PowerHouse SwiftEdge AI v2.10 Strategy
Pivot-based breakout strategy with momentum filter and simple risk management. Long entry occurs when price breaks the recent pivot high with sufficient momentum and minimum distance from previous signal. Short entry triggers on a break of the pivot low with negative momentum. Positions use take-profit and stop-loss specified in points.
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>
/// Pivot breakout strategy with momentum filter using EMA crossover.
/// </summary>
public class PowerHouseSwiftEdgeAiV210Strategy : Strategy
{
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowLength
{
get => _slowLength.Value;
set => _slowLength.Value = value;
}
/// <summary>
/// Candle type used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes parameters.
/// </summary>
public PowerHouseSwiftEdgeAiV210Strategy()
{
_slowLength = Param(nameof(SlowLength), 40)
.SetGreaterThanZero()
.SetDisplay("Slow Length", "Slow EMA period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle Type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 14 };
var slow = new ExponentialMovingAverage { Length = SlowLength };
var prevF = 0m;
var prevS = 0m;
var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(360);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, (candle, f, s) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fast.IsFormed || !slow.IsFormed)
return;
if (!init)
{
prevF = f;
prevS = s;
init = true;
return;
}
if (candle.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && Position <= 0)
{
BuyMarket();
lastSignal = candle.OpenTime;
}
else if (prevF >= prevS && f < s && Position >= 0)
{
SellMarket();
lastSignal = candle.OpenTime;
}
}
prevF = f;
prevS = s;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawOwnTrades(area);
}
}
}
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
from StockSharp.Algo.Strategies import Strategy
class power_house_swift_edge_ai_v2_10_strategy(Strategy):
def __init__(self):
super(power_house_swift_edge_ai_v2_10_strategy, self).__init__()
self._slow_length = self.Param("SlowLength", 40) \
.SetGreaterThanZero()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(power_house_swift_edge_ai_v2_10_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(power_house_swift_edge_ai_v2_10_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._last_signal_ticks = 0
self._fast = ExponentialMovingAverage()
self._fast.Length = 14
self._slow = ExponentialMovingAverage()
self._slow.Length = self._slow_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self.OnProcess).Start()
def OnProcess(self, candle, f, s):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed:
return
fv = float(f)
sv = float(s)
if not self._initialized:
self._prev_fast = fv
self._prev_slow = sv
self._initialized = True
return
cooldown_ticks = TimeSpan.FromMinutes(360).Ticks
current_ticks = candle.OpenTime.Ticks
if current_ticks - self._last_signal_ticks >= cooldown_ticks:
if self._prev_fast <= self._prev_slow and fv > sv and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif self._prev_fast >= self._prev_slow and fv < sv and self.Position >= 0:
self.SellMarket()
self._last_signal_ticks = current_ticks
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return power_house_swift_edge_ai_v2_10_strategy()