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signal-platform/app/routers/trades.py
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dennisthiessen 6da65b8d8f
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Add activation thresholds: qualified-signal defaults and views
Admin-configurable thresholds (min R:R, default 2.0; min confidence,
default 70%) defining what counts as an actionable signal:

- Admin Settings: new Activation Thresholds panel
  (GET/PUT /admin/settings/activation)
- GET /trades/activation exposes values to all users with access
- Signals/Setups: filters initialize from activation values
- Track Record: "Qualified signals only" toggle (default on) via
  min_rr/min_confidence params on /trades/performance; the
  confidence breakdown always covers the full population so the
  thresholds can be validated against outcomes
- Dashboard: "Qualified" metric and qualified-first Top Setups
- Outcome evaluator unchanged: every setup is still evaluated

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-12 18:16:04 +02:00

127 lines
4.8 KiB
Python

"""Trades router — R:R scanner trade setup endpoints."""
from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from app.dependencies import get_db, require_access
from app.schemas.common import APIEnvelope
from app.schemas.trade_setup import RecommendationSummaryResponse, TradeSetupResponse
from app.services import admin_service
from app.services.outcome_service import get_performance_stats
from app.services.rr_scanner_service import get_trade_setup_history, get_trade_setups
router = APIRouter(tags=["trades"])
@router.get("/trades", response_model=APIEnvelope)
async def list_trade_setups(
direction: str | None = Query(
None, description="Filter by direction: long or short"
),
min_confidence: float | None = Query(
None, ge=0, le=100, description="Minimum confidence score"
),
recommended_action: str | None = Query(
None,
description="Filter by action: LONG_HIGH, LONG_MODERATE, SHORT_HIGH, SHORT_MODERATE, NEUTRAL",
),
_user=Depends(require_access),
db: AsyncSession = Depends(get_db),
) -> APIEnvelope:
"""Get latest trade setups with recommendation data."""
rows = await get_trade_setups(
db,
direction=direction,
min_confidence=min_confidence,
recommended_action=recommended_action,
)
data = []
for row in rows:
summary = RecommendationSummaryResponse(
action=row.get("recommended_action") or "NEUTRAL",
reasoning=row.get("reasoning"),
risk_level=row.get("risk_level"),
composite_score=row["composite_score"],
)
payload = {**row, "recommendation_summary": summary}
data.append(TradeSetupResponse(**payload).model_dump(mode="json"))
return APIEnvelope(status="success", data=data)
@router.get("/trades/activation", response_model=APIEnvelope)
async def get_activation_thresholds(
_user=Depends(require_access),
db: AsyncSession = Depends(get_db),
) -> APIEnvelope:
"""Activation thresholds (min R:R, min confidence) for actionable signals.
Readable by any user with access — drives Signals-page default filters
and the Dashboard's qualified-setup metrics. Configured by admins via
PUT /admin/settings/activation.
"""
config = await admin_service.get_activation_config(db)
return APIEnvelope(status="success", data=config)
@router.get("/trades/performance", response_model=APIEnvelope)
async def get_trade_performance(
min_rr: float | None = Query(None, ge=0, description="Only setups with R:R >= this"),
min_confidence: float | None = Query(
None, ge=0, le=100, description="Only setups with confidence >= this"
),
_user=Depends(require_access),
db: AsyncSession = Depends(get_db),
) -> APIEnvelope:
"""Aggregate outcome statistics over evaluated trade setups.
Outcomes are written by the nightly outcome_evaluator job (win = target
hit first, loss = stop hit first, expired = neither within the window).
Optional min_rr / min_confidence filters apply to the overall, direction
and action breakdowns; the confidence breakdown always covers all setups
so thresholds can be validated against it.
"""
stats = await get_performance_stats(db, min_rr=min_rr, min_confidence=min_confidence)
return APIEnvelope(status="success", data=stats)
@router.get("/trades/{symbol}", response_model=APIEnvelope)
async def get_ticker_trade_setups(
symbol: str,
_user=Depends(require_access),
db: AsyncSession = Depends(get_db),
) -> APIEnvelope:
rows = await get_trade_setups(db, symbol=symbol)
data = []
for row in rows:
summary = RecommendationSummaryResponse(
action=row.get("recommended_action") or "NEUTRAL",
reasoning=row.get("reasoning"),
risk_level=row.get("risk_level"),
composite_score=row["composite_score"],
)
payload = {**row, "recommendation_summary": summary}
data.append(TradeSetupResponse(**payload).model_dump(mode="json"))
return APIEnvelope(status="success", data=data)
@router.get("/trades/{symbol}/history", response_model=APIEnvelope)
async def get_ticker_trade_history(
symbol: str,
_user=Depends(require_access),
db: AsyncSession = Depends(get_db),
) -> APIEnvelope:
rows = await get_trade_setup_history(db, symbol=symbol)
data = []
for row in rows:
summary = RecommendationSummaryResponse(
action=row.get("recommended_action") or "NEUTRAL",
reasoning=row.get("reasoning"),
risk_level=row.get("risk_level"),
composite_score=row["composite_score"],
)
payload = {**row, "recommendation_summary": summary}
data.append(TradeSetupResponse(**payload).model_dump(mode="json"))
return APIEnvelope(status="success", data=data)