5e507d0b66
Load enabled instances from settings, fetch market info via /api/hub/market, and apply exchange-specific amount and price precision in trend and roll calculators. Co-authored-by: Cursor <cursoragent@cursor.com>
499 lines
17 KiB
Python
499 lines
17 KiB
Python
"""中控历史测算:趋势回调 / 滚仓,以损定仓(按交易所精度与张数规则)。"""
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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
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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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MARGIN_BUFFER = 0.95
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def _resolve_market(
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exchange_id: str,
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base: str,
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) -> Tuple[Optional[dict[str, Any]], Optional[Callable[[float], Optional[float]]], Optional[str]]:
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from hub_calculator_market_lib import get_calculator_market, make_amount_precise_fn_from_market
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market, err = get_calculator_market(exchange_id, base)
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if err or not market:
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return None, None, err or "无法解析合约"
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amount_precise = make_amount_precise_fn_from_market(market)
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return market, amount_precise, None
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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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exchange_id: str = "0",
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base: str = "ETH",
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) -> Tuple[Optional[dict[str, Any]], Optional[str]]:
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market, amount_precise, merr = _resolve_market(exchange_id, base)
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if merr or not market or not amount_precise:
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return None, merr or "无法解析合约"
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contract_size = float(market.get("contract_size") or 1.0)
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exchange_symbol = market["exchange_symbol"]
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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 1.0
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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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target_amt = amount_precise(target_amt)
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if target_amt is None or target_amt <= 0:
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return None, "计划张数低于交易所最小精度"
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def _amount_precise(_symbol: str, amount: float) -> Optional[float]:
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return amount_precise(amount)
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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=exchange_symbol,
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dca_legs=legs,
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amount_precise=_amount_precise,
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min_amount=float(market.get("min_amount") or 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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px_dec = int(market.get("price_decimals") or 4)
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amt_dec = int(market.get("amount_decimals") or 4)
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def _f(v: Any, nd: int | None = None) -> 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 if nd is not None else 8)
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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"), px_dec),
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"contracts": _f(row.get("contracts"), amt_dec),
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"avg_entry": _f(row.get("avg_entry"), px_dec),
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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, px_dec),
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"stop_loss": _f(sl, px_dec),
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"add_upper": _f(upper, px_dec),
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"take_profit": _f(tp, px_dec),
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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"), amt_dec),
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"first_contracts": _f(preview.get("first_order_amount"), amt_dec),
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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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"market": market,
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"rows": table,
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}, None
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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,
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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 1.0
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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 _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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contract_size: float = 1.0,
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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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cs = float(contract_size) if contract_size else 1.0
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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 or cs <= 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) * cs
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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) * cs
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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 solve_add_amount_for_total_risk(
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direction: str,
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qty_existing: float,
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entry_existing: float,
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add_price: float,
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new_stop: float,
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risk_budget_usdt: float,
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contract_size: float = 1.0,
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) -> Tuple[Optional[float], Optional[str]]:
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"""合并持仓打到新止损总亏损 = 风险预算,反推本次加仓张数。"""
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try:
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q1 = float(qty_existing)
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e1 = float(entry_existing)
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e2 = float(add_price)
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sl = float(new_stop)
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b = float(risk_budget_usdt)
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cs = float(contract_size) if contract_size else 1.0
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except (TypeError, ValueError):
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return None, "参数格式错误"
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if q1 <= 0 or e1 <= 0 or e2 <= 0 or b <= 0 or cs <= 0:
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return None, "持仓或风险预算无效"
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direction = (direction or "long").strip().lower()
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if direction == "short":
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denom = sl - e2
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numer = b / cs - q1 * (sl - e1)
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if denom <= 0:
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return None, "做空:新止损须高于限价加仓价"
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else:
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denom = e2 - sl
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numer = b / cs - q1 * (e1 - sl)
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if denom <= 0:
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return None, "做多:新止损须低于限价/市价加仓价"
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q2 = numer / denom
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if q2 <= 0:
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return None, "按当前新止损与总风险%,无需加仓或无法再加(已满足风险上限)"
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return q2, None
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def _roll_leg_preview(
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*,
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direction: str,
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qty_existing: float,
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entry_existing: float,
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take_profit: float,
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add_price: float,
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new_stop_loss: float,
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risk_budget: float,
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contract_size: float,
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amount_precise: Callable[[float], Optional[float]],
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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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try:
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tp = float(take_profit)
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sl = float(new_stop_loss)
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entry_add = float(add_price)
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e1 = float(entry_existing)
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except (TypeError, ValueError):
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return None, "止损/止盈格式错误"
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if sl <= 0 or tp <= 0 or entry_add <= 0:
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return None, "止损与首仓止盈须大于0"
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if direction == "long":
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if sl >= entry_add:
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return None, "做多:新止损须低于加仓价"
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if tp <= e1:
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return None, "做多:首仓止盈须高于当前持仓均价参考"
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else:
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if sl <= entry_add:
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return None, "做空:新止损须高于加仓价"
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if tp >= e1:
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return None, "做空:首仓止盈须低于当前持仓均价参考"
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q2_raw, err = solve_add_amount_for_total_risk(
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direction,
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qty_existing,
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entry_existing,
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entry_add,
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sl,
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risk_budget,
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contract_size,
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)
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if err:
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return None, err
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q2 = amount_precise(float(q2_raw))
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if q2 is None or q2 <= 0:
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return None, "加仓张数低于交易所最小精度"
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new_qty = float(qty_existing) + float(q2)
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new_avg = (float(qty_existing) * float(entry_existing) + float(q2) * entry_add) / new_qty
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cs = float(contract_size) if contract_size else 1.0
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if direction == "long":
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loss_at_sl = (new_avg - sl) * new_qty * cs
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reward_at_tp = (tp - new_avg) * new_qty * cs
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else:
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loss_at_sl = (sl - new_avg) * new_qty * cs
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reward_at_tp = (new_avg - tp) * new_qty * cs
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return {
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"add_amount_raw": q2,
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"qty_after": new_qty,
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"avg_entry_after": new_avg,
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"add_price": entry_add,
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"new_stop_loss": sl,
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"loss_at_sl_usdt": loss_at_sl,
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"reward_at_tp_usdt": reward_at_tp,
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}, 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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exchange_id: str = "0",
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base: str = "ETH",
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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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market, amount_precise, merr = _resolve_market(exchange_id, base)
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if merr or not market or not amount_precise:
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return None, merr or "无法解析合约"
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contract_size = float(market.get("contract_size") or 1.0)
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px_dec = int(market.get("price_decimals") or 4)
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amt_dec = int(market.get("amount_decimals") or 4)
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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, contract_size)
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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_p = amount_precise(float(qty))
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if qty_p is None or qty_p <= 0:
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return None, "首仓张数低于交易所最小精度"
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qty_f = float(qty_p)
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avg = entry
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rows: list[dict[str, Any]] = []
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cs = contract_size
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if direction == "long":
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first_loss = (avg - initial_sl) * qty_f * cs
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first_profit = (tp - avg) * qty_f * cs
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else:
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first_loss = (initial_sl - avg) * qty_f * cs
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first_profit = (avg - tp) * qty_f * cs
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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, px_dec),
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"stop_loss": _round(initial_sl, px_dec),
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"add_contracts": _round(qty_f, amt_dec),
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"total_contracts": _round(qty_f, amt_dec),
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"avg_entry": _round(avg, px_dec),
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"take_profit": _round(tp, px_dec),
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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
|
|
preview, err = _roll_leg_preview(
|
|
direction=direction,
|
|
qty_existing=current_qty,
|
|
entry_existing=current_avg,
|
|
take_profit=tp,
|
|
add_price=leg["add_price"],
|
|
new_stop_loss=leg["new_stop_loss"],
|
|
risk_budget=risk_budget,
|
|
contract_size=cs,
|
|
amount_precise=amount_precise,
|
|
)
|
|
if err:
|
|
return None, f"滚仓第 {leg_no} 次:{err}"
|
|
if not preview:
|
|
return None, f"滚仓第 {leg_no} 次计算失败"
|
|
|
|
current_qty = float(preview["qty_after"])
|
|
current_avg = float(preview["avg_entry_after"])
|
|
loss = preview.get("loss_at_sl_usdt")
|
|
reward = preview.get("reward_at_tp_usdt")
|
|
rows.append(
|
|
{
|
|
"label": f"滚仓{leg_no}",
|
|
"leg_index": leg_no,
|
|
"already_done": leg_no <= done,
|
|
"entry_or_add_price": _round(preview.get("add_price"), px_dec),
|
|
"stop_loss": _round(preview.get("new_stop_loss"), px_dec),
|
|
"add_contracts": _round(preview.get("add_amount_raw"), amt_dec),
|
|
"total_contracts": _round(current_qty, amt_dec),
|
|
"avg_entry": _round(current_avg, px_dec),
|
|
"take_profit": _round(tp, px_dec),
|
|
"loss_at_sl_u": _round(loss),
|
|
"profit_at_tp_u": _round(reward),
|
|
"rr": _money_rr(reward, loss),
|
|
}
|
|
)
|
|
|
|
last = rows[-1]
|
|
return {
|
|
"direction": direction,
|
|
"capital_usdt": _round(capital),
|
|
"risk_percent": _round(rp, 2),
|
|
"risk_budget_u": _round(risk_budget),
|
|
"entry_price": _round(entry, px_dec),
|
|
"stop_loss": _round(initial_sl, px_dec),
|
|
"take_profit": _round(tp, px_dec),
|
|
"legs_done": done,
|
|
"roll_legs_planned": len(legs_in),
|
|
"first_contracts": _round(qty_f, amt_dec),
|
|
"final_contracts": last.get("total_contracts"),
|
|
"final_avg_entry": last.get("avg_entry"),
|
|
"final_loss_at_sl_u": last.get("loss_at_sl_u"),
|
|
"final_profit_at_tp_u": last.get("profit_at_tp_u"),
|
|
"final_rr": last.get("rr"),
|
|
"market": market,
|
|
"rows": rows,
|
|
}, None
|