Anands策略
该策略通过上一交易日的日线确定方向。 若前一日收盘价高于其最高价,则考虑做多;若低于最低价,则考虑做空。 在15分钟级别上监测最近的两根已完成K线。 当上一根K线收于两根之前的最高价之上时开多, 当上一根收盘低于两根之前的最低价时开空。
细节
- 入场条件:
- 前一日收盘价超出其日线范围决定多空偏向。
- 多头:上一根15分K线收盘价 > 两根之前的最高价。
- 空头:上一根15分K线收盘价 < 两根之前的最低价。
- 方向:双向。
- 出场条件:无,反向信号平仓。
- 止损:建议放在突破K线的相反端。
- 默认参数:
CandleType= 15分钟
- 过滤器:
- 类型:突破
- 方向:双向
- 指标:K线
- 止损:可选
- 复杂度:低
- 时间框架:日内
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中等
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>
/// Anand's breakout strategy based on short-term trend and price level breakouts.
/// Uses EMA for trend and breakout of previous candle high/low for entry.
/// </summary>
public class AnandsStrategy : Strategy
{
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevHigh;
private decimal _prevLow;
private int _barIndex;
private int _lastTradeBar;
/// <summary>
/// EMA period for trend filter.
/// </summary>
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Trading candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AnandsStrategy()
{
_emaLength = Param(nameof(EmaLength), 5)
.SetDisplay("EMA Length", "EMA trend filter period", "Indicator");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Trading timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevHigh = 0;
_prevLow = 0;
_barIndex = 0;
_lastTradeBar = -100;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ema, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
if (_prevHigh == 0 || _prevLow == 0)
{
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
return;
}
var cooldownOk = _barIndex - _lastTradeBar > CooldownBars;
var upTrend = candle.ClosePrice > emaValue;
var downTrend = candle.ClosePrice < emaValue;
// Breakout above previous candle high in uptrend
if (upTrend && candle.ClosePrice > _prevHigh && Position <= 0 && cooldownOk)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
// Breakout below previous candle low in downtrend
else if (downTrend && candle.ClosePrice < _prevLow && Position >= 0 && cooldownOk)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
}
}
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 CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class anands_strategy(Strategy):
"""
Anand's breakout strategy based on short-term trend and price level breakouts.
Uses EMA for trend and breakout of previous candle high/low for entry.
"""
def __init__(self):
super(anands_strategy, self).__init__()
self._ema_length = self.Param("EmaLength", 5) \
.SetDisplay("EMA Length", "EMA trend filter period", "Indicator")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading")
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Trading timeframe", "General")
self._prev_high = 0.0
self._prev_low = 0.0
self._bar_index = 0
self._last_trade_bar = -100
@property
def EmaLength(self): return self._ema_length.Value
@EmaLength.setter
def EmaLength(self, v): self._ema_length.Value = v
@property
def CooldownBars(self): return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, v): self._cooldown_bars.Value = v
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, v): self._candle_type.Value = v
def OnReseted(self):
super(anands_strategy, self).OnReseted()
self._prev_high = 0.0
self._prev_low = 0.0
self._bar_index = 0
self._last_trade_bar = -100
def OnStarted2(self, time):
super(anands_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.EmaLength
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(ema, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
if self._prev_high == 0 or self._prev_low == 0:
self._prev_high = float(candle.HighPrice)
self._prev_low = float(candle.LowPrice)
return
close = float(candle.ClosePrice)
cooldown_ok = self._bar_index - self._last_trade_bar > self.CooldownBars
up_trend = close > ema_value
down_trend = close < ema_value
if up_trend and close > self._prev_high and self.Position <= 0 and cooldown_ok:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif down_trend and close < self._prev_low and self.Position >= 0 and cooldown_ok:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_high = float(candle.HighPrice)
self._prev_low = float(candle.LowPrice)
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return anands_strategy()