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DeFi Market Analysis

Patterns for DeFi market analysis, screening, and comparison using DefiLlama MCP tools. Covers valuation ratios (P/S, P/F), growth screening with pct_change columns, multi-metric protocol comparison, category comparison, and cross-entity analysis. Use when users ask to compare protocols, screen f...

Installable skillAGPL-3.0-onlyBy jiayaoqijiaUpdated Nov 3, 2026
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instructions.md

---
name: market-analysis-b368642f3019
description: Patterns for DeFi market analysis, screening, and comparison using DefiLlama MCP tools. Covers valuation ratios (P/S, P/F), growth screening with pct_change columns, multi-metric protocol comparison, category comparison, and cross-entity analysis. Use when users ask to compare protocols, screen for undervalued projects, analyze growth trends, or do sector analysis.
---

# DeFi Market Analysis

## 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")`

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.