Forex Buy Sell Signal Neural Network Powered

DQN Multi-Forex M15 est un indicateur de trading basé sur un réseau neuronal pour MetaTrader 5, conçu pour analyser les conditions du marché sur plusieurs paires de devises majeures et afficher des signaux BUY et SELL directement sur le graphique.

L'indicateur utilise un modèle Deep Q-Network (DQN) entraîné individuellement sur chaque paire de devises avec des données historiques, afin d'évaluer le comportement du marché et sélectionner automatiquement la stratégie la plus adaptée.

Paires supportées

EURUSD GBPUSD GBPJPY USDJPY

Logique du modèle

Chaque modèle neuronal a été entraîné sur six stratégies de trading

Stratégie Trend : suivi de tendance basé sur la distance au SMA20
Stratégie Momentum : détection des impulsions avec ROC et MACD
Stratégie Multi-RSI : analyse croisée de RSI sur plusieurs périodes
Stratégie Breakout : cassures de Bollinger Bands et Donchian Channel
Stratégie Mean Reversion : retour à la moyenne sur zones extrêmes Etat
NoSignal : conditions de marché non favorables

Fonctionnement

Detection automatique : Identification de la paire et chargement du modele ONNX
Extraction des variables : Analyse de 23 indicateurs techniques
Analyse du marche : Evaluation sur une fenetre de 96 barres
Selection de strategie : Choix optimal avec niveau de confiance
Generation du signal : Affichage BUY ou SELL apres cloture de bougie

Caracteristiques techniques

Modele Deep Q-Network avec architecture 512, 256, 128, 6
Quatre modeles ONNX optimises pour chaque paire
Six strategies integrees dans l'apprentissage
23 indicateurs techniques analyses simultanement
Calibration complete des seuils par percentiles
Signaux BUY et SELL affiches sur le graphique
Pas de repaint apres confirmation du signal
Panneau d'information en temps reel

Filtres de session

L'indicateur integre un filtrage par sessions de trading GMT+2

Session Asie : 00h - 09h Session Europe : 09h - 18h Session New York : 15h - 24h

Les sessions peuvent etre activees ou desactivees individuellement.

Parametres recommandes

Symbole : EURUSD, GBPUSD, GBPJPY, USDJPY Timeframe : M15 

Avertissement

Le trading sur les marches financiers comporte des risques. Cet indicateur est un outil d'analyse destine a soutenir la prise de decision. Les performances passees ne garantissent pas les resultats futurs.


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FX Analysis is an all-in-one MT5 indicator dashboard that combines eight analytical tools in a single panel, helping traders identify high-probability setups without switching between charts or indicators. Designed for standard forex pairs on MetaTrader 5. Best results on M15 - H4 timeframes when all components are used together as part of the included workflow. Components Volatility Analyzer Displays historical average movement by hour and by day of the week. A real-time Pip Balance shows the
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DQN USDJPY est un indicateur de trading basé sur un réseau neuronal pour MetaTrader 5 conçu pour analyser les conditions du marché USDJPY et afficher des signaux BUY et SELL directement sur le graphique. L’indicateur utilise un modèle Deep Q-Network (DQN) entraîné sur des données historiques afin d’évaluer le comportement du marché et sélectionner automatiquement la stratégie la plus adaptée. Logique du modèle Le modèle neuronal a été entraîné sur six stratégies de trading représentant différent
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DQN Gold XAUUSD est un indicateur de trading basé sur un réseau neuronal pour MetaTrader 5 conçu pour analyser les conditions du marché de l’or (XAUUSD) et afficher des signaux BUY et SELL directement sur le graphique. L’indicateur utilise un modèle Deep Q-Network (DQN) entraîné sur des données historiques afin d’évaluer le comportement du marché et sélectionner automatiquement la stratégie la plus adaptée. Logique du modèle Le modèle neuronal a été entraîné sur six stratégies de trading corresp
PPO Trading V4 est un Expert Advisor pour MetaTrader 5 conçu pour analyser l’indice Dow Jones (US30) et exécuter des opérations à partir de signaux générés par un modèle d’apprentissage par renforcement. Le système combine des techniques de machine learning avec des indicateurs statistiques et économétriques afin d’évaluer les conditions du marché. La taille des positions est calculée automatiquement selon le solde du compte et les paramètres de gestion du risque. Logique du modèle Le modèle de
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