Recommendation Tracking

Would you have been richer following AlphaForgeReco?

Beyond your own portfolio, AlphaForgeReco grades its own recommendations honestly.

Every pick (from Daily Picks, Monthly Picks, the Morning Report or a Recommendation Run) is recorded with its rating, score, confidence, entry price and date. Outcomes are then measured after 1, 7, 14, 30, 60, 90, 180 and 365 days against a benchmark.

For each it computes: return %, benchmark return %, excess return (alpha), max gain, max drawdown, and hit-or-miss. For Sell/Avoid ratings it credits the avoided loss.

Aggregated, this answers the only question that matters: 'if I had followed AlphaForgeReco, would I be richer or poorer?' — with alpha by rating, by horizon and by source, plus best/worst pick and best horizon, and accuracy over time.

The 'would I have been richer?' simulation replays following the recommendations against historical prices versus a benchmark. All outcome math is deterministic; AI never computes returns.