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Tutto Forex Trading robot/indicator debugging Strategy optimization Statistics and mathematics C++ Strategy modules Text writing
9 nuovi lavori in tutte le lingue
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RSD Candles, Daily candles and %change (lavori personali)
70+ USD
Hey Patricia, I would like you to integrate the following into our RSD Candles(MT4&5) expected output would be something like this. I think we are done with RSD Candles upgrade
1 Applicazione
50 - 100 USD
Looking for an experienced MQL5 developer to design and develop a custom Expert Advisor (EA) for MetaTrader 5. The purpose of this EA is not just automated trading, but also to help me better structure, test, and refine my personal trading strategy
30+ USD
99.99% signal accuracy 10-15 trades distribution all currency trade and meta AI assistance on loss[advice] stop and start robot cyber security firewall protection activation code: 20060605TLP20 Please create a trading bot with any logo with the name elevation
500 - 1000 USD
The trading bot is an automated software system designed to monitor financial markets, execute trades, and manage risk based on predefined strategies. The bot aims to maximize profits while minimizing human intervention and emotional decision-making. Scope: Supports automated trading on selected exchanges (e.g., Binance, Bitget, Coinbase). Executes trades based on technical indicators, signals, or AI models. Provides
100 - 200 USD
🔥 ICT_OneTrade_2R Precision. Discipline. Consistency. ICT_OneTrade_2R is a professional Expert Advisor designed for traders who value structured execution and controlled risk. This system is built around a fixed Risk-to-Reward ratio of 1:2 (RR 2.0) — meaning every trade is planned with precision: Risk 1 → Target 2. No randomness. No overtrading. Just one high-quality trade per session. ⚙️ Key Features ✔ Fixed RR 1:2
30 - 200 USD
mport pandas as pd import numpy as np def detecter_tendance(data): # Code pour détecter la tendance pass def identifier_niveaux(data): # Code pour identifier les niveaux de support et de résistance pass def calculer_stop_loss(tendance, support, resistance): # Code pour calculer les stop loss pass def calculer_profils(tendance, support, resistance): # Code pour calculer les profils mport pandas as pd