Summary of Day 4 and Day 15: Deep understanding of Lists and Error Handling in Python Python List: The Essential Data Structure for Quantitative TradersThe use of Python Lists is extremely important in algorithmic trading. Python Lists are a versatile data structure that can be used to store any type of data – be it […]
Mastering Error Handling in Python for Algorithmic Trading 17/100 Days Read More »
Day 15 Journey: Python File Handling and the Power of Algorithmic Trading Algorithmic Trading with Python: The Game-Changer of Modern TradingAlgorithmic trading i.e. automated trading is revolutionizing the financial world today. With the help of a simple but powerful programming language like Python, quantitative traders can create complex trading strategies. This technology makes trading faster,
Python File Handling for Algorithmic & Crypto Trading 15/100 Days Read More »
Day 9: Welcome to the world of Python OOP and Algo Trading Welcome to Day 9 of 100 Days of Hell with Python Algo Trading. It’s not an easy journey—waking up at 2 am every day to record a video and then leaving for office at 7 am. But the lesson lies in the struggle.
Object-Oriented Programming in Python for Algorithmic & Crypto Trading 9/100 Days Read More »
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
Python Functions for Algorithmic Trading & Crypto Strategies 7/100 Days Read More »
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
Python Tuples in Algorithmic Trading & Crypto Strategies 5/100 Days Read More »
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
Python Lists in Algorithmic Trading & Crypto Strategies 4/100 Days Read More »
Day 3: Python Strings – Basic Foundations for Algorithmic Trading Welcome to Day 3 of 100 Days of Hell with Python Algo Trading! Today we will be focusing on one of the most fundamental data types in Python – Strings. As the saying goes, “The devil is in the details”. Strong basics build a strong
Python Strings | 3/100 Days of Python Algo trading Read More »
Algorithmic Trading and Python: The Technology of the Future Algorithmic trading is rapidly transforming the financial markets. Automating trading strategies through Python has now become extremely beneficial for quantitative traders. In this session, we will not only learn Python Operators and Conditional Statements (If-Else) but also touch upon the tools used in Freqtrade Strategy, Crypto
Python Operators + if-else + Loops | 2/100 Days of Python Algo trading Read More »
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
Pandas Time Series Data In Python: A Guide to Resampling Read More »
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