Crypto trading analysis advisor. Triggers when users ask whether a token is worth trading, if a position can be taken, or for trend analysis. Provides high-value data sources and professional trading principles. Trigger phrases include "should I trade", "can I long/short", "is it a good setup", "trade recommendation", "can I enter here", "what's the play" etc.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add NeverSight/skills_feed --skill crypto-trading-advisor --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: crypto-trading-advisor
description: Crypto trading analysis advisor. Triggers when users ask whether a token is worth trading, if a position can be taken, or for trend analysis. Provides high-value data sources and professional trading principles. Trigger phrases include "should I trade", "can I long/short", "is it a good setup", "trade recommendation", "can I enter here", "what's the play" etc.
---
# Crypto Trading Advisor
## High-Value Data Sources
### Market Sentiment & Macro
| Data | Source | Query |
|------|--------|-------|
| Fear & Greed Index | Alternative.me | `crypto fear greed index` |
| Stablecoin Supply/Flows | DefiLlama | `site:defillama.com stablecoins` |
| Macro Calendar | CoinGlass | `crypto events calendar` |
### Derivatives & Funding Data
| Data | Source | Query |
|------|--------|-------|
| Funding Rate/OI/Long-Short Ratio | Coinglass | `[token] funding rate coinglass` |
| Liquidation Heatmap | Coinglass / Hyblock | `[token] liquidation heatmap` |
| Options Data (Max Pain/PCR) | Deribit / Coinglass | `BTC options max pain` |
### On-Chain Data
| Data | Source | Query |
|------|--------|-------|
| TVL (Chains/Protocols) | DefiLlama | `site:defillama.com [chain/protocol]` |
| Exchange Netflow | CryptoQuant / Glassnode | `[token] exchange netflow` |
| Whale Movements | Whale Alert / Arkham | `[token] whale movement` |
| Token Unlock Schedule | Token Unlocks | `[token] token unlock schedule` |
| Protocol Revenue | Token Terminal | `[protocol] revenue token terminal` |
| Staking Data | Staking Rewards | `[token] staking rate` |
| Gas / Chain Activity | Etherscan / Block Explorers | `[chain] gas tracker` |
### Social & Sentiment
| Data | Source | Query |
|------|--------|-------|
| Social Volume | LunarCrush | `[token] lunarcrush` |
| Search Trends | Google Trends | `[token] google trends` |
---
## Trading Principles
### Analysis Order
```
Macro Environment → Funding/Derivatives Data → On-Chain Data → News → Technicals
```
Confirm the big picture first, then zoom into the specific token. When the market is weak, discount any bullish individual token analysis.
### Signal Priority
1. **On-chain anomalies** — Large transfers, unusual exchange flows often front-run price
2. **Extreme funding rates** — Extreme positive/negative rates often precede reversals
3. **Major news** — Can invalidate any technical setup
4. **Technicals** — Only relevant when the above three show no anomalies
### Contrarian Checkpoints
- Extreme positive funding + everyone bullish → Watch for long squeeze
- Extreme negative funding + extreme fear → Potential short squeeze setup
- Social volume spike + retail FOMO → Often near local top
- Zero interest + on-chain accumulation signals → Potential opportunity
### Liquidity Red Lines
- 24h volume < $1M → Liquidity warning, size down or skip
- Only listed on small exchanges → High risk
- Bid-ask spread > 1% → Proceed with caution
### Position Sizing & Risk Management
- Confidence determines size: High = 80-100%, Medium = 50-70%, Low = 20-30% or sit out
- Max loss per trade: 2-5% of total capital
- Scale in/out, don't go all-in
- Daily timeframe thesis → daily timeframe stop loss
### Cognitive Bias Self-Check
After analysis, ask yourself:
- Am I only seeing evidence that supports my view?
- Am I anchored to a specific price?
- If I had no position, would I enter here?
---
## Output Principles
1. **Lead with the conclusion** — Answer "should I trade this?" upfront, don't make users read everything first
2. **Layer the information** — Key conclusion and data first, detailed analysis below; dig deeper only if interested
3. **Visuals over text** — Charts over tables, tables over paragraphs; use emoji to enhance readability
4. **Be specific with data** — Don't say "fear/greed is elevated", say "Fear/Greed at 72 (Greed)"; don't say "recent outflows", say "7-day net outflow $142M"
5. **Make risks concrete** — Don't just say "manage risk", say "invalidated below $XX" or "reassess if XX happens"
6. **Adapt to the environment** — Use interactive charts and cards if rich output is supported; use ASCII visualization or structured emoji in plain text
7. **Talk like a trader** — Concise, direct, opinionated; no "based on our analysis" or "in conclusion" fluff; have a take, but back it with data
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