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MetaForecast M5

5

MetaForecast prédit et visualise l'avenir de n'importe quel marché en se basant sur les harmoniques des données de prix. Bien que le marché ne soit pas toujours prévisible, s'il y a un motif dans les prix, MetaForecast peut prédire l'avenir aussi précisément que possible. Comparé à d'autres produits similaires, MetaForecast peut générer des résultats plus précis en analysant les tendances du marché.


Paramètres d'entrée

Past size (Taille passée)

Spécifie le nombre de barres que MetaForecast utilise pour créer un modèle de génération de prédictions futures. Le modèle est représenté par une ligne jaune tracée sur les barres sélectionnées.

Future size (Taille future)

Spécifie le nombre de barres futures qui doivent être prédites. Le futur prédit est représenté par une ligne rose avec des lignes de régression bleues dessinées par-dessus.

Degree (Degré)

Cette entrée détermine le niveau d'analyse que MetaForecast effectuera sur le marché.

Degree Description
 0 Pour le degré 0, il est recommandé d'utiliser une valeur élevée pour l'entrée "Past size" afin de couvrir tous les sommets, les creux et les détails des prix.
 1 (recommandé) Pour le degré 1, MetaForecast peut comprendre les tendances et générer de meilleurs résultats avec une "Past size" plus petite.
 2 Pour le degré 2, en plus des tendances, MetaForecast peut également identifier les points de retournement. Pour des degrés supérieurs à 1, des valeurs plus élevées pour les entrées 'Details' et 'Noise Reduction' doivent être utilisées.
 Supérieur à 2 Il n'est pas recommandé d'utiliser des degrés supérieurs à 2, mais cela peut être essayé.
Plusieurs instances de MetaForecast avec différents degrés peuvent être utilisées pour confirmer les prédictions. Par exemple, une instance avec PastSize=5000 et Degree=0 et une autre instance avec PastSize=600 et Degree=1 peuvent être utilisées ensemble.

Details (Détails)

Spécifie le pourcentage de détails dans les données de prix qui doit être extrait pour générer des prédictions. Des valeurs plus élevées nécessitent un temps de traitement plus long.

Noise Reduction (Réduction du bruit)

Lors de l'utilisation de degrés supérieurs à 1, MetaForecast a besoin de la réduction du bruit pour les données d'entrée afin de créer un modèle approprié. Par exemple, pour un degré=2, définissez la réduction du bruit à 90%. Pour obtenir un meilleur résultat, augmentez les détails à 20%.

Remove jumps (Supprimer les sauts)

Parfois, il y a de grands sauts dans les résultats de la prédiction, en particulier pour les degrés supérieurs à 1. Activer cette entrée peut corriger la forme de la prédiction.

Regression lines (Lignes de régression)

MetaForecast dessine des lignes de régression sur les barres prédites pour rendre la tendance plus claire. Utilisez cette entrée pour spécifier le nombre de lignes.

Calculate per n bars (Calculer tous les n barres)

Définissez l'intervalle entre deux prédictions à l'aide de cette entrée. Par exemple, si vous le réglez sur 100, cela signifie qu'il prédit l'avenir, puis fait une pause pendant 100 barres avant de faire la prochaine prédiction.

MetaForecast permet aux traders de prédire les mouvements futurs des prix dans l'historique des prix, ce qui leur permet de comparer les résultats avec les prix futurs réels. Pour utiliser cette fonctionnalité, appuyez sur "H" de votre clavier pour afficher la ligne verticale, que vous pouvez déplacer pour ramener la prédiction dans les prix historiques, plutôt que la bougie actuelle. Pour naviguer dans l'historique, maintenez la touche "Ctrl" enfoncée et déplacez votre souris pour déplacer la ligne verticale. Pour revenir à la bougie actuelle, appuyez à nouveau sur "H". Si vous avez plusieurs MetaForecasts sur votre graphique et que vous avez besoin de les réinitialiser simultanément, appuyez sur la touche "R" de votre clavier.

J'explore toujours de nouvelles idées pour prévoir l'avenir du marché. Chaque fois que je découvre une nouvelle méthode de travail ou un nouvel algorithme efficace, je l'incorpore dans le produit. J'apprécierais votre soutien pour me permettre de continuer à développer cette offre unique.

Avis 4
Leon Hans Morten Voige
421
Leon Hans Morten Voige 2023.08.09 18:14 
 

I absolutely love it. You don't need to waste your time searching out all the support and resistance levels. For me it is very very lucrative trading the 1 hr timeframe with this indicator. Especially on pairs that are more trendy. Even BTC trading is easily possible with this indicator. Absolutely great!

31416
483
31416 2023.04.10 11:18 
 

So far it looks intuitive. I will try to update while gaining confidence and expertise with it. Thanks.

Update after a month using it: confirmed. Very useful.

Rutt Tungkiratichai
1789
Rutt Tungkiratichai 2025.03.14 09:50 
 

Very good indicator

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Filtrer:
Rutt Tungkiratichai
1789
Rutt Tungkiratichai 2025.03.14 09:50 
 

Very good indicator

Leon Hans Morten Voige
421
Leon Hans Morten Voige 2023.08.09 18:14 
 

I absolutely love it. You don't need to waste your time searching out all the support and resistance levels. For me it is very very lucrative trading the 1 hr timeframe with this indicator. Especially on pairs that are more trendy. Even BTC trading is easily possible with this indicator. Absolutely great!

Vahidreza Heidar Gholami
4363
Réponse du développeur Vahidreza Heidar Gholami 2023.08.09 22:12
I'm glad you've shared your thoughts and experiences. Thank you.
Yahia Ismail Ibrahim El Mughrabi
971
Yahia Ismail Ibrahim El Mughrabi 2023.05.20 21:19 
 

Great work much appreciated, it very good tool to confirm strategy

Vahidreza Heidar Gholami
4363
Réponse du développeur Vahidreza Heidar Gholami 2023.05.21 10:05
I appreciate you taking the time to share your experience. Such feedback is truly invaluable to me, and it motivates me to improve the product with each new version. Thank you!
31416
483
31416 2023.04.10 11:18 
 

So far it looks intuitive. I will try to update while gaining confidence and expertise with it. Thanks.

Update after a month using it: confirmed. Very useful.

Vahidreza Heidar Gholami
4363
Réponse du développeur Vahidreza Heidar Gholami 2023.04.11 01:47
Great! Thank you for your interest in my products.
Répondre à l'avis
Version 3.6 2025.03.08
Batching capability has been added to automatically optimize batch size for the efficient processing of large datasets.
Other minor updates and improvements.
Version 3.2 2025.01.25
Minor bug fixes and improvements.
Version 3.0 2025.01.17
The capability to handle relatively large datasets for neural networks has been added.
Error handling has been improved.
Version 2.4 2025.01.07
Added OHLC input to use full candle data (open, high, low, close) for generating complete future candles.
Bug fixes and performance improvements.
Version 2.2 2024.04.19
Functionalities for saving and loading trained models have been added.
Version 2.1 2024.04.18
Minor bug fixes
Version 2.0 2024.04.17
1. A new forecasting method based on neural networks has been added
2. Minor bug fixes
Version 1.6 2023.09.21
Minor updates and improvements.
Version 1.5 2023.05.03
New capabilities have been added, along with bug fixes.