平衡力量直方图策略
该策略改编自 MQL/16214 中的 MetaTrader 专家顾问,利用 平衡力量(BOP)指标来识别市场动能的变化。
逻辑
对每个完成的K线计算平衡力量:
\(BOP = \frac{Close - Open}{High - Low}\)
比较连续的三个 BOP 值。
- 如果前一个值低于更早的值,且当前值高于前一个值,说明 BOP 向上转折,策略做多。
- 如果前一个值高于更早的值,且当前值低于前一个值,说明 BOP 向下转折,策略做空。
仅在K线收盘后才改变仓位,以避免假信号。
参数
- CandleType – 用于计算的K线周期,默认使用4小时K线。
说明
该移植版本聚焦于原策略的核心行为,并未实现 MQL 版本中的资金管理设置。
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>
/// Balance of Power histogram strategy that trades confirmed zero-line reversals.
/// </summary>
public class BalanceOfPowerHistogramStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _signalLevel;
private readonly StrategyParam<int> _cooldownCandles;
private int _barsSinceSignal;
private decimal? _prevBop;
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Minimum Balance of Power value required for a signal.
/// </summary>
public decimal SignalLevel
{
get => _signalLevel.Value;
set => _signalLevel.Value = value;
}
/// <summary>
/// Minimum number of finished candles between entries.
/// </summary>
public int CooldownCandles
{
get => _cooldownCandles.Value;
set => _cooldownCandles.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="BalanceOfPowerHistogramStrategy"/>.
/// </summary>
public BalanceOfPowerHistogramStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_signalLevel = Param(nameof(SignalLevel), 0.30m)
.SetDisplay("Signal Level", "Minimum BOP value for confirmed reversals", "Signal");
_cooldownCandles = Param(nameof(CooldownCandles), 3)
.SetDisplay("Cooldown Candles", "Minimum finished candles between entries", "Signal");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_barsSinceSignal = CooldownCandles;
_prevBop = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_barsSinceSignal = CooldownCandles;
_prevBop = null;
var bop = new BalanceOfPower();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(bop, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal bop)
{
if (candle.State != CandleStates.Finished)
return;
var prevBop = _prevBop;
_prevBop = bop;
_barsSinceSignal++;
if (!IsFormedAndOnlineAndAllowTrading() || prevBop is null)
return;
if (_barsSinceSignal < CooldownCandles)
return;
var turnedUp = prevBop <= -SignalLevel && bop >= SignalLevel;
var turnedDown = prevBop >= SignalLevel && bop <= -SignalLevel;
if (turnedUp && Position <= 0)
{
BuyMarket();
_barsSinceSignal = 0;
}
else if (turnedDown && Position >= 0)
{
SellMarket();
_barsSinceSignal = 0;
}
}
}
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 BalanceOfPower
from StockSharp.Algo.Strategies import Strategy
class balance_of_power_histogram_strategy(Strategy):
def __init__(self):
super(balance_of_power_histogram_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._signal_level = self.Param("SignalLevel", 0.30) \
.SetDisplay("Signal Level", "Minimum BOP value for confirmed reversals", "Signal")
self._cooldown_candles = self.Param("CooldownCandles", 3) \
.SetDisplay("Cooldown Candles", "Minimum finished candles between entries", "Signal")
self._bars_since_signal = 0
self._prev_bop = None
@property
def candle_type(self):
return self._candle_type.Value
@property
def signal_level(self):
return self._signal_level.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
def OnReseted(self):
super(balance_of_power_histogram_strategy, self).OnReseted()
self._bars_since_signal = int(self.cooldown_candles)
self._prev_bop = None
def OnStarted2(self, time):
super(balance_of_power_histogram_strategy, self).OnStarted2(time)
self._bars_since_signal = int(self.cooldown_candles)
self._prev_bop = None
bop = BalanceOfPower()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(bop, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def process_candle(self, candle, bop):
if candle.State != CandleStates.Finished:
return
bop = float(bop)
prev_bop = self._prev_bop
self._prev_bop = bop
self._bars_since_signal += 1
if prev_bop is None:
return
if self._bars_since_signal < int(self.cooldown_candles):
return
sl = float(self.signal_level)
turned_up = prev_bop <= -sl and bop >= sl
turned_down = prev_bop >= sl and bop <= -sl
if turned_up and self.Position <= 0:
self.BuyMarket()
self._bars_since_signal = 0
elif turned_down and self.Position >= 0:
self.SellMarket()
self._bars_since_signal = 0
def CreateClone(self):
return balance_of_power_histogram_strategy()