Education Articles
Foundational articles on backtesting, algorithmic trading, candlestick patterns, risk management, and core trading concepts.
Paper Trading vs Backtesting: Which Comes First?
Understand when to backtest and when to paper trade, and how each validation step reduces risk before live capital.
Best Backtesting Practices for Reliable Results
Follow these proven backtesting practices to build strategies that are robust, realistic, and ready for live trading.
Stock Backtesting: Validating Equity Strategies with Realistic Data
Learn how to backtest stock strategies using clean data, survivorship-bias-free datasets, and realistic costs for reliable results.
Backtesting Data Quality: Avoiding Survivorship, Lookahead, and Stale Price Bias
Learn how clean, bias-free data is the foundation of any reliable backtest.
How to Build a Winning Trading Plan
A complete trading plan covers goals, markets, timeframes, strategies, risk rules, and review routines.
Swing Trading vs Day Trading: Which Is Better?
Compare holding periods, time commitment, risk, and backtesting requirements for swing and day trading.
Quantitative Trading Strategies Explained
An introduction to quant trading, from data collection and signal generation to backtesting and execution.
Backtesting with Python: A Beginner's Guide
Learn how to backtest trading strategies with Python using vectorbt, pandas, and TA-Lib.
Slippage and Commission: Why They Can Make or Break a Backtest
Learn how transaction costs affect backtest results and how to model them accurately.
Sortino Ratio: A Better Measure of Risk-Adjusted Return
Learn why the Sortino ratio is often more useful than the Sharpe ratio for traders who care about downside risk.
Moving Averages Explained: SMA vs EMA
Understand the differences between simple and exponential moving averages and how to use them in trend-following and crossover strategies.
Essential Candlestick Patterns for Traders
A practical guide to reading candlestick patterns including doji, engulfing, hammer, and morning star formations.
Introduction to Algorithmic Trading
Discover what algorithmic trading is, why traders use it, and how to design, backtest, and deploy your first algo strategy.
Top 10 Backtesting Mistakes That Destroy Strategies
Avoid survivorship bias, lookahead bias, overfitting, and other common errors that make backtests unreliable.
Understanding Sharpe Ratio in Backtesting
A deep dive into risk-adjusted returns and why the Sharpe ratio is essential for evaluating trading strategy performance.