onchaingreeks

Derive Execution Quality

Real slippage from every executed trade, by route (RFQ vs order book), size, strike and expiry.

Asset
Jan 2026Sep 202666,944 executions · Derive
Total Notional
$7.56B
66,944 executions
RFQ Share
71%
of notional · 28% of fills
Median Slippage
3.2%vs 5.4%
RFQ vs order book
Avg Fill Size
$282Kvs $46K
RFQ vs order book
Price Improvement
29%
of RFQ fills beat fair value
RFQorder book

BTC options · cheapest way to trade by size and strike

Best route (lowest median slippage) for each trade size (notional volume) × moneyness (strike ÷ spot)
Notional \ Moneyness<0.850.85–0.950.95–1.05 (ATM)1.05–1.2>1.2
<$5k
3.9%
RFQ
2.9%
RFQ
3.1%
RFQ
3.2%
RFQ
4.5%
OB
$5–25k
4.2%
RFQ
2.4%
RFQ
2.7%
RFQ
2.9%
RFQ
4.3%
RFQ
$25–100k
6.8%
OB
2.6%
RFQ
2.9%
RFQ
3.6%
RFQ
6.0%
RFQ
$100–500k
4.8%
RFQ
5.6%
RFQ
3.1%
RFQ
4.5%
RFQ
6.0%
RFQ
$500k–1m
7.3%
RFQ
12.1%
OB
3.5%
RFQ
7.4%
RFQ
3.2%
RFQ
>$1m
6.6%
RFQ
2.0%
RFQ
2.3%
RFQ
3.5%
RFQ
8.6%
RFQ

Read a cell as: “for a trade of this size on a strike this far from spot, you’d have been filled cheapest via this route, at this slippage.” Brighter = tighter. Cells need ≥8 fills to show.

Options notional

USD options notional per week · RFQ + order book
$0$150M$300M$450M$600MDec 29Feb 2Mar 9Apr 13May 18Jun 22Jul 27Aug 31

Slippage breakdown

Size = notional volume (contracts × spot) · best execution path per bucket

Source: reconstructed from Derive's public trade tape, per asset and updated continuously. Slippage = (execution price − mark) ÷ mark.