Offer for those who has account at roboforex. Copytrading signals
On this account working several eas with fix SL and TP with trail SL. Account protected from loss. Trades not open often = less trades less risk. Proper strategy with advanced risk control
This account working 3 eas all with SL and TP. No risk blown account
On account working 4 eas with SL and TP. One ea are grid but with hard SL for avoid big losses. EAs not open a lot trades that's why be patient. It's steady and stable system for long term trading
No risk blown account
Here are working ea for BTC with SL and TP max possible trades at time 2. Working 24/7
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Super Gold EA Unlimited MT5.rar
836.7 KB
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💡 A structured swing-projection tool that automates Charles Lindsay's Trident quarter-swing method, turning a manual charting technique into a filtered, alert-ready framework for identifying retracement setups and projecting forward trade levels from a confirmed three-point swing structure.
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We accept no responsibility for it! We no have any system which are promoted. Please do not contact us for clarify it
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Forwarded from 1137439312:AAGumjHJ7pzA6vrrfVMlKoqTUsCs59GySrg
All Signal are free
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⭐️ Aura Black Edition is a fully automated EA designed to trade GOLD only. Expert showed stable results on XAUUSD in 2011-2020 period. No dangerous methods of money management used, no martingale, no grid or scalp. Suitable for any broker conditions. EA trained with a multilayer perceptron Neural Network (MLP) is a class of feedforward artificial neural network (ANN). The term MLP is used ambiguously, sometimes loosely to any feedforward ANN, sometimes strictly to refer to networks composed of multiple layers of perceptron's (with threshold activation). Multilayer perceptron's are sometimes colloquially referred to as "vanilla" neural networks, especially when they have a single hidden layer. An MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training. Its multiple layers and non-linear activation distinguish MLP from a linear perceptron. It can distinguish data that is not linearly separable.
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Mega Link
https://mega.nz/folder/PCxxjAwJ#jfSLbACDhioG24crE9lz_g
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