algorithmic trading

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 […]

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Python data visualization, NumPy sorting functions, NumPy array manipulation, plotting financial data Python, Python charting libraries, NumPy advanced functions, Python NumPy plotting, Python graphing techniques, NumPy statistical functions, Python visual data analysis, NumPy array operations, Python financial charts, NumPy concatenate, NumPy append, NumPy where usage

Plotting Charts & Special NumPy Functions for Algorithmic Trading 22/100 Days

Floating Graphs, Numpy Functions & Python Charting for Algorithmic Trading Algorithmic trading is revolutionizing today’s financial markets. It helps traders to implement automated strategies with accuracy. But did you know that algo trading is incomplete without charts? Using Floating Graphs, we can visualize market trends, which is essential for any trading strategy. Today we will

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Python Functions

Python Functions for Algorithmic Trading & Crypto Strategies 7/100 Days

What is Algorithmic Trading? Algorithmic trading is a modern technology that gives traders the ability to implement their trading decisions with accuracy and speed. Algorithmic trading with Python is revolutionizing today’s world, especially in the field of quantitative trading and crypto automation. This is a perfect starting point to understand the best algorithmic trading software

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Python Tuples in Algorithmic Trading & Crypto Strategies 5/100 Days

Start of Day 5: Final Step of Python Data Types Today we are going to cover some of the most important data types in Python — Tuples, Sets, and Dictionaries. These concepts are especially important in the field of Algorithmic Trading and Quantitative Analysis. Today’s focus is mainly on Tuples, which is important to understand

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Python lists

Python Lists in Algorithmic Trading & Crypto Strategies 4/100 Days

Day 4: Deep study of Python List – Essential Data Structure for Algo Trading Welcome to Day 4! In our “100 Days of Hell with Python Algorithmic Trading” journey, today we will talk about Python List, which is a very important and flexible data structure. It plays a special role in quantitative trading and algorithmic

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Pandas Time Series Data In Python: A Guide to Resampling

Time series data is omnipresent in fields ranging from finance to engineering, often necessitating a change in the frequency of data points to suit analysis needs. Pandas, a powerful Python data manipulation library, provides a suite of functions ideal for this task. In this article, we’ll delve into resampling methods that condense or expand our

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Unveiling the Obelisk Ichimoku ZEMA Strategy | Backtesting & Hyperoptimization for Algorithmic Trading

In the world of algorithmic trading with Python, traders continuously seek high-performance crypto trading strategies that maximize profits and minimize risks. One such quantitative analysis approach is the Obelisk Ichimoku ZEMA strategy, a combination of Ichimoku Cloud, Zero Lag Exponential Moving Average (ZEMA), and trend-following indicators. This blog will guide quantitative traders in the USA

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Freqtrade Guide for Beginners: How to Configure Freqtrade for Algorithmic Trading

Building an AI-Powered Trading Bot on AWS Ubuntu Server: A Step-by-Step Guide Introduction In this tutorial, we will guide you through the process of “How to setup freqtrade AI crypto trading bot” on an Ubuntu virtual server hosted on AWS, you can even setup on your localhost also. From securing your server to configuring the

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