Algorithm Trading

Machine Learning Logistic Regression: Python, Trading and more

Imagine a world where you can predict market movements with uncanny accuracy, where gut feelings give way to data-driven insights, ...

OpenBB Platform – A Complete Guide – AlgoTrading101 Blog

What is the OpenBB Platform? The OpenBB Platform is an open-source modular financial analysis ecosystem. It integrates with close to ...

Time Series and LSTM Models | Comparison | Stock Price Prediction

This project is about comparative study of time-series analysis techniques and ML techniques from the perspective of Stock/Index price prediction ...

Implied Volatility: Formula, Options, Python, Calculations and more

Have you ever wondered how to gauge the market’s anticipation of volatility? Is there a method to predict future volatility, ...

Hierarchical Clustering in Python: A Comprehensive Implementation Guide

Hierarchical clustering is a powerful technique in the realm of data analysis and pattern recognition, offering a nuanced understanding of ...

Seasonality Trading: A Beginners Guide

Seasonality is a fascinating phenomenon in the world of stock trading. It refers to the predictable patterns and trends that ...

Parabolic SAR: Formula, Calculation, and Python Code

In the dynamic realm of financial markets, technical analysis plays a pivotal role in guiding trading decisions and unravelling market ...

Directional Change in Trading: Indicators, Python Coding, and HMM Strategies

Usually, regime detection is made with an HMM estimation over price returns or price return volatility. However, Chen and Tsang ...

Johansen Cointegration Test: Learn How to Implement it in Python

Updated by Chainika Thakar (Originally written by Devang Singh) Time series data is a unique and invaluable form of data ...

Decoding Volatility: Your Options Trading Edge | Webinar

About Session This is your opportunity to acquire a comprehensive understanding of volatility in the options trading world. The primary ...

Mastering Python Linters: A Guide for Developers – AlgoTrading101 Blog

What types of Python linters exist? Types of Python linters can be categorized into two groups which are Code formatting ...

LEAN Engine (on AWS) and Interactive Brokers Guide – AlgoTrading101 Blog

How to get started with the LEAN Engine and AWS? To get started with the LEAN Engine, we will need ...

Top 10 Blogs on Algorithmic Trading | 2023

By Aiman Mulla Leveraging algorithms to facilitate trading actions, Algorithmic Trading is an approach that employs models trained to analyse ...

Proprietary Trading Explained: Definitions, Strategies and Career Opportunities!

By Chainika Thakar In the fast-paced world of finance, where markets ebb and flow with the speed of information, proprietary ...

Bollinger Bands Explained: Trading Strategy, Formula, Calculation and More

By Chainika Thakar and Rekhit Pachanekar Bollinger Bands, a widely acclaimed technical analysis tool, has become an indispensable asset for ...

Python in Excel – PyXLL vs Microsoft – AlgoTrading101 Blog

What tools can I use to have Python in Excel? Python in Excel tools vary and the two most popular ...

Vector AutoRegression (VaR) models | Time Series | Python | R

By José Carlos Gonzáles Tanaka Whenever you want to estimate a model for multiple time series, the Vector Autoregression (VAR) ...

Options Trading for Indices: Complete Guide for Indian Markets

By Chainika Thakar In the ever-evolving financial landscape, options trading stands as a dynamic strategy, and index options have gained ...

AutoRegressive Moving Average (ARMA) models: Using R

By José Carlos Gonzáles Tanaka In the AutoRegressive Moving Average (ARMA) models: A Comprehensive Guide of my ARMA article series, ...

Bullish candlestick pattern – A Beginners Guide

By Chainika Thakar Welcome to our beginner’s guide on bullish candlestick patterns – the key to unlocking market trends and ...

Interactive Brokers Live Algo Trading with QuantConnect – AlgoTrading101 Blog

How to get started with Interactive Brokers and QuantConnect? To get started with Interactive Brokers and QuantConnect, you will need ...

Crypto Basics: Trading, Investments, Blockchain, Backup, Future and More

By Chainika Thakar Cryptocurrency is digital money that uses advanced security techniques for safe transactions and is not controlled by ...

K-Nearest Neighbors Algorithm: Steps to Implement in Python

By Chainika Thakar & Vibhu Singh Machine Learning (ML) has emerged as a powerful tool in the field of Artificial ...

AutoRegressive Moving Average (ARMA) models: A Comprehensive Guide

By José Carlos Gonzáles Tanaka ARMA model are one of the most powerful econometric models for trading. Here you will ...
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