Aryan SinghandClaude Opus 4.8
52450c0835
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016DvdRZkyCy9NJpHYDdPqmS
25 lines
844 B
Python
25 lines
844 B
Python
"""Risk guardrails. Generous-but-present defaults for a paper account.
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These are enforced programmatically in ``execution/guardrails.py`` — the LLM's
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requested sizing and stop/take levels are inputs that get clamped here, never trusted.
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"""
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from __future__ import annotations
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from pydantic import BaseModel
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class RiskConfig(BaseModel):
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max_position_pct: float = 0.10 # cap per single position, % of equity
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max_symbol_exposure_pct: float = 0.15 # aggregate cap per ticker across all agents
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max_trades_per_agent: int = 3
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max_trades_per_day: int = 8
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allow_shorts: bool = True # shorts enabled; persona prompts decide when to use them
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default_stop_pct: float = 0.07
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default_take_pct: float = 0.15
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min_price: float = 3.0 # skip sub-$3 names
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max_price: float | None = None
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DEFAULT_RISK = RiskConfig()
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