← Leaderboard · task_26811806013d431bb9fd4b15
S-EQ13-XX · ATR Volatility — plus two more hidden conditionsMarket & SignalDerived metricEquitySETHARDpublic 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. ATR(14) is the Wilder average true range over 14 sessions, expressed as a fraction of the current close. 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 $100M, ATR(14) as a fraction of price greater than 5%, turnover ratio greater than 0.002%, net margin (latest fiscal year) greater than 10%. Scope: only entities with a known value for 20-day average dollar volume, ATR(14) as a fraction of price, turnover ratio, net margin (latest fiscal year) 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.
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 set_f1
Expected / gold answer
set · 33 items
ALABAPPARMBMNRCDECOINCRDODOCNEIXFICOFTAIGLWHLHOODIRENKLACLRCXLULUMRVLMUNBISNXTONTOPCGRDDTSHOPSTRLSTXTERTSEMUIVRTWDC
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)
Model answer
set · 33 items
ALABAPPARMBMNRCDECOINCRDODOCNEIXFICOFTAIGLWHLHOODIRENKLACLRCXLULUMRVLMUNBISNXTONTOPCGRDDTSHOPSTRLSTXTERTSEMUIVRTWDC
Why this score
Gold has 33, the model returned 33: 33 correct → F1 100%. Strict pass.
gold 33 · returned 33 · correct 33 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (20)
list_metrics → search_equities → search_equities → search_equities → search_equities → run_calculation → get_market_history → get_market_history → get_market_history → get_market_history → get_market_history → get_market_history → run_calculation → get_equity_financials → run_calculation → run_calculation → run_calculation → run_calculation✗ → run_calculation → submit_answer
Model answer
set · 33 items
BMNRAPPHOODCRDOKLACFICOMRVLLRCXDOCNCDEUIALABRDDTEIXMUHLFTAIWDCARMCOINTERIRENNXTSTXNBISLULUTSEMONTOVRTSTRLGLWPCGSHOP
Why this score
Gold has 33, the model returned 33: 33 correct → F1 100%. Strict pass.
gold 33 · returned 33 · correct 33 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (17)
list_metrics → search_equities → search_equities → search_equities → search_equities → get_market_history → get_market_history → get_market_history → get_market_history → run_calculation → get_equity_financials → run_calculation → run_calculation → run_calculation → get_equity_metrics → run_calculation → submit_answer
Model answer
set · 33 items
ALABAPPARMBMNRCDECOINCRDODOCNEIXFICOFTAIGLWHLHOODIRENKLACLRCXLULUMRVLMUNBISNXTONTOPCGRDDTSHOPSTRLSTXTERTSEMUIVRTWDC
Why this score
Gold has 33, the model returned 33: 33 correct → F1 100%. Strict pass.
gold 33 · returned 33 · correct 33 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (14)
list_metrics → search_equities → search_equities → search_equities → search_equities → get_market_history → run_calculation → get_market_history → get_market_history → run_calculation → run_calculation → get_equity_financials → run_calculation → submit_answer
Model answer
set · 33 items
MULRCXARMKLACMRVLSTXWDCSHOPGLWAPPHOODVRTNBISTERALABCOINUICRDOIRENDOCNTSEMONTOBMNRSTRLFICOEIXFTAIRDDTLULUNXTCDEHLPCG
Why this score
Gold has 33, the model returned 33: 33 correct → F1 100%. Strict pass.
gold 33 · returned 33 · correct 33 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (28)
list_metrics → search_equities → search_equities → search_equities → search_equities → get_market_history → run_calculation → run_calculation → get_equity_financials → run_calculation → run_calculation → get_market_history → get_market_history → run_calculation → get_equity_financials → run_calculation → get_equity_financials → run_calculation → run_calculation → get_market_history → run_calculation → get_equity_financials → run_calculation → get_market_history → run_calculation✗ → run_calculation → run_calculation → submit_answer
Model answer
set · 33 items
ALABAPPARMBMNRCDECOINCRDODOCNEIXFICOFTAIGLWHLHOODIRENKLACLRCXLULUMRVLMUNBISNXTONTOPCGRDDTSHOPSTRLSTXTERTSEMUIVRTWDC
Why this score
Gold has 33, the model returned 33: 33 correct → F1 100%. Strict pass.
gold 33 · returned 33 · correct 33 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (13)
list_metrics → search_equities → search_equities → search_equities → search_equities → get_market_history → get_market_history → run_calculation → get_equity_financials → run_calculation → run_calculation → get_equity_financials → submit_answer
Model answer
set · 33 items
BMNRAPPHOODCRDOKLACFICOMRVLLRCXDOCNCDEUIALABRDDTEIXMUHLFTAIWDCARMCOINTERIRENNXTSTXNBISLULUTSEMONTOVRTSTRLGLWPCGSHOP
Why this score
Gold has 33, the model returned 33: 33 correct → F1 100%. Strict pass.
gold 33 · returned 33 · correct 33 · false positives 0 · missed 0
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
precision 100.0% · recall 100.0% · F1 100.0% · strict pass
Tool calls (15)
list_metrics → search_equities → search_equities → search_equities → search_equities → run_calculation → get_market_history → get_market_history → run_calculation → get_equity_financials → run_calculation → get_equity_financials → get_equity_financials → get_equity_financials → submit_answer
Model answer
set · 32 items
ALABAPPARMBMNRCDECOINCRDODOCNEIXFICOFTAIGLWHOODIRENKLACLRCXLULUMRVLMUNBISNXTONTOPCGRDDTSHOPSTRLSTXTERTSEMUIVRTWDC
Why this score
Gold has 33, the model returned 32: 32 correct, 1 missed → F1 98%. Not a strict pass.
gold 33 · returned 32 · correct 32 · false positives 0 · missed 1
precision 100.0% · recall 97.0% · F1 98.5% · not a strict pass
precision 100.0% · recall 97.0% · F1 98.5% · not a strict pass
−HL
Tool calls (29)
list_metrics → search_equities → search_equities → search_equities → search_equities → search_equities → get_market_history → get_market_history → run_calculation → search_equities → search_equities → run_calculation → run_calculation → run_calculation → get_market_history → get_market_history → get_market_history → get_market_history → run_calculation → run_calculation✗ → run_calculation → get_equity_financials → run_calculation → get_market_history → run_calculation → run_calculation → get_equity_metrics → run_calculation → submit_answer
MiniMax M3
tool calls 49
16.7not a strict pass
budget exhausted → forced answer
latency 1087.6s · cost $0.6699tool calls 49
Model answer
set · 3 items
ALABAPPARM
Why this score
Budget ran out and the answer was forced. Gold has 33, the model returned 3: 3 correct, 30 missed → F1 17%. Not a strict pass.
gold 33 · returned 3 · correct 3 · false positives 0 · missed 30
precision 100.0% · recall 9.1% · F1 16.7% · not a strict pass
precision 100.0% · recall 9.1% · F1 16.7% · not a strict pass
−BMNR−CDE−COIN−CRDO−DOCN−EIX−FICO−FTAI−GLW−HL−HOOD−IREN−KLAC−LRCX−LULU−MRVL−MU−NBIS−NXT−ONTO−PCG−RDDT−SHOP−STRL−STX−TER−TSEM−UI−VRT−WDC
Tool calls (49)
list_metrics → search_equities → search_equities → search_equities → search_equities → run_calculation → run_calculation✗ → run_calculation✗ → run_calculation → run_calculation → get_market_history → get_market_history → run_calculation → get_equity_financials✗ → get_equity_financials✗ → get_equity_financials✗ → get_equity_financials✗ → get_equity_financials✗ → 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 → list_metrics → get_equity_financials → run_calculation → get_equity_financials → get_equity_financials → get_equity_financials → run_calculation → get_equity_financials → run_calculation → run_calculation → get_equity_financials → run_calculation → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_financials → get_equity_metrics → get_equity_financials → submit_answer