BACKTESTING EDUCATION
Why Backtests Fail — And How to Avoid It 5 common traps that make backtests unreliable, and how to fix each one.
A backtest that shows 200% returns means nothing if the methodology is flawed. Here are the 5 most common reasons backtests fail in crypto — and how PRUVIQ is built to prevent them.
5 Common Reasons Backtests Fail
Look-Ahead Bias
Your strategy uses information that wasn't available at the time of the trade. For example, using a full day's high/low to make a decision at market open. This is the most common — and most dangerous — backtesting error.
HOW PRUVIQ ADDRESSES THIS
PRUVIQ uses strictly sequential data processing. Each candle is evaluated only with data available up to that point. Our team experienced significant losses from look-ahead bias firsthand — that's why we engineered the simulation engine to structurally prevent it.
Survivorship Bias
Testing only on coins that still exist today. Delisted coins (Luna, FTT, etc.) are excluded from your dataset, making results look artificially better. If your data only includes survivors, your backtest is lying.
HOW PRUVIQ ADDRESSES THIS
PRUVIQ includes delisted and dead coins in historical data. Your strategy gets tested on the full universe of coins that existed during the test period — not just the ones that survived.
Overfitting
Tweaking parameters until the backtest looks perfect on historical data, but the strategy fails on new data. A strategy with 20 optimized parameters probably won't work next month.
HOW PRUVIQ ADDRESSES THIS
PRUVIQ encourages out-of-sample testing by letting you run the same strategy across 230+ coins. If it only works on 3 coins, it's overfit. We also show Monte Carlo simulations to reveal how sensitive results are to randomness.
Ignoring Fees and Slippage
Many backtesting tools skip trading fees, funding rates, and slippage. A strategy that shows 15% returns before fees might actually lose money. On leveraged futures, funding fees alone can eat 5-10% annually.
HOW PRUVIQ ADDRESSES THIS
Every PRUVIQ simulation includes maker/taker fees, funding rates, and realistic slippage modeling. What you see is what you'd actually get — minus the surprises.
Market Regime Changes
A strategy that crushed it in a bull market may bleed in a sideways or bear market. Markets change regimes, and strategies that don't adapt will fail. Testing only on favorable periods hides this risk.
HOW PRUVIQ ADDRESSES THIS
PRUVIQ's 2+ year historical data spans multiple market cycles (bull, bear, consolidation). We also killed 88 strategies that worked in one regime but failed in others — and we show them publicly.
Our Proof: 88 Strategies We Killed
Most platforms only show winning strategies. We do the opposite — we publicly disclose every strategy that failed our testing criteria. Look-ahead bias, overfitting, poor risk-adjusted returns: if a strategy doesn't survive rigorous testing, we kill it and explain why.
This isn't marketing — it's methodology. The 88 strategies we've killed are just as important as the ones that survived. They show you what doesn't work, so you can focus on what does.
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Not financial advice. Crypto trading involves substantial risk of loss. Past performance does not guarantee future results. PRUVIQ is an educational and research project.