"""四层漏斗筛选器 串联市场温度 → 板块热度 → 资金筛选 → 技术信号， 输出最终推荐列表。 自动检测是否在交易时段： - 盘中模式：用前一日 Tushare 数据 + 腾讯实时行情混合筛选 - 盘后模式：用当日 Tushare 完整数据筛选 """ import logging from app.analysis.market_temp import calculate_market_temperature from app.analysis.sector_scanner import scan_hot_sectors from app.analysis.capital_flow import filter_stocks_by_capital from app.analysis.signals import generate_signals from app.analysis.intraday import intraday_market_temperature, intraday_filter_stocks from app.data.models import MarketTemperature, SectorInfo, TechnicalSignal, Recommendation from app.config import settings, is_trading_hours logger = logging.getLogger(__name__) async def run_screening(trade_date: str = None) -> dict: """执行完整的四层漏斗筛选流程 自动检测交易时段： - 盘中 → 用前一日板块+实时行情筛选 - 盘后 → 用当日完整数据筛选 返回: { "market_temp": MarketTemperature, "hot_sectors": [SectorInfo], "capital_filtered": [dict], "recommendations": [Recommendation], "scan_mode": "intraday" | "post_market", } """ intraday = is_trading_hours() scan_mode = "intraday" if intraday else "post_market" logger.info(f"=== 筛选模式: {'盘中实时' if intraday else '盘后'} ===") # ── 第一层：市场温度 ── # 盘中和盘后都先计算基线温度（盘中用前一日数据） logger.info("=== 第一层：市场温度计 ===") market_temp = calculate_market_temperature(trade_date) if intraday: # 盘中叠加实时指数涨跌调整温度 market_temp = await intraday_market_temperature(market_temp) logger.info(f"盘中市场温度(实时调整): {market_temp.temperature}") else: logger.info(f"市场温度: {market_temp.temperature}") market_temp_score = market_temp.temperature # ── 第二层：板块热度 ── # 盘中用前一日的板块热度作为基线（哪些板块近期是热点） logger.info("=== 第二层：板块热度扫描 ===") all_sectors = scan_hot_sectors(trade_date) hot_sectors = all_sectors[:settings.top_sector_count] if not hot_sectors: logger.warning("未找到热门板块") return { "market_temp": market_temp, "hot_sectors": [], "capital_filtered": [], "recommendations": [], "scan_mode": scan_mode, } # ── 第三层：资金/实时筛选 ── if intraday: logger.info("=== 第三层：盘中实时个股筛选 ===") capital_filtered = await intraday_filter_stocks(hot_sectors) else: logger.info("=== 第三层：个股资金筛选 ===") capital_filtered = await filter_stocks_by_capital(hot_sectors, trade_date) if not capital_filtered: logger.warning("筛选后无符合条件的个股") return { "market_temp": market_temp, "hot_sectors": hot_sectors, "capital_filtered": [], "recommendations": [], "scan_mode": scan_mode, } # ── 第四层：技术面信号 ── logger.info("=== 第四层：技术面买卖信号 ===") recommendations = [] for stock in capital_filtered: ts_code = stock["ts_code"] name = stock["name"] sector = stock["sector"] tech_signal = generate_signals(ts_code, name) # 板块得分（含阶段调整） sector_score = _get_sector_score(stock["sector"], hot_sectors) sector_stage = _get_sector_stage(stock["sector"], hot_sectors) # 估值安全得分 valuation_score = stock.get("valuation_score", 50) # 位置安全得分 position_score = tech_signal.position_score # 六维综合评分（降低动量权重，增加安全维度） # 市场10% + 板块20% + 资金20% + 技术20% + 位置安全15% + 估值安全15% final_score = ( market_temp_score * 0.10 + sector_score * 0.20 + stock["capital_score"] * 0.20 + tech_signal.score * 0.20 + position_score * 0.15 + valuation_score * 0.15 ) # 板块尾声阶段额外惩罚（防止追板块尾部） if sector_stage == "end": final_score *= 0.85 elif sector_stage == "late": final_score *= 0.92 # 确定信号和等级 signal = "HOLD" if (tech_signal.score >= settings.buy_score_threshold and tech_signal.signal_count >= settings.buy_min_signals and position_score >= 30): # 位置太危险不给买入信号 signal = "BUY" level = _score_to_level(final_score) # 生成推荐理由 reasons = _generate_reasons(stock, tech_signal, market_temp, intraday) # 风险提示 risk_note = _generate_risk_note(market_temp, tech_signal, intraday) rec = Recommendation( ts_code=ts_code, name=name, sector=sector, score=round(final_score, 1), market_temp_score=round(market_temp_score, 1), sector_score=round(sector_score, 1), capital_score=round(stock["capital_score"], 1), technical_score=round(tech_signal.score, 1), position_score=round(position_score, 1), valuation_score=round(valuation_score, 1), signal=signal, entry_price=tech_signal.support_price, target_price=tech_signal.resist_price, stop_loss=tech_signal.stop_loss_price, reasons=reasons, risk_note=risk_note, level=level, ) recommendations.append(rec) # 按综合评分排序 recommendations.sort(key=lambda x: x.score, reverse=True) # 过滤掉低质量推荐（综合分 < 40 为"回避"级别，不展示） recommendations = [r for r in recommendations if r.score >= 40] logger.info(f"=== 筛选完成: {len(recommendations)} 只股票 ({scan_mode}) ===") for r in recommendations[:5]: logger.info(f" {r.name}({r.ts_code}) {r.level} 评分={r.score} 信号={r.signal}") return { "market_temp": market_temp, "hot_sectors": hot_sectors, "capital_filtered": capital_filtered, "recommendations": recommendations, "scan_mode": scan_mode, } def _get_sector_score(sector_name: str, hot_sectors: list[SectorInfo]) -> float: """获取板块在热门板块中的得分""" for s in hot_sectors: if s.sector_name == sector_name: return s.heat_score return 30.0 # 不在热门板块中，给一个基础分 def _get_sector_stage(sector_name: str, hot_sectors: list[SectorInfo]) -> str: """获取板块所处阶段""" for s in hot_sectors: if s.sector_name == sector_name: return s.stage return "mid" def _score_to_level(score: float) -> str: if score >= 80: return "强烈推荐" elif score >= 60: return "推荐" elif score >= 40: return "观望" else: return "回避" def _generate_reasons( stock: dict, tech: TechnicalSignal, market: MarketTemperature, intraday: bool = False, ) -> list[str]: reasons = [] if intraday: # 盘中理由：侧重实时行情指标 pct = stock.get("pct_chg", 0) vr = stock.get("volume_ratio") if vr and vr > 2: reasons.append(f"盘中量比{vr:.1f}倍，资金活跃度高") if pct > 3: reasons.append(f"盘中涨幅{pct:.1f}%，走势强劲") elif pct > 0: reasons.append(f"盘中涨幅{pct:.1f}%，温和上攻") else: # 盘后理由：侧重资金流向 inflow = stock.get("main_net_inflow", 0) if inflow > 5000: reasons.append(f"主力资金大幅流入{inflow:.0f}万元") elif inflow > 1000: reasons.append(f"主力资金持续流入{inflow:.0f}万元") # 板块 reasons.append(f"所属板块【{stock['sector']}】为当前热门概念") # 技术面 tech_reasons = [] if tech.ma_bullish: tech_reasons.append("均线多头排列") if tech.volume_breakout: tech_reasons.append("放量突破") if tech.macd_golden: tech_reasons.append("MACD金叉") if tech.pullback_support: tech_reasons.append("缩量回踩支撑") if tech.big_yang: tech_reasons.append("底部放量长阳") if tech_reasons: reasons.append("技术面: " + "、".join(tech_reasons)) # 位置安全 if tech.position_score >= 70: reasons.append("位置安全，距高点有空间") elif tech.position_score < 30: reasons.append("注意：短期涨幅较大，追高风险") return reasons[:3] # 最多3条 def _generate_risk_note( market: MarketTemperature, tech: TechnicalSignal, intraday: bool = False, ) -> str: notes = [] if intraday: notes.append("盘中数据参考，需结合尾盘确认") if market.temperature < 30: notes.append("市场情绪偏冷，系统性风险较高") elif market.temperature < 50: notes.append("市场情绪一般，注意仓位控制") if tech.score < 40: notes.append("技术面支撑不足") if tech.position_score < 30: notes.append(f"近期涨幅较大(5日{tech.rally_pct_5d}%)，追高风险") if tech.rally_pct_10d > 20: notes.append(f"10日累涨{tech.rally_pct_10d}%，警惕回调") if not notes: return "注意设好止损，控制仓位" return "；".join(notes)