The Algomaya Blog
Free, in-depth guides on algorithmic trading, paper trading, backtesting, and US markets — written for beginners who want to actually understand what they're doing.
171 articles published
Introduction to Quantitative Finance
What is quantitative finance, how does it differ from traditional investing, and why should every algo trader understand it?
Understanding Market Volatility
A deep dive into what causes market volatility and how algorithmic traders can measure, adapt to, and profit from it.
5 Common Mistakes Beginner Algo Traders Make
Avoid these critical pitfalls that cost new algorithmic traders time, money, and confidence.
Algo Trading in India: The Complete Regulatory Guide
Everything you need to know about SEBI regulations, broker requirements, and legal compliance for algorithmic trading in India.
Intraday vs Swing Trading: Which Is Right for You?
Two popular trading styles with very different requirements. Understand the trade-offs to choose the right approach for your situation.
Moving Averages: SMA vs EMA — The Complete Guide
A practical deep-dive into simple and exponential moving averages — how they work, when to use each, and how to build crossover strategies.
How to Build a Watchlist That Actually Works
Most traders have bloated watchlists with 50+ stocks they never actually trade. Here's how to build a focused, actionable watchlist.
What is Sharpe Ratio? The Complete Guide
The Sharpe Ratio is the single most important metric for evaluating any trading strategy. Here's how to calculate, interpret, and use it.
Backtesting Best Practices: How to Test Without Fooling Yourself
Backtesting is the foundation of algorithmic trading — but done wrong, it gives you false confidence. Here's how to do it right.
Building Your First Trading Journal
The most successful traders all have one thing in common: they keep detailed trading journals. Here's how to start yours.
Mean Reversion Strategies Explained
When prices deviate from their average, they tend to snap back. Learn how to profit from this fundamental market behavior.
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