1、卡尔曼策略

This commit is contained in:
2025-11-07 16:26:00 +08:00
parent 9358dba814
commit 2eec6452ee
42 changed files with 4680 additions and 23709 deletions

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@@ -1,11 +1,13 @@
# filename: tqsdk_engine.py
import asyncio
import traceback
from datetime import date, datetime, timedelta
from typing import Literal, Type, Dict, Any, List, Optional
import pandas as pd
import uuid
from src.common_utils import generate_strategy_identifier
# 导入你提供的 core_data 中的类型
from src.core_data import Bar, Order, Trade, PortfolioSnapshot
@@ -22,6 +24,7 @@ from tqsdk import (
BacktestFinished,
)
from src.state_repo import MemoryStateRepository
# 导入 TqsdkContext 和 BaseStrategy
from src.tqsdk_context import TqsdkContext
from src.strategies.base_strategy import Strategy # 假设你的策略基类在此路径
@@ -36,15 +39,15 @@ class TqsdkEngine:
"""
def __init__(
self,
strategy_class: Type[Strategy],
strategy_params: Dict[str, Any],
api: TqApi,
roll_over_mode: bool = False, # 是否开启换月模式检测
symbol: str = None,
start_time: Optional[datetime] = None,
end_time: Optional[datetime] = None,
duration_seconds: int = 1,
self,
strategy_class: Type[Strategy],
strategy_params: Dict[str, Any],
api: TqApi,
roll_over_mode: bool = False, # 是否开启换月模式检测
symbol: str = None,
start_time: Optional[datetime] = None,
end_time: Optional[datetime] = None,
duration_seconds: int = 1,
):
"""
初始化 Tqsdk 回测引擎。
@@ -83,7 +86,8 @@ class TqsdkEngine:
# )
# 初始化上下文
self._context: TqsdkContext = TqsdkContext(api=self._api)
identifier = generate_strategy_identifier(strategy_class, strategy_params)
self._context: TqsdkContext = TqsdkContext(api=self._api, state_repository=MemoryStateRepository(identifier))
# 实例化策略,并将上下文传递给它
self._strategy: Strategy = self.strategy_class(
context=self._context, **self.strategy_params
@@ -113,6 +117,8 @@ class TqsdkEngine:
if roll_over_mode:
self.quote = api.get_quote(self.symbol)
self.target_pos_dict = {}
print("TqsdkEngine: 初始化完成。")
@property
@@ -127,7 +133,6 @@ class TqsdkEngine:
异步处理 Context 中排队的订单和取消请求。
"""
# 处理订单
print(self._context.order_queue)
while self._context.order_queue:
order_to_send: Order = self._context.order_queue.popleft()
print(f"Engine: 处理订单请求: {order_to_send}")
@@ -155,7 +160,23 @@ class TqsdkEngine:
if "SHFE" in order_to_send.symbol:
tqsdk_offset = "OPEN"
try:
if "CLOSE" in order_to_send.direction:
current_positions = self._context.get_current_positions()
current_pos_volume = current_positions.get(order_to_send.symbol, 0)
target_volume = None
if order_to_send.direction == 'CLOSE_LONG':
target_volume = current_pos_volume - order_to_send.volume
elif order_to_send.direction == 'CLOSE_SHORT':
target_volume = current_pos_volume + order_to_send.volume
if target_volume is not None:
if order_to_send.symbol not in self.target_pos_dict:
self.target_pos_dict[order_to_send.symbol] = TargetPosTask(self._api, order_to_send.symbol)
self.target_pos_dict[order_to_send.symbol].set_target_volume(target_volume)
else:
# try:
tq_order = self._api.insert_order(
symbol=order_to_send.symbol,
direction=tqsdk_direction,
@@ -181,42 +202,10 @@ class TqsdkEngine:
tq_order.insert_date_time, unit="ns", utc=True
)
# 等待订单状态更新(成交/撤销/报错)
# 在 Tqsdk 中,订单和成交是独立的,通常在 wait_update() 循环中通过 api.is_changing() 检查
# 这里为了模拟同步处理,直接等待订单状态最终确定
# 注意:实际回测中,不应在这里长时间阻塞,而应在主循环中持续 wait_update
# 为了简化适配,这里模拟即时处理,但可能与真实异步行为有差异。
# 更健壮的方式是在主循环中通过订单状态回调更新
# 这里我们假设订单会很快更新状态,或者在下一个 wait_update() 周期中被检测到
self._api.wait_update() # 等待一次更新
# # 检查最终订单状态和成交
# if tq_order.status == "FINISHED":
# # 查找对应的成交记录
# for trade_id, tq_trade in self._api.get_trade().items():
# if tq_trade.order_id == tq_order.order_id and tq_trade.volume > 0: # 确保是实际成交
# # 创建 core_data.Trade 对象
# trade = Trade(
# order_id=tq_trade.order_id,
# fill_time=tafunc.get_datetime_from_timestamp(tq_trade.trade_date_time) if tq_trade.trade_date_time else datetime.now(),
# symbol=order_to_send.symbol, # 使用 Context 中的 symbol
# direction=tq_trade.direction, # 实际成交方向
# volume=tq_trade.volume,
# price=tq_trade.price,
# commission=tq_trade.commission,
# cash_after_trade=self._api.get_account().available,
# positions_after_trade=self._context.get_current_positions(),
# realized_pnl=tq_trade.realized_pnl, # Tqsdk TqTrade 对象有 realized_pnl
# is_open_trade=tq_trade.offset == "OPEN",
# is_close_trade=tq_trade.offset in ["CLOSE", "CLOSETODAY", "CLOSEYESTERDAY"]
# )
# self.trade_history.append(trade)
# print(f"Engine: 成交记录: {trade}")
# break # 找到成交就跳出
# order_to_send.status = tq_order.status # 更新最终状态
except Exception as e:
print(f"Engine: 发送订单 {order_to_send.id} 失败: {e}")
# order_to_send.status = "ERROR"
#
# except Exception as e:
# print(f"Engine: 发送订单 {order_to_send.id} 失败: {e}")
# 处理取消请求
while self._context.cancel_queue:
@@ -254,7 +243,7 @@ class TqsdkEngine:
price = quote.last_price
current_prices[symbol] = price
total_market_value += (
price * qty * quote.volume_multiple
price * qty * quote.volume_multiple
) # volume_multiple 乘数
else:
# 如果没有最新价格使用最近的K线收盘价作为估算
@@ -267,11 +256,11 @@ class TqsdkEngine:
price = last_kline.close
current_prices[symbol] = price
total_market_value += (
price * qty * self._api.get_instrument(symbol).volume_multiple
price * qty * self._api.get_instrument(symbol).volume_multiple
) # 使用 instrument 的乘数
total_value = (
account.available + account.frozen_margin + total_market_value
account.available + account.frozen_margin + total_market_value
) # Tqsdk 的 balance 已包含持仓市值和冻结资金
# Tqsdk 的 total_profit/balance 已经包含了所有盈亏和资金
@@ -344,8 +333,8 @@ class TqsdkEngine:
self._api.wait_update()
if self.roll_over_mode and (
self._api.is_changing(self.quote, "underlying_symbol")
or self._last_underlying_symbol != self.quote.underlying_symbol
self._api.is_changing(self.quote, "underlying_symbol")
or self._last_underlying_symbol != self.quote.underlying_symbol
):
self._last_underlying_symbol = self.quote.underlying_symbol
@@ -355,9 +344,9 @@ class TqsdkEngine:
now_dt = now_dt.tz_convert(BEIJING_TZ)
if (
self.now is not None
and self.now.hour != 13
and now_dt.hour == 13
self.now is not None
and self.now.hour != 13
and now_dt.hour == 13
):
self.main()
@@ -400,8 +389,8 @@ class TqsdkEngine:
)
if (
self.last_processed_bar is None
or self.last_processed_bar.datetime != kline_dt
self.last_processed_bar is None
or self.last_processed_bar.datetime != kline_dt
):
# 设置当前 Bar 到 Context
@@ -410,9 +399,9 @@ class TqsdkEngine:
# Tqsdk 的 is_changing 用于判断数据是否有变化,对于回测遍历 K 线,每次迭代都算作新 Bar
# 如果 kline_row.datetime 与上次不同,则认为是新 Bar
if (
self.roll_over_mode
and self.last_processed_bar is not None
and self._last_underlying_symbol != self.last_processed_bar.symbol
self.roll_over_mode
and self.last_processed_bar is not None
and self._last_underlying_symbol != self.last_processed_bar.symbol
):
self._is_rollover_bar = True
print(
@@ -439,6 +428,8 @@ class TqsdkEngine:
# 记录投资组合快照
self._record_portfolio_snapshot(current_bar.datetime)
else:
if current_bar.volume == 0:
return
self.all_bars.append(current_bar)
self.close_list.append(current_bar.close)