- Quantitative Trading
- Backtesting
We Tested 3.5 Million Crypto Strategies. Here Is What Actually Survived
Our GPU search found impressive backtests—and a locked holdout showed why most of them were noise.
Insights, estratégias e novidades do mundo de trading de criptos e bots automatizados.
Our GPU search found impressive backtests—and a locked holdout showed why most of them were noise.
Uma nota operacional mais profunda trazida para o topo da mesa.
Cada publicação aqui sai do mesmo processo: um teste documentado, um holdout bloqueado e o veredicto publicado, quer nos favoreça ou não.
Our GPU search found impressive backtests—and a locked holdout showed why most of them were noise.
Why a test period becomes unreliable the moment it influences strategy selection.
A practical explanation of multiple testing and the statistic that discounts lucky winners.
What our locked-holdout research found about RSI, MACD, Bollinger Bands, and price-derived signals.
How attractive historical results turn into fragile strategies—and the safeguards that expose them.
A beginner-friendly guide to perpetual funding rates, crowding, and cost-aware research.
What OFI measures, why it differs from a price indicator, and why a feature is not automatically a trade.
Our strongest result was a defensive overlay that reduced drawdowns across an 18-coin study.
A strategy can win often and still be uninvestable. Here is what to measure instead.
Research across bull, bear, and range conditions shows where strategies are defensive—and where they fail.
What a cross-regime test says about grid trading’s upside trade-off and drawdown behavior.
The real trade-off behind Donchian breakouts: smaller bear losses in exchange for bull lag and range whipsaws.