- SignalRules(买入 rank 阈值/趋势 MA/动量 + 卖出区间/破位警示)+ SignalEvent (BUY/WATCH/SELL,score/price/trigger_reason 可解释)+ SignalResult/Meta - quant/signal.generate_signals:与选股同一评分引擎取全市场 rank,按规则分类输出 - signal_snapshot/signal_event 表(migration d8e0b2f3c4d5,MySQL 已应用)+ Repo - SignalService + POST /api/signals(同步+落库)、GET 详情/列表 - tests/test_signals.py(引擎分类/排序/破位不 BUY、service、API 提交读回);全量 pytest 通过
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
"""信号用例(M8.1):基于选股评分排序 + 技术条件生成交易信号。
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信号与回测买入逻辑同源(同一评分引擎、同一口径),保证「为什么 BUY/SELL」可解释。
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"""
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from __future__ import annotations
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from datetime import date, timedelta
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import pandas as pd
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from app.domain.entities.selection import SelectionQuery
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from app.domain.entities.signal import SignalResult, SignalRules
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from app.domain.repositories.market import DailyBarRepository, StockRepository
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from app.quant.selection import factor_columns
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from app.quant.service import filter_stocks, load_daily_df
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from app.quant.signal import generate_signals
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class SignalService:
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def __init__(self, stock_repo: StockRepository, daily_repo: DailyBarRepository) -> None:
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self._stock_repo = stock_repo
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self._daily_repo = daily_repo
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def signal(self, query: SelectionQuery, rules: SignalRules) -> SignalResult:
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as_of = query.as_of or date.today()
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stocks = filter_stocks(self._stock_repo.list(), query.universe, as_of=as_of)
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if not stocks:
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return generate_signals(pd.DataFrame(), query, rules, as_of)
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columns = sorted(factor_columns(query))
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daily = load_daily_df(
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self._daily_repo,
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[s.symbol for s in stocks],
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as_of - timedelta(days=query.warmup_days),
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as_of,
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columns,
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adjust=query.price_adjustment,
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)
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return generate_signals(daily, query, rules, as_of)
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