Bitcoin is holding just under $78,000 as August closes. The dollar strength that pushed the yen past its intervention line is the same force capping crypto.

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Your look at what’s coming in the week starting Aug. 31.

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Amid recent discussions in the crypto space, HTX has drawn significant attention.

Like many other exchanges, regulatory scrutiny has become subjects of discussion on this exchange.

However, activity on the HTX platform presents a contrasting picture.

The HTX 13th Anniversary Carnival is now well into its second half, with more than 120,000 rewards already distributed.

Every day, users set their alarms for 13:13 (UTC+8) to make sure they don’t miss the anniversary red packets. Some are lighting up 9, 11, or 13 Future Gems to unlock rewards, while others have already received their $HTX rewards and shared their wins on social media.

The market has also begun to warm up. Amid price movements in major assets such as BTC, trading activity across both spot and futures markets on the platform has surged.

Furthermore, the 13th Anniversary celebration extends far beyond a single Carnival Month.

Futures traders can participate in the HTX Trading Championship, spot traders can join the Spot Trading Carnival, and users seeking yield opportunities can take part in the HTX Earn Bonanza. In addition, a series of campaigns focused on $HTX, referrals, P2P, and margin trading are being launched in rapid succession.

For users, one way to assess whether an anniversary event is truly engaging is to look beyond its headline prize pool.

Prize pool figures may attract attention, but actual reward distribution is a much more direct measure of the true user experience.

To date, more than 120,000 rewards have been distributed to users.

The anniversary celebration has only just passed its midpoint.

01 | How Are 120,000 Rewards Being Distributed?

For its 13th anniversary, HTX designed a distinctly crypto-native interactive framework.

Thirteen Future Gems correspond to 13 specific tasks.

Rather than forcing users to complete every challenge at once, they can progress step by step, starting with the simplest tasks.

Posting a 13th Anniversary wish, completing a Learn & Earn quiz, and purchasing 50 USDT worth of $HTX are among the early-stage milestones. As users progress, the tasks gradually extend into core areas such as spot and futures trading, Earn, fiat deposits, margin trading, and TradFi.

The second half of the progression introduces higher-tier incentives.

At 9 Gems, you can start drawing rewards and receive up to 130 USDT worth of $HTX. At 11 Gems, you can claim an anniversary red packet every day at 13:13 (UTC+8). Light up all 13 Gems for a chance to win up to 1,300 USDT worth of $HTX and unlock the grand prize.

02 | A Particular 13th Anniversary Period

HTX’s 13th anniversary coincides with a notable period of market and operational backdrop.

There’s a lot of noise in the industry.

Like many other exchanges, HTX is subject to public discussion and scrutiny regarding issues such as regulation and compliance. However, beyond social media commentary, underlying operational metrics provide a far clearer view of the platform’s performance.

According to recent operational statistics disclosed by HTX, the daily average number of deposit and withdrawal orders has remained at tens of thousands since August 23. HTX stated that core services, including spot, futures, deposits, and withdrawals, continue to operate normally.

In addressing market questions, HTX has maintained open communication regarding its operations and platform stability while encouraging continued public observation. Thus far, these external developments have not interrupted the platform’s operations. User trading activity, capital flows, and anniversary events have continued during this period. These operational indicators provide a more concrete basis for assessing the platform.

03｜For an Exchange, Money Is More Honest Than a Tweet

A week ago, Justin Sun, Advisor to HTX, responded to external inquiries with a concise statement:

“Everything is fine.”

This is very much in line with his style of expression.

However, whether an exchange holding user assets is genuinely operating normally cannot be determined by a single tweet alone.

Money is more honest than a tweet. Operational data provides a more substantive basis for assessment than statements alone.

Key operational metrics provide a more substantive view: whether deposits and withdrawals proceed smoothly; whether trading activity and liquidity remain stable; and whether platform infrastructure can support increased trading volume when market opportunities emerge. These are the core indicators of an exchange’s operational resilience.

Against this backdrop, the theme of HTX’s 13th anniversary—”Resilience Reveals the Future”—takes on greater significance.

Without recent events, “resilience” might have been nothing more than an anniversary tagline.

Industry narratives frequently reference 13 years of experience, multiple bull and bear cycles, the ability to weather market cycles, and a long-term approach.

Yet operational resilience for an exchange relies on clear fundamentals.

Operational resilience means keeping systems stable during periods of high market volatility, maintaining seamless deposit and withdrawal processing amid external turbulence, addressing issues promptly as they arise, and maintaining system capacity as market volumes recover.

True resilience is not the absence of problems, but the ability to maintain momentum when problems arise.

Routine deposit and withdrawal processing, together with the distribution of 120,000 rewards, does not imply the absence of operational risk, nor does it replace long-term regulatory resolution.

HTX still needs to address the relevant issues and consistently provide verifiable data to users and market participants.

Resilience can help a company navigate periods of uncertainty, but it should not substitute for addressing underlying issues.

At least for now, these external developments have not interrupted the platform’s operations.

The post Navigating the Noise: HTX Turns 13 with Resilience in Action appeared first on BeInCrypto.

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XRP has seen a notable improvement in its risk-adjusted returns. The Ripple token’s Sharpe Ratio on Binance has now reached its highest level since August 2025.

The indicator is currently stabilizing at around 0.207, according to CryptoQuant, while the price hovers close to $1.40.

Risk-Reward Profile

Over the past few months, XRP’s Sharpe Ratio stayed around negative or neutral levels and fell significantly during the crypto asset’s broader price decline. The recent increase suggests that returns have improved relative to the amount of volatility investors are facing.

The sharp rise in the Sharpe Ratio also occurred alongside the recovery in XRP’s price, which is up by almost 30% over the past month. This indicates that the recent move was accompanied by stronger risk-adjusted performance rather than being only an isolated price increase, CryptoQuant explained.

However, the indicator’s move to its highest level in a year does not confirm that XRP has entered a steady uptrend. The Sharpe Ratio could reverse quickly if market volatility rises or the token undergoes a significant correction.

Zooming out, institutional demand for XRP-linked investment products was also hard to miss. Last week, US-based spot ETFs pulled in $110.49 million in five days.

CryptoPotato reported that it was the first weekly inflow above $110 million since early December 2025. All five sessions ended in positive territory, and each attracted more than $10 million. Monday saw $13.82 million come in, followed by $23.87 million on Tuesday. Wednesday led the week with $28.14 million, the funds’ strongest single-day showing since January 5.

Another $18.47 million arrived on Thursday, while Friday brought $26.2 million. The latest figures pushed total net inflows across the five ETFs to a record $1.66 billion. Bitwise remains ahead of the other issuers; its ETF now holds slightly more than $600 million in cumulative inflows.

What’s Next?

Regardless of how promising XRP’s setup may appear, a move toward $1.80 or $2 could remain out of reach until the token reclaims $1.54, according to crypto analyst ChartNerd. That level represents both a six-month resistance wall and the weekly 50 EMA. He further explained,

“Just to be clear, and to reaffirm. I am not suggesting XRP can’t push up towards $1.80/$2. I am suggesting we are under resistance, and if we do get the follow through, it will likely open up an even deeper retrace than what we would witness rejecting the weekly 50 EMA at $1.54.”

The post Ripple’s (XRP) Sharpe Ratio Just Did Something It Hasn’t Done In a Year appeared first on CryptoPotato.

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Alphabet just had a genuinely turbulent month, and the whiplash tells its own story. Despite beating earnings expectations with profits of $9.11 per share, roughly triple what analysts had forecast, the stock actually sold off in the days following the report, weighed down by mounting concerns over AI spending. That mood shifted decisively on Monday, when shares jumped over 5% after Morgan Stanley reassured investors, highlighting Alphabet’s still-robust $53.3 billion in free cash flow over the past twelve months, even as cloud capital expenditure could exceed $1.2 trillion in 2027.

The underlying business remains genuinely strong: Google Cloud revenue surged 82% year-over-year to $24.8 billion in Q2, and the company has been actively defending its position, launching more budget-friendly AI pricing to compete directly with rivals. That said, not everything has gone smoothly. Alphabet agreed to pay £260 million to settle a UK class-action lawsuit this week, and a leadership shakeup within its AI division, including the departure of key figures, has added a layer of organizational uncertainty investors are still digesting.

The result: a company delivering genuinely impressive growth, but one whose massive AI bet keeps testing investors’ patience with every headline.

Technical Analysis of Alphabet (GOOGL)

As the GOOGL chart shows, the stock has been compressing into a symmetrical triangle since April, with a descending trendline from the 400 highs converging with an ascending trendline off the 269 low, both meeting right at the current price near 340–346, exactly where the 0.5 Fibonacci retracement and the 200-period EMA also sit.

Bullish Scenario

Should buyers defend this trendline-EMA confluence and break decisively above the descending trendline, the path would open toward the 0.382 retracement near 356.79, with a stronger move potentially targeting the 0 level at 382.88, the origin of the entire pullback.

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Bearish Scenario

Conversely, a break below the ascending trendline and the 0.618 retracement near 340.66 would expose the 0.786 level near 329.19, with a deeper slide risking a retest of the 314.57 low that anchored this five-month structure.

With price coiled right at the apex of this triangle, sitting exactly on the 200-period EMA, Alphabet’s next move looks set to be decisive. Will the AI spending story finally translate into a genuine breakout, or does the stock settle back into its earlier range?

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This article represents the opinion of the Companies operating under the FXOpen brand only. 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.

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Elon Musk expects artificial intelligence to beat humans at hacking by the end of 2027. He put AI hacking first among the digital tasks machines will dominate.

The forecast followed a fresh security scare. The software company JFrog disclosed a critical flaw in Artifactory, the package registry that many software teams use to store and distribute code.

The Flaw That Reopened the AI Hacking Debate

JFrog published CVE-2026-82329 on August 28. The vulnerability scores 9.8 out of 10 on the standard scale. The company has since shipped patched builds.

Attackers need no password and no user interaction. Default configurations sit exposed. Because Artifactory holds build files, a single break can poison everything downstream. Such supply chain attacks spread through trusted downloads rather than direct break-ins.

Vercel Chief Executive Guillermo Rauch speculated that autonomous agents found and exploited the bug. The public record says otherwise.

OpenAI models discovered nine Artifactory zero-days during a July evaluation. JFrog patched those in version 7.161.15. The new flaw still affects later builds, so the two sets look separate. The July episode joined other cases of AI models breaching systems.

Musk Puts a Deadline on Machine Superiority

Rauch argued that 2026 keeps erasing the things AI supposedly cannot do. Musk agreed and went further.

Musk also credited Google co-founder Larry Page, who warned him a decade ago that AI hacking would outclass human experts. Musk has sharpened his AI growth predictions repeatedly this year.

Vercel Chief Technology Officer Malte Ubl reported a similar result. An open-weight model he tested wrote its own fuzzer while probing the company’s sandbox. Fuzzers hunt software bugs by flooding a program with malformed input.

Rauch draws a blunt conclusion for customers.

Our guidance for this new world: assume everything hackable will get hacked. And it will get hacked autonomously. You must also defend yourself autonomously, because your surface of attack is likely bigger and your code more vulnerable than you expect.

Guillermo Rauch, X

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Coinbase CEO Brian Armstrong expects a rogue AI event within two years. Separately, OpenAI already ships a cyber-focused defense model to approved defenders.

Liability still lags the technology, however, and accountability for AI agents remains unsettled. Musk’s deadline leaves security teams roughly 16 months. The harder question is whether defenses scale as fast as AI hacking.

The post Elon Musk Warns AI Hacking Will Go Superhuman by End of 2027 appeared first on BeInCrypto.

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GCSA Agent demonstrates autonomous vulnerability analysis and PoC generation capabilities on a highly challenging real-world vulnerability benchmark

The Global Cybersecurity Alliance (GCSA) today announced that GCSA Agent achieved a 91.3% success rate on the CyberGym benchmark, placing it within CyberGym’s “Leading Systems Above 90%” category.

CyberGym is a large-scale, real-world cybersecurity evaluation framework developed by a research team at the University of California, Berkeley. It contains 1,507 historical real-world vulnerability test cases across 188 major software projects and is designed to evaluate the practical capabilities of AI agents in real-world vulnerability analysis scenarios.

Unlike traditional AI benchmarks that primarily assess code understanding, knowledge-based question answering, or static analysis, CyberGym requires AI agents to work directly within real-world vulnerable code environments.

In its core Level 1 evaluation, an AI agent is provided only with a vulnerability description and an unpatched code repository. It must then autonomously perform code analysis, locate the vulnerability, reason about potential attack paths, construct a PoC, and execute it for validation. A task is considered successful only if the generated PoC successfully triggers the target vulnerability in the vulnerable version while failing to reproduce the issue in the patched version.

CyberGym therefore measures more than whether an AI system can simply “understand code.” It evaluates whether the AI can complete the full process from security analysis to vulnerability reproduction and validation.

From Large Language Models to Security Agents

In this CyberGym evaluation, GCSA Agent operated on Grok 4.5 and Grok 4.6 models and achieved a final success rate of 91.3%.

The result also reflects an important shift taking place in AI cybersecurity:

The underlying large language model alone no longer determines the system’s ultimate security capabilities.

Real-world vulnerability research typically requires a continuous sequence of tasks, including understanding vulnerability descriptions, searching large codebases, identifying attack surfaces, formulating vulnerability hypotheses, generating test inputs, executing programs, analyzing feedback, and repeatedly iterating on PoCs.

GCSA Agent is built around an agentic security workflow designed to support this end-to-end process.

Its objective is not simply to use a large language model for code analysis, but to enable AI to operate within real execution environments, autonomously formulate hypotheses around security issues, collect runtime evidence, execute tests, and ultimately validate security findings through reproducible results.

The CyberGym evaluation provides a quantitative external benchmark for these capabilities.

Vulnerability Research Capabilities for the Real World

A core value of CyberGym lies in narrowing the gap between traditional AI testing and real-world cybersecurity research.

Its evaluation environment restores software projects to their pre-patch vulnerable states. An AI agent may need to autonomously identify an issue within a large codebase containing thousands of files and millions of lines of code, and ultimately generate a PoC capable of actually triggering the vulnerability.

More importantly, further CyberGym research has shown that such agentic security capabilities are not limited to reproducing known vulnerabilities.

In open-ended vulnerability research experiments, AI agents have identified multiple previously unknown zero-day vulnerabilities as well as historical security patches that did not fully resolve the underlying vulnerabilities. These findings demonstrate the potential for autonomous vulnerability analysis technologies to evolve from reproducing known vulnerabilities toward discovering real-world security flaws.

For GCSA, this represents an even more important direction of development.

Benchmark performance is not the end goal.

GCSA aims to further develop AI Security Agents capable of operating in real-world cybersecurity environments and gradually participating across the full security lifecycle, from vulnerability discovery and analysis to validation and subsequent remediation.

Building AI-Native Cybersecurity Capabilities

As artificial intelligence accelerates software development, AI is also transforming the way vulnerabilities are researched and cyber threats are addressed.

As software systems continue to grow in scale and complexity, the next generation of cybersecurity will increasingly depend on collaboration between human security experts and autonomous AI agents.

AI Security Agents have the potential to help security teams:

• Identify software vulnerabilities with genuine exploitation potential at an earlier stage;
• Automatically analyse complex attack paths across large codebases;
• Automatically generate PoCs and perform execution-level vulnerability validation;
• Reduce false positives in traditional security detection through real execution results;
• Accelerate vulnerability assessment, validation, and remediation;
• Expand the scale of software and systems that specialised security teams are able to cover.

GCSA Agent’s 91.3% score on CyberGym represents an important milestone in GCSA’s development of AI-native cybersecurity capabilities.

Going forward, GCSA will continue advancing research into autonomous vulnerability analysis, AI Security Agents, and intelligent cybersecurity technologies, further translating frontier AI capabilities into real-world security capabilities and providing technical support for a safer, more trustworthy, and more resilient digital environment.

Source: GCSA Global Cybersecurity Alliance
Official Website: www.gcsa.org

The post GCSA Agent Achieves 91.3% on CyberGym, Ranking Among the World’s Leading AI Cybersecurity Agents appeared first on BeInCrypto.

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The split was mutual, with both parties citing differing views on the future of Bitcoin mining and recent protocol developments.

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