We found 10 articles by this author...
Ishan Shah
Ishan Shah leads the Research and Content team at Quantra, where he specializes in statistical arbitrage and systematic trading. His prior experience includes working with Barclays in their Global Markets team and as a Senior Technology Associate at Bank of America Merrill Lynch. Ishan holds a PGDBM from the Sydenham Institute of Management and a B.E. in IT from D. J. Sanghvi College of Engineering.
Reinforcement Learning in Trading
Learn how reinforcement learning is applied in stock trading with Q-learning, experience replay, and advanced techniques. Explore its edge over traditional ML in building trading strategies....
9 min read
How to install Ta-Lib in Python
Learn how to install Ta-Lib in Python using Anaconda and pip on Windows, Mac, and Linux. Explore technical indicators with Python Ta-Lib, including ADX, RSI and Bollinger Bands, with examples....
11 min read
Stock Market Data: Obtaining Data, Visualization & Analysis in Python
How to obtain, visualise, and analyse stock market data using Python? Find it all and enhance your trading strategies with practical coding examples and detailed guides in this blog....
13 min read
Fibonacci Retracement: Trading Strategy, Python implementation, and more
Get to know all about Fibonacci retracement trading strategy in Python. Master the art of identifying potential price reversal levels using Fibonacci ratios for informed trading decisions. This blog makes for a beginner-friendly guide with everything included from basics to advanced....
9 min read
Long-Short Equity Strategy: A Comprehensive Guide
Long Short Equity Strategy – a dynamic trading approach that aims to capitalise on both rising and falling markets. Find out more about this trading strategy, its principles and implementation for portfolio management....
18 min read
Quantitative Value Investing Strategy in Python
Unlock the trading success with Quantitative Value Investing Strategy in Python. With this strategy, you can identify undervalued as well as overvalued assets and make informed investment decisions. So, dive in and find out more with this informative blog!...
14 min read
Introduction to XGBoost in Python
Unlock the power of XGBoost in Python with our beginner-friendly guide. Learn the fundamentals, interpret models, and explore its application in trading. Discover how to overcome challenges and enhance your trading strategies with this versatile machine learning algorithm....
17 min read
Gold Price Prediction: Step By Step Guide Using Python Machine Learning
A guide about Gold price using prediction using machine learning in Python. Learn about defining the variables to create a linear regression model, and eventually predicting the Gold ETF prices....
11 min read
Beginner's Guide to Statistics and Probability Distribution
The article on basic statistics goes through basic concepts such as mean, mode, median, range as well as probability distributions which are used for strategy analysis....
13 min read
Cross Validation In Machine Learning Trading Models
After reading this, you will be able to determine if your model is good in predicting which signal and performance of model in different stress scenarios...
11 min read