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big-qmt/py-client/strategy/zt/boot.py

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"""做 T 策略启动器。
该模块负责组合 SDK配置状态存储和做 T 策略组件 main.py 调用
"""
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from __future__ import annotations
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import logging as log
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import time
from datetime import datetime, time as clock_time
import config
from libs.calc import trading_time
from libs.market import market_allow_open
from libs.signal import init_signals
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from libs.collector import collector_push
from libs.grid_take_profit import GridTrailingTracker
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from sdk import Client
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from libs.order import OrderBook
from libs.watch import DipWatch
from libs.runtime import Runtime
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from .state import TState, SOLD
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from .open import open_signal
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from .positions import manage_positions
def StartZT() -> None:
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"""初始化做 T 策略,并以 30 秒间隔持续执行。"""
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with Client(
config.global_config.qmt_base_url,
config.global_config.qmt_token,
config.HTTP_TIMEOUT,
) as client:
state = TState.for_strategy(
config.global_config.qmt_data_dir, "zt", config.account_config.account_id
)
run = Runtime(
client=client,
global_cfg=config.global_config,
account_cfg=config.account_config,
orders=OrderBook("zt"),
open_watch=DipWatch(),
add_watch=DipWatch(),
profit_tracker=GridTrailingTracker(config.account_config.grid_step_pct),
)
log.info(
"[ZT 启动] 账户=%s,底仓信号=dcm状态文件=%s",
run.account_cfg.account_id,
state.path,
)
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while True:
now = datetime.now()
if now.time() >= clock_time(15):
# 收盘前最后一次只读对账,不发新单;未完成买回继续持久保存。
try:
portfolio = client.portfolio()
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deals = client.deals()
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state.reconcile(
list(portfolio.positions.values()),
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deals,
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now.date().isoformat(),
)
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except Exception:
log.exception("[ZT] 收盘对账失败,保留本地待确认记录")
for item in state.items.values():
if item.phase == SOLD or state.busy(item.code):
log.warning("[ZT] 收盘仍有待完成轮次:%s", item.code)
return
# 单轮失败不能杀死唯一的交易定时线程。
try:
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RunOnce(run, state)
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except Exception:
log.exception("[ZT] 本 tick 执行失败,下一个 tick 继续")
# 计算距离下一个目标时间点0秒或30秒的等待时间。
time.sleep(30 - datetime.now().second % 30)
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def RunOnce(run: Runtime, state: TState) -> None:
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"""账户快照 → 成交对账 → 做 T 管理 → dcm 建仓,共用一份资金预算。"""
now = datetime.now()
if not trading_time(now) or now.time() >= clock_time(15):
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return
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today = now.date().isoformat()
started_at = time.monotonic()
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# 1. 一次获取资产、持仓和订单,并清理过期订单。
portfolio = run.client.portfolio()
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deals = run.client.deals()
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positions = list(portfolio.positions.values())
run.orders.refresh(run.client, portfolio.orders)
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# 状态只按真实成交记账,不使用委托状态推算数量和成本。
state.reconcile(positions, deals, today)
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# 2. 获取本策略的信号开仓数据;信号失败不阻断已有做 T 买回。
try:
signals = init_signals(run.global_cfg, ["dcm"])
except Exception:
log.exception("[ZT] 获取 dcm 信号失败,本轮只管理已有底仓")
signals = []
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position_codes = {
position.stock_code for position in positions if position.volume > 0
}
candidates = [
signal
for signal in signals
if signal.signal_key == "dcm" and signal.code not in position_codes
]
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# 3. 获取持仓和待开仓证券的实时行情 tick零持仓的待买回证券也包含在内。
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codes = list(
dict.fromkeys(
list(position_codes)
+ list(state.items)
+ [signal.code for signal in candidates]
)
)
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ticks = run.client.full_tick(codes) if codes else {}
now = datetime.now() # 网络请求可能跨过尾盘边界,提交前重新判断。
if not trading_time(now) or now.time() >= clock_time(15):
return
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# 4. 先完成买回,避免开底仓抢占资金;交易逻辑串行,状态无需多线程写入。
available = max(0.0, portfolio.assets.available)
# 未确认买单可能尚未反映在资金快照中,保守预留,宁可少买也不重复使用。
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for pending in state.pending.values():
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if pending.kind != "sell":
tick = ticks.get(pending.code)
if tick is None or tick.last_price <= 0:
available = 0.0
break
available = max(0.0, available - pending.qty * tick.last_price * 1.01)
force = now.time() >= clock_time(14, 50)
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available = manage_positions(run, state, ticks, positions, available, today, force)
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# 5. 验证可用资金;低于资金安全线时禁止开新仓,尾盘只完成做 T 买回。
reserve = max(0.0, portfolio.assets.total * run.account_cfg.min_cash_ratio)
# 未完成的卖出/买回可能继续占用资金,不再额外开底仓。
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outstanding = bool(state.pending) or any(
item.phase == SOLD for item in state.items.values()
)
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if not force and not outstanding and market_allow_open() and available > reserve:
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open_signal(run, state, ticks, candidates, available - reserve)
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# 6. 数据采集不与交易逻辑争用状态;采集函数自身隔离传输异常。
collector_push(run.account_cfg.account_id, portfolio.assets, positions)
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log.info(
"[ZT] 本轮完成,底仓=%d,待确认=%d,耗时=%d毫秒",
len(state.items),
len(state.pending),
int((time.monotonic() - started_at) * 1000),
)