Technology is changing rapidly in the world of trading, and the game of investing is no longer limited to charts and prices. Algorithmic trading is now dominated by traditional data as well as “alternative data”. This data is that which is not usually found in financial reports or stock charts – such as social media […]
Descriptive Statistics Part-3 | Day 38 of 100 Days of Python Algo Trading Welcome to Day 38 of our 100-day journey into Python Algorithmic Trading. Today, we delve deeper into descriptive statistics, focusing on essential concepts like quantiles, quartiles, quintiles, deciles, percentiles, and their significance in data analysis. Understanding Quantiles In statistics, quantiles are values
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Role of Data Cleaning and Descriptive Statistics in Algo Trading Data cleaning is a crucial step in algorithmic trading, which ensures that stock market data sets are accurate and reliable. The cleaned data is analyzed through descriptive statistics, which helps in making better trading decisions. Why is data cleaning necessary in algorithmic trading? Before applying
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Importance of Descriptive Statistics and Data Assessment in Algo Trading Algorithmic Trading, is becoming increasingly popular in today’s stock market and crypto trading. In this, it is very important to analyze the data correctly so that the right trading decisions can be made. Descriptive Statistics and Data Assessment are an important part of these strategies,
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Importance of Mathematics in Machine Learning and Artificial Intelligence Mathematics required for machine learning and AI – understand in easy language If you want to learn algo trading, crypto trading, or stock market algorithms, then you should have a basic understanding of machine learning and artificial intelligence (AI). A good knowledge of mathematics is very
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Matplotlib is a powerful Python library that helps to understand data in a visual way. This tool is very important in algo trading, crypto trading and stock market algorithms. It not only makes data analysis easier, but also makes it easier to create strategies. Scatter plot: Show the relationship of data If you want to
Matplotlib in Python (Part 2): Advanced Plotting & Customization Guide 34/100 Days Read More »
Matplotlib is a powerful Python library that is widely used for data visualization. Creating graphs and charts is essential for effectively analyzing data in algorithmic trading and crypto trading. In this guide, we will discuss the usage of Matplotlib and its various plots that are useful for quantitative traders. What is Matplotlib? Matplotlib is an
Matplotlib in Python: A Beginner’s Guide to Data Visualization 33/100 Days Read More »
Hello friends, welcome to Day 32 of 100 Days of Hell with Python Algo Trading. In the last session, we learned about Multi-Indexing and understood it with many good examples. Hope you got everything clear. We also shared some Multiple Choice Questions, Task Questions and a Mini Project, which you must have seen. Today we
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Use of Melt, Pivot Table and String Operations in Python Pandas – Pandas is a very important library for data analysis in Python. In today’s blog, we will discuss three major concepts – Melt Function, Pivot Table, and Vectorized String Operations. These three functions are very useful in data science, machine learning and algorithmic trading.
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
Multi-Indexing in Pandas: Why is it important for Algo Trading? 30/100 Days Read More »