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Algorithmic Forex Trading with MT5 Python API

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Published 1/2024
Created by Mayank Rasu
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 56 Lectures ( 8h 52m ) | Size: 5.34 GB

Create Trading Bots using MT5 Python API

What you’ll learn:
Forex Trading
Algorithmic Trading
Meta Trader (MT5) Python API
Backtesting Trading Strategies

Requirements:
Basic python skills (should be familiar with data types, data structures, loops, functions, installing and importing libraries etc.)
Intermediate level familiarity with math/finance/trading

Description:
The much awaited MT5 algorithmic trading course is here!!!Design and deploy algorithmic forex trading strategies on the MetaTrader’s MT5 platform. Automate every step of your strategy including, extracting data, performing technical analysis, generating signals, placing orders, risk management etc. Gain a thorough understanding of MT5’s python API and forex trading strategies. I have also included introduction to Darwinex platform in this course which provides an amazing opportunity to forex traders anywhere in the world to get funding for their successful strategies.You can expect to gain the following skills from this courseAPI tradingForex trading & forex marketUsing Darwinex platform to get funding for your strategiesExtracting historical dataExtracting symbol specific data such as PIP,  liquidity, minimum quantity etc.Understanding & leveraging account related dataIncorporating technical indicators using pythonEnd to End strategy backtesting designBacktested strategy deploymentRunning your strategies on cloudThis course aims to provide a thorough understanding of the forex market and the algorithmic trading tools required to build fully automated automated forex trading strategies. This course seeks to provide you with the required tools to deploy reasonably complex strategies on the MetaTrader5 platform and gain an edge by leveraging advanced functionalities of MT5’s python API.The course covers multiple strategies and explains how to both backtest and deploy these strategies. The course explains how such strategies can be built step by step and how the various MT5 python API tools can be used efficiently to ensure that the various parts of the strategy work harmoniously.


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