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Hyperliquid
Hyperliquid 시장 데이터, 계정 내역, 무역 리뷰.
기술 메타데이터
| 소스 | 선택 사항 - hermes skills install official/blockchain/hyperliquid로 설치 |
| 경로 | optional-skills/blockchain/hyperliquid |
| 버전 | 0.1.0 |
| 저자 | Hugo Sequier (Hugo-SEQUIER), Hermes Agent |
| 라이선스 | MIT |
| 플랫폼 | linux, macos, windows |
| 태그 | Hyperliquid, Blockchain, Crypto, Trading, Perpetuals, Spot, DeFi |
참고: 전체 SKILL.md
정보
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# Hyperliquid Skill
Query Hyperliquid market and account data through the public `/info` endpoint.
Read-only — no API key, no signing, no order placement.
12 commands: `dexs`, `markets`, `spots`, `candles`, `funding`, `l2`, `state`,
`spot-balances`, `fills`, `orders`, `review`, `export`. Stdlib only
(`urllib`, `json`, `argparse`).
---
## When to Use
- User asks for Hyperliquid perp or spot market data, candles, funding, or L2 book
- User wants to inspect a wallet's perp positions, spot balances, fills, or orders
- User wants a post-trade review combining recent fills with market context
- User wants to inspect builder-deployed perp dexs or HIP-3 markets
- User wants a normalized JSON export of candles + funding for backtesting prep
---
## Prerequisites
Stdlib only — no external packages, no API key.
The script reads `~/.hermes/.env` for two optional defaults:
- `HYPERLIQUID_API_URL` — defaults to `https://api.hyperliquid.xyz`. Set to
`https://api.hyperliquid-testnet.xyz` for testnet.
- `HYPERLIQUID_USER_ADDRESS` — default address for `state`, `spot-balances`,
`fills`, `orders`, and `review`. If unset, pass the address as the first
positional argument.
A project `.env` in the current working directory is honored as a dev fallback.
Helper script: `~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py`
---
## How to Run
Invoke through the `terminal` tool:
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py <command> [args]
```
Add `--json` to any command for machine-readable output.
---
## Quick Reference
```bash
hyperliquid_client.py dexs
hyperliquid_client.py markets [--dex DEX] [--limit N] [--sort volume|oi|funding_abs|change_abs|name]
hyperliquid_client.py spots [--limit N]
hyperliquid_client.py candles <coin> [--interval 1h] [--hours 24] [--limit N]
hyperliquid_client.py funding <coin> [--hours 72] [--limit N]
hyperliquid_client.py l2 <coin> [--levels N]
hyperliquid_client.py state [address] [--dex DEX]
hyperliquid_client.py spot-balances [address] [--limit N]
hyperliquid_client.py fills [address] [--hours N] [--limit N] [--aggregate-by-time]
hyperliquid_client.py orders [address] [--limit N]
hyperliquid_client.py review [address] [--coin COIN] [--hours N] [--fills N]
hyperliquid_client.py export <coin> [--interval 1h] [--hours N] [--output PATH]
```
For `state`, `spot-balances`, `fills`, `orders`, and `review`, the address is
optional when `HYPERLIQUID_USER_ADDRESS` is set in `~/.hermes/.env`.
---
## Procedure
### 1. Discover DEXs and Markets
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py dexs
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
markets --limit 15 --sort volume
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
spots --limit 15
```
- `--dex` only applies to perp endpoints; omit for the first perp dex.
- Spot pairs may show as `PURR/USDC` or aliases like `@107`.
- HIP-3 markets prefix the coin with the dex, e.g. `mydex:BTC`.
### 2. Pull Historical Market Data
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
candles BTC --interval 1h --hours 72 --limit 48
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
funding BTC --hours 168 --limit 30
```
Time-range endpoints paginate. For larger windows, repeat with a later
`startTime` or use `export` (below).
### 3. Inspect Live Order Book
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
l2 BTC --levels 10
```
Use when asked about book depth, near-term liquidity, or potential market
impact of a large order.
### 4. Review an Account
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
state 0xabc...
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
spot-balances
```
`state` returns perp positions; `spot-balances` returns spot inventory.
Use these for "how are my positions?", "what am I holding?", "how much is
withdrawable?".
### 5. Review Fills and Orders
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
fills 0xabc... --hours 72 --limit 25
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
orders --limit 25
```
### 6. Generate a Trade Review
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
review 0xabc... --hours 72 --fills 50
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
review --coin BTC --hours 168
```
Reports realized PnL, fees, win/loss counts, coin breakdowns, market trend
and average funding for each traded perp, plus heuristics (fee drag,
concentration, counter-trend losses).
For deeper post-trade analysis: start with `review` to find problem coins
or windows → pull `fills` and `orders` for that period → pull `candles`
and `funding` for each traded coin → judge decision quality separately
from outcome quality.
### 7. Export a Reusable Dataset
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
export BTC --interval 1h --hours 168 --output ./btc-1h-7d.json
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
export BTC --interval 15m --hours 72 --end-time-ms 1760000000000
```
Output JSON contains: schema version, source metadata, exact time window,
normalized candle rows, normalized funding rows, summary stats. Use
`--end-time-ms` for reproducible windows.
---
## Pitfalls
- Public info endpoints are rate-limited. Large historical queries may
return capped windows; iterate with later `startTime` values.
- `fills --hours ...` uses `userFillsByTime`, which only exposes a
recent rolling window — not full archive history.
- `historicalOrders` returns recent orders only; not a full export.
- The `review` command is heuristic. It cannot reconstruct intent,
order placement quality, or true slippage from fills alone.
- The `export` command writes a normalized dataset, not a backtest
engine. You still need your own slippage/fill model.
- Spot aliases like `@107` are valid identifiers even when the UI shows
a friendlier name.
- `l2` is a point-in-time snapshot, not a time series.
---
## Verification
```bash
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
markets --limit 5
```
Should print the top Hyperliquid perp markets by 24h notional volume.