The personality. @jukan05 is a 20-month-old account (joined Sep 2024), 120,209 verified followers, 16,277 lifetime tweets (~27 per day). Bio: “Tech otakus save the world | Not Investment Advice | DYODD.” The content is a continuous feed of Korean and English posts about memory pricing, foundry capacity, AI compute procurement, and packaging bottlenecks. No ticker calls, no buy/sell language, no portfolio screenshots.
Why the backtest is non-trivial. Because the posts are topic-level, you cannot just track cashtags — you have to classify each tweet by topic and map each topic to its natural ticker basket. We did that with a regex-based classifier validated on a 50-tweet sample (~92% agreement) and built a signal stream of 352 distinct topic events over 16 months, averaging ~22 signals per month.
| Topic | Mapped Tickers | Direction | n (60d) | Hypothesis |
|---|---|---|---|---|
| MEMORY_BULL | MU, WDC | LONG | 78 | Samsung HBM tight / DRAM allocated / SK Hynix HBM lead / NAND rally |
| MEMORY_BEAR | MU, WDC | SHORT | 30 | Memory cycle topping / NAND oversupply |
| TSMC_TIGHT | TSM, AMAT, LRCX | LONG | 105 | Foundry sold out / capacity push / 2nm node / EUV bottleneck |
| NVDA_BULL | NVDA, AVGO | LONG | 68 | Jensen / Colossus / Blackwell demand |
| AVGO_BULL | AVGO | LONG | 11 | Custom silicon / hyperscaler ASIC |
| AMD_BULL | AMD | LONG | 1 | MI300 / MI325 demand (single signal) |
| APPLE_WEAK | AAPL | SHORT | 1 | iPhone / supply softness (single signal) |
Entries: next RTH open after the signal tweet. Holds: 5 / 30 / 60 / 180 trading days. For each entry we record the ticker return, SPY, QQQ, SMH and the alpha against each. Because every mapped ticker sits inside the semiconductor sector, alpha vs SMH is the only honest benchmark — positive numbers there mean the topic call predicted outperformance against other semi names, not just against the broad market.
| Horizon | n | Mean Return | Mean SMH | Alpha vs SMH | WR (α > 0) | Alpha vs SPY | Alpha vs QQQ |
|---|---|---|---|---|---|---|---|
| 5-day | 352 | +2.61% | +1.61% | +1.00% | 55.7% | +2.09% | +2.03% |
| 30-day | 339 | +8.13% | +5.46% | +2.67% | 57.5% | +6.88% | +6.54% |
| 60-day | 294 | +11.92% | +6.10% | +5.82% | 56.5% | +10.90% | +10.71% |
| 180-day | 175 | +62.47% | +30.62% | +31.85% | 68.0% | +54.79% | +53.27% |
The signal needs time. Sector-control alpha grows with hold horizon.
5-day alpha is +1.00% vs SMH — right at the noise floor. The topic signal does not produce an immediate intraday-to-week pop. Move out to 30 days (+2.67%), 60 days (+5.82%), and 180 days (+31.85% with a 68% win rate). The supply-chain prediction takes weeks-to-months of earnings cycle, guidance updates, and sell-side estimate revisions to translate into a sector-relative repricing.
| Topic | n | Alpha vs SMH | WR | Read |
|---|---|---|---|---|
| MEMORY_BULL | 78 | +26.44% | 84.6% | canonical edge |
| AMD_BULL | 1 | +26.30% | 100.0% | n=1 anecdotal |
| TSMC_TIGHT | 105 | +2.44% | 56.2% | marginal positive |
| AVGO_BULL | 11 | −1.61% | 54.5% | noise — sample too small |
| NVDA_BULL | 68 | −1.65% | 35.3% | no edge / priced in |
| APPLE_WEAK | 1 | −4.89% | 0.0% | n=1 anecdotal |
| MEMORY_BEAR | 30 | −16.60% | 33.3% | inverted — fade it |
| Ticker | n | Alpha vs SMH | WR | Why |
|---|---|---|---|---|
| $AMD | 1 | +26.30% | 100.0% | n=1 (single AMD_BULL signal) |
| $WDC | 54 | +16.23% | 70.4% | Storage / NAND beneficiary of memory tightness |
| $MU | 54 | +12.73% | 70.4% | Direct DRAM/HBM pure-play; jukan05's clearest call |
| $LRCX | 35 | +4.76% | 54.3% | Memory etch / dep equipment; benefits from capex cycle |
| $AMAT | 35 | +2.77% | 62.9% | Foundry / memory capex cycle |
| $TSM | 35 | −0.22% | 51.4% | Coin flip — the TSMC topic is fully priced |
| $AVGO | 44 | −0.85% | 50.0% | Mega-cap, no edge in mentions |
| $NVDA | 35 | −2.64% | 22.9% | jukan05's NVDA mentions actually fade vs the sector |
| $AAPL | 1 | −4.89% | 0.0% | n=1 (single APPLE_WEAK signal) |
The headline number sounds huge. Most of it is sector beta.
An equal-weight basket of the seven most-mentioned jukan05 tickers (AMAT, AVGO, LRCX, MU, NVDA, TSM, WDC) returned +294.86% over 16 months versus QQQ +37.59%. That is the eye-catching framing — but the broader semis sector (SMH) returned +120.33% in the same window. Comparing a semis basket to broad NASDAQ measures mostly the sector rally, not the signal. The fair benchmark is SMH, and the honest excess is roughly +175 percentage points over SMH (~2.5× sector).
| Series | 16-Month Total Return | Note |
|---|---|---|
| jukan05 basket (EQ-weight, 7 names) | +294.86% | AMAT, AVGO, LRCX, MU, NVDA, TSM, WDC |
| SMH (semiconductor ETF) — fair benchmark | +120.33% | Honest excess: ~+175 pts (~2.5× sector) |
| NASDAQ-100 (QQQ) | +37.59% | Includes sector beta — flattering comparison |
| NASDAQ Composite (^IXIC) | +33.34% | Broad tech benchmark |
| S&P 500 (SPY) | +25.44% | Broad market benchmark |
| Ticker | 16-Month Return | Driving Theme |
|---|---|---|
| $WDC | +854.28% | Memory supercycle + spin-off rerate — largest driver |
| $MU | +589.14% | Canonical DRAM / HBM tightness thesis — second driver |
| $LRCX | +278.55% | Wafer-fab equipment (3D DRAM transition) |
| $AMAT | +126.87% | Memory + foundry capex |
| SMH (sector reference) | +120.33% | 5 of 7 names cluster around this line |
| $TSM | +87.99% | Foundry capacity / EUV bottleneck |
| $AVGO | +74.26% | Custom ASIC for hyperscalers |
| $NVDA | +52.95% | AI compute beta — smallest contribution despite biggest narrative |
The concentration fact, stated plainly. The two memory names (WDC + MU) carry the majority of the excess over SMH. Removing them, the remaining 5-name basket basically tracks SMH. This is not a “we got lucky on two names” story (the counterfactual section below shows why), but it is a “the canonical edge was the MEMORY theme, expressed through two memory-beneficiary tickers” story. Other topics (TSMC tight, NVDA bull, AVGO custom) rode the broader semi rally but added little on top.
The question. jukan05 never said “buy WDC” or “buy MU.” We mapped his “Samsung HBM tight” narrative to WDC + MU because they were the cleanest US-listed memory beneficiaries. Is the result robust to that choice, or did we get lucky on the picks?
The method. Keep the other 5 names (AMAT, AVGO, LRCX, NVDA, TSM — fixed-leg mean +124.12%) constant. Swap the memory pair for other plausible US-accessible memory or storage names. Re-compute the 7-name basket from Jan 18, 2025 to today.
| Memory pair | Pair mean | 7-name basket | Basket / SMH | Reading |
|---|---|---|---|---|
| SNDK + STX (NAND / storage) | +2363.59% | +763.97% | ~6.4× | would have beaten our pick |
| WDC + MU (our actual pick) | +721.71% | +294.86% | ~2.5× | our basket |
| INTC + MU (broader semi) | +519.81% | +237.18% | ~2.0× | still beats sector |
| SMH + SMH (passive, no name picking) | +120.33% | +123.04% | ~1.0× | no theme = no excess |
WDC + MU was not a lucky pick.
Any reasonable US-listed memory mapping during this window produced a basket that beat SMH by a wide margin. SanDisk + Seagate would have produced ~6.4× SMH. Intel + Micron ~2.0× SMH. The only mapping that failed to beat the sector was the passive one — i.e., NOT identifying that memory was the right theme.
What this means for the methodology. The skill jukan05 demonstrated was not “pick WDC vs MU.” It was “recognize and persistently signal that Korean memory was tightening ahead of consensus.” Once the theme is correctly identified, multiple reasonable ticker mappings capture the move. This is a stronger methodological story than “we happened to pick the two winners” — the edge is theme identification, not stock picking.
The caveat that follows. This does not mean any non-memory narrative will work the same way. MEMORY_BULL is the only topic with strong sector-controlled alpha in this 16-month sample. The forward portfolio rests on jukan05's ability to identify the next theme correctly. Our job is to map his fresh narratives to US tickers, but if the underlying themes don't pan out, no mapping will save it.
Signal #1 — Author self-awareness.
jukan05 himself recently wrote (paraphrased): “When I posted 100 bullish posts on memory, nobody said anything. But the moment I post just three cautious ones, people start saying 'jukan is bearish on memory now, we're done.'” This is the classic retail-saturation tell. When the audience is so heavily positioned that any neutral comment provokes panic, the easy money is already gone.
Signal #2 — Magnitude of move already delivered.
WDC +854% in 16 months. MU +589%. Korean DRAM export prices +498% YoY (May 2026 data). NAND +280% YoY. SSD +344% YoY. SanDisk has risen roughly 50× in 12 months. These are late-cycle confirmations, not early-cycle openings.
Signal #3 — Backtest decay.
Even within the historical sample, the most recent MEMORY_BULL signals produce smaller marginal moves because each new tweet adds less to a market that has already fully absorbed the thesis.
Signal #4 — The largest end-customer is designing AROUND memory.
NVIDIA is reportedly reducing system DDR memory in Vera platforms because memory costs have become an “excessive share” of bill-of-materials. When the largest end-customer in compute begins design optimizations away from a component, that component is no longer scarce in the long run.
Conclusion. The canonical memory edge is real and proven. The trade itself is now late in its lifecycle. Harvest the lesson (supply-chain narratives precede price moves), discard the position (the trade has run), and redeploy the methodology to themes that are not yet priced in.
| Theme | @jukan05 context (paraphrased) | US ticker | Evidence |
|---|---|---|---|
| Intel come-back (multi-catalyst) | “UBS: Rubin Ultra 4-chip uses Intel's EMIB-T. $INTC.” “DJT told Apple to use Intel.” “Intel threatening suppliers — won't supply CPUs unless they use 18A.” Plus Vera CPU challenger + SK Hynix EMIB partnership — five distinct DIRECT cashtags across separate catalysts. | INTC | DIRECT ×5 |
| Agentic AI CPU servers (reactive) | “$DELL has significant growth potential thanks to CPUs. Agentic AI CPU servers ... higher ASP.” But the tweet was written AFTER the stock had already moved on a Trump remark about Dell computers (“buy a Dell”) that was misinterpreted as a stock endorsement and pumped DELL 12% before fading. | DELL | DIRECT-reactive |
| PCB rally (NVIDIA AI) | “TTMI up in pre-market because PCB names rallied in China today; the reason is Morgan Stanley's analysis on NVIDIA's next-gen platform PCB content.” | TTMI | inference |
| Qualcomm ASIC | “Qualcomm provides ASIC services to ByteDance and Amazon. Anthropic could use Maia, but maybe Qualcomm builds the chip.” | QCOM | inference |
| Optical interconnects | “Breaking the Memory Wall: Optical Interconnects Emerge in GPU-HBM Packaging.” Decoupling GPU and HBM via optical fabric. | COHR | inference |
| WFE shift (3D DRAM) | “The moment DRAM Big Three transitions to 3D DRAM, DRAM will no longer require EUV, and that surplus EUV capacity could quickly shift to logic.” | LRCX, AMAT | inference |
| AMD Helios 2H26 | “AMD accelerating Helios rack-scale AI platform, full-scale mass production from 2H26.” | AMD | inference |
| AI compute power | “WSJ: Anthropic expected to turn profitable in Q2. AI's growth trajectory is insane, and this is not cash-burning growth.” (Implicit: persistent grid / power demand.) | CEG, VST | inference |
| CoreWeave AI infra | “GF Overseas — CoreWeave Initiation: Riding the AI Infrastructure Supercycle. Buy. US$162 target.” | CWAVE | analyst report |
Evidence legend (refined). DIRECT ×5 — cashtag + thesis posted BEFORE or INDEPENDENT of a price spike, across multiple catalysts (INTC = 17% top-conviction weight). DIRECT-reactive — cashtag + thesis posted DURING / AFTER a price spike caused by external news; informative but late-entry (DELL = 8%, downgraded from 18%). inference — our narrative-to-ticker mapping (8 names = 67%). analyst report — he forwarded a sell-side report without endorsing himself (CWAVE = 3%). Conviction weighting now reflects this distinction: DIRECT ×5 gets the heaviest sizing, DIRECT-reactive is sized as if it were inference, and the rest follow.
Why DELL was downgraded from 18% to 8%. jukan05's DELL post is a textbook DIRECT-reactive case: the stock had already pumped ~12% on a Trump remark about Dell computers (“you should buy a Dell”) that retail readers misinterpreted as a Dell stock endorsement. jukan05's tweet came AFTER that move, with a credible-but-secondary thesis about agentic AI CPU server ASP. The thesis is plausible; the entry timing is compromised. We keep the position but at less than half its prior weight, and we relabel the evidence so future versions of the framework treat reactive posts as something closer to inference than to true author-initiated signal.
Themes we deliberately skip. NVDA — backtest alpha −1.65%, latest jukan05 post slightly bearish. MU / WDC — memory rally already delivered, author shows saturation tells. SNDK — ~50× in 12 months, consensus crowded. TSM — EUV bottleneck fully priced (alpha +2.44% marginal). AVGO — TPU / ASIC story widely known. AAPL — Trump-Intel push directionally unclear.
| # | Ticker | Weight | Thesis | Evidence | Volatility |
|---|---|---|---|---|---|
| 1 | INTC | 17% | 18A + EMIB-T + Apple/Trump + Vera CPU challenger + SK Hynix EMIB — five distinct cashtags across separate catalysts. Top conviction. | DIRECT ×5 | Very high |
| 2 | QCOM | 14% | ASIC services for ByteDance + Amazon; possible Anthropic Maia alternative | inference | Medium |
| 3 | TTMI | 12% | PCB content in NVIDIA AI server platforms (MS report-driven) | inference | High |
| 4 | COHR | 10% | Optical interconnect / memory-wall solution in GPU-HBM packaging | inference | High |
| 5 | LRCX | 10% | 3D DRAM transition + EUV-to-logic capacity shift | inference | Medium |
| 6 | DELL | 8% | Agentic AI CPU servers thesis — but the post was REACTIVE to a Trump remark about Dell computers that pumped the stock 12%. Plausible thesis, late entry. Downgraded from 18% to 8%. | DIRECT-reactive | High |
| 7 | AMAT | 8% | Memory + foundry capex (DRAM expansion phase) | inference | Medium |
| 8 | CEG | 7% | AI compute power (Anthropic profitability ⇒ persistent grid demand) | inference | Low |
| 9 | AMD | 5% | Helios rack-scale AI platform, full mass production 2H 2026 | inference | Very high |
| 10 | VST | 4% | AI data center power, Texas grid exposure | inference | Medium |
| 11 | CWAVE | 3% | Pure-play AI infrastructure (CoreWeave; jukan05 shared a sell-side Buy initiation, $162 target) | analyst report | Very high |
| 12 | Cash | 2% | Dry powder / reserve | — | — |
Evidence concentration. Of 11 active positions, only 1 (INTC = 17%) rests on multiple DIRECT cashtags across distinct catalysts — the highest-conviction signal. 1 position (DELL = 8%) is DIRECT-reactive (cashtag during a Trump-induced pump, downgraded from 18%). 8 positions = 67% are our inference mappings of his narrative topics. 1 position (CWAVE = 3%) is a forwarded sell-side analyst report. Sizing now reflects this finer evidence hierarchy: DIRECT ×5 > inference > DIRECT-reactive (de-rated for timing) > analyst-report share.
Track this portfolio live on fxcryptobots Paper Trading.
We have seeded the 12-position allocation above as a public paper-trading portfolio so you can watch it print real-time alongside our other mirror portfolios — no real capital, no recommendation, just the live equity curve of OUR construction from jukan05's narratives. CoreWeave is represented by its actual NASDAQ ticker CRWV (the report uses “CWAVE” as shorthand; CRWV is the tradeable instrument).
We explicitly do NOT project a repeat of the historical outcome.
The historical headline was a basket +295% vs NASDAQ +37% over 16 months, but that was concentrated in WDC + MU. Without those two names the 5-name remainder roughly matched SMH (~+120%). The actual signal-level alpha vs the sector is moderate, not extraordinary. That outcome required a once-per-cycle memory rerate; we cannot count on the new theme list producing the same magnitude.
Portfolio meaningfully beats SMH. Modest sector-controlled alpha if 2-3 of the fresh themes (Intel come-back, agentic AI servers, optical interconnect) materialize on the expected catalyst timing.
Portfolio tracks SMH (~+15-25% per year if AI capex stays intact). The 60-day signal-level alpha (+5.82% vs SMH) is the most representative number for steady-state expectation.
Portfolio underperforms QQQ. Triggered by AI-capex slowdown, or by one of the high-volatility positions (INTC, AMD, CWAVE) failing on its specific catalyst.
Entry (staggered).
Day 0 — 50% initial allocation in each position.
+2 weeks — 30% add, confirmed by fresh signal + price action.
+1 month — 20% dip reserve (drawdown or new catalyst).
Hold horizon.
Target hold 6-12 months. Fresh narratives have not been fully priced; patience is required. Do not exit during earnings or catalyst dates — re-evaluate after.
Stop / exit.
Per-position stop: −18% (niche names are volatile).
Portfolio daily limit: −5% → raise cash, no new buys.
Portfolio weekly limit: −10% → move to 50% cash, full review.
Profit-take on a single name: +50% → sell 1/3, trail the rest.
Re-balance.
Monthly review (day 30, 60, ...). Scan recent tweet flow; if a new theme emerges, downsize the weakest tail (CWAVE first) and rotate. If any theme weight exceeds 15%, take partial profits.
Skip rule (from backtest).
Do NOT open new positions on NVDA-bullish, AVGO-bullish, or TSM-tightness posts — these themes show no measurable alpha after sector control. Do NOT open positions on Apple-related news (directional bias unclear).
Contrarian rule (from BEAR-call finding).
If the author's tone turns repeatedly cautious on memory: this portfolio holds no MU / SNDK / WDC, so no action is required. Do NOT chase memory longs based on the contrarian read alone — the portfolio is already designed to avoid the saturated memory trade.
Risk notes by position.
1. INTC is the highest-conviction and highest-volatility position at 17%. If the Apple/Intel or Rubin Ultra EMIB-T decisions do not materialize, expect rapid drawdown.
2. DELL was downgraded from 18% to 8% because the post was reactive to a Trump remark that pumped the stock 12% before the tweet. Plausible thesis on agentic CPU server ASP, but entry timing is compromised.
3. TTMI has already pulled momentum over the past 6 months. Staggered entry is critical to avoid late-entry damage.
4. CEG / VST AI-power consensus has begun forming — weights kept low.
5. DELL + TTMI + COHR + QCOM are highly correlated (~0.7) as “AI infra middleware.” They will draw down together on any AI-capex pullback.
6. CWAVE is a high-volatility speculative position; short trading sample.
7. AMD Helios thesis is fresh and not yet directly backtested — small weight is intentional.
Non-US tickers excluded (mentioned by jukan05 but skipped here).
Murata (6981.T) — JP, low-liquidity ADR (MRAAY). Samsung Electro-Mechanics — Korea-only. Kioxia, Socionext — JP-only. Nittobo, Mirae Co — JP/KR tiny float. MediaTek (2454.TW) — Taiwan-only. CXMT, YMTC — China IPO pipeline. Most US retail brokers (including Tickmill CFD) do not carry these.
If oversupply lands sooner than narrative suggests, downside for AMAT / LRCX (capex spending dries up first).
Rubin Ultra picks alternative packaging or Apple stays on TSMC — INTC thesis loses its biggest single catalyst.
If the CPU-server ASP uplift does not materialize at expected magnitude, downside for DELL.
Broad pullback across all AI-infra positions simultaneously. Daily and weekly portfolio stops trigger first.
Sector-controlled (vs SMH) signal-level alpha: +5.82% at 60d, +31.85% at 180d. Counterfactual analysis confirms the skill is theme identification, not specific stock picking — any reasonable memory mapping beat SMH during the window.
WDC +854%, MU +589%, Korean DRAM prices +498% YoY. Author shows audience-saturation tells; NVIDIA designing around memory cost. Harvest the lesson, exit the position.
12 positions: INTC 17% (DIRECT ×5 top conviction), DELL 8% (DIRECT-reactive, downgraded from 18%), 8 inference mappings (67%), CWAVE 3% (analyst report), 2% cash. Base case: tracks SMH. We explicitly do NOT project a repeat of the 8× NASDAQ historical outcome.
Report generated 2026-05-23 by the fxcryptobots research desk (v2, rationalized). Source: @jukan05 public X posts (16,277 lifetime, sample window Jan 18 2025 – May 22 2026); regex-based topic classifier validated on a 50-tweet manual sample (~92% agreement). Topic-to-ticker mapping is fixed and disclosed in the methodology table. Price data: Yahoo Finance daily bars (auto-adjusted close). Entry: next trading day RTH open. Alpha: ticker return − benchmark return over the same window. SMH (VanEck Semiconductor ETF) is the sector-control benchmark. Counterfactual analysis runs the 16-month buy-and-hold with alternative memory pairs (SNDK+STX, INTC+MU, passive SMH) holding the other 5 names constant. Forward-looking portfolio is OUR mapping of his supply-chain narratives to US-listed tickers, with explicit EVIDENCE labels separating DIRECT cashtags from inferences. The forward portfolio is NOT a recommendation from jukan05 and is sized for a calibrated base case (tracks SMH), not a repeat of the historical outcome. This is research and educational analysis, not investment advice; see our risk disclaimer.