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RangePeriod= 20StopLossPercent= 2 吸筹区间为之前 RangePeriod 根K线的最高价和最低价。策略只做多,在收盘突破区间上沿时买入;止损设在区间底部下方 StopLossPercent 处,K线收盘跌破即平仓。
- 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 System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Wyckoff Accumulation strategy.
/// The accumulation range is the highest high and lowest low of the previous RangePeriod candles. A close above the range buys while flat.
/// The stop lies StopLossPercent below the base of the range, and a close below it closes the position.
/// </summary>
public class WyckoffAccumulationStrategy : Strategy
{
private readonly StrategyParam<int> _rangePeriod;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<(decimal High, decimal Low)> _candles = [];
private decimal _stopPrice;
/// <summary>
/// Number of previous candles that form the level.
/// </summary>
public int RangePeriod
{
get => _rangePeriod.Value;
set => _rangePeriod.Value = value;
}
/// <summary>
/// Distance of the stop beyond the level, in percent.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public WyckoffAccumulationStrategy()
{
_rangePeriod = Param(nameof(RangePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("RangePeriod", "Number of previous candles that form the level", "Pattern");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Distance of the stop beyond the level, in percent", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candles.Clear();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_stopPrice = default;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
// The level is formed by the candles before this one.
var ready = _candles.Count == RangePeriod;
var high = ready ? _candles.Max(c => c.High) : 0m;
var low = ready ? _candles.Min(c => c.Low) : 0m;
_candles.Add((candle.HighPrice, candle.LowPrice));
if (_candles.Count > RangePeriod)
_candles.RemoveAt(0);
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
if (Position > 0)
{
if (close <= _stopPrice)
SellMarket(Position);
return;
}
if (Position != 0 || !ready || !(close > high))
return;
BuyMarket(Volume);
_stopPrice = low * (1 - StopLossPercent / 100m);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class wyckoff_accumulation_strategy(Strategy):
"""
Wyckoff Accumulation strategy.
The accumulation range is the highest high and lowest low of the previous RangePeriod candles. A close above the range buys while flat.
The stop lies StopLossPercent below the base of the range, and a close below it closes the position.
"""
def __init__(self):
super(wyckoff_accumulation_strategy, self).__init__()
self._range_period = self.Param("RangePeriod", 20).SetGreaterThanZero().SetDisplay("RangePeriod", "Number of previous candles that form the level", "Pattern")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Distance of the stop beyond the level, in percent", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._candles = []
self._stop_price = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(wyckoff_accumulation_strategy, self).OnReseted()
self._candles = []
self._stop_price = Decimal(0)
def OnStarted2(self, time):
super(wyckoff_accumulation_strategy, self).OnStarted2(time)
self._candles = []
self._stop_price = Decimal(0)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
# The level is formed by the candles before this one.
period = self._range_period.Value
ready = len(self._candles) == period
high = max(c[0] for c in self._candles) if ready else Decimal(0)
low = min(c[1] for c in self._candles) if ready else Decimal(0)
self._candles.append((candle.HighPrice, candle.LowPrice))
if len(self._candles) > period:
self._candles.pop(0)
if not self.IsFormedAndOnlineAndAllowTrading():
return
close = candle.ClosePrice
if self.Position > 0:
if close <= self._stop_price:
self.SellMarket(self.Position)
return
if self.Position != 0 or not ready or not (close > high):
return
percent = Decimal(self._stop_loss_percent.Value) / Decimal(100)
self.BuyMarket(self.Volume)
self._stop_price = low * (Decimal(1) - percent)
def CreateClone(self):
return wyckoff_accumulation_strategy()