Author
@Yourpersonaltr1 Yourpersonaltr1
grade Bx.com/Yourpersonaltr1 ↗
Software/AI-supply-chain swing trader mapping earnings catalysts to laggard baskets via QNET rotation
Calls and recaps swing trades in software, cybersecurity, an
trader score
+0.58
hit rate
50%
mean α
+0.20%
signals 14d
106
Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.
Their picks, scored
Across their last 20 scored bets: 50% hit rate, +0.20% mean alpha, trader score +0.58. Their last-14d mentions, direction-adjusted, have moved +1.5% since posting (mean over 80 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-10-16 | CIBR | @Yourpersonaltr1 | -0.25 | Views software/cyber weakness as setting up a chip bounce and finds SANM/CAMT attractive. | +7.4% | tweet ↗ |
| 2026-10-16 | SANM | @Yourpersonaltr1 | +0.45 | Views software/cyber weakness as setting up a chip bounce and finds SANM/CAMT attractive. | -11.4% | tweet ↗ |
| 2026-10-16 | IGV | @Yourpersonaltr1 | -0.25 | Views software/cyber weakness as setting up a chip bounce and finds SANM/CAMT attractive. | +6.0% | tweet ↗ |
| 2026-10-16 | CAMT | @Yourpersonaltr1 | +0.45 | Views software/cyber weakness as setting up a chip bounce and finds SANM/CAMT attractive. | -6.4% | tweet ↗ |
| 2026-10-16 | SMH | @Yourpersonaltr1 | +0.35 | Views software/cyber weakness as setting up a chip bounce and finds SANM/CAMT attractive. | -2.3% | tweet ↗ |
| 2026-10-16 | SPY | @Yourpersonaltr1 | -0.35 | Calls the rebound low quality and notes prices returned to the prior day's lows. | -0.4% | tweet ↗ |
| 2026-10-16 | IGV | @Yourpersonaltr1 | -0.40 | Calls the rebound low quality and notes prices returned to the prior day's lows. | +6.0% | tweet ↗ |
| 2026-10-16 | QQQ | @Yourpersonaltr1 | -0.45 | Calls the rebound low quality and notes prices returned to the prior day's lows. | -0.8% | tweet ↗ |
| 2026-10-16 | AAPL | @Yourpersonaltr1 | -0.10 | Reports a 2% internet-index gain while four named components were negative. | +1.2% | tweet ↗ |
| 2026-10-16 | BABA | @Yourpersonaltr1 | -0.10 | Reports a 2% internet-index gain while four named components were negative. | -8.7% | tweet ↗ |
| 2026-10-16 | META | @Yourpersonaltr1 | -0.10 | Reports a 2% internet-index gain while four named components were negative. | -9.4% | tweet ↗ |
| 2026-10-16 | OKTA | @Yourpersonaltr1 | -0.10 | Reports a 2% internet-index gain while four named components were negative. | +13.8% | tweet ↗ |
| 2026-10-15 | IWM | @Yourpersonaltr1 | -0.10 | Dismisses the rebound as likely driven by heavily shorted names. | +0.2% | tweet ↗ |
| 2026-10-15 | SPY | @Yourpersonaltr1 | -0.10 | Dismisses the rebound as likely driven by heavily shorted names. | -1.5% | tweet ↗ |
| 2026-10-15 | QQQ | @Yourpersonaltr1 | -0.10 | Dismisses the rebound as likely driven by heavily shorted names. | -3.2% | tweet ↗ |
Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.