DeFi Market Analysis

SkillCommerce & finance

Complete market analysis for Crypto, Forex, and Stocks with RSI, MACD, trends, and trading recommendations.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the DeFi Market Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by signal-execution-labs/forex-trading-ai-agent in skills/market-analysis/SKILL.md and read by ahel’s review.

Valuation Ratios

Pre-computed in defillama:get_protocol_metrics and defillama:get_category_metrics:

  • ps_ratio = mcap / annualised revenue. Lower = potentially undervalued relative to revenue.
  • pf_ratio = mcap / annualised fees. Lower = more fee-efficient valuation.

Growth Screening

Use *_pct_change columns for momentum analysis. Values are decimals (0.35 = +35%, -0.13 = -13%).

Available windows: *_7d_pct_change, *_30d_pct_change, *_90d_pct_change

Metrics with pct_change: tvl_base, fees_1d, revenue_1d, price, volume_dexs_1d

Sort by any pct_change column to find fastest movers.

Protocol Comparison

Use array params for side-by-side comparison in a single call:

defillama:get_protocol_metrics(
  protocol: ["aave", "compound-v3", "morpho"],
  metrics: ["tvl_base", "fees_1d", "revenue_1d", "ps_ratio"]
)

This returns one row per protocol, which is more efficient than calling once per protocol.

Category Comparison

Use defillama:get_category_metrics to compare DeFi sectors:

defillama:get_category_metrics(
  category: "Lending",
  metrics: ["tvl_base", "fees_1d", "protocol_count"]
)

Call once per category in parallel for side-by-side comparison.

Token Sector Screening

Use defillama:get_token_prices for token-level analysis:

defillama:get_token_prices(token: "coingecko:ethereum", period: "30d")

Historical Trends

Use period for trend analysis:

  • Short-term: 7d or 30d
  • Medium-term: 90d or 180d
  • Long-term: 365d
  • Custom range: start_date / end_date (YYYY-MM-DD) overrides period

Historical queries return daily data points with a date column.

Cross-Entity Analysis

Compare across entity types using parallel tool calls:

  • "ETH price vs Ethereum TVL" -> defillama:get_token_prices + defillama:get_chain_metrics
  • "Aave TVL vs AAVE token price" -> defillama:get_protocol_metrics + defillama:get_token_prices
  • "Lending vs DEX category" -> two defillama:get_category_metrics calls in parallel

Examples

Example 1: User: "Most undervalued DeFi protocols by P/S ratio" Tool call: defillama:get_protocol_metrics(sort_by: "ps_ratio asc", limit: 20, metrics: ["tvl_base", "revenue_1d", "ps_ratio", "mcap"])

Example 2: User: "Which protocols grew TVL most in last 30 days?" Tool call: defillama:get_protocol_metrics(sort_by: "tvl_base_30d_pct_change desc", limit: 10, metrics: ["tvl_base", "tvl_base_30d_pct_change"])

Example 3: User: "Compare Aave and Compound fees" Tool call: defillama:get_protocol_metrics(protocol: ["aave", "compound-v3"], metrics: ["tvl_base", "fees_1d", "revenue_1d"])

Example 4: User: "Compare Lending vs DEX fees and TVL" Tool call: defillama:get_category_metrics(category: ["Lending", "DEX"], metrics: ["tvl_base", "fees_1d", "revenue_1d"])

Example 5: User: "Aave TVL trend over 90 days" Tool call: defillama:get_protocol_metrics(protocol: "aave", metrics: ["tvl_base"], period: "90d")

Example 6: User: "Aave fees in Q1 2025" Tool call: defillama:get_protocol_metrics(protocol: "aave", metrics: ["fees_1d"], start_date: "2025-01-01", end_date: "2025-03-31")

Signals

GitHub stars
136
Forks
870
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
market-analysis
Source
github.com/signal-execution-labs/forex-trading-ai-agent
DeFi Market Analysis (market-analysis): Skill · ahel