Flawless Victory Strategy
Flawless Victory is a modular momentum system that blends oscillators with Bollinger Bands. Depending on the selected version it can operate with simple RSI signals, apply fixed take-profit and stop-loss targets, or demand confirmation from the Money Flow Index. The goal is to exploit exhaustion at the edges of volatility bands and ride mean-reversion swings.
Version 1 enters when RSI leaves oversold or overbought zones near the Bollinger extremes. Version 2 adds explicit risk control via percentage based targets. Version 3 requires both RSI and MFI to agree, filtering out weak reversals.
The strategy performs best on intraday markets with clear volatility boundaries.
Details
- Entry Criteria:
- Long: see version rules (RSI <30 near lower band; version 3 also
MFI < 20) - Short: RSI >70 near upper band (version 3 also
MFI > 80)
- Long: see version rules (RSI <30 near lower band; version 3 also
- Long/Short: Both sides
- Exit Criteria:
- Version 1: opposite RSI signal
- Version 2: take-profit or stop-loss percentages
- Version 3: opposite RSI/MFI combo
- Stops: Optional in version 2
- Default Values:
RSI_length= 14MFI_length= 14BBLength= 20BBMultiplier= 2.0TakeProfitPct= 1.5StopLossPct= 1.0
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: RSI, MFI, Bollinger Bands
- Stops: Optional
- Complexity: Medium
- Timeframe: Short-term
- Seasonality: No
- Neural networks: No
- Divergence: Yes
- Risk level: Medium
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Flawless Victory Strategy.
/// Uses Bollinger Bands and RSI for mean reversion trading.
/// Buys when price below lower BB with RSI oversold.
/// Sells when price above upper BB with RSI overbought.
/// </summary>
public class FlawlessVictoryStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleTypeParam;
private readonly StrategyParam<int> _bbLength;
private readonly StrategyParam<decimal> _bbWidth;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<int> _cooldownBars;
private BollingerBands _bollinger;
private RelativeStrengthIndex _rsi;
private int _cooldownRemaining;
public FlawlessVictoryStrategy()
{
_candleTypeParam = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General");
_bbLength = Param(nameof(BBLength), 20)
.SetGreaterThanZero()
.SetDisplay("BB Period", "Bollinger Bands period", "Bollinger Bands");
_bbWidth = Param(nameof(BBWidth), 1.5m)
.SetDisplay("BB Width", "Bollinger Bands standard deviation", "Bollinger Bands");
_rsiLength = Param(nameof(RSILength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "RSI");
_rsiOversold = Param(nameof(RSIOversold), 42m)
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI");
_rsiOverbought = Param(nameof(RSIOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
public DataType CandleType
{
get => _candleTypeParam.Value;
set => _candleTypeParam.Value = value;
}
public int BBLength
{
get => _bbLength.Value;
set => _bbLength.Value = value;
}
public decimal BBWidth
{
get => _bbWidth.Value;
set => _bbWidth.Value = value;
}
public int RSILength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
public decimal RSIOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
public decimal RSIOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_bollinger = null;
_rsi = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_bollinger = new BollingerBands
{
Length = BBLength,
Width = BBWidth
};
_rsi = new RelativeStrengthIndex { Length = RSILength };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_bollinger, _rsi, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _bollinger);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, IIndicatorValue bollingerValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_bollinger.IsFormed || !_rsi.IsFormed)
return;
var bb = (BollingerBandsValue)bollingerValue;
if (bb.UpBand is not decimal upper ||
bb.LowBand is not decimal lower ||
bb.MovingAverage is not decimal middle)
return;
if (rsiValue.IsEmpty)
return;
var rsi = rsiValue.ToDecimal();
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
return;
}
var close = candle.ClosePrice;
// Buy: price below lower BB with RSI oversold
if (close < lower && rsi < RSIOversold && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: price above upper BB with RSI overbought
else if (close > upper && rsi > RSIOverbought && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit long at middle band
else if (Position > 0 && close >= middle)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short at middle band
else if (Position < 0 && close <= middle)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
}
}
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
from StockSharp.Algo.Indicators import BollingerBands, RelativeStrengthIndex, IndicatorHelper
from StockSharp.Algo.Strategies import Strategy
class flawless_victory_strategy(Strategy):
"""Flawless Victory Strategy. Bollinger Bands + RSI mean reversion."""
def __init__(self):
super(flawless_victory_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General")
self._bb_length = self.Param("BBLength", 20) \
.SetDisplay("BB Period", "Bollinger Bands period", "Bollinger Bands")
self._bb_width = self.Param("BBWidth", 1.5) \
.SetDisplay("BB Width", "Bollinger Bands standard deviation", "Bollinger Bands")
self._rsi_length = self.Param("RSILength", 14) \
.SetDisplay("RSI Length", "RSI period", "RSI")
self._rsi_oversold = self.Param("RSIOversold", 42.0) \
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI")
self._rsi_overbought = self.Param("RSIOverbought", 70.0) \
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._bollinger = None
self._rsi = None
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(flawless_victory_strategy, self).OnReseted()
self._bollinger = None
self._rsi = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(flawless_victory_strategy, self).OnStarted2(time)
self._bollinger = BollingerBands()
self._bollinger.Length = int(self._bb_length.Value)
self._bollinger.Width = float(self._bb_width.Value)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._bollinger, self._rsi, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._bollinger)
self.DrawOwnTrades(area)
def _on_process(self, candle, bb_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self._bollinger.IsFormed or not self._rsi.IsFormed:
return
if bb_value.UpBand is None or bb_value.LowBand is None or bb_value.MovingAverage is None:
return
if rsi_value.IsEmpty:
return
rsi = float(IndicatorHelper.ToDecimal(rsi_value))
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
return
upper = float(bb_value.UpBand)
lower = float(bb_value.LowBand)
middle = float(bb_value.MovingAverage)
close = float(candle.ClosePrice)
cooldown = int(self._cooldown_bars.Value)
if close < lower and rsi < float(self._rsi_oversold.Value) and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif close > upper and rsi > float(self._rsi_overbought.Value) and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self.Position > 0 and close >= middle:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and close <= middle:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
def CreateClone(self):
return flawless_victory_strategy()