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OpenTimeTral

Time adviser with dynamic trailing stop and trailing profit.

 

The OpenTimeTral2 expert Advisor sets the selected order types at the appointed time and uses a dynamic trailing stop and trailing profit for the first market order.

Restrictions on selecting order types:

1. You can only select one type of market order, either Buy or Sell. And with the selected market order, you can't select pending orders.

2. Pending and limit orders can be selected in any combination.

After converting the first pending or limit order to a market order, the remaining pending and limit orders are deleted.

A dynamic trailing stop is used for a market order. Stoploss is modified by a distance no greater than the trailing Stop value from the current Bid price for Buy orders, and from the Ask price for Sell orders, and reduces the trailing Stop when approaching TakeProfit using the linear or feedback-accelerated formula.

For TakeProfit, a constant trailing value is also used. When the current price approaches the TakeProfit level, the TakeProfit is modified by the TralingProfit distance.

If you don't need a trailing Stop or a trailing Profit, select the corresponding values 0.

If you don't need to approximate the trailing Stop, select the value Ksl = 0

If you want to use Prots as a percentage of available funds, set the Lots value to zero.

 Input parameters 

Lots=0.01; //working lot

Prots=0.01;    // Percentage of available funds

slippage =2;  //the level of acceptable slippage - requote in points

 

TakeProfit=500; //take profit in points

StopLoss=200; //stop loss in points

Open_Level_St=100; //distance level from the price for stop orders

Open_Level_Lim=200; //distance level from the price for limit orders

Tral_Stop=200;                        // Dist. persecutions StopLoss, Tral_Stop

Tral_Profit=100;                        // Dist. moving away TakeProfit, Tral_Profit

Ksl = 0.2; // StopLoss reduction coefficient, when approaching TakeProfit by the formula for Buy

         // linear approximation SL = Bid - (Tral - 0.2(Bid - OrderOpenPrice()))

        // dynamic approximation SL = Bid - (SL - Ksl (Bid - OrderOpenPrice()))

Open_Time=D'03.01.2019 13:00:00'; //the time of opening orders must be greater than the current time.

time_op = 600; // The lifetime of pending orders, in minutes, must be more than 11 minutes.

extern int Magic=5345; //the magic number of our orders

coming=linear; // the choice of a linear approximation or a dynamic Trailing stop

extern bool Open_Buy=false;  //Yes/No working with buy orders

extern bool Open_Sell=false; //Yes/No working with sell orders

extern bool Open_Buy_Limit=false;  //Yes/No working with buy limit orders

extern bool Open_Sell_Limit=false; //Yes/No working with sell limit orders

extern bool Open_Buy_Stop=True;  //Yes/No working with buy stop orders

extern bool Open_Sell_Stop=True; //Yes/No working with sell stop orders


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Live Signal-1 :  Click here MT5 Version :   Click Here Welcome to Nasdaq Algo Trading This EA (Expert Advisor) is created and designed by a team with over 13 years of programming and trading experience. The EA focuses on developing a system that can deliver long-term and stable profits. It employs risk-free strategies, avoiding Martingale, Grid, and Hedging methods, as well as strategies using excessively long stop losses that are practically the same as no stop loss. This EA will change you
CyNeron MT4
Svetlana Pawlowna Grosshans
3.5 (4)
CyNeron: Precision Trading Meets AI Innovation Signals :   CyNeron Manual & set files : Contact me after purchase to receive the manual and set files Price : The price increases based on the number of copies sold Available copies : 5 AI-Driven Snapshot Analysis: A Market First CyNeron is the first EA on the market to integrate advanced AI into a revolutionary trading approach by capturing and processing detailed snapshots of market conditions. Utilizing cutting-edge AI-powered neural networks,
AITrendBooster MT4
Yu Mei Cheng
5 (3)
Overview AITrendBooster   is our latest intelligent trading system, designed to utilize trend-following strategies with scaling positions to significantly enhance profitability while effectively reducing drawdowns during unfavorable market conditions. This system incorporates cutting-edge deep learning technology to significantly improve trend recognition accuracy. The core design goal of the system is to maintain break-even performance during range-bound markets while achieving higher profits
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OpenTime
Valeriy Yastremskiy
The EA places orders at the specified terminal time with an accuracy of 1 minute. Types of orders are selected, the default is pending. Set stop loss, take profit, the time after which pending orders are deleted, if until that moment they were not opened(time can not be less than 11 minutes from the time of opening, the EA will not work). Check for magic number is at the beginning. If there are orders with the same magic and on the same instrument (the same symbols), the orders will not be op
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Works on the current TF. Considers MA 2, 14, 30, 120 and 480. The growth rate of the fall, the difference between 2-14, 14-30, 30-120 and 120-480.  In this EA implemented the calculation of the maximum profit, and closing depending on the price, if the maximum profit to 200 points, then do not consider anything, if from 200 to 300, then close if the price is lower by 1.1 times than the maximum profit (the price falls by 10% ), if from 300 to 1500 then close if the price falls below 1.5 times t
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