d938bc6c59
Co-authored-by: Cursor <cursoragent@cursor.com>
361 lines
12 KiB
Python
361 lines
12 KiB
Python
"""中控历史测算:趋势回调 / 滚仓,以损定仓(无交易所精度,张数按公式估算)。"""
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from __future__ import annotations
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from typing import Any, Callable, Optional, Tuple
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from strategy_roll_lib import max_roll_legs, preview_roll
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from strategy_trend_lib import (
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build_trend_preview_level_rows,
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calc_risk_fraction,
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compute_trend_plan_core,
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validate_trend_bounds,
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)
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DEFAULT_DCA_LEGS = 5
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DEFAULT_CONTRACT_SIZE = 1.0
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MARGIN_BUFFER = 0.95
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def _identity_amount_precise(_symbol: str, amount: float) -> Optional[float]:
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try:
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v = float(amount)
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except (TypeError, ValueError):
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return None
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if v <= 0:
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return None
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return round(v, 8)
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def amount_from_margin(
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margin_capital: float,
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leverage: int,
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price: float,
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contract_size: float = DEFAULT_CONTRACT_SIZE,
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) -> Optional[float]:
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try:
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margin = float(margin_capital)
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lev = int(leverage)
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px = float(price)
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cs = float(contract_size) if contract_size else DEFAULT_CONTRACT_SIZE
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except (TypeError, ValueError):
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return None
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if margin <= 0 or lev <= 0 or px <= 0 or cs <= 0:
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return None
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notional = margin * lev
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return notional / (px * cs)
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def calc_trend_calculator(
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*,
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direction: str,
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capital_usdt: float,
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risk_percent: float,
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leverage: int,
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entry_price: float,
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stop_loss: float,
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add_upper: float,
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take_profit: float,
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dca_legs: int = DEFAULT_DCA_LEGS,
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contract_size: float = DEFAULT_CONTRACT_SIZE,
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) -> Tuple[Optional[dict[str, Any]], Optional[str]]:
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direction = (direction or "long").strip().lower()
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if direction not in ("long", "short"):
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return None, "方向须为 long 或 short"
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try:
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capital = float(capital_usdt)
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rp = float(risk_percent)
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lev = int(leverage)
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entry = float(entry_price)
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sl = float(stop_loss)
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upper = float(add_upper)
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tp = float(take_profit)
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legs = max(1, int(dca_legs))
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cs = float(contract_size) if contract_size else DEFAULT_CONTRACT_SIZE
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except (TypeError, ValueError):
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return None, "参数格式错误"
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if capital <= 0 or rp <= 0 or lev <= 0 or entry <= 0 or sl <= 0 or upper <= 0 or tp <= 0:
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return None, "资金、风险、杠杆与价格须大于 0"
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bound_err = validate_trend_bounds(direction, sl, upper)
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if bound_err:
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return None, bound_err
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rf = calc_risk_fraction(direction, upper, sl)
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if rf is None or rf <= 0:
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return None, "止损与补仓区间边界组合无法计算风险比例"
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risk_budget = capital * (rp / 100.0)
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notional = risk_budget / rf
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margin_plan = min(notional / float(lev), capital * MARGIN_BUFFER)
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if margin_plan <= 0:
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return None, "计划保证金过小"
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target_amt = amount_from_margin(margin_plan, lev, entry, cs)
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if target_amt is None or target_amt <= 0:
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return None, "无法计算计划张数,请检查入场价与杠杆"
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payload, err = compute_trend_plan_core(
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direction=direction,
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stop_loss=sl,
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add_upper=upper,
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risk_percent=rp,
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snapshot_usdt=capital,
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leverage=lev,
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live_price=entry,
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target_order_amount=target_amt,
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exchange_symbol="CALC",
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dca_legs=legs,
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amount_precise=_identity_amount_precise,
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min_amount=0.0,
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full_margin_buffer_ratio=MARGIN_BUFFER,
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)
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if err:
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return None, err
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payload["take_profit"] = tp
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payload["leverage"] = lev
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payload["contract_size"] = cs
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preview, rows = build_trend_preview_level_rows(payload)
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def _f(v: Any, nd: int = 4) -> Any:
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if v is None:
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return None
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try:
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return round(float(v), nd)
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except (TypeError, ValueError):
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return v
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table = []
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for row in rows:
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table.append(
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{
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"label": row.get("label"),
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"price": _f(row.get("price"), 8),
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"contracts": _f(row.get("contracts"), 8),
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"avg_entry": _f(row.get("avg_entry"), 8),
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"profit_u": _f(row.get("profit_u")),
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"risk_u": _f(row.get("risk_u")),
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"rr": _f(row.get("rr"), 4),
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}
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)
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return {
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"direction": direction,
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"capital_usdt": _f(capital),
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"risk_percent": _f(rp, 2),
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"risk_budget_u": _f(preview.get("preview_risk_amount_u")),
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"leverage": lev,
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"entry_price": _f(entry, 8),
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"stop_loss": _f(sl, 8),
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"add_upper": _f(upper, 8),
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"take_profit": _f(tp, 8),
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"plan_margin_u": _f(preview.get("plan_margin_capital")),
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"target_contracts": _f(preview.get("target_order_amount"), 8),
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"first_contracts": _f(preview.get("first_order_amount"), 8),
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"dca_legs": int(preview.get("dca_legs") or legs),
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"first_profit_u": _f(preview.get("preview_first_profit_u")),
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"first_rr": _f(preview.get("preview_target_rr"), 4),
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"rows": table,
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}, None
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def _round(v: Any, nd: int = 4) -> Any:
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if v is None:
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return None
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try:
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return round(float(v), nd)
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except (TypeError, ValueError):
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return v
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def _money_rr(profit_u: Optional[float], risk_u: Optional[float]) -> Optional[float]:
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try:
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if risk_u is None or float(risk_u) <= 0 or profit_u is None:
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return None
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return round(float(profit_u) / float(risk_u), 4)
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except (TypeError, ValueError):
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return None
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def calc_initial_roll_qty(
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direction: str,
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entry_price: float,
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stop_loss: float,
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risk_budget_usdt: float,
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) -> Tuple[Optional[float], Optional[str]]:
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"""首仓以损定仓:打到初始止损亏损 = 风险预算。"""
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try:
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entry = float(entry_price)
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sl = float(stop_loss)
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budget = float(risk_budget_usdt)
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except (TypeError, ValueError):
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return None, "参数格式错误"
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if entry <= 0 or sl <= 0 or budget <= 0:
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return None, "入场价、止损与风险预算须大于 0"
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direction = (direction or "long").strip().lower()
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if direction == "short":
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per_unit = sl - entry
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if per_unit <= 0:
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return None, "做空:止损价须高于首仓入场价"
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else:
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per_unit = entry - sl
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if per_unit <= 0:
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return None, "做多:止损价须低于首仓入场价"
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return budget / per_unit, None
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def calc_roll_calculator(
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*,
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direction: str,
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capital_usdt: float,
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risk_percent: float,
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entry_price: float,
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stop_loss: float,
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take_profit: float,
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add_legs: list[dict[str, float]] | None = None,
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legs_done: int = 0,
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) -> Tuple[Optional[dict[str, Any]], Optional[str]]:
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"""
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滚仓历史测算:首仓自动以损定仓;止盈锁定首仓价;最多 3 次滚仓加仓。
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add_legs: [{add_price, new_stop_loss}, ...],按顺序链式计算。
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legs_done: 已完成滚仓次数(仅标记,仍参与链式状态推进)。
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"""
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direction = (direction or "long").strip().lower()
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if direction not in ("long", "short"):
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return None, "方向须为 long 或 short"
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try:
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capital = float(capital_usdt)
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rp = float(risk_percent)
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entry = float(entry_price)
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initial_sl = float(stop_loss)
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tp = float(take_profit)
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done = max(0, int(legs_done))
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except (TypeError, ValueError):
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return None, "参数格式错误"
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if capital <= 0 or rp <= 0 or entry <= 0 or initial_sl <= 0 or tp <= 0:
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return None, "资金、风险与价格须大于 0"
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if done > max_roll_legs(direction):
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return None, f"已完成滚仓次数不能超过 {max_roll_legs(direction)} 次"
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legs_in: list[dict[str, float]] = []
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for raw in add_legs or []:
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if not isinstance(raw, dict):
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continue
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try:
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ap = float(raw.get("add_price"))
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nsl = float(raw.get("new_stop_loss"))
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except (TypeError, ValueError):
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return None, "加仓价与新止损须为有效数字"
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if ap <= 0 or nsl <= 0:
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return None, "加仓价与新止损须大于 0"
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legs_in.append({"add_price": ap, "new_stop_loss": nsl})
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if done + len(legs_in) > max_roll_legs(direction):
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return None, f"已完成 {done} 次 + 待测算 {len(legs_in)} 次,合计不能超过 {max_roll_legs(direction)} 次滚仓"
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if direction == "long":
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if tp <= entry:
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return None, "做多:止盈价须高于首仓入场价"
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else:
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if tp >= entry:
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return None, "做空:止盈价须低于首仓入场价"
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risk_budget = capital * (rp / 100.0)
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qty, err = calc_initial_roll_qty(direction, entry, initial_sl, risk_budget)
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if err:
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return None, err
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if qty is None or qty <= 0:
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return None, "无法计算首仓张数"
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qty_f = float(qty)
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avg = entry
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rows: list[dict[str, Any]] = []
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if direction == "long":
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first_loss = (avg - initial_sl) * qty_f
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first_profit = (tp - avg) * qty_f
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else:
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first_loss = (initial_sl - avg) * qty_f
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first_profit = (avg - tp) * qty_f
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rows.append(
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{
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"label": "首仓",
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"leg_index": 0,
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"already_done": False,
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"entry_or_add_price": _round(entry, 8),
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"stop_loss": _round(initial_sl, 8),
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"add_contracts": _round(qty_f, 8),
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"total_contracts": _round(qty_f, 8),
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"avg_entry": _round(avg, 8),
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"take_profit": _round(tp, 8),
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"loss_at_sl_u": _round(first_loss),
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"profit_at_tp_u": _round(first_profit),
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"rr": _money_rr(first_profit, first_loss),
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}
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)
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current_qty = qty_f
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current_avg = avg
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for i, leg in enumerate(legs_in):
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leg_no = i + 1
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preview, err = preview_roll(
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direction=direction,
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symbol="CALC",
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qty_existing=current_qty,
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entry_existing=current_avg,
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initial_take_profit=tp,
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add_mode="market",
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new_stop_loss=leg["new_stop_loss"],
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risk_percent=rp,
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capital_base_usdt=capital,
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add_price=leg["add_price"],
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legs_done=i,
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)
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if err:
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return None, f"滚仓第 {leg_no} 次:{err}"
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if not preview:
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return None, f"滚仓第 {leg_no} 次计算失败"
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current_qty = float(preview["qty_after"])
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current_avg = float(preview["avg_entry_after"])
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loss = preview.get("loss_at_sl_usdt")
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reward = preview.get("reward_at_tp_usdt")
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rows.append(
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{
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"label": f"滚仓{leg_no}",
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"leg_index": leg_no,
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"already_done": leg_no <= done,
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"entry_or_add_price": _round(preview.get("add_price"), 8),
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"stop_loss": _round(preview.get("new_stop_loss"), 8),
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"add_contracts": _round(preview.get("add_amount_raw"), 8),
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"total_contracts": _round(current_qty, 8),
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"avg_entry": _round(current_avg, 8),
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"take_profit": _round(tp, 8),
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"loss_at_sl_u": _round(loss),
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"profit_at_tp_u": _round(reward),
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"rr": _money_rr(reward, loss),
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}
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)
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last = rows[-1]
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return {
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"direction": direction,
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"capital_usdt": _round(capital),
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"risk_percent": _round(rp, 2),
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"risk_budget_u": _round(risk_budget),
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"entry_price": _round(entry, 8),
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"stop_loss": _round(initial_sl, 8),
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"take_profit": _round(tp, 8),
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"legs_done": done,
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"roll_legs_planned": len(legs_in),
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"first_contracts": _round(qty_f, 8),
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"final_contracts": last.get("total_contracts"),
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"final_avg_entry": last.get("avg_entry"),
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"final_loss_at_sl_u": last.get("loss_at_sl_u"),
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"final_profit_at_tp_u": last.get("profit_at_tp_u"),
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"final_rr": last.get("rr"),
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"rows": rows,
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}, None
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