策略基础模板
此文件夹提供构建自定义交易思路的最小框架。策略仅计算一个指数移动平均线,并暴露常见参数:是否启用多头或空头、可选的止盈和止损以及优化区间。开发者可在预留位置插入自己的进出场逻辑,以快速原型化新系统。
模板还展示了如何启动内置的保护模块并使用百分比目标,从而方便地试验不同风险设置。由于没有实际信号,脚本本身不适合直接交易,而是作为进一步研究的起点。
细节
- 入场条件:未实现——请替换为自定义规则。
- 多/空:通过参数配置。
- 出场条件:未实现——请替换为自定义规则。
- 止损:可选的百分比止盈和止损由保护模块处理。
- 默认参数:
- EMA 长度 = 10。
- 止盈 = 1.2%,止损 = 1.8%(默认关闭)。
- 过滤器:
- 类别:模板
- 方向:可配置
- 指标:EMA
- 止损:可选
- 复杂度:低
- 周期:任意
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:由用户决定
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Strategy Base - EMA trend following strategy.
/// Buys when price crosses above EMA, sells when price crosses below EMA.
/// </summary>
public class StratBaseStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private ExponentialMovingAverage _ema;
private decimal _prevClose;
private decimal _prevEma;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public StratBaseStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_emaLength = Param(nameof(EmaLength), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA period", "Moving Averages");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ema = null;
_prevClose = 0;
_prevEma = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ema, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ema);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal emaVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_ema.IsFormed)
{
_prevClose = candle.ClosePrice;
_prevEma = emaVal;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevClose = candle.ClosePrice;
_prevEma = emaVal;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevClose = candle.ClosePrice;
_prevEma = emaVal;
return;
}
if (_prevClose == 0 || _prevEma == 0)
{
_prevClose = candle.ClosePrice;
_prevEma = emaVal;
return;
}
// Price crosses above EMA
var crossUp = candle.ClosePrice > emaVal && _prevClose <= _prevEma;
// Price crosses below EMA
var crossDown = candle.ClosePrice < emaVal && _prevClose >= _prevEma;
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
_prevClose = candle.ClosePrice;
_prevEma = emaVal;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class strat_base_strategy(Strategy):
"""Strategy Base - EMA trend following strategy."""
def __init__(self):
super(strat_base_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._ema_length = self.Param("EmaLength", 20) \
.SetDisplay("EMA Length", "EMA period", "Moving Averages")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._ema = None
self._prev_close = 0.0
self._prev_ema = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(strat_base_strategy, self).OnReseted()
self._ema = None
self._prev_close = 0.0
self._prev_ema = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(strat_base_strategy, self).OnStarted2(time)
self._ema = ExponentialMovingAverage()
self._ema.Length = int(self._ema_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._ema, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, ema_val):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed:
self._prev_close = float(candle.ClosePrice)
self._prev_ema = float(ema_val)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_close = float(candle.ClosePrice)
self._prev_ema = float(ema_val)
return
close = float(candle.ClosePrice)
ema = float(ema_val)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_close = close
self._prev_ema = ema
return
if self._prev_close == 0.0 or self._prev_ema == 0.0:
self._prev_close = close
self._prev_ema = ema
return
cooldown = int(self._cooldown_bars.Value)
cross_up = close > ema and self._prev_close <= self._prev_ema
cross_down = close < ema and self._prev_close >= self._prev_ema
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_close = close
self._prev_ema = ema
def CreateClone(self):
return strat_base_strategy()