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Alpha Striker us30

Alpha Striker US30 is unique Expert Advisor that continues the Stochastic series of advisors. Innovative methods of the programme's approach to trading, and promising performance results are possible thanks to the use of modern technologies and methods. The Alpha Striker US30 is a fully automated EA designed to trade currencies only. Working pairs recommended US30. Expert showed stable results on currencies in 2020-2024 period. No dangerous methods of money management used, no martingale, no grid or scalping. 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.

$500 available till June 31, then the price will go up to $750

Ability to learn and adapt to new conditions. Neural networks can learn from historical data to identify patterns in the market. They can also adapt to new conditions, such as changes in exchange rates or trader behavior.

Ability to process complex data. Neural networks with multiple layers can process more complex data than traditional market analysis methods. This allows them to make more accurate predictions.

Ability to generate new ideas. Neural networks can generate new market analysis models based on the principle of natural selection. This allows them to find new patterns in the market that were not previously known.

Info:

  • Working symbols: US30
  • Working Timeframe: M1, M3, M5
  • Min deposit: $25000
  • Min leverage: 1:30 
  • Good ECN broker is required, but not must 

Features:

  • No Grid
  • No averaging
  • No dangerous methods of money management are used
  • Hard stop loss and take profit for each position
  • Stable testing results since 2020 with 85.4% quality quotes
  • Not sensitive to broker conditions 
  • Easy to install
  • FTMO and other Prop firm ready 


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The S9M Trading Robot – a cutting-edge, fully automated 2nd generation InrexEA DB system by OpenEA. This innovative solution learns from XAUUSD market trends and incorporates the best aspects of the retired Ea YOLO Diamond Hands. Structure of InrexEA Database: Clients > InrexEA DB > OpenAI > InrexEA DB analysis > Clients  InrexEA DB is a cutting-edge database solution primarily built using the powerful Python programming language. It goes beyond the limitations of MQL4 and MQL5 codes to provide
Big Forex Players MT4
Marzena Maria Szmit
4.71 (28)
We proudly present our cutting-edge robot, the  Big Forex Players EA  designed to maximize your trading potential, minimize emotional trading, and make smarter decisions powered by cutting-edge technology. The whole system in this EA took us many months to build, and then we spent a lot of time testing it. This unique EA includes three distinct strategies that can be used independently or in together. The robot receives the positions of the   biggest Banks   (p ositions are sent from our databa
Simos MT4
Maryna Shulzhenko
5 (1)
Description of   Simo : an innovative robot with a unique trading system Simo is a revolutionary trading robot that changes the rules of the game with its unique trading system. Using sentiment analysis and machine learning, Simo takes trading to a new level. This robot can work on any time frame, with any currency pair, and on the server of any broker. Simo uses its own algorithm to make trading decisions. Various approaches to analyzing input data allow the robot to make more informed dec
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