接入 SimNow 模拟盘与期货下单、策略及品种推荐功能。

新增 vnpy CTP 桥接、以损定仓/固定张数、趋势回调与滚仓策略、按资金推荐品种及交易风控；模拟盘走 SimNow，实盘预留期货公司配置。

Co-authored-by: Cursor <cursoragent@cursor.com>

product_recommend.py

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+"""按账户资金推荐可交易品种（期货核心筛选）。"""
+from __future__ import annotations
+
+from typing import Callable, Optional
+
+from contract_specs import get_contract_spec
+from symbols import PRODUCTS
+
+
+def _letters_from_ths(ths_code: str) -> str:
+    import re
+    m = re.match(r"^([A-Za-z]+)", (ths_code or "").strip())
+    return m.group(1) if m else ""
+
+
+def assess_product_for_capital(
+    product: dict,
+    capital: float,
+    price: Optional[float],
+    *,
+    max_position_pct: float = 50.0,
+    default_stop_ticks: int = 20,
+) -> dict:
+    """评估单品种在当前资金下是否可交易。"""
+    ths = product.get("ths") or ""
+    name = product.get("name") or ths
+    exchange = product.get("exchange") or ""
+    spec = get_contract_spec(ths + "8888")
+    mult = spec["mult"]
+    margin_rate = spec["margin_rate"]
+    tick = float(spec.get("tick_size") or 1.0)
+    p = float(price) if price and price > 0 else 0.0
+    cap = float(capital or 0)
+
+    if p <= 0:
+        return {
+            "ths": ths,
+            "name": name,
+            "exchange": exchange,
+            "status": "no_price",
+            "status_label": "暂无行情",
+            "min_capital_one_lot": None,
+            "margin_one_lot": None,
+            "risk_one_lot_1pct": None,
+        }
+
+    margin_one = p * mult * margin_rate
+    min_capital = margin_one / (max_position_pct / 100.0) if max_position_pct > 0 else margin_one
+    stop_dist = tick * default_stop_ticks
+    risk_one_lot = stop_dist * mult
+    risk_pct_1lot = (risk_one_lot / cap * 100) if cap > 0 else 999.0
+
+    can_margin = cap >= min_capital
+    can_risk = cap > 0 and risk_one_lot <= cap * 0.01
+
+    if can_margin and can_risk:
+        status, label = "ok", "推荐"
+    elif can_margin:
+        status, label = "margin_ok", "可开1手·止损偏宽"
+    else:
+        status, label = "blocked", "资金不足"
+
+    return {
+        "ths": ths,
+        "name": name,
+        "exchange": exchange,
+        "price": round(p, 4),
+        "mult": mult,
+        "tick_size": tick,
+        "margin_one_lot": round(margin_one, 2),
+        "min_capital_one_lot": round(min_capital, 2),
+        "risk_one_lot_1pct": round(risk_one_lot, 2),
+        "risk_pct_1lot_at_1pct_rule": round(risk_pct_1lot, 2),
+        "status": status,
+        "status_label": label,
+    }
+
+
+def list_product_recommendations(
+    capital: float,
+    price_fn: Callable[[str], Optional[float]],
+    *,
+    max_position_pct: float = 50.0,
+) -> list[dict]:
+    """扫描全部品种并排序：推荐 > 可开 > 不足。"""
+    rows = []
+    for p in PRODUCTS:
+        ths = p["ths"]
+        main_code = price_fn(ths)
+        row = assess_product_for_capital(
+            p, capital, main_code, max_position_pct=max_position_pct
+        )
+        rows.append(row)
+    order = {"ok": 0, "margin_ok": 1, "blocked": 2, "no_price": 3}
+    rows.sort(key=lambda r: (order.get(r["status"], 9), r.get("min_capital_one_lot") or 1e18))
+    return rows