✔ PASS Temporal & Time-Series task_001_Q01_asof_trade_quote_matching Scaled: 1M+ Records Ordered: Yes

Tick-Level Trade Execution Matching via Native ASOF JOIN

Candidate Latency (1M Rows)
452.41 ms
(1.0x slower than golden)
Golden Latency (1M Rows)
450.01 ms
DuckDB in-memory engine
Underlying Data Volume
2,000,000 rows
83.9 MiB across 2 tables
Evaluated Model
gemini-3.8-flash-low
Gen Latency: 15.5s
✔ Correctness Verified on 1M+ Records
Candidate SQL output matches ground truth golden query across all multiset rows and numeric tolerances (tol=1e-3). Zero data skew or anti-patterns detected on full dataset scale.

1. Analytical Significance & What It Means

Scenario & Frontier Trap
Business Scenario & Problem

In algorithmic trading, every buy or sell order must be evaluated against the most recent prevailing market quote. Standard relational equality joins fail because quotes and trades happen at irregular microsecond intervals.

⚡ The Frontier Trap (Why LLMs Fail)

LLMs typically write quadratic triangular self-joins (WHERE q.ts <= t.ts) or window functions with LAG/LAST_VALUE, which create massive memory spikes on high-frequency streams.

Prompt / User Request Given to Model
In algorithmic trading, every buy or sell order must be evaluated against the most recent prevailing market quote. Standard relational equality joins fail because quotes and trades happen at irregular microsecond intervals.

Execute the required analytical SQL calculation in DuckDB.
Expected output columns: trade_id, symbol, trade_time, executed_price, shares, prevailing_quote_time, bid_price, ask_price, slippage.
Results should be ordered as specified.

2. Underlying Tables, Row Counts & Data Volume

2 Tables (2,000,000 rows • 83.9 MiB)

Production-scale fixtures loaded into the isolated DuckDB sandbox with at least 1,000,000 records per table:

📊 quotes 1,000,000 rows 42.0 MiB Data Volume
quote_time (TIMESTAMP) symbol (VARCHAR) bid_price (DOUBLE) ask_price (DOUBLE)
Data Preview (showing sample rows from 1,000,000 total rows):
# quote_time symbol bid_price ask_price
1 2026-03-01 09:30:00.100000 NVDA 850.1 850.25
2 2026-03-01 09:30:00.250000 NVDA 850.15 850.3
3 2026-03-01 09:30:00.400000 NVDA 850.2 850.35
4 2026-03-01 09:30:00.000001 NVDA 850.14 850.29
5 2026-03-01 09:30:00.000022 AAPL 850.14 850.29
6 2026-03-01 09:30:00.000044 MSFT 850.18 850.33
7 2026-03-01 09:30:00.000073 GOOGL 850.23 850.38
8 2026-03-01 09:30:00.000087 AMZN 850.11 850.26
9 2026-03-01 09:30:00.000104 TSLA 850.18 850.33
10 2026-03-01 09:30:00.000125 META 850.12 850.27
11 2026-03-01 09:30:00.000140 AMD 850.15 850.3
12 2026-03-01 09:30:00.000164 NVDA 850.18 850.33
13 2026-03-01 09:30:00.000181 AAPL 850.16 850.31
14 2026-03-01 09:30:00.000215 MSFT 850.06 850.21
15 2026-03-01 09:30:00.000229 GOOGL 850.2 850.35
📊 trades 1,000,000 rows 42.0 MiB Data Volume
trade_time (TIMESTAMP) symbol (VARCHAR) trade_id (INTEGER) executed_price (DOUBLE) shares (INTEGER)
Data Preview (showing sample rows from 1,000,000 total rows):
# trade_time symbol trade_id executed_price shares
1 2026-03-01 09:30:00.150000 NVDA 101 850.25 100
2 2026-03-01 09:30:00.300000 NVDA 102 850.3 200
3 2026-03-01 09:30:00.450000 NVDA 103 850.32 150
4 2026-03-01 09:30:00.000002 NVDA 103 850.28 165
5 2026-03-01 09:30:00.000027 AAPL 104 850.25 137
6 2026-03-01 09:30:00.000053 MSFT 105 850.23 118
7 2026-03-01 09:30:00.000063 GOOGL 106 850.28 125
8 2026-03-01 09:30:00.000082 AMZN 107 850.3 138
9 2026-03-01 09:30:00.000110 TSLA 108 850.34 90
10 2026-03-01 09:30:00.000121 META 109 850.28 199
11 2026-03-01 09:30:00.000141 AMD 110 850.3 123
12 2026-03-01 09:30:00.000166 NVDA 111 850.32 140
13 2026-03-01 09:30:00.000186 AAPL 112 850.26 134
14 2026-03-01 09:30:00.000212 MSFT 113 850.23 70
15 2026-03-01 09:30:00.000233 GOOGL 114 850.35 256

3. Graphical Query Execution Plan & Cost Bottlenecks

Physical Operator Tree (DuckDB 2.0 Profiler)

Visual flowchart of the physical execution pipeline. Operators with high relative costs (≥ 20% of query runtime or heavy latency) are visually highlighted:

Pipeline Latency Distribution (Total Plan Time: 1077.53 ms) Nodes consuming ≥ 20% of query runtime are highlighted with glowing borders
📐 PROJECTION 0.2%
Latency: 1.88 ms
Rows In/Out: 999,997
Data Vol: 68.66 MB
📁 Projections: ['#0', '__internal_...
⏳ ORDER_BY 🔥 13.2% Cost
Latency: 142.42 ms
Rows In/Out: 999,997
Data Vol: 59.13 MB
⚠️ Heavy Execution Bottleneck (13.2% of query runtime)
📐 PROJECTION 0.7%
Latency: 7.65 ms
Rows In/Out: 999,997
Data Vol: 59.13 MB
📁 Projections: ['#0', '__internal_...
📐 PROJECTION 3.1%
Latency: 33.15 ms
Rows In/Out: 999,997
Data Vol: 68.66 MB
📁 Projections: ['trade_id', 'symbo...
⚡ ASOF_JOIN 🔥 80.5% Cost
Latency: 867.14 ms
Rows In/Out: 999,997
Data Vol: 61.03 MB
⚠️ Heavy Execution Bottleneck (80.5% of query runtime)
🔍 TABLE_SCAN 1.2%
Latency: 12.68 ms
Rows In/Out: 1,000,000
Data Vol: 38.15 MB
📁 memory.main.trades
🔍 TABLE_SCAN 1.2%
Latency: 12.62 ms
Rows In/Out: 1,000,000
Data Vol: 38.15 MB
📁 memory.main.quotes
Operator Cost % Latency Processed Rows Data Volume Details / Table Status
ASOF_JOIN 80.5% 867.14 ms 999,997 61.03 MB - 🔥 BOTTLENECK
ORDER_BY 13.2% 142.42 ms 999,997 59.13 MB - 🔥 BOTTLENECK
PROJECTION 3.1% 33.15 ms 999,997 68.66 MB Projections: ['trade_id', 'symbol', 'trade_time' Normal
TABLE_SCAN 1.2% 12.68 ms 1,000,000 38.15 MB memory.main.trades Normal
TABLE_SCAN 1.2% 12.62 ms 1,000,000 38.15 MB memory.main.quotes Normal
PROJECTION 0.7% 7.65 ms 999,997 59.13 MB Projections: ['#0', '__internal_compress_string_ Normal
PROJECTION 0.2% 1.88 ms 999,997 68.66 MB Projections: ['#0', '__internal_decompress_strin Normal

4. Queries Executed (Candidate vs Golden Ground Truth)

Beautified & Syntax Highlighted
Candidate SQL Executed by gemini-3.8-flash-low (Runtime on 1M Rows: 452.41 ms)
SELECT t.trade_id,
       t.symbol,
       t.trade_time,
       t.executed_price,
       t.shares,
       q.quote_time AS prevailing_quote_time,
       q.bid_price,
       q.ask_price,
       round(t.executed_price - q.ask_price, 4) AS slippage
FROM trades t asof
JOIN quotes q ON t.symbol = q.symbol
AND t.trade_time >= q.quote_time
ORDER BY t.trade_time;
Golden Reference Ground Truth SQL (Runtime on 1M Rows: 450.01 ms)
-- Match each executed trade with the latest market quote effective at that exact microsecond

SELECT t.trade_id,
       t.symbol,
       t.trade_time,
       t.executed_price,
       t.shares,
       q.quote_time AS prevailing_quote_time,
       q.bid_price,
       q.ask_price, -- Effective slippage calculation (difference between ask and executed price)
 round(t.executed_price - q.ask_price, 4) AS slippage
FROM trades t asof
JOIN quotes q ON t.symbol = q.symbol
AND t.trade_time >= q.quote_time
ORDER BY t.trade_time;
DuckDB Fixture Setup DDL & Data Population
CREATE TABLE quotes (quote_time TIMESTAMP, symbol VARCHAR, bid_price DOUBLE,
                                                                     ask_price DOUBLE);


CREATE TABLE trades (trade_time TIMESTAMP, symbol VARCHAR, trade_id INT, executed_price DOUBLE,
                                                                                        shares INT);


INSERT INTO quotes
VALUES ('2026-03-01 09:30:00.100', 'NVDA', 850.10, 850.25),
       ('2026-03-01 09:30:00.250', 'NVDA', 850.15, 850.30),
       ('2026-03-01 09:30:00.400', 'NVDA', 850.20, 850.35);


INSERT INTO trades
VALUES ('2026-03-01 09:30:00.150', 'NVDA', 101, 850.25, 100),
       ('2026-03-01 09:30:00.300', 'NVDA', 102, 850.30, 200),
       ('2026-03-01 09:30:00.450', 'NVDA', 103, 850.32, 150);

5. Query Results & Expected Ground Truth

Tabular Comparison
Actual Candidate Output (999,997 rows × 9 cols)
# trade_id symbol trade_time executed_price shares prevailing_quote_time bid_price ask_price slippage
1 103 NVDA 2026-03-01 09:30:00.000002 850.28 165 2026-03-01 09:30:00.000001 850.14 850.29 -0.01
2 104 AAPL 2026-03-01 09:30:00.000027 850.25 137 2026-03-01 09:30:00.000022 850.14 850.29 -0.04
3 105 MSFT 2026-03-01 09:30:00.000053 850.23 118 2026-03-01 09:30:00.000044 850.18 850.33 -0.1
4 108 TSLA 2026-03-01 09:30:00.000110 850.34 90 2026-03-01 09:30:00.000104 850.18 850.33 0.01
5 110 AMD 2026-03-01 09:30:00.000141 850.3 123 2026-03-01 09:30:00.000140 850.15 850.3 0
6 111 NVDA 2026-03-01 09:30:00.000166 850.32 140 2026-03-01 09:30:00.000164 850.18 850.33 -0.01
7 112 AAPL 2026-03-01 09:30:00.000186 850.26 134 2026-03-01 09:30:00.000181 850.16 850.31 -0.05
8 113 MSFT 2026-03-01 09:30:00.000212 850.23 70 2026-03-01 09:30:00.000044 850.18 850.33 -0.1
9 114 GOOGL 2026-03-01 09:30:00.000233 850.35 256 2026-03-01 09:30:00.000229 850.2 850.35 0
10 115 AMZN 2026-03-01 09:30:00.000242 850.3 217 2026-03-01 09:30:00.000087 850.11 850.26 0.04
11 116 TSLA 2026-03-01 09:30:00.000260 850.29 110 2026-03-01 09:30:00.000104 850.18 850.33 -0.04
12 117 META 2026-03-01 09:30:00.000285 850.31 172 2026-03-01 09:30:00.000282 850.16 850.31 0
13 118 AMD 2026-03-01 09:30:00.000303 850.31 141 2026-03-01 09:30:00.000300 850.15 850.3 0.01
14 119 NVDA 2026-03-01 09:30:00.000325 850.26 60 2026-03-01 09:30:00.000321 850.14 850.29 -0.03
15 120 AAPL 2026-03-01 09:30:00.000344 850.31 128 2026-03-01 09:30:00.000343 850.13 850.28 0.03
16 121 MSFT 2026-03-01 09:30:00.000364 850.27 92 2026-03-01 09:30:00.000363 850.17 850.32 -0.05
17 122 GOOGL 2026-03-01 09:30:00.000383 850.31 223 2026-03-01 09:30:00.000229 850.2 850.35 -0.04
18 123 AMZN 2026-03-01 09:30:00.000413 850.36 164 2026-03-01 09:30:00.000409 850.2 850.35 0.01
19 124 TSLA 2026-03-01 09:30:00.000437 850.37 227 2026-03-01 09:30:00.000427 850.11 850.26 0.11
20 125 META 2026-03-01 09:30:00.000442 850.28 146 2026-03-01 09:30:00.000282 850.16 850.31 -0.03
21 126 AMD 2026-03-01 09:30:00.000460 850.29 167 2026-03-01 09:30:00.000300 850.15 850.3 -0.01
22 127 NVDA 2026-03-01 09:30:00.000482 850.28 140 2026-03-01 09:30:00.000321 850.14 850.29 -0.01
23 128 AAPL 2026-03-01 09:30:00.000508 850.25 94 2026-03-01 09:30:00.000502 850.13 850.28 -0.03
24 129 MSFT 2026-03-01 09:30:00.000528 850.33 185 2026-03-01 09:30:00.000525 850.12 850.27 0.06
25 130 GOOGL 2026-03-01 09:30:00.000541 850.28 180 2026-03-01 09:30:00.000385 850.12 850.27 0.01
Showing first 25 of 999,997 total rows.
Expected Golden Output (999,997 rows × 9 cols)
# trade_id symbol trade_time executed_price shares prevailing_quote_time bid_price ask_price slippage
1 103 NVDA 2026-03-01 09:30:00.000002 850.28 165 2026-03-01 09:30:00.000001 850.14 850.29 -0.01
2 104 AAPL 2026-03-01 09:30:00.000027 850.25 137 2026-03-01 09:30:00.000022 850.14 850.29 -0.04
3 105 MSFT 2026-03-01 09:30:00.000053 850.23 118 2026-03-01 09:30:00.000044 850.18 850.33 -0.1
4 108 TSLA 2026-03-01 09:30:00.000110 850.34 90 2026-03-01 09:30:00.000104 850.18 850.33 0.01
5 110 AMD 2026-03-01 09:30:00.000141 850.3 123 2026-03-01 09:30:00.000140 850.15 850.3 0
6 111 NVDA 2026-03-01 09:30:00.000166 850.32 140 2026-03-01 09:30:00.000164 850.18 850.33 -0.01
7 112 AAPL 2026-03-01 09:30:00.000186 850.26 134 2026-03-01 09:30:00.000181 850.16 850.31 -0.05
8 113 MSFT 2026-03-01 09:30:00.000212 850.23 70 2026-03-01 09:30:00.000044 850.18 850.33 -0.1
9 114 GOOGL 2026-03-01 09:30:00.000233 850.35 256 2026-03-01 09:30:00.000229 850.2 850.35 0
10 115 AMZN 2026-03-01 09:30:00.000242 850.3 217 2026-03-01 09:30:00.000087 850.11 850.26 0.04
11 116 TSLA 2026-03-01 09:30:00.000260 850.29 110 2026-03-01 09:30:00.000104 850.18 850.33 -0.04
12 117 META 2026-03-01 09:30:00.000285 850.31 172 2026-03-01 09:30:00.000282 850.16 850.31 0
13 118 AMD 2026-03-01 09:30:00.000303 850.31 141 2026-03-01 09:30:00.000300 850.15 850.3 0.01
14 119 NVDA 2026-03-01 09:30:00.000325 850.26 60 2026-03-01 09:30:00.000321 850.14 850.29 -0.03
15 120 AAPL 2026-03-01 09:30:00.000344 850.31 128 2026-03-01 09:30:00.000343 850.13 850.28 0.03
16 121 MSFT 2026-03-01 09:30:00.000364 850.27 92 2026-03-01 09:30:00.000363 850.17 850.32 -0.05
17 122 GOOGL 2026-03-01 09:30:00.000383 850.31 223 2026-03-01 09:30:00.000229 850.2 850.35 -0.04
18 123 AMZN 2026-03-01 09:30:00.000413 850.36 164 2026-03-01 09:30:00.000409 850.2 850.35 0.01
19 124 TSLA 2026-03-01 09:30:00.000437 850.37 227 2026-03-01 09:30:00.000427 850.11 850.26 0.11
20 125 META 2026-03-01 09:30:00.000442 850.28 146 2026-03-01 09:30:00.000282 850.16 850.31 -0.03
21 126 AMD 2026-03-01 09:30:00.000460 850.29 167 2026-03-01 09:30:00.000300 850.15 850.3 -0.01
22 127 NVDA 2026-03-01 09:30:00.000482 850.28 140 2026-03-01 09:30:00.000321 850.14 850.29 -0.01
23 128 AAPL 2026-03-01 09:30:00.000508 850.25 94 2026-03-01 09:30:00.000502 850.13 850.28 -0.03
24 129 MSFT 2026-03-01 09:30:00.000528 850.33 185 2026-03-01 09:30:00.000525 850.12 850.27 0.06
25 130 GOOGL 2026-03-01 09:30:00.000541 850.28 180 2026-03-01 09:30:00.000385 850.12 850.27 0.01
Showing first 25 of 999,997 total rows.
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