This skill helps you systematically determine whether Bitcoin has entered a bottom zone worth building a position in. Through a comprehensive evaluation of 6 on-chain and market indicators, it avoids blind "catching a falling knife" style bottom-fishing and identifies entry opportunities with higher probability.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbtc-bottom-modelExecute the skills CLI command in your project's root directory to begin installation:
Fetches btc-bottom-model from star23/day1global-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate btc-bottom-model. Access via /btc-bottom-model in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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This skill helps you systematically determine whether Bitcoin has entered a bottom zone worth building a position in. Through a comprehensive evaluation of 6 on-chain and market indicators, it avoids blind "catching a falling knife" style bottom-fishing and identifies entry opportunities with higher probability.
Use this skill when users ask the following types of questions:
For each indicator, use web_search to search for the latest data, then evaluate according to the criteria below.
What it is: RSI (Relative Strength Index) is a technical analysis tool that measures the speed and magnitude of price movements, with values ranging from 0-100. In simple terms: the lower the RSI, the more severe the recent decline and selling pressure. Here we focus specifically on the "weekly level" (i.e., using each week as one candlestick), because the weekly timeframe filters out the short-term noise of daily charts and better reflects medium- to long-term trends.
Search keywords: Bitcoin weekly RSI or BTC RSI 14 current
Bottom signal criteria:
Key interpretation: The number of times Bitcoin's weekly RSI has dropped below 30 in history can be counted on one hand (2015, late 2018, March 2020, late 2022), and each time corresponded to a major bottom. However, note that RSI can remain at low levels for a period of time — it doesn't mean "it bounces as soon as it bottoms."
What it is: After a round of panic selling, if trading volume significantly contracts (below the recent 30-day average volume), it indicates that selling pressure has been exhausted — everyone who wanted to sell has already sold. This is an important precursor to bottom formation. Volume refers to the total amount (or total value) of Bitcoin traded during a given period.
Search keywords: Bitcoin trading volume 30 day average or BTC daily volume declining
Bottom signal criteria:
Key interpretation: The hallmark of panic selling is "high-volume crash," while the hallmark of a bottom is "low-volume base building." If the price has already dropped significantly but volume has contracted, it indicates that selling momentum is weakening.
What it is: This is an on-chain indicator unique to Bitcoin.
When MVRV < 1.0, it means the market as a whole is at a loss (current market value is below the sum of everyone's cost basis), which has historically been an excellent long-term buying zone.
Search keywords: Bitcoin MVRV ratio or BTC MVRV glassnode
Bottom signal criteria:
Key interpretation: MVRV < 1 has only occurred a few times in Bitcoin's history (2011, 2015, 2018-2019, 2022), each lasting only a short period, and all were followed by enormous price increases. This is one of the most reliable cycle bottom indicators.
What it is: By analyzing the sentiment of Bitcoin discussions on social platforms such as Twitter (X), Reddit, Telegram, etc., a "fear/greed" score is calculated. Commonly used tools include Alternative.me's Fear & Greed Index, as well as various sentiment analysis tools based on natural language processing. 0 = Extreme Fear, 100 = Extreme Greed.
Search keywords: crypto fear and greed index or Bitcoin fear greed index today
Bottom signal criteria:
Key interpretation: Buffett's famous quote "Be greedy when others are fearful" applies equally to the crypto market. When social media is flooded with talk of "going to zero" or "never touching it again," it's often near the bottom. However, extreme fear can persist for weeks or even months.
What it is: Bitcoin miners need to pay electricity costs to run mining machines. When the Bitcoin price drops below a certain mining machine's mining cost, operating that machine becomes unprofitable, and miners will choose to shut down. The shutdown price of mainstream miners (such as Bitmain Antminer S19 series or the newer S21 series) forms a "natural floor" — because when a large number of miners are forced to shut down, network hashrate decreases, mining difficulty adjusts, and eventually a new equilibrium is reached.
Search keywords: Bitcoin mining cost per BTC or Bitcoin miner breakeven price or Antminer S19 shutdown price
Bottom signal criteria:
Key interpretation: The miner shutdown price adjusts with changes in electricity costs, mining machine efficiency, and network difficulty. After each halving (mining reward halved), the shutdown price rises significantly. Focus on the cost floor of the latest generation of mainstream miners, not outdated and inefficient ones.
What it is: On-chain data classifies addresses that have held Bitcoin for more than 155 days (approximately 5 months) as "Long-Term Holders" (LTH). LTH Supply Ratio = BTC held by long-term holders ÷ total circulating BTC supply. When this ratio increases, it means more and more coins are transferring from short-term traders to "diamond hands."
Search keywords: Bitcoin long term holder supply ratio or BTC LTH supply glassnode
Bottom signal criteria:
Key interpretation: Long-term holders are typically "veterans" who have experienced multiple bull and bear cycles. When they accumulate heavily at low prices, it indicates that these experienced investors believe the current price has long-term value. This is one of the most meaningful "smart money" indicators.
Count how many of the 6 indicators have triggered a bottom signal:
| Triggered Indicators | Bottom Rating | Position-Building Recommendation |
|---|---|---|
| 0-1 | ❌ Weak (Not recommended) | Wait and watch, no rush to enter |
| 2 | 🟡 Weak | Small exploratory position (5-10% of total position) |
| 3 | 🟡 Moderate | Begin building position in batches (10-20% of total position) |
| 4 | ✅ Strong | Batch position-building signal, can increase size (20-40% of total position) |
| 5 | ✅✅ Very Strong | Heavy position bottom-fishing signal (40-60% of total position) |
| 6 | 🔥 Extremely Strong (Historic bottom) | Maximize position (60-80% of total position), this opportunity is very rare |
Note: Position ratios refer to the proportion of your total funds planned for the crypto market, not your total personal assets. Please adjust according to your own risk tolerance.
Use the following structured template to output the analysis results:
# 🔍 Bitcoin Bottom-Timing Analysis Report
**Date**: [current date]
**BTC Current Price**: $[price]
## 📊 Indicator Dashboard
| Indicator | Current Value | Bottom Signal | Description |
|------|---------|---------|------|
| Weekly RSI | [value] | [Triggered/Not triggered] | [Brief description] |
| Volume Change | [relative to 30-day avg] | [Triggered/Not triggered] | [Brief description] |
| MVRV Ratio | [value] | [Triggered/Not triggered] | [Brief description] |
| Fear & Greed Index | [value] | [Triggered/Not triggered] | [Brief description] |
| Miner Shutdown Price | $[price] | [Triggered/Not triggered] | [Brief description] |
| LTH Supply Ratio | [percentage] | [Triggered/Not triggered] | [Brief description] |
## 🚦 Overall Rating
**Bottom Rating**: [Extremely Strong / Very Strong / Strong / Moderate / Weak / Not recommended]
**Triggered Indicators**: [X] / 6
## 💰 Position-Building Recommendations
[Provide specific position-building strategy based on the rating, including:]
- Recommended position ratio
- Batch entry schedule (e.g., enter in 3 batches, 1 week apart)
- Stop-loss reference level
## 📈 Historical Reference
[If multiple signals are currently triggered, mention how similar situations performed historically]
## ⚠️ Risk Disclaimer
- This model is based on historical data backtesting and does not guarantee future effectiveness
- The crypto market is extremely volatile; a "bottom" may persist for months
- Even if all indicators are triggered, prices may still drop further
- Never invest more than you can afford to lose
- DCA (dollar-cost averaging) is recommended over going all-in at once
- The above analysis is for reference only and does not constitute investment advice
If you find this skill helpful, follow the authors Ruby and Star for in-depth insights on assets, social media, education, and life in the AI era — helping you become a super individual in the age of globalization.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
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Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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Keeps context tight: btc-bottom-model is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: btc-bottom-model is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend btc-bottom-model for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: btc-bottom-model is focused, and the summary matches what you get after install.
We added btc-bottom-model from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for btc-bottom-model matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in btc-bottom-model — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
btc-bottom-model is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
btc-bottom-model reduced setup friction for our internal harness; good balance of opinion and flexibility.
btc-bottom-model fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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