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Basics of Python Algo Trading | 1/100 Days of Python Algo trading

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Basics of Algorithmic Trading with Python Python has gained immense popularity in the field of algorithmic trading due to its simplicity, extensive libraries, and strong community support. Whether you are a beginner or an experienced trader, learning Python can significantly enhance your ability to develop trading strategies, analyze market data, and execute trades automatically. In […]

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Mastering Descriptive Statistics in Python for Algorithmic Trading 3/38 Days

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Descriptive statistics play a crucial role in algorithmic trading by helping traders analyze historical data, identify trends, and make data-driven decisions. In this blog, we’ll explore key concepts of descriptive statistics in Python and how they can enhance your trading strategies. Why Descriptive Statistics Matter in Algo Trading? Helps in exploratory data analysis (EDA) to

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Data Cleaning & Descriptive Statistics in Python for Algorithmic Trading 37/100 Days

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Data cleaning is a crucial step in algorithmic trading, ensuring that stock market datasets are accurate and reliable. Descriptive statistics help analyze the cleaned data, providing insights for better trading decisions. In this blog, we’ll cover handling missing values, data standardization, and statistical analysis using Python. Why Data Cleaning is Essential in Algorithmic Trading? Before

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Descriptive Statistics and Data Assessment in Python for Algorithmic Trading 36/100 Days

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Descriptive statistics play a crucial role in algorithmic trading by helping traders analyze datasets, identify patterns, and make informed decisions. In this guide, we’ll explore key statistical techniques using Python and Pandas to assess trading data effectively. So simply we can say we collect the data from different sources then we analyze based on various

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Essential Mathematics for Mastering Machine Learning and AI 35/100 Days

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Mathematics is the foundation of Machine Learning (ML) and Artificial Intelligence (AI). Understanding key mathematical concepts helps in: Building accurate ML models Optimizing algorithms Improving decision-making in AI applications This guide covers essential math topics for ML and AI, along with useful resources. Why is Math Important for ML & AI? Math enables machines to

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Matplotlib in Python (Part 2): Advanced Plotting & Customization Guide 34/100 Days

algo trading, algorithmic trading, Python, Quizzes

And now you get a scatter plot and here you can see that on the x-axis we have the price and on the Y we have the earnings and now you will see that we have a bar chart and that is absolutely ridiculous so let’s improve this this is how you can make vertical

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Matplotlib in Python: A Beginner’s Guide to Data Visualization 33/100 Days

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Matplotlib is one of the most powerful Python libraries for data visualization. Whether you’re a beginner or an experienced coder, mastering Matplotlib will help you create stunning charts and graphs. When you hit shift enter you will see that we have a nice flock right which is telling us that what was the price and

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Vectorized String Operations | 32/100 Days of Python Algo Trading

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Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you

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Pivot Table & Melt in Pandas – Algorithmic Trading Python for Quantitative Traders 31/100 Days

algo trading, algorithmic trading, Python, Quizzes

Matplotlib is the go-to library for data visualization in Python. Whether you’re working on data science, machine learning, or financial analysis, Matplotlib helps you create clear and informative charts. Basically you can simply say in short that melt can convert a wide format data to a long format so when you apply plot we get

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MultiIndex in Pandas | 30/100 Days of Python Algo Trading

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