魏科夫吸筹策略
魏科夫吸筹指在下跌后大型资金悄然建立仓位的筑底阶段。 此时成交量和价格多次测试支撑并形成更高的低点,表明需求逐渐增加。 当价格突破吸筹区间时,策略做多,期待这些早期买盘推动新趋势。 保护性止损放在底部下方,以防突破失败造成损失。
测试表明年均收益约为 61%,该策略在加密市场表现最佳。
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 Accumulation pattern.
/// Detects a selling climax followed by sideways accumulation and a spring,
/// then enters long on the markup phase.
/// </summary>
public class WyckoffAccumulationStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _rangePeriod;
private readonly StrategyParam<int> _sidewaysThreshold;
private readonly StrategyParam<int> _cooldownBars;
private SimpleMovingAverage _ma;
private Highest _highest;
private Lowest _lowest;
private enum WyckoffPhase
{
None,
Accumulation,
Spring,
Markup
}
private WyckoffPhase _phase;
private decimal _rangeHigh;
private decimal _rangeLow;
private int _narrowCount;
private decimal _entryPrice;
private decimal _prevMa;
private decimal _prevClose;
private int _cooldown;
/// <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 for range detection.
/// </summary>
public int RangePeriod
{
get => _rangePeriod.Value;
set => _rangePeriod.Value = value;
}
/// <summary>
/// Number of narrow-range candles to confirm accumulation.
/// </summary>
public int SidewaysThreshold
{
get => _sidewaysThreshold.Value;
set => _sidewaysThreshold.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public WyckoffAccumulationStrategy()
{
_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);
_sidewaysThreshold = Param(nameof(SidewaysThreshold), 3)
.SetDisplay("Sideways Threshold", "Narrow candles to confirm accumulation", "Logic")
.SetRange(2, 10);
_cooldownBars = Param(nameof(CooldownBars), 65)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(10, 500);
}
/// <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;
_phase = WyckoffPhase.None;
_rangeHigh = 0;
_rangeLow = 0;
_narrowCount = 0;
_entryPrice = 0;
_prevMa = 0;
_prevClose = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_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 = ma;
_prevClose = close;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevMa = ma;
_prevClose = close;
// Still update phase tracking for exit logic
if (Position > 0)
{
// Exit: price crosses below MA
if (close < ma && _prevClose >= _prevMa)
{
SellMarket();
_phase = WyckoffPhase.None;
_narrowCount = 0;
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
// Exit short: price crosses above MA
if (close > ma && _prevClose <= _prevMa)
{
BuyMarket();
_phase = WyckoffPhase.None;
_narrowCount = 0;
_cooldown = CooldownBars;
}
}
_prevMa = ma;
_prevClose = close;
return;
}
var candleRange = candle.HighPrice - candle.LowPrice;
var isNarrow = candleRange < range * 0.4m;
var isBullish = close > candle.OpenPrice;
var isBearish = close < candle.OpenPrice;
// Wyckoff accumulation detection (simplified)
switch (_phase)
{
case WyckoffPhase.None:
// Look for price near or below the range low (selling climax area)
if (close <= lowest + range * 0.2m && isBearish)
{
_phase = WyckoffPhase.Accumulation;
_rangeLow = lowest;
_rangeHigh = highest;
_narrowCount = 0;
}
// Also detect distribution (price near range high for shorts)
else if (close >= highest - range * 0.2m && isBullish)
{
_phase = WyckoffPhase.Accumulation;
_rangeLow = lowest;
_rangeHigh = highest;
_narrowCount = -1; // negative to track distribution
}
break;
case WyckoffPhase.Accumulation:
if (_narrowCount >= 0)
{
// Accumulation (long setup): count narrow-range candles
if (isNarrow)
_narrowCount++;
if (_narrowCount >= SidewaysThreshold)
{
_phase = WyckoffPhase.Spring;
}
// Reset if price breaks significantly above range
else if (close > _rangeHigh + range * 0.1m)
{
_phase = WyckoffPhase.None;
_narrowCount = 0;
}
}
else
{
// Distribution (short setup): count narrow-range candles
if (isNarrow)
_narrowCount--;
if (_narrowCount <= -SidewaysThreshold)
{
_phase = WyckoffPhase.Spring;
}
// Reset if price breaks significantly below range
else if (close < _rangeLow - range * 0.1m)
{
_phase = WyckoffPhase.None;
_narrowCount = 0;
}
}
break;
case WyckoffPhase.Spring:
if (_narrowCount > 0)
{
// Long spring: price dips below range low then closes back above
if (candle.LowPrice < _rangeLow && close > _rangeLow)
{
_phase = WyckoffPhase.Markup;
}
// Or: bullish candle near support with close above MA
else if (isBullish && close > ma && close > _rangeLow)
{
_phase = WyckoffPhase.Markup;
}
}
else
{
// Short spring (upthrust): price spikes above range high then closes back below
if (candle.HighPrice > _rangeHigh && close < _rangeHigh)
{
_phase = WyckoffPhase.Markup;
}
// Or: bearish candle near resistance with close below MA
else if (isBearish && close < ma && close < _rangeHigh)
{
_phase = WyckoffPhase.Markup;
}
}
break;
case WyckoffPhase.Markup:
if (Position == 0)
{
if (_narrowCount > 0)
{
// Enter long on markup
if (isBullish && close > ma)
{
BuyMarket();
_entryPrice = close;
_cooldown = CooldownBars;
_phase = WyckoffPhase.None;
_narrowCount = 0;
}
}
else
{
// Enter short on markdown
if (isBearish && close < ma)
{
SellMarket();
_entryPrice = close;
_cooldown = CooldownBars;
_phase = WyckoffPhase.None;
_narrowCount = 0;
}
}
}
break;
}
// Exit logic for open positions
if (Position > 0)
{
// Exit long: price crosses below MA
if (close < ma && _prevClose >= _prevMa)
{
SellMarket();
_phase = WyckoffPhase.None;
_narrowCount = 0;
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
// Exit short: price crosses above MA
if (close > ma && _prevClose <= _prevMa)
{
BuyMarket();
_phase = WyckoffPhase.None;
_narrowCount = 0;
_cooldown = CooldownBars;
}
}
_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
# Wyckoff phases
PHASE_NONE = 0
PHASE_ACCUMULATION = 1
PHASE_SPRING = 2
PHASE_MARKUP = 3
class wyckoff_accumulation_strategy(Strategy):
"""
Strategy based on Wyckoff Accumulation pattern.
Detects a selling climax followed by sideways accumulation and a spring,
then enters long on the markup phase.
"""
def __init__(self):
super(wyckoff_accumulation_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._sideways_threshold = self.Param("SidewaysThreshold", 3).SetDisplay("Sideways Threshold", "Narrow candles to confirm accumulation", "Logic")
self._cooldown_bars = self.Param("CooldownBars", 65).SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._phase = PHASE_NONE
self._range_high = 0.0
self._range_low = 0.0
self._narrow_count = 0
self._entry_price = 0.0
self._prev_ma = 0.0
self._prev_close = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(wyckoff_accumulation_strategy, self).OnReseted()
self._phase = PHASE_NONE
self._range_high = 0.0
self._range_low = 0.0
self._narrow_count = 0
self._entry_price = 0.0
self._prev_ma = 0.0
self._prev_close = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(wyckoff_accumulation_strategy, self).OnStarted2(time)
self._phase = PHASE_NONE
self._range_high = 0.0
self._range_low = 0.0
self._narrow_count = 0
self._entry_price = 0.0
self._prev_ma = 0.0
self._prev_close = 0.0
self._cooldown = 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:
self._prev_ma = ma
self._prev_close = close
return
cd = self._cooldown_bars.Value
sw_thresh = self._sideways_threshold.Value
if self._cooldown > 0:
self._cooldown -= 1
self._prev_ma = ma
self._prev_close = close
# Still check exit logic during cooldown
if self.Position > 0:
if close < ma and self._prev_close >= self._prev_ma:
self.SellMarket()
self._phase = PHASE_NONE
self._narrow_count = 0
self._cooldown = cd
elif self.Position < 0:
if close > ma and self._prev_close <= self._prev_ma:
self.BuyMarket()
self._phase = PHASE_NONE
self._narrow_count = 0
self._cooldown = cd
self._prev_ma = ma
self._prev_close = close
return
candle_range = float(candle.HighPrice) - float(candle.LowPrice)
is_narrow = candle_range < rng * 0.4
is_bullish = candle.ClosePrice > candle.OpenPrice
is_bearish = candle.ClosePrice < candle.OpenPrice
# Wyckoff accumulation detection (simplified)
if self._phase == PHASE_NONE:
# Look for price near or below the range low (selling climax area)
if close <= lowest + rng * 0.2 and is_bearish:
self._phase = PHASE_ACCUMULATION
self._range_low = lowest
self._range_high = highest
self._narrow_count = 0
# Also detect distribution (price near range high for shorts)
elif close >= highest - rng * 0.2 and is_bullish:
self._phase = PHASE_ACCUMULATION
self._range_low = lowest
self._range_high = highest
self._narrow_count = -1 # negative to track distribution
elif self._phase == PHASE_ACCUMULATION:
if self._narrow_count >= 0:
# Accumulation (long setup): count narrow-range candles
if is_narrow:
self._narrow_count += 1
if self._narrow_count >= sw_thresh:
self._phase = PHASE_SPRING
elif close > self._range_high + rng * 0.1:
self._phase = PHASE_NONE
self._narrow_count = 0
else:
# Distribution (short setup): count narrow-range candles
if is_narrow:
self._narrow_count -= 1
if self._narrow_count <= -sw_thresh:
self._phase = PHASE_SPRING
elif close < self._range_low - rng * 0.1:
self._phase = PHASE_NONE
self._narrow_count = 0
elif self._phase == PHASE_SPRING:
if self._narrow_count > 0:
# Long spring: price dips below range low then closes back above
if float(candle.LowPrice) < self._range_low and close > self._range_low:
self._phase = PHASE_MARKUP
# Or: bullish candle near support with close above MA
elif is_bullish and close > ma and close > self._range_low:
self._phase = PHASE_MARKUP
else:
# Short spring (upthrust): price spikes above range high then closes back below
if float(candle.HighPrice) > self._range_high and close < self._range_high:
self._phase = PHASE_MARKUP
# Or: bearish candle near resistance with close below MA
elif is_bearish and close < ma and close < self._range_high:
self._phase = PHASE_MARKUP
elif self._phase == PHASE_MARKUP:
if self.Position == 0:
if self._narrow_count > 0:
# Enter long on markup
if is_bullish and close > ma:
self.BuyMarket()
self._entry_price = close
self._cooldown = cd
self._phase = PHASE_NONE
self._narrow_count = 0
else:
# Enter short on markdown
if is_bearish and close < ma:
self.SellMarket()
self._entry_price = close
self._cooldown = cd
self._phase = PHASE_NONE
self._narrow_count = 0
# Exit logic for open positions
if self.Position > 0:
# Exit long: price crosses below MA
if close < ma and self._prev_close >= self._prev_ma:
self.SellMarket()
self._phase = PHASE_NONE
self._narrow_count = 0
self._cooldown = cd
elif self.Position < 0:
# Exit short: price crosses above MA
if close > ma and self._prev_close <= self._prev_ma:
self.BuyMarket()
self._phase = PHASE_NONE
self._narrow_count = 0
self._cooldown = cd
self._prev_ma = ma
self._prev_close = close
def CreateClone(self):
return wyckoff_accumulation_strategy()