ChatGPT Prompts for Bitcoin Analysis: On-Chain, Technical, and Macro
ChatGPT prompts for Bitcoin market analysis. On-chain metrics interpretation, macro cycle positioning, and BTC price thesis development frameworks.
The Prompt
Act as a Bitcoin analyst with deep expertise in on-chain data interpretation and macro cycle analysis.
Build a Bitcoin market analysis for:
Current BTC price: {current price}
On-chain data available: {paste any metrics you have — MVRV, NUPL, exchange flows, miner data — or "none"}
Macro context: {Fed policy, USD strength, equity market conditions, recent news}
Cycle position: {days after halving: {X} / market cycle stage: {early bull / mid bull / late bull / bear / accumulation}}
Your time horizon: {short-term 1-4 weeks / medium-term 1-6 months / long-term 1-3 years}
Thesis direction: {bullish / bearish / neutral — or "derive from data"}
Analysis framework:
1. Cycle positioning assessment (where are we in the 4-year halving cycle? Evidence from on-chain and price)
2. On-chain health score (1-10) with interpretation of the metrics provided
3. Macro tailwinds/headwinds (3 specific macro factors affecting BTC right now)
4. Technical structure (key support/resistance levels, current trend structure)
5. Sentiment analysis (what the crowd is thinking — and why that's a contrarian signal or confirmation)
6. Price scenario map:
- Bull case: price target + catalyst required
- Base case: expected range + timeline
- Bear case: key levels to watch + invalidation trigger
7. Key risk events (upcoming events that could significantly move price — dates + potential impact)
Constraints:
- Not financial advice — for educational analysis only
- All claims must be qualified by the data available — don't extrapolate beyond the inputs
- Contrarian framing on sentiment must be explicit — extreme greed does not always precede a crash
- Price scenarios must include specific price levels, not vague directional statements
Variables to fill in
-
{current BTC price}The current Bitcoin price -
{on-chain data}Any metrics you have (MVRV, NUPL, exchange flows) — or 'none' -
{macro context}Fed policy, USD strength, equity conditions, recent news -
{cycle position}Days after halving and current market stage -
{time horizon}Short-term weeks, medium-term months, or long-term years
How to use this prompt
- Paste current on-chain data from Glassnode or CryptoQuant into the prompt for metric-specific analysis
- Use the price scenario map to define your entry and exit levels in advance
- Re-run this prompt weekly during high-volatility periods to update your analysis
- Use the key risk events to set calendar reminders before major macro events (FOMC, CPI, halving)
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Pair this prompt with the Free BTC AI Predictor for live market context.
The halving cycle is a probabilistic tool, not a certainty
Bitcoin’s 4-year halving cycle has provided a useful macro framework for three complete cycles. But each cycle is different — influenced by macro conditions, institutional adoption, ETF flows, and regulatory events that didn’t exist in previous cycles. The cycle positioning assessment in this prompt uses the cycle as context, not as a prediction.
On-chain metrics are a leading indicator — with lag
Metrics like MVRV (Market Value to Realized Value) and NUPL (Net Unrealized Profit/Loss) have historically preceded market tops and bottoms by weeks to months. The lag makes them useful for strategic positioning but not for tactical entry timing. This prompt’s on-chain health score gives you cycle positioning context, not day-trading signals.
Scenario maps prevent reactive decision-making
The most expensive trading decisions are reactive ones — panic-selling at a bottom or FOMO-buying at a top. Defining your bull, base, and bear scenarios with specific price levels and catalysts before the move happens gives you a decision framework that doesn’t depend on your emotional state in the moment. This prompt generates that framework.
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