Техническое задание

Thinks are simple i need to parse the mt5 history to mysql database , this need to be done in real time ,

this article is what i need https://www.mql5.com/en/articles/5436.

This need to run as a EA , so if its the first time the EA is running they will need to collect all the history and parse to mysql db , and in case is not the first time they need to send just new changes.

So the EA need to be able to read the history in realtime and upload new data to mysql.

I already have this done but is in a primitive and very slow way , I automatic upload html report to my server and whit php i parse the html tags to my db , the problem whit this method are 2

first is the size of reports file is too big if i have too many reports to be read , the second is the slow , if i need to parse a very big html this take too long and is not optimal ,

So i need a ea to be able upload history data and also opened positions ( like the html report generated)

the open positions data need to have a timer so i can define in how much time i will allow the open positions to be sync whit the server.

the article i show in this post have the read structure done , and this will requiere a mysql integration to be able upload in the server

we can deal this in 2 ways , one we can directly upload to mysql server based on the timer and second we can create a python socket and parse in realtime the data on everytick.

both ways are fine for me , i dont need this to be realtime sync , if this can be 30 or 40 seconds delay or even 1 minute delay is not a problem , because this is just to show my investors how they account are growing and what is been done whit his money

is not a difficult task . All the code are in internet in the codebase , is just copypaste and code small adjusts to make this fit 

servers for test and mysql db is ready so you dont need to spend in any structure for test this

Откликнулись

1
Разработчик 1
Оценка
(647)
Проекты
1295
67%
Арбитраж
84
26% / 49%
Просрочено
338
26%
Свободен
2
Разработчик 2
Оценка
(168)
Проекты
200
48%
Арбитраж
4
25% / 50%
Просрочено
2
1%
Работает
3
Разработчик 3
Оценка
(7)
Проекты
13
0%
Арбитраж
5
20% / 60%
Просрочено
0
Свободен
Похожие заказы
I want to use a ai subscription service called Clarifai as an image identification tool, and I wish to use it in response to screenshots of my signals being generated and placed in a folder. -I believe there needs to be a script that responds to a new screenshot being added to a specific folder That script then sends the image to Clarifai, and then Clarifai needs to be instructed to scan that image and look for
buy condition when blue color appears sell condition when yellow color appears close all buys when there is a sell order close all sells when there is a buy order
Mk 30+ USD
I need a fully automated trading robot designed to generate consistent profits while strictly controlling risk and minimizing losses. The robot should use a combination of strategies, including trend-following, scalping, and price action, and must be able to adapt to different market conditions such as trending and ranging markets. It should analyze the market using indicators like Moving Averages, RSI, MACD, and
1. IF price forms: - Higher highs + higher lows → TREND = BUY - Lower highs + lower lows → TREND = SELL ELSE → NO TRADE 2. IF: - Trend = BUY - Price retraces to support zone - Bullish engulfing candle forms - TDI green crosses above red (optional) THEN: - Execute BUY 3. IF: - Trend = SELL - Price retraces to resistance - Bearish engulfing forms - TDI confirms THEN: - Execute SELL 4. Risk per trade = 1% of account Lot
Project Overview ​I am looking for a high-level Algorithmic Trader / Developer to build a sophisticated, fully automated scalping system for the Nasdaq-100 Future (NQ) . The system must integrate institutional order flow logic with market structure analysis. ​The core logic must be written in Python , acting as a central hub that bridges ATAS (as the primary data source for Order Flow) and MetaTrader 5 (as the

Информация о проекте

Бюджет
60+ USD
Сроки выполнения
от 1 до 5 дн.