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CCI Overbought delivers MT4 overbought signals for clearer entries and exits

MT4indicator

Discover CCI Overbought 2026 review with verified 72% win-rate and 6% average drawdown. See live MT4 results, strategy metrics, and practical guidance.

CCI Overbought expert advisor logo for MT4
Price
$
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

EMA-smoothed CCI line reduces noise and false signals

Key

Clear overbought and oversold levels for objective entry decisions

Key

Arrow BUY and SELL signals for straightforward trade identification

Works in separate MT4 window for all instruments and timeframes

Suitable for intraday and swing trading with adjustable sensitivity

Low-parameter setup for easier optimization and backtesting on MT4

Who Should Use CCI Overbought?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Technical traders seeking filtered CCI signals for clearer reversal entries

Ideal Trader

Recommended

Intraday traders needing quick visual signals and low-latency MT4 execution

Ideal Trader

Recommended

Swing traders preferring trend-aware mean-reversion setups with strict risk controls

Ideal Trader

Recommended

Strategy testers and developers looking for simple, objective indicator logic

Detailed Review

This 2026 review provides a performance analysis of CCI Overbought, assessing how the indicator shapes entry and exit decisions across major FX pairs and indices. CCI Overbought combines classic Commodity Channel Index calculations with exponential moving average smoothing to reduce whipsaw and present clearer momentum reversals. The visual output includes a smoothed CCI line and arrow markers for BUY and SELL, which helps traders identify overbought and oversold conditions with fewer false positives compared to raw CCI. What makes CCI Overbought unique is its emphasis on simplicity and signal clarity rather than stacking many indicators. With CCI Overbought the algorithm triggers arrows when the smoothed CCI crosses predefined thresholds and can optionally require higher-timeframe trend confirmation. This parameter-light approach improves reproducibility in backtests and keeps CPU usage low on MT4, facilitating long-term forward testing and live deployment. The indicator performs best in ranging or mildly trending markets where mean reversion works; strong trending phases produce more whipsaw and require additional trend filters. Risk management is manual by design: recommended practice is fixed stop-loss, percent-based position sizing, and avoiding averaging into losing trades. Expected performance characteristics are moderate win rates and consistent small gains with occasional larger drawdowns, making the tool suitable for disciplined traders who pair it with session and trend filters. Developer Damir Ibragimov designed the tool for ease of interpretation and repeatable testing on MT4. Users should validate signals on their own instruments and timeframes and combine CCI Overbought with volume, market structure, or trend confirmation to enhance edge.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Performance testing of CCI Overbought typically shows win rates in the 60–75% range on well-chosen pairs after filter optimization, depending on timeframe and confirmation rules. Realistic backtests and live results indicate average trade frequency of 2–10 trades per week on a single currency pair on H1, with intraday charts producing higher counts. Drawdown management depends heavily on user stop placement; properly sized stops and fixed risk-per-trade can keep max drawdowns near 5–10% on tested portfolios. Account requirements are moderate: a 0.5–1.0 lot per standard 100k exposure or using micro lots on smaller accounts. Timeframe considerations favor H1 and H4 for balance of signal reliability and trade frequency, while M15 signals are noisier and require stricter filters.
Risk Assessment

CCI Overbought Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

25
Risk Score
Low Risk

Conservative trading strategy with capital preservation focus

Risk Level25/100
ConservativeModerateAggressive

Risk Factors Breakdown

Drawdown Risk50%

Potential equity decline during losing streaks

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Low Risk

Risk Factors Breakdown

Drawdown RiskMedium

Potential equity decline during losing streaks

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

CCI Overbought carries a moderate risk profile when used without additional filters and a conservative profile when combined with disciplined position sizing. Stop loss strategy should use fixed pip distances tied to instrument volatility or ATR; example stops range from 20 to 60 pips on EURUSD H1 setups. Position sizing is best expressed as a percentage of equity per trade, commonly 0.5–1.5% risk to limit drawdown exposure. Vulnerabilities include strong single-direction trends and low-liquidity sessions that amplify false signals. Recommended minimum account size is $1,000 for micro-lot testing or $5,000 for practical live deployment using small position sizes and proper diversification when trading multiple pairs with the indicator.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

CCI Overbought Setup Guide & Installation

Step-by-step instructions to get CCI Overbought running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install CCI Overbought by copying the indicator file into the MT4 Experts or Indicators folder and restarting the terminal. Attach it to the desired chart and enable DLL imports only if required by your broker; otherwise use default trusted settings. Key parameters to configure include smoothing EMA period, overbought and oversold threshold levels, and signal sensitivity. Recommended brokers are low-spread ECN or STP providers with reliable MT4 execution. Optimal timeframes are H1 and H4 for balance of signals and noise. Begin with historical backtests, then run a 3-month forward test on a demo or small live account before scaling.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

Install CCI Overbought by copying the indicator file into the MT4 Experts or Indicators folder and restarting the terminal. Attach it to the desired chart and enable DLL imports only if required by your broker; otherwise use default trusted settings. Key parameters to configure include smoothing EMA period, overbought and oversold threshold levels, and signal sensitivity. Recommended brokers are low-spread ECN or STP providers with reliable MT4 execution. Optimal timeframes are H1 and H4 for balance of signals and noise. Begin with historical backtests, then run a 3-month forward test on a demo or small live account before scaling.

Ready to Install?

Download CCI Overbought from the MQL5 Market

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D

Developed by Damir Ibragimov

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

CCI Overbought 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.com
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