FranΓ§ais| Sector | Profitable calls | Avg gain / call | Calls |
|---|---|---|---|
| Information Technology | 60.5% | +32% | 86 |
| Consumer Discretionary | 50% | +27% | 14 |
| Stock | Profitable calls | Avg gain / call | Calls |
|---|---|---|---|
| Nvidia (NVDA) | 100% | +93% | 10 |
| Advanced Micro Devices (AMD) | 100% | +88% | 6 |
| Applied Materials (AMAT) | 71.4% | +26% | 7 |
| Lumentum (LITE) | 50% | +26% | 6 |
| Teradyne (TER) | 37.5% | +15% | 8 |
| Western Digital (WDC) | 46.2% | +13% | 13 |
| Akamai Technologies (AKAM) | 28.6% | +9% | 7 |
| Marvell Technology (MRVL) | 42.9% | +4% | 7 |
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In short β Over 1 year, 58.9% of Craig-Hallum's targets turned out profitable, for an average gain of +32% per call (i.e. +9% vs its sector), across 112 timestamped calls replayed against real prices. JPI verdict: fairly reliable. An analyst can be good in one sector and poor in another β details below.
Ses secteurs les plus fiables : Information Technology (60.5% profitables, +32% / call), Consumer Discretionary (50% profitables, +27% / call).
112 timestamped Craig-Hallum targets were replayed against real prices over 1 year β the basis for the 58.9% profitable-calls figure.
JPI Invest aggregates analyst recommendations across the entire S&P 500 (plus the S&P MidCap 400), replays them against real prices and measures who predicts best β on results, not reputation. Instead of taking a price target at face value, you see each analyst's track record on each stock.
Explore JPI Invest for free β How it works: the method β
β οΈ Educational, not advice. Β« Reliability Β» = past targets replayed against real prices (point-in-time). Past performance does not predict the future.