Rawstocks 15 Minute Model Strategy
Rawstocks 15 Minute Model uses swing order blocks and Fibonacci retracement levels to trade within a daily session.
How it works
- Detects swing highs and lows with an ATR filter.
- Builds bullish and bearish order blocks and computes 61.8% and 79% Fibonacci levels.
- Enters long when price touches a bullish order block and closes above a Fibonacci level before the entry cutoff time.
- Enters short when price tests a bearish order block and closes below a Fibonacci level.
- Closes all positions at 16:30 ET.
Parameters
- Start Hour
- Start Minute
- Last Entry Hour
- Last Entry Minute
- Force Close Hour
- Force Close Minute
- Fib Level (%)
- Min Swing Size (%)
- Risk/Reward
Indicators
- Average True Range
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>
/// Rawstocks 15 minute model strategy using EMA crossover.
/// </summary>
public class Rawstocks15MinuteModelStrategy : Strategy
{
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public Rawstocks15MinuteModelStrategy()
{
_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()
=> [(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, DateTimeOffset
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class rawstocks_15_minute_model_strategy(Strategy):
def __init__(self):
super(rawstocks_15_minute_model_strategy, self).__init__()
self._slow_length = self.Param("SlowLength", 40) .SetDisplay("Slow Length", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) .SetDisplay("Candle Type", "Candle type", "General")
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal = DateTimeOffset.MinValue
self._cooldown = TimeSpan.FromMinutes(360)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rawstocks_15_minute_model_strategy, self).OnReseted()
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal = DateTimeOffset.MinValue
def OnStarted2(self, time):
super(rawstocks_15_minute_model_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = 14
slow = ExponentialMovingAverage()
slow.Length = self._slow_length.Value
self._fast_ind = fast
self._slow_ind = slow
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _process_candle(self, candle, f, s):
if candle.State != CandleStates.Finished:
return
if not self._fast_ind.IsFormed or not self._slow_ind.IsFormed:
return
fv = float(f)
sv = float(s)
if not self._init:
self._prev_f = fv
self._prev_s = sv
self._init = True
return
if self._last_signal == DateTimeOffset.MinValue or candle.OpenTime.Subtract(self._last_signal) >= self._cooldown:
if self._prev_f <= self._prev_s and fv > sv and self.Position <= 0:
self.BuyMarket()
self._last_signal = candle.OpenTime
elif self._prev_f >= self._prev_s and fv < sv and self.Position >= 0:
self.SellMarket()
self._last_signal = candle.OpenTime
self._prev_f = fv
self._prev_s = sv
def CreateClone(self):
return rawstocks_15_minute_model_strategy()