Bitcoin’s resilience amid macroeconomic fluctuations raises optimism for a target of $100,000 as long-term holders increase their positions. Despite significant sell-offs in traditional markets, Bitcoin demonstrates a robust divergence, signaling
Market shakeout: Is Bitcoin eyeing $100k amid macro deleveraging cycle?
Solana continues to face mounting selling pressure as it struggles to reclaim the $150 level, with broader market uncertainty weighing heavily on price action. Down nearly 60% from its all-time high, Solana reflects the weakness seen across the crypto sector, where fear and volatility have returned to dominate investor sentiment. As macroeconomic instability and risk-off behavior persist, bulls have been unable to regain control, and confidence remains shaky. Related Reading: Dogecoin Faces Make-Or-Break Support Level – Will DOGE Hold? Top crypto analyst Ali Martinez recently shared an important technical analysis, identifying $120 as a critical make-or-break zone for Solana. According to Martinez, this level has historically marked major shifts in SOL’s price trajectory, often acting as the tipping point between recovery and further decline. With Solana now hovering dangerously close to this threshold, traders are watching closely to see whether it can hold or break. If $120 fails to act as support, it could trigger a deeper correction. On the flip side, holding this level could offer bulls a base to mount a potential comeback — especially if market conditions stabilize. For now, Solana remains in a vulnerable position, and how it behaves around this key level may define its direction in the weeks ahead. Solana Holds Critical Demand As Global Trade War Tensions Grow Solana is trading at a critical demand zone as selling pressure intensifies across the crypto market, driven by escalating global tensions and trade war fears. On Liberation Day, US President Donald Trump announced sweeping new tariffs, sparking strong responses from major economies like China. The fallout has shaken investor confidence across all markets, including crypto, where risk assets are feeling the weight of heightened uncertainty and reduced appetite. Solana (SOL) has been especially vulnerable, with price action slipping toward key support levels. Analysts warn that if current demand fails to hold, the downtrend could accelerate. The next few days will be crucial, as continued weakness into next week could confirm a bearish breakdown. Many traders are already preparing for more downside if the market doesn’t stabilize soon. Martinez recently highlighted the importance of the current support zone. According to his analysis, the $120 level is a decisive make-or-break point for Solana. This zone has historically marked major trend reversals and shifts in momentum. A failure to hold above it could lead to a deeper correction, while a bounce from this level could spark a recovery. With SOL already 60% down from its all-time highs, bulls are on the defensive. If they can defend $120, there’s still hope for a reversal — but losing it may signal that the broader bearish trend remains intact. In the days ahead, all eyes will be on Solana’s ability to hold the line as macro pressure continues to shape the crypto market’s direction. Related Reading: Massive Chainlink Demand Wall At $6.26 As 90K Investors Buy 376M LINK Key Weekly Support Faces Breakdown Risk Solana is currently trading at $120, on track to record its lowest weekly close since February 2024. After weeks of selling pressure and repeated rejections below the $150 level, bulls are running out of time to defend key support. The inability to reclaim $150 — a major resistance zone — has kept SOL trapped in a bearish structure, with momentum firmly in favor of the bears. For any hopes of a recovery rally to take shape, Solana must reclaim $150 in the coming days. That level remains the gateway to higher demand zones and a shift in short-term trend. However, if price action continues to weaken and $120 fails to hold, the next logical target is much lower — around the weekly 200-day MA and EMA, both converging near $95. Related Reading: Ethereum Whales Buy the Dip – Over 130K ETH Added In A Single Day This would represent a critical breakdown and likely trigger additional downside pressure, particularly if broader market conditions remain fragile. With macroeconomic uncertainty and trade war tensions weighing heavily on sentiment, Solana’s position looks increasingly vulnerable. Unless bulls step in soon, SOL could be facing a deeper retracement as it tests long-term support zones not seen since late 2023. Featured image from Dall-E, chart from TradingView
Shiba Inu (SHIB) investors know how to spot an opportunity. After riding one of the most explosive meme coin rallies in history, they’re now setting their sights on the next big thing—Lightchain AI. With an impressive $18.9 million already raised in its presale and a token price of just $0.007, Lightchain AI is quickly capturing the attention of SHIB whales and savvy early investors. So, what’s driving all this buzz? It’s the cutting-edge tech behind the project—and the huge potential for massive returns. The question is – will you seize the moment? From Memes to Machines – Why SHIB Holders Are Moving Into AI The meme coin hype was fun, but even the most loyal Shiba Inu holders are now chasing more than just community and vibes. They’re looking for innovation. Real-world utility. Scalable infrastructure. Enter Lightchain AI —a project that doesn’t just ride trends but defines them. This isn’t just another Ethereum-based altcoin. Lightchain AI merges artificial intelligence with blockchain through a revolutionary architecture built for performance, decentralization, and long-term growth. SHIB investors know potential when they see it—and this is tech they don’t want to miss. What Makes Lightchain AI So Special? Lightchain AI is changing the game by combining AI with blockchain technology to solve big challenges like scalability, governance, and privacy. With a fresh approach, it’s leading the way in creating real-world applications across industries, making blockchain more practical and widely useful. By using Directed Acyclic Graphs (DAGs), Lightchain AI removes bottlenecks in block processing, allowing for smooth, fast, and efficient transactions and AI computations. It’s smarter, faster, and way more efficient than traditional blockchain models. This isn’t just cutting-edge tech—it’s the future of infrastructure , and it’s no wonder investors are keeping a close eye on its groundbreaking potential! Why Get In Now? Timing Is Everything The Lightchain AI presale is on fire, with $18.9 million already raised and the crypto crowd buzzing. Early birds (including those savvy SHIB veterans) are snapping up $LCAI at just $0.007—talk about a steal! What makes $LCAI so spicy? Its deflationary tokenomics. Every transaction fee and AI task payment burns a slice of the supply, making the remaining tokens rarer than a mint-condition Charizard. Less supply, more potential value—sounds like a win-win. Don’t wait until it’s $0.07 or $7. Get in now and thank yourself later . https://lightchain.ai https://lightchain.ai/lightchain-whitepaper.pdf Tweets by LightchainAI https://t.me/LightchainProtocol
Cryptocurrency markets are facing losses due to low trading volumes. Billionaire Bill Ackman predicts potential growth in cryptocurrencies. Continue Reading: Will Cryptocurrencies Soar? A Bold Prediction for Monday The post Will Cryptocurrencies Soar? A Bold Prediction for Monday appeared first on COINTURK NEWS .
Billionaire investor and longtime crypto supporter Bill Ackman is betting that President Donald Trump may hit the brakes—at least temporarily—on his sweeping tariff rollout. With just hours to go before the next phase of tariffs is set to hit some of America’s largest trade partners, Ackman believes Trump might opt for a calculated pause. Trump to Delay Implementation? In a post on X dated April 5, the Pershing Square Capital Management founder noted, “One would have to imagine that President Trump’s phone has been ringing off the hook. The practical reality is that there is insufficient time for him to make deals before the tariffs are scheduled to take effect.” Trump’s executive order, signed on April 2, introduced a 10% baseline tariff on all imports, effective April 5. But harsher tariffs—targeting countries like China and Germany—are slated to begin April 9, unless Trump changes course. Ackman argues that the delay could serve a dual purpose: it would not only buy time for trade negotiations, but also help avoid an economic shock that could send companies and consumers reeling. Crypto Holds Strong as Stocks Stumble Interestingly, while traditional markets have been jittery since the announcement, crypto assets have shown surprising resilience. The U.S. stock market lost more in value during trading on April 4 than the entire crypto market’s worth. That divergence hasn’t gone unnoticed. Ackman, who voiced strong support for the crypto industry after the collapse of FTX in 2022 , now finds himself on the same page as other crypto power players. Arthur Hayes and Cameron Winklevoss—co-founders of BitMEX and Gemini, respectively—have also recently backed Trump’s trade policies , seeing them as part of a global economic shift that may favor decentralized assets. According to Ackman, Trump pausing tariffs would be a rational move economically. “The risk of not doing so is that the massive increase in uncertainty drives the economy into a recession , potentially a severe one,” he warned. With markets bracing and political pressure mounting, Ackman expects April 7 to be a pivotal moment. “One of the more interesting days in U.S. economic history,” he called it. Whether Trump pivots or powers ahead, the impact on both global trade and crypto markets could be profound. The post Bill Ackman Hints Trump Could Hit Pause on Tariffs: Details appeared first on TheCoinrise.com .
Key takeaways Grok 3 adjusts its predictions based on evolving market trends by analyzing real-time data patterns. Combining technical analysis with sentiment data improves accuracy; Grok 3 effectively identifies potential trade opportunities. Backtesting strategies before live trading is crucial; testing Grok 3’s prompts using historical data helps refine conditions and improve performance. While Grok 3 can automate trades, human oversight remains critical in adapting to unexpected market conditions. Crypto trading is complex. Prices can swing wildly, and even experienced traders struggle to keep up. That’s why automation tools are gaining attention, with many now exploring Grok 3, an advanced artificial intelligence (AI) model from xAI (founded by Elon Musk). Grok 3 wasn’t built specifically for trading, but its ability to analyze data, spot patterns and interpret trends has encouraged traders to test it for automated strategies. The idea is simple: Let Grok 3 make data-driven decisions, removing the emotional guesswork that often leads to poor trades. But does it actually work? Some traders report impressive results, while others find it unpredictable, especially in volatile markets. This article digs into what happens when you automate crypto trades with Grok 3. From successful strategies to unexpected risks, you’ll get a clear picture of what to expect, plus actionable tips to improve your results. What is Grok 3 and how does it relate to crypto trading? Grok 3 is an AI model designed by xAI, an artificial intelligence company founded by Elon Musk. While its primary focus is natural language processing, some traders are now testing Grok 3 as a potential tool for improving crypto trading strategies. Unlike traditional trading bots operating on rigid rules, Grok 3’s flexible design allows it to analyze diverse data sources and uncover patterns that might be overlooked. Why some traders are turning to Grok 3 Grok 3’s appeal lies in its ability to handle complex data, a crucial advantage in crypto markets, where price moves are often triggered by unexpected events or sentiment shifts . Here’s where traders say Grok 3 has potential: Identifying market sentiment trends: Crypto markets are heavily influenced by emotions like FOMO (fear of missing out) and FUD (fear, uncertainty, doubt). Grok 3 can analyze social media, news headlines and community discussions to assess changing sentiment, a key factor in crypto volatility. Recognizing hidden patterns: Grok 3’s machine learning capabilities allow it to detect subtle correlations between indicators that traditional bots may overlook. For instance, Grok 3 may link an increase in social sentiment with rising whale activity to predict bullish momentum. Flexible analysis based on prompts: Rather than following static rules like “Buy when RSI falls below 30,” Grok 3 enables traders to design more complex strategies using natural language instructions. What happens when Grok 3 is used to automate crypto trades? Grok 3 isn’t your typical crypto trading bot. It doesn’t place trades directly or integrate with exchanges on its own. But it can help traders build smarter, faster and more flexible automation systems. From writing trade logic to analyzing market sentiment , Grok 3 is already being used in the real world to streamline how crypto strategies are created and tested. Instead of manually scripting every piece of logic, traders are now using Grok 3 to generate working code for bots. For example, a user asked Grok 3 to write token buy/sell logic with parameters like slippage, take-profit and gas priority fees. It generated a script that can be plugged into DeFi tools or expanded with 0x and Uniswap APIs. Some traders use Grok 3 to build end-to-end bots tailored to niche tokens or specific strategies. In another example, Grok 3 was used to create an automated system that scans price action and triggers trades under strict conditions. It doesn’t just stop at buy/sell logic. Grok also writes portfolio rebalancing scripts and can simulate how positions would perform under different volatility conditions. Here is an example of a prompt fed into Grok 3, along with the output received. Grok 3’s response: High-frequency trading bot framework for Solana (SOL) Below is a structured outline for a high-frequency trading bot framework designed for Solana (SOL), focusing on one-minute price fluctuations, risk management and trade execution. This outline provides a modular structure with placeholders for key components, avoiding specific implementation details as requested. 1. Core configuration Purpose : Define global settings and constants for the bot. Components : Solana network endpoint (e.g., mainnet RPC URL) Wallet configuration (private key or keypair for trading) Trading pair (e.g., SOL/USDC) Timeframe (one-minute candlestick data) Trade size ($100 per position) Max trades (10 concurrent or sequential positions) Profit target ($50 total) Max loss per trade ($20) 2. Data acquisition module Purpose : Fetch and process real-time SOL price data. Components : WebSocket connection to Solana blockchain or exchange API (e.g., Serum, Raydium, or centralized exchange like Binance) 1-minute OHLCV (Open, High, Low, Close, Volume) data stream Data buffer for storing recent price history Error handling for connection drops or latency 3. Volatility analysis module Purpose : Assess SOL’s price volatility to inform trade decisions. Components : Placeholder: Calculate short-term volatility (e.g., standard deviation or ATR over one-minute candles) Placeholder: Define volatility thresholds (e.g., high/low volatility states) Output: Volatility score or signal to adjust trade frequency/size 4. Trade signal generator Purpose : Generate buy/sell signals based on price fluctuations. Components : Placeholder: Simple momentum strategy (e.g., price crossing a short-term moving average) Placeholder: Filter signals using volatility analysis Signal validation (e.g., avoid over-trading within one-minute window) Output: Buy/sell signal with timestamp 5. Risk management module Purpose : Enforce risk controls and position limits. Components : Position size calculator (fixed at $100 per trade) Max loss check ($20 per trade stop-loss) Total profit/loss tracker (halt at $50 profit or after 10 trades) Concurrent trade limiter (cap at 10 active positions) Emergency stop (pause bot on extreme volatility or connectivity loss) 6. Trade execution module Purpose : Execute trades on the Solana blockchain or exchange. Components : Placeholder: Build Solana transaction (e.g., swap SOL for USDC via a DEX like Raydium) Order type (market order for speed in one-minute timeframe) Slippage tolerance (e.g., 0.5% max slippage) Transaction signing and submission Confirmation listener (await transaction finality) Error handling (e.g., retry on failed execution) 7. Performance monitoring module Purpose : Track and log bot performance in real time. Components : Trade log (entry price, exit price, profit/loss, timestamp) Running total profit/loss calculator Performance metrics (e.g., win rate, average trade duration) Alert system (notify on profit target, max loss, or errors) 8. Main control loop Purpose : Orchestrate bot operations in a continuous cycle. Components : Initialize bot (load config, connect to data feed) Loop: Fetch one-minute price data Analyze volatility Generate trade signal Apply risk management checks Execute trade if conditions met Update performance metrics Exit conditions (profit target hit, max trades reached, or manual stop) 9. Shutdown and cleanup Purpose : Safely terminate the bot and finalize operations. Components : Close open WebSocket connections Finalize pending transactions Save trade log and performance summary Release resources (e.g., memory, wallet connections) Notes This framework assumes integration with Solana’s ecosystem (e.g., using a DEX or liquidity pool). Adjust the execution module if targeting a centralized exchange. Volatility analysis and signal generation are left as placeholders for customization (e.g., technical indicators or machine learning models). Risk management is strict to align with the $50 profit goal and $20 max loss per trade, ensuring the bot operates within defined boundaries. Caution! The above is a tailored outline shaped by the user’s prompt, targeting one-minute price fluctuations, risk management and trade execution. Its output varies with prompt detail, as specificity sharpens results. Moreover, placeholders like volatility analysis await user customization, reflecting Grok 3’s adaptive learning. It’s a conceptual guide, not code, and success hinges on implementation and market conditions. For deeper refinement, such as Solana-specific tweaks, users can provide more context. Grok 3 adjusts using their input and its latest insights. Let’s learn the general steps required to set up Grok 3 for automated crypto trading. How to set up Grok 3 for automated crypto trading Setting up Grok 3 for AI-powered crypto trading automation isn’t as straightforward as installing a typical trading bot. Since Grok 3 wasn’t built for direct trading, it requires thoughtful setup, integration and customization. Below is a practical guide to setting up Grok 3 effectively for automated crypto trading with AI (artificial intelligence). Step 1: Choosing a compatible trading platform Since Grok 3 doesn’t connect directly to crypto exchanges, it requires integration with third-party platforms that support API automation. Platforms like: 3Commas : Ideal for executing trades via automated strategies. TradingView : Used for generating trade signals using Pine Script. CryptoHopper : Offers custom strategy-building tools with API integration. Ensure that the chosen platform offers robust API support for managing trade execution, setting risk controls and tracking performance. Step 2: Integrating Grok 3 with the trading platform Grok 3 doesn’t connect directly to crypto exchanges; integration requires creative workarounds: API integration via automation tools: Platforms like Zapier or Make.com can connect Grok 3’s analysis to trading platforms. Custom Python scripts: For tech-savvy traders, Grok 3's insights can be processed through Python scripts that execute trades based on Grok 3’s recommendations. No-code automation tools: Services like IFTTT can trigger basic trading actions based on Grok 3’s sentiment analysis. Step 3: Defining trading strategies with Grok 3 Grok 3’s success hinges on well-defined strategies. Unlike traditional bots that rely solely on technical signals, Grok 3 crypto trading bot can combine multiple factors, including: Technical indicators: RSI, MACD, Bollinger Bands, etc. Sentiment analysis: Social media trends, influencer opinions and news headlines Onchain data: Whale activity , exchange inflows/outflows and large wallet movement. Step 4: Backtesting strategies before live trading Before deploying Grok 3’s strategy in live markets, backtesting is essential to evaluate its performance. Backtesting can reveal: Accuracy of trade signals: Identify how often Grok 3’s suggested trades align with profitable outcomes. False signal detection: Ensure Grok 3 isn’t generating excessive buy/sell recommendations in volatile or stagnant markets Refinement opportunities: Fine-tune conditions such as RSI thresholds, sentiment scores or trade exit conditions Examples of tools for backtesting include TradingView and CryptoQuant. Step 5: Implementing risk management controls Even with solid insights, crypto markets are unpredictable. Adding risk controls minimizes potential losses: Stop-loss orders: Automatically exits trades if prices move beyond a set threshold . Position limits: Restricts trade size to reduce exposure in uncertain markets. Trailing stops: Locks in profits during upward trends while minimizing downside risk. Example of risk control prompt: “Write a code to handle buying and selling a token with the given parameters, including priority fees, slippage, and a take-profit mechanism.” Please note that the output shown above is not complete and is provided for illustration purposes only. Step 6: Ongoing monitoring and strategy refinement Grok 3’s strength lies in its adaptability, but it requires ongoing monitoring to ensure optimal results. Regularly review: Performance data: Assess win rates, profit margins and signal accuracy. Market conditions: Adjust strategy if major shifts (e.g., regulatory changes or macroeconomic factors) impact sentiment or momentum. Pro tip: Revisiting Grok 3’s prompts regularly can refine strategy outcomes and improve long-term performance. Limitations of Grok 3 Despite its strengths, Grok 3 has limitations that traders must consider. Data loss: Crypto trading thrives on accurate and real-time data. However, crypto trading automation with Grok 3 has been reported to lose chunks of data, miscount words and provide incorrect time references, which can be detrimental in a fast-moving market and result in inaccurate signal detection, delayed responses to market events and flawed strategy execution. No direct exchange integration: Unlike purpose-built trading bots, Grok 3 doesn’t connect directly to crypto exchanges. Traders must rely on third-party platforms to execute trades. Forgetfulness: One of the biggest frustrations highlighted by some users is Grok 3’s “retrograde amnesia,” when it forgets everything from previous sessions. For crypto traders, this is a nightmare. Imagine building a trading strategy and needing Grok 3 to remember past trends and conversations, only for it to start fresh each session. Bias: Grok 3 may deliver biased responses, potentially relying on incomplete or skewed sources. For traders who depend on unbiased sentiment analysis to gauge market mood, this shift could lead to misleading insights and poor decision-making. Slower execution speed: Since Grok 3 processes information based on detailed prompts, its trade signals may lag behind fast-moving price changes. Prompt dependence: Grok 3’s accuracy depends heavily on well-structured prompts. Vague or incomplete instructions often produce unreliable results. While Grok-3 and other AI systems offer powerful tools for automating crypto trades, caution is essential. Their performance depends heavily on the quality of data and the strategies they’re programmed with, meaning unexpected market shifts or flawed inputs can lead to significant losses. Remember, AI lacks human intuition and may struggle with unprecedented events, so relying solely on it without oversight is risky. Always test strategies with small amounts first and get help from experts before making large investments.
Nearly 400,000 FTX users face the risk of losing $2.5 billion in potential crypto repayments unless they complete mandatory KYC verification by the new June 1 deadline. As part of
Nearly 400,000 creditors of the bankrupt cryptocurrency exchange FTX risk missing out on $2.5 billion in repayments after failing to begin the mandatory Know Your Customer (KYC) verification process. Roughly 392,000 FTX creditors have failed to complete or at least take the first steps of the mandatory Know Your Customer verification, according to an April 2 court filing in the US Bankruptcy Court for the District of Delaware. FTX users originally had until March 3 to begin the verification process to collect their claims. “If a holder of a claim listed on Schedule 1 attached thereto did not commence the KYC submission process with respect to such claim on or prior to March 3, 2025, at 4:00 pm (ET) (the “KYC Commencing Deadline”), 2 such claim shall be disallowed and expunged in its entirety,” the filing states. FTX court filing. Source: Bloomberglaw.com The KYC deadline has been extended to June 1, 2025, giving users another chance to verify their identity and claim eligibility. Those who fail to meet the new deadline may have their claims permanently disqualified. According to the court documents, claims under $50,000 could account for roughly $655 million in disallowed repayments, while claims over $50,000 could amount to $1.9 billion — bringing the total at-risk funds to more than $2.5 billion. FTX court filing, estimated claims. Source: Sunil The next round of FTX creditor repayments is set for May 30, 2025, with over $11 billion expected to be repaid to creditors with claims of over $50,000. Under FTX’s recovery plan, 98% of creditors are expected to receive at least 118% of their original claim value in cash. Related: FTX liquidated $1.5B in 3AC assets 2 weeks before hedge fund’s collapse How FTX users can complete KYC Many FTX users have reported problems with the KYC process. However, users who were unable to submit their KYC documentation can resubmit their application and restart the verification process, according to an April 5 X post from Sunil, FTX creditor and Customer Ad-Hoc Committee member. FTX KYC portal. Source: Sunil Impacted users should email FTX support (support@ftx.com) to receive a ticket number, then log in to the support portal, create an account, and re-upload the necessary KYC documents. Related: Crypto trader turns $2K PEPE into $43M, sells for $10M profit FTX’s Bahamian subsidiary, FTX Digital Markets, processed the first round of repayments in February , distributing $1.2 billion to creditors. The crypto industry is still recovering from the collapse of FTX and more than 130 subsidiaries launched a series of insolvencies that led to the industry’s longest-ever crypto winter , which saw Bitcoin’s ( BTC ) price bottom out at around $16,000. While not a “market-moving catalyst” in itself, the beginning of the FTX repayments is a positive sign for the maturation of the crypto industry, which may see a “significant portion” reinvested into cryptocurrencies, Alvin Kan, chief operating officer at Bitget Wallet, told Cointelegraph. Magazine: XRP win leaves Ripple a ‘bad actor’ with no crypto legal precedent set