|
6+ yıl
deneyim
|
1
ürünler
|
280
demo sürümleri
|
|
0
işler
|
0
sinyaller
|
0
aboneler
|
Director
konum:
Glaramara LLC
Mikayil Mammadov
We have linked RSI/MACD warden to a neural network. The warden passes signals to the artificial intelligence which returns a buy/sell/skip signal. The new AI EA will be tested during the next 10 trading sessions. The test results will be published here https://www.mql5.com/en/market/product/23704
· 1
Mikayil Mammadov
We are working on the next release of the Warden (https://www.mql5.com/en/market/product/23704). Please add your suggestion what you would like to see in the next release. We are also working on fitting an artificial neural network into the warden.
Mikayil Mammadov
1 month rent is just $15. Fresh divergence signals are in the comments section.
https://www.mql5.com/en/market/product/23704
https://www.mql5.com/en/market/product/23704
Mikayil Mammadov
RSI.MACD Warden is a very precise RSI divergence indicator https://www.mql5.com/en/market/product/23704. Use this tutorial to set up for free your VPS to receive divergence signals 24/5 https://www.youtube.com/watch?v=m-n0t_4qU2g
Mikayil Mammadov
Stay updated when the trend is going to reverse https://www.mql5.com/en/market/product/23704
Mikayil Mammadov
A settings set has been added in the comments section to let you test our new RSI.MACD Warden on H4, H1, M15 time frames.
https://www.mql5.com/en/market/product/23704
https://www.mql5.com/en/market/product/23704
Mikayil Mammadov
Please try our new RSI.MACD Warden to receive divergence signals.
https://www.mql5.com/en/market/product/23704
https://www.mql5.com/en/market/product/23704
Mikayil Mammadov
ürün yayınladı
The RSI.MACD Warden is a powerful indicator for MetaTrader 4 that uses a versatile algorithm to identify RSI, MACD, and Stochastic divergences. This indicator is designed to look back at a set number of bars and draw lines when a normal or hidden divergence is identified. The smaller the lookback period, the faster the indicator will be. The indicator can identify both normal and hidden divergences and is more accurate in identifying normal divergences. We've conducted a great number of tests