Class-driven Averaging Subroutine - position averaging function, opening positions against the trend

MQL5 Experts

Tâche terminée

Temps d'exécution 43 jours
Commentaires de l'employé
Great customer. Clear instructions. Thanks. Look forward to more jobs in the future.

Spécifications

Develop a class-driven sub-routine that can be implemented in a variety of existing Expert Advisor with minimum complications of integration. It should implement a good OOP concept for reusability and derive sub-mechanisms.

This sub-routine will work on algorithms running on MT5 terminal; we may need to develop an expert advisor opening a long or short position for test. This subroutine purpose is to implement a strategy of averaging down.

This is that we open:

BUY 1 LOT EURUSD at 1.19209

This sub-routine will open automatically

BUY 1.3 LOT EURUSD at 1.19172 with a comment "Level_1"

Resulting on an average price in EURUSD of 1.19195 at 2.30 LOT, so this sub will draw a BLUE line at this average level. RED if SELL position.

Attention: For different LOT of positions, the average price is calculated using a mathematical formula.

Finally, will open automatically if the price continue against:

BUY 1.69 LOT EURUSD at 1.19078 with a comment "Level_2"

This next average level as is not open yet so will draw a line in "Bisque" color with the parameters of the averager sub-routine in this case the LOT factor increases to a 30% or 1.3X and the amount of PIPs in the following format:  1.30X/1.69N/94p indicating the average %, resulting lot size and pips in distance.

If this average level is triggered then the average price of the EURUSD position is 1.19145 at 3.99 LOT.

The PIPs difference between 1.19209 and 1.19172 and the next 1.19145 is provided as a parameter for the sub-routine.

The averager sub-routine will have a maximum amount of positions to open. And a FLOOR parameter that sets the minimum distance, this distance can be set in price or points. If in the example below we set a price floor of 1.19130 the next level provided can not be 1.19145 and will be floored at 1.19130. If we set a points floor of 70 pips the next level can not be 67 pips as provided and will be floored at 70 pips.

The subroutine will increase distance in the same way to increase volume, this is that an increment can be set of a 10% or 1.1X added to the distance provided.

If the instrument maximun volume is 50, and the next average down is 56. We will fraction the order in 50 (the max.) and another position at the same price level at 6, with the same comment. If the broker have a maxium limit of positions and can not open, we will pop-up a message alterting with the limitation of opening new positions. 

Finally, the sub-routine will use a time delay to evaluate if a different distance in pips is supplied.

Inputs:

AveragerFunc(
             bool AverageUSE=true,
             int Distance=1,
             ENUM MinDistType=1, //1-Price, 2-Points
             double MinDistVal=0,
             bool UseCalcDelay=true,
             ENUM CalcDelay=1M, //1M,2M,5M,15M,1H,1D,1W, TF defaults in example
             DistanceFactor=1.1, //points + 10% in this case
             LotsFactor=1.3, //volume + 30% in this case
             MaxOrders=10, //maximum of averaging positions
             string s="Averager " //default comment for opening positions and concatenate
             )

Output of the subroutine will be:
LOTs BUY:        2.3             //actual volume size
LONG Avg:       1.19195       //actual average
LONG N Avg:    1.19145       //next average

The average calculation have to take into account any commission and swap charges in any given period. So if this positions stays for more than a day and a swap is charged, have to be reflected in the resulting average price every day.

Attached an image of the horizontal lines.

Répondu

1
Développeur 1
Évaluation
(27)
Projets
43
7%
Arbitrage
18
6% / 78%
En retard
26
60%
Gratuit
2
Développeur 2
Évaluation
(169)
Projets
204
30%
Arbitrage
25
40% / 44%
En retard
12
6%
Gratuit
Commandes similaires
Spärtã Ackah 50+ USD
I go by the name Spärtã Ackah, and this is my first time trying this trading, and I am also a beginner so sometimes I will need guide lines, and most atimes I feel very difficult to withdraw the money
Master mind 30+ USD
Start ↓ Detect Trend (H4) ↓ Confirm Structure (H1) ↓ Wait for Pullback ↓ Check Indicators ↓ Calculate Confidence Score ↓ Score ≥ 80? ├── No → Wait └── Yes ↓ Calculate Lot Size ↓ Place Order ↓ Set Stop Loss ↓ Set Take Profit ↓ Manage Trade ↓ Move to Break-even ↓ Trail Stop ↓ Close Trade. IF Price > EMA200 (H4) AND EMA50 > EMA200 (H4) AND ADX > 25 AND RSI between 55 and 70 AND MACD Main > Signal AND Bullish engulfing
PROJECT: Gold (XAUUSD) Scalping Expert Advisor – M1 Timeframe OVERVIEW This EA is designed as a "sniper" scalper for Gold on the M1 chart. It does not enter trades randomly — it waits for a confirmed entry signal before firing, similar to a sniper waiting for the perfect shot rather than a random shooter. ENTRY LOGIC - The EA must wait for a confirmation signal before opening a trade (do not enter on the first sign
Do you have a bot that yoi think it makes real income ' i will buy it after testing i want to test it first you send me demo version or i give you my demo account both ways works.testing is for free and i don't pay for that . please don't semd me videos or files of you testing the bot already i will not accept another other method of testing
Do you have HFT bot that yoi rhink it makes real money' i will buy it after testing i want to test it first you send me demo version or i give you my demo account both ways works.testing is for free and i don't pay for that . please don't semd me videos or files of you testing the bot already i will not accept another other method of testing
A robot 50+ USD
HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f
# HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f}")
I need a trading bot, please i need this project urgently and when messaing me kindly send me samples of past works and dont forget i need the project to be done as soon as possible
Hello. I am looking to buy an profitable MT5 EA that can generate monhtly profits of at least 5%-10%. It is important that the EA has a smooth equity curve - meaning that it doesn't end months in a loss and that it is able to sustain long periods of profitable days/months. The EA can be a grid, scalping or any other strategy. Preferably to trade GOLD or US500 You should be able to send an .ex5 file for testing on a
slave only informations for massters need other requirments so that would send correct data. the prototype already created 2. Slave EA: Essential Settings The Slave EA must include the following mandatory inputs for management: Magic Number: Customizable Magic Number for the Slave EA. Entry Lot Input: Manual input for the lot size of Slave positions (e.g., 0.1). Master Magic Filter: Input to specify which Magic

Informations sur le projet

Budget
150+ USD
Délais
de 1 à 10 jour(s)