魏科夫派发策略
魏科夫派发阶段表现为在反弹中出现大量抛压并不断测试阻力位。 下跌时成交量放大,回升时缩小,说明大资金正在出货。 当价格跌破派发区间时,策略做空,预计行情将持续走弱。 止损设在区间上方防止假突破,若价格回到结构顶部则平仓。
测试表明年均收益约为 64%,该策略在外汇市场表现最佳。
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:趋势跟随
- 方向:双向
- 指标:成交量, 价格
- 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>
/// Strategy based on Wyckoff Distribution pattern.
/// Detects narrowing ranges near extremes (distribution/accumulation),
/// then enters on upthrust/spring confirmation with MA filter.
/// Uses bar-based cooldown to control trade frequency.
/// </summary>
public class WyckoffDistributionStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _rangePeriod;
private readonly StrategyParam<int> _cooldownBars;
private SimpleMovingAverage _ma;
private Highest _highest;
private Lowest _lowest;
private decimal _prevMa;
private decimal _prevClose;
private int _narrowCount;
private int _barsSinceEntry;
private decimal _entryPrice;
private int _holdBars;
/// <summary>
/// Candle type and timeframe.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// MA period.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Highest/Lowest period.
/// </summary>
public int RangePeriod
{
get => _rangePeriod.Value;
set => _rangePeriod.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public WyckoffDistributionStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_maPeriod = Param(nameof(MaPeriod), 20)
.SetDisplay("MA Period", "SMA period", "Indicators")
.SetRange(10, 50);
_rangePeriod = Param(nameof(RangePeriod), 20)
.SetDisplay("Range Period", "Highest/Lowest period", "Indicators")
.SetRange(10, 50);
_cooldownBars = Param(nameof(CooldownBars), 800)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(10, 2000);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ma = default;
_highest = default;
_lowest = default;
_prevMa = 0;
_prevClose = 0;
_narrowCount = 0;
_barsSinceEntry = 0;
_entryPrice = 0;
_holdBars = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_barsSinceEntry = CooldownBars; // allow immediate first trade
_ma = new SimpleMovingAverage { Length = MaPeriod };
_highest = new Highest { Length = RangePeriod };
_lowest = new Lowest { Length = RangePeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_ma, _highest, _lowest, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal ma, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
var range = highest - lowest;
if (range <= 0 || _prevMa == 0)
{
_prevMa = ma;
_prevClose = close;
return;
}
_barsSinceEntry++;
var candleRange = candle.HighPrice - candle.LowPrice;
var isNarrow = candleRange < range * 0.35m;
// Track consecutive narrow-range candles
if (isNarrow)
_narrowCount++;
else
_narrowCount = 0;
// Exit logic: hold for minimum bars, then exit on MA cross
if (Position != 0 && _holdBars > 0)
{
_holdBars--;
}
if (Position > 0 && _holdBars == 0)
{
if (close < ma)
{
SellMarket();
_barsSinceEntry = 0;
}
}
else if (Position < 0 && _holdBars == 0)
{
if (close > ma)
{
BuyMarket();
_barsSinceEntry = 0;
}
}
// Entry logic: only when no position and sufficient cooldown
if (Position == 0 && _barsSinceEntry >= CooldownBars && _narrowCount >= 2)
{
var nearTop = close > lowest + range * 0.55m;
var nearBottom = close < highest - range * 0.55m;
// Upthrust (short): price near top after consolidation, bearish candle below MA
if (nearTop && close < candle.OpenPrice && close < ma)
{
SellMarket();
_entryPrice = close;
_barsSinceEntry = 0;
_narrowCount = 0;
_holdBars = 20;
}
// Spring (long): price near bottom after consolidation, bullish candle above MA
else if (nearBottom && close > candle.OpenPrice && close > ma)
{
BuyMarket();
_entryPrice = close;
_barsSinceEntry = 0;
_narrowCount = 0;
_holdBars = 20;
}
}
_prevMa = ma;
_prevClose = close;
}
}
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, Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
class wyckoff_distribution_strategy(Strategy):
"""
Strategy based on Wyckoff Distribution pattern.
Detects narrowing ranges near extremes (distribution/accumulation),
then enters on upthrust/spring confirmation with MA filter.
Uses bar-based cooldown to control trade frequency.
"""
def __init__(self):
super(wyckoff_distribution_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candle timeframe", "General")
self._ma_period = self.Param("MaPeriod", 20).SetDisplay("MA Period", "SMA period", "Indicators")
self._range_period = self.Param("RangePeriod", 20).SetDisplay("Range Period", "Highest/Lowest period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 800).SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._prev_ma = 0.0
self._prev_close = 0.0
self._narrow_count = 0
self._bars_since_entry = 0
self._entry_price = 0.0
self._hold_bars = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(wyckoff_distribution_strategy, self).OnReseted()
self._prev_ma = 0.0
self._prev_close = 0.0
self._narrow_count = 0
self._bars_since_entry = 0
self._entry_price = 0.0
self._hold_bars = 0
def OnStarted2(self, time):
super(wyckoff_distribution_strategy, self).OnStarted2(time)
self._bars_since_entry = self._cooldown_bars.Value # allow immediate first trade
self._prev_ma = 0.0
self._prev_close = 0.0
self._narrow_count = 0
self._entry_price = 0.0
self._hold_bars = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
highest = Highest()
highest.Length = self._range_period.Value
lowest = Lowest()
lowest.Length = self._range_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, highest, lowest, 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, ma_val, highest_val, lowest_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
ma = float(ma_val)
highest = float(highest_val)
lowest = float(lowest_val)
rng = highest - lowest
if rng <= 0 or self._prev_ma == 0:
self._prev_ma = ma
self._prev_close = close
return
self._bars_since_entry += 1
candle_range = float(candle.HighPrice) - float(candle.LowPrice)
is_narrow = candle_range < rng * 0.35
# Track consecutive narrow-range candles
if is_narrow:
self._narrow_count += 1
else:
self._narrow_count = 0
cd = self._cooldown_bars.Value
# Exit logic: hold for minimum bars, then exit on MA cross
if self.Position != 0 and self._hold_bars > 0:
self._hold_bars -= 1
if self.Position > 0 and self._hold_bars == 0:
if close < ma:
self.SellMarket()
self._bars_since_entry = 0
elif self.Position < 0 and self._hold_bars == 0:
if close > ma:
self.BuyMarket()
self._bars_since_entry = 0
# Entry logic: only when no position and sufficient cooldown
if self.Position == 0 and self._bars_since_entry >= cd and self._narrow_count >= 2:
near_top = close > lowest + rng * 0.55
near_bottom = close < highest - rng * 0.55
# Upthrust (short): price near top after consolidation, bearish candle below MA
if near_top and candle.ClosePrice < candle.OpenPrice and close < ma:
self.SellMarket()
self._entry_price = close
self._bars_since_entry = 0
self._narrow_count = 0
self._hold_bars = 20
# Spring (long): price near bottom after consolidation, bullish candle above MA
elif near_bottom and candle.ClosePrice > candle.OpenPrice and close > ma:
self.BuyMarket()
self._entry_price = close
self._bars_since_entry = 0
self._narrow_count = 0
self._hold_bars = 20
self._prev_ma = ma
self._prev_close = close
def CreateClone(self):
return wyckoff_distribution_strategy()