DeFi Market Analysis
SkillCommerce & financeComplete market analysis for Crypto, Forex, and Stocks with RSI, MACD, trends, and trading recommendations.
Available today. Use it from your connected AI after setup.
No other account needed.
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:
7dor30d - Medium-term:
90dor180d - Long-term:
365d - Custom range:
start_date/end_date(YYYY-MM-DD) overridesperiod
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_metricscalls 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