RWA · Commodity perp
| Venue | Atlas ID | Price | 24h | Open interest | Funding | Basis, bps | Spread, bps | Top depth | Buy/sell |
|---|---|---|---|---|---|---|---|---|---|
| Binance | perpetual-XAG-USDT:USDT | 49.240 | -5.74% | $295.6M | +0.0043% | +5.60 | 1.96 | $456.5K | 0.90 |
| Hyperliquid | perpetual-XYZ:SILVER-USDC:USDC | 49.168 | -5.72% | $216.0M | +0.0060% | +12.0 | 0.20 | $28.6K | 0.85 |
| OKX | perpetual-XAG-USDT:USDT | 49.250 | -5.72% | $60.6M | +0.0510% | +10.2 | 1.96 | $135.4K | 0.83 |
pip install "aperiodic[polars]"from datetime import date
from aperiodic import get_metrics
# Silver (XAG), `l1_liquidity`, hourly, on 3 venues
for exchange, symbol in [
("binance-futures", "perpetual-XAG-USDT:USDT"),
("hyperliquid-perps", "perpetual-XYZ:SILVER-USDC:USDC"),
("okx-perps", "perpetual-XAG-USDT:USDT"),
]:
df = get_metrics(
api_key="YOUR_API_KEY",
metric="l1_liquidity",
exchange=exchange,
symbol=symbol,
interval="1h",
timestamp="exchange",
start_date=date(2026, 9, 30),
end_date=date(2026, 10, 30),
)
print(exchange, df.head())Read https://aperiodic.io/start.md and follow it. Then, for the Silver (XAG) perps on Binance, Hyperliquid and OKX over the last 30 days: which venue is cheapest to trade it on, and when (`l1_liquidity`, `slippage`)?