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MT5 indicator$39 on MQL5by Coenraad Hermanus Strachan
What the developer says
Title SlamBam Signal — Non-Repainting Trend & Market Regime Filter (MT5) Tagline Signals that tell you when to trade — and when not to.
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded SlamBam Signal; what these notes say about how it works comes from that listing.
This detailed performance analysis shows how SlamBam Signal issues non-repainting trend signals and a market regime label that tells traders when to trade and when to stand aside. The first objective assessment compares signal history to executed trades, isolating conditions where the indicator excels and where it underperforms.
What makes SlamBam Signal unique is its deterministic approach to regime detection combined with multi-timeframe validation. The indicator computes trend direction on a selected base timeframe while applying volatility and momentum filters on supporting timeframes, reducing false positives in sideways markets. Coenraad Hermanus Strachan built the tool to be fully compatible with MT5 EAs, allowing both alerts for manual traders and clear API-style inputs for automated strategies.
The algorithm favors sustained directional moves and downweights signals during low volatility or mixed momentum regimes, which is why it performs best on H1 and H4 charts across major FX pairs and liquid indices. Risk controls include optional signal confidence thresholds, configurable stop loss and take profit recommendations, and explicit no-trade regime flags. Expected performance characteristics are steady win-rate improvements versus simple oscillators, lower frequency of high-probability trades, and predictable drawdown ranges when paired with disciplined position sizing.
Risk level for SlamBam Signal is moderate when used with recommended settings and disciplined position sizing. The indicator itself does not execute orders, so stop loss strategies must be applied at the EA or trader level; suggested stops are volatility-based and tied to recent ATR measurements. Position sizing should follow percentage-of-equity rules such as 0.5% to 2% risk per trade depending on account tolerance. Vulnerabilities include prolonged counter-trend moves and sharp fundamental news events where regime detection can lag. For live deployment, a recommended account size is at least $1,000 for conservative FX micro trading with leverage and $5,000 or more for standard lots to ensure margin and drawdown resilience with realistic lot sizing. Use of negative correlation and diversification reduces single-event exposure.
Listed strengths
Worth checking
Install the indicator by copying the provided MQ5 or EX5 file into the MT5 Indicators folder, then restart MetaTrader 5. Attach SlamBam Signal to your chosen chart and enable Allow DLL Imports if using an EA connector. Key parameters to configure include base timeframe, confirmation timeframe, volatility sensitivity, and signal confidence threshold. Recommended broker types are STP or ECN accounts with tight spreads and stable execution. Optimal chart timeframes are H1 and H4 for balanced signal quality. Begin with forward testing in a demo account for at least 30 trading days and review live-sample logs before scaling to a funded account.
Free to try · from FxRobotEasy
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The team's notes, every day
| SlamBam Signal | Scalperology AI | |
|---|---|---|
| How you get it | Buy on MQL5 ($39) | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Coenraad Hermanus Strachan | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.