Author
@ramahluwalia ramahluwalia
grade Ax.com/ramahluwalia ↗
Fund principal weaving AI-capex theses with quality-vs-junk factor rotation
Original-research PM publishing tickered, reasoned long thes
trader score
+0.80
hit rate
50%
mean α
+0.32%
signals 14d
57
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, +0.32% mean alpha, trader score +0.80. Their last-14d mentions, direction-adjusted, have moved -5.4% since posting (mean over 28 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-10-16 | META | @ramahluwalia | -0.20 | Criticizes Meta's one-account model restriction despite praising its reasoning and coding models. | -9.4% | tweet ↗ |
| 2026-10-16 | · | @ramahluwalia | · | Describes a general investment framework of buying non-consensus ideas and selling into momentum. | · | tweet ↗ |
| 2026-10-16 | · | @ramahluwalia | · | Advocates buying non-consensus assets and selling into momentum. | · | tweet ↗ |
| 2026-10-15 | · | @ramahluwalia | · | States that an unspecified liquidation marked a local market low. | · | tweet ↗ |
| 2026-10-15 | · | @ramahluwalia | · | Rejects the bubble thesis and suggests markets remain on an exponential trajectory. | · | tweet ↗ |
| 2026-10-15 | · | @ramahluwalia | · | Forecasts AI avatars transforming news, podcasts, entertainment, and professional services. | · | tweet ↗ |
| 2026-10-15 | · | @ramahluwalia | · | Argues agentic AI will replace software-led workflows and disrupt white-collar service industries. | · | tweet ↗ |
| 2026-10-15 | AMAT | @ramahluwalia | +0.70 | Calls Applied Materials a bargain leveraged to memory infrastructure and discloses ownership. | -12.3% | tweet ↗ |
| 2026-10-15 | · | @ramahluwalia | · | Calls a top in the 10-year yield and notes a sharp rally in rate-sensitive equities. | · | tweet ↗ |
| 2026-10-14 | SOXX | @ramahluwalia | +0.60 | Says semiconductors are the obvious beneficiary and should be overweight. | -7.9% | tweet ↗ |
| 2026-10-14 | · | @ramahluwalia | · | Predicts AI agents will displace low-tech accountants while augmenting technology-forward firms. | · | tweet ↗ |
| 2026-10-14 | · | @ramahluwalia | · | Declares a fast AI takeoff regime with near-term labor substitution and enterprise-wide agent adoption. | · | tweet ↗ |
| 2026-10-14 | TLT | @ramahluwalia | +0.65 | Buy rate-sensitive bonds and stocks now offering attractive yields. — Explicitly recommends buying rate-sensitive assets after a capitulatory selloff. | +3.1% | tweet ↗ |
| 2026-10-14 | MUB | @ramahluwalia | +0.65 | Buy rate-sensitive bonds and stocks now offering attractive yields. — Explicitly recommends buying rate-sensitive assets after a capitulatory selloff. | · | tweet ↗ |
| 2026-10-14 | BAC | @ramahluwalia | +0.65 | Buy rate-sensitive bonds and stocks now offering attractive yields. — Explicitly recommends buying rate-sensitive assets after a capitulatory selloff. | -1.6% | 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.