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signal-platform/app/routers/trades.py
T
dennisthiessen d53ed972d1
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Add multi-factor conviction gate to activation
Make "qualified" mean an edge candidate, not just R:R + confidence.
The gate now also requires (all admin-configurable, defaults on):
- high conviction: recommended_action LONG_HIGH / SHORT_HIGH only
- clean read: risk_level Low (no contradicting signals)
- probable primary target: best target probability >= min (default 60)

- Shared predicate: app/services/qualification.py +
  frontend/src/lib/qualification.ts (mirrored)
- Activation config extended (min_target_probability,
  require_high_conviction, exclude_conflicts) with bool-aware
  get/update + validation
- /trades/performance switched to ?qualified_only=true, applying
  the full gate server-side; confidence breakdown stays unfiltered
- Dashboard "Qualified", Signals "Qualified only" toggle, and
  Track Record all use the one gate; Admin gains the new controls

Sentiment provider runtime config (prior change) included.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-13 11:50:42 +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(
qualified_only: bool = Query(
False, description="Restrict overall/direction/action stats to setups that clear the activation gate"
),
_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).
With qualified_only, the overall/direction/action breakdowns cover only
setups clearing the activation gate; the confidence breakdown always
covers all setups so the gate can be validated against it.
"""
config = await admin_service.get_activation_config(db) if qualified_only else None
stats = await get_performance_stats(db, config=config)
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)