Invictus
cBot
Tested on IC
Version 1.0, May 2026
Windows, Mac, Mobile, Web
1.2
Profit factor
46%
Max drawdown
Trading product for Invictus cBot Fixed Lot Market Structure, image 2
Trading product for Invictus cBot Fixed Lot Market Structure, image 3
Trading product for Invictus cBot Fixed Lot Market Structure, image 4
Since 14/01/2025
1
Sales
83
Free installs

Description

INVICTUS - ADAPTIVE MARKET STRUCTURE INTELLIGENCE


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15-YEAR HISTORICAL BACKTESTING (2011-2026)

87,385 trades executed across 22 pairs, 4 major timeframes and multiple market conditions and major historical volatility events.


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VERIFIED PERFORMANCE SUMMARY


- ROI: +19,146% (15-year testing period)

- Win Rate: 93.13% (81,387 wins / 5,998 losses)

- Total Trades: 87,385

- Profit Factor: 1.2

- 22 pairs across 4 timeframes

- Maximum Historical Drawdown: 73%

- Tested Through: SNB 2015 | Brexit 2016 | COVID 2020


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WHAT MAKES INVICTUS DIFFERENT


- 9-layer structural validation engine

- Structural participation validation

- Adaptive volatility protection engine

- Market participation density analysis

- Multi-timeframe momentum and confluence analysis

- Pattern deduplication engine

- Optimized multi-symbol processing architecture

- Optimized pattern recognition with strict geometric validation


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STRATEGY OVERVIEW


Invictus is an Adaptive Market Structure Intelligence Engine - not a simple pattern trading bot.


Before executing a single trade, the system validates: structure, participation density, volatility conditions, momentum alignment, and multi-timeframe confluence across 9 independent validation layers.


If price doesn't fight - no trade.


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STRUCTURAL PARTICIPATION VALIDATION


Invictus does not blindly trade support and resistance levels.


The system first validates whether meaningful market interaction has historically occurred at the zone.


This includes:

- Engulfing activity

- Opposing directional pressure

- Long wick rejection behavior

- Swing clustering and density

- Structural reaction consistency


Weak or inactive zones are automatically filtered out before execution occurs.


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ADAPTIVE VOLATILITY PROTECTION


One of the system's core protection layers is its adaptive volatility management engine.


The bot continuously evaluates market expansion conditions and can automatically block entries during news and unstable volatility environments.


This helps reduce participation during: abnormal market spikes, spread expansion, chaotic price behavior, and low-quality trading conditions.


Included protections:

- ATR-based volatility filtering

- Volatility-aware stop logic

- Spread protection filter

- Configurable equity drawdown protection

- Friday and month-end close options


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9-STAGE VALIDATION FRAMEWORK


Layer 1: Structural Participation Validation

Layer 2: Market Participation Density Analysis

Layer 3: Adaptive Volatility Protection

Layer 4: Multi-Stage Pattern Geometry Validation

Layer 5: Multi-Timeframe Confluence Analysis

Layer 6: Pattern Deduplication Engine

Layer 7: Dynamic Risk Protection

Layer 8: Optimized Processing Architecture

Layer 9: Audit-Ready Validation Logging


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KEY FEATURES


- Multi-symbol trading support

- Multi-timeframe execution intelligence

- Automatic timeframe adaptation

- Equity-based or fixed lot sizing

- ATR / Fixed / Pattern-based stop loss modes

- Configurable take profit modes

- Dynamic trailing stop management

- MA trend filtering (optional)

- MTF RSI blocker and agreement filters

- Hidden divergence detection (RSI + MACD)

- Multi-pattern structure recognition

- Wedge, channel and expansion pattern detection

- Lifetime updates included


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PERFORMANCE AND OPTIMIZATION


Invictus was engineered for scalable long-term deployment.


Optimization features include:

- Incremental bar processing

- Cached structural calculations

- Memory optimization routines

- Pattern deduplication logic

- Low-overhead execution architecture

- Back test visualization controls


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TRANSPARENCY AND VALIDATION


- Demonstration and live back testing available upon request

- Every rejection and validation layer logged

- No hidden execution logic

- Audit-ready validation statistics

- Developer support included


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RISK DISCLOSURE


Past performance from historical testing (2011-2026) does not guarantee future results.


The maximum historical drawdown occurred during the March 2020 COVID volatility event.


Built-in equity protection is fully configurable (default: 20 percent).


Trading involves substantial risk. Forward testing on a demo account is strongly recommended before live deployment.


--------------------------------------------------


SUPPORT


Active support and lifetime updates included with purchase.


FOR MORE INFORMATION - Click "Developer's Profile" below.

Summary

AI summary
Invictus is an adaptive market structure intelligence trading bot designed for day trading across 22 currency pairs. It operates on multiple timeframes with a medium trade frequency, leveraging a 9-layer validation framework to ensure trade quality. Key validation layers include structural participation, market participation density, adaptive volatility protection, multi-stage pattern geometry, multi-timeframe confluence, and dynamic risk protection.
The system employs advanced pattern recognition with strict geometric validation, detecting classical patterns such as wedges and channels. It integrates volatility-based risk management tools including ATR-based filtering, spread protection, configurable equity drawdown limits, and adaptive stop-loss and take-profit modes. Position sizing supports fixed lot and equity-based methods, with dynamic trailing stop management and optional trend filtering via moving averages and RSI/MACD divergence detection.
Backtested over 15 years (2011–2026), Invictus executed 87,385 trades with a 93.13% win rate and a profit factor of 1.2, achieving a historical ROI of approximately +19,146%. It has been tested through major volatility events including the 2015 SNB shock, 2016 Brexit, and 2020 COVID crisis. The bot features optimized processing architecture for scalable deployment and audit-ready validation logging for transparency. Recommended minimum balance is $500 with a risk per trade of 1%.
Trading profile
Trading style
Day trading
Strategy type
Mean reversion
Analysis type
Algorithmic
Technical
Trade frequency
Medium
Min recommended balance
$500
Risk per trade
1%
Chart period
1 hour
Backtesting leverage
1:200
Risk management
Risk model
Fixed lot
Volatility-based
Equity-based
Supported order types
Market
Supported risk controls
Max drawdown limit
Spread filter
Stop loss
Take profit
Trailing stop loss
News filter

Customer reviews

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Discussion

FAQ

Fixed Lot
Market Structure
Channel
Trailing Stop
ATR
Max Drawdown Guard
Wedge
Products available through cTrader Store, including trading bots, indicators and plugins, are provided by third-party developers and made available for informational and technical access purposes only. cTrader Store is not a broker and does not provide investment advice, personal recommendations or any guarantee of future performance.

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Price

Since 14/01/2025
1
Sales
83
Free installs