Script Or Api For Get All Information MT4 and MT5 Accounts

MQL5 脚本 咨询 C# SQL MySQL 数据探索

工作已完成

执行时间101 天

指定

LOOKING FOR DEVELOPERS TO BUILT A CODE TO GET USER'S BALANCE, TRADES, HISTORY


USER INPUT: 

MT4/MT5 ACCOUNT NUMBER:

MASTER PASSWORD: 

SERVER NAME OR IP: 

ONCE THE ACCOUT IS ATTACHED BY PROVIDING THESE DETAILS. 

SHOULD KEEP FETCH DATA LIKE BALANCE OPERATION, TRADE HISTORY, ORDERS AND POSITIONS OF THAT PARTICULAR ACCOUNT. 

反馈

1
开发者 1
等级
(100)
项目
125
23%
仲裁
12
0% / 75%
逾期
22
18%
空闲
2
开发者 2
等级
(8)
项目
11
0%
仲裁
11
18% / 73%
逾期
2
18%
空闲
3
开发者 3
等级
(132)
项目
178
39%
仲裁
4
25% / 50%
逾期
14
8%
空闲
4
开发者 4
等级
(78)
项目
246
74%
仲裁
7
100% / 0%
逾期
1
0%
空闲
发布者: 1 文章
相似订单
I have a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5 designed primarily for US30 (Dow Jones Index) . The EA performs consistently and profitably on demo accounts, but when I run it on an IC Markets Raw or Standard live account, it starts generating losses under what appear to be the same trading conditions. At this time, I cannot provide the source code (.mq4/.mq5). I can only provide the
I am looking for an experienced MQL5 developer to build a high-frequency (HFT) latency arbitrage Expert Advisor for Pepperstone MT5 , using LMAX as the leading price feed. The initial focus will be on US30 (Dow Jones) , and if the strategy proves successful, I want the EA to be easily expandable to additional symbols such as NAS100, GER40, XAUUSD, major forex pairs, and other supported instruments. The EA should
EA Crafter 500+ USD
Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
Part 1: Project setup Input settings (risk, stop loss, take profit, EMA periods) Indicator initialization Trade management framework Part 2: Trading logic EMA crossover detection Buy/Sell entry rules One-trade-per-symbol check Part 3: Risk management Automatic lot size calculation Stop-loss and take-profit placement Trade execution and error handling Part 4: Final touches On-screen information Optimization

项目信息

预算
30+ USD