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Night King EA is a conceptually new automated trading advisor using a scalping strategy. Experts use unique artificial intelligence technology for market analysis to find the best entry points. EA contains self-adaptive market algorithms with reinforcement learning elements. Reinforcement machine learning differs from supervised learning in a way that it does not need labelled input/output pairs to be present, and it does not need sub-optimal actions to be explicitly corrected. Instead it focuses on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).

  • Load the EA and trade using the chart buttons
  • Don’t trade any other EA in the same symbol
  • Take only one initial trade per symbol -never two or more-
  • If the buy/sell buttons are not displayed, it means the EA is busy
  • The EA can trade many symbols independently at the same time
  • But be careful: never, ever, load the EA twice on the same symbol
  • There is no need to set a different Magic Number to trade different symbols
  • Trade from a VPS or leave your trading computer turned on 24/5
  • Try to never unload the EA to assure the atomicity of the process
  • Big spread hikes affect the EA negatively. If possible, trade from a fixed spread account
  • In fixed spread accounts, using a small zone proves beneficial for performance
  • However, a safe zone for variable spread accounts is 100 pips
  • Avoid taking a trade if you expect the market to stay flat

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Recommend:

Time frame: M5 or any Time frame. Recomended 5M.

My favourite are GBPUSD, EURUSD, GBPEUR, GBPJPY . You can also try other pairs with more conservative settings

Min Balance: $ 100 

Time frame: M5 or any Time frame. Recomended 5M.

My favourite are GBPUSD, EURUSD, GBPEUR, GBPJPY . You can also try other pairs with more conservative settings

Min Balance: $ 100 

Download history before backtest (Press F2, find currency pair, then Download). Backtest with model: Every tick

Download history before backtest (Press F2, find currency pair, then Download). Backtest with model: Every tick

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