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Market Reversal EngineMRE
Configurations de retournement en surachat et survente sur crypto, actions, indices et métaux, étiquetées par unité de temps et direction
Configurations de retournement en surachat et survente sur crypto, actions, indices et métaux, étiquetées par unité de temps et direction
The Market Reversal Engine detects potential tops and bottoms across crypto and traditional markets using composite overbought/oversold scoring from three independent engines - the Altcoin Market Scorecard (AMS) for breadth and on-chain conditions, the Multi-Timeframe Momentum Scorecard (MMS) for trend exhaustion, and the Global Liquidity Scorecard (GLS) for macro context.
The Market Reversal Engine (MRE) is a custom alerting system that detects potential market tops and bottoms across crypto and traditional markets. It combines three proprietary scoring engines - the Altcoin Market Scorecard (AMS), Multi-Timeframe Momentum Scorecard (MMS), and Global Liquidity Scorecard (GLS) - to generate overbought and oversold reversal signals with multi-signal confluence.
MRE covers major crypto assets including BTC, ETH, and SOL with multi-timeframe reversal detection, plus major stock indices and blue-chip stocks for traditional market reversals.
A reversal signal fires when multiple independent indicators align: extreme readings on AMS (altcoin breadth and on-chain metrics), MMS (multi-timeframe momentum), and GLS (global liquidity conditions). The confluence reduces false positives compared with any single-indicator approach. Each signal carries a confidence score reflecting the strength of the alignment.
MRE scoring updates on every supported timeframe close. New reversal signals are surfaced in the live feed within seconds of computation and delivered via email, Discord, and Telegram to subscribers.
Multi-signal confluence is the principle that combining several independent indicators - each measuring a different facet of market state - produces a higher signal-to-noise ratio than any individual indicator. MRE uses confluence between trend-momentum (MMS), breadth/on-chain (AMS), and macro-liquidity (GLS) to identify high-conviction reversal candidates.
Détecteur de divergences multi-temporel avec bandes RSI, extrêmes de Bollinger, climax de volume et rejet de niveau clé. Entrées encadrées avec stop et objectif préétablis. Étiquetez les configurations par classe et routez les survivantes vers le Universal Trading Engine.