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BTC 4H UpdateAre we breaking out or faking out? 📉📈 Bitcoin is at a massive crossroads today, and the $91k level is the only thing that matters right now. We’ve seen some intense "chop" as the market prepares for today's FOMC decision. My Technical Take: Bullish Scenario: We need a clean flip of $91,195. If we hold that as support, I’m eyeing $95,621 as the first stop, with a potential run to $98k liquidity. Bearish Scenario: If $91k stays as a ceiling, we likely visit the $86,355 support again. Keep a close eye on the $83k–$84k demand zone—if we drop there, that's where the real "dip-buying" begins. The Game Plan: Volatility is the name of the game today. Don’t chase the initial wick; wait for the 4H candle close for confirmation. February is historically strong for BTC, so a breakout here could ignite a massive Q1 rally. What’s your move? 👇 Are you Longing the breakout or Waiting for the $84k dip? Let’s talk in the replies! #Bitcoin #BTC #CryptoTrading #FOMC #TechnicalAnalysis #TradingView #Web3
Long
by OxSturdy
2
Bitcoin Is Reacting, Not Breaking, Patience Before the Next MoveWhen I look at this chart, I don’t see panic or trend failure. I see price pulling back into a clearly defined demand area within a rising structure and responding from it. That matters. If sellers were truly in control, price wouldn’t pause here, it would slice through demand without hesitation. Instead, Bitcoin is holding above structure, absorbing selling pressure, and stabilising. The repeated rejections from the upper supply zone show that resistance exists, but the key point is this: sellers are unable to push price into a breakdown. Momentum has cooled, volatility has compressed, and RSI has reset without price collapsing, all signs of balance, not weakness. This phase feels slow and uncomfortable, especially for traders who expect constant movement, but historically this is where the market builds the base for its next decision. I’m not interested in chasing price near resistance, and I’m not interested in panic selling into demand. I want to observe how price behaves here, because reactions at structure tell the real story. As long as Bitcoin continues to respect this rising demand and doesn’t accept below it, the broader structure remains intact and upside expansion stays on the table. A clean break below structure would force me to rethink, until then, patience is the position. Sometimes the best trades don’t come from predicting the next candle. They come from waiting while price proves who is actually in control. Disclaimer: This analysis is for educational purposes only and not financial advice. Always manage risk and trade according to your own plan.
TICKMILL:BTCUSDLong
by TraderRahulPal
Introduction to Agricultural Commodities and SoftsAgricultural commodities are raw materials derived from farming and livestock, forming a critical part of global trade and the commodities market. These commodities are primarily categorized into two groups: hard commodities and soft commodities. While hard commodities include natural resources like metals and energy products, soft commodities refer to agricultural products that are grown rather than mined. These include crops like wheat, corn, soybeans, coffee, sugar, cotton, cocoa, and livestock products such as cattle and hogs. Soft commodities are essential to the global economy because they are fundamental to human consumption, industrial production, and trade. They are also highly sensitive to factors like weather patterns, seasonal changes, geopolitical events, and technological advancements in agriculture. The trading of these commodities forms a critical part of global commodity markets, with futures contracts, options, and spot trading helping farmers, traders, and investors hedge risks or speculate on price movements. Classification of Agricultural Commodities Agricultural commodities can be broadly classified into the following categories: Grains and Cereals: These are staple foods consumed globally and include wheat, rice, corn, barley, and oats. Grains are essential for food security and are also used in the production of animal feed, biofuels, and processed food products. Oilseeds and Legumes: Soybeans, canola, sunflower seeds, and peanuts are major oilseed crops. They are primarily used for producing vegetable oils and animal feed, as well as for industrial purposes. Legumes like lentils and chickpeas are also traded commodities due to their high nutritional value. Softs: Soft commodities refer to crops that are typically grown in tropical or subtropical regions and are not staple grains. These include coffee, cocoa, sugar, cotton, tea, and orange juice. Soft commodities are highly influenced by climatic conditions and are often grown in regions susceptible to political and economic volatility, which can lead to price fluctuations in international markets. Livestock: While not “soft” in the classical sense, livestock commodities such as live cattle, feeder cattle, and lean hogs are integral parts of agricultural commodity trading. Prices in livestock markets are influenced by feed costs, disease outbreaks, weather conditions, and consumer demand for meat products. Key Soft Commodities Coffee: Coffee is one of the most widely traded soft commodities globally. Major producers include Brazil, Vietnam, Colombia, and Ethiopia. Coffee prices are influenced by weather patterns, crop diseases (such as coffee leaf rust), labor availability, and global demand. Coffee futures are primarily traded on the Intercontinental Exchange (ICE). Sugar: Sugar is produced from sugarcane and sugar beets. Leading producers include Brazil, India, Thailand, and the European Union. Sugar prices fluctuate due to weather conditions, production levels, government policies, and ethanol demand (as sugarcane is also used in ethanol production). Cocoa: Cocoa beans are the primary ingredient in chocolate production. West African countries, particularly Ivory Coast and Ghana, dominate cocoa production. Political stability, climate changes, and disease outbreaks in these regions can have a significant impact on global cocoa prices. Cotton: Cotton is a key raw material for the textile industry. Major cotton-producing countries include the United States, India, China, and Brazil. Cotton prices are affected by weather conditions, global demand for textiles, and changes in synthetic fiber usage. Orange Juice: Primarily produced in Brazil and the United States (Florida), orange juice is traded in futures markets. Weather events such as frost or hurricanes significantly impact the production and price of orange juice. Tea: Tea is grown mainly in India, China, Kenya, and Sri Lanka. Prices are influenced by seasonal harvests, global consumption trends, and labor availability in plantations. Factors Affecting Agricultural Commodities and Softs Weather and Climate: Agricultural commodities are extremely sensitive to weather conditions. Droughts, floods, unseasonal rains, and hurricanes can drastically reduce crop yields, leading to price volatility. For example, a drought in Brazil can sharply increase coffee and sugar prices globally. Supply and Demand: Basic economics drives commodity prices. An oversupply of crops reduces prices, while a shortage increases them. Factors such as population growth, dietary changes, and biofuel demand can shift demand patterns significantly. Geopolitical and Economic Events: Trade policies, tariffs, and sanctions affect commodity prices. For instance, export restrictions by a major producing country can create supply shortages and increase global prices. Currency Fluctuations: Since most agricultural commodities are traded internationally in U.S. dollars, changes in currency exchange rates can influence prices. A weaker dollar generally makes commodities cheaper for foreign buyers, potentially boosting demand. Technological Advancements: Improvements in farming techniques, irrigation, seed quality, and pest control can increase yields and stabilize prices. Conversely, delays in adopting new technologies may reduce productivity and raise prices. Speculation and Market Sentiment: Traders and investors in futures markets play a role in price determination. Speculative buying or selling can amplify price movements, sometimes disconnected from physical supply-demand fundamentals. Trading and Investment in Agricultural Commodities Agricultural commodities are actively traded in both physical and financial markets. The physical market involves actual buying and selling of the raw product, while the financial market deals with derivatives like futures and options. Futures contracts are standardized agreements to buy or sell a commodity at a predetermined price on a future date. Soft commodities are widely traded on global exchanges such as: ICE (Intercontinental Exchange) – Coffee, cocoa, sugar, and cotton futures. CME Group – Soybeans, corn, wheat, and livestock futures. Investors use agricultural commodities for hedging (protecting against price risk) and speculation (profit from price movements). For example, a sugar producer may sell futures contracts to lock in prices, while a trader may buy them anticipating a price rise due to supply concerns. Economic and Social Importance Agricultural commodities, especially softs, have immense economic and social significance: Global Trade: Soft commodities like coffee, cocoa, and sugar are major export products for developing countries. Their trade generates foreign exchange earnings and supports rural employment. Food Security: Cereals and oilseeds are critical for feeding the global population. Price stability in these commodities ensures access to affordable food. Industrial Use: Cotton feeds the textile industry, sugar is used in food processing and ethanol production, and soybeans contribute to oils and animal feed. Inflation Indicator: Agricultural commodity prices often influence food inflation. Sharp increases in soft commodities can directly impact consumer prices, particularly in developing nations. Challenges in the Agricultural Commodity Market Volatility: Agricultural commodities are inherently volatile due to their sensitivity to unpredictable factors like weather, disease, and geopolitical tensions. Storage and Transportation: Unlike metals or oil, agricultural products can be perishable, requiring proper storage and logistics. Inefficiencies can lead to spoilage and losses. Environmental Concerns: Intensive farming practices may lead to soil degradation, water scarcity, and deforestation, affecting long-term sustainability. Policy Dependence: Government subsidies, import/export restrictions, and trade agreements heavily influence market dynamics, often creating artificial price distortions. Conclusion Agricultural commodities and softs form a cornerstone of global trade and economic activity. They are critical for food security, industrial production, and rural livelihoods. Soft commodities like coffee, cocoa, sugar, and cotton, while highly lucrative, are highly sensitive to environmental, economic, and political factors, making them volatile but attractive for traders and investors. Understanding the complex interplay of supply, demand, climate, and market dynamics is essential for anyone participating in these markets. The ongoing globalization of trade, coupled with advances in agricultural technology and increased investment in commodity markets, continues to shape the future of agricultural commodities. As population growth and changing consumption patterns drive demand, soft commodities will remain a pivotal element of the global economy and financial markets.
CRYPTO:ETHUSDEducation
by GlobalWolfStreet
Tech & AI Upside: Opportunities, Drivers, and Future Outlook1. Growth Drivers of Tech and AI The upside potential of tech and AI is rooted in several structural growth drivers. First, digital transformation across industries is accelerating. Organizations, from healthcare and finance to manufacturing and retail, are increasingly adopting digital tools to improve efficiency, enhance customer experiences, and gain competitive advantages. AI applications such as predictive analytics, natural language processing, and computer vision are becoming central to these transformations. For instance, AI-driven supply chain optimization can reduce costs and improve delivery times, while AI-based financial models can enhance risk management and investment strategies. Second, the proliferation of data fuels AI growth. The explosion of digital information—ranging from transaction records and social media interactions to IoT sensor data—is creating a rich ecosystem for AI algorithms to analyze and learn from. Advanced machine learning models thrive on large datasets, enabling better predictions, automation, and personalization. For example, recommendation engines in e-commerce and streaming platforms use AI to process massive datasets, leading to improved engagement and monetization. Third, advancements in computational infrastructure have significantly increased AI’s potential. The development of high-performance GPUs, TPUs, and cloud-based AI platforms has enabled the training of increasingly complex models that were previously infeasible. AI models such as large language models and generative AI can now perform tasks ranging from content creation and code generation to medical diagnostics and drug discovery, opening new markets and revenue streams. Finally, favorable investment trends support tech and AI expansion. Venture capital and private equity investments in AI startups continue to rise, reflecting strong investor confidence in the sector’s long-term growth. Governments and corporations are also increasing funding for AI research, recognizing its potential to drive national competitiveness and industrial leadership. 2. Market Opportunities Across Industries The upside of tech and AI is not limited to the software industry; it spans virtually every sector of the economy. In healthcare, AI-powered diagnostics, predictive analytics, and personalized treatment plans are improving patient outcomes while reducing costs. Companies leveraging AI to analyze medical images, monitor patient vitals, or design new drugs are poised to redefine healthcare delivery and pharmaceutical innovation. In finance, AI is transforming investment management, fraud detection, and customer service. Robo-advisors and algorithmic trading platforms leverage AI to optimize investment strategies, while banks use AI-driven systems to detect anomalous transactions in real-time, significantly reducing fraud risk. In manufacturing and logistics, AI is revolutionizing production efficiency, predictive maintenance, and supply chain management. Smart factories equipped with AI-powered robotics and IoT sensors can reduce downtime, improve product quality, and respond more rapidly to market demand. Similarly, AI-driven logistics platforms optimize routes and inventory management, leading to cost savings and faster delivery. Consumer technology also presents vast opportunities. AI enhances user experiences through voice assistants, personalized recommendations, augmented reality applications, and intelligent devices. Social media, streaming services, and e-commerce platforms increasingly rely on AI to retain users and boost engagement. Generative AI, which can create text, images, audio, and even video content, is unlocking entirely new forms of digital creativity and content monetization. 3. Economic and Competitive Implications The rise of AI is reshaping the competitive landscape. Companies that successfully integrate AI into their operations gain a distinct advantage, often achieving higher efficiency, lower costs, and better customer satisfaction. This creates a “winner-takes-most” dynamic in many markets, particularly in areas like cloud computing, AI platforms, and enterprise software. Tech giants such as Microsoft, Google, and Amazon are leveraging their AI capabilities to dominate cloud services, productivity tools, and consumer applications, while startups focus on niche innovations that address specific industry pain points. Economically, AI and technology adoption drive productivity gains and job creation, although they also present challenges related to workforce displacement. Routine and repetitive tasks are increasingly automated, leading to shifts in labor demand toward higher-skill roles in AI development, data science, cybersecurity, and digital strategy. Governments and institutions face the task of balancing innovation with workforce reskilling initiatives to ensure inclusive economic growth. 4. Investment Opportunities in Tech and AI From an investment perspective, the upside in tech and AI is reflected in both public and private markets. Public equities in AI-focused technology companies offer exposure to companies with proven business models, large datasets, and scalable platforms. Companies specializing in cloud computing, AI chips, cybersecurity, and enterprise software are particularly attractive due to their strategic importance and recurring revenue models. Private investments, including venture capital and private equity, provide exposure to high-growth AI startups that may become the next generation of market leaders. These investments carry higher risk but offer significant potential rewards if the startups successfully develop disruptive technologies and achieve market traction. Additionally, thematic ETFs and mutual funds focused on AI and technology provide diversified exposure to the sector, allowing investors to benefit from broad AI adoption without concentrating risk in a single company. 5. Challenges and Considerations Despite the substantial upside, tech and AI adoption also faces challenges. Ethical concerns around privacy, bias, and accountability are increasingly scrutinized by regulators and society. AI systems trained on biased data can perpetuate discrimination, while widespread data collection raises questions about consent and security. Companies must prioritize responsible AI development, transparency, and regulatory compliance to maintain public trust. Moreover, technological complexity and talent shortages can limit AI implementation. Developing, deploying, and maintaining advanced AI systems requires highly specialized skills, creating competitive pressures for top talent. Companies that fail to attract and retain AI experts may struggle to compete effectively. Cybersecurity risks are another concern. As AI becomes more integrated into critical systems, vulnerabilities in AI models can be exploited, leading to financial losses, reputational damage, or systemic disruption. Robust cybersecurity protocols and AI model validation are essential to mitigate these risks. 6. Future Outlook Looking ahead, the upside of tech and AI remains substantial. Emerging trends such as generative AI, autonomous systems, quantum computing, and AI-driven biotech applications have the potential to create entirely new industries and redefine existing ones. Generative AI, in particular, is already disrupting creative industries, software development, and customer engagement, with the potential to automate complex tasks previously thought to require human creativity. Moreover, AI’s integration with other technologies, including IoT, blockchain, and 5G networks, will enable new business models and operational efficiencies. For instance, smart cities leveraging AI and IoT can optimize traffic flow, energy usage, and public safety, while AI-enabled blockchain systems can enhance supply chain transparency and security. Overall, the upside of tech and AI is characterized by transformative potential, broad applicability across sectors, and significant economic impact. Companies, investors, and policymakers that understand and harness these opportunities while managing associated risks are likely to benefit from long-term growth and innovation leadership. Conclusion The tech and AI sector offers unparalleled upside potential, fueled by data proliferation, computational advancements, digital transformation, and strong investment support. Opportunities span multiple industries, from healthcare and finance to manufacturing and consumer technology, with AI enabling efficiency, innovation, and enhanced user experiences. While ethical, regulatory, and technical challenges exist, the long-term prospects remain robust, with emerging technologies poised to redefine markets and create new economic frontiers. Stakeholders that strategically invest in AI innovation, talent, and responsible adoption are positioned to capitalize on one of the most significant growth stories of the 21st century.
BITSTAMP:BTCUSDEducation
by GlobalWolfStreet
Bitcoin Bybit chart analysis JENUARY 27Hello It's a Bitcoin Guide. If you "follow" You can receive real-time movement paths and comment notifications on major sections. If my analysis was helpful, Please click the booster button at the bottom. This is a Bitcoin 30-minute chart. Shortly, there's a Nasdaq indicator release at 12:00 PM. On the left, with the purple finger, I've linked the strategy to yesterday's long position entry point, 87.5K. *Red finger movement path: One-way long position strategy 1. $87,276 long position entry point / Stop loss if the green support line is broken 2. $88,691.1 long position first target -> Target prices in order from Gap 8 onwards 88.1K in the middle is a useful long position re-entry point. For those holding long positions yesterday, I recommend setting a stop loss if the green support line is broken. Bottom: Light blue support line -> If the first section is broken, the bottom: $85,238.3 is the final support line. Up to this point, I ask that you use my analysis for reference only. I hope you operate safely, with a focus on principled trading and stop-loss orders. Thank you.
BYBIT:BTCUSD.PLong
by BitCoinGuide
(FOMC) Bitcoin Bybit chart analysis JENUARY 28Hello It's a Bitcoin Guide. If you "follow" You can receive real-time movement paths and comment notifications on major sections. If my analysis was helpful, Please click the booster button at the bottom. This is a 30-minute Bitcoin chart. The FOMC will announce interest rates at 4:00 AM tomorrow. In the lower left corner, with the purple finger, I've linked my strategy to the long position entry point I entered yesterday, at $82,276. *Conditional Long Position Strategy based on the Red Finger Movement Path 1. After touching the purple finger's first section at the top (autonomous short) -> Switch to a long position at $89,300 at the red finger / Stop-loss price if the purple support line is broken 2. First target for a long position at the top section: $91,612.7 -> Target prices in the order of Good and Great If the price fails to touch the first section at the top and immediately falls, the second section at the bottom: $88,782.9 is the entry point for a long position / Stop-loss price if the purple support line is broken If the price breaks the purple support line, the price may fall to up to section 3 from the bottom. Please use my analysis to this point for reference only. I hope you operate safely, adhering to principled trading and stop-loss prices. Thank you.
BYBIT:BTCUSD.PLong
by BitCoinGuide
Bitcoin at Demand: Where Most Traders Panic and Smart Money WaitWhen I look at this chart, I don’t see weakness. I see price reacting exactly where it should . Bitcoin is sitting above a clearly defined demand zone, and instead of collapsing, price is slowing down and compressing. That usually tells me the market is absorbing liquidity, not distributing . Key things I’m focusing on: Price is holding above ascending demand , which shows buyers are still defending structure. Reactions from the demand zone are clean , not impulsive, a sign of controlled participation. Overhead supply is present , which explains the compression instead of an instant breakout. RSI bullish divergence adds confidence that downside momentum is weakening near demand. My mindset here: I’m not chasing moves. I’m not panicking into demand. I’m simply watching how price behaves here , because this zone decides whether the next move expands or fails. As long as structure holds, patience matters more than prediction. Disclaimer: This analysis is for educational purposes only. Not financial advice. Always manage your risk.
BYBIT:BTCUSDH2026Long
by TraderRahulPal
Intraday Short Setup | Jan 16th 2026 | Valid Until Daily ClosePrice when pushed into a potential intraday Pivot supply zone (red box) where sellers may step in. This trade is based on the expectation of a rejection from this area. Entry: Red box - a short entry zone aligned with overhead supply Stop Loss: Above the red zone (invalidates the setup) Target: Green box - area to consider partial/full exit based on momentum Risk-reward is favorable with a tight invalidation and clean downside target Price may stall or reverse near the red box, creating short opportunity Note: This is an intraday trade idea that expires at 00:00 UTC (Daily Candle Close). Re-evaluate the setup if price remains indecisive near the entry zone close to that time.
Short
by pivottrader88
Weekly Long Setup | Jan 20th 2026 | Valid Until Weekly ClosePrice might retrace to a strong pivot zone (marked by the red box). Structure remains bullish on HTF with potential for continuation after pullback. The green box represents a high-probability long opportunity with tight risk control. Watch for price reaction within the red zone. Entry only if confirmation (e.g., bullish engulfing, strong wick rejections) appears. The setup expires at end of the weekly candle close.
Long
by pivottrader88
2
#ETH ON THE EDGE DELTAIN:ETHUSD.P ETH is on the edge of the cliff. If it breaks below this level, we can see a significant downward move to $2200 easily and worst case of $1500 & $1400. Long term investors can accumulate on the supports. Follow me for more. This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or trade signals. The creator and Systematic Traders Club are not responsible for any financial losses resulting from the use of this indicator. Trading and investing involve risk. Always do your own analysis and use proper risk management.
DELTAIN:ETHUSD.PShort
by BoobeshDasarath93
BTCUSD Demand Zone in Focus After Strong Bearish MoveBTCUSD is currently trading after a strong bearish move, where price broke below the earlier sideways structure with high selling momentum. The market clearly respected a downward trend, forming lower highs and showing consistent selling pressure. The resistance area around 89,800–90,400 worked as a strong selling zone, where price faced rejection and sellers regained control, leading to a sharp fall. After this decline, price has now reached a major demand zone near 83,500–84,000. This area is supported by earlier buying activity and base formation, making it an important support level. The present reaction from this zone indicates that sellers are slowing down and buyers are trying to hold price. As long as BTCUSD stays above this demand, short-term stability or a corrective move can be seen. The risk area below demand shows where downside pressure may increase if support breaks. A clear move below this zone would strengthen the bearish trend further. For now, price is consolidating near support, and volatility is expected around these levels. Overall market bias remains cautious, with bearish control still active, but short-term recovery chances remain while demand holds. Disclaimer: This analysis is for educational purposes only. It is not financial advice. Trading involves risk and uncertainty.
OANDA:BTCUSDLong
by SwingTrade_Concept
BTCUSD Consolidates Near Demand as Market Tests Key ResistanceBTCUSD is currently trading after a corrective phase that followed a strong bearish move. The earlier price action clearly respected a downward structure, with lower highs and consistent selling pressure. After reaching the recent lows, price started to stabilise and move sideways, indicating reduced selling momentum. This behaviour suggests the market is shifting into a consolidation phase rather than continuing aggressively lower. A clear resistance area is visible around 89,800–90,200. This zone previously acted as a strong selling area where price faced rejection and failed to sustain higher levels. It remains an important upside barrier, and price reactions are expected if this area is retested. Acceptance above this resistance would weaken the bearish structure and improve recovery strength. On the downside, a well-defined demand zone is located around 86,800–87,400. This area shows strong buying interest in the past, supported by sharp bullish reactions and base formation. It acts as a key support and potential buy interest zone as long as price holds above it. Below this, the marked risk area highlights where bearish momentum may increase if support fails. At present, price is moving between demand and resistance, showing range behaviour. Small higher lows suggest early accumulation, but confirmation is still required. Overall bias remains neutral to cautious, with volatility expected near key zones. Disclaimer: This analysis is for educational purposes only. It is not financial advice. Trading involves risk and uncertainty.
OANDA:BTCUSDLong
by SwingTrade_Concept
BTC 4H UpdateToday’s market is throwing a massive curveball, and if you aren’t playing the levels, you’re playing with fire. 📉🔥 As of January 29, 2026, Bitcoin has taken a sharp dive, sliding from its recent highs above $90,000 to test critical support around $84,700. This move is being driven by a mix of macro caution following the Fed's decision to hold rates steady and a broader rotation of capital into traditional safe havens like gold. 🔍 The Technical Breakdown (BTC/USDT 4H & 1H) The Breakdown: We’ve officially lost the $88,000 support. On the 1H chart, we saw a vertical drop that sliced right through our previous consolidation zones. The "Blood in the Streets" Zone: I’m watching the $83,786 – $84,408 range very closely. If we lose this level, the next major "X" on the map is all the way down at $80,600. The Recovery Path: To even talk about a bull case, we need to reclaim $86,355 and turn it back into support. Only a reclaim of $90,592 puts us back on the path to the $95k–$97k liquidity targets. ⚠️ My Game Plan The Senate Agriculture Committee just advanced a major crypto market structure bill, which is a massive long-term win, but right now, the "risk-off" sentiment is king. Don't catch falling knives—wait for the 4H candle to show clear buyer absorption at these lower levels. #Bitcoin #BTC #CryptoTrading #TechnicalAnalysis #TradingView #Web3 #FOMC #BTCUSD
by OxSturdy
BTC 4H UpdateIf you feel like the market is holding its breath, you’re right. Bitcoin is currently trapped in a tight consolidation between $88,000 and $89,000. We’re seeing a classic "calm before the storm" as the market processes the latest Fed signals. The Technical Blueprint: The Bull Scenario: A clean 4H candle close above $91,195 is our "go" signal. If we flip that level, I’m looking at $95,621 as the first target, with a potential run to clear the $97,932 liquidity. The Bear Scenario: If we lose the current local support, keep your eyes on the $86,355 level. The "safety net" demand zone sits lower at $83,786 – $84,408—if we hit that, I’m looking for aggressive buyer absorption. The Macro View: February has historically been a power month for BTC, and with institutional "dip-buying" activity still high despite the sideways price action, we are likely just shaking out the weak hands before the real Q1 trend begins. #Bitcoin #BTC #CryptoTrading #TechnicalAnalysis #TradingView #Web3 #FOMC
Long
by OxSturdy
BTCUSD 4H –Demand-to-Resistance Reversal Setup (Structured Long)Market Context BITSTAMP:BTCUSD is currently reacting from a 4H demand zone after a sharp corrective move from the recent swing high. Price has printed a clear liquidity sweep below prior lows and is now attempting a reclaim of short-term structure. Technical Breakdown Strong 4H Demand (D) holding near the 88.9k–89.2k region Clear reaction + displacement from demand, suggesting active buyers Price is attempting to reclaim the 4H resistance flip zone (R) EMA ribbon compression followed by early expansion → momentum shift Structure aligns with a mean reversion → continuation move Trade Plan (Illustrative) Entry: On confirmation above 4H resistance / demand retest hold Invalidation: Below demand zone low TP1: ~93.4k (first opposing structure / imbalance fill) TP2: ~97.7k (daily resistance / premium zone) R:R remains favorable as long as demand holds and structure is respected Bias Neutral → Bullish while price holds above demand Failure to hold demand invalidates the setup and opens downside continuation Notes This is a structure + supply/demand based idea, not a prediction Best confirmation comes from lower timeframe acceptance and volume expansion News events may increase volatility—manage risk accordingly 📌 This idea is for educational purposes only. Always manage risk and wait for confirmation.
BITSTAMP:BTCUSD
by Shibi_N