프리랜스섹션

Forex EA trading Robot

MQL5 전문가 Forex Trading robot/indicator debugging Strategy optimization Statistics and mathematics Python Java

명시

Instruments: EURUSD, USDJPY, GBPUSD, USDCAD, EURJPY, USDCHF, EURGBP, AUDUSD, XAUUSD (gold).
Timeframe: 5 minutes (M5).
1. Entrances
The EA detects entry points based on key price levels (recent high and low prices) identified by price action (e.g. breakout or bounce off supports/resistances, specific candlestick patterns or continuation/reversal patterns).
The EA opens long (buy) positions near the identified low prices and short (sell) positions near the high prices.
The algorithm should include confirmation logic to avoid false signals (e.g., validation by volume, momentum, or a basic indicator serving as a filter).
2. Position management and hedging
The EA uses a smart hedging method based on an artificial intelligence (AI) algorithm that:
Analyzes the likely market direction in real time.
Hedging should be optimized to limit losses to a maximum drawdown of 10%.
3. Exit management
Positions are closed automatically as soon as a significant profit is reached, according to a predefined profit threshold.
The robot can partially close positions to lock in profits while letting some of the gains run.
Once a position is closed, the system re-evaluates the market to resume a new position according to the same criteria.
4. Batch management
Recommended initial lot: 0.01 lot per $100 deposit.
5. Additional Conditions
The EA must run on MetaTrader 4 (MT4) but ideally be developed in MQL5 for more flexibility (or planned porting).
Should be compatible with all Forex brokers without spread or slippage restrictions.
Must include a built-in parametric optimization function to test different configurations on historical data.
Technical points to be clarified to the MQL5 developer
Implementation of an AI or machine learning analysis module for coverage management (example: simple supervised learning algorithm or rules based on combined indicators).
Price action detection system based on precise rules (candlestick patterns, pivot levels, breakouts).
Simple user interface to adjust key parameters (entry/exit thresholds, lot size, max drawdown).
Detailed transaction logging for post-trade analysis.

응답함

1
개발자 1
등급
(252)
프로젝트
315
29%
중재
34
26% / 65%
기한 초과
10
3%
무료
2
개발자 2
등급
(296)
프로젝트
475
40%
중재
105
40% / 24%
기한 초과
80
17%
바쁜
게재됨: 2 코드
3
개발자 3
등급
(1)
프로젝트
2
0%
중재
2
0% / 50%
기한 초과
0
무료
4
개발자 4
등급
(5)
프로젝트
7
0%
중재
8
13% / 75%
기한 초과
3
43%
무료
5
개발자 5
등급
(1)
프로젝트
0
0%
중재
5
0% / 80%
기한 초과
0
무료
6
개발자 6
등급
(2)
프로젝트
2
0%
중재
1
0% / 100%
기한 초과
0
무료
비슷한 주문
Trading 30+ USD
Un stratégie très puissant qui me fait gagner beaucoup d'argent . Veillez rejoindre pour en bénéficier avec moi On est toujours ensemble .Le trading est bien facile avec des stratégies et le paramétrage des indicateurs de temps.On est toujours dedans depuis très longtemps
VICTOIRE MASTERCLASS 30 - 200 USD
import ccxt import pandas as pd import numpy as np import talib import time # Configuration exchange = ccxt.binance({ 'apiKey': 'VOTRE_API_KEY', 'secret': 'VOTRE_SECRET_KEY', }) # Paramètres de trading symbole = 'BTC/USDT' timeframe = '1h' montant = 100 # en USDT stop_loss = 0.98 # 2% de perte maximale take_profit = 1.03 # 3% de gain def recuperer_donnees(): ohlcv = exchange.fetch_ohlcv(symbole, timeframe
EA basé sur le croisement de Moyennes Mobiles avec filtre RSI". 30 - 200 USD
//+------------------------------------------------------------------+ //| M65 PRO ROBOT | //| Trend + RSI + Risk Management | //+------------------------------------------------------------------+ #property strict input double LotSize = 0.01; input int StopLoss = 100; // points input int TakeProfit = 200; // points input int RSI_Period = 14; int rsiHandle; int ema50Handle; int ema200Handle;
CREATION OF A TRADING BOT : ‘An Expert Advisor based on MA and a Stock data condition’. 30 - 100 USD
Objectif : validation du comportement , zéro stress 🧮 Gestion du risque MaxRiskPerDay = 2.0 % MaxTradesPerDay = 4 RiskPerTrade = 0.50 % MaxDailyLossHardStop = 2.0 % 📈 Trading Timeframe = M15 Symbols = EURUSD,GBPUSD AllowBuy = true AllowSell = true OneTradePerSymbol = true 📊 Indicateurs MACD_Fast = 12 MACD_Slow = 26 MACD_Signal = 9 Stoch_K = 14 Stoch_D = 3 Stoch_Slowing = 3 🛡️ Stops ATR_Period = 14

프로젝트 정보

예산
30 - 400 USD
기한
에서 5 로 10 일