout above 1.3480 confirms upward bias, with RSI climbing toward 70 and MACD maintaining a strong positive crossover. Immediate resistance is seen at 1.3525, while support rests at 1.3460. Sustained trading above 1.3490 could open the path toward 1.3550, though overbought conditions suggest caution as profit taking may emerge near higher levels. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

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GBPJPY Technical Analysis – 03 Aug, 2026 GBPJPY – At the FXOpen chart, GBPJPY registered a low of 209.75 on August 3, 2026 At the FXOpen chart, GBPJPY registered a low of 209.75 on August 3, 2026, reflecting a sharp corrective move after failing to sustain above the 211.00 resistance zone. The decline underscores yen demand amid risk aversion, while sterling momentum weakened following recent highs. Technically, the break below 210.20 confirms bearish bias, with RSI sliding toward 35 and MACD crossing into negative territory. Immediate support lies at 209.40, while resistance is capped at 210.60. Sustained weakness below 209.70 could expose the pair to further downside toward 208.90, keeping the broader outlook cautious unless buyers reclaim control above 210.80. #fxopen #forex #forexanalysis Disclaimer: This analysis represents my own opinion only. It is not to be construed as an opinion, offer, solicitation, recommendation, or financial advice of the Companies operating under the FXOpen brand.

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