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How to use ChatGPT to predict crypto market trends

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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 analysis

While 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 conclusions

Step 1: Gathering data for analysis

When 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 analysis

When 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 preparation

To 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 prompts

Effective 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 analysis

Here 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 quality

If 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 conclusions

Insights 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 insights

To 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 insights

Once 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 predictions

While 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 trends

As 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 insights

This 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.

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Stablecoin rules needed in US before crypto tax reform, experts say

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United States cryptocurrency regulations need more clarity on stablecoins and banking relationships before lawmakers prioritize tax reform, according to industry leaders and legal experts.

“In my view, tax isn’t necessarily the priority for upgrading US crypto regulation,” according to Mattan Erder, general counsel at layer-3 decentralized blockchain network Orbs.

A “tailored regulatory approach” for areas including securities laws and removing “obstacles in banking” is a priority for US lawmakers with “more upside” for the industry, Erder told Cointelegraph.

“The new Trump administration is clearly all in on crypto and is taking steps that we could have only dreamed about a few years ago (including during his first term),” he said. “It seems likely that crypto regulation will be able to have it all and get much more clear and rational regulation in all areas, including tax.”

Still, Erder noted there are limits to what President Donald Trump can accomplish through executive orders and regulatory agency action alone. “At some point, the laws themselves will need to change, and for that, he will need Congress,” he said.

Trump’s March 7 executive order, which directed the government to establish a national Bitcoin reserve using crypto assets seized in criminal cases, was seen as a signal of growing federal support for digital assets.

Related: Trump turned crypto from ‘oppressed industry’ to ‘centerpiece’ of US strategy

Debanking concerns remain

Despite the administration’s recent pro-crypto moves, industry experts say crypto firms may continue to face difficulties with banking access until at least January 2026.

“It’s premature to say that debanking is over,” as “Trump won’t have the ability to appoint a new Fed governor until January,” Caitlin Long, founder and CEO of Custodia Bank, said during Cointelegraph’s Chainreaction daily X show.

The Crypto Debanking Crisis: #CHAINREACTION https://t.co/nD4qkkzKnB

— Cointelegraph (@Cointelegraph) March 21, 2025

Industry outrage over alleged debanking reached a crescendo when a June 2024 lawsuit spearheaded by ​​Coinbase resulted in the release of letters showing US banking regulators asked certain financial institutions to “pause” crypto banking activities.

Related: Bitcoin may benefit from US stablecoin dominance push

Stablecoin legislation could unlock new growth

David Pakman, managing partner at crypto investment firm CoinFund, said a stablecoin regulatory framework could encourage more traditional finance institutions to adopt blockchain-based payments.

“Some of the potentially soon-to-pass legislation in the US, like the stablecoin bill, will unlock many of the traditional banks, financial services and payment companies onto crypto rails,” Pakman said during Cointelegraph’s Chainreaction live X show on March 27.

“We hear this firsthand when we talk to them; they want to use crypto rails as a lower-cost, transparent, 24/7, and no middleman-dependent network for transferring money.”

The comments come as the industry awaits progress on US stablecoin legislation, which may come as soon as in the next two months, according to Bo Hines, the executive director of the president’s Council of Advisers on Digital Assets.

The GENIUS Act, an acronym for Guiding and Establishing National Innovation for US Stablecoins, would establish collateralization guidelines for stablecoin issuers while requiring full compliance with Anti-Money Laundering laws.

Magazine: SEC’s U-turn on crypto leaves key questions unanswered

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Vitalik Buterin meows at a robot, and the crypto world loses it

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A video of Ethereum co-founder Vitalik Buterin kneeling in front of a robot and seemingly letting out a “meow” sound has gone viral — and, as usual, the crypto industry is already speculating what it might mean for Ether’s future.

“The future of Ethereum is in this man’s hands… Meow,” crypto influencer Wendy O said in a March 29 X post. Cork Protocol co-founder Phil Fogel shared the video and commented that “so much” of his professional life and net worth depend on Buterin but reiterated that the entertaining interaction makes him “bullish.”

Community links video to Ether price speculation

Pseudonymous crypto trader Scott Crypto Warrior shared the video with his 514,300 X followers and said, “Pray for our ETH bags.”

The short clip shows Buterin on his knees, gesturing at a four-legged robot and letting out what sounds like a “meow” before patting it on the head. At the time of publication, Buterin has yet to address the video on social media himself.

Source: Rinor

Many of those commenting on the video allude to having Ether (ETH) in their portfolio, while its relative strength against Bitcoin (BTC) is at its lowest value in almost five years.

Crypto commentator, The Count of Monte Crypto said in a March 29 X post,” Sure, the man is free to do whatever he wants, why should we care, why should we care, however, the fact that a vast majority of my investment relies on this guy is making me a bit stressed.”

Pseudonymous crypto trader “sgp” said, “while Ethereum is doing -5% 1-minute candles, Vitalik is busy meowing at a robot.”

Source: Ali Bryant

Buterin’s quirky antics have always entertained the crypto industry. At Token2049 Singapore in September 2024, Buterin called out some “cringe” anthems for crypto projects and even started singing on stage, receiving a positive reaction from both the live audience and those on social media.

Meanwhile, since Ether reclaimed the $4,000 price level in December 2024, it has dropped nearly 55%.

At the time of publication, Ether is trading at $1,841, down 13.34% over the past month, according to CoinMarketCap data.

Ether is trading at $1,841 at the time of publication. Source: CoinMarketCap

Ether sitting below $2,000 has crypto trader Alex Becker convinced it is a prime long-term buying opportunity.

Related: Vitalik outlines strategy for scaling Ethereum and strengthening ETH

“I can’t fathom looking at a sub $2k ETH and thinking you’re not going to be in big profit sometime in the next 2 years. Easiest asset trade in biblical history right now,” Becker said in a March 29 X post.

Meanwhile, Castle Island Ventures’ Nic Carter recently said that Ether’s declining appeal as an investment comes from layer-2s draining value from the main network and a lack of community pushback on excessive token creation.

Magazine: Bitcoin ATH sooner than expected? XRP may drop 40%, and more: Hodler’s Digest, March 23 – 29

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Listing an altcoin traps exchanges on 'forever hamster wheel' — River CEO

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When a cryptocurrency exchange lists its first altcoin, it sets itself up for an endless cycle of launching memecoins, warns a Bitcoin-only institution executive.

“The minute an exchange adds one non-Bitcoin token, they are signing up to be on the forever hamster wheel of memecoins,” River Financial CEO Alex Leishman said in a March 29 X post. “It makes no sense to list ETH if you don’t list the tokens issued on ETH, and the same goes for Solana,” Leishman said.

River has no interest in building a “successful crypto casino”

Leishman said while there are many “successful crypto casinos,” he has no interest in building one. River Financial is a Bitcoin-only financial institution focusing on buying and selling Bitcoin (BTC).  Several companies have opted for the Bitcoin-only approach, including Swan Bitcoin, Bull Bitcoin, and decentralized exchange Bisq.

Leishman claimed that multi-asset trading platforms prioritize short-term speculation over wealth accumulation:

“The casino business model is built around maximal extraction from customers, and the Bitcoin-only model is focused on helping people build long-term wealth.” 

Critics have voiced this point before, even during the memecoin uptrend in early 2024. In April 2024, A16z chief technology officer Eddy Lazzarin said that memecoins hamper the long-term vision of crypto that has kept so many of the original builders in the space.

“At best, it looks like a risky casino,” Lazzarin said.

The memecoin market cap is down 27.94% over the past 12 months. Source: CoinMarketCap

The overall memecoin market cap has taken a significant downturn since the beginning of 2025. Since Jan. 1, the memecoin market cap has slumped almost 49% to $48.49 billion at the time of publication, according to CoinMarketCap data.

However, while altcoins have historically been more volatile than Bitcoin, offering them alongside Bitcoin has been a lucrative move for crypto exchanges and brokers. 

Related: Waiting for altcoin season? Data suggests it’s already here

On Feb. 12, Robinhood, which offers several cryptocurrencies to its customers, reported a 700% year-over-year surge in Q4 2024 cryptocurrency revenue.

Some traders seem to interpret a memecoin listing on an exchange as validation of its credibility. Among the 15 memecoins listed by crypto exchange Binance in 2024, 12 saw significant increases in value after going live on the exchange, pseudonymous onchain analyst Ai_9684xtpa said in November.

CoinGecko founder Bobby Ong recently speculated that the memecoin market might be headed toward an “extreme case of power law,” where 99.99% fail and a few rise to the top and endure.

Magazine: Arbitrum co-founder skeptical of move to based and native rollups: Steven Goldfeder

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