This commit is contained in:
2026-09-29 22:48:41 +08:00
parent a490fdc110
commit 4a27e35ff4
13 changed files with 719 additions and 15 deletions
+26 -4
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@@ -56,6 +56,10 @@ def _ma(df: pd.DataFrame, p: dict) -> dict[str, pd.Series]:
return {"ma": ind.ma(df["close"], period=int(p["period"]))}
def _vol_ratio(df: pd.DataFrame, p: dict) -> dict[str, pd.Series]:
return {"vol_ratio": ind.vol_ratio(df["volume"], period=int(p["period"]))}
def _boll(df: pd.DataFrame, p: dict) -> dict[str, pd.Series]:
out = ind.bollinger(df["close"], period=int(p["period"]), std=float(p["std"]))
return {"boll_upper": out["upper"], "boll_mid": out["mid"], "boll_lower": out["lower"]}
@@ -75,6 +79,16 @@ def _pct_chg(df: pd.DataFrame, p: dict) -> dict[str, pd.Series]:
return {"pct_chg": df["pct_chg"]}
def _amplitude(df: pd.DataFrame, p: dict) -> dict[str, pd.Series]:
# 当日振幅 %(通达信口径:(最高-最低)/昨收×100),依赖派生列 amplitude
return {"amplitude": df["amplitude"]}
def _turnover_rate(df: pd.DataFrame, p: dict) -> dict[str, pd.Series]:
# 逐日换手率 %(candles.turnover 直读;ETF/缺数据日为 NaN,条件按 False 处理)
return {"turnover_rate": df["turnover"]}
@dataclass(frozen=True)
class FamilyDef:
label: str # 族中文标签(条件回显/表头)
@@ -89,20 +103,24 @@ FAMILIES: dict[str, FamilyDef] = {
"macd": FamilyDef("MACD", ("fast", "slow", "signal"), {"fast": 12, "slow": 26, "signal": 9}, 60, _macd),
"rsi": FamilyDef("RSI", ("period",), {"period": 14}, 25, _rsi),
"ma": FamilyDef("MA", ("period",), {"period": 20}, 25, _ma),
"vol_ratio": FamilyDef("量比", ("period",), {"period": 5}, 10, _vol_ratio),
"boll": FamilyDef("BOLL", ("period", "std"), {"period": 20, "std": 2}, 25, _boll),
"zhixing": FamilyDef("知行", ("m1", "m2", "m3", "m4"),
{"m1": 14, "m2": 28, "m3": 57, "m4": 114}, 114, _zhixing),
"close": FamilyDef("收盘价", (), {}, 1, _close),
"pct_chg": FamilyDef("日涨跌幅", (), {}, 1, _pct_chg),
"amplitude": FamilyDef("当日振幅", (), {}, 2, _amplitude),
"turnover_rate": FamilyDef("换手率", (), {}, 1, _turnover_rate),
}
INDICATOR_FAMILY: dict[str, str] = {
"kdj_k": "kdj", "kdj_d": "kdj", "kdj_j": "kdj",
"macd_dif": "macd", "macd_dea": "macd", "macd_hist": "macd",
"rsi": "rsi", "ma": "ma",
"rsi": "rsi", "ma": "ma", "vol_ratio": "vol_ratio",
"boll_upper": "boll", "boll_mid": "boll", "boll_lower": "boll",
"zhixing_dkx": "zhixing", "zhixing_trend": "zhixing",
"close": "close", "pct_chg": "pct_chg",
"amplitude": "amplitude", "turnover_rate": "turnover_rate",
}
_IND_SUFFIX = {"kdj_k": "K", "kdj_d": "D", "kdj_j": "J",
@@ -317,23 +335,27 @@ async def _load_bars(session: AsyncSession, ts_codes: list[str],
"""
symbols = [plain_code(t) for t in ts_codes]
stmt = select(
Candle.symbol, Candle.ts, Candle.open, Candle.high, Candle.low, Candle.close,
Candle.symbol, Candle.ts, Candle.open, Candle.high, Candle.low, Candle.close, Candle.volume,
Candle.turnover,
).where(Candle.timeframe == "1d", Candle.ts >= min_date, Candle.ts <= target_date)
if len(symbols) <= 2000:
stmt = stmt.where(Candle.symbol.in_(set(symbols)))
rows = (await session.execute(stmt)).all()
df = pd.DataFrame(rows, columns=["symbol", "trade_date", "open", "high", "low", "close"])
df = pd.DataFrame(rows, columns=["symbol", "trade_date", "open", "high", "low", "close", "volume", "turnover"])
if not df.empty and len(symbols) > 2000:
df = df[df["symbol"].isin(set(symbols))]
df = df.sort_values(["symbol", "trade_date"]).reset_index(drop=True)
if df.empty:
df["ts_code"] = pd.Series(dtype=object)
df["pct_chg"] = pd.Series(dtype=object)
df["amplitude"] = pd.Series(dtype=object)
else:
prev_close = df.groupby("symbol")["close"].shift(1)
df["pct_chg"] = df.groupby("symbol")["close"].pct_change() * 100
df["amplitude"] = (df["high"] - df["low"]) / prev_close * 100
ts_map = {plain_code(t): t for t in ts_codes}
df["ts_code"] = df["symbol"].map(ts_map)
return df[["ts_code", "trade_date", "open", "high", "low", "close", "pct_chg"]]
return df[["ts_code", "trade_date", "open", "high", "low", "close", "volume", "turnover", "pct_chg", "amplitude"]]
def _f(v) -> float | None:
+4 -4
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@@ -22,8 +22,8 @@ SYSTEM_PROMPT = """你是 A 股选股条件解析器。把用户的自然语言
(indicator 与 snapshot 至少一个非空;用户没有提到的条件不要编造)
【indicator 数组】技术指标条件,元素字段:
- "indicator": 指标名,白名单:kdj_k / kdj_d / kdj_j(KDJ 的 K/D/J 值)、rsi、macd_dif / macd_dea / macd_hist(MACD 的 DIF/DEA/柱)、ma(收盘价均线)、boll_upper / boll_mid / boll_lower(布林轨道)、zhixing_dkx(知行多空线,四条收盘价均线的均值)、zhixing_trend(知行短期趋势线)、close(收盘价)、pct_chg(日涨跌幅%)
- "params": 指标参数(可选),默认:KDJ {"n":9,"m1":3,"m2":3};RSI {"period":14};MACD {"fast":12,"slow":26,"signal":9};MA {"period":20};BOLL {"period":20,"std":2};知行多空线 {"m1":14,"m2":28,"m3":57,"m4":114};知行趋势线无参数(固定算法),不要给它填 params
- "indicator": 指标名,白名单:kdj_k / kdj_d / kdj_j(KDJ 的 K/D/J 值)、rsi、macd_dif / macd_dea / macd_hist(MACD 的 DIF/DEA/柱)、ma(收盘价均线)、vol_ratio(量比,当日成交量/前5日均量)、boll_upper / boll_mid / boll_lower(布林轨道)、zhixing_dkx(知行多空线,四条收盘价均线的均值)、zhixing_trend(知行短期趋势线)、close(收盘价)、pct_chg(日涨跌幅%)、amplitude(当日振幅%,(最高-最低)/昨收)、turnover_rate(换手率%,逐日历史值)
- "params": 指标参数(可选),默认:KDJ {"n":9,"m1":3,"m2":3};RSI {"period":14};MACD {"fast":12,"slow":26,"signal":9};MA {"period":20};量比 {"period":5};BOLL {"period":20,"std":2};知行多空线 {"m1":14,"m2":28,"m3":57,"m4":114};知行趋势线/振幅/换手率无参数,不要给它们填 params
- "op": "gt" | "ge" | "lt" | "le" | "between"
- "value": 比较数值(between 时为下界),"value2": between 上界
- "value_indicator": 可选。指标与指标比较时填另一指标名(同白名单),如 "DIF大于DEA" -> indicator=macd_dif, op=gt, value_indicator=macd_dea, value=0;"股价在布林带下轨之下" -> indicator=close, op=lt, value_indicator=boll_lower, value=0
@@ -171,8 +171,8 @@ EVENT_SYSTEM_PROMPT = """你是 A 股事件回测参数解析器。用户描述
{"entry": {"indicator": [...], "snapshot": [], "exclude_st": true, "exclude_delisted": true, "exclude_bj": true}, "entry_timing": "next_open", "holding_days": 3, "exit_timing": "close"}
【entry.indicator 数组】入场信号条件(必填,至少 1 条),元素字段与白名单:
- "indicator": kdj_k / kdj_d / kdj_j(KDJ 的 K/D/J 值)、rsi、macd_dif / macd_dea / macd_hist(MACD 的 DIF/DEA/柱)、ma(收盘价均线)、boll_upper / boll_mid / boll_lower(布林轨道)、zhixing_dkx(知行多空线)、zhixing_trend(知行短期趋势线)、close(收盘价)、pct_chg(日涨跌幅%)
- "params": 指标参数(可选),默认:KDJ {"n":9,"m1":3,"m2":3};RSI {"period":14};MACD {"fast":12,"slow":26,"signal":9};MA {"period":20};BOLL {"period":20,"std":2};知行多空线 {"m1":14,"m2":28,"m3":57,"m4":114};知行趋势线无参数(固定算法),不要给它填 params
- "indicator": kdj_k / kdj_d / kdj_j(KDJ 的 K/D/J 值)、rsi、macd_dif / macd_dea / macd_hist(MACD 的 DIF/DEA/柱)、ma(收盘价均线)、vol_ratio(量比,当日成交量/前5日均量)、boll_upper / boll_mid / boll_lower(布林轨道)、zhixing_dkx(知行多空线)、zhixing_trend(知行短期趋势线)、close(收盘价)、pct_chg(日涨跌幅%)、amplitude(当日振幅%,(最高-最低)/昨收)、turnover_rate(换手率%,逐日历史值)
- "params": 指标参数(可选),默认:KDJ {"n":9,"m1":3,"m2":3};RSI {"period":14};MACD {"fast":12,"slow":26,"signal":9};MA {"period":20};量比 {"period":5};BOLL {"period":20,"std":2};知行多空线 {"m1":14,"m2":28,"m3":57,"m4":114};知行趋势线/振幅/换手率无参数,不要给它们填 params
- "op": "gt" | "ge" | "lt" | "le" | "between";"value"(between 时为下界)、"value2"(上界)
- "value_indicator": 指标与指标比较时填另一指标名(同白名单),如 "DIF 大于 DEA" -> indicator=macd_dif, op=gt, value_indicator=macd_dea, value=0
- "value_params": 比较对象指标参数不同时指定,如 "MA5 上穿 MA20" -> indicator=ma, params={"period":5}, op=gt, value_indicator=ma, value_params={"period":20}, value=0