crypto-trading-advisor

0xrikt/crypto-skills · updated Apr 8, 2026

$npx skills add https://github.com/0xrikt/crypto-skills --skill crypto-trading-advisor
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summary

Confirm the big picture first, then zoom into the specific token. When the market is weak, discount any bullish individual token analysis.

skill.md

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.651 reviews
  • Hassan Malhotra· Dec 28, 2024

    We added crypto-trading-advisor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Huang· Dec 24, 2024

    I recommend crypto-trading-advisor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aisha Sanchez· Dec 20, 2024

    Keeps context tight: crypto-trading-advisor is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Shah· Dec 12, 2024

    crypto-trading-advisor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Dec 8, 2024

    Useful defaults in crypto-trading-advisor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amelia Nasser· Dec 8, 2024

    crypto-trading-advisor reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Rahul Santra· Nov 27, 2024

    crypto-trading-advisor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Noah Patel· Nov 27, 2024

    crypto-trading-advisor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amelia Torres· Nov 15, 2024

    Solid pick for teams standardizing on skills: crypto-trading-advisor is focused, and the summary matches what you get after install.

  • Hassan Khanna· Nov 11, 2024

    Registry listing for crypto-trading-advisor matched our evaluation — installs cleanly and behaves as described in the markdown.

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