弹簧反转策略
弹簧反转是魏科夫理论中的概念,指价格短暂跌破支撑后又迅速回到其上方。 这种震荡往往令追空者被困,常是新一轮上升的起点。 当价格重新站上被破的水平时,策略买入,期待空头回补和新的需求推动行情。 止损设在弹簧低点下方,如果涨势未能延续便退出。
测试表明年均收益约为 55%,该策略在股票市场表现最佳。
细节
- 入场条件:指标信号
- 多/空:均可
- 退出条件:止损或反向信号
- 止损:是,按百分比
- 默认值:
CandleType= 15分钟StopLoss= 2%
- 过滤器:
- 类别:反转
- 方向:双向
- 指标:Wyckoff
- 止损:有
- 复杂度:中等
- 时间框架:日内
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中等
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;
/// <summary>
/// Spring Reversal strategy (Wyckoff).
/// Enters long when price dips below recent support then closes back above it.
/// Enters short when price spikes above recent resistance then closes back below it.
/// Uses SMA for exit confirmation.
/// Uses cooldown to control trade frequency.
/// </summary>
public class SpringReversalStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private readonly List<decimal> _lows = new();
private readonly List<decimal> _highs = new();
private int _cooldown;
/// <summary>
/// Lookback period.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// MA period for exit.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public SpringReversalStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetRange(5, 50)
.SetDisplay("Lookback", "Period for support/resistance", "Range");
_maPeriod = Param(nameof(MaPeriod), 20)
.SetRange(5, 50)
.SetDisplay("MA Period", "Period for SMA exit", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_lows.Clear();
_highs.Clear();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_lows.Clear();
_highs.Clear();
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Maintain rolling window of lows and highs
_lows.Add(candle.LowPrice);
_highs.Add(candle.HighPrice);
if (_lows.Count > LookbackPeriod + 1)
{
_lows.RemoveAt(0);
_highs.RemoveAt(0);
}
if (_lows.Count < LookbackPeriod + 1)
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Find support (lowest low) and resistance (highest high) of previous N bars
decimal support = decimal.MaxValue;
decimal resistance = decimal.MinValue;
for (int i = 0; i < _lows.Count - 1; i++)
{
if (_lows[i] < support) support = _lows[i];
if (_highs[i] > resistance) resistance = _highs[i];
}
// Spring: price dips below support but closes above it (bullish)
var isSpring = candle.LowPrice < support && candle.ClosePrice > support && candle.ClosePrice > candle.OpenPrice;
// Upthrust: price spikes above resistance but closes below it (bearish)
var isUpthrust = candle.HighPrice > resistance && candle.ClosePrice < resistance && candle.ClosePrice < candle.OpenPrice;
if (Position == 0 && isSpring)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && isUpthrust)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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
from StockSharp.Algo.Strategies import Strategy
class spring_reversal_strategy(Strategy):
"""
Spring Reversal strategy (Wyckoff).
Enters long when price dips below recent support then closes back above it.
Enters short when price spikes above recent resistance then closes back below it.
Uses SMA for exit confirmation.
"""
def __init__(self):
super(spring_reversal_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 20).SetDisplay("Lookback", "Period for support/resistance", "Range")
self._ma_period = self.Param("MaPeriod", 20).SetDisplay("MA Period", "Period for SMA exit", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._lows = []
self._highs = []
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(spring_reversal_strategy, self).OnReseted()
self._lows = []
self._highs = []
self._cooldown = 0
def OnStarted2(self, time):
super(spring_reversal_strategy, self).OnStarted2(time)
self._lows = []
self._highs = []
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
lookback = self._lookback_period.Value
# Maintain rolling window of lows and highs
self._lows.append(float(candle.LowPrice))
self._highs.append(float(candle.HighPrice))
if len(self._lows) > lookback + 1:
self._lows.pop(0)
self._highs.pop(0)
if len(self._lows) < lookback + 1:
return
if self._cooldown > 0:
self._cooldown -= 1
return
cd = self._cooldown_bars.Value
sv = float(sma_val)
# Find support (lowest low) and resistance (highest high) of previous N bars
support = min(self._lows[:-1])
resistance = max(self._highs[:-1])
# Spring: price dips below support but closes above it (bullish)
is_spring = (
float(candle.LowPrice) < support and
float(candle.ClosePrice) > support and
candle.ClosePrice > candle.OpenPrice
)
# Upthrust: price spikes above resistance but closes below it (bearish)
is_upthrust = (
float(candle.HighPrice) > resistance and
float(candle.ClosePrice) < resistance and
candle.ClosePrice < candle.OpenPrice
)
if self.Position == 0 and is_spring:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and is_upthrust:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and float(candle.ClosePrice) < sv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and float(candle.ClosePrice) > sv:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return spring_reversal_strategy()