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Experts is a member of my experts optimizer project. It run with files keeping parameters, input parameters and web request supplier parameters.

The experts using 2 indicators combined to create a trade entering as well as existing from trade.

I take 2 years to research these process testing with real account, demo account in long time period. As trading with broker with fixed parameter with hard stop-loss are difficult to win a game. I design the process using Hybridge stop-loss that combine hard stop-loss and virtual stop. 

This expert require weekly optimizer process so I design simple work process to do work from optimizer and then tester it. After run tester with best  optimizer result. Expert will keep last result into local file. When load into a chart it will load last optimizer into it and ready to run. You can test various symbol and pair, expert can keep those value into a single file. It is easy to run multi-chart in desktop or with VPS.

  • WebApiServer¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† = ‚Äúexpertsoptimizer.com‚ÄĚ;
  • Signal_ThresholdOpen¬† ¬† ¬† ¬† ¬† = 10;¬† ¬† ¬† ¬† ¬† // Signal threshold value to open [0‚Ķ100]
  • Signal_ThresholdClose¬† ¬† ¬† ¬† ¬† = 10;¬† ¬† ¬† ¬† ¬† // Signal threshold value to close [0‚Ķ100]
  • Signal_StopLevel¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† = 200;¬† ¬† ¬† ¬† // Stop Loss level (in points)
  • Signal_Expiration¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬†= 4;¬† ¬† ¬† ¬† ¬† ¬†// Expiration of pending orders (in bars)
  • Signal_Stoch_PeriodK¬† ¬† ¬† ¬† ¬† ¬†= 8;¬† ¬† ¬† ¬† ¬† ¬†// Stochastic(8,3,3,‚Ķ) K-period
  • Signal_Stoch_PeriodD¬† ¬† ¬† ¬† ¬† ¬†= 3;¬† ¬† ¬† ¬† ¬† ¬†// Stochastic(8,3,3,‚Ķ) D-period
  • Signal_Stoch_PeriodSlow¬† ¬† ¬† ¬†= 3;¬† ¬† ¬† ¬† ¬† ¬†// Stochastic(8,3,3,‚Ķ) Period of slowing
  • Signal_Stoch_Applied¬† ¬† ¬† ¬† ¬† = STO_LOWHIGH; // Stochastic(8,3,3,‚Ķ) Prices to apply to
  • Signal_Stoch_Weight¬† ¬† ¬† ¬† ¬† ¬†= 1.0;¬† ¬† ¬† ¬† ¬†// Stochastic(8,3,3,‚Ķ) Weight [0‚Ķ1.0]
  • Signal_AMA_PeriodMA¬† ¬† ¬† ¬† ¬† = 10;¬† ¬† ¬† ¬† ¬† // Adaptive Moving Average(10,‚Ķ) Period of averaging
  • Signal_AMA_PeriodFast¬† ¬† ¬† ¬† = 2;¬† ¬† ¬† ¬† ¬† ¬†// Adaptive Moving Average(10,‚Ķ) Period of fast EMA
  • Signal_AMA_PeriodSlow¬† ¬† ¬† ¬† = 30;¬† ¬† ¬† ¬† ¬† // Adaptive Moving Average(10,‚Ķ) Period of slow EMA
  • Signal_AMA_Shift¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬†= 0;¬† ¬† ¬† ¬† ¬† ¬†// Adaptive Moving Average(10,‚Ķ) Time shift
  • Signal_AMA_Applied¬† ¬† ¬† ¬† ¬† ¬† = PRICE_CLOSE; // Adaptive Moving Average(10,‚Ķ) Prices series
  • Signal_AMA_Weight¬† ¬† ¬† ¬† ¬† ¬† ¬†= 1.0;¬† ¬† ¬† ¬† ¬†// Adaptive Moving Average(10,‚Ķ) Weight [0‚Ķ1.0]
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//‚ÄĒ inputs for trailing

  • Trailing_FixedPips_StopLevel¬† = 30;¬† ¬† ¬† ¬† ¬† // Stop Loss trailing level (in points)
  • Trailing_FixedPips_ProfitLevel = 50;¬† ¬† ¬† ¬† ¬†// Take Profit trailing level (in points)
  • Money_FixRisk_Percent¬† ¬† ¬† ¬† ¬† = 25.0;¬† ¬† ¬† ¬† // Risk percentage

//‚ÄĒ input for optimizer selection

  • MinTRADE¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬†=20;
  • MaxDD¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† =30;
  • MinROI¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† ¬† =40;
  • MinTESTDAY¬† ¬† ¬† ¬† ¬† ¬† =20;
  • MaxTESTDAY¬† ¬† ¬† ¬† ¬† ¬† =100;

Key Features of Algorithmic Trading Software

11 June 2021

1.0

Trading strategy

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