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Trading Panel 控制策略
概述
Trading Panel Strategy 在 StockSharp 中复刻了 MetaTrader 4 平台的 "Trading Panel" 辅助面板。原始 MQL 程序通过按钮切换图表周期和交易品种,而此移植版本把这些操作抽象成策略参数,可由 Designer、终端或自定义界面在运行时调整。
策略本身不会下单,其职责是根据选择的周期和品种管理蜡烛订阅,并记录最新完成蜡烛的收盘信息,为操作者提供与原面板相同的反馈。
主要功能
- 周期切换:支持 M1、M5、M15、M30、H1、H4、D1、W1。修改参数后会立即重新订阅对应的蜡烛。
- 品种查找:可以填写目标证券的标识符。启用
AutoLookupSecurity 时通过 SecurityProvider 自动解析,否则使用策略已绑定的 Security。
- 蜡烛日志:每根完成的蜡烛都会写入日志,包含证券 ID、当前周期和收盘价,用来替代原面板的文本标签。
参数
| 参数 |
说明 |
TimeFrameName |
周期代码(M1、M5、M15、M30、H1、H4、D1、W1),默认 M15。 |
SecurityId |
要跟踪的证券标识,可留空以沿用策略当前的 Security。 |
AutoLookupSecurity |
为 true 时通过 SecurityProvider 自动查找证券。 |
DefaultCandleType |
当输入未知周期时使用的备用 DataType,默认是一分钟蜡烛。 |
工作流程
- 启动:
OnStarted 中解析目标证券与周期,并启动相应的蜡烛订阅。
- 运行时调整:当
TimeFrameName、SecurityId 或 AutoLookupSecurity 发生变化时,策略会停止旧订阅并用新设置重新订阅。
- 蜡烛处理:每当蜡烛完成,更新
LastFinishedCandle 属性并写日志,记录当前设置的反馈。
- 停止:在
OnStopped 或重新配置订阅时,确保先停止旧的订阅。
使用建议
- 在 Designer 中与图表部件搭配使用,可获得与 MT4 面板相同的交互体验;参数编辑器相当于按钮和下拉框。
- 如果策略实例已经由宿主指定了证券,可将
SecurityId 留空。
- 可以把日志输出绑定到界面文本或控制台,以便观察当前周期/品种状态。
与 MQL 版本的差异
- 不再提供图形按钮,而是通过参数控制。
- 不发送任何交易指令,只负责数据订阅与日志反馈。
- 支持的周期列表与原脚本一致,方便从 MT4 迁移。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Trading Panel Control strategy: Williams %R crossover.
/// Buys when Williams %R crosses above -80, sells when crosses below -20.
/// </summary>
public class TradingPanelControlStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _period;
private readonly StrategyParam<int> _signalCooldownCandles;
private decimal _prevWr;
private int _candlesSinceTrade;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int Period { get => _period.Value; set => _period.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public TradingPanelControlStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_period = Param(nameof(Period), 14)
.SetGreaterThanZero()
.SetDisplay("Period", "Williams %R period", "Indicators");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 4)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevWr = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevWr = 0;
_candlesSinceTrade = SignalCooldownCandles;
_hasPrev = false;
var wr = new RelativeStrengthIndex { Length = Period };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(wr, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal wrValue)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
if (_hasPrev)
{
if (_prevWr < 35 && wrValue >= 35 && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (_prevWr > 65 && wrValue <= 65 && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevWr = wrValue;
_hasPrev = true;
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class trading_panel_control_strategy(Strategy):
def __init__(self):
super(trading_panel_control_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._period = self.Param("Period", 14)
self._signal_cooldown_candles = self.Param("SignalCooldownCandles", 4)
self._prev_wr = 0.0
self._candles_since_trade = 4
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 Period(self):
return self._period.Value
@Period.setter
def Period(self, value):
self._period.Value = value
@property
def SignalCooldownCandles(self):
return self._signal_cooldown_candles.Value
@SignalCooldownCandles.setter
def SignalCooldownCandles(self, value):
self._signal_cooldown_candles.Value = value
def OnReseted(self):
super(trading_panel_control_strategy, self).OnReseted()
self._prev_wr = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
def OnStarted2(self, time):
super(trading_panel_control_strategy, self).OnStarted2(time)
self._prev_wr = 0.0
self._candles_since_trade = self.SignalCooldownCandles
self._has_prev = False
rsi = RelativeStrengthIndex()
rsi.Length = self.Period
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, self._process_candle).Start()
def _process_candle(self, candle, wr_value):
if candle.State != CandleStates.Finished:
return
if self._candles_since_trade < self.SignalCooldownCandles:
self._candles_since_trade += 1
wr_val = float(wr_value)
if self._has_prev:
if self._prev_wr < 35 and wr_val >= 35 and self.Position <= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
elif self._prev_wr > 65 and wr_val <= 65 and self.Position >= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
self._prev_wr = wr_val
self._has_prev = True
def CreateClone(self):
return trading_panel_control_strategy()