institutional-crypto

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

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:

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.
Bitcoin ETF Flows - Recent daily/weekly flows, cumulative AUM, and trend direction. Name the top ETFs by flow.
Ethereum ETF Flows - Same structure as BTC ETFs.
Price Context - Current BTC and ETH prices, helping the user understand the dollar magnitude of flows.
Key Takeaways - Summarize whether institutional appetite is growing or shrinking, and any notable patterns.

按以下顺序呈现报告：

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。
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。
Ethereum ETF资金流向 - 结构与BTC ETF部分一致。
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。
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"
```
）。