TTM 网格策略
该策略基于高低价的 EMA 计算简单的 TTM 状态,并据此建立买卖网格。状态改变时重置网格,价格触及网格线即下单。
详情
- 入场条件: 价格触及对应 TTM 状态的网格价位
- 多空方向: 双向
- 退出条件: 无(持仓累积)
- 止损: 无
- 默认值:
TtmPeriod= 6GridLevels= 5GridSpacing= 0.01mCandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类型: 网格
- 方向: 双向
- 指标: EMA
- 止损: 无
- 复杂度: 基础
- 时间框架: 日内 (5m)
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// TTM-based grid trading strategy.
/// Uses fast and slow EMA with RSI momentum for directional trading.
/// </summary>
public class TTMGridStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _gridLevels;
private readonly StrategyParam<decimal> _gridSpacing;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private decimal _prevFast;
private decimal _prevSlow;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int GridLevels { get => _gridLevels.Value; set => _gridLevels.Value = value; }
public decimal GridSpacing { get => _gridSpacing.Value; set => _gridSpacing.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TTMGridStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicators");
_gridLevels = Param(nameof(GridLevels), 14)
.SetDisplay("RSI Period", "RSI period for momentum", "Strategy");
_gridSpacing = Param(nameof(GridSpacing), 0.005m)
.SetDisplay("Grid Spacing", "Distance between grid levels (fraction)", "Strategy");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_prevFast = 0;
_prevSlow = 0;
_cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
var rsi = new RelativeStrengthIndex { Length = GridLevels };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fastEma, slowEma, rsi, OnProcess).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal fastMa, decimal slowMa, decimal rsiVal)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevRsi == 0 || _prevFast == 0 || _prevSlow == 0)
{
_prevRsi = rsiVal;
_prevFast = fastMa;
_prevSlow = slowMa;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevRsi = rsiVal;
_prevFast = fastMa;
_prevSlow = slowMa;
return;
}
// EMA histogram
var hist = fastMa - slowMa;
var histUp = hist > 0m;
var histDown = hist < 0m;
// RSI cross 50
var rsiCrossUp = _prevRsi <= 50m && rsiVal > 50m;
var rsiCrossDown = _prevRsi >= 50m && rsiVal < 50m;
// Exit
if (Position > 0 && rsiCrossDown)
{
SellMarket();
_cooldown = 80;
}
else if (Position < 0 && rsiCrossUp)
{
BuyMarket();
_cooldown = 80;
}
// Entry
if (Position == 0)
{
if (rsiCrossUp && histUp)
{
BuyMarket();
_cooldown = 80;
}
else if (rsiCrossDown && histDown)
{
SellMarket();
_cooldown = 80;
}
}
_prevRsi = rsiVal;
_prevFast = fastMa;
_prevSlow = slowMa;
}
}
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 ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class ttm_grid_strategy(Strategy):
def __init__(self):
super(ttm_grid_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 8) \
.SetDisplay("Fast Period", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow Period", "Slow EMA period", "Indicators")
self._grid_levels = self.Param("GridLevels", 14) \
.SetDisplay("RSI Period", "RSI period for momentum", "Strategy")
self._grid_spacing = self.Param("GridSpacing", 0.005) \
.SetDisplay("Grid Spacing", "Distance between grid levels (fraction)", "Strategy")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_rsi = 0.0
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def grid_levels(self):
return self._grid_levels.Value
@property
def grid_spacing(self):
return self._grid_spacing.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ttm_grid_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._prev_fast = 0.0
self._prev_slow = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(ttm_grid_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.grid_levels
ema_fast = ExponentialMovingAverage()
ema_fast.Length = self.fast_period
ema_slow = ExponentialMovingAverage()
ema_slow.Length = int(self.slow_period)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, ema_fast, ema_slow, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema_fast)
self.DrawIndicator(area, ema_slow)
self.DrawOwnTrades(area)
def on_process(self, candle, rsi_val, ema_fast, ema_slow):
if candle.State != CandleStates.Finished:
return
rsi_val = float(rsi_val)
ema_fast = float(ema_fast)
ema_slow = float(ema_slow)
if self._prev_rsi == 0 or self._prev_fast == 0 or self._prev_slow == 0:
self._prev_rsi = rsi_val
self._prev_fast = ema_fast
self._prev_slow = ema_slow
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_rsi = rsi_val
self._prev_fast = ema_fast
self._prev_slow = ema_slow
return
hist = ema_fast - ema_slow
hist_up = hist > 0
hist_down = hist < 0
rsi_cross_up = self._prev_rsi <= 50 and rsi_val > 50
rsi_cross_down = self._prev_rsi >= 50 and rsi_val < 50
if self.Position > 0 and rsi_cross_down:
self.SellMarket()
self._cooldown = 80
elif self.Position < 0 and rsi_cross_up:
self.BuyMarket()
self._cooldown = 80
if self.Position == 0:
if rsi_cross_up and hist_up:
self.BuyMarket()
self._cooldown = 80
elif rsi_cross_down and hist_down:
self.SellMarket()
self._cooldown = 80
self._prev_rsi = rsi_val
self._prev_fast = ema_fast
self._prev_slow = ema_slow
def CreateClone(self):
return ttm_grid_strategy()