在 GitHub 上查看
针形反转策略
概述
本策略是 MetaTrader 专家顾问 “Reversals With Pin Bars” 的 C# 版本。原始 EA 通过识别长影线的拒绝形态
(针形线)并结合动量、较大周期的线性加权移动平均线 (LWMA) 趋势以及 MACD 方向过滤来寻找反转机会。
移植版本保留了这种多周期结构,完全依赖 StockSharp 指标,并将核心风控选项暴露为可调参数。
实现采用 StockSharp 的高级 API:主周期 K 线负责触发交易,而额外的订阅提供高周期指标数据。风险参数以点
(pips) 表示,同时支持可选的移动止损和保本移动逻辑。
入场条件
- 针形线检测:上一根收盘的 K 线需具备至少 50% 的影线长度。
- 多头信号:上影线占比达到阈值(对应原策略中的“上吊线”判定)。
- 空头信号:下影线占比达到阈值。
- 趋势过滤:高周期的快 LWMA(长度 =
FastMaPeriod)必须高于/低于慢 LWMA(SlowMaPeriod)。
- 动量过滤:最近三个高周期动量值与 100 的绝对偏离量中任一项需大于
MomentumThreshold。
- MACD 过滤:MACD 主线必须在对应周期上位于信号线上方/下方。
- 仓位限制:净持仓量不得超过
MaxTrades * Volume,新增仓位使用对齐后的 Volume。
风险管理
- 止损 / 止盈:按照
StopLossPips 和 TakeProfitPips 在入场价附近设置固定距离。
- 保本移动:启用后,当价格至少运行
BreakEvenTriggerPips 时,将止损移动到 入场价 ± BreakEvenOffsetPips。
- 移动止损:启用后,止损始终跟随距离最新收盘价
TrailingStopPips 的位置。
- 自动平仓:触发上述任一价位后,通过市价单立即平掉全部仓位。
参数说明
| 参数 |
描述 |
TradeVolume |
每次入场使用的成交量,会自动对齐品种的最小步长。 |
MaxTrades |
同方向允许的最大累计手数(按成交量限制)。 |
StopLossPips |
止损距离(点)。 |
TakeProfitPips |
止盈距离(点)。 |
EnableTrailing / TrailingStopPips |
是否启用移动止损及其距离。 |
EnableBreakEven / BreakEvenTriggerPips / BreakEvenOffsetPips |
保本移动触发阈值和偏移量。 |
FastMaPeriod / SlowMaPeriod |
高周期快、慢 LWMA 的长度。 |
MomentumPeriod / MomentumThreshold |
动量指标长度及与 100 的最小偏离。 |
MacdFastPeriod / MacdSlowPeriod / MacdSignalPeriod |
MACD 快慢线和信号线的周期。 |
CandleType |
主周期 K 线类型,用于针形线识别。 |
HigherCandleType |
用于 LWMA 与动量过滤的高周期 K 线类型。 |
MacdCandleType |
用于 MACD 过滤的 K 线类型。 |
- 移除了按资金计算的止盈、移动止损以及权益保护,统一使用点值控制风险。
- 依赖图表对象的分形线确认逻辑被指标条件取代,更适合 StockSharp 环境。
- 删除了所有提示、邮件和推送通知,仅保留交易核心流程。
使用建议
- 绑定策略到目标证券和组合,根据需要调整三个周期参数以实现多周期过滤。
- 确认交易品种的价格步长与点值定义一致(默认回退为 0.0001)。
- 启动策略后,系统会在 K 线收盘时自动管理止损、止盈、移动止损和保本移动。
- 根据品种波动性调节动量和 LWMA 周期,以匹配行情特征。
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 ReversalsWithPinBarsStrategy : 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 ReversalsWithPinBarsStrategy()
{
_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 reversals_with_pin_bars_strategy(Strategy):
def __init__(self):
super(reversals_with_pin_bars_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(reversals_with_pin_bars_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(reversals_with_pin_bars_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 reversals_with_pin_bars_strategy()