バーレンジ戦略
Bar Range戦略は、現在のバーのレンジが直近のバーの中で最も高い水準にあり、かつローソク足が始値を下回って終値をつけたときにロングエントリーします。ポジションは固定本数のバー後にクローズされます。
詳細
- エントリー条件:
- レンジ = High − Low
LookbackPeriodにおけるレンジのパーセントランク ≥PercentRankThreshold- Close < Open
- エグジット条件:
ExitBars本後にポジションをクローズ。 - デフォルト値:
LookbackPeriod= 50PercentRankThreshold= 95ExitBars= 1
- フィルター:
- カテゴリ: ボラティリティ
- 方向: ロングのみ
- インジケーター: Percent Rank
- ストップ: いいえ
- 複雑さ: 低
- 時間軸: 任意
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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>
/// Bar Range strategy.
/// Long only: buys a bearish candle (close below open) whose high-low range has a percent rank of at least PercentRankThreshold
/// among the previous LookbackPeriod ranges, and closes the long after ExitBars bars.
/// </summary>
public class BarRangeStrategy : Strategy
{
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _percentRankThreshold;
private readonly StrategyParam<int> _exitBars;
private readonly StrategyParam<DataType> _candleType;
private readonly Queue<decimal> _ranges = new();
private int _barsInPosition;
/// <summary>
/// Previous bars the range is ranked against.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Minimum percent rank of the range that allows an entry.
/// </summary>
public decimal PercentRankThreshold
{
get => _percentRankThreshold.Value;
set => _percentRankThreshold.Value = value;
}
/// <summary>
/// Bars after which the long is closed.
/// </summary>
public int ExitBars
{
get => _exitBars.Value;
set => _exitBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public BarRangeStrategy()
{
_lookbackPeriod = Param(nameof(LookbackPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("Lookback Period", "Previous bars the range is ranked against", "Indicators");
_percentRankThreshold = Param(nameof(PercentRankThreshold), 95m)
.SetRange(0m, 100m)
.SetDisplay("Percent Rank Threshold", "Minimum percent rank of the range that allows an entry", "Indicators");
_exitBars = Param(nameof(ExitBars), 1)
.SetGreaterThanZero()
.SetDisplay("Exit Bars", "Bars after which the long is closed", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_ranges.Clear();
_barsInPosition = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_ranges.Clear();
_barsInPosition = 0;
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;
var range = candle.HighPrice - candle.LowPrice;
// Percent rank: share of the previous LookbackPeriod ranges that do not exceed the current one.
decimal? rank = null;
if (_ranges.Count == LookbackPeriod)
rank = 100m * _ranges.Count(r => r <= range) / LookbackPeriod;
_ranges.Enqueue(range);
while (_ranges.Count > LookbackPeriod)
_ranges.Dequeue();
if (Position > 0)
_barsInPosition++;
else
_barsInPosition = 0;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position > 0)
{
if (_barsInPosition >= ExitBars)
SellMarket(Position);
return;
}
if (Position == 0 && rank is decimal r && r >= PercentRankThreshold && candle.ClosePrice < candle.OpenPrice)
BuyMarket(Volume);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Strategies")
from collections import deque
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class bar_range_strategy(Strategy):
"""
Bar Range strategy.
Long only: buys a bearish candle (close below open) whose high-low range has a percent rank of at least PercentRankThreshold
among the previous LookbackPeriod ranges, and closes the long after ExitBars bars.
"""
def __init__(self):
super(bar_range_strategy, self).__init__()
self._lookback_period = self.Param("LookbackPeriod", 50).SetGreaterThanZero().SetDisplay("Lookback Period", "Previous bars the range is ranked against", "Indicators")
self._percent_rank_threshold = self.Param("PercentRankThreshold", 95.0).SetRange(0.0, 100.0).SetDisplay("Percent Rank Threshold", "Minimum percent rank of the range that allows an entry", "Indicators")
self._exit_bars = self.Param("ExitBars", 1).SetGreaterThanZero().SetDisplay("Exit Bars", "Bars after which the long is closed", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._ranges = deque()
self._bars_in_position = 0
def OnReseted(self):
super(bar_range_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(bar_range_strategy, self).OnStarted2(time)
self._reset_state()
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
lookback = self._lookback_period.Value
rng = candle.HighPrice - candle.LowPrice
# Percent rank: share of the previous LookbackPeriod ranges that do not exceed the current one.
rank = None
if len(self._ranges) == lookback:
rank = 100.0 * sum(1 for r in self._ranges if r <= rng) / lookback
self._ranges.append(rng)
while len(self._ranges) > lookback:
self._ranges.popleft()
if self.Position > 0:
self._bars_in_position += 1
else:
self._bars_in_position = 0
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position > 0:
if self._bars_in_position >= self._exit_bars.Value:
self.SellMarket(self.Position)
return
if self.Position == 0 and rank is not None and rank >= float(self._percent_rank_threshold.Value) and candle.ClosePrice < candle.OpenPrice:
self.BuyMarket(self.Volume)
def CreateClone(self):
return bar_range_strategy()