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crypto_okx/lib/hedge_plan/hedge_plan_option_primary_lib.py
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dekun a1abe159fa Initial standalone crypto_okx with one-click deploy.
Add deploy/manage.sh bootstrap for git.bz121.com/dekun/crypto_okx and point docs at this repo.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 20:00:59 +08:00

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"""永期「以期权为主」:定仓、方向映射、目标位与净利口径(纯函数为主)."""
from __future__ import annotations
import math
import os
from typing import Any, Optional
PREMIUM_EXEC_FACTOR = 0.95
DEFAULT_MIN_HOURS = 36.0
DEFAULT_STRIKE_INTERVAL = 15.0
DEFAULT_PERP_LEVERAGE = 100
DEFAULT_OPT_LEVERAGE_ITM_ATM = 100.0
DEFAULT_OPT_LEVERAGE_OTM = 200.0
DEFAULT_RATIO_ITM_ATM = 2.0
DEFAULT_RATIO_OTM = 4.0
OTM_LEV_FLOOR = 180.0
def _sf(v: Any) -> Optional[float]:
if v is None or v == "":
return None
try:
return float(v)
except (TypeError, ValueError):
return None
def is_option_primary(body_or_plan: dict[str, Any] | None) -> bool:
if not body_or_plan:
return False
v = body_or_plan.get("option_primary")
if v in (True, 1, "1", "true", "yes", "on"):
return True
try:
return int(v or 0) == 1
except (TypeError, ValueError):
return False
def fee_rate() -> float:
try:
return max(0.0, float(os.getenv("HEDGE_PLAN_FEE_RATE") or os.getenv("OKX_TAKER_FEE") or "0.0005"))
except (TypeError, ValueError):
return 0.0005
def floor2(v: float) -> float:
"""ETH 数量向下取两位小数."""
if v <= 0:
return 0.0
return math.floor(float(v) * 100.0 + 1e-12) / 100.0
def opt_type_for_view(direction: str) -> str:
"""看法做多→Call,做空→Put."""
return "P" if str(direction or "").strip().lower() == "short" else "C"
def perp_direction_for_view(direction: str) -> str:
"""看法做多→永续空,做空→永续多."""
return "long" if str(direction or "").strip().lower() == "short" else "short"
def default_opt_leverage(moneyness: str) -> float:
m = (moneyness or "").strip().lower()
return DEFAULT_OPT_LEVERAGE_OTM if m == "otm" else DEFAULT_OPT_LEVERAGE_ITM_ATM
def default_ratio(moneyness: str) -> float:
m = (moneyness or "").strip().lower()
return DEFAULT_RATIO_OTM if m == "otm" else DEFAULT_RATIO_ITM_ATM
def effective_min_opt_leverage(moneyness: str, configured: Any) -> float:
cfg = _sf(configured)
base = cfg if cfg is not None and cfg > 0 else default_opt_leverage(moneyness)
if (moneyness or "").strip().lower() == "otm":
return max(base, OTM_LEV_FLOOR)
return base
def hours_to_expiry_from_ms(exp_ms: Any, *, now_ms: Optional[float] = None) -> Optional[float]:
exp = _sf(exp_ms)
if exp is None or exp <= 0:
return None
# OKX exp 多为毫秒
if exp < 1e12:
exp *= 1000.0
now = now_ms if now_ms is not None else __import__("time").time() * 1000.0
return (exp - now) / 3600000.0
def target_hit(*, view_side: str, index_px: float, strike: float, points: float) -> bool:
"""相对 K 的点数目标:做多 index≥K+N;做空 index≤KN.点数须 >0."""
n = float(points or 0)
k = float(strike)
s = float(index_px)
if n <= 0 or k <= 0 or s <= 0:
return False
side = str(view_side or "").strip().lower()
if side == "short":
return s <= (k - n)
return s >= (k + n)
def option_bid_liquidity_ok(bid: Any, bid_sz: Any, *, need_sheets: float = 0) -> tuple[bool, str]:
b = _sf(bid)
if b is None or b <= 0:
return False, "暂无买一报价,无法平期权"
sz = _sf(bid_sz)
if sz is not None and sz <= 0:
return False, "买一深度为 0,无法平期权"
need = float(need_sheets or 0)
if need > 0 and sz is not None and sz + 1e-12 < need:
return False, f"买一深度不足(需 {need:g} 张,买一 {sz:g})"
return True, ""
def size_from_premium(
*,
premium_budget: float,
ask: float,
ct_mult: float,
ratio: float,
contract_size: float,
exec_factor: float = PREMIUM_EXEC_FACTOR,
) -> dict[str, Any]:
"""权利金×0.95 → ETH 两位小数 → 期权张 → 永续跟比例."""
budget = float(premium_budget or 0)
a = float(ask or 0)
ct = float(ct_mult or 0.01)
r = float(ratio or 0)
cs = float(contract_size or 0.01)
usable = budget * float(exec_factor or PREMIUM_EXEC_FACTOR)
if budget <= 0 or a <= 0 or ct <= 0 or r <= 0 or cs <= 0:
return {
"ok": False,
"msg": "定仓参数无效",
"usable_premium": round(usable, 4),
"eth_qty": 0.0,
"sheets": 0.0,
"perp_eth": 0.0,
"contracts": 0.0,
}
# ask 为每 1 币权利金;ETH 数量 = usable / ask
eth_qty = floor2(usable / a)
if eth_qty <= 0:
return {
"ok": False,
"msg": "权利金不足以买入 0.01 ETH 名义期权",
"usable_premium": round(usable, 4),
"eth_qty": 0.0,
"sheets": 0.0,
"perp_eth": 0.0,
"contracts": 0.0,
}
sheets = eth_qty / ct
# 张数向下取整到整数张(OKX 期权常见整张)
sheets_i = float(math.floor(sheets + 1e-12))
if sheets_i <= 0:
return {
"ok": False,
"msg": "换算期权张数不足 1 张",
"usable_premium": round(usable, 4),
"eth_qty": eth_qty,
"sheets": 0.0,
"perp_eth": 0.0,
"contracts": 0.0,
}
# 用整张回写 ETH,保持与下单一致
eth_qty = round(sheets_i * ct, 2)
perp_eth = eth_qty / r
contracts = perp_eth / cs
premium_est = a * sheets_i * ct
return {
"ok": True,
"msg": "",
"usable_premium": round(usable, 4),
"eth_qty": eth_qty,
"sheets": sheets_i,
"perp_eth": round(perp_eth, 6),
"contracts": contracts,
"premium_est": round(premium_est, 4),
"ratio": r,
"exec_factor": float(exec_factor or PREMIUM_EXEC_FACTOR),
}
def estimate_combo_net_pnl(
*,
view_side: str,
strike: float,
index_px: float,
ask_open: float,
bid: float,
sheets: float,
ct_mult: float,
perp_direction: str,
perp_entry: float,
perp_mark: float,
contracts: float,
contract_size: float,
fee: Optional[float] = None,
) -> dict[str, Any]:
"""组合净利(扣费);平仓/卖出手续费按买入费率估算."""
fr = fee if fee is not None else fee_rate()
ct = float(ct_mult or 0.01)
sh = float(sheets or 0)
a = float(ask_open or 0)
b = float(bid or 0)
premium = a * sh * ct
opt_proceeds = b * sh * ct
opt_open_fee = premium * fr
opt_close_fee = opt_proceeds * fr # 卖出费用按买入费率
opt_net = opt_proceeds - premium - opt_open_fee - opt_close_fee
coins = float(contracts or 0) * float(contract_size or 0.01)
entry = float(perp_entry or 0)
mark = float(perp_mark or 0)
pd = str(perp_direction or "").strip().lower()
if pd == "short":
perp_gross = (entry - mark) * coins
else:
perp_gross = (mark - entry) * coins
perp_notional_open = abs(entry * coins)
perp_notional_close = abs(mark * coins)
perp_open_fee = perp_notional_open * fr
perp_close_fee = perp_notional_close * fr
perp_net = perp_gross - perp_open_fee - perp_close_fee
total = opt_net + perp_net
return {
"opt_net": round(opt_net, 4),
"perp_net": round(perp_net, 4),
"net": round(total, 4),
"fee_rate": fr,
"premium": round(premium, 4),
"opt_proceeds": round(opt_proceeds, 4),
}
def validate_option_primary_moneyness(
*,
opt_type: str,
strike: Any,
index_px: Any,
ask: Any = None,
moneyness: str = "atm",
strike_interval: Any = DEFAULT_STRIKE_INTERVAL,
min_hours: Any = DEFAULT_MIN_HOURS,
hours_to_expiry: Any = None,
min_opt_leverage: Any = None,
) -> Optional[str]:
from lib.hedge_plan.hedge_plan_moneyness_lib import (
classify_moneyness,
is_atm_or_otm,
is_itm_or_atm,
normalize_opt_type,
)
o = normalize_opt_type(opt_type)
k = _sf(strike)
s = _sf(index_px)
if o not in ("C", "P"):
return "期权类型无效"
if k is None or s is None or s <= 0:
return "行权价或指数无效"
m_want = (moneyness or "atm").strip().lower()
m_got = classify_moneyness(opt_type=o, strike=k, index_px=s)
if m_want == "itm":
if not is_itm_or_atm(opt_type=o, strike=k, index_px=s):
return "所选须为实值或平值"
elif m_want == "atm":
# 平值:距指数在间隔内即可(不强制 classify==atm)
pass
elif m_want == "otm":
if m_got == "itm":
return "虚值模式不可选实值"
if not is_atm_or_otm(opt_type=o, strike=k, index_px=s):
return "虚值模式须选虚值或平值档"
else:
return "期权类型(实/平/虚)无效"
interval = float(_sf(strike_interval) or DEFAULT_STRIKE_INTERVAL)
if interval > 0 and abs(k - s) > interval + 1e-9:
return f"行权价偏离指数 {abs(k - s):.1f} > 间隔 {interval:.0f}"
min_h = float(_sf(min_hours) or DEFAULT_MIN_HOURS)
h = _sf(hours_to_expiry)
if min_h > 0 and h is not None and h < min_h:
return f"剩余到期约 {h:.1f}h,低于最短 {min_h:.0f}h"
a = _sf(ask)
min_lev = effective_min_opt_leverage(m_want if m_want != "atm" else m_got or "atm", min_opt_leverage)
if min_lev > 0 and a is not None and a > 0:
lev = s / a
if lev < min_lev:
return f"期权杠杆 S/ask≈{lev:.0f} 低于门槛 {min_lev:.0f}"
return None
def validate_option_primary_watch(body: dict[str, Any]) -> Optional[str]:
"""盯盘启动校验:只要参数,不要求已选具体合约."""
need = (
"direction",
"exchange_symbol",
"premium_budget",
"option_target_points",
"perp_target_points",
"option_perp_ratio",
"option_leverage",
)
for k in need:
if body.get(k) in (None, ""):
return f"缺少字段: {k}"
try:
if float(body["premium_budget"]) <= 0:
return "权利金须大于 0"
if float(body["option_target_points"]) <= 0 or float(body["perp_target_points"]) <= 0:
return "目标位点数须大于 0"
if float(body["option_perp_ratio"]) <= 0:
return "期权永续比例须大于 0"
if float(body["option_leverage"]) <= 0:
return "期权杠杆须大于 0"
lev_perp = _sf(body.get("leverage"))
if lev_perp is not None and lev_perp <= 0:
return "永续杠杆须大于 0"
except (TypeError, ValueError):
return "数值字段无效"
direction = str(body.get("direction") or "").strip().lower()
if direction not in ("long", "short"):
return "方向须为 long 或 short"
moneyness = str(body.get("moneyness") or body.get("option_moneyness") or "otm").strip().lower()
if moneyness not in ("itm", "atm", "otm"):
return "期权类型(实/平/虚)无效"
return None
def validate_option_primary_start(body: dict[str, Any]) -> Optional[str]:
need = (
"direction",
"contracts",
"opt_inst_id",
"sheets",
"exchange_symbol",
"premium_budget",
"option_target_points",
"perp_target_points",
"option_perp_ratio",
)
for k in need:
if body.get(k) in (None, ""):
return f"缺少字段: {k}"
try:
if float(body["contracts"]) <= 0 or float(body["sheets"]) <= 0:
return "张数必须大于 0"
if float(body["premium_budget"]) <= 0:
return "权利金须大于 0"
if float(body["option_target_points"]) <= 0 or float(body["perp_target_points"]) <= 0:
return "目标位点数须大于 0"
if float(body["option_perp_ratio"]) <= 0:
return "期权永续比例须大于 0"
except (TypeError, ValueError):
return "数值字段无效"
direction = str(body.get("direction") or "").strip().lower()
if direction not in ("long", "short"):
return "方向须为 long 或 short"
opt_type = str(body.get("opt_type") or "").strip().upper()
if not opt_type:
inst = str(body.get("opt_inst_id") or "")
if inst.upper().endswith("-P"):
opt_type = "P"
elif inst.upper().endswith("-C"):
opt_type = "C"
want = opt_type_for_view(direction)
if opt_type != want:
return f"以期权为主时做{'' if direction == 'long' else ''}须用 {'Call' if want == 'C' else 'Put'}"
moneyness = str(body.get("moneyness") or body.get("option_moneyness") or "otm").strip().lower()
from lib.hedge_plan.hedge_plan_moneyness_lib import parse_strike_from_inst
strike = body.get("strike")
if strike in (None, ""):
strike = parse_strike_from_inst(str(body.get("opt_inst_id") or ""))
index_px = body.get("index_px") or body.get("entry")
return validate_option_primary_moneyness(
opt_type=opt_type,
strike=strike,
index_px=index_px,
ask=body.get("ask"),
moneyness=moneyness,
strike_interval=body.get("strike_interval", DEFAULT_STRIKE_INTERVAL),
min_hours=body.get("min_option_hours", DEFAULT_MIN_HOURS),
hours_to_expiry=body.get("hours_to_expiry"),
min_opt_leverage=body.get("option_leverage") or body.get("min_opt_leverage"),
)
def pick_option_primary_candidate(
chain: dict[str, Any],
*,
direction: str,
moneyness: str = "otm",
strike_interval: Any = DEFAULT_STRIKE_INTERVAL,
min_hours: Any = DEFAULT_MIN_HOURS,
min_opt_leverage: Any = None,
) -> Optional[dict[str, Any]]:
"""从期权链挑最近达标合约(间隔+虚实值+杠杆门)."""
from lib.hedge_plan.hedge_plan_moneyness_lib import classify_moneyness
want = opt_type_for_view(direction)
m_want = (moneyness or "otm").strip().lower()
interval = float(_sf(strike_interval) or DEFAULT_STRIKE_INTERVAL)
min_h = float(_sf(min_hours) or DEFAULT_MIN_HOURS)
try:
idx = float(chain.get("index_px") or 0)
except (TypeError, ValueError):
idx = 0.0
if idx <= 0:
return None
best: Optional[dict[str, Any]] = None
best_dist: Optional[float] = None
for exp in chain.get("expiries") or []:
h = hours_to_expiry_from_ms(exp.get("exp_time"))
if min_h > 0 and h is not None and h < min_h:
continue
for c in exp.get("contracts") or []:
if str(c.get("opt_type") or "").upper() != want:
continue
try:
k = float(c.get("strike") or 0)
ask = float(c.get("ask") or 0)
except (TypeError, ValueError):
continue
if k <= 0 or ask <= 0:
continue
if interval > 0 and abs(k - idx) > interval + 1e-9:
continue
m_got = classify_moneyness(opt_type=want, strike=k, index_px=idx)
if m_want == "itm" and m_got not in ("itm", "atm"):
continue
if m_want == "atm" and m_got != "atm":
continue
if m_want == "otm" and m_got == "itm":
continue
min_lev = effective_min_opt_leverage(m_want if m_want != "atm" else (m_got or "atm"), min_opt_leverage)
if min_lev > 0 and idx / ask < min_lev - 1e-9:
continue
dist = abs(k - idx)
if best is None or best_dist is None or dist < best_dist:
best = {
**dict(c),
"hours_to_expiry": h,
"exp_time": exp.get("exp_time"),
"moneyness": m_got,
"index_px": idx,
"leverage": round(idx / ask, 1),
}
best_dist = dist
return best
def build_option_primary_preview(body: dict[str, Any]) -> dict[str, Any]:
"""情景:期权目标 / 永续目标粗估净利."""
view = str(body.get("direction") or "long").lower()
strike = float(body["strike"])
n = float(body.get("option_target_points") or 0)
m = float(body.get("perp_target_points") or 0)
ask = float(body.get("ask") or 0)
sheets = float(body.get("sheets") or 0)
ct = float(body.get("ct_mult") or 0.01)
contracts = float(body.get("contracts") or 0)
cs = float(body.get("contract_size") or 0.01)
entry = float(body.get("entry") or body.get("index_px") or 0)
perp_dir = perp_direction_for_view(view)
# 粗估到点时期权卖价:按内在价值近似(下限 0)
def intrinsic(spot: float) -> float:
o = opt_type_for_view(view)
if o == "C":
return max(0.0, spot - strike)
return max(0.0, strike - spot)
scenarios = []
for label, pts, reason in (
("期权目标", n, "opt_target_points"),
("永续目标", m, "perp_target_points"),
):
spot = strike + pts if view != "short" else strike - pts
bid_est = max(ask * 0.5, intrinsic(spot) * 0.85) # 保守估价
net = estimate_combo_net_pnl(
view_side=view,
strike=strike,
index_px=spot,
ask_open=ask,
bid=bid_est,
sheets=sheets,
ct_mult=ct,
perp_direction=perp_dir,
perp_entry=entry,
perp_mark=spot,
contracts=contracts,
contract_size=cs,
)
scenarios.append(
{
"label": label,
"reason": reason,
"index": spot,
"perp_pnl": net["perp_net"],
"options_pnl": net["opt_net"],
"total": net["net"],
"note": "扣费净利估价;平仓费按买入费率",
}
)
premium = ask * sheets * ct
return {
"plan_type": "perp_options",
"option_primary": True,
"summary": {
"premium_paid": round(premium, 4),
"usable_premium": round(float(body.get("premium_budget") or 0) * PREMIUM_EXEC_FACTOR, 4),
"opt_target_total": scenarios[0]["total"] if scenarios else None,
"perp_target_total": scenarios[1]["total"] if len(scenarios) > 1 else None,
"perp_direction": perp_dir,
"opt_type": opt_type_for_view(view),
},
"scenarios": scenarios,
}