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MetaForecast M5

5

MetaForecast predice y visualiza el futuro de cualquier mercado basándose en las armonías de los datos de precios. Aunque el mercado no siempre es predecible, si existe un patrón en el precio, MetaForecast puede predecir el futuro con la mayor precisión posible. En comparación con otros productos similares, MetaForecast puede generar resultados más precisos al analizar las tendencias del mercado.


Parámetros de entrada

Past size (Tamaño del pasado)

Especifica el número de barras que MetaForecast utiliza para crear un modelo para generar predicciones futuras. El modelo se representa mediante una línea amarilla trazada sobre las barras seleccionadas.

Future size (Tamaño del futuro)

Especifica el número de barras futuras que se deben predecir. El futuro predicho se muestra mediante una línea rosa con líneas de regresión azules dibujadas sobre ella.

Degree (Grado)

Este valor de entrada determina el nivel de análisis que MetaForecast llevará a cabo en el mercado.

Degree Descripción
 0 Para un grado de 0, se recomienda utilizar un valor grande para el parámetro "Tamaño del pasado" para abarcar todos los picos y valles, así como los detalles en el precio.
 1 (recomendado) Para un grado 1, MetaForecast puede comprender las tendencias y generar mejores resultados con un valor más pequeño para el parámetro "Tamaño del pasado".
 2 Para un grado 2, además de las tendencias, MetaForecast también puede identificar puntos de reversión. Para grados superiores a 1, se deben utilizar valores más altos para los parámetros 'Detalles' y 'Reducción de ruido'.
 Mayor que 2 No se recomienda utilizar grados mayores que 2, pero se puede intentar.
Se pueden utilizar múltiples instancias de MetaForecast con diferentes grados para confirmar las predicciones. Por ejemplo, se puede usar una instancia con PastSize=5000 y Degree=0, y otra instancia con PastSize=600 y Degree=1 juntas.

Details (Detalles)

Especifica el porcentaje de detalles en los datos de precios que se deben extraer para generar predicciones. Valores más altos requieren más tiempo de procesamiento.

Noise Reduction (Reducción de ruido)

Cuando se utilizan grados mayores que 1, MetaForecast requiere reducción de ruido para los datos de entrada con el fin de crear un modelo adecuado. Por ejemplo, para degree=2, establece la reducción de ruido en un 90%. Para obtener un mejor resultado, aumenta los detalles al 20%.

Remove jumps (Eliminar saltos)

A veces, existen grandes saltos en los resultados de predicción, especialmente para grados superiores a 1. Habilitar esta opción de entrada puede corregir la forma de la predicción.

Regression lines (Líneas de regresión)

MetaForecast dibuja líneas de regresión en las barras predichas para hacer la tendencia más clara. Utiliza esta entrada para especificar el número de líneas.

Calculate per n bars (Calcular por cada n barras)

Establece el intervalo entre dos predicciones utilizando esta entrada. Por ejemplo, si lo configuras en 100, significa que predice el futuro y luego se detiene durante 100 barras antes de realizar la siguiente predicción.

MetaForecast permite a los traders predecir los movimientos futuros de precios en el historial de precios, lo que les permite comparar los resultados con los precios reales futuros. Para utilizar esta función, presiona la tecla "H" en tu teclado para ver la línea vertical, que se puede mover para ajustar la predicción a los precios históricos en lugar de la vela actual. Para navegar a través del historial, mantén presionada la tecla "Ctrl" y mueve el mouse para desplazar la línea vertical. Para volver a la vela actual, presiona nuevamente la tecla "H". Si tienes múltiples MetaForecasts en tu gráfico y necesitas restablecerlos al mismo tiempo, presiona la tecla "R" en tu teclado.

Siempre estoy explorando nuevas ideas para predecir el futuro del mercado. Cada vez que descubro un nuevo método o algoritmo que funcione, lo incorporo al producto. Aprecio tu apoyo para permitirme seguir desarrollando esta oferta única.

Comentarios 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
1799
Rutt Tungkiratichai 2025.03.14 09:50 
 

Very good indicator

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Filtro:
Rutt Tungkiratichai
1799
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
4364
Respuesta del desarrollador 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
4364
Respuesta del desarrollador 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
4364
Respuesta del desarrollador Vahidreza Heidar Gholami 2023.04.11 01:47
Great! Thank you for your interest in my products.
Respuesta al comentario
Versión 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.
Versión 3.2 2025.01.25
Minor bug fixes and improvements.
Versión 3.0 2025.01.17
The capability to handle relatively large datasets for neural networks has been added.
Error handling has been improved.
Versión 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.
Versión 2.2 2024.04.19
Functionalities for saving and loading trained models have been added.
Versión 2.1 2024.04.18
Minor bug fixes
Versión 2.0 2024.04.17
1. A new forecasting method based on neural networks has been added
2. Minor bug fixes
Versión 1.6 2023.09.21
Minor updates and improvements.
Versión 1.5 2023.05.03
New capabilities have been added, along with bug fixes.