モメンタム Keltner Stochastic コンボ戦略
モメンタム比較とKeltnerベースのStochasticオシレーターを組み合わせた戦略です。
ポジションサイズは資本に基づいて動的にスケーリングされ、固定ストップロスで保護されます。
詳細
- エントリー条件:
- ロング:
Momentum > 0かつKeltnerStoch < Threshold - ショート:
Momentum < 0かつKeltnerStoch > Threshold
- ロング:
- ロング/ショート: 両方
- エグジット条件:
- ロング:
KeltnerStoch > Threshold - ショート:
KeltnerStoch < Threshold
- ロング:
- ストップ: エントリーの下/上に固定
SlPoints - デフォルト値:
MomLength= 7KeltnerLength= 9KeltnerMultiplier= 0.5Threshold= 99AtrLength= 20SlPoints= 1185EnableScaling= trueBaseContracts= 1InitialCapital= 30000EquityStep= 150000MaxContracts= 15CandleType= TimeSpan.FromMinutes(5).TimeFrame()
- フィルター:
- カテゴリ: トレンドフォロー
- 方向: 両方
- インジケーター: Momentum、EMA、ATR
- ストップ: はい
- 複雑さ: 中級
- 時間軸: 中期
- 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 Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Momentum Keltner Stochastic Combo strategy.
/// The Keltner stochastic places the close inside a Keltner channel (EMA basis, ATR width) on a 0-100 scale.
/// Goes long when momentum is positive and the stochastic is below Threshold, short when momentum is negative and
/// the stochastic is above Threshold. A long exits when the stochastic rises above Threshold and a short when it falls
/// below it. Position size can grow with realized profit, and a fixed stop in points protects every position.
/// </summary>
public class MomentumKeltnerStochasticComboStrategy : Strategy
{
private readonly StrategyParam<int> _momLength;
private readonly StrategyParam<int> _keltnerLength;
private readonly StrategyParam<decimal> _keltnerMultiplier;
private readonly StrategyParam<decimal> _threshold;
private readonly StrategyParam<int> _atrLength;
private readonly StrategyParam<decimal> _slPoints;
private readonly StrategyParam<bool> _enableScaling;
private readonly StrategyParam<int> _baseContracts;
private readonly StrategyParam<decimal> _initialCapital;
private readonly StrategyParam<decimal> _equityStep;
private readonly StrategyParam<int> _maxContracts;
private readonly StrategyParam<DataType> _candleType;
public int MomLength
{
get => _momLength.Value;
set => _momLength.Value = value;
}
public int KeltnerLength
{
get => _keltnerLength.Value;
set => _keltnerLength.Value = value;
}
public decimal KeltnerMultiplier
{
get => _keltnerMultiplier.Value;
set => _keltnerMultiplier.Value = value;
}
public decimal Threshold
{
get => _threshold.Value;
set => _threshold.Value = value;
}
public int AtrLength
{
get => _atrLength.Value;
set => _atrLength.Value = value;
}
public decimal SlPoints
{
get => _slPoints.Value;
set => _slPoints.Value = value;
}
public bool EnableScaling
{
get => _enableScaling.Value;
set => _enableScaling.Value = value;
}
public int BaseContracts
{
get => _baseContracts.Value;
set => _baseContracts.Value = value;
}
public decimal InitialCapital
{
get => _initialCapital.Value;
set => _initialCapital.Value = value;
}
public decimal EquityStep
{
get => _equityStep.Value;
set => _equityStep.Value = value;
}
public int MaxContracts
{
get => _maxContracts.Value;
set => _maxContracts.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public MomentumKeltnerStochasticComboStrategy()
{
_momLength = Param(nameof(MomLength), 7)
.SetGreaterThanZero()
.SetDisplay("Momentum Lookback", "Momentum lookback length", "Indicators")
.SetOptimize(5, 15, 1);
_keltnerLength = Param(nameof(KeltnerLength), 9)
.SetGreaterThanZero()
.SetDisplay("Keltner EMA Length", "EMA length for Keltner basis", "Indicators")
.SetOptimize(5, 20, 1);
_keltnerMultiplier = Param(nameof(KeltnerMultiplier), 0.5m)
.SetGreaterThanZero()
.SetDisplay("Keltner Mult", "Keltner multiplier", "Indicators")
.SetOptimize(0.5m, 2m, 0.1m);
_threshold = Param(nameof(Threshold), 99m)
.SetRange(0m, 100m)
.SetDisplay("Stochastic Threshold", "Threshold for Keltner stochastic", "Indicators")
.SetOptimize(50m, 100m, 5m);
_atrLength = Param(nameof(AtrLength), 20)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR length for Keltner", "Indicators")
.SetOptimize(10, 30, 1);
_slPoints = Param(nameof(SlPoints), 1185m)
.SetNotNegative()
.SetDisplay("Stop Loss Points", "Stop loss in price points", "Risk Management")
.SetOptimize(500m, 2000m, 100m);
_enableScaling = Param(nameof(EnableScaling), true)
.SetDisplay("Enable Dynamic Contracts", "Use equity based position sizing", "Money Management");
_baseContracts = Param(nameof(BaseContracts), 1)
.SetGreaterThanZero()
.SetDisplay("Base Contracts", "Initial contract size", "Money Management");
_initialCapital = Param(nameof(InitialCapital), 30000m)
.SetGreaterThanZero()
.SetDisplay("Initial Capital", "Starting capital", "Money Management");
_equityStep = Param(nameof(EquityStep), 150000m)
.SetGreaterThanZero()
.SetDisplay("Equity Step", "Equity step for contract change", "Money Management");
_maxContracts = Param(nameof(MaxContracts), 15)
.SetGreaterThanZero()
.SetDisplay("Max Contracts", "Maximum contracts allowed", "Money Management");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for calculations", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = KeltnerLength };
var atr = new AverageTrueRange { Length = AtrLength };
var momentum = new Momentum { Length = MomLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, atr, momentum, ProcessCandle)
.Start();
var step = Security?.PriceStep ?? 1m;
StartProtection(new Unit(), SlPoints > 0m ? new Unit(SlPoints * step, UnitTypes.Absolute) : new Unit(), useMarketOrders: true);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
DrawIndicator(oscillators, momentum);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal atrValue, decimal momentumValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var upper = emaValue + KeltnerMultiplier * atrValue;
var lower = emaValue - KeltnerMultiplier * atrValue;
var width = upper - lower;
if (width == 0m)
return;
var keltnerStoch = 100m * (candle.ClosePrice - lower) / width;
var size = GetContracts();
if (momentumValue > 0m && keltnerStoch < Threshold && Position <= 0)
BuyMarket(size + Math.Abs(Position));
else if (momentumValue < 0m && keltnerStoch > Threshold && Position >= 0)
SellMarket(size + Math.Abs(Position));
else if (Position > 0 && keltnerStoch > Threshold)
SellMarket(Position);
else if (Position < 0 && keltnerStoch < Threshold)
BuyMarket(-Position);
}
private decimal GetContracts()
{
var contracts = (decimal)BaseContracts;
if (EnableScaling)
{
// Every full EquityStep of equity above InitialCapital adds one contract, losses take them away.
var equity = InitialCapital + PnL;
var steps = Math.Floor((equity - InitialCapital) / EquityStep);
contracts = Math.Max(BaseContracts, BaseContracts + steps);
}
return Math.Min(contracts, MaxContracts);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
import math
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange, Momentum
from StockSharp.Algo.Strategies import Strategy
class momentum_keltner_stochastic_combo_strategy(Strategy):
"""
Momentum Keltner Stochastic Combo strategy.
The Keltner stochastic places the close inside a Keltner channel (EMA basis, ATR width) on a 0-100 scale.
Goes long when momentum is positive and the stochastic is below Threshold, short when momentum is negative and
the stochastic is above Threshold. A long exits when the stochastic rises above Threshold and a short when it falls
below it. Position size can grow with realized profit, and a fixed stop in points protects every position.
"""
def __init__(self):
super(momentum_keltner_stochastic_combo_strategy, self).__init__()
self._mom_length = self.Param("MomLength", 7).SetGreaterThanZero().SetDisplay("Momentum Lookback", "Momentum lookback length", "Indicators")
self._keltner_length = self.Param("KeltnerLength", 9).SetGreaterThanZero().SetDisplay("Keltner EMA Length", "EMA length for Keltner basis", "Indicators")
self._keltner_multiplier = self.Param("KeltnerMultiplier", 0.5).SetGreaterThanZero().SetDisplay("Keltner Mult", "Keltner multiplier", "Indicators")
self._threshold = self.Param("Threshold", 99.0).SetDisplay("Stochastic Threshold", "Threshold for Keltner stochastic", "Indicators")
self._atr_length = self.Param("AtrLength", 20).SetGreaterThanZero().SetDisplay("ATR Length", "ATR length for Keltner", "Indicators")
self._sl_points = self.Param("SlPoints", 1185.0).SetNotNegative().SetDisplay("Stop Loss Points", "Stop loss in price points", "Risk Management")
self._enable_scaling = self.Param("EnableScaling", True).SetDisplay("Enable Dynamic Contracts", "Use equity based position sizing", "Money Management")
self._base_contracts = self.Param("BaseContracts", 1).SetGreaterThanZero().SetDisplay("Base Contracts", "Initial contract size", "Money Management")
self._initial_capital = self.Param("InitialCapital", 30000.0).SetGreaterThanZero().SetDisplay("Initial Capital", "Starting capital", "Money Management")
self._equity_step = self.Param("EquityStep", 150000.0).SetGreaterThanZero().SetDisplay("Equity Step", "Equity step for contract change", "Money Management")
self._max_contracts = self.Param("MaxContracts", 15).SetGreaterThanZero().SetDisplay("Max Contracts", "Maximum contracts allowed", "Money Management")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles for calculations", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(momentum_keltner_stochastic_combo_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self._keltner_length.Value
atr = AverageTrueRange()
atr.Length = self._atr_length.Value
momentum = Momentum()
momentum.Length = self._mom_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema, atr, momentum, self._process_candle).Start()
step = self.Security.PriceStep if self.Security is not None and self.Security.PriceStep is not None else Decimal(1)
sl = self._sl_points.Value
self.StartProtection(Unit(), Unit(Decimal(sl) * step, UnitTypes.Absolute) if sl > 0 else Unit(), useMarketOrders=True)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, momentum)
def _process_candle(self, candle, ema_value, atr_value, momentum_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
multiplier = float(self._keltner_multiplier.Value)
ema = float(ema_value)
atr = float(atr_value)
upper = ema + multiplier * atr
lower = ema - multiplier * atr
width = upper - lower
if width == 0.0:
return
keltner_stoch = 100.0 * (float(candle.ClosePrice) - lower) / width
momentum = float(momentum_value)
threshold = float(self._threshold.Value)
size = self._get_contracts()
if momentum > 0.0 and keltner_stoch < threshold and self.Position <= 0:
self.BuyMarket(size + abs(self.Position))
elif momentum < 0.0 and keltner_stoch > threshold and self.Position >= 0:
self.SellMarket(size + abs(self.Position))
elif self.Position > 0 and keltner_stoch > threshold:
self.SellMarket(self.Position)
elif self.Position < 0 and keltner_stoch < threshold:
self.BuyMarket(-self.Position)
def _get_contracts(self):
base = self._base_contracts.Value
contracts = float(base)
if self._enable_scaling.Value:
# Every full EquityStep of equity above InitialCapital adds one contract, losses take them away.
initial = float(self._initial_capital.Value)
equity = initial + float(self.PnL)
steps = math.floor((equity - initial) / float(self._equity_step.Value))
contracts = max(float(base), base + steps)
return Decimal(min(contracts, float(self._max_contracts.Value)))
def CreateClone(self):
return momentum_keltner_stochastic_combo_strategy()