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Crypto Trading Advisor

  • 379 installs
  • 18 repo stars
  • Updated January 25, 2026
  • 0xrikt/crypto-skills

crypto-trading-advisor is an agent skill that structures crypto trade analysis with entries, sizing, risk limits, and exit rules for developers who need disciplined guidance while managing positions and market volatility

About

crypto-trading-advisor is a MIT-licensed skill in 0xrikt/crypto-skills that teaches agents to deliver professional cryptocurrency trading analysis instead of sentiment-only answers. It catalogs high-value data sources—funding rates, on-chain flows, TVL, whale movements, fear/greed indices—and enforces an analysis order: macro environment first, then funding and derivatives, on-chain data, news, and finally technicals. Trading principles cover signal priority, risk management, contrarian checkpoints, liquidity red lines, and cognitive bias self-checks. Output rules demand a lead conclusion, specific numeric levels, and trader-direct language with entry, stop, target, and risk-reward framing. Developers and quant builders reach for crypto-trading-advisor when wiring trading bots, portfolio assistants, or agent prompts that must fetch real market data before recommending long or short setups on assets like BTC, ETH, or SOL.

  • Frames risk-aware trade setups
  • Suggests position sizing guardrails
  • Surfaces exit and stop-loss discipline
  • Adapts guidance to changing volatility

Crypto Trading Advisor by the numbers

  • 379 all-time installs (skills.sh)
  • Ranked #297 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/0xrikt/crypto-skills --skill crypto-trading-advisor

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Listed on Skillselion
Installs379
repo stars18
Last updatedJanuary 25, 2026
Repository0xrikt/crypto-skills

How do agents analyze crypto trades with real data?

Get disciplined crypto trade guidance—entries, sizing, risk limits, and exit rules—while actively managing positions and market volatility.

Who is it for?

Developers building crypto trading agents or assistants who need a structured macro-to-technicals framework with explicit risk and sizing rules.

Skip if: Developers seeking licensed financial advice, automated exchange execution, or backtested strategy code without separate trading infrastructure.

When should I use this skill?

The user asks whether to long or short a token, requests entry and stop levels, or wants funding, on-chain, and macro context before a crypto trade decision.

What you get

Trade memos with lead conclusions, entry/stop/target levels, risk-reward ratios, and cited funding, on-chain, and sentiment data.

  • trade analysis memo
  • entry/stop/target levels
  • risk-reward assessment

Files

SKILL.mdMarkdownGitHub ↗

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

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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

Related skills

How it compares

Pick crypto-trading-advisor for live trade framing with macro and on-chain priority; pair with crypto-backtest when you need historical strategy validation.

FAQ

What analysis order does crypto-trading-advisor use?

crypto-trading-advisor analyzes macro environment first, then funding and derivatives data, on-chain metrics, news, and technicals last. Weak macro conditions discount bullish single-token reads.

What outputs does crypto-trading-advisor produce?

crypto-trading-advisor produces trader-direct memos leading with a conclusion, then specific entry, stop-loss, and target levels with risk-reward ratios. Data sources include funding rates, on-chain flows, and sentiment indicators.

Finance & Tradingfinancepricing

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