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Here's a secret strategy of supply zone that few traders know about: Strategy: "Imbalance of Trade" Supply Zone Strategy. Concept: Identify areas where there is an imbalance of trade between buyers and sellers, creating a supply zone that is likely to cause a price reversal. Step-by-Step Guide: 1. Use a combination of charts: Analyze both the spot price chart and the order book heatmap to identify areas of imbalance of trade. 2. Look for "lopsided" order books: Identify areas on the order book heatmap where there is a significant imbalance between buy and sell orders. 3. Check for institutional order flow: Use tools like order flow indicators or footprint charts to identify areas where institutional traders are placing large orders. 4. Identify the supply zone: Once you've identified the imbalance of trade, draw a box around the area to define the supply zone. 5. Set up your trade: Set up a short sell order at the supply zone, with a stop-loss above the zone and a take-profit below the zone. Tips and Variations: 1. Use multiple time frames: Analyze the supply zone across multiple time frames to confirm its validity. 2. Look for confluence: Identify areas where multiple supply zones converge, increasing the probability of a successful trade. 3. Use volume analysis: Analyze trading volume to confirm the supply zone and identify potential sell signals. Risk Management: 1. Use proper position sizing: Determine optimal trade sizes based on risk management principles. 2. Set stop-loss orders: Set stop-loss orders to limit potential losses. 3. Stay disciplined: Stay disciplined and avoid impulsive decisions, even in the face of significant gains or losses. Advanced Techniques: 1. Use machine learning algorithms: Use machine learning algorithms to identify patterns in order flow and institutional trading activity. 2. Analyze market sentiment: Analyze market sentiment using tools like sentiment analysis indicators or social media to confirm the supply zone. 3. Use alternative chart types: Use alternative chart types, like Renko or Point and Figure charts, to identify supply zones that may not be visible on traditional charts. By using this secret strategy, you can uncover hidden supply zones that few traders know about, giving you an edge in the markets. Thank you...🙂 $BTC $ETH $SOL $XRP $ADA $PI $BGB

Despite the early promises of blockchain technology to revolutionize global finance, cryptocurrency payments, while gaining traction, remain a small fraction of the overall market. Industry experts point to a combination of traditional financial inertia, volatility, and regulatory uncertainty as key factors hindering widespread adoption. Petr Kozyakov, co-founder and CEO of Mercuryo, a payment infrastructure platform, highlighted these challenges, stating, “It boils down to a mix of inertia and uncertainty. Traditional finance has been around forever and people trust it, even if it’s slow and expensive. Cryptocurrency, especially stablecoins, are still comparatively new and that makes businesses and regulators nervous.” Kozyakov’s assessment aligns with findings from recent reports analyzing the crypto payment landscape. For instance, marketer Linda Roper wrote in a blog post that resistance to change while normal it can be damaging when it stops a finance team from broadening its horizons and thinking outside the box. On the other hand, a recent survey by Bitget found that while users prefer crypto payments for speed, security concerns remain a key barrier. Furthermore, the lack of a unified global regulatory framework creates a complex landscape for businesses operating in the crypto space. However, proponents argue that the cryptocurrency payment landscape has evolved with significant advancements in security and scalability, which in turn pave the way for mainstream business adoption. Kozyakov, a veteran in the payments industry, concurs and adds that the crypto space has reached a crucial turning point, fueled by technological improvements and growing user confidence. “We’re definitely getting there,” Kozyakov stated, addressing the question of whether mainstream businesses can now confidently accept crypto payments. He told Bitcoin.com News about the dramatic improvements in security, particularly in Web3 protocols and custody solutions. “Think about how much stronger [they] are compared to five years ago, when network outages—sometimes for hours at a time—were the norm and were tolerated.” Kozyakov also pointed to the significant strides made in scalability, thanks to Layer 2 solutions and high-speed networks. However, he emphasized that the most crucial shift is user acceptance. “People are more comfortable with digital wallets, and as education spreads, the hesitation to engage with crypto fades.” Regarding the argument from crypto advocates that cryptocurrency will become a significant backbone for payment systems in the future, the Mercuryo CEO said he remains bullish but admitted that regulatory gaps and technological mismatches are hurdles that must be overcome. Still, he noted that this transition will not be sudden, as some hope. “In my opinion, there won’t be some Eureka moment when crypto arrives on the world stage. It’ll be subtle, just like every other tech revolution that’s gone before, from the Industrial Revolution to the dawn of the internet itself,” the CEO opined. Turning to his experiences and challenges in promoting mainstream adoption of crypto payments, Kozyakov acknowledged that it has “been quite a ride.” He pointed to what he called a regulatory maze that his company has had to navigate, as each market has its own rules. He also highlighted the difficulty in building trust, particularly with merchants, given the industry’s evolving regulatory status. To address these challenges, Kozyakov said Mercuryo has focused on establishing reliable collaborations and making crypto payments as seamless as traditional digital wallet transactions. Paying attention to users’ opinions and complaints is another way Mercuryo has worked to overcome these challenges. “Thirdly, we listen to our users. Their feedback keeps us sharp and helps us tweak things to fit their real-world needs,” the CEO said. Meanwhile, Kozyakov envisions a significant expansion of crypto payments by 2030, potentially capturing a double-digit percentage of global cross-border flows, particularly in remittances and e-commerce. He also predicts that stablecoins will lead this growth due to their practicality and stability, and that businesses will increasingly adopt crypto as it becomes more convenient. He anticipates the rise of hybrid systems merging traditional finance (TradFi) with cryptocurrency, ultimately leading to seamless, intuitive blockchain-based transactions that may even be transparent to the end user, connecting millions globally. 免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。

🤖 The Future of AI in Cybersecurity: Trends and Predictions 🔒 *Introduction* Artificial intelligence (AI) is revolutionizing the field of cybersecurity, enabling organizations to detect and respond to threats more efficiently. In this article, we'll explore the future of AI in cybersecurity, including trends and predictions. *Key Trends* - *Increased Adoption of AI-Powered Security Solutions*: More organizations are adopting AI-powered security solutions to detect and respond to threats. - *Improved Threat Detection and Response*: AI-powered solutions are improving threat detection and response times, reducing the risk of cyber attacks. - *Enhanced Incident Response*: AI-powered incident response solutions are helping organizations respond to cyber attacks more efficiently. - *Increased Focus on Explainability and Transparency*: There is a growing need for explainability and transparency in AI-powered security solutions [3][5]. *Predictions* - *AI-Powered Security Solutions Will Become More Prevalent*: AI-powered security solutions will become more prevalent in the next few years, enabling organizations to detect and respond to threats more efficiently. - *Increased Use of Machine Learning and Deep Learning*: Machine learning and deep learning will be used more widely in cybersecurity to detect and respond to threats. - *More Focus on Cybersecurity Skills and Training*: There will be a growing need for cybersecurity skills and training, particularly in AI and machine learning. - *Increased Collaboration Between Humans and AI*: There will be more collaboration between humans and AI in cybersecurity, enabling organizations to detect and respond to threats more efficiently [3]. *Real-World Examples* - *IBM's QRadar*: A security information and event management (SIEM) solution that uses AI to detect and respond to threats. - *Google's Chronicle*: A security analytics platform that uses AI to detect and respond to threats. - *Microsoft's Azure Security Center*: A cloud-based security solution that uses AI to detect and respond to threats [1]. *Conclusion* The future of AI in cybersecurity is exciting, with many trends and predictions pointing to increased adoption and innovation. As AI-powered security solutions become more prevalent, organizations will need to stay ahead of the curve to detect and respond to threats more efficiently.$U2U $QTUM $MAK $CATS $DBR $BOX $NEIROCTO

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