ChatGPT has quietly turned into the “busiest hangout” spot on the internet. What began as a productivity tool now draws crowds like a digital piazza with more than 800 million registered users and around 125 million of them showing up daily. Average session time? Roughly 14 minutes. That’s the kind of attention Facebook hasn’t seen […]
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The narrative surrounding Ethereum’s future has fundamentally shifted, and is rapidly solidifying its role as the global, compliant settlement layer for traditional finance (TradFi). This strategic transformation is inextricably linked to the dominance of Stablecoins and the explosive growth of Tokenized Real-World Assets (RWAs). Network Effects Of Stablecoins And RWA On Ethereum In a recent post on X, the Token Terminal highlighted a key insight focusing on why Stablecoins and RWAs matter for the Ethereum market cap. To date, Stablecoins and RWAs are crucial for ETH, as the market capitalization of tokenized assets on ETH acts as the floor for ETH’s market cap. Related Reading: Ethereum’s Next Milestone: November Fork Targets Scalability And Efficiency – Details The reasoning is that as more assets are tokenized on the ETH blockchain, including the massive market of stablecoins and the growing sector of RWAs, the total value locked and secured by the network increases, and the more Ethereum’s market cap benefits. A Host and Producer of The Edge_Pod, known as DeFi_Dad, has reflected on how rewarding it feels to finally see stablecoins cementing credibility for Ethereum and the decentralized finance (DeFi). For years, explaining crypto in real life carried negative associations, which were often tied to price speculation or hype. Meanwhile, the narrative has shifted, and stablecoins have provided a clear, relatable entry point, with investors focused on investing in digital money applications using Stablecoins. However, the expert pointed out that the stablecoins are now so mainstream in the media that even government officials and traditional media are taking them seriously. Unlike Bitcoin, which many people only associate with volatile price action, stablecoins provide practical utility and a way to earn 5–10% yields on-chain. According to DeFi_Dad, most of it is built on ETH and stablecoins, which are like Fundstrat and the ChatGPT moment for crypto, a breakthrough product that clicks instantly for the masses. From there, stablecoins would become the stepping stone into DeFi yield and broader digital asset exposure. A Stronger Foundation For Future Development Amid the Ethereum advancements, the new Go-Pulse v3.3.0 has officially been released, a major rebase that is going to make the ETH network even faster and more robust. Richard Heart mentioned that the update from the old Go-Ethereum (GETH) v1.13.13 has gone all the way up to the new v1.16.3, which would deliver substantial performance and efficiency improvements. Related Reading: Ethereum On-Chain Bloodbath: Rugs And Scams Erode Retail Confidence, What To Know Heart credited ETH’s role in the process, noting that the Ethereum mainnet serves as the ultimate testing ground. By proving stability on the ETH, PulseChain is the first to integrate and is the most reliable and optimized software enhancements into its own ecosystem. Featured image from Getty Images, chart from Tradingview.com
While it’s not built for real-time calls, ChatGPT can still support smarter Bitcoin trading decisions when paired with the right data and well-crafted prompts.
OpenAI has filed a countersuit against Elon Musk, accusing the billionaire of leading a deliberate campaign to undermine the organization. The legal filing, submitted on April 9, claimed that Musk’s actions allegedly included a fake takeover bid and coordinated efforts to damage the AI firm’s reputation. According to OpenAI, these attacks intensified after ChatGPT’s massive success. The […]
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Key takeawaysTo generate crypto market insights via ChatGPT, collect accurate historical and real-time data on prices, trading volumes and market capitalization.Organize data into clear formats, such as tables with consistent date formats and labeled columns, to help ChatGPT identify patterns and trends.Use precise and focused prompts to guide ChatGPT in generating actionable insights, enhancing the relevance and clarity of its responses.Cross-check ChatGPT’s outputs with up-to-date information from reputable sources before making trading decisions to account for potential inaccuracies.Predicting crypto market trends can feel like navigating a storm — unpredictable and fast-changing. Prices can spike or crash unexpectedly due to investor sentiment, regulatory changes or sudden events such as exchange hacks. For traders, staying ahead means finding reliable ways to analyze these movements and make informed decisions.This is where ChatGPT can help. By analyzing historical data and recognizing patterns, ChatGPT offers insights that can support better decision-making. But for AI tools to deliver meaningful results, especially when using ChatGPT for crypto investments, it’s essential to follow the right process. Combining well-structured data, clear prompts and effective risk management can improve the accuracy and usefulness of its insights.This article explores practical ways of how to use ChatGPT for crypto market analysis — from collecting and organizing data to crafting effective prompts that help the model generate actionable insights.How to harness ChatGPT for crypto market analysisWhile predicting crypto trends will always have its challenges, using data-driven insights with ChatGPT can make market behavior easier to understand. With the right strategy, ChatGPT becomes a powerful tool to identify patterns, highlight emerging trends, and support smarter trading decisions.Using ChatGPT effectively for crypto analysis involves four key steps:Step 1: Gathering data for analysisStep 2: Formatting data for analysis via ChatGPTStep 3: Writing clear and effective promptsStep 4: Caution! Verify ChatGPT insights before drawing conclusionsStep 1: Gathering data for analysisWhen it comes to predicting crypto trends, data is everything. Without reliable data, even the most advanced tools like ChatGPT can deliver unreliable insights. Crypto markets are notoriously volatile, and understanding the patterns behind price movements, whale activity and investor sentiment requires trustworthy information from the right sources.The type of data required depends on the kind of analysis being performed. For example:Price analysis requires accurate records of past prices, volume and market cap trends.Whale activity analysis focuses on large investor movements and wallet behavior.Sentiment analysis relies on tracking social media discussions, influencer mentions and crowd sentiment shifts.Did you know? A study found that higher X post engagement generally correlates negatively with cryptocurrency prices, indicating that increased social media activity may precede price declines.Step 2: Formatting data for analysis via ChatGPT To predict crypto trends with ChatGPT, data must be structured in a way that highlights patterns, trends and key events. Poorly formatted data can lead to incomplete or incorrect outputs, so investing time in proper organization is crucial.Structuring data for analysisWhen formatting price data, focus on key points that reflect market trends. Include the date open price, close price and volume in chronological order to capture market movement. This article uses the Bitcoin (BTC) price data below to illustrate the process.Gaps in data are common, especially in volatile markets. Filling missing entries with estimated values, such as moving averages, can improve continuity and make analysis more accurate.For technical indicators, like the relative strength index (RSI) or the moving average convergence divergence (MACD), aligning the data with consistent timestamps is key.Sentiment data tends to be unstructured, which can make it challenging to analyze. To improve its clarity, combine sentiment scores with key dates and relevant events. For example:Data cleaning and preparationTo maximize the accuracy of ChatGPT insights, take these steps:Ensure date formats are consistent (e.g., YYYY-MM-DD) to prevent misalignment.Remove duplicates to avoid skewed data patterns.Fill missing values by interpolating trends or forward-filling where necessary.Label data clearly to provide the necessary context for ChatGPT’s interpretation.Did you know? A study found that ChatGPT’s sentiment analysis of news headlines can effectively predict daily stock returns, outperforming traditional methods.Creating well-structured prompts is key to unlocking meaningful insights from ChatGPT, especially for ChatGPT crypto analysis. Poorly written prompts can confuse the model, resulting in incomplete or irrelevant responses. Clear prompts guide ChatGPT in focusing on the right data points and generating actionable insights.Step 3: Writing clear and effective promptsEffective prompts are built around three core principles: clarity, purpose and focus. The illustrations and prompts used in this article were experimented with using ChatGPT-4o. Also, please note that ChatGPT outputs only show trimmed versions for illustration purposes. The original outputs are too long to display in full, but they provide detailed insights into each RSI dip, including exact price movements, duration and trader takeaways.Clarity: Use precise language that defines exactly what is needed. Avoid vague requests like:“Is Bitcoin bullish?”Instead, provide clear instructions with relevant details: “Analyze Bitcoin’s RSI and MACD data between December 2024 and January 2025. Identify points where both indicators aligned with bullish breakouts.”Purpose: Be specific about the outcome you expect. For example:“Summarize how Bitcoin’s social sentiment changed in December 2024 and highlight its impact on price movement.”Focus: Include relevant conditions, such as timeframes, data sources or key indicators, to ensure the analysis is targeted and relevant. For instance:“Identify instances where Bitcoin’s RSI dipped below 50 between December 2024 and January 2025. Describe how long each dip lasted and explain the resulting price movement.”Prompt examples for crypto market trend analysisHere are examples of effective prompts tailored for different types of crypto insights:Technical analysis prompt: “Analyze Bitcoin’s RSI dips below 30 from 2024 onward. Identify how long it typically took for the price to recover.”Sentiment analysis prompt: “Summarize Bitcoin sentiment trends on Reddit and Twitter throughout 2024. Identify patterns linked to price surges.”Strategy development prompt: “Create a trading strategy for Bitcoin using RSI, MACD, and whale accumulation data. Identify optimal entry and exit points.”How to improve prompt qualityIf ChatGPT’s response lacks detail or produces irrelevant insights, improving the prompt structure can enhance the outcome. Instead of rephrasing the same request, focus on adjusting the prompt’s depth, scope or context. Try these approaches for better results:Add more data references: Refer to RSI, MACD or other indicators to improve precision.Define the timeframe more clearly: Limiting the analysis period often provides sharper insights.Request comparative analysis: Asking ChatGPT to compare conditions across different timelines or trends can reveal more meaningful insights.When tested on GPT-4o, a refined prompt produced significantly better results. The basic prompt, “Analyze Bitcoin RSI data,” returned vague and incomplete insights. In contrast, an enhanced prompt — “Analyze Bitcoin’s RSI dips below 50 between December 2024 and January 2025. For each dip, identify the exact dates, duration, and the corresponding price movement. Explain whether the dips signaled trend reversals, corrections, or further declines. Additionally, provide insights in simple language, focusing on how traders can interpret these RSI movements for better decision-making in market entries and exits. Prepare a structured table summarizing each dip, including columns for date, RSI value, duration, price movement, and key insights for traders” — generated clear, actionable insights in contrast to previous output, as seen above.The below table summarizes key differences in the outputs of Prompt 1 and Prompt 2:As observed, taking the time to write clear, targeted prompts significantly improves ChatGPT’s ability to provide meaningful and actionable insights for crypto market analysis.However, results may vary as ChatGPT may not yield the same outputs all the time due to differences in prompt wording, data interpretation and inherent variability in AI-generated responses. Also, traders should cross-check insights with real-time data and multiple sources for informed decision-making.Step 4: Caution! Verify ChatGPT insights before drawing conclusionsInsights generated by ChatGPT can provide useful guidance, but verifying those insights is crucial before making investment decisions. Crypto markets are volatile, and relying solely on AI crypto market predictions without cross-referencing data may lead to poor outcomes.Verifying ChatGPT insightsTo confirm the accuracy and relevance of ChatGPT’s insights:Cross-check with trusted data sources: If ChatGPT highlights a bullish signal based on RSI trends, compare this finding with live data from platforms like TradingView, CoinGecko or Glassnode to confirm the signal’s validity.Review key market conditions: Market behavior often depends on broader economic events, news or geopolitical factors. If ChatGPT identifies a pattern, check if major events align with the prediction.Test insights on a demo account: Before applying any suggested strategy, test it in a risk-free environment using demo trading platforms to assess its effectiveness.Applying verified insightsOnce insights are verified, applying them effectively is essential:Set clear entry and exit points: If crypto trading with ChatGPT suggests a bullish breakout pattern, establish specific price points to minimize risk and secure profits.Use stop-loss orders: Protect investments by setting stop-loss points that limit potential losses if the trend reverses unexpectedly.Diversify approach: Even when ChatGPT identifies promising trends, combining insights from multiple data sources helps reduce reliance on a single prediction.Did you know? A survey by Mercer Investments in 2024 revealed that 54% of investment managers have already integrated AI into their investment processes, while over 90% are either currently using or planning to adopt AI tools.Limitations of using ChatGPT for crypto market predictionsWhile ChatGPT can be a valuable tool for analyzing market trends, it has several limitations:Lack of real-time data: ChatGPT does not have live access to market prices, trading volumes or real-time sentiment. External data sources are needed for up-to-date analysis.No predictive accuracy guarantee: ChatGPT analyzes historical patterns and sentiment but cannot predict future price movements with certainty. Market conditions can change rapidly due to unforeseen factors.Data quality dependence: The accuracy of insights depends on the quality of the input data. If outdated or biased information is provided, the analysis may be misleading.Limited understanding of market manipulation: ChatGPT cannot detect wash trading, pump-and-dump schemes or other forms of market manipulation that can influence crypto prices.No personal financial advice: ChatGPT does not provide personalized investment recommendations. Traders should combine AI-generated insights with technical analysis, fundamental research and risk management strategies.As the saying goes, “Past performance is not indicative of future results.” AI tools like ChatGPT can support decision-making, but they should never replace critical thinking. Thus, always cross-check AI-driven insights with reliable market research before making any trading decisions.The future of ChatGPT in predicting crypto market trendsAs AI technology continues to evolve, using ChatGPT for crypto forecasting is expected to become more refined and integrated with real-time data platforms. Future developments could include:Enhanced data integration: While ChatGPT cannot access live market data directly, integrating it with financial data providers like Finnhub or Polygon.io via APIs may allow real-time data retrieval. Improved prediction models: AI models are rapidly improving their ability to identify complex patterns, potentially enhancing prediction accuracy.Automated trading strategies: Future updates may enable traders to automate strategies based on ChatGPT insights, with alerts for optimal entry and exit points.While ChatGPT is already a valuable tool, its capabilities will likely expand further as AI continues to develop, providing crypto traders with even more effective analysis and strategic insightsThis article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.
Learn how to build a ChatGPT-powered AI trading bot for crypto and stocks, covering strategy selection, model training, trade execution, risk management and automation.
As an experiment, Cointelegraph asked two different AI models, OpenAI’s ChatGPT and xAI's Grok, to predict how XRP price could be affected by a spot ETF approval.
Het jaar 2025 begon optimistisch voor de cryptomarkt, een week na de jaarwisseling handelde Bitcoin bijvoorbeeld weer boven de $100.000. Op dit moment zijn investeerders echter terughoudend, maar volgens analisten is dit tijdelijk. Volgens hen kunnen we dit jaar een flinke bull run tegemoet gaan. Wij hebben ChatGPT gevraagd naar de top 3 beste crypto’s […]
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In a shocking turn of events that has stirred the tech and crypto communities, business mogul and the Chief Executive Officer (CEO) of SpaceX and Tesla, Elon Musk has issued a stark warning to tech company Apple, threatening to forbid Tesla from using Apple devices if the tech giant integrates OpenAI into its operating system. […]