根据公众号里面的 Tick数据载入和策略回测 已经实现了tick回测了，
在有UI下，进行bar级别的回测，直接点击参数优化就搞定了，请教tick级别回测无UI下怎么来实现参数优化？ 具体点的代码，新手初学，谢谢
from vnpy.app.cta_strategy.backtesting import BacktestingEngine, OptimizationSetting
from vnpy.app.cta_strategy.base import BacktestingMode
from datetime import datetime
from vnpy.app.cta_strategy.strategies.brush_backtest_strategy import BrushBacktestStrategy
engine = BacktestingEngine()
engine.set_parameters(
vt_symbol="rb2001.SHFE",
interval="1m",
start=datetime(2019, 10, 24),
end=datetime(2019, 10, 26),
rate=1/10000,
slippage=0,
size=10,
pricetick=1,
capital=10_000,
mode=BacktestingMode.TICK
)
engine.add_strategy(BrushBacktestStrategy, {})
engine.load_data()
engine.run_backtesting()
df = engine.calculate_result()
engine.calculate_statistics()
engine.show_chart()
trades = engine.trades
for value in trades.values():
print("时间:",value.datetime,value.direction.value,value.offset.value, "价格：",value.price, "数量：",value.volume)
if value.offset.value == "平":
print("---------------------------------------------------------")
