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Create a basic algorithm that can be used as a base for a range of trading strategies. This course is designed for: traders from all experience levels who are looking to learn more about algorithmic trading and how to integrate it into your trading strategy.Algorithmic trading refers to the use of robots (automatic order submission computer program) to accomplish a certain trading goal, such as automatic market making, statistical arbitrage, technical analysis, portfolio rebalancing, etc. Students will be given the opportunity to get hands-on experience in purposely designed online financial ...This is not only a course on Technical Analysis and Trading. It´s an in-depth coding course on Python and its Data Science Libraries Numpy, Pandas, Matplotlib, Plotly , and more. 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It fills a significant gap by bringing cutting-edge mathematical models to bear on the analysis and implementation of practical algorithms. Using a unique blend of microstructure theory, financial ...This type of data will be used as the empirical basis for modeling and testing various ideas within the umbrella of algorithmic trading and quantitative modeling related to the dynamics and micro-structure of financial markets. Due to the fact that it is near impossible to perform experiments in finance, there is a need for empirical inference ... This course is compiled for data science beginners and professionals who want to shift their career to financial sector. This course assumes a basic knowledge of Python programming such as conditional and looping statements. 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From obtaining APIs and historical data to developing robust strategies, this course will equip you with the essential knowledge and practical skills to excel in algo-trading.Learn algorithmic trading basics and gain a solid foundation in this exciting field. Here is part 2 of the video series, "Algo Trading Course", which introduces you to algo trading, the industry landscape, pros and cons, building an algo trading python strategy, the benefits of a quant approach, different types of data, and moreLearn to program in MQL4 and develop, test, and optimize your own algorithmic trading systems. This course assumes no prior programming or Forex knowledge, just a desire to learn and be successful. In the first section of this course we will install MetaTrader 4, open a free demo account, and learn the essential theory behind algorithmic trading. Forex trading involves buying one currency and selling another at a certain exchange rate. 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Extracting daily and intraday data for free using APIs and web-scraping. Working with JSON data. Incorporating technical indicators using python.The course is non-technical, but participants interested in the technical aspects of algorithmic trading can engage in optional activities to learn how to build a model using Python. These activities are voluntary and conducted through an integrated development environment, with no additional software required. Trading NinjaTrader in half automated fashion using Chart Trader. Creating custom indicators. Interfearing with the chart zone. Creating custom optimization fitness parameters. Designing your own indicators, analyzers, addons. Creating components to reuse code. Working wit multiple timeframes and symbols at the same time.The augmented market fragmentation and expansion of cross-asset trading is laying the foundation for the upcoming generation trading. Investment (Training ...15%. Army/ Medical/ Education. 25%. 25%. 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