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ETH this week: stabilization after liquidations and ETF flows inFundamental approach - ETH prices slipped this week amid a broad crypto pullback following a weekend wave of leveraged liquidations and profit-taking, even as prior spot ETF inflows and easing Fed policy supported risk appetite earlier in the week. Sentiment was volatile as traders digested mixed ETF flow signals and macro easing after the Fed's rate cut. - The main impacting factors included a reported $1.5B in crypto long liquidations, which are pressuring majors. ETH prices posted their weakest two-day stretch since late Aug as risk unwound into Monday's session. Offsetting factors were mid-Sep net inflows into US spot ETH ETFs, led by BlackRock's product, and growing anticipation for Dec's Fusaka upgrade aimed at scaling Layer 2 data capacity. - In the near term, ETH could stabilize if ETF flows remain favorable and macro conditions stay supportive; however, further deleveraging and data-sensitive risk sentiment could keep swings elevated. Upcoming catalysts include continued daily ETF flow prints, developer communications around the Fusaka timeline, and features that may influence medium-term adoption. Technical approach: - ETHUSD is forming a lower high and lower low pattern within the defined range of 4080-4756. The price is awaiting a clear breakout to determine the upcoming trend. - If ETHUSD breaks below the support at 4080, EMA78, and the descending channel's lower bound, the price may retest the following support at 3384. - On the contrary, closing above 4260 may help ETH prices gain momentum to retest the descending channel's upper bound. Analysis by: Dat Tong, Senior Financial Markets Strategist at Exness
by DatTong
ETHUSDT | Double Bottom Reversal | 1H SetupDescription: 📊 Pair: ETHUSDT ⏰ Timeframe: 1H 🔎 Analysis: Ethereum (ETHUSDT) has formed a double bottom pattern around the 4100–4120 support zone, signaling a potential bullish reversal after the recent downtrend. This structure suggests that buyers are defending this level, and a breakout above the neckline confirms upward momentum. 📌 Trade Plan (Example Setup): Entry: 4217.9 (neckline breakout) Stop Loss: 4104.45 (below pattern support) Target Profit 1: 4324.24 Target Profit 2: 4430.52 Risk:Reward: Approx. 1:2+ ⚠️ This analysis is for educational purposes only. Not financial advice. Hashtags: #ETH #Ethereum #ETHUSDT #Crypto #TradingSignals #TradingView
Long
by Abdul-Sami-TA
Cybersecurity Risks in Global Trading Systems1. The Technological Backbone of Global Trading Systems Modern trading systems are built upon a complex ecosystem of hardware, software, and networks. Key components include: Trading Platforms: Electronic systems enabling order placement, execution, and settlement. Market Data Feeds: Real-time price and volume data from exchanges, which are essential for algorithmic and high-frequency trading. Cloud Infrastructure: Many trading firms now use cloud-based services for scalability, storage, and computational power. APIs and Interconnections: Systems connect via APIs to brokers, exchanges, and other financial institutions, creating interdependencies. Decentralized Finance (DeFi) Protocols: Emerging blockchain-based trading platforms that operate without traditional intermediaries. While these technologies increase efficiency, speed, and accessibility, they also create vulnerabilities that cybercriminals can exploit. 2. Key Cybersecurity Risks in Trading Systems Cyber threats to global trading systems can be categorized into several types, each with distinct characteristics and potential impacts. 2.1 Data Breaches and Theft Sensitive financial data—trading algorithms, client information, and transaction histories—are prime targets for cybercriminals. Breaches can occur via: Phishing attacks: Fraudulent emails or messages trick employees or traders into revealing credentials. Credential stuffing: Automated attacks using stolen login credentials to access accounts. Insider threats: Employees or contractors intentionally or unintentionally leak sensitive data. Impact: Data breaches can lead to financial loss, reputational damage, and regulatory penalties. For instance, a breach exposing high-frequency trading algorithms can allow competitors or criminals to exploit market positions. 2.2 Distributed Denial-of-Service (DDoS) Attacks DDoS attacks flood trading platforms or exchanges with overwhelming traffic, causing outages or slowdowns. Motivation: Hackers may aim to manipulate market conditions by disrupting trading during volatile periods. Historical example: In 2012, the NASDAQ faced DDoS attacks that briefly disrupted trading, highlighting vulnerabilities in market infrastructure. Impact: DDoS attacks can halt trading, erode investor confidence, and create opportunities for price manipulation. 2.3 Market Manipulation through Cyberattacks Cyberattacks can be used to distort market prices artificially. Spoofing attacks: Fake orders are placed to create false demand or supply. Algorithmic exploitation: Hackers exploit vulnerabilities in automated trading systems to trigger erroneous trades. Impact: Such attacks can lead to significant financial losses and undermine trust in market integrity. Regulators have become increasingly vigilant about algorithmic manipulation. 2.4 Malware and Ransomware Malware targeting trading systems can cause disruptions, exfiltrate sensitive data, or lock critical systems. Ransomware: Attackers encrypt trading data and demand payment for access restoration. Advanced persistent threats (APTs): Long-term, stealthy attacks targeting high-value trading operations, often state-sponsored. Impact: Malware and ransomware can cripple trading firms, delay settlements, and trigger cascading financial consequences in interconnected markets. 2.5 Cloud and Third-Party Risks The adoption of cloud infrastructure and third-party services has introduced new vulnerabilities: Misconfigured cloud servers can expose sensitive trading data. Third-party vendors may have weaker security standards, providing an entry point for attacks. Supply chain attacks: Hackers compromise trusted software providers to infiltrate multiple trading firms simultaneously. Impact: Cloud and third-party vulnerabilities can compromise multiple market participants, amplifying the systemic risk. 2.6 Blockchain and DeFi Vulnerabilities Decentralized trading platforms and cryptocurrency exchanges are susceptible to unique cyber risks: Smart contract exploits: Flaws in code can allow hackers to drain funds from DeFi protocols. 51% attacks: In smaller blockchain networks, attackers controlling a majority of network power can manipulate transactions. Wallet phishing: Users’ private keys or wallets can be stolen through phishing or malware. Impact: These vulnerabilities can lead to massive financial losses and shake confidence in emerging digital financial markets. 3. Systemic Risks in Global Trading The interconnectivity of global trading systems means cyberattacks on a single node can ripple across markets. 3.1 Cross-Border Implications Trading firms operate in multiple jurisdictions. A cyberattack in one country can affect: Market liquidity in another country. Foreign exchange settlements. Multinational clearinghouses. 3.2 Contagion Risk Failures in one platform can trigger panic selling, algorithmic misfires, or delayed settlements, magnifying market volatility. 3.3 Operational Disruption Even temporary outages in critical trading infrastructure can disrupt order flows, create gaps in market transparency, and affect investor trust. 4. Regulatory Landscape and Compliance Regulatory authorities globally recognize the critical importance of cybersecurity in financial markets: U.S. Securities and Exchange Commission (SEC): Enforces cybersecurity standards for broker-dealers and exchanges. European Securities and Markets Authority (ESMA): Requires risk assessments and incident reporting for trading firms. Financial Stability Board (FSB): Provides guidelines on operational resilience for global financial infrastructure. India’s SEBI: Mandates cybersecurity audits and reporting for trading platforms and brokers. Challenges: Regulatory frameworks struggle to keep pace with rapidly evolving technology. Moreover, global coordination is challenging, as cyberattacks do not respect borders. 5. Case Studies of Cybersecurity Incidents in Trading 5.1 The 2010 Flash Crash Although primarily caused by algorithmic trading, the Flash Crash highlighted the vulnerability of automated trading systems to manipulation, accidental errors, or system failures. 5.2 Nasdaq and DDoS Attacks (2012–2013) Repeated DDoS attacks caused temporary outages, raising awareness of the importance of infrastructure resilience. 5.3 Mt. Gox Bitcoin Exchange Hack (2014) The Mt. Gox hack resulted in the loss of 850,000 bitcoins, illustrating risks in cryptocurrency trading platforms and the consequences of inadequate cybersecurity. 5.4 Colonial Pipeline Ransomware Attack (2021) Though not a trading platform, the Colonial Pipeline incident showed how ransomware can disrupt supply chains and trading-related commodities, affecting market pricing globally. 6. Emerging Threats and Future Risks 6.1 AI-Powered Cyberattacks Artificial intelligence can be weaponized to: Craft highly convincing phishing attacks. Automatically exploit vulnerabilities in trading algorithms. Conduct market manipulation at unprecedented speeds. 6.2 Quantum Computing Threats Quantum computing could potentially break current encryption standards, threatening the confidentiality and integrity of trading systems. 6.3 Deepfake and Social Engineering Attacks Advanced deepfakes could impersonate executives or regulatory authorities to authorize fraudulent transactions. 6.4 Increased Targeting of SMEs in Trading Smaller trading firms and emerging market platforms often have weaker security, making them attractive targets that can be gateways to larger markets. 7. Mitigation Strategies Addressing cybersecurity risks requires a multi-layered approach: 7.1 Technical Measures Encryption: Securing sensitive data at rest and in transit. Multi-factor authentication: Reducing the risk of credential theft. Regular penetration testing: Identifying and fixing vulnerabilities. AI-driven threat detection: Monitoring for unusual trading patterns and potential attacks. 7.2 Operational Measures Incident response planning: Ensuring rapid recovery from attacks. Employee training: Reducing phishing and insider threats. Vendor risk management: Auditing third-party security practices. 7.3 Regulatory and Collaborative Measures Global standards harmonization: Coordinating cybersecurity frameworks across markets. Information sharing: Exchanges and regulators sharing threat intelligence to prevent attacks. Stress testing and simulation: Evaluating system resilience under cyberattack scenarios. 8. The Human Factor in Cybersecurity Even the most advanced technology is vulnerable without proper human oversight. Common human errors include: Using weak passwords or reusing credentials. Falling for phishing attacks. Misconfiguring cloud services. Failing to follow incident response protocols. Training, awareness, and a culture of cybersecurity are essential components of risk management in global trading systems. 9. Conclusion Cybersecurity risks in global trading systems represent one of the most pressing challenges in modern finance. The combination of complex technology, interconnectivity, and rapid innovation creates a landscape where threats are constantly evolving. Breaches, attacks, or system failures can have cascading effects, impacting not only individual firms but entire markets and economies. Mitigating these risks requires a holistic approach: Investing in robust technical infrastructure and advanced threat detection. Developing strong operational protocols, including employee training and incident response plans. Coordinating globally through regulators, exchanges, and industry consortia to share intelligence and best practices. Emphasizing ongoing research into emerging threats such as AI-powered attacks, quantum computing risks, and blockchain vulnerabilities. In the high-speed, high-stakes world of global trading, cybersecurity is not just a technical issue—it is a fundamental pillar of market stability, investor trust, and economic resilience. Firms that proactively manage cybersecurity risks are better positioned to thrive in an increasingly interconnected, technology-driven
Education
by GlobalWolfStreet
3
Understanding Currency Derivatives: Types and Trading Roles1. Types of Currency Derivatives Currency derivatives come in several forms, each designed to serve specific purposes. The main types are: 1.1 Currency Forward Contracts What they are: A forward contract is a private agreement between two parties to exchange a specific amount of currency at a predetermined rate on a future date. Key features: Customized terms (amount, rate, settlement date) Traded over-the-counter (OTC), not on exchanges Use in trade: Companies use forwards to hedge against currency fluctuations. For example, an exporter expecting $100,000 in 3 months can lock in a rate today, ensuring revenue stability regardless of market movements. 1.2 Currency Futures What they are: Futures are standardized contracts to buy or sell a currency at a fixed price on a future date. They are traded on exchanges, unlike forwards. Key features: Standard contract sizes Daily settlement (marked-to-market) Reduced counterparty risk due to exchange involvement Use in trade: Futures allow both hedgers and speculators to manage risk. For example, an importer can lock in costs for future purchases in foreign currency using futures contracts. 1.3 Currency Options What they are: Options give the holder the right, but not the obligation, to buy or sell a currency at a specific price within a certain period. Types: Call option: Right to buy Put option: Right to sell Use in trade: Options are popular for hedging with flexibility. For example, an exporter may buy a put option to protect against a falling foreign currency while still benefiting if the currency rises. 1.4 Currency Swaps What they are: A swap is a contract to exchange cash flows in one currency for cash flows in another over a period. Key features: Can involve both principal and interest Often used between banks or large corporations Use in trade: Swaps help companies obtain foreign currency loans at better rates than borrowing directly in foreign markets. 1.5 Cross-Currency Contracts What they are: These contracts allow the exchange of currencies without involving a common base currency like the USD. Use in trade: Useful for companies trading between countries whose currencies are not widely paired, e.g., INR and JPY. 2. Role of Currency Derivatives in Trade Currency derivatives serve multiple roles in global commerce: 2.1 Hedging Against Currency Risk Companies engaging in international trade face unpredictable currency movements. By locking in exchange rates using derivatives, businesses stabilize revenue and costs. Example: An Indian IT company exporting to Europe can hedge against the euro weakening against the rupee. 2.2 Speculation Traders and investors use currency derivatives to bet on currency movements to make profits. Speculation adds liquidity to the market, which indirectly benefits businesses by making it easier to execute hedging strategies. Example: A trader may buy USD futures if they anticipate the dollar will rise against the rupee. 2.3 Arbitrage Opportunities Arbitrage involves exploiting price differences in the same currency across different markets. Currency derivatives allow arbitrageurs to profit from mismatches while keeping markets efficient. Example: If EUR/USD is slightly higher in one exchange than another, a trader can simultaneously buy low and sell high. 2.4 Portfolio Diversification Investors use currency derivatives to diversify their portfolios by gaining exposure to foreign currencies. This can help mitigate risks from domestic market volatility and improve returns. Example: A mutual fund in India may use currency options to reduce risk exposure from foreign investments. 3. Market Participants The main participants in currency derivatives markets include: Hedgers – Companies or institutions aiming to reduce currency risk. Speculators – Traders aiming to profit from currency movements. Arbitrageurs – Market participants exploiting price differences across markets. Market Makers – Entities providing liquidity, ensuring smoother trading operations. 4. Regulatory Framework In India, currency derivatives are regulated by: SEBI (Securities and Exchange Board of India): Ensures transparency and fair trading practices. RBI (Reserve Bank of India): Ensures participants have genuine foreign currency exposure to prevent excessive speculation. This regulatory framework ensures the market remains safe, transparent, and reliable. 5. Advantages of Currency Derivatives Risk Management: Protects businesses against unexpected currency fluctuations. Flexibility: Especially with options, businesses can choose to benefit from favorable movements while limiting losses. Liquidity: Standardized contracts in futures and options provide liquidity to the market. Efficient Global Trade: Reduces uncertainty in cross-border transactions, encouraging international business. 6. Challenges and Risks Market Risk: Currency values can be volatile; wrong predictions can lead to losses. Counterparty Risk: In OTC contracts, one party may default. Complexity: Some derivatives like swaps are complex and require expertise. Regulatory Constraints: In some countries, rules may limit derivative usage or impose restrictions. Conclusion Currency derivatives are indispensable tools for modern international trade. They allow businesses to manage risk, stabilize cash flows, and plan effectively. At the same time, they provide opportunities for traders and investors to profit from currency movements and engage in arbitrage. By understanding and using these instruments responsibly, companies can reduce uncertainty in global transactions, while financial markets benefit from improved liquidity and efficiency. With increasing globalization and cross-border trade, the importance of currency derivatives will continue to grow, making them a critical part of financial markets worldwide.
Education
by GlobalWolfStreet
ETH 1H Analysis - Key Triggers Ahead | Day 24😃 Hey , how's it going ? Come over here — Winter got something for you! ⏰ We’re analyzing ETH on the 1-Hour timeframe. 👀 On the 1-hour timeframe for Ethereum, we can see that after testing its major buyer zone, ETH bounced and entered a consolidation phase. This sideways movement is mainly due to the weekend slowdown. I’ve highlighted the range boundaries — a breakout above or below will provide us with trading opportunities. ETH is one of the few coins that has managed to hold its ground at a solid price level, showing strong potential for further growth. 🧮 Looking at the RSI oscillator, we’ve identified two key levels 30 (oversell) & 58 (local RSI ceiling) If ETH breaks these levels, it could trigger a breakout from this tight range and start a stronger move. 🕯 Currently, the green candles are larger in size and volume, but since it’s the weekend, ETH has been mostly off traders’ watchlists. We need to wait for the new weekly open to see how market participants will react. 💸 On the ETHBTC pair (1H timeframe), we’re seeing a similar setup to ETHUSDT. A breakout above or below the current range could start the next move. Adding this pair to the watchlist can provide confirmation for Ethereum setups. 🧠 For a long position on ETH, it’s important that the coin enters a clear buying phase — similar to the strong pumps we’ve seen before. Recently, however, ETH has faced profit-taking and sharp sell-offs after rallies. The coming week will show us whether this pattern continues or a stronger bullish move emerges. ❤️ Disclaimer : This analysis is purely based on my personal opinion and I only trade if the stated triggers are activated .
Long
by CryptosWinter
1
Deep Learning Model for 24-Hour ETH Price PredictionHi everyone, I’ve developed a deep learning AI model designed to predict ETH’s price movement over the next 24 hours on the 15-minute timeframe. It’s important to note that this model does not directly provide exact entry points for trades. Instead, it indicates the likely direction of the market, meaning you’ll still need basic trading knowledge to apply it effectively. After testing it over the course of one month, I achieved a success rate of around 90% in my trades when using the model as part of my strategy. The model was trained using the following features: Time-related: Hour, DayOfWeek Price & volume lags: Close_lag_1, Close_lag_2, Close_lag_4, Close_lag_8, Close_lag_12, Volume_lag_1, Volume_lag_2, Volume_lag_4, Volume_lag_8, Volume_lag_12 Moving averages & statistics: MA_4, Std_4, Dist_MA_4, MA_16, Std_16, Dist_MA_16, MA_48, Std_48, Dist_MA_48, MA_96, Std_96, Dist_MA_96 Technical indicators: Return_log, MACD, RSI Hourly Forecast for the Next 24 Hours 2025-09-18 12:00:00+00:00 4570.725599 2025-09-18 13:00:00+00:00 4558.693652 2025-09-18 14:00:00+00:00 4546.442637 2025-09-18 15:00:00+00:00 4534.256704 2025-09-18 16:00:00+00:00 4522.277544 2025-09-18 17:00:00+00:00 4510.699341 2025-09-18 18:00:00+00:00 4499.536408 2025-09-18 19:00:00+00:00 4488.703938 2025-09-18 20:00:00+00:00 4478.101359 2025-09-18 21:00:00+00:00 4467.636393 2025-09-18 22:00:00+00:00 4457.235836 2025-09-18 23:00:00+00:00 4446.846200 2025-09-19 00:00:00+00:00 4436.441950 2025-09-19 01:00:00+00:00 4427.617370 2025-09-19 02:00:00+00:00 4420.516500 2025-09-19 03:00:00+00:00 4413.416921 2025-09-19 04:00:00+00:00 4405.776459 2025-09-19 05:00:00+00:00 4397.661417 2025-09-19 06:00:00+00:00 4389.237012 2025-09-19 07:00:00+00:00 4380.625582 2025-09-19 08:00:00+00:00 4371.890136 2025-09-19 09:00:00+00:00 4363.069585 2025-09-19 10:00:00+00:00 4354.201563 2025-09-19 11:00:00+00:00 4345.320931
Short
by mohammadsabett
1
ETH Price Outlook – Consolidation Phase Before ExpansionETH Price Outlook – Consolidation Phase Before Expansion Ethereum has been trading with mixed sentiment after its recent surge, creating a period of indecision where both bullish and bearish flows are visible. The market has shifted from an impulsive rise into a phase of correction, where price is probing lower levels to test demand before establishing the next trend. Recent activity shows sharp swings on both sides, reflecting a battle between profit-taking and fresh positioning. Sellers have been active, but each decline still encounters buyers stepping in, preventing a deeper breakdown. This pattern suggests that the market is in a balancing phase, where short-term pressure coexists with longer-term accumulation. The overall structure points toward a scenario where current weakness may serve as a preparation stage for another expansion move. Volatility is likely to remain elevated, and once liquidity pockets are cleared, momentum could shift more decisively, paving the way for stronger directional movement.
Long
by XAU_EMPIRE
#ETH Potential Bearish Structure📊 #ETH Potential Bearish Structure 📉 🧠From a structural perspective, we've been capped by the blue descending trendline and have retreated after hitting heavy resistance at 4522. There's a chance we could form a bearish head-and-shoulders pattern on the hourly chart. ➡️A break below the neckline or the yellow ascending support line would strengthen the bearish signal. 🤜If you like my analysis, please like 💖 and share 💬 BITGET:ETHUSDT.P
Short
by wolf_king888
ETH/USDT | ETH Weekly Setup – Strong Demand Pushes Toward $6K!By analyzing the Ethereum chart on the weekly timeframe, we can see that after entering the $3,800 demand zone, ETH gained strong buying pressure and reached the $4,200 and $4,600 targets. Currently, Ethereum is trading around $4,500, up about 19%, and I expect further bullish movement soon. The next upside targets are $4,950, $5,500, and $6,000. THE LATEST TA : Please support me with your likes and comments to motivate me to share more analysis with you and share your opinion about the possible trend of this chart with me ! Best Regards , Arman Shaban
Long
by ArmanShabanTrading
1
Eth Update📈 Ethereum (ETH) According to Bitget’s daily technical ratings, ETH leans Buy: moving averages are mostly bullish, though some oscillators are mixed. On TradingView, ETH is in a consolidation zone, and a bullish MACD crossover is being watched as a possible trigger for a move up (~10-12%) in the near term. Coinalyze shows ETH is trading under its 20 and 50 EMA in shorter timeframes, which suggests some resistance overhead. Insight: ETH is balancing between resistance and support zones. If buyers break above the near-term resistance with volume, we could see continuation. But weakness below key MAs could tilt momentum back to the downside. Be alert for a breakout signal.
by cryptoOGtrader