e-TurboFx 动量策略
概述
e-TurboFx 是原始 MetaTrader 4 智能交易系统的移植版本。策略会检查最近收盘的蜡烛线,寻找蜡烛实体持续扩大的趋势段。若连续出现实体不断放大的空头蜡烛,说明下跌动能正在衰竭,可以考虑做多;若连续出现实体不断放大的多头蜡烛,则意味着上涨过度,可以尝试做空。StockSharp 版本通过蜡烛订阅保持事件驱动结构,并可选地自动附加止损和止盈。
交易逻辑
- 订阅可配置的蜡烛类型,仅处理
CandleStates.Finished的蜡烛。 - 分别维护多头和空头两个序列计数器。
- 计算每根蜡烛的实体长度
|Close - Open|。 - 一旦出现反向收盘的蜡烛,就重置对应的反方向序列。
- 序列内部要求实体严格放大:新蜡烛的实体必须大于上一根,同方向实体缩小时序列会重置为 1。
- 当某个序列的计数达到
DepthAnalysis,在该序列的反方向发出市价订单(空头序列触发买入,多头序列触发卖出)。 - 有持仓时暂停信号检测,等待回到空仓再重新开始。
StartProtection在启动时只调用一次,可按价格步长配置止损/止盈,输入 0 表示关闭。
这种实现方式完整复刻了 MQL4 脚本:它逐根检查最近的 N 根蜡烛,确认方向相同且实体逐渐变大。
实现细节
- 使用高层 API:
SubscribeCandles与Bind,无自建集合或历史遍历,符合项目要求。 - 状态信息保存在四个字段中(
_bearishSequence、_bullishSequence、_previousBearishBody、_previousBullishBody),避免额外的列表或队列。 - 保护模块只在
OnStarted中配置一次,支持按步长设置止损与止盈;与原策略一致,填 0 即表示不下达对应委托。 - 源码中提供了详细的英文注释,说明何时重置序列、何时触发交易。
- 在 Designer 或 UI 中运行时,会绘制蜡烛及自身成交,方便验证行为。
参数
| 参数 | 说明 | 默认值 |
|---|---|---|
DepthAnalysis |
需要多少根同向且实体递增的蜡烛才会触发交易。 | 3 |
TakeProfitSteps |
止盈距离(价格步长),设置为 0 时关闭。 |
120 |
StopLossSteps |
止损距离(价格步长),设置为 0 时关闭。 |
70 |
TradeVolume |
每次市价单的交易量,同时会更新基础 Strategy.Volume。 |
0.1 |
CandleType |
用于分析的蜡烛类型(时间框架)。 | 1 hour |
所有数值型参数都包含优化元数据,可直接在 StockSharp 优化器中调整。
注意事项
- 策略对蜡烛实体敏感,因此时间框架越短,信号越频繁,但保护距离也需相应调整。
- 请确保交易工具提供有效的
PriceStep,否则步长无法转换为真实价格距离。 - 建议在实盘前先在 Designer 中回测,确认止损和止盈距离符合预期。
- 策略一次只持有一笔仓位。平仓后计数器会重置,必须重新累积新的序列才能再次交易,这与原版行为一致。
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>
/// Momentum reversal strategy that tracks consecutive candles with expanding bodies.
/// </summary>
public class ETurboFxMomentumStrategy : Strategy
{
private readonly StrategyParam<int> _depthAnalysis;
private readonly StrategyParam<decimal> _takeProfitSteps;
private readonly StrategyParam<decimal> _stopLossSteps;
private readonly StrategyParam<decimal> _tradeVolume;
private readonly StrategyParam<DataType> _candleType;
private int _bearishSequence;
private int _bullishSequence;
private decimal _previousBearishBody;
private decimal _previousBullishBody;
/// <summary>
/// Number of recent candles analysed for momentum confirmation.
/// </summary>
public int DepthAnalysis
{
get => _depthAnalysis.Value;
set => _depthAnalysis.Value = value;
}
/// <summary>
/// Take profit distance measured in price steps (ticks).
/// A value of zero disables the take profit order.
/// </summary>
public decimal TakeProfitSteps
{
get => _takeProfitSteps.Value;
set => _takeProfitSteps.Value = value;
}
/// <summary>
/// Stop loss distance measured in price steps (ticks).
/// A value of zero disables the protective stop.
/// </summary>
public decimal StopLossSteps
{
get => _stopLossSteps.Value;
set => _stopLossSteps.Value = value;
}
/// <summary>
/// Volume used when sending market orders.
/// </summary>
public decimal TradeVolume
{
get => _tradeVolume.Value;
set
{
_tradeVolume.Value = value;
Volume = value;
}
}
/// <summary>
/// Candle type analysed by the strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="ETurboFxMomentumStrategy" /> class.
/// </summary>
public ETurboFxMomentumStrategy()
{
_depthAnalysis = Param(nameof(DepthAnalysis), 3)
.SetGreaterThanZero()
.SetDisplay("Depth Analysis", "Number of finished candles used for pattern detection", "Trading Rules")
.SetOptimize(2, 6, 1);
_takeProfitSteps = Param(nameof(TakeProfitSteps), 120m)
.SetNotNegative()
.SetDisplay("Take Profit (steps)", "Take profit distance in price steps (ticks)", "Risk Management")
.SetOptimize(60m, 180m, 20m);
_stopLossSteps = Param(nameof(StopLossSteps), 70m)
.SetNotNegative()
.SetDisplay("Stop Loss (steps)", "Stop loss distance in price steps (ticks)", "Risk Management")
.SetOptimize(40m, 120m, 10m);
_tradeVolume = Param(nameof(TradeVolume), 0.1m)
.SetGreaterThanZero()
.SetDisplay("Trade Volume", "Order volume used for entries", "Trading Rules")
.SetOptimize(0.1m, 0.5m, 0.1m);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Timeframe of the candles analysed by the strategy", "Market Data");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
ResetState();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
ResetState();
Volume = TradeVolume;
var takeProfitUnit = CreateStepUnit(TakeProfitSteps);
var stopLossUnit = CreateStepUnit(StopLossSteps);
if (takeProfitUnit != null || stopLossUnit != null)
{
// Configure protective orders once the strategy starts.
StartProtection(
takeProfit: takeProfitUnit,
stopLoss: stopLossUnit,
isStopTrailing: false,
useMarketOrders: true);
}
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private Unit CreateStepUnit(decimal steps)
{
if (steps <= 0)
return null;
// Convert the user-friendly tick distance into a StockSharp Unit instance.
return new Unit(steps, UnitTypes.Absolute);
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
// indicators formed check removed
if (Position != 0)
{
// Do not look for new signals while a position is active.
ResetState();
return;
}
var bodySize = Math.Abs(candle.ClosePrice - candle.OpenPrice);
// The original expert compared absolute bodies of the latest N closed candles.
// Measuring the body here reproduces that behaviour candle by candle.
if (candle.ClosePrice < candle.OpenPrice)
{
HandleBearishCandle(bodySize);
}
else if (candle.ClosePrice > candle.OpenPrice)
{
HandleBullishCandle(bodySize);
}
else
{
// Neutral candle breaks both sequences.
ResetState();
}
}
private void HandleBearishCandle(decimal bodySize)
{
// Bearish candles reset the bullish path and allow the downside streak to continue.
ResetBullishSequence();
if (bodySize <= 0)
{
ResetBearishSequence();
return;
}
if (_bearishSequence == 0 || bodySize > _previousBearishBody)
{
// Body is larger than the previous bearish candle, extend the sequence.
_bearishSequence++;
}
else
{
// Sequence restarts because body did not expand.
_bearishSequence = 1;
}
_previousBearishBody = bodySize;
if (_bearishSequence >= DepthAnalysis)
{
// Expanding bearish bodies suggest exhaustion that can trigger a long entry.
BuyMarket();
ResetBearishSequence();
}
}
private void HandleBullishCandle(decimal bodySize)
{
// Bullish candles reset the bearish path and allow the upside streak to continue.
ResetBearishSequence();
if (bodySize <= 0)
{
ResetBullishSequence();
return;
}
if (_bullishSequence == 0 || bodySize > _previousBullishBody)
{
// Body is larger than the previous bullish candle, extend the sequence.
_bullishSequence++;
}
else
{
// Sequence restarts because body did not expand.
_bullishSequence = 1;
}
_previousBullishBody = bodySize;
if (_bullishSequence >= DepthAnalysis)
{
// Expanding bullish bodies suggest potential reversal to the downside.
SellMarket();
ResetBullishSequence();
}
}
private void ResetBearishSequence()
{
_bearishSequence = 0;
_previousBearishBody = 0m;
}
private void ResetBullishSequence()
{
_bullishSequence = 0;
_previousBullishBody = 0m;
}
private void ResetState()
{
ResetBearishSequence();
ResetBullishSequence();
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Strategies import Strategy
class e_turbo_fx_momentum_strategy(Strategy):
"""Momentum reversal strategy that tracks consecutive candles with expanding bodies.
Uses StartProtection for SL/TP."""
def __init__(self):
super(e_turbo_fx_momentum_strategy, self).__init__()
self._depth_analysis = self.Param("DepthAnalysis", 3) \
.SetGreaterThanZero() \
.SetDisplay("Depth Analysis", "Number of finished candles used for pattern detection", "Trading Rules")
self._take_profit_steps = self.Param("TakeProfitSteps", 120.0) \
.SetDisplay("Take Profit (steps)", "Take profit distance in price steps (ticks)", "Risk Management")
self._stop_loss_steps = self.Param("StopLossSteps", 70.0) \
.SetDisplay("Stop Loss (steps)", "Stop loss distance in price steps (ticks)", "Risk Management")
self._trade_volume = self.Param("TradeVolume", 0.1) \
.SetGreaterThanZero() \
.SetDisplay("Trade Volume", "Order volume used for entries", "Trading Rules")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Timeframe of the candles analysed by the strategy", "Market Data")
self._bearish_sequence = 0
self._bullish_sequence = 0
self._previous_bearish_body = 0.0
self._previous_bullish_body = 0.0
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def DepthAnalysis(self):
return self._depth_analysis.Value
@property
def TakeProfitSteps(self):
return self._take_profit_steps.Value
@property
def StopLossSteps(self):
return self._stop_loss_steps.Value
@property
def TradeVolume(self):
return self._trade_volume.Value
def OnReseted(self):
super(e_turbo_fx_momentum_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(e_turbo_fx_momentum_strategy, self).OnStarted2(time)
self._reset_state()
self.Volume = float(self.TradeVolume)
tp_steps = float(self.TakeProfitSteps)
sl_steps = float(self.StopLossSteps)
tp_unit = Unit(tp_steps, UnitTypes.Absolute) if tp_steps > 0 else None
sl_unit = Unit(sl_steps, UnitTypes.Absolute) if sl_steps > 0 else None
if tp_unit is not None or sl_unit is not None:
self.StartProtection(tp_unit, sl_unit)
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._process_candle).Start()
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
if self.Position != 0:
self._reset_state()
return
body_size = abs(float(candle.ClosePrice) - float(candle.OpenPrice))
if float(candle.ClosePrice) < float(candle.OpenPrice):
self._handle_bearish_candle(body_size)
elif float(candle.ClosePrice) > float(candle.OpenPrice):
self._handle_bullish_candle(body_size)
else:
self._reset_state()
def _handle_bearish_candle(self, body_size):
self._reset_bullish_sequence()
if body_size <= 0:
self._reset_bearish_sequence()
return
if self._bearish_sequence == 0 or body_size > self._previous_bearish_body:
self._bearish_sequence += 1
else:
self._bearish_sequence = 1
self._previous_bearish_body = body_size
if self._bearish_sequence >= self.DepthAnalysis:
self.BuyMarket()
self._reset_bearish_sequence()
def _handle_bullish_candle(self, body_size):
self._reset_bearish_sequence()
if body_size <= 0:
self._reset_bullish_sequence()
return
if self._bullish_sequence == 0 or body_size > self._previous_bullish_body:
self._bullish_sequence += 1
else:
self._bullish_sequence = 1
self._previous_bullish_body = body_size
if self._bullish_sequence >= self.DepthAnalysis:
self.SellMarket()
self._reset_bullish_sequence()
def _reset_bearish_sequence(self):
self._bearish_sequence = 0
self._previous_bearish_body = 0.0
def _reset_bullish_sequence(self):
self._bullish_sequence = 0
self._previous_bullish_body = 0.0
def _reset_state(self):
self._reset_bearish_sequence()
self._reset_bullish_sequence()
def CreateClone(self):
return e_turbo_fx_momentum_strategy()