We found 153 articles by this author...
Chainika Thakar
Chainika Bahl Thakar is a Content Specialist at QuantInsti with over five years of experience in writing technical content for algorithmic trading and financial markets. With a background in economics from Panjab University, she specializes in SEO, content marketing, and Python-driven tutorials for tasks like data analysis and price prediction. Chainika bridges the gap between complex quant concepts and practical learning through clear, accessible content.
Bayesian Statistics in Finance: A Trader's Guide to Smarter Decisions
Explore how Bayesian statistics helps traders update beliefs, build adaptive models, and manage risk. Learn Bayes’ Theorem, Naive Bayes, Bayesian inference, and their applications in algorithmic trading and quantitative finance....
19 min read
Simple and Multiple Linear Regression in Algorithmic Trading: A Practical Guide for Quants
Explore how linear regression powers trading strategies in quantitative finance. Understand OLS, model assumptions, Python code for stock prediction, and real-world use cases for building and evaluating trading models....
23 min read
Beyond the Hype: What "Independent Events" REALLY Mean for Your Trades
Explore how statistically independent events help cut through market noise and shape reliable trading strategies. Understand independence, correlation, and cointegration with practical examples and algorithmic use cases....
18 min read
Walk-Forward Optimization (WFO): A Framework for More Reliable Backtesting
Learn how Walk-Forward Optimization (WFO) works, its limitations, and how to implement it for backtesting trading strategies. Enhance your strategy testing with a structured framework for more reliable results....
5 min read
Autoregression: Time Series, Models, Trading, Python and more
The autoregressive (AR) model is a key tool for time series forecasting in trading. This guide covers its formula, calculation, and step-by-step model building, including a Python implementation....
16 min read
Learn Momentum Trading Strategies with B3 and QuantInsti
Collaboration between B3 Educação and QuantInsti, offering a free course on momentum trading strategies using Python. Learn to analyse trends, backtest strategies, and enhance your trading skills. Enroll now on B3's Education Platform!...
2 min read
From Mechanical Engineering to Quantitative Trading: Artur Barreiros' Transformative Journey
Discover how Artur Barreiros, a 63-year-old Mechanical Engineering professor from Portugal, transitioned into quantitative trading with the help of EPAT and Quantra. A truly transformative journey....
4 min read
Trading using LLM: Generative AI & Sentiment Analysis in Finance
Explore how large language models (LLMs) like FinBERT and Whisper are transforming trading with sentiment analysis. Based on insights from Dr. Ernest Chan and Dr. Hamlet Medina, this blog uncovers how generative AI in finance enhances market prediction, strategy, and risk management....
15 min read
Reinforcement Learning in Finance: Resources and Expert Advice from Paul Bilokon
Discover expert resources on Reinforcement Learning in Finance, featuring insights and strategies from Dr. Paul Bilokon. Learn how RL is transforming trading with AI-driven solutions and practical tools....
14 min read
Learn Algorithmic Trading: Steps to Become an Algo Trading Professional
Through the step-by-step guidance in this blog, you will learn to become a professional in the algo trading field. You will learn about the required resources to equip yourself with the necessary skills to help you master algo trading roles....
12 min read