← Leaderboard · task_4577b75d68a04425b6b9f7e4
S-EQ23-XX-N · Quality Screen (ROE + operating margin as proxies) — plus two more hidden conditions — count of matchesMarket & SignalScreeningEquityNUMBERHARDproxy of PRD S-EQ23 quality screen (ROIC, Net Debt / EBITDA)public example

Question

Fundamental ratios are not served as fields: rebuild each one from the raw SEC facts (get_equity_financials) exactly as defined in list_metrics.compute_yourself, using the latest filing at or before the data cutoff; a company whose filings lack the needed facts is out of scope. Quality here is defined as return on equity and operating margin, both for the latest reported fiscal year (v0.1 substitutes for ROIC and Net Debt / EBITDA, which are not yet in the snapshot). Find US-listed common equities (instruments without a reported market cap — warrants, units, rights, preferred series, notes — are not in the universe) with market cap greater than $50B, 20-day average dollar volume greater than $300M, sector equal to Basic Materials, return on equity (latest fiscal year) greater than 25%, operating margin (latest fiscal year) greater than 15%, 60-day return greater than 0%, turnover ratio greater than 0.002%. Scope: only entities with a known value for 20-day average dollar volume, sector, return on equity (latest fiscal year), operating margin (latest fiscal year), 60-day return, turnover ratio in the snapshot; entities lacking any of them are out of scope and must not be returned. How many entities match ALL of the conditions above? Answer with the integer count (0 if none). Filing-version policy: every financial value is taken from the LATEST filing accepted by the SEC at or before the data cutoff that reports the requested period. If a later filing (before the cutoff) restates an earlier period, the restated value is the answer; the original filing's value is not. A fiscal-year value is taken only from an annual report (10-K / 20-F / 40-F, including amendments) — a quarterly report never supplies an annual value. Rebuild policy: metrics that are not served as fields (fundamental ratios, growth rates, valuation, technical signals) must be recomputed by you from the raw facts and daily bars the tools serve, following the definitions in list_metrics.compute_yourself to the letter (period selection, latest-filing copy, quarter arithmetic); do the arithmetic with run_calculation over the fetched data. The reference answer was computed from the same facts by the same definitions.
Data as of 2026-09-10 · grader numeric_tolerance

Expected / gold answer

0 (0 count)

Computed by code from the frozen snapshot and verified by an independent recomputation before the batch was frozen. No model ever saw it.

Model answers (8)

XiaomiMiMo
xiaomi/mimo-v2.6-flash
100.0strict pass
latency 238.0s · cost $0.0071
tool calls 7
Model answer
0 (0 ratio)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (7)
list_metrics → search_equities → get_market_history → get_equity_financials → get_equity_financials → run_calculation → submit_answer
DeepSeek
deepseek/deepseek-v4.1-flash
100.0strict pass
latency 46.8s · cost $0.0501
tool calls 8
Model answer
0 (0 count)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (8)
list_metrics → search_equities → get_equity_financials → get_market_history → search_equities → get_equity_financials → run_calculation → submit_answer
Anthropic
Claude Opus 5.5
100.0strict pass
latency 25.2s · cost $0.3545
tool calls 5
Model answer
0 (0 count)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (5)
list_metrics → search_equities → get_equity_financials → get_market_history → submit_answer
Qwen
qwen/qwen3.8-flash
100.0strict pass
latency 60.5s · cost $0.0074
tool calls 7
Model answer
0 (0 count)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (7)
list_metrics → search_equities → get_market_history → get_equity_financials → search_equities → run_calculation → submit_answer
Gemini
google/gemini-3.8-flash
100.0strict pass
latency 82.8s · cost $0.0910
tool calls 15
Model answer
0 (0)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (15)
list_metrics → search_equities → get_equity_metrics → get_market_history → run_calculation → get_equity_financials → get_equity_financials → get_equity_financials → run_calculation → get_equity_financials → run_calculation → get_equity_financials → run_calculation → search_equities → submit_answer
Z.ai
z-ai/glm-5.3-flash
100.0strict pass
latency 186.8s · cost $0.0094
tool calls 8
Model answer
0 (0 USD)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (8)
list_metrics → search_equities → get_market_history → get_equity_financials → get_equity_financials → run_calculation → run_calculation → submit_answer
Grok
x-ai/grok-4.7
100.0strict pass
latency 23.1s · cost $0.1210
tool calls 8
Model answer
0 (0 shares)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (8)
list_metrics → search_equities → get_equity_financials → get_market_history → get_equity_financials → run_calculation → get_equity_financials → submit_answer
Minimax
MiniMax M3
100.0strict pass
latency 240.9s · cost $0.0368
tool calls 17
Model answer
0 (0 entities)
Why this score
Expected 0, got 0 (0% off) — within tolerance.
expected 0 · got 0 · error 0.0% · within tolerance
Tool calls (17)
list_metrics → search_equities → get_market_history → get_equity_financials → run_calculation → run_calculation → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → run_calculation → get_equity_financials → run_calculation → submit_answer