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TenPips 动量策略
TenPips 策略是 MetaTrader "10PIPS" 智能交易系统的 StockSharp 高级 API 版本。它在交易周期上计算快/慢线性加权均线,并结合高周期动量确认以及月度 MACD 过滤器。风险管理模块保留了原有 EA 的功能:点差止损/止盈、移动止损、保本、资金追踪以及权益止损。
信号逻辑
- 基础周期(
CandleType,默认 15 分钟)提供价格数据,并按典型价 (High + Low + Close) / 3 计算快慢 LWMA。
- 动量周期(
MomentumCandleType,默认 1 小时)把 StockSharp 的动量差值转换成 MetaTrader 的比值 Close / Close(period) * 100。最近三个完成 K 线中任意一个与 100 的绝对偏差需大于 MomentumThreshold 才允许交易。
- 宏观 MACD 周期(
MacdCandleType,默认 30 天蜡烛,近似 MT4 月线)用于判定趋势:多头要求 MACD 主线高于信号线,空头则相反。
多头条件:
- 上一根 K 线先跌破再收在快线之上;
- 快线位于慢线上方;
- 最近三个高周期动量读数中至少一个大于
MomentumThreshold;
- 月度 MACD 为多头。
空头条件完全对称:上一根 K 线收在快线之下、快线在慢线之下、动量满足阈值且 MACD 看空。
StockSharp 采用净持仓模型,同一时刻仅维持一个方向的总仓位。如果在空头状态下收到买入信号,成交量会先平掉空单,再建立指定规模的多单。
风险与资金管理
- 固定距离:
StopLossPips 与 TakeProfitPips 按 PriceStep 将 MT4 “点”转换为价格偏移,触达后以市价平仓。
- 追踪止损:
TrailingStopPips 根据入场后的最高/最低价动态移动止损。
- 保本:启用
UseBreakEven 时,达到 BreakEvenTriggerPips 后将止损移至入场价,并可附加 BreakEvenOffsetPips 点的安全余量。
- 资金目标:
UseMoneyTakeProfit、UsePercentTakeProfit、EnableMoneyTrailing 对应 EA 的现金止盈、百分比止盈与资金追踪模块,使用蜡烛收盘价估算浮动盈亏。
- 权益止损:
UseEquityStop 与 EquityRiskPercent 复制 EA 的权益保护逻辑,当从权益峰值回撤超过阈值时强制平仓。
- MACD 退出:
UseMacdExit 映射原策略的 Exit 开关,当月度 MACD 翻转时提前离场。
参数
| 参数 |
默认值 |
说明 |
TradeVolume |
0.01 |
市价单成交量(等同于 MT4 手数)。 |
CandleType |
15 分钟 |
主交易周期。 |
MomentumCandleType |
1 小时 |
动量确认周期。 |
MacdCandleType |
30 天 |
MACD 过滤周期(近似月线)。 |
FastMaPeriod |
8 |
快速 LWMA 周期。 |
SlowMaPeriod |
50 |
慢速 LWMA 周期。 |
MomentumPeriod |
14 |
动量回溯长度。 |
MomentumThreshold |
0.3 |
动量相对 100 的最小偏差。 |
StopLossPips |
20 |
点差止损,0 表示禁用。 |
TakeProfitPips |
50 |
点差止盈,0 表示禁用。 |
TrailingStopPips |
40 |
点差追踪止损距离。 |
UseBreakEven |
true |
是否启用保本。 |
BreakEvenTriggerPips |
30 |
保本触发所需盈利(点)。 |
BreakEvenOffsetPips |
30 |
保本后附加的余量(点)。 |
UseMoneyTakeProfit |
false |
启用现金止盈。 |
MoneyTakeProfit |
10 |
现金止盈目标(账户货币)。 |
UsePercentTakeProfit |
false |
启用百分比止盈。 |
PercentTakeProfit |
10 |
相对于初始权益的百分比目标。 |
EnableMoneyTrailing |
true |
启用资金追踪(MoneyTrailTarget / MoneyTrailStop)。 |
MoneyTrailTarget |
40 |
资金追踪启动所需盈利。 |
MoneyTrailStop |
10 |
资金追踪允许的回撤。 |
UseEquityStop |
true |
启用权益止损。 |
EquityRiskPercent |
1 |
从权益峰值允许的最大回撤(%)。 |
UseMacdExit |
false |
当月度 MACD 反转时是否提前离场。 |
实现细节
- 点值换算遵循原 EA:当
PriceStep 为 0.00001 或 0.001 时,一个点等于 10 个最小跳动,否则直接使用报价步长。
- StockSharp 的动量输出为价格差,策略会转换成 MT4 使用的比值后再比较阈值。
- 由于净持仓模式,未实现 EA 的多单累加与马丁倍数(
IncreaseFactor、LotExponent、Max_Trades),反向开仓时会自动包含平仓量。
- 所有保护和盈利操作均使用市价单,贴合原机器人对订单的处理方式。
- 可视化时会绘制主周期蜡烛、两条 LWMA、动量指标与 MACD。
使用步骤
- 根据原策略配置
CandleType、MomentumCandleType 与 MacdCandleType 的时间框架。
- 按品种步长设置
StopLossPips、TakeProfitPips、TrailingStopPips 与保本参数,0 表示禁用。
- 根据风险偏好启用或关闭现金/百分比止盈、权益止损和 MACD 退出开关。
- 启动策略,系统会自动订阅三个时间框架的数据,执行原始 EA 的进出场逻辑,并在触发各类保护条件时记录并平仓。
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class TenPipsMomentumStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public TenPipsMomentumStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 14).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_prevFast = fastValue; _prevSlow = slowValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ten_pips_momentum_strategy(Strategy):
def __init__(self):
super(ten_pips_momentum_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 14) \
.SetDisplay("Fast Period", "Fast MA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetDisplay("Slow Period", "Slow MA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def stop_loss_points(self):
return self._stop_loss_points.Value
@property
def take_profit_points(self):
return self._take_profit_points.Value
def OnReseted(self):
super(ten_pips_momentum_strategy, self).OnReseted()
self._fast = None
self._slow = None
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(ten_pips_momentum_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = self.fast_period
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_period
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._fast, self._slow, self._process_candle)
subscription.Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if not self._fast.IsFormed or not self._slow.IsFormed:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close <= self._entry_price - self.stop_loss_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close >= self._entry_price + self.take_profit_points * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
elif self.Position < 0 and self._entry_price > 0:
if self.stop_loss_points > 0 and close >= self._entry_price + self.stop_loss_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self.take_profit_points > 0 and close <= self._entry_price - self.take_profit_points * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return ten_pips_momentum_strategy()