The author. 24,432 followers, account opened 2020-11-12, 3,291 lifetime tweets, bio: “Investing into the AI buildout. Head of AI / 10y Product Manager.” Long-form fundamental theses on AI infrastructure, photonics, NeoClouds and semiconductors. Top thesis names across the 60-day window: $SIVE / $SIVEF (Sivers Semiconductors AB, repeatedly thesis-built), $LITE (Lumentum), $NBIS (Nebius), $POET, $AAOI, $INTC, $SNDK, $AXTI, $MRVL, $AMD, $MU, $IQE, $ARM, $AEHR.
Signal shape. Author is openly long most names tweeted. The edge is directional thesis sourcing inside an AI-infrastructure universe, not a stock-picking arbitrage that would survive a regime change. Treat the feed as research input, not signal output.
| Sentiment | Horizon | n | Mean Ret | Median | Win Rate | Best | Worst | Alpha SPY | Alpha XLK |
|---|---|---|---|---|---|---|---|---|---|
| BULL | 5d | 193 | +5.54% | +4.13% | 66.32% | +84.59% | -39.76% | +4.24% | +2.13% |
| BULL | 14d | 125 | +25.22% | +18.64% | 87.20% | +93.76% | -24.77% | +21.16% | +13.67% |
| BULL | 30d | 5 | +19.67% | +12.62% | 80.00% | +57.44% | -7.56% | +7.56% | -7.73% |
| BEAR | 5d | 55 | +11.19% | +9.28% | 70.91% | +52.01% | -42.76% | +9.08% | +5.81% |
| BEAR | 14d | 49 | +24.12% | +20.83% | 85.71% | +183.08% | -5.89% | +19.86% | +12.74% |
| BEAR | 30d | 11 | +91.07% | +88.75% | 100.00% | +270.77% | +5.76% | +79.97% | +63.40% |
| NEUTRAL | 5d | 89 | +9.90% | +6.48% | 73.03% | +72.86% | -55.06% | +8.09% | +5.27% |
| NEUTRAL | 14d | 75 | +24.79% | +19.20% | 88.00% | +200.00% | -62.98% | +20.41% | +12.90% |
| NEUTRAL | 30d | 8 | +110.16% | +107.60% | 100.00% | +325.59% | +14.35% | +97.26% | +80.58% |
The headline read. The 14-day horizon is the cleanest sample (n=125 BULL signals). Mean return +25.22%, median +18.64%, win rate 87.2%, alpha vs the tech sector ETF (XLK) +13.67% and vs SPY +21.16%. This is best-in-class for AI-infrastructure thematic depth inside the sample window.
Note that the BEAR and NEUTRAL buckets also produced strong forward returns: most are ticker-mention tweets where the author was not making an explicit directional call. Inside an AI rally, just being early on the right names was enough.
| # | Ticker | Mentions | # | Ticker | Mentions |
|---|---|---|---|---|---|
| 1 | $SIVE | 88 | 11 | $LPKF | 18 |
| 2 | $SIVEF | 31 | 12 | $LPK | 17 |
| 3 | $LITE | 28 | 13 | $AMD | 16 |
| 4 | $INTC | 27 | 14 | $MU | 16 |
| 5 | $SNDK | 26 | 15 | $IQE | 16 |
| 6 | $NBIS | 25 | 16 | $ARM | 14 |
| 7 | $POET | 25 | 17 | $AEHR | 14 |
| 8 | $AAOI | 24 | 18 | $TRT | 14 |
| 9 | $AXTI | 20 | 19 | $COHR | 10 |
| 10 | $MRVL | 18 | 20 | $SOI | 10 |
The top thesis is $SIVE / $SIVEF (Sivers Semiconductors AB, Swedish indium-phosphide laser play) with 119 combined mentions over 60 days; this dominates the conviction surface but is excluded from the return table because yfinance does not resolve the cashtag for the Stockholm listing. The published edge therefore understates the thesis-quality signal — the most-repeated bull call is not in the numbers.
| Date | Ticker | Ret 30d | Tweet preview |
|---|---|---|---|
| 2026-04-02 | $AAOI | +57.44% | “Lightcounting is projecting $100B optical interconnects by 2030. That's 5x from here...” |
| 2026-04-02 | $TSEM | +25.80% | “Lightcounting is projecting $100B optical interconnects by 2030...” |
| 2026-04-03 | $SPY | +12.62% | “For the first time in the year Oil and $SPY are up...” |
| 2026-04-08 | $SPY | +10.06% | “$SPY Seems like tomorrow will hold and go up...” |
| 2026-04-05 | $ASTS | -7.56% | “$ASTS I've been following this stock for a while, solid fundamentals, Space X IPO as a catalyst...” |
Yes. 14-day BULL alpha vs XLK is +13.67% on n=125 (the largest, cleanest bucket). Win rate 87% is materially above coin-flip. The edge concentrates in AI-infrastructure / photonics / semis where the author writes long-form thesis posts.
Unknown. The entire 60-day sample falls inside the March-May 2026 AI rally (SPY +6%, XLK +12%). No bear-tape data in this run. Treat the +13.67% XLK alpha as an upper bound, not a forward expectation.
Not at this n. Only 5 BULL signals had a full 30-day forward window inside the sample; the BEAR 30d bucket (n=11, +91% mean) is a survivorship artefact of a few large winners. Use the 5-day and 14-day rows for sizing decisions; treat 30d as anecdotal.
$SIVE / $SIVEF (Sivers Semiconductors AB) with 119 combined mentions over 60 days. Excluded from the return table because the Stockholm listing does not resolve in the US pricing source — meaning the published alpha is conservative.
As a research feed, not a signal feed. Use Ren's thesis posts to discover names in AI infrastructure / photonics / semis you would otherwise miss, then do your own work. Sizing should be moderate, time-bounded (≤30d), and risk-controlled against the regime caveat.
Data source. User-timeline endpoint, original tweets only (replies and pure retweets excluded). 376 tweets across 60 days — the maximum the timeline endpoint surfaces for an account at this posting cadence.
Ticker extraction. $TICKER cashtag regex with a curated non-ticker stop-list (e.g. $AI, $US, $YTD removed).
Sentiment classifier. Regex keyword lexicon (BULL: bullish, buy, long, added, breakout, ATH, target, runner; BEAR: bearish, short, sell, sold, dump, dilution, scam). BULL/BEAR if count strictly dominates; otherwise NEUTRAL.
Backtest mechanics. Entry next trading day open (T+1). Exits at +5d / +14d / +30d / +90d close. No transaction costs / slippage. Multiple mentions of the same ticker on the same day produce separate signals (no deduplication) — this reflects a literal “follow every tweet” baseline.
Benchmarks. SPY (broad market) and XLK (tech sector). XLK is the more demanding benchmark since virtually all signals are in AI / semis. Alpha = signal return minus same-window benchmark return.
BULL signals returned +25.22% mean / 14d (n=125, WR 87%) with +13.67% alpha vs XLK and +21.16% vs SPY. Best-in-class for AI-infrastructure thematic depth inside the sample window.
The 60-day window is a single bullish AI tape. No bear-regime data. Treat the published alpha as an upper bound — size for the possibility that the regime change cuts the edge in half (or worse).
Research feed, not signal feed. Discover names through Ren's thesis posts, then size moderate and time-bounded (≤30d). The highest-conviction name ($SIVE) is excluded from the numbers — the published edge is conservative.
Report generated 2026-05-25 by the fxcryptobots research desk. Source: @Ren_aramb public X timeline (user-timeline endpoint, original tweets only); price data from Yahoo Finance daily bars. Sentiment classifier is regex-based and may under-count cryptic / short-tweet styles. Per-name returns are total return including dividends via auto-adjusted close. This is research and educational analysis, not investment advice; see our risk disclaimer.