{"record":{"id":"7cdc85cd3a35b5c6","repo":"HKUDS/Vibe-Trading","slug":"spot-max-must-be-greater-than-spot-min","errorCode":null,"errorMessage":"spot_max must be greater than spot_min","messagePattern":"spot_max must be greater than spot_min","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"agent/src/tools/options_payoff_tool.py","lineNumber":313,"sourceCode":"    if not math.isfinite(numeric) or not numeric.is_integer():\n        raise ValueError(\"spot_points must be an integer\")\n    points = int(numeric)\n    if not _MIN_SPOT_POINTS <= points <= _MAX_SPOT_POINTS:\n        raise ValueError(f\"spot_points must be between {_MIN_SPOT_POINTS} and {_MAX_SPOT_POINTS}\")\n    return points\n\n\ndef _spot_bounds(kwargs: dict[str, Any], legs: list[OptionLeg], entry_spot: float) -> tuple[float, float]:\n    \"\"\"Resolve explicit chart bounds or safe defaults covering every strike.\"\"\"\n    reference = [entry_spot, *(leg.strike for leg in legs)]\n    default_min = max(min(reference) * 0.5, 0.0)\n    default_max = max(reference) * 1.5\n    spot_min = _optional_float(kwargs, \"spot_min\", default_min)\n    spot_max = _optional_float(kwargs, \"spot_max\", default_max)\n    if spot_min < 0:\n        raise ValueError(\"spot_min must be non-negative\")\n    if spot_max <= spot_min:\n        raise ValueError(\"spot_max must be greater than spot_min\")\n    return spot_min, spot_max\n\n\ndef _scenario_ivs(raw: Any, entry_iv: float) -> np.ndarray:\n    \"\"\"Resolve bounded explicit IV scenarios or the skill's five defaults.\"\"\"\n    if raw is None:\n        values = [\n            entry_iv * 0.5,\n            entry_iv * 0.75,\n            entry_iv,\n            entry_iv * 1.25,\n            entry_iv * 1.5,\n        ]\n    else:\n        if not isinstance(raw, list) or not raw:\n            raise ValueError(\"scenario_iv_values must be a non-empty array\")\n        if len(raw) > _MAX_IV_SCENARIOS:\n            raise ValueError(f\"scenario_iv_values may contain at most {_MAX_IV_SCENARIOS} entries\")","sourceCodeStart":295,"sourceCodeEnd":331,"githubUrl":"https://github.com/HKUDS/Vibe-Trading/blob/80ffdda44c5c4db0dd84d70e051cca591cea67df/agent/src/tools/options_payoff_tool.py#L295-L331","documentation":"Thrown by _spot_bounds when spot_max is not strictly greater than spot_min — equal bounds or inverted ranges produce an empty/invalid price grid. Both explicit values and pathological leg/strike combinations feeding defaults can surface here.","triggerScenarios":"spot_min=100, spot_max=100; spot_min=120, spot_max=80; or computed defaults collapsing when all strikes equal entry_spot and multipliers yield equal bounds via bad overrides.","commonSituations":"Copy-paste errors duplicating one number into both fields; off-by-one rounding making min meet max; automated bound generation without an epsilon check.","solutions":["Ensure spot_max > spot_min (add an epsilon or sanity margin)","Derive bounds from data: spot_min=0.9*min_ref, spot_max=1.1*max_ref, then validate","Omit both to use the tool's safe defaults"],"exampleFix":"// before\nexecute({..., \"spot_min\": 100, \"spot_max\": 100})\n// after\nexecute({..., \"spot_min\": 90.0, \"spot_max\": 110.0})","handlingStrategy":"validation","validationCode":"lo, hi = kwargs.get(\"spot_min\"), kwargs.get(\"spot_max\")\nif lo is not None and hi is not None and float(hi) <= float(lo):\n    kwargs[\"spot_min\"], kwargs[\"spot_max\"] = None, None  # use defaults","typeGuard":"def bounds_ordered(lo, hi) -> bool:\n    return lo is None or hi is None or float(hi) > float(lo)","tryCatchPattern":"try:\n    execute(kwargs)\nexcept ValueError as e:\n    if \"greater than spot_min\" in str(e):\n        kwargs.update(spot_min=None, spot_max=None); execute(kwargs)","preventionTips":["Validate min<max in the form before submission","Derive bounds from data with a margin","Add epsilon checks in generated bound logic"],"tags":["validation","chart-bounds","options"],"backgroundTag":"value-out-of-range","analyzedSha":"80ffdda44c5c4db0dd84d70e051cca591cea67df","analyzedAt":"2026-08-28T12:46:38.989Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}