Close Agent 策略
概述
Close Agent 策略是一款风控辅助工具,对应原始的 MQL CloseAgent 智能交易系统。策略本身不会开仓,而是持续监控已有仓位:当价格突破布林带边界并且 RSI 指标进入极值区时,自动平仓。它可以筛选人工开仓或其他策略生成的仓位,并在浮动盈利达到设定阈值时一键清仓。
数据与指标
- K 线: 可配置周期(默认 5 分钟),用于驱动所有指标。
- 布林带(周期 21,带宽 2): 用于识别价格是否冲破上轨或下轨。
- RSI 相对强弱指数(周期 13): 判断市场是否处于超买(>70)或超卖(<30)状态。
- Level1 报价: 订阅最新买价/卖价,以便尽量按实际盘口条件执行平仓。
参数
- Close Mode (
CloseMode): 选择哪些仓位需要监控。Manual– 仅处理没有当前策略标识的仓位(人工或其他策略开仓)。Auto– 仅处理由当前策略实例开出的仓位。Both– 监控该标的上的所有仓位。
- Candle Type (
CandleType): 计算布林带与 RSI 时使用的时间框架。 - Operation Mode (
OperationMode):LiveBar– 使用最新生成中的 K 线,响应更快但数据可能尚未收盘。NewBar– 仅在 K 线收盘后评估信号,更稳健但触发稍慢。
- Close All Target (
CloseAllTarget): 当策略的浮动盈亏PnL达到此绝对值时,立即关闭所有受监控仓位。 - Enable Alerts (
EnableAlerts): 开启后,每次平仓都会在日志中输出提示,并显示估算的收益。
交易逻辑
- 订阅 Level1 报价和配置的 K 线序列,同步更新布林带与 RSI。
- 维护一个小型历史缓冲区,在
OperationMode = NewBar时可以获得最近一次完整收盘的数据。 - 若设置了全局盈利目标且
PnL达到阈值,则立即按市价关闭所有符合过滤条件的仓位。 - 针对监控标的的每个仓位逐一检查:
- 多头仓位: 当最优买价突破布林带上轨、RSI 超过 70 且价格仍高于平均开仓价时平仓。
- 空头仓位: 当最优卖价跌破布林带下轨、RSI 低于 30 且价格仍低于平均开仓价时平仓。
- 平仓时优先使用实时买卖价,如无可用报价则回退至最新处理过的 K 线收盘价,避免遗漏信号。
使用建议
- 该策略定位为风险控制层,假设仓位可能由外部策略或人工开立。
- 由于仅负责平仓,建议与其他交易策略同时运行,以便在出现极端行情时及时退出。
- 开启
EnableAlerts后,Designer 日志会显示与原始 MQL 提醒一致的提示信息。
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Closes open positions when price stretches beyond Bollinger Bands and RSI reaches extreme values.
/// Adds SMA crossover entries for backtesting.
/// </summary>
public class CloseAgentStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _bollingerLength;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<decimal> _rsiOversold;
/// <summary>
/// Candle type used to calculate indicators.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Length of the RSI indicator.
/// </summary>
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
/// <summary>
/// Length of the Bollinger Bands indicator.
/// </summary>
public int BollingerLength
{
get => _bollingerLength.Value;
set => _bollingerLength.Value = value;
}
/// <summary>
/// RSI threshold for overbought.
/// </summary>
public decimal RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
/// <summary>
/// RSI threshold for oversold.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// Initializes parameters.
/// </summary>
public CloseAgentStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe used for indicators", "General");
_rsiLength = Param(nameof(RsiLength), 13)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Indicators");
_bollingerLength = Param(nameof(BollingerLength), 21)
.SetGreaterThanZero()
.SetDisplay("Bollinger Length", "Bollinger Bands period", "Indicators");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetRange(0m, 100m)
.SetDisplay("RSI Overbought", "Overbought threshold", "Signals");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetRange(0m, 100m)
.SetDisplay("RSI Oversold", "Oversold threshold", "Signals");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var smaFast = new SimpleMovingAverage { Length = 10 };
var smaSlow = new SimpleMovingAverage { Length = 30 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(smaFast, smaSlow, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (crossUp && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevFast = fast;
_prevSlow = slow;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class close_agent_strategy(Strategy):
def __init__(self):
super(close_agent_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe used for indicators", "General")
self._rsi_length = self.Param("RsiLength", 13) \
.SetGreaterThanZero() \
.SetDisplay("RSI Length", "RSI period", "Indicators")
self._bollinger_length = self.Param("BollingerLength", 21) \
.SetGreaterThanZero() \
.SetDisplay("Bollinger Length", "Bollinger Bands period", "Indicators")
self._rsi_overbought = self.Param("RsiOverbought", 70.0) \
.SetDisplay("RSI Overbought", "Overbought threshold", "Signals")
self._rsi_oversold = self.Param("RsiOversold", 30.0) \
.SetDisplay("RSI Oversold", "Oversold threshold", "Signals")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def RsiLength(self):
return self._rsi_length.Value
@RsiLength.setter
def RsiLength(self, value):
self._rsi_length.Value = value
@property
def BollingerLength(self):
return self._bollinger_length.Value
@BollingerLength.setter
def BollingerLength(self, value):
self._bollinger_length.Value = value
@property
def RsiOverbought(self):
return self._rsi_overbought.Value
@RsiOverbought.setter
def RsiOverbought(self, value):
self._rsi_overbought.Value = value
@property
def RsiOversold(self):
return self._rsi_oversold.Value
@RsiOversold.setter
def RsiOversold(self, value):
self._rsi_oversold.Value = value
def OnReseted(self):
super(close_agent_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(close_agent_strategy, self).OnStarted2(time)
self._has_prev = False
sma_fast = SimpleMovingAverage()
sma_fast.Length = 10
sma_slow = SimpleMovingAverage()
sma_slow.Length = 30
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(sma_fast, sma_slow, self._process_candle).Start()
def _process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fv = float(fast)
sv = float(slow)
if not self._has_prev:
self._prev_fast = fv
self._prev_slow = sv
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fv > sv
cross_down = self._prev_fast >= self._prev_slow and fv < sv
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return close_agent_strategy()