Hello everyone, ask yourself, how do you usually use ChatGPT, Claude, or Grok to trade coins?
Do you often throw a line into the chat box like: 'What do you think of today’s Ethereum market?' or 'Help me analyze if Aave is a good coin?' What’s the result? The AI spits out a long string of bland, extremely correct nonsense like Wikipedia.
After reading this, you cursed: 'AI really doesn’t understand cryptocurrency!'
Is it really like this? In fact, there is no problem with the model or the computing power; the issue lies in your 'questioning logic'. Vague instructions will only produce generic garbage devoid of nutrition; whereas precise, structured instructions with a research framework can directly help you filter out the next hundredfold coin password.
Today, we tell you the habits of using AI. Learn the questioning framework of Wall Street analysts, and your research efficiency will undergo a qualitative leap.
Part One: Why is the information you retrieve using AI just nonsense?
After studying the AI chat records of thousands of cryptocurrency players, an astonishing pattern was discovered. The vast majority of people's questions fall into the following two traps:
Trap One: Treating AI as a 'Quote Machine' (40% share) A typical question is: 'What is the current price of SOL?' or 'What are the top 10 protocols ranked by revenue?'. These questions do not constitute 'doing research'; they are merely looking up a dictionary. You can easily check such single data directly on market software, using AI is overkill.
Trap Two: Missing 'Context and Benchmarking' (35% share) A typical question is: 'Compare Ethereum and Solana.' AI would be confused by this question: What exactly do you want to compare? Is it the underlying code technology? Or the number of active users on the chain? Or the trading volume of meme coins on both? Without specifying concrete dimensions and timelines, AI can only provide a superficial report with no investment reference value.
How do real analysts do it?
A truly 'report-grade' question must be multi-dimensional, hypothesis-driven, and require AI to produce a clear conclusion. When you start thinking like an analyst, AI will showcase its terrifying data integration capabilities.
Part Two: The Million Dollar Value of 6 Module Puzzle Question Rules
All high-quality instructions (Prompt) that can directly lead to investment decisions must include the following 6 core modules. None can be missing:
🎯 Target: Clearly tell AI what you want to see. (Is it a specific token, a certain protocol, or the entire track?)
📊 Core Metrics: Don't let AI search blindly, specify data dimensions. (e.g., Total Locked Value, Protocol Fee Revenue, Market-to-Sales Ratio Valuation, etc.)
⏳ Timeframe: Set the observation timeline. (Are you looking at the short-term explosion over the past 30 days, or the long-term trend over the past 6 months?)
🤼 Benchmarks: The essence of investment is comparison. (Request AI to compare the target with its direct competitors or with ETH, the industry benchmark.)
🌐 Context: Define the stage. (Is it on the Ethereum mainnet or cross-chain data? What is the current macroeconomic interest rate environment like?)
💡 Mandatory Output Conclusion: Refuse to be vague. (Request AI to provide a clear 'Buy/Hold/Avoid' rating or a confidence score.)
[Combination Exercise] If we piece together these 6 modules, a perfect question would look like this:
Please analyze Project A's performance over the past 90 days (time), based on TVL, fees, revenue, and market-to-sales ratio (core metrics), and compare it horizontally with Projects B and C on the Ethereum chain (benchmarks and context). Based on the above data, please tell me which protocol is currently undervalued and worth buying (mandatory conclusion)?
Send this message to an AI connected to the internet, and it can finish in 90 seconds what would normally take you three to four hours across seven or eight data websites!
Part Three: Homework Time - 28 Practical Scenario Question Upgrades
To help you get started immediately, we have organized 8 core crypto research scenarios. Please carefully compare the significant gap between **'Retail-style Questions' and 'Institutional-level Questions'**. You can directly copy these expert commands, replace the project names, and use them today.
Scenario 1: Protocol Fundamentals Check
(💡 Explanation: TVL refers to total locked value, representing the amount of funds tied up in the project; the market-to-sales ratio is a key indicator for measuring the size of the project's valuation bubble.)
❌ Retail-style question: How is Lido doing recently?
✅ Institutional-level question: Please retrieve the TVL, fee income, actual net profit, and market-to-sales ratio data for the liquid staking protocol Lido over the past 90 days, and compare it with its direct competitors Rocket Pool and EtherFi. Tell me: which of the three has the fastest revenue growth? Which one is currently the cheapest in valuation?
Scenario 2: Token Price and Market Momentum Prediction
❌ Retail-style question: Will SOL rise next?
✅ Institutional-level question: Please use the Monte Carlo simulation algorithm (a commonly used probability forecasting model in finance) to project BTC's price trajectory over the next 60 days and list the predicted prices at the 10th, 50th, and 90th percentiles. Considering the current trading volume and momentum signals, determine whether the current dominant trend is bullish or bearish?
Scenario 3: Exploring Safe High-Yield Investment
❌ Retail-style question: Where is the highest interest for USDT stored right now?
✅ Institutional-level question: Help me filter the best USDC lending pools across the network with a TVL exceeding $50 million, no recent hacking records, and an APY (annual percentage yield) higher than 4%. Please break down its yield into 'real base interest' and 'project team out-of-pocket token subsidies,' and help me assess the risks.
Scenario 4: On-chain Capital Flow Tracking (Looking for Smart Money)
(💡 Explanation: YBS stands for Yield-Bearing Stablecoins, such as sDAI, USDe, etc., which can automatically generate interest.)
❌ Retail-style question: Where are stablecoins currently located?
✅ Institutional-level question: Track the circulating supply trend of Yield-Bearing Stablecoins (YBS) on Ethereum, Solana, Base, Tron, and BNB Chain over the past 6 months. Tell me which chain's yield-bearing stablecoin market share is growing the fastest. Where is the substantial capital currently migrating between these chains?
Scenario 5: Making Investment Decisions and Trading Combinations
(💡 Explanation: HYPE is the token of the well-known decentralized contract exchange Hyperliquid.)
❌ Retail-style question: Can I buy HYPE now?
✅ Institutional-level question: Please generate a complete trading logic analysis for Hyperliquid (HYPE): compare its fundamental valuation with dYdX and Jupiter; list the 'key catalyst events' that could explode the token price within the next 90 days; assess the selling pressure risks brought by the upcoming unlocking of its tokens. Finally, give me a clear rating of 'Buy/Hold/Avoid' and a confidence score.
Scenario 6: Monitoring the Macro Environment and Institutional Investors
(💡 Explanation: MicroStrategy is the publicly traded company that holds the most Bitcoin globally.)
❌ Retail-style question: How much money did the institutions make?
✅ Institutional-level question: Conduct a comprehensive analysis of MicroStrategy (stock code: MSTR): How much BTC does it currently hold? What is the average cost basis for its entire holding? What is the current unrealized profit and loss? Calculate how much premium its current stock market value has over its Bitcoin net asset value (mNAV)? In the current macro environment, is there a risk of this premium collapsing?
Scenario 7: Assessing the Narrative and Market Trends
❌ Retail-style question: Can I still get into RWA (Real World Asset Tokenization) now?
✅ Institutional-level question: How to assess whether the RWA track is currently in the early bonus phase or has entered the bubble maturity phase? Please argue using the following data indicators: the growth slope of TVL over the past six months, the probability of leading tokens in this track outperforming the market (ETH), the funding entry signals from Wall Street veterans like BlackRock, and the latest regulatory trends.
Scenario 8: Safety Check for Extreme Black Swans
(💡 Explanation: Doxxed means that the project team is publicly identified, making it easier to hold accountable if they run away, thus relatively safer.)
❌ Retail-style question: Will my money in this protocol get stolen?
✅ Institutional-level question: Before I deposit $100,000 into the Euler protocol on Ethereum, please conduct an extreme risk stress test: review its smart contract audit history and past vulnerabilities; assess whether its reliance on external oracles (price feed tools) poses a single point of failure risk; verify whether its core development team is identified (Doxxed) or anonymous? If a perfect score is 100, how would you rate its security?
Part Four: Conclusion—AI cannot replace your intuition
When you begin to hand over this rigorous investment research workflow to AI, you will experience an epiphany:
AI's ability to capture massive data, benchmark competitors, and build analytical models has already formed a dimensionality reduction impact on humans. In the past, you needed to open 10 web pages and spend two to three hours on tedious work; now it only takes 90 seconds.
But please remember, AI can never decide 'what questions to ask.'
Knowing which obscure protocols are worth digging into is a human task.
Even if the data has not yet manifested, relying on intuition to sense that a certain track is gaining momentum is a human task.
Having a keen sense to detect 'this project might be falsifying data' from a set of extremely impressive data provided by AI is also a unique human wisdom.
In this era, AI is your strongest 'limbs' and 'computational center,' responsible for the heavy lifting; while you must become the 'brain' with deep judgment.
What determines whether you can make big money in this market is no longer how much information you can gather, but your **'clarity of thought.'**
Start today, and ask AI questions in a different way!
⚠️ 【Disclaimer】The content of this article is solely for the purpose of business model disassembly and technical knowledge sharing, with all data sourced from the internet. It does not constitute any investment or operational advice, nor does it assume responsibility for the authenticity of the data. Please conduct independent research and make cautious decisions.
🌹 If you enjoy this in-depth analysis, please like, follow, comment, and share! Your support is our greatest motivation for continuous output! #AI交易指南 #Aİ $BTC $ETH $BNB
