algo trading

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Multi-Indexing in Pandas: Why is it important for Algo Trading? 30/100 Days

Multi-Indexing is a very important and powerful feature in Python’s Pandas library, especially when you are doing Algorithmic Trading. Because whenever you fetch data from an API or external source, it mostly comes in Multi-Index form. Let’s understand this in simple language. Series vs DataFrame – Basic Understanding Series is a 1D data structure of […]

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Pandas Group

Mastering Pandas Group By for Algorithmic Trading & Quantitative Analysis 28/100 Days

The Pandas GroupBy function is an essential tool in data analysis and algorithmic trading. Whether you are building cryptocurrency trading strategies, performing quantitative analysis in the stock market, or backtesting — properly grouping and aggregating data is an essential skill. Role of GroupBy in Algo Trading In algorithmic trading, we often need to group large

Mastering Pandas Group By for Algorithmic Trading & Quantitative Analysis 28/100 Days Read More »

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End-to-End Stock Analysis Using Pandas DataFrames 26/100 Days

Use of Pandas DataFrame in Algorithmic Trading What is Algorithmic Trading? Algorithmic Trading has become the basis of today’s modern trading system. In this, trading decisions are made automatically with the help of computer programming and data science. In this process, the data is deeply examined and analyzed so that the decision to buy and

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Python Decorators in Algorithmic Trading | Automate Crypto 19/100 Days

What is Algo Trading and how is it changing the financial market? Algorithmic trading is completely changing today’s financial market. In this, trading is done with the help of computer programs and quantitative techniques, which allow traders to make decisions very quickly and accurately. Especially when you talk about high frequency trading (HFT), every microsecond

Python Decorators in Algorithmic Trading | Automate Crypto 19/100 Days Read More »

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Serialization & Deserialization in Python for Algorithmic Trading 16/100 Days

Algorithmic Trading with Python: A Revolutionary Start Algorithmic trading has revolutionized today’s financial markets. Now traders can make data-based decisions in just a few seconds. With programming languages ​​like Python, you can now easily automate trading. In this blog, we will discuss the basics of algorithmic trading through Python, best trading software in USA, quantitative

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Polymorphism & Abstraction in Python for Algorithmic Trading 13/100 Days

Day 13 – Understand the power of Polymorphism and Abstraction in Python Today we will understand two of the most important concepts of Object Oriented Programming (OOP) – Polymorphism and Abstraction. Both of these principles make algorithmic trading software more powerful and flexible. Especially when you are working on crypto trading strategies in USA or

Polymorphism & Abstraction in Python for Algorithmic Trading 13/100 Days Read More »

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Object-Oriented Programming (OOP) in Python for Algorithmic Trading 12/100 Days

In today’s blog, we will learn about two important principles of Python’s OOPs (Object-Oriented Programming) – Polymorphism and Abstraction – which are essential for building any modern algorithmic trading bot. Also, we will implement a real crypto trading strategy using Freqtrade that enables you to trade in the global market from any country like USA

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Object-Oriented Programming (OOP) for Algorithmic Trading in Python 11/100 Days

Algorithmic Trading with Python: Day 11 – Understand the real meaning of Encapsulation Hello friends! Welcome to Day 11 of 100 Days of Hell with Python Algo Trading. Today we will talk about Encapsulation – which is a very important but most misunderstood concept of Object Oriented Programming (OOP). By now you must have read

Object-Oriented Programming (OOP) for Algorithmic Trading in Python 11/100 Days Read More »

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Object-Oriented Programming (OOP) for Algorithmic Trading in Python 10/100 Days

Welcome to 100 Days of Hell with Python Algo Trading – Day 10! Today we are 10% of the way into this century, which means that we have understood many important Python Algorithmic Trading concepts. In the previous session, we learned: What is a Constructor Function The importance of the self keyword The Golden Rule

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