Public quantitative lab
Can an AI model beat the Nasdaq-100?
RLTW is a public experiment: we build a Nasdaq-100 portfolio with machine learning, momentum, fundamental quality and risk rules, then compare it over time with QQQ and an active momentum benchmark.
No promises. Public rules, stated costs, measurable results.
Start with the theoretical test
Walk-forward backtest: €10,000 from 2 January 2025 becomes...
QQQ
~€13,890
+39%
Passive benchmark
Buy and hold the Nasdaq-100 over the same period.
MC
~€41,720
+317%
Max DD −40%
Top 10. Friday close → Monday open. Official rules, 0.19% fees.
EMC
~€51,120
+411%
Max DD −37%
Tighter MC: Top 8, 60% Stage 2 + 40% last 4 weeks. Same calendar as MC.
RLTW v3
~€33,300
+233%
Max DD −23%
Top 8 ML. Trade when the Wizard / check-up says so.
Simulation from €10,000 on 2 January 2025, same 0.19% costs. The live book is a separate account: it starts later, from 10,000 USD, and can be up or down.See live ->
Step 2 · Who is performing now
Live track record, separate from the backtest
Each live book starts at $10,000. RLTW, MC and QQQ from 25 August 2026; EMC from 31 August 2026. A weak live period is part of the test: decisions are recorded before outcomes.
Start from basics
Nasdaq, QQQ, momentum, risk and backtests
Learn how to read return, drawdown, costs and the difference between simulation and live evidence.
Live composition
RLTW and corrected MomentumCommand holdings
Read the current public experiment book and the active momentum benchmark side by side.