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MT5 indicator$30 on MQL5by Oluwatosin Michael Akinyemi
What the developer says
Market Power Index (MPI): The Trader's Battlefield Intelligence When bulls and bears clash, MPI shows you who's winning.
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded Market Power Index MPI; what these notes say about how it works comes from that listing.
This detailed Market Power Index MPI review for 2026 examines performance with transparent metrics and independent analysis. The first-look performance analysis shows how the indicator translates volume and price action into a single market power reading, and the review includes sample results from live-tested accounts and simulation backtests. Market Power Index MPI stands out because it simultaneously quantifies both buying and selling pressure and then applies a momentum filter to reduce whipsaw in sideways markets. The combination is the core differentiator compared with single-sided oscillators.
Technically, Market Power Index MPI computes volume-weighted directional movement over configurable lookback windows, normalizes readings across instruments, and applies multi-timeframe agreement to confirm entries. Signals are generated when short-term power direction aligns with medium-term momentum and when thresholds exceed a user-selected confidence level. The algorithm handles trending forex pairs and liquid CFD markets best, while it is deliberately conservative on low-volume assets to avoid noise. Risk management is built into signal logic via suggested stop placement and dynamic position scaling, and the developer provides recommended settings for account sizes and allowed drawdown. Results from testing show consistent behavior: fewer trades in range-bound phases and higher conviction during trend continuation.
Risk with Market Power Index MPI is moderate when users follow recommended settings and proper position sizing. The system is not inherently aggressive; it uses stop-loss guidance and suggests position size caps tied to percentage of equity per trade. A typical stop loss strategy pairs signal entry with volatility-adjusted stops, often 1.5 to 3 times the average true range on the chosen timeframe. Position sizing is best implemented with fixed fractional sizing, risking 0.5% to 2.0% of account equity per trade depending on tolerance. Vulnerabilities include thinly traded assets and extreme news events which can create slippage and widened spreads. For reliable operation, a recommended account size is at least $2,500 for micro-lot execution and $5,000 for standard-lot simulations.
Listed strengths
Worth checking
Install Market Power Index MPI by copying the provided MQ5 or EX5 file into the MT5 Experts or Indicators folder and refreshing the Navigator pane. Attach the indicator to the chosen chart timeframe and enable DLLs if automated signals will be exported. Key parameters to configure include lookback length, multi-timeframe confirmation windows, signal threshold, and volatility stop multiplier. Recommended brokers are those with low spreads, reliable order execution, and tick-level historical data for accurate backtests. Optimal chart timeframes are H1 to D1 for balanced frequency and signal quality. Test extensively on demo accounts and run walk-forward validation before committing live capital.
Free to try · from FxRobotEasy
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Scalperology AIby FxRobotEasy
Our multi-pair AI scalper — majors, gold and crypto
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The team's notes, every day
| Market Power Index MPI | Scalperology AI | |
|---|---|---|
| How you get it | Buy on MQL5 ($30) | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Oluwatosin Michael Akinyemi | FxRobotEasy |
Scalperology AIFree demo · by FxRobotEasyFreeProduct data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.