I wasn’t planning to build an algo model. But I accidentally found something interesting while backtesting. And the numbers surprised me. So of course… I went deeper. The idea started as a simple observation in $NQ futures. A very specific time-based behavior that kept repeating in the data. At first I assumed it was just noise. So I tested it. Backtest range: Jan 1, 2020 → Today Results: • 1410 trades • 77.9% win rate • Max portfolio drawdown $1,880 At that point I still assumed: “Probably curve-fit.” So I did the only thing that actually matters. I built a fully mechanical strategy in Pine Script and tested it again. Same logic. Same rules. No discretion. AND THE EDGE STILL HELD. — The model is extremely simple. Every day at exactly 2:00am New York time the system gives one trade on Nasdaq. No prediction. No analysis. No chart watching. Just: Long or Short. — Execution rules: • 1 micro contract (MNQ) • TP: $300 (150 points) • SL: $300 If price reaches +$250 I move stop to +$200 locked profit So the outcome becomes: • +$300 win • +$200 secured profit • -$300 loss — Backtests are one thing. Markets are another. So I started forward testing the system live. A dedicated prop firm evaluation account LUCID running the model exactly as designed. No overrides. No discretion. Just execution. — Day 1 of forward testing (today) +$300 System followed exactly. Goal of this experiment: Can a simple mechanical model pass a $50k prop firm evaluation trading one trade per day? Every day. 2:00am New York time. The indicator decides. — I’ll be posting results publicly. Wins. Losses. Drawdowns. Everything. Because most traders don’t fail because their strategy is bad… They fail because their execution is inconsistent. This experiment removes that excuse. — Let’s see if the edge survives real markets. Would you trust a system that trades once per day at the exact same time? #AlgoTrading #FuturesTrading
