@institLPGP institLPGP
Anon AI-hardware PM threading model-architecture shifts into memory/WFE/neocloud supply-demand calls
Builds and trades a concentrated, interlinked AI-infrastruct
Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY. · Analyst brief as of 2026-06-22.
Across their last 20 scored bets: 35% hit rate, -1.56% mean alpha, trader score -1.48. Their last-14d mentions, direction-adjusted, have moved -5.7% since posting (mean over 72 mentions with price data).
Author is most visibly long NBIS, CENX, ACMR, and still owns NVDA while arguing Nvidia needs an open-source/cloud strategy to protect GPU economics. Distinctive read is that Nebius is a strategic open-source AI infrastructure asset, CENX is a mispriced aluminum supply-cost curve play, and ACMR has a China memory/listing-arb catalyst. Late window added a fresh ACMR Hong Kong listing catalyst and remained strongly bullish NBIS after earlier trimming AI exposure for cash.
Conviction is concentrated in NBIS, CENX, and ACMR, with explicit CENX adds and repeated NBIS long disclosures. He remains an NVDA holder but frames it as strategically vulnerable unless it secures cloud and open-source distribution. Pump-risk is highest in single-name themes CENX and ACMR, while the AI infrastructure theme is mixed because NBIS/NVDA upside is paired with warnings on Nvidia pricing power and hyperscaler capture.
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-07-02 | MU | @institLPGP | -0.55 | Author argues Apple's China memory lobbying and MU donation signal political pressure to raise capacity and drop prices. | — | tweet ↗ |
| 2026-07-02 | AAPL | @institLPGP | +0.00 | Author argues Apple's China memory lobbying and MU donation signal political pressure to raise capacity and drop prices. | — | tweet ↗ |
| 2026-07-01 | · | @institLPGP | · | Says DRAM should be fine for 12 months if GPU demand supports margins. | · | tweet ↗ |
| 2026-07-01 | AMD | @institLPGP | +0.20 | Thesis that capex persists as GPU rental/buying improves FCF and creates arbitrage. | -4.3% | tweet ↗ |
| 2026-07-01 | NVDA | @institLPGP | +0.20 | Thesis that capex persists as GPU rental/buying improves FCF and creates arbitrage. | -1.4% | tweet ↗ |
| 2026-07-01 | NVDA | @institLPGP | -0.40 | Discloses portfolio rotation: new AVGO/META, out of NVDA into DRAM, sold ACMR, cash 12%. | -1.4% | tweet ↗ |
| 2026-07-01 | DRAM | @institLPGP | +0.50 | Discloses portfolio rotation: new AVGO/META, out of NVDA into DRAM, sold ACMR, cash 12%. | · | tweet ↗ |
| 2026-07-01 | ACMR | @institLPGP | -0.20 | Discloses portfolio rotation: new AVGO/META, out of NVDA into DRAM, sold ACMR, cash 12%. | -16.6% | tweet ↗ |
| 2026-07-01 | META | @institLPGP | +0.50 | Discloses portfolio rotation: new AVGO/META, out of NVDA into DRAM, sold ACMR, cash 12%. | -4.9% | tweet ↗ |
| 2026-07-01 | AVGO | @institLPGP | +0.50 | Discloses portfolio rotation: new AVGO/META, out of NVDA into DRAM, sold ACMR, cash 12%. | -2.4% | tweet ↗ |
| 2026-07-01 | META | @institLPGP | +0.65 | Says he added 12% after META signal and views it as a big inflection. | -4.9% | tweet ↗ |
| 2026-07-01 | DRAM | @institLPGP | +0.65 | adding DRAM and META here — Author adds DRAM and META on GPU/cloud arbitrage thesis and compute bullishness. | · | tweet ↗ |
| 2026-07-01 | META | @institLPGP | +0.80 | adding DRAM and META here — Author adds DRAM and META on GPU/cloud arbitrage thesis and compute bullishness. | -4.9% | tweet ↗ |
| 2026-07-01 | META | @institLPGP | +0.35 | Strategic view that Meta pivots back to open models despite compute pricing concerns. | -4.9% | tweet ↗ |
| 2026-07-01 | META | @institLPGP | +0.75 | Author says it is very bullish Meta and points to open-source pivot strategy. | -4.9% | 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.