成交量回溯速度策略
该策略在以下条件同时满足时做多:成交量增加、RSI处于超卖区域、ATR显示波动性减弱,并且最近两次价格突破均线之间的距离大于设定值。
参数
- RSI长度 – RSI计算周期。
- RSI超卖值 – 超卖阈值。
- ATR短期/长期 – ATR比较周期。
- 距离 – 两次突破价格之间的最小差值。
- K线类型 – 输入K线的时间框架。
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>
/// Strategy inspired by "Volume ValueWhen Velocity".
/// It looks for oversold RSI, low volatility ATR condition and compares previous
/// SMA breakout prices to measure distance. When all conditions are met a long trade is opened.
/// </summary>
public class VolumeValueWhenVelocityStrategy : Strategy
{
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _rsiOversold;
private readonly StrategyParam<int> _atrSmall;
private readonly StrategyParam<int> _atrBig;
private readonly StrategyParam<int> _distance;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevVolume1;
private decimal _prevVolume2;
private decimal _lastCross;
private decimal _prevCross;
private int _barsSinceCross;
/// <summary>
/// RSI length.
/// </summary>
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
/// <summary>
/// Oversold level.
/// </summary>
public int RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// Short ATR period.
/// </summary>
public int AtrSmall
{
get => _atrSmall.Value;
set => _atrSmall.Value = value;
}
/// <summary>
/// Long ATR period.
/// </summary>
public int AtrBig
{
get => _atrBig.Value;
set => _atrBig.Value = value;
}
/// <summary>
/// Minimum distance between SMA breakout prices.
/// </summary>
public int Distance
{
get => _distance.Value;
set => _distance.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes <see cref="VolumeValueWhenVelocityStrategy"/>.
/// </summary>
public VolumeValueWhenVelocityStrategy()
{
_rsiLength = Param(nameof(RsiLength), 40)
.SetDisplay("RSI Length", "RSI period", "Indicators");
_rsiOversold = Param(nameof(RsiOversold), 60)
.SetDisplay("RSI Oversold", "Oversold level", "Indicators");
_atrSmall = Param(nameof(AtrSmall), 5)
.SetDisplay("ATR Small", "Short ATR period", "Indicators");
_atrBig = Param(nameof(AtrBig), 14)
.SetDisplay("ATR Big", "Long ATR period", "Indicators");
_distance = Param(nameof(Distance), 170)
.SetDisplay("Distance", "Minimum distance between breakouts", "Strategy");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevVolume1 = 0;
_prevVolume2 = 0;
_lastCross = 0;
_prevCross = 0;
_barsSinceCross = int.MaxValue;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var atrShort = new AverageTrueRange { Length = AtrSmall };
var atrLong = new AverageTrueRange { Length = AtrBig };
var sma = new SMA { Length = 13 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, atrShort, atrLong, sma, ProcessCandle)
.Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(3, UnitTypes.Percent)
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal atrShortValue, decimal atrLongValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
// track volumes for simple comparison
if (_prevVolume1 == 0)
{
_prevVolume1 = candle.TotalVolume;
return;
}
// update bars since last SMA breakout
if (candle.ClosePrice > smaValue)
{
_barsSinceCross = 0;
_prevCross = _lastCross;
_lastCross = candle.ClosePrice;
}
else
{
_barsSinceCross++;
}
var prevCloseChange = _prevCross - _lastCross;
var wasOversold = rsiValue <= RsiOversold;
var atrCondition = atrShortValue < atrLongValue;
var volumeCondition = candle.TotalVolume > _prevVolume1 && _prevVolume1 > _prevVolume2;
_prevVolume2 = _prevVolume1;
_prevVolume1 = candle.TotalVolume;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (volumeCondition && atrCondition && wasOversold && prevCloseChange > Distance && _barsSinceCross < 5 && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import AverageTrueRange, RelativeStrengthIndex, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volume_value_when_velocity_strategy(Strategy):
def __init__(self):
super(volume_value_when_velocity_strategy, self).__init__()
self._rsi_length = self.Param("RsiLength", 40) \
.SetDisplay("RSI Length", "RSI period", "Indicators")
self._rsi_oversold = self.Param("RsiOversold", 60) \
.SetDisplay("RSI Oversold", "Oversold level", "Indicators")
self._atr_small = self.Param("AtrSmall", 5) \
.SetDisplay("ATR Small", "Short ATR period", "Indicators")
self._atr_big = self.Param("AtrBig", 14) \
.SetDisplay("ATR Big", "Long ATR period", "Indicators")
self._distance = self.Param("Distance", 170) \
.SetDisplay("Distance", "Minimum distance between breakouts", "Strategy")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_volume1 = 0.0
self._prev_volume2 = 0.0
self._last_cross = 0.0
self._prev_cross = 0.0
self._bars_since_cross = 2147483647
@property
def rsi_length(self):
return self._rsi_length.Value
@property
def rsi_oversold(self):
return self._rsi_oversold.Value
@property
def atr_small(self):
return self._atr_small.Value
@property
def atr_big(self):
return self._atr_big.Value
@property
def distance(self):
return self._distance.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(volume_value_when_velocity_strategy, self).OnReseted()
self._prev_volume1 = 0.0
self._prev_volume2 = 0.0
self._last_cross = 0.0
self._prev_cross = 0.0
self._bars_since_cross = 2147483647
def OnStarted2(self, time):
super(volume_value_when_velocity_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_length
atr_short = AverageTrueRange()
atr_short.Length = self.atr_small
atr_long = AverageTrueRange()
atr_long.Length = self.atr_big
sma = SimpleMovingAverage()
sma.Length = 13
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, atr_short, atr_long, sma, self.on_process).Start()
self.StartProtection(Unit(2, UnitTypes.Percent), Unit(3, UnitTypes.Percent))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def on_process(self, candle, rsi_value, atr_short_value, atr_long_value, sma_value):
if candle.State != CandleStates.Finished:
return
rsi_value = float(rsi_value)
atr_short_value = float(atr_short_value)
atr_long_value = float(atr_long_value)
sma_value = float(sma_value)
close = float(candle.ClosePrice)
vol = float(candle.TotalVolume)
# track volumes for simple comparison
if self._prev_volume1 == 0:
self._prev_volume1 = vol
return
# update bars since last SMA breakout
if close > sma_value:
self._bars_since_cross = 0
self._prev_cross = self._last_cross
self._last_cross = close
else:
self._bars_since_cross += 1
prev_close_change = self._prev_cross - self._last_cross
was_oversold = rsi_value <= float(self.rsi_oversold)
atr_condition = atr_short_value < atr_long_value
volume_condition = vol > self._prev_volume1 and self._prev_volume1 > self._prev_volume2
self._prev_volume2 = self._prev_volume1
self._prev_volume1 = vol
if volume_condition and atr_condition and was_oversold and prev_close_change > float(self.distance) and self._bars_since_cross < 5 and self.Position <= 0:
self.BuyMarket()
def CreateClone(self):
return volume_value_when_velocity_strategy()