高级自适应网格策略
高级自适应网格策略利用多种技术指标判断趋势方向,并根据ATR波动性调整网格间距。价格触及网格水平并得到RSI确认时开仓,方向取决于当前趋势。风险控制包含固定止损、止盈、跟踪止损、时间退出以及每日亏损限制。
详情
- 入场条件:
- 趋势市场:价格到达计算的网格水平并且RSI确认。
- 震荡市场:RSI超买/超卖触发网格入场。
- 多空方向:双向。
- 出场条件:
- 止损、止盈、跟踪止损、趋势反转或时间到期。
- 止损:固定与跟踪。
- 默认值:
BaseGridSize= 1MaxPositions= 5UseVolatilityGrid= TrueAtrLength= 14AtrMultiplier= 1.5RsiLength= 14RsiOverbought= 70RsiOversold= 30ShortMaLength= 20LongMaLength= 50SuperLongMaLength= 200MacdFastLength= 12MacdSlowLength= 26MacdSignalLength= 9StopLossPercent= 2TakeProfitPercent= 3UseTrailingStop= TrueTrailingStopPercent= 1MaxLossPerDay= 5TimeBasedExit= TrueMaxHoldingPeriod= 48
- 筛选:
- 类别:网格 / 趋势
- 方向:双向
- 指标:ATR、SMA、MACD、RSI、Momentum
- 止损:是
- 复杂度:高
- 时间框架:任意
- 季节性:无
- 神经网络:无
- 背离:无
- 风险等级:高
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Advanced Adaptive Grid Trading Strategy.
/// Uses RSI extremes and MA trend to enter, with percentage-based stop/TP.
/// </summary>
public class AdvancedAdaptiveGridStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _rsiOverbought;
private readonly StrategyParam<int> _rsiOversold;
private readonly StrategyParam<int> _shortMaLength;
private readonly StrategyParam<int> _longMaLength;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<decimal> _takeProfitPercent;
private readonly StrategyParam<int> _cooldownBars;
private decimal _entryPrice;
private int _cooldownRemaining;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public int RsiOverbought { get => _rsiOverbought.Value; set => _rsiOverbought.Value = value; }
public int RsiOversold { get => _rsiOversold.Value; set => _rsiOversold.Value = value; }
public int ShortMaLength { get => _shortMaLength.Value; set => _shortMaLength.Value = value; }
public int LongMaLength { get => _longMaLength.Value; set => _longMaLength.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public decimal TakeProfitPercent { get => _takeProfitPercent.Value; set => _takeProfitPercent.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AdvancedAdaptiveGridStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Indicators");
_rsiOverbought = Param(nameof(RsiOverbought), 70)
.SetDisplay("RSI Overbought", "Overbought level", "Indicators");
_rsiOversold = Param(nameof(RsiOversold), 30)
.SetDisplay("RSI Oversold", "Oversold level", "Indicators");
_shortMaLength = Param(nameof(ShortMaLength), 20)
.SetGreaterThanZero()
.SetDisplay("Short MA", "Short moving average length", "Trend");
_longMaLength = Param(nameof(LongMaLength), 50)
.SetGreaterThanZero()
.SetDisplay("Long MA", "Long moving average length", "Trend");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_takeProfitPercent = Param(nameof(TakeProfitPercent), 3m)
.SetGreaterThanZero()
.SetDisplay("Take Profit %", "Take profit percentage", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var shortMa = new SimpleMovingAverage { Length = ShortMaLength };
var longMa = new SimpleMovingAverage { Length = LongMaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, shortMa, longMa, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, shortMa);
DrawIndicator(area, longMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal shortMaValue, decimal longMaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var currentPrice = candle.ClosePrice;
var bullish = shortMaValue > longMaValue;
var bearish = shortMaValue < longMaValue;
// Check stop/TP for existing positions
if (Position > 0 && _entryPrice > 0)
{
var stopPrice = _entryPrice * (1 - StopLossPercent / 100m);
var tpPrice = _entryPrice * (1 + TakeProfitPercent / 100m);
if (currentPrice <= stopPrice || currentPrice >= tpPrice)
{
SellMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
return;
}
}
else if (Position < 0 && _entryPrice > 0)
{
var stopPrice = _entryPrice * (1 + StopLossPercent / 100m);
var tpPrice = _entryPrice * (1 - TakeProfitPercent / 100m);
if (currentPrice >= stopPrice || currentPrice <= tpPrice)
{
BuyMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
return;
}
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
return;
}
// Entry logic
if (bullish && rsiValue < RsiOversold && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_entryPrice = currentPrice;
_cooldownRemaining = CooldownBars;
}
else if (bearish && rsiValue > RsiOverbought && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_entryPrice = currentPrice;
_cooldownRemaining = CooldownBars;
}
// Trend reversal exit
else if (Position > 0 && bearish && rsiValue > RsiOverbought)
{
SellMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && bullish && rsiValue < RsiOversold)
{
BuyMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import RelativeStrengthIndex, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class advanced_adaptive_grid_strategy(Strategy):
def __init__(self):
super(advanced_adaptive_grid_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Length", "RSI period", "Indicators")
self._rsi_overbought = self.Param("RsiOverbought", 70) \
.SetDisplay("RSI Overbought", "Overbought level", "Indicators")
self._rsi_oversold = self.Param("RsiOversold", 30) \
.SetDisplay("RSI Oversold", "Oversold level", "Indicators")
self._short_ma_length = self.Param("ShortMaLength", 20) \
.SetGreaterThanZero() \
.SetDisplay("Short MA", "Short moving average length", "Trend")
self._long_ma_length = self.Param("LongMaLength", 50) \
.SetGreaterThanZero() \
.SetDisplay("Long MA", "Long moving average length", "Trend")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit_percent = self.Param("TakeProfitPercent", 3.0) \
.SetGreaterThanZero() \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._entry_price = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(advanced_adaptive_grid_strategy, self).OnReseted()
self._entry_price = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(advanced_adaptive_grid_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = int(self._rsi_length.Value)
short_ma = SimpleMovingAverage()
short_ma.Length = int(self._short_ma_length.Value)
long_ma = SimpleMovingAverage()
long_ma.Length = int(self._long_ma_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, short_ma, long_ma, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, short_ma)
self.DrawIndicator(area, long_ma)
self.DrawOwnTrades(area)
def _on_process(self, candle, rsi_val, short_ma_val, long_ma_val):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
current_price = float(candle.ClosePrice)
rsi_v = float(rsi_val)
short_v = float(short_ma_val)
long_v = float(long_ma_val)
bullish = short_v > long_v
bearish = short_v < long_v
sl_pct = float(self._stop_loss_percent.Value)
tp_pct = float(self._take_profit_percent.Value)
ob = float(self._rsi_overbought.Value)
os_level = float(self._rsi_oversold.Value)
cooldown = int(self._cooldown_bars.Value)
# Check stop/TP for existing positions
if self.Position > 0 and self._entry_price > 0:
stop_price = self._entry_price * (1.0 - sl_pct / 100.0)
tp_price = self._entry_price * (1.0 + tp_pct / 100.0)
if current_price <= stop_price or current_price >= tp_price:
self.SellMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
return
elif self.Position < 0 and self._entry_price > 0:
stop_price = self._entry_price * (1.0 + sl_pct / 100.0)
tp_price = self._entry_price * (1.0 - tp_pct / 100.0)
if current_price >= stop_price or current_price <= tp_price:
self.BuyMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
return
# Entry logic
if bullish and rsi_v < os_level and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._entry_price = current_price
self._cooldown_remaining = cooldown
elif bearish and rsi_v > ob and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._entry_price = current_price
self._cooldown_remaining = cooldown
# Trend reversal exit
elif self.Position > 0 and bearish and rsi_v > ob:
self.SellMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
elif self.Position < 0 and bullish and rsi_v < os_level:
self.BuyMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
def CreateClone(self):
return advanced_adaptive_grid_strategy()