crypto-trading-advisor

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.

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Install skill "crypto-trading-advisor" with this command: npx skills add 0xrikt/crypto-skills/0xrikt-crypto-skills-crypto-trading-advisor

Crypto Trading Advisor

High-Value Data Sources

Market Sentiment & Macro

DataSourceQuery
Fear & Greed IndexAlternative.mecrypto fear greed index
Stablecoin Supply/FlowsDefiLlamasite:defillama.com stablecoins
Macro CalendarCoinGlasscrypto events calendar

Derivatives & Funding Data

DataSourceQuery
Funding Rate/OI/Long-Short RatioCoinglass[token] funding rate coinglass
Liquidation HeatmapCoinglass / Hyblock[token] liquidation heatmap
Options Data (Max Pain/PCR)Deribit / CoinglassBTC options max pain

On-Chain Data

DataSourceQuery
TVL (Chains/Protocols)DefiLlamasite:defillama.com [chain/protocol]
Exchange NetflowCryptoQuant / Glassnode[token] exchange netflow
Whale MovementsWhale Alert / Arkham[token] whale movement
Token Unlock ScheduleToken Unlocks[token] token unlock schedule
Protocol RevenueToken Terminal[protocol] revenue token terminal
Staking DataStaking Rewards[token] staking rate
Gas / Chain ActivityEtherscan / Block Explorers[chain] gas tracker

Social & Sentiment

DataSourceQuery
Social VolumeLunarCrush[token] lunarcrush
Search TrendsGoogle 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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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