← Leaderboard · task_043a554e464386967aae3251
S-EQ21-XX · Growth Acceleration — plus two more hidden conditionsMarket & SignalSignal detectionEquitySETHARDpublic 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. Acceleration means the latest quarter's revenue YoY growth is higher than the previous quarter's. 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 $10B, 20-day average dollar volume greater than $1B, sector equal to Basic Materials, revenue growth accelerating (latest-quarter YoY above the prior quarter's), P/E (market cap / trailing-twelve-month net income from the filings) less than 40, EMA50 above EMA200. Scope: only entities with a known value for 20-day average dollar volume, sector, revenue growth accelerating (latest-quarter YoY above the prior quarter's), P/E (market cap / trailing-twelve-month net income from the filings), EMA50 above EMA200 in the snapshot; entities lacking any of them are out of scope and must not be returned. Return every matching ticker; order does not matter. 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 set_f1

Expected / gold answer

set · 2 items
FCXNEM

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 76.5s · cost $0.0068
tool calls 6
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (6)
list_metrics → search_equities → get_market_history → get_equity_financials → run_calculation → submit_answer
DeepSeek
deepseek/deepseek-v4.1-flash
100.0strict pass
latency 26.7s · cost $0.0444
tool calls 7
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (7)
list_metrics → search_equities → get_equity_financials → get_market_history → run_calculation → run_calculation → submit_answer
Anthropic
Claude Opus 5.5
100.0strict pass
latency 31.2s · cost $0.5091
tool calls 6
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (6)
list_metrics → search_equities → get_equity_financials → get_market_history → run_calculation → submit_answer
Qwen
qwen/qwen3.8-flash
100.0strict pass
latency 104.9s · cost $0.0107
tool calls 9
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (9)
list_metrics → search_equities → search_equities → get_equity_financials → get_market_history → get_equity_financials → run_calculation → run_calculation → submit_answer
Gemini
google/gemini-3.8-flash
100.0strict pass
latency 62.2s · cost $0.0797
tool calls 10
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (10)
list_metrics → search_equities → get_market_history → get_equity_financials → run_calculation → run_calculation → run_calculation → search_equities → search_equities → submit_answer
Z.ai
z-ai/glm-5.3-flash
100.0strict pass
latency 107.0s · cost $0.0083
tool calls 6
Model answer
set · 2 items
NEMFCX
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (6)
list_metrics → search_equities → get_equity_financials → get_market_history → run_calculation → submit_answer
Grok
x-ai/grok-4.7
100.0strict pass
latency 22.9s · cost $0.1098
tool calls 6
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (6)
list_metrics → search_equities → get_equity_financials → get_market_history → run_calculation → submit_answer
Minimax
MiniMax M3
100.0strict pass
latency 72.9s · cost $0.0185
tool calls 7
Model answer
set · 2 items
FCXNEM
Why this score
Gold has 2, the model returned 2: 2 correct → F1 100%. Strict pass.
gold 2 · returned 2 · correct 2 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (7)
list_metrics → search_equities → get_equity_financials → get_market_history → get_market_history → run_calculation → submit_answer