Michael Sikand @michaelsikand 3h Hard not to revisit $KRKNF fundamentals at these levels if you're questioning the AI...
Watchlist/contrarian long bias in KRKNF on ‘at these levels’ valuation sentiment + ocean mapping tools narrative
Linked assets
These are the assets attached to this thesis, along with direction, confidence, and outcome so far.
Directional implication is bullish but unsupported by specific catalysts/financials in the text; best treated as a low-conviction idea pending diligence on fundamentals and battery/ocean-mapping revenue drivers.
Source proof
Source proof: Strong source proof | 6 extracted claims | 1 directional asset | 1 supporting author | headline-like title review
Single short post posing a rhetorical question about an unusual macro mix (high inflation, record earnings, AI boom, low consumer sentiment, stocks near ATHs, strong labor, energy crisis/war, tariffs, ballooning US debt). No tickers or explicit trade recommendations; mostly contextual macro commentary.
Post is a broad macro lament: current macro environment is “abhorrent,” and even “generational winners” are being punished despite evidence/data-driven positioning. No tickers/cashtags, no explicit catalyst, no tradeable setup.
Post makes a high-level narrative claim: companies spending the most on AI function as a “hedge against AI.” No tickers, sectors, catalysts, time frame, or position language provided, so investability/actionability is low.
Post argues Soitec (SOI.PA / SLOIF) is a photonics/engineered-wafer “monopoly” leveraged to AI networking/CPO, calling it a clear multi-bagger after a large drawdown (down ~75% from ATH; previously fell ~42.5% from ATH) and notes a sharp +22% move after a Q1-related drop. Mentions NVDA GTC as the research catalyst for the thesis and position sizing (“third largest”).
Post suggests revisiting $KRKNF “fundamentals at these levels” as a non-AI/adjacent alternative if questioning the AI trade; supporting quoted text frames KRKNF as building tools for ocean mapping and mentions “start with the batteries” but provides no concrete financial/catalyst details. Actionable only at a high level (watchlist/long bias), low specificity.
Speaker expresses frustration with $APP (AppLovin), stating they rotated capital out of “high beta selloff AI” into an adtech play and got “rinsed 15%,” and that they are out until e-commerce advertisers (“ecom bros”) report strong ad performance/growth arbitrage again. This reads as a near-term bearish/avoid stance on APP tied to perceived demand/signal from advertiser anecdotes rather than a specific dated catalyst.
Post claims the author concentrated 70% of portfolio into an unnamed “secret smallcap” expected to 10x because it “powers Anduril’s subsea drones,” framing an “ocean/subsea” defense-spending supercycle. No identifiable public ticker is provided, so no directly tradable ticker idea can be formed from this text alone.
Post highlights extreme market-cap appreciation and trading volume in $BMNR, framing it as a leveraged/strategic acquirer of ETH (analogous to MicroStrategy’s BTC approach) and calling it “Exxon Mobil of digital oil.” Actionability is moderate: there is a clear bullish framing and asset-allocation narrative, but no concrete catalyst, valuation work, or timing/levels beyond hype/scale comparisons.
Supporting authors
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