Neuron Learning

Neuron Learning

Neuron Learning – multi-adviser.

Advisor uses to trade high-risk trading strategies like the Martingale. It works with take-profit and Elman neural network. Stop-loss is not used.

It may work on other major pairs.

Advisor is based on a 39 input, 10 hidden and 2 output nodes of the neural network, as well as the sigmoid function of automatic learning in real life. Trade is almost every candle. Neuron Learning studies on the history of candle and predicts the next candle.

Particular attention should be paid to the output node. It uses a single layer of the neural network and is more effective if there is confirmation of a trend change, and that the price will not return to its previous value.

input node

attributes:

  1. High – Open
  2. Open – Low
  3. ATR (3)
  4. Stdev (3)
  5. RSI (3)
  6. WPR (3)
  7. Stochastic (5,3,3) Mode_Main
  8. Stochastic (5,3,3) Mode_Signal
  9. AD
  10. ADX (3) Mode Main
  11. ADX (3) Mode PLUSDI
  12. ADX (3) Mode MINUSDI
  13. MFI (3)

recommendations

  • Minimum shoulder – 1: 500.
  • The minimum initial deposit – only $ 1000.
  • Use the M1 or M5 timeframe.

Options

  • training: Enables the robot learning mode.
  • load_neuron: Download Results robot training.
  • transaction: Allow discovery transactions.
  • reset: restore the default result of training, working with load_neuron: true.
  • max_loop: Robot depth training.
  • lot: the number of lots.
  • TakeProfit: The level of take-profit.
  • MaxSpread: Maximum spread, in which trade is allowed.
  • Slippage: Allowable slippage for opening orders.
  • max_order: The maximum number of orders.
  • Min_Margin_level: minimum margin level on the account as a percentage, when you reach this level of the transaction will not take place.

Neuron Learning

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