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MetaForecast M5

5

MetaForecast prognostiziert und visualisiert die Zukunft eines beliebigen Marktes basierend auf den Harmonien in den Preisdaten. Obwohl der Markt nicht immer vorhersehbar ist, kann MetaForecast, wenn es ein Muster im Preis gibt, die Zukunft so genau wie möglich voraussagen. Im Vergleich zu ähnlichen Produkten kann MetaForecast durch die Analyse von Markttrends genauere Ergebnisse erzeugen.


Eingabeparameter

Past size (Vergangene Größe)

Gibt an, wie viele Balken MetaForecast verwendet, um ein Modell zur Generierung zukünftiger Vorhersagen zu erstellen. Das Modell wird durch eine gelbe Linie dargestellt, die über den ausgewählten Balken gezogen wird.

Future size (Zukünftige Größe)

Gibt an, wie viele zukünftige Balken vorhergesagt werden sollen. Die vorhergesagte Zukunft wird durch eine rosa Linie mit blauen Regressionslinien dargestellt, die darüber gezogen werden.

Degree (Grad)

Diese Eingabe bestimmt das Analyse-Niveau, auf dem MetaForecast den Markt untersuchen wird.

Degree Beschreibung
 0 Für Grad 0 wird empfohlen, einen großen Wert für die Eingabe "Past size" zu verwenden, um alle Spitzen, Täler und Details im Preis abzudecken.
 1 (empfohlen) Für Grad 1 kann MetaForecast Trends verstehen und bessere Ergebnisse mit einer kleineren "Past size" generieren.
 2 Für Grad 2 kann MetaForecast neben Trends auch Umkehrpunkte identifizieren. Für Grade größer als 1 müssen höhere Werte für die Eingaben "Details" und "Noise Reduction" verwendet werden.
 Größer als 2 Es wird nicht empfohlen, Grade größer als 2 zu verwenden, aber es kann ausprobiert werden.
Mehrere Instanzen von MetaForecast mit unterschiedlichen Graden können verwendet werden, um Vorhersagen zu bestätigen. Zum Beispiel kann eine Instanz mit PastSize=5000 und Degree=0 und eine andere Instanz mit PastSize=600 und Degree=1 gemeinsam verwendet werden.

Details

Gibt den Prozentsatz der Details in den Preisdaten an, der für die Generierung von Vorhersagen extrahiert werden soll. Höhere Werte erfordern eine längere Verarbeitungszeit.

Noise Reduction (Rauschreduktion)

Bei Verwendung von Graden größer als 1 benötigt MetaForecast eine Rauschreduktion für die Eingangsdaten, um ein ordnungsgemäßes Modell zu erstellen. Zum Beispiel sollten Sie für Degree=2 die Rauschreduktion auf 90% setzen. Um ein besseres Ergebnis zu erzielen, erhöhen Sie die Details auf 20%.

Remove jumps (Sprünge entfernen)

Manchmal treten in den Vorhersageergebnissen große Sprünge auf, insbesondere bei Graden größer als 1. Durch Aktivierung dieser Eingabe kann die Form der Vorhersage korrigiert werden.

Regression lines (Regressionslinien)

MetaForecast zieht Regressionslinien über die vorhergesagten Balken, um den Trend deutlicher zu machen. Verwenden Sie diese Eingabe, um die Anzahl der Linien anzugeben.

Calculate per n bars (Berechnen pro n Balken)

Legen Sie das Intervall zwischen zwei Vorhersagen mit dieser Eingabe fest. Wenn Sie es zum Beispiel auf 100 setzen, bedeutet dies, dass es die Zukunft vorhersagt und dann eine Pause von 100 Balken einlegt, bevor die nächste Vorhersage gemacht wird.

MetaForecast ermöglicht es Händlern, zukünftige Preisbewegungen in der Preisgeschichte vorherzusagen und die Ergebnisse mit tatsächlichen zukünftigen Preisen zu vergleichen. Um diese Funktion zu nutzen, drücken Sie die Taste "H" auf Ihrer Tastatur, um die vertikale Linie anzuzeigen, die verschoben werden kann, um die Vorhersage in historischen Preisen anstatt der aktuellen Kerze zu platzieren. Um durch die Geschichte zu navigieren, halten Sie die "Strg"-Taste gedrückt und bewegen Sie die Maus, um die vertikale Linie zu verschieben. Um zur aktuellen Kerze zurückzukehren, drücken Sie erneut "H". Wenn Sie mehrere MetaForecasts in Ihrem Diagramm haben und sie gleichzeitig zurücksetzen möchten, drücken Sie die Taste "R" auf Ihrer Tastatur.

Ich erkunde ständig neue Ideen, um die Zukunft des Marktes vorherzusagen. Sobald ich eine neue funktionierende Methode oder einen neuen Algorithmus entdecke, baue ich ihn in das Produkt ein. Ich würde Ihre Unterstützung schätzen, um mir zu ermöglichen, dieses einzigartige Angebot weiterzuentwickeln.

Bewertungen 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
457
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
1768
Rutt Tungkiratichai 2025.03.14 09:50 
 

Very good indicator

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Auswahl:
Rutt Tungkiratichai
1768
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
4344
Antwort vom Entwickler 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
4344
Antwort vom Entwickler 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
457
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
4344
Antwort vom Entwickler Vahidreza Heidar Gholami 2023.04.11 01:47
Great! Thank you for your interest in my products.
Antwort auf eine Rezension
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.