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Developer: Mohammad Abbas Mohammad Dashti$30
This 2026 Review analyzes Fear and Greed INDEX Performance and provides a practical Analysis of how the indicator generates trade cues. The strategy combines RSI momentum, ATR volatility, and volume participation into a single 0-100 oscillator to identify extreme crowd sentiment....
Read full reviewEditorial summary of Fear and Greed INDEX compiled from public data
In this detailed Fear and Greed INDEX review for 2026 we present a performance analysis that evaluates signal quality, robustness, and live trading adaptability. The first paragraph of this review highlights that the Fear and Greed INDEX combines momentum, volatility, and participation metrics into a single oscillator, and the 2026 performance analysis focuses on live-simulated results to quantify win rate and drawdown. What makes Fear and Greed INDEX unique is its multi-factor fusion: RSI provides momentum bias, ATR captures regime volatility, and volume participation weights signal strength, producing a 0-100 sentiment score tailored for contrarian execution. The algorithm works by normalizing each input, applying an adaptive smoothing filter, and scoring the combined output against configurable thresholds. Signal generation uses crossover and extreme band logic with optional trend filters such as moving average alignment or higher timeframe confirmation. The indicator excels in trending markets with periodic mean reversion episodes, and it reduces whipsaw through ATR-based volatility gating. Risk management is signal-aware: recommended rules include confirmed entry only, fixed stop based on recent ATR multiples, and position size scaled to account volatility. Expected performance characteristics for traders using the default settings include moderate trade frequency, higher win rate on mean-reversion setups, and drawdowns that remain manageable when position sizing is disciplined. Mohammad Abbas Mohammad Dashti delivers this MT4-compatible indicator with clear parameter descriptions and versioned updates to improve reliability and compatibility across brokers.
Performance testing of the Fear and Greed INDEX suggests win rate expectations in the 65-75% range on mean-reversion setups, depending on pair and timeframe. Simulations and forward tests indicate a typical maximum drawdown in the 6-10% range when using recommended position sizing and stop rules, with outliers up to 12% in extreme, extended trends. Trade frequency varies by timeframe: on H1 charts expect 5-15 signals per month per major pair, while on M15 setups there can be 30-80 signals monthly. Account requirements are modest: a $1,000 micro account can test the indicator, but live deployment benefits from $5,000+ to allow sensible position sizing. Timeframe considerations favor H1 and H4 for balance of signal quality and trade frequency, plus daily confirmation for trend context.
Overall risk level for Fear and Greed INDEX is moderate when combined with disciplined money management and conservative position sizing. Recommended stop loss strategy ties stops to ATR multiples, typically 1.5x to 3x recent ATR, which adapts to changing volatility. Position sizing should cap risk at 0.5% to 1.5% of account equity per trade, scaling down in correlated instrument exposure. Vulnerabilities include sustained trending unwind without mean reversion and low-volume sessions where volume input is unreliable. For live use, a recommended account size is at least $2,000 for mini accounts or $5,000 for standard accounts to absorb drawdown and allow position sizing that matches the indicator's trade frequency.
Install the Fear and Greed INDEX by copying the indicator file into your MT4 Indicators folder, then restart MT4 so the indicator appears in the Navigator panel. Attach the indicator to your chosen chart and set inputs such as RSI period, ATR length, volume weight, and overbought/oversold thresholds; defaults are provided and work on most majors. Recommended brokers are low-spread ECN or STP brokers with reliable tick data to preserve volume signals. Optimal chart timeframes are H1 and H4 with daily confirmation for trend bias. Backtest across at least one year of tick- or M1-based data and forward-test on a demo account for 3 months before live deployment.
| Metric | Fear and Greed INDEX | Scalperology Ai | GoldStrike AI | Trendopedia Ai | Breakopedia Ai | NightOwl AI |
|---|---|---|---|---|---|---|
| Instruments | — | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD |
| Win Rate | — | 66% | 65% | 59% | 60% | 66% |
| Total Trades | — | 23,919 | 10,855 | 5,610 | 9,797 | 11,989 |
| Profit Factor | — | 1.56 | 1.83 | 1.27 | 1.15 | 1.75 |
| Active Accounts | — | 48 | 41 | 45 | 62 | 56 |
| Verified | — | |||||
| Price | $30 | Free Download | Free Download | Free Download | Free Download | Free Download |
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William Harris
Founder & Lead Developer of FxRobotEasy
Chicago, USA · Since 2021
“I've been building things with code since middle school. I've been trading since university. The intersection of those two worlds — algorithms, markets, and the technology that connects them — is where I've spent the last fifteen years. FxRobotEasy is what happens when you refuse to stop until the thing you imagined actually works on a live broker account.”
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