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institutional-crypto

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Original

English
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Translation

Chinese

Institutional Crypto Analysis

机构加密货币分析

Analyze institutional and TradFi exposure to crypto by combining corporate holdings data, ETF flow data, and price context.
通过结合企业持仓数据、ETF资金流数据和价格背景，分析机构和TradFi对加密货币的敞口。

Workflow

工作流

Step 1 - Corporate and institutional holdings

步骤1 - 企业与机构持仓

Fetch public companies and institutions that hold crypto on their balance sheets, including market-to-NAV ratios.
defillama:get_dat_holdings
  include_mnav: true
Key fields: 
institution_slug
, 
token
, 
amount
, 
holding_usd_value
, 
mNAV
.
Sort by value to show the largest holders. Note any entities trading at a significant premium or discount to NAV (mNAV far from 1.0).
获取在资产负债表中持有加密货币的上市公司和机构数据，包括市值与资产净值（market-to-NAV）比率。
defillama:get_dat_holdings
  include_mnav: true
关键字段：
institution_slug
、
token
、
amount
、
holding_usd_value
、
mNAV
。
按价值排序展示最大持仓方，标注出任何相对于NAV存在明显溢价或折价的实体（mNAV远偏离1.0）。

Step 2 - Bitcoin ETF flows

步骤2 - Bitcoin ETF资金流向

Get recent BTC ETF inflow and outflow data.
defillama:get_etf_flows
  token: "bitcoin"
Positive flows = net buying. Negative flows = net selling.
获取近期BTC ETF的流入和流出数据。
defillama:get_etf_flows
  token: "bitcoin"
正向资金流 = 净买入，负向资金流 = 净卖出。

Step 3 - Ethereum ETF flows

步骤3 - Ethereum ETF资金流向

Get recent ETH ETF inflow and outflow data.
defillama:get_etf_flows
  token: "ethereum"
获取近期ETH ETF的流入和流出数据。
defillama:get_etf_flows
  token: "ethereum"

Step 4 - Price context

步骤4 - 价格背景

Fetch current BTC and ETH prices to contextualize the flows.
defillama:get_token_prices
  token: ["coingecko:bitcoin", "coingecko:ethereum"]
获取当前BTC和ETH价格，为资金流数据提供背景参考。
defillama:get_token_prices
  token: ["coingecko:bitcoin", "coingecko:ethereum"]

Output Format

输出格式

Present the report with these sections in order:
  1. Institutional Holdings - Top holders ranked by USD value. Include entity name, token held, amount, value, and mNAV. Call out any notable changes or premium/discount to NAV.
  2. Bitcoin ETF Flows - Recent daily/weekly flows, cumulative AUM, and trend direction. Name the top ETFs by flow.
  3. Ethereum ETF Flows - Same structure as BTC ETFs.
  4. Price Context - Current BTC and ETH prices, helping the user understand the dollar magnitude of flows.
  5. Key Takeaways - Summarize whether institutional appetite is growing or shrinking, and any notable patterns.
按以下顺序呈现报告：
  1. 机构持仓 - 按美元价值排序的顶级持仓方，包含实体名称、持有token、数量、价值和mNAV，标注任何值得注意的变化或相对于NAV的溢价/折价情况。
  2. Bitcoin ETF资金流向 - 近期日度/周度资金流、累计AUM以及趋势方向，列出资金流排名靠前的ETF产品。
  3. Ethereum ETF资金流向 - 结构与BTC ETF部分一致。
  4. 价格背景 - 当前BTC和ETH价格，帮助用户理解资金流对应的美元规模。
  5. 核心结论 - 总结机构需求是增长还是缩减，以及任何值得关注的模式。

Tips

提示

  • Sustained positive ETF flows alongside rising price = strong institutional demand.
  • An entity with mNAV >> 1 is trading at a premium to its crypto holdings (e.g., MicroStrategy often trades above NAV).
  • Compare weekly ETF flows to previous weeks to identify acceleration or deceleration in institutional buying.
  • Negative ETF flows during price dips may indicate profit-taking rather than loss of conviction if flows resume quickly.
  • Use 
    start_date
    / 
    end_date
    for custom date ranges when analyzing specific periods (e.g., 
    start_date: "2025-01-01", end_date: "2025-03-31"
    ).
  • ETF资金流持续为正同时价格上涨 = 强劲的机构需求。
  • mNAV远大于1的实体交易价格相对于其加密货币持仓存在溢价（例如MicroStrategy的交易价格经常高于NAV）。
  • 对比周度ETF资金流与前几周数据，可识别机构买入行为的加速或减速趋势。
  • 价格下跌期间出现负向ETF资金流，如果资金流很快恢复，则可能意味着获利了结，而非信心丧失。
  • 分析特定时间段时可使用
    start_date
    / 
    end_date
    自定义日期范围（例如 
    start_date: "2025-01-01", end_date: "2025-03-31"
    ）。