mcpField
C
crypto-trading-advisor

crypto-trading-advisor

github.com/0xriktData & databases18416 installsUpdated 40w ago
Repository

About crypto-trading-advisor

A crypto-trading analysis skill for traders that organizes market, derivatives, on-chain, and social data into a risk-aware assessment. It emphasizes analysis order, contrarian signals, and concrete trade risks.

Key features

  1. 01Market and macro data checklist
  2. 02Derivatives and funding signals
  3. 03On-chain and social indicators
  4. 04Liquidity and position-risk rules
  5. 05Bias checks and output guidance

Use cases

  1. 01Assessing a token before a trade
  2. 02Checking squeeze and sentiment signals
  3. 03Reviewing liquidity and position size

Install

Copy the command and run it in a terminal.

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

After installing, type/crypto-trading-advisorin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

crypto-trading-advisor.skill
LICENSE
package.json
README.md
bin/
index.js

Details

From the project README

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

Comments

Markdown supported