
We run three paper-traded strategies against each other — Ignition (momentum), Phoenix (mean-reversion), and Boost (attention arbitrage) — and publish every signal with its 1-hour and 24-hour returns. Here's where the scoreboard stands, with no cherry-picking:
| Strategy | Resolved | Avg 24h | Hit +50% |
|---|---|---|---|
| Boost | 42 | −36.2% | 4 |
| Ignition | 23 | −44.3% | 3 |
| Phoenix | 2 | −63.7% | 0 |
Read that table the honest way: Boost "leads" only in the sense that it loses the least. Four of its 42 signals cleared +50% within 24 hours, versus three for Ignition and none for Phoenix — and Phoenix has just two resolved signals, far too few to judge anything. No strategy has a positive average. None is anywhere near proven.
Three patterns are emerging, and all three argue for caution, not confidence:
1. The first hour decides almost everything. Median 1h return −6.8%; by 24 hours the average is −45.9%. Whatever edge exists in these signals evaporates fast — which is why the bots run 1-hour fast exits instead of hoping.
2. Winners are rare but real. Sixteen percent of signals cleared +20% within an hour. That's not zero — it's the entire reason the experiment continues. The question is whether disciplined exits can harvest enough of them to beat the other 84%.
3. Everything is still paper for a reason. A track record with three negative averages is not a sales pitch. It's a lab notebook. The bake-off exists so that if one strategy ever does separate from the pack, the proof will be public from day one — not manufactured after the fact.
The scoreboard updates every scan. If the numbers ever turn green, you'll see it here first — along with everything that came before it.
Every signal, every resolution, every ugly average — on the public dashboard.
Open Nova Trader →