Submit by Lorenz

The Daily Trading with Polynomial Regression forex system is a daily timeframe strategy that incorporates a curved RevWave price channel and the DeMarker oscillator. A buy trade signal is generated when the channel slope is upward, the price falls below the lower yellow band, and the oscillator drops below the yellow line. Conversely, a sell trade signal is identified when the channel slope is downward, the price surpasses the upper yellow band, and the oscillator rises above the yellow line.

Setup Strategy

Time Frame: daily

Strategy: Reversal Trend

Currency pairs: any.

Metatrader4 indicators:

main chart

ReVvawe indicator

Zig Zag

QQE Macd dual Signal

Below the chart

Dos indicator with Demaker

Trading rules

Buy

The price is near the lower yellow line.
Dos indicator draws a green rectangle.
QQE Macd buy arrow (discretionary, but it is recommended).
Sell
The price is near the upper yellow line.
Dos indicator draws a red rectangle.
QQE Macd sell arrow (discretionary, but it is recommended).

Exit position

Place Stop loss bello grey dot line

Profit arget minimum ratio stop loss 1:1.

This is a winning forex trading system with high profitabily.

Neural networks are data analysis methods that consist of a large number of processing units that are linked together by weighted probabilities. 
In more simple terms, neural networks are a model loosely resembling the way that the human brain works and learns. They’re often used in Forex market prediction software because the network can be trained to interpret data and draw a conclusion from it.

Before they can be of any use in making Forex predictions, neural networks have to be ‘trained’ to recognize and adjust for patterns that arise between input and output. The training and testing can be time consuming, but is what gives neural networks their ability to predict future outcomes based on past data. The basic idea is that when presented with examples of pairs of input and output data, the network can ‘learn’ the dependencies, and apply those dependencies when presented with new data.

Here is presented the CTG an example of Neural Neural Networks model.We do not like neural networks methods for forex market because offers more entry point. This is not good for traders. 

Share your opinion, can help everyone to understand the forex strategy.