Video summary

6 Funkcji Investing z których sam korzystam

Main summary

Key takeaways

Finance

Finance-focused summary (key points from the subtitles)

Disclaimers / disclosures

  • Not financial advice: The material “does not constitute advice, recommendation or investment advice… informational and educational purposes.”
  • Mentions an affiliate link for Investing Pro / Pro Plus, offering a 15% discount with code “JAKUB INVESTOR”.
  • Clarifies that some features mentioned are free on Investing, while others require Investing Pro / Pro Plus.

“Six investing functions” framework (as described)

1) NewsPro (Pro news / analyst reports)

How it’s used

  • Checks Pro news for companies of interest to identify potential market trends early.
  • Reads Pro items that may include analysis from brokerages/analysts (examples cited: Goldman Sachs, Wells Fargo, Citigroup).

Key market examples & outcomes

  • Dell (DELL) and HPE (subtitles suggest “Hulet Packart Enterprise,” likely Hewlett Packard Enterprise / HPE):
    • Mentions Pro news from May tied to potential demand for AI servers.
    • Example prices mentioned at the time (subtitle-imprecise):
      • Dell ~ $200 (subtitles also mention “about $40” earlier—unclear due to errors)
      • HPE ~ $33/share
    • Current levels stated:
      • HPE ~ $57
      • Dell ~ $440
  • Pro news example (company name unclear):
    • “Metronic” likely Medtronic, with an article referencing growth in “mapping space” and a forecast of +570 basis points by 2028.
  • Additional examples / watchlist:
    • Lumentum: Pro news suggests it could benefit from AI optics demand.
    • A Pro recommendation example: “Wolfer Research” maintaining Outperform with a target price around ~$1,200 (broker name possibly William Blair; subtitles may be inaccurate).

Takeaway

  • Pro news is treated as an idea generator, used to see whether analyst/brokerage narratives align with actual market developments.

2) Advanced Performance Data (earnings reaction + EPS forecast trend)

Core items he checks

  • Share price reaction on the day of the results announcement (treated as a signal).
  • EPS forecast trend: how analysts’ EPS expectations change over time for a specific upcoming earnings quarter.
  • Also views:
    • Forecasted EPS (next report)
    • Forward P/E (“forward price-to-earnings”)
    • Analyst coverage count (noted limitation when few analysts exist)

NVIDIA example

  • Upcoming earnings date cited: Aug 26, 2026 (shown in the UI).
  • Analyst EPS forecast change:
    • Stated overall change: ~+42% over the past year.
    • Earlier expectations referenced around $56/share, shifting to roughly ~$208–$209/share (subtitle/unit ambiguity, but the key point is strong upward estimate revisions).
  • Interpretation:
    • Continuous forecast increases suggest analysts may have previously underestimated the company.
    • Implies a positive earnings revision trajectory.

Lumentum example

  • Next results date cited: Nov 10, 2026.
  • EPS forecast revisions:
    • Stated ~+180% increase (subtitles appear inconsistent on exact dollar figures; the emphasis is large upward revisions).
  • Earnings-day reaction:
    • Generally described as positive vs. NVIDIA, with examples of +16%, +14%, +9% (exact timing/period mapping unclear due to subtitle errors).

Takeaway

  • Uses EPS estimate revisions as a momentum/earnings-trajectory monitoring tool, and compares typical stock reaction to results.

3) Analyst Sentiment (recommendations + fair value used cautiously)

How it’s used

  • Says he is more interested in analyst sentiment than basic “neutral/buy/sell.”
  • Looks at fair value, but cautiously:
    • Believes Investing’s fair value may be conservative and may lag strong growth.
  • Uses analyst outputs as a reference for what the “Street” expects, while still doing his own assessment.

Specific metrics cited

  • Example breakdown:
    • Max: $1,400
    • Average: $1,148
    • Min: $820
    • Recommendations: 20 buy, 4 hold, 0 sell (explicitly stated)
  • Broker-by-broker targets (examples named):
    • JP Morgan (e.g., $1,280)
    • Bank of America (e.g., $1,000)
    • Barclays (e.g., $1,000)
    • Cit(i)ty (likely Citigroup; e.g., $1,100)

Takeaway

  • Analyst consensus/targets are used for context and upside/downside framing—not as the sole decision driver.

4) AI Technical Analysis (confirmation of support/trend levels)

How it’s used

  • Uses AI technical overlays mainly to confirm his thesis around support/resistance (potential buying/additional-buy zones).
  • Chooses timeframes:
    • Daily (D1) for longer-term views
    • Weekly / Monthly for broader trend context
    • Shorter-term setups framed as more speculative

Key example: SMA 200 trend line

  • For Lumentum, he checks SMA 200:
    • Subtitles state SMA 200 ≈ $652
  • Mentions the stock previously dipping below an upward-trend area near $600 and then rebounding.
  • The SMA 200 is treated as a meaningful long-term trend line; breaking it can imply trend deterioration.

Takeaway

  • Technical AI acts as a validation layer around his identified levels and horizon.

5) Economic Calendar

How it’s used

  • Tracks scheduled macro events and inflation/growth data; events are marked by importance (stars).
  • Reviews upcoming days/week and uses forecasts to anticipate volatility.

Examples of macro releases mentioned

  • Poland retail sales forecast: 4.5% (three stars)
  • US PCE (inflation metric, three stars)
  • US GDP (three stars)
  • Oil reserves (three stars), linked to geopolitical context:
    • Conflict in the Gulf of Ormus / Hormuz affecting oil

Takeaway

  • Uses the macro calendar to anticipate market-moving catalysts.

6) Fed Barometer (interest-rate decision countdown + expectations)

How it’s used

  • Checks time until the next Fed interest-rate decision and what the market expects:
    • rates fall, rise, or stay
  • Next Fed meeting referenced:
    • September 16 (as shown in the UI)
  • Mentions using the “100% Fed barometer” (probability/expectations displayed by the tool).

Takeaway

  • Tracks policy expectation uncertainty as an input for overall risk framing.

Tickers / instruments mentioned (from subtitles)

  • NVIDIA (NVDA) (implied by “Nvidia” explicitly)
  • Dell (DELL)
  • Hewlett Packard Enterprise (HPE) (implied by “Hulet Packart Enterprise”)
  • Super Micro (mentioned; ticker not stated)
  • Lumentum (LITE) (company mentioned; ticker not explicitly confirmed)
  • Medtronic (likely “Metronic”; ticker not stated)
  • Macro/instrument references:
    • PCE
    • GDP
    • Oil reserves

Key explicit numbers / metrics called out

  • Pro news example: +570 basis points by 2028 (mapping space statement; company unclear due to subtitle errors)
  • NVIDIA
    • Next earnings date: Aug 26, 2026
    • Analyst EPS forecast change: ~+42%
    • Forward P/E referenced (no numeric value provided)
  • Lumentum
    • Next earnings date: Nov 10, 2026
    • Analyst EPS forecast change: ~+180%
    • Earnings-day reaction examples: +16%, +14%, +9% (which specific periods are unclear)
    • SMA 200 ~ $652
  • Economic calendar
    • Poland retail sales forecast: 4.5%
  • Fed barometer
    • Next Fed meeting: Sep 16
  • Analyst targets (example range)
    • Max $1,400, average $1,148, min $820
    • 20 buy / 4 hold / 0 sell

Recommendations / cautions (explicit)

  • Emphasizes:
    • Analyst sentiment and EPS revisions are important inputs.
    • Fair value may be conservative and less responsive to strong earnings trends.
    • Technical AI is primarily confirmation, not a standalone decision driver.
  • No direct formal “buy/sell” instruction is presented (consistent with the “not advice” disclosure).

Presenters / sources mentioned

  • Presenter: Jakub the Investor
  • Brokerages/analyst sources mentioned in context:
    • Goldman Sachs
    • Wells Fargo
    • Citigroup
    • William Blair / “Wolfer Research” (broker name possibly mis-subtitled)

Note: Several company names and price/figure values appear imprecise due to subtitle errors, but the framework logic and qualitative emphasis remain consistent.

Original video