e-TurboFx Steps 策略
概述
e-TurboFx 是一套寻找动量耗竭的反转策略,最初发表于 MetaTrader 5。它关注最近若干根完成的 K 线,如果同方向的 K 线实体持续放大,则认为行情可能即将反转。本移植版本基于 StockSharp 的高级 API,使用蜡烛图订阅、参数系统以及自动化的仓位保护模块。
交易逻辑
- 观察所选
CandleType的最近DepthAnalysis根完结蜡烛。 - 统计连续收在开盘价之下的蜡烛数量(看跌)以及连续收在开盘价之上的蜡烛数量(看涨)。
- 对每个方向追踪实体大小,只要新蜡烛的绝对实体没有超过前一根蜡烛,当前序列就会被重置。
- 做多条件: 如果出现
DepthAnalysis根连续的看跌蜡烛且实体逐步增大,并且当前没有持仓,则立即市价买入。 - 做空条件: 如果出现
DepthAnalysis根连续的看涨蜡烛且实体逐步增大,并且当前没有持仓,则立即市价卖出。 - 当策略持有仓位时不会继续寻找新的信号,从而避免叠加交易;风险控制由
StartProtection统一处理。
仓位管理
StartProtection会按照价格步长(交易所最小跳动)注册止损和止盈。参数为0表示关闭对应的保护单。- 策略同一时间只允许存在一笔仓位。平仓之后,内部计数器会重新建立新的序列。
TradeVolume决定每次市价单的下单数量,修改参数会立即同步到策略的Volume属性。
参数
| 参数 | 说明 | 默认值 |
|---|---|---|
DepthAnalysis |
需要连续满足条件的完成蜡烛数量。数值越大,触发信号所需的序列越长。 | 3 |
TakeProfitSteps |
止盈距离(以价格步长计)。0 表示不设置止盈。 |
120 |
StopLossSteps |
止损距离(以价格步长计)。0 表示不设置止损。 |
70 |
TradeVolume |
每次市价单的交易量。 | 0.1 |
CandleType |
用于分析的蜡烛数据类型/时间框架。 | 1 小时蜡烛 |
所有数值参数都包含优化设置,可直接用于 StockSharp 的参数优化流程。
使用建议
- 原始 MT5 EA 在每个行情跳动时重新读取历史数据;本实现通过已完成的蜡烛事件和内部状态,实现等效的行为。
- 策略对时间框架较为敏感:较短的周期提供更多信号,但对止损/止盈要求也更紧。
- 请确认交易标的提供有效的
PriceStep,以便价格步长正确映射到真实价格。 - 上线实盘之前,建议先在 Designer 或 Backtester 中验证止损/止盈与品种的匹配度。
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 ETurboFxStepsStrategy : 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="ETurboFxStepsStrategy" /> class.
/// </summary>
public ETurboFxStepsStrategy()
{
_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(stopLossUnit, takeProfitUnit);
}
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;
return new Unit(steps, UnitTypes.Absolute);
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position != 0)
{
// Do not look for new signals while a position is active.
ResetState();
return;
}
var bodySize = Math.Abs(candle.ClosePrice - candle.OpenPrice);
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)
{
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)
{
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_steps_strategy(Strategy):
def __init__(self):
super(e_turbo_fx_steps_strategy, self).__init__()
self._depth_analysis = self.Param("DepthAnalysis", 3)
self._take_profit_steps = self.Param("TakeProfitSteps", 120.0)
self._stop_loss_steps = self.Param("StopLossSteps", 70.0)
self._trade_volume = self.Param("TradeVolume", 0.1)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1)))
self._bearish_sequence = 0
self._bullish_sequence = 0
self._previous_bearish_body = 0.0
self._previous_bullish_body = 0.0
@property
def DepthAnalysis(self):
return self._depth_analysis.Value
@DepthAnalysis.setter
def DepthAnalysis(self, value):
self._depth_analysis.Value = value
@property
def TakeProfitSteps(self):
return self._take_profit_steps.Value
@TakeProfitSteps.setter
def TakeProfitSteps(self, value):
self._take_profit_steps.Value = value
@property
def StopLossSteps(self):
return self._stop_loss_steps.Value
@StopLossSteps.setter
def StopLossSteps(self, value):
self._stop_loss_steps.Value = value
@property
def TradeVolume(self):
return self._trade_volume.Value
@TradeVolume.setter
def TradeVolume(self, value):
self._trade_volume.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(e_turbo_fx_steps_strategy, self).OnStarted2(time)
self._bearish_sequence = 0
self._bullish_sequence = 0
self._previous_bearish_body = 0.0
self._previous_bullish_body = 0.0
tp_steps = float(self.TakeProfitSteps)
sl_steps = float(self.StopLossSteps)
if sl_steps > 0.0 or tp_steps > 0.0:
sl_unit = Unit(sl_steps, UnitTypes.Absolute) if sl_steps > 0.0 else None
tp_unit = Unit(tp_steps, UnitTypes.Absolute) if tp_steps > 0.0 else None
self.StartProtection(sl_unit, tp_unit)
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self.ProcessCandle).Start()
def ProcessCandle(self, candle):
if candle.State != CandleStates.Finished:
return
if self.Position != 0:
self._reset_state()
return
close = float(candle.ClosePrice)
open_price = float(candle.OpenPrice)
body_size = abs(close - open_price)
if close < open_price:
self._handle_bearish_candle(body_size)
elif close > open_price:
self._handle_bullish_candle(body_size)
else:
self._reset_state()
def _handle_bearish_candle(self, body_size):
self._reset_bullish_sequence()
if body_size <= 0.0:
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 >= int(self.DepthAnalysis):
self.BuyMarket()
self._reset_bearish_sequence()
def _handle_bullish_candle(self, body_size):
self._reset_bearish_sequence()
if body_size <= 0.0:
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 >= int(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 OnReseted(self):
super(e_turbo_fx_steps_strategy, self).OnReseted()
self._bearish_sequence = 0
self._bullish_sequence = 0
self._previous_bearish_body = 0.0
self._previous_bullish_body = 0.0
def CreateClone(self):
return e_turbo_fx_steps_strategy()