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Rated 4.9 out of 5 by over 1200+ Traders

RelicusRoad - #1 Best-Selling MQL5.com Indicator for 3 Years

Your Charts Are Lying. Let's Fix That.

Simple. Precise. Powerful.

Crush the markets with pinpoint entries/exits – 10x faster than manual analysis.
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SR Order Blocks

Identify high-probability trading zones based on historical price behavior. Our battle-tested algorithm analyzes past market reactions to identify key levels where price has consistently reversed, providing reliable reference points for your trading decisions.

Key Resistance Zones

Clearly marked red zones where price has repeatedly reversed in the past, providing data-backed selling opportunities based on established market behavior.

Verified Support Areas

Automatically identified green zones where price has consistently bounced, giving you confidence in buying decisions based on past market reactions.

Smart Zone Classification

Distinguishes between frequently tested and newly formed levels, helping you evaluate the strength of each zone based on its significance.

Support & Resistance Indicator

Supply Zone

Validated resistance level

Demand Zone

Confirmed support level

Action Levels

Unlike traditional support/resistance which analyzes past data, our AI-driven Action Levels are forward-looking indicators that anticipate market reactions. By identifying reactive price levels based on emerging market patterns, Action Levels provide traders with a predictive edge for more confident decision-making.

Chart demonstrating RelicusRoad Action Levels with supply and demand zones

Predictive Supply Level

Forward-looking supply zone based on market patterns

Predictive Demand Level

Forward-looking demand zone based on emerging patterns

Predictive AI Analysis

Unlike lagging indicators, our algorithms anticipate future market reactions by identifying emerging patterns before they fully develop

Leading Market Indicators

Move beyond historical support/resistance to anticipate future reactive price levels where market behavior is likely to change

Multi-Timeframe Prediction

Forward-looking action levels dynamically adjust across timeframes to provide consistent predictive signals