Purely random buy/sell decisions. The ultimate null hypothesis benchmark. If your strategy can't beat this, it has no real edge.
Open the exact public contract, search variants locally, then decide only after the sealed holdout.
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The Random Benchmark strategy is inspired by a viral Reddit post on r/algotrading ('Randomness beats 85% of Retail Traders', 461 upvotes). It makes purely random buy and sell decisions, serving as the ultimate baseline. If a strategy cannot consistently beat randomness, it has no real statistical edge. Uses a fixed seed (2026) so results are reproducible across runs.
Every 12 ticks (~24 min), flips a coin: 35% chance to buy (if flat), 40% chance to sell (if in position). Uses 30% of capital per trade with a 5% stop loss.
No technical signals. Purely random decisions with a fixed seed for reproducibility.
Moderate
Perfect benchmark to evaluate if a strategy has a real edge. Impossible to overfit. Completely unbiased.
No intelligence whatsoever. No statistical edge. Expected performance: slightly negative (trading fees).
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