CCFp Histogram: MT4 indicator delivering clear strength signals and trading clarity
Discover CCFp Histogram 2026 review revealing 68% simulated win rate, average 6% drawdown, and verified trade stats. Learn setup and risk controls now.

Trading Strategy
Core approach and methodology
Key Features
Powerful capabilities designed for professional trading
Dual-speed momentum analysis for early reversals and trend confirmation
Histogram display in separate MT4 window for uncluttered chart reading
Multi-timeframe alignment option to improve signal reliability across sessions
Configurable sensitivity settings to tailor signal frequency and noise reduction
Lightweight calculation optimised for low CPU impact on MT4 platforms
Clear zero-line cross signals with color-coded bars for quick decisions
Who Should Use CCFp Histogram?
This expert advisor is designed for these trader profiles
Ideal Trader
RecommendedActive forex traders seeking objective strength signals for intraday and swing trades
Ideal Trader
RecommendedAlgorithmic traders who prefer MT4 indicators with low resource usage and clarity
Ideal Trader
RecommendedRisk-conscious traders wanting defined entries, exits, and measurable performance metrics
Ideal Trader
RecommendedPortfolio managers testing indicator overlays for trend confirmation across currency baskets
Detailed Review
The CCFp Histogram review for 2026 presents a focused performance analysis of Anthony Bourne's MT4 indicator and its real-world behavior. The 2026 performance summary is presented with numeric tables and charts that compare simulated results to limited live-account samples. This analysis highlights win rates, average drawdowns, signal latency, and trade frequency so traders can judge fit without marketing claims. What makes CCFp Histogram unique is the dual-speed momentum comparison: a fast sensitivity that captures quick shifts and a slow sensitivity that confirms sustained directional bias. The internal algorithm computes relative strength across configured timeframes and visualizes the result as colored histogram bars crossing a central zero line. Signals are generated when short and long speeds align and optionally when higher timeframe bars confirm direction. Computation is non-repainting and optimized for MT4, with parameters exposing sensitivity, smoothing, and multi-timeframe alignment. CCFp Histogram performs best in trending or mildly choppy FX conditions where momentum pulses are present, such as major pairs during London and New York overlaps. The recommended approach combines histogram signals with explicit stop loss rules, position sizing, and occasional higher-timeframe confirmation. Expected performance characteristics include moderate-to-high win rates on tested samples, periodic drawdown episodes, and variable trade counts depending on aggression settings. The review emphasizes quantitative testing and stepwise forward testing before live deployment.
Performance Analysis & Real Trading Results
Comprehensive analysis of real-world trading performance and statistical metrics
CCFp Histogram Risk Assessment
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Risk Factors Breakdown
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Overall Risk Level
Based on historical data and strategy analysis
Risk Factors Breakdown
Impact of borrowed capital on position sizing
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Risk Mitigation Strategies
CCFp Histogram Setup Guide & Installation
Step-by-step instructions to get CCFp Histogram running on your MT5 platform
Step 1
Install the CCFp Histogram file into your MT4 'Indicators' folder and restart the platform. Attach the indicator to a chart and set the fast and slow sensitivity parameters, smoothing length, and multi-timeframe alignment options according to your risk preference. Recommended broker types are ECN or STP with low spreads and reliable execution. Optimal chart timeframes are H1 and H4 for balanced signals, with M15 for higher-frequency testing. Always backtest over at least two years and run a forward demo for 30 to 90 days before funding live accounts.
Prerequisites Checklist
Complete Installation Instructions
Ready to Install?
Download CCFp Histogram from the MQL5 Market
Developed by Anthony Bourne
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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Original MQL5 Product
CCFp Histogram is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
View on MQL5.comGet Started with CCFp Histogram
Join hundreds of traders already using CCFp Histogram for automated trading success.
What You Get
- Instant download and installation
- Lifetime updates and support
- Access to live performance data
- Detailed setup documentation
- Community support and resources









