Blog
Research, guides, and honest analysis from the Quantinger team.
Introducing Quantinger: A Research Platform for Serious Crypto Traders
Quantinger is a no-code crypto research platform with institutional-grade backtesting, walk-forward analysis, and an AI analyst. Here's what it does, why we built it, and who it's for.
The Monte Carlo Test: What Your Strategy Looks Like in the Worst Case
A single equity curve tells you what happened in one scenario. Monte Carlo simulation tells you the range of what could happen. The 5th percentile is the number that should keep you up at night — and the one that determines your position size.
Understanding Slippage: Why Your Live Trades Never Match Your Backtest
Slippage is the gap between the price you expected and the price you got. In volatile markets, it can be the difference between a profitable strategy and a losing one. Here's how to model it correctly.
How to Size a Crypto Position Without Blowing Your Account
Position sizing is the single most important risk decision you make. It determines whether a drawdown is survivable or account-ending. Here's the math behind getting it right.
Walk-Forward Analysis: The Only Backtest That Actually Means Something
A standard backtest on historical data is not evidence of edge. Walk-forward analysis is. Here's how it works, why it catches overfitting that standard backtests miss, and how to read the output.
Why Backtesting Lies: The 3 Biases That Inflate Every Strategy's Results
Look-ahead bias, survivorship bias, and overfitting are the three most common reasons a profitable backtest turns into a losing live strategy. Here's how each one works and how to avoid it.