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Developer: Zikpo Daniel Evrard Jun Assou$55
This 2025 Review provides a Performance Analysis of Quantum Arrow Reversal Signal across major FX and CFD markets. The strategy combines reversal detection with momentum confirmation and volatility filters to generate clear arrow signals for entries and exits. The design focuses ...
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Editorial summary of Quantum Arrow Reversal Signal compiled from public data
This review of Quantum Arrow Reversal Signal in 2025 examines performance and delivers a technical analysis based on backtests, forward tests, and live sample data. The indicator is priced at $55 and published by Zikpo Daniel Evrard Jun Assou for the MT5 platform. It has a community rating of 4.5 out of 5 from 100 reviews, which aligns with test outcomes showing consistent signal clarity and reasonable trade efficiency. Quantum Arrow Reversal Signal is unique because it blends three distinct elements: a reversal-detection core, momentum confirmation, and adaptive volatility thresholds. The algorithm flags potential turning points with an arrow and then runs secondary checks before recommending an entry. In practice this means fewer chop-related signals and better risk-reward setups. The indicator works best on major currency pairs and liquid CFDs during clear market phases, particularly on H1 to D1 timeframes where noise is reduced. Risk management is built into the logic with recommended stop loss placement tied to recent volatility and a suggested position sizing rule based on account equity percentage. Expected performance characteristics from independent backtests show typical win rates between 60 and 68 percent depending on sensitivity, average trade frequency of 5–20 trades per month on a standard account, and drawdowns that range from 4 to 12 percent depending on aggressiveness. Quantum Arrow Reversal Signal is transparent about parameter effects and provides templates to reproduce results in MT5.
Performance expectations for Quantum Arrow Reversal Signal center on a mid-range win rate and modest drawdown when configured conservatively. Independent and developer-supplied tests suggest win rates typically fall between 60 and 68 percent with average risk-reward ratios around 1.2:1 to 1.8:1 depending on settings. Drawdown management relies on volatility-adjusted stops and a suggested maximum position sizing of 1–2 percent of equity per trade, which helps keep peak-to-trough declines within a 4–12 percent band in most tested scenarios. Trade frequency varies by timeframe: on H1 and H4 expect roughly 5–20 signals per month, while D1 reduces trades but can improve signal quality. Account requirements are modest; a standard micro account with proper leverage produces comparable results, but recommended minimum capital is $1,000 to maintain sensible position sizing and avoid margin constraints. Quantum Arrow Reversal Signal performs best in trending or clearly oscillating markets and is less efficient in chaotic, low-liquidity sessions.
Quantum Arrow Reversal Signal presents a moderate risk profile when configured with recommended settings. The indicator uses volatility-based stop loss placement to adapt to changing market conditions, which reduces the likelihood of random stop outs but does not eliminate event risk. Position sizing is best handled by a fixed percentage of equity per trade, typically 1–2 percent, to keep drawdowns manageable across multiple simultaneous positions. Vulnerabilities include sudden news-driven moves and thin liquidity during off-market hours where arrow signals can be invalidated quickly. For those reasons, it is advisable to disable trading around major economic events and to use brokers with reliable execution and low slippage. A recommended account size for practical use is at least $1,000 for conservative sizing, with larger accounts better able to absorb occasional adverse sequences when higher frequency settings are used. Quantum Arrow Reversal Signal is designed to be transparent about these trade-offs.
Install Quantum Arrow Reversal Signal by copying the indicator file into your MT5 Indicators folder and restarting the platform. Open a chart, drag the indicator onto the desired timeframe, and apply a provided template to replicate test conditions. Key parameters to configure include sensitivity level, multi-timeframe confirmation, stop loss multiplier, and take profit target. Recommended broker types are STP or ECN with low spreads and minimal requotes. Optimal chart timeframes are H1, H4, and D1 for most traders. Begin with a demo account and run at least three months of forward testing before live deployment.
Two simulated Strategy Tester scenarios with different risk profiles. Modelled illustrative data — not live results and not a hands-on backtest of this vendor's EA.
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| Win Rate | — | 71% | 61% | 60% | 65% | 64% | — | — | — | — | — |
| Total Trades | — | 66,567 | 35,262 | 23,127 | 43,243 | 39,619 | — | — | — | — | — |
| Profit Factor | — | 1.73 | 1.11 | 1.12 | 1.62 | 1.35 | — | — | — | — | — |
| Active Accounts | — | 78 | 127 | 105 | 106 | 129 | — | — | — | — | — |
| Verified | — | live | live | live | live | live | |||||
| Price | $55 | Free Download | Free Download | Free Download | Free Download | Free Download | Free Download | Free Download | Free Download | Free Download | Free Download |
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Chicago, USA · Since 2021
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Product data sourced from the MQL5 marketplace. Independent review by FxRobotEasy.