此 MCP 可以做什么
Scores user-provided trade ideas and reports calibration, feature attribution, and recorded outcomes from a paper-trading signal pipeline.
工具
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输入模式
{'type': 'object', 'required': ['ticker', 'bias'], 'properties': {'bias': {'enum': ['bullish', 'bearish', 'neutral'], 'type': 'string'}, 'thesis': {'type': 'string', 'description': 'Why it should move the stock'}, 'ticker': {'type': 'string', 'description': 'Symbol, e.g. NVDA'}, 'catalyst': {'type': 'string', 'description': 'What just happened (headline/event)'}, 'confidence': {'type': 'number', 'maximum': 1, 'minimum': 0, 'description': 'Your own conviction 0-1 (echoed, not scored)'}, 'catalyst_type': {'type': 'string', 'description': "Optional label, e.g. 'Government Contract'"}, 'catalyst_score': {'type': 'number', 'maximum': 100, 'minimum': 0, 'description': 'Optional 0-100 materiality if you scored it'}}, 'additionalProperties': False}
输入模式
{'type': 'object', 'required': ['evaluation_id'], 'properties': {'evaluation_id': {'type': 'string'}}, 'additionalProperties': False}
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
近期工具变更
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