paradislabs
@paradislabs
Past bets that played out
These are the clearest thesis calls with observable outcomes, linked back to the original videos.
Post discusses LPKF Laser H1 earnings, highlighting sharp revenue decline, negative adjusted EBIT, negative free cash flow, and shrinking cash balance. Author notes the situation may be “more nuanced,” but no specific bullish catalyst is provided in the excerpt.
Post discusses LPKF Laser H1 earnings, highlighting sharp revenue decline, negative adjusted EBIT, negative free cash flow, and shrinking cash balance. Author notes the situation may be “more nuanced,” but no specific bullish catalyst is provided in the excerpt.
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
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Recent YouTube posts from this source. Create an account to unlock live alerts and the full research trail.
Paradis Labs @ParadisLabs 17h Just some thoughts on LPKF Laser / $LPK / $LPKFF earnings: If you just look at H1 finan...
Post discusses LPKF Laser H1 earnings, highlighting sharp revenue decline, negative adjusted EBIT, negative free cash flow, and shrinking cash balance. Author notes the situation may be “more nuanced,” but no specific bullish catalyst is provided in the excerpt.
Paradis Labs @ParadisLabs Jul 22 This Google earnings release makes all the fear in semis from the past month look hi...
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
How do you make money from $AMZN / $GOOGL spending insa | X/Twitter Thread Reader & PDF Export
Post is an incomplete/duplicated snippet of a thread: asks how to make money from $AMZN/$GOOGL spending heavily on AI, cites McKinsey forecasting $5.2T AI capex by 2030. No explicit beneficiaries beyond AMZN/GOOGL and no concrete trade setup. Actionability is limited due to truncated content and lack of ticker-specific implication beyond AI capex growth.
Proof-backed call history
These are recent thesis calls tied to original source content where available.
Post discusses LPKF Laser H1 earnings, highlighting sharp revenue decline, negative adjusted EBIT, negative free cash flow, and shrinking cash balance. Author notes the situation may be “more nuanced,” but no specific bullish catalyst is provided in the excerpt.
Post discusses LPKF Laser H1 earnings, highlighting sharp revenue decline, negative adjusted EBIT, negative free cash flow, and shrinking cash balance. Author notes the situation may be “more nuanced,” but no specific bullish catalyst is provided in the excerpt.
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
Post argues Google’s earnings imply semiconductor fears were overdone; cites accelerating cloud growth, Gemini MAU jump, and raised 2026 capex guidance as demand/capex signals that should drive “crazy earnings” across select optical/semicap names ($LITE, $COHR) and storage/AI infrastructure-related names ($SNDK, $NBIS). Actionable mainly as a near-term sentiment/capex-readthrough trade from an earnings catalyst, but lacks valuation/entries.
Post is an incomplete/duplicated snippet of a thread: asks how to make money from $AMZN/$GOOGL spending heavily on AI, cites McKinsey forecasting $5.2T AI capex by 2030. No explicit beneficiaries beyond AMZN/GOOGL and no concrete trade setup. Actionability is limited due to truncated content and lack of ticker-specific implication beyond AI capex growth.
Post is an incomplete/duplicated snippet of a thread: asks how to make money from $AMZN/$GOOGL spending heavily on AI, cites McKinsey forecasting $5.2T AI capex by 2030. No explicit beneficiaries beyond AMZN/GOOGL and no concrete trade setup. Actionability is limited due to truncated content and lack of ticker-specific implication beyond AI capex growth.
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