Fresh prompt pack
A pack for checking whether a trading bot backtest is robust enough to move toward paper trading or live execution.
Scores whether a trading bot backtest is ready for deeper validation or still looks like a curve-fit demo.
Checks whether a backtest accidentally used information that would not have existed at decision time.
Adds real execution costs to a backtest so perfect fills do not hide a fragile strategy.
Prevents users from trusting a high Sharpe, win rate, or profit curve built on too few trades.
Turns a single backtest into rolling in-sample and out-of-sample windows.
Tests whether the strategy survives shuffled trades, losing streaks, and bad sequencing.
Checks whether performance depends on one lucky parameter setting instead of a robust zone.
Tests whether a bot survives different volatility, trend, liquidity, and correlation regimes.
Creates objective rules for moving from backtest to paper trading, then to small live size.
Checks whether the backtest universe quietly excluded assets that failed, delisted, or became untradeable.
Defines when a bot should reduce size, stop trading, or require human review after deployment.
Includes pack title, description, subcategories, prompt IDs, difficulty, and prompt text.