Crypto Perpetual Contract Pair Trading
Statistical arbitrage is a classic quantitative trading strategy, and pairs trading is one of them. Digital currency perpetual contracts are ...
Heston Model: Options Pricing, Python Implementation and Parameters
The Heston option pricing model, also known as the Heston model, aims to enhance the Black-Scholes model, which made unrealistic ...
Kalman Filter Python: Tutorial and Strategies
The Kalman filter, developed by Rudolf Kalman in the 1960s, is a powerful mathematical tool used for estimating the state ...
Portfolio Management Of Multiple Strategies Using Python
In today’s dynamic financial landscape, effective portfolio management is paramount for investors seeking to optimise returns while managing risk. Harnessing ...
Fibonacci Retracement: Trading Strategy, Python implementation, and more
Fibonacci trading tools are used to determine support/resistance levels or to identify price targets. It is the presence of the ...
Top algo-trading courses after MBA Finance
Now that you’ve conquered the MBA in finance, a testament to your dedication and financial acumen, you might be wondering: ...
Long-Short Equity Strategy: A Comprehensive Guide
The long short equity strategy involves taking both long and short positions in various equities, a tactic commonly utilised by ...
Covered Call Strategy Using Machine Learning
A covered call is used by an investor to make some small gain while holding the stock. Mostly the reason ...
Build a custom backtester with Python – AlgoTrading101 Blog
Getting started In this article, we will be creating a simple skeleton of a custom Python backtester that should have ...
RAPIDS Libraries for Trading | Nvidia | GPU-based | Python
Don’t be deceived by the past. In the rapidly evolving domains of data science and financial machine learning, quicker calculations ...
Momentum Trading: Types, Strategies, and More
Momentum trading, a popular approach in short-term trading, revolves around spotting changing asset prices and capitalising on these changes by ...
Price Action Trading: Strategies, Algo Trading and Python
Price action trading stands as a time-honoured methodology cherished within the thriving trading community. Both individual traders and institutional investors ...
Standard Deviation in Trading: Calculations, Use Cases, Examples and more
Whether you’re a seasoned trader or just starting in quantitative finance, grasping the concept of standard deviation is crucial. Standard ...
Risk Management in Trading: Everything that you should know
In trading, risk is inherent, as factors such as inflation, natural disasters, political instability, conflicts, etc. can impact financial markets ...
AI-Powered Trading Workshop | Register for Free Now!
About the Workshop In this dynamic era of technological innovation, where Artificial Intelligence reshapes industries at an unprecedented pace, the ...
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 ...
