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手动交易轻量面板策略
概述
手动交易轻量工具策略 复刻了 MT4 "Manual Trading Lightweight Utility" 面板,在 StockSharp 高层策略 API 中提供同样的交互功能。策略把原本的按钮、文本框等控件转换成参数,操作者可以在界面上切换市价、挂单限价或挂单止损,调整自动价格计算方式,配置手数与风险控制,而无需自定义图表对象。
该策略适用于主观交易。操作者通过修改 Send Buy Order 或 Send Sell Order 参数来触发订单。策略会立即响应命令,同时持续根据最新买卖价更新建议触发价与止损/止盈。
主要特性
- 手动下单:买卖两侧均支持市价、限价和止损委托。
- 自动报价:实时追踪买卖价,生成与 MT4 面板相同的挂单价格建议。
- 手动价格模式:当需要输入自定义触发价时也能自动校正至交易所最小价格步长。
- 手数管理:可配置全局手数,或在开启
Lot Control 后分别设置买卖手数。
- 止损/止盈管理:在策略层模拟 MT4 订单附带的保护参数,自动监控市场价格并平仓。
- 参数同步反馈:所有关键计算结果都会实时写回到参数中,方便在界面上查看。
转换说明
- MT4 中的图表对象全部替换为策略参数,并按功能分组,方便在 Hydra/Terminal 中使用。
- StockSharp 不会直接把保护单附加到挂单上,因此策略通过行情监控自行触发止损/止盈。
- 所有以点数表示的偏移量都会结合品种的
PriceStep 与 VolumeStep 信息,确保符合交易所约束。
使用步骤
- 在 Hydra 或 Terminal 中把策略绑定到目标证券和投资组合。
- 设置默认手数、价格偏移以及风险参数。
- 如需区分买卖手数,可开启
Lot Control 并分别调整 Sell Volume 与 Buy Volume。
- 选择订单类型以及价格模式(自动跟随或手动输入)。
- 把
Send Buy Order 或 Send Sell Order 置为 true 以发送订单;策略处理完成后会自动复位为 false。
- 当仓位打开时,策略会根据成交价计算止损/止盈并在到价后平仓。
文件列表
CS/ManualTradingLightweightUtilityPanelStrategy.cs – 策略源码。
README.md – 英文说明。
README_zh.md – 中文说明(本文件)。
README_ru.md – 俄文说明。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Manual Trading Panel strategy: SMA mean reversion with RSI filter.
/// Buys when close is below SMA and RSI is oversold, sells when above and overbought.
/// </summary>
public class ManualTradingLightweightUtilityPanelStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _signalCooldownCandles;
private int _candlesSinceTrade;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int SmaPeriod { get => _smaPeriod.Value; set => _smaPeriod.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public ManualTradingLightweightUtilityPanelStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_smaPeriod = Param(nameof(SmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("SMA Period", "SMA period", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 8)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candlesSinceTrade = SignalCooldownCandles;
var sma = new SimpleMovingAverage { Length = SmaPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(sma, rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal sma, decimal rsi)
{
if (candle.State != CandleStates.Finished)
return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
var close = candle.ClosePrice;
if (close < sma && rsi < 35 && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (close > sma && rsi > 65 && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class manual_trading_lightweight_utility_panel_strategy(Strategy):
def __init__(self):
super(manual_trading_lightweight_utility_panel_strategy, self).__init__()
self._sma_period = self.Param("SmaPeriod", 20) \
.SetDisplay("SMA Period", "SMA period", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._signal_cooldown = self.Param("SignalCooldownCandles", 8) \
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading")
self._sma = None
self._rsi = None
self._candles_since_trade = 0
@property
def sma_period(self):
return self._sma_period.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def signal_cooldown(self):
return self._signal_cooldown.Value
def OnReseted(self):
super(manual_trading_lightweight_utility_panel_strategy, self).OnReseted()
self._sma = None
self._rsi = None
self._candles_since_trade = self.signal_cooldown
def OnStarted2(self, time):
super(manual_trading_lightweight_utility_panel_strategy, self).OnStarted2(time)
self._sma = SimpleMovingAverage()
self._sma.Length = self.sma_period
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self.rsi_period
self._candles_since_trade = self.signal_cooldown
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(30)))
subscription.Bind(self._sma, self._rsi, self._process_candle)
subscription.Start()
def _process_candle(self, candle, sma_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self._sma.IsFormed or not self._rsi.IsFormed:
return
if self._candles_since_trade < self.signal_cooldown:
self._candles_since_trade += 1
close = float(candle.ClosePrice)
sma_val = float(sma_value)
rsi_val = float(rsi_value)
if close < sma_val and rsi_val < 35.0 and self.Position <= 0 and self._candles_since_trade >= self.signal_cooldown:
self.BuyMarket()
self._candles_since_trade = 0
elif close > sma_val and rsi_val > 65.0 and self.Position >= 0 and self._candles_since_trade >= self.signal_cooldown:
self.SellMarket()
self._candles_since_trade = 0
def CreateClone(self):
return manual_trading_lightweight_utility_panel_strategy()