💬 AI Prompts. Find "Tier 2" companies that are benefiting from the AI boom and validate if quantum stocks are the play right now.
🌊 ETF Flow Analysis. Where is capital flowing? What's going on with gold and Bitcoin?
*Stock market data as of market close on Oct 24, 2025. Crypto prices as of 4:30 PM MST on Oct 24, 2025.
MARKET RADAR
🔮 Love them or hate them, prediction markets are here to stay. Polymarket has a 94% accuracy rate of predicting near-term events and a 90% accuracy rate for long-term events. This impressive metric is driving the maturation of these markets as data‑driven tools for truth‑seeking rather than just gambling.
🤖 AI Model Crypto Trading Contest. The top AI models are competing against each other to showcase their trading skills. Find out who the winners and losers are.
🏷️ If AI data center companies are the miners, then AI data labeling companies are the refineries. While tech giants burn billions racing to build better AI models and data centers, data labeling companies handle the tedious work of organizing, annotating, and validating the massive datasets these systems need. Take a look at Innodata ($INOD) if you want to take advantage of this surge in demand.
EARNINGS
Companies Reporting Earnings Week of October 26th, 2025:
Purpose:In the current AI boom, most investors are chasing the obvious 'Tier 1' stocks (think Nvidia, Microsoft, etc.), but smart money is investing in the 'picks and shovels' - the non-obvious companies building the essential infrastructure that makes the AI gold rush possible. Use the prompt below to identify the non-obvious "Tier 2" and "Tier 3" companies that are benefiting from the trillions in capital expenditures (CapEx) being spent on AI.
Act as an expert AI-sector analyst and supply chain strategist. My goal is to identify the non-obvious “picks and shovels” companies benefiting from the AI CapEx boom.
First, define “Tier 1” as the obvious, mega-cap players (e.g., $NVDA, $MSFT, $GOOGL, $AMD, $TSMC). My goal is to find “Tier 2” and “Tier 3” companies in the sub-sectors I list below.
My Inputs:
* Focus Category 1: [e.g., Data Center Infrastructure (Power management like $ETN, liquid cooling $VERT, high-speed networking $MRVL)]
* Focus Category 2: [e.g., Power & Energy (Grid infrastructure, nuclear/SMR developers like $OKLO, energy services pivoting to data centers like $LBRT)]
* Focus Category 3: [e.g., AI Data & Services (Publicly traded data labeling/annotation companies like $APX, specialized AI consulting firms)]
* My Company Filters: [e.g., “Must be under $100B market cap”, “Must be profitable (P/E > 0)”]
Your Task:
For each “Focus Category” I listed, do the following:
Identify Companies: List 2-3 publicly traded companies (with tickers) that are pure-play or high-exposure beneficiaries in that category and meet my filters.
Run AI-Driven Analysis: For each company, provide a brief (1-2 sentence) “AI Thesis” by analyzing: Recent earnings call transcripts for keywords like “AI demand,” “data center backlog,” or “pipeline growth. ”News sentiment analysis over the last 90 days.
Track the “Smart Money”: For each company, provide a “Smart Money Signal” by checking: Are institutions (top hedge funds) net buyers or sellers in the last quarter (13F data)? Has there been any significant insider (Form 4) buying or selling?
Present the final output as a clean, bulleted list for each category.
2. 🧐 Catalyst-Driven Momentum Analysis Prompt
Purpose:Recent news (and subsequent partial denial) came out about the US government considering equity stakes in quantum companies like D-Wave, Rigetti, and IonQ (stocks jumped by 14%, 10%, and 7% on Oct 23, respectively). Use the prompt below to validate the catalyst itself, measure the quality of the momentum, and check if "smart money" is participating or just dumping shares to retail traders.
Act as a hybrid quantitative analyst and “smart money” tracker. I need to analyze a high-momentum, speculative sector that just received a major catalyst.
My Inputs:
* Sector: [e.g., Quantum Computing]
* Tickers: [e.g., $QBTS, $RGTI, $IONQ, $QUBT]
* The Catalyst: [e.g., “The Oct 22-23, 2025, reports that the US government is in talks to take equity stakes, AND the subsequent partial denial from the Commerce Dept. (calling talks ‘speculative’) while some companies confirmed funding discussions.”]
* My Time Horizon: [e.g., Short-term trade (1-6 months), Long-term speculation (3+ years)]
Your Task: Perform a 4-part analysis to determine if this is a high-probability investment or a high-risk gamble.
Catalyst Interpretation: Analyze the “signal vs. noise.” Is the initial report (the “smoke”) more important than the official denial (the “water”)? How would “smart money” typically interpret this ambiguity? (e.g., Is this a “buy the rumor” event, or is the official denial a signal to “sell the news”?)
AI-Driven Momentum Analysis: Is this momentum real or just hype?
Technicals: What is the 14-day RSI (Relative Strength Index) for these tickers? Are they “overbought” (>70) or “strong” (50-70)?
Sentiment: What is the AI-driven news and social media sentiment (e.g., “Bullish,” “Bearish,” “Euphoric”) for these tickers since the catalyst?
“Smart Money” Flow Analysis: Is smart money buying this rally or selling into it?
Volume: Is the recent price surge on high institutional-level volume or low retail-driven volume?
Holders: Are institutional funds or known tech hedge funds increasing or decreasing their positions (based on most recent 13F data)?
Insiders: Has there been any insider (Form 4) selling on this news?
Final Thesis (Bull vs. Bear): Based on the data above, provide a summary:
Bull Case (Why to invest): (e.g., “Momentum is strong, the catalyst is likely real, and smart money appears to be accumulating.”)
Bear Case (Why to wait/avoid): (e.g., “This is a purely retail-driven hype rally, sentiment is euphoric (a contrary indicator), and insiders/institutions are selling into the strength.”)
SMART MONEY TRACKER
For tracking smart money movement this week, let's start by looking at where capital has generally been flowing (week of Oct 20, 2025):
🏗️ $XLI - Industrials Fund: +504.9M inflow
🛢️ $XLE - Energy Fund: +481.8M inflow
⚡️ $XLU - Utilities Fund: +$289.8M inflow
💻 $XLK - Tech Fund: +201M inflow
🏥 $XLV - Healthcare Fund: +52.3M inflow
🏠 $XLRE - Real Estate Fund: +2.4M inflow
🏦 $XLF - Financial Fund: -$133M outflow
Source: Finviz
Sector performance and fund flow over the last week appear to be well aligned in terms of achieving positive returns.
The only misalignments are the +$289.8M Utilities Fund inflow and negative sector performance of -0.23% and the -$133M Financial Fund outflow and positive sector performance of +1.68%.
Now, let's shift gears and examine what's been happening with gold and Bitcoin.
In last week's newsletter, we mentioned that gold had reached an all-time high. The following Monday (Oct 20, 2025), gold miraculously climbed to a new all-time high of $4,380/oz.
Fund flow analysis reveals that there was a +$4.1B inflow of capital into the $GLD ETF the week of Oct 13, 2025 and an additional +$1.6B inflow the day gold reached its peak (Oct 20, 2025).
$GLD Fund Flow for Week of Oct 13, 2025
Source: ETF.com
$GLD Fund Flow for Week of Oct 20, 2025
Source: ETF.com
What's interesting is that while capital was flowing into the $GLD ETF, a large amount of capital was leaving the $IBIT ETF.
$IBIT Fund Flow for Week of Oct 13, 2025
Source: ETF.com
$IBIT Fund Flow for Week of Oct 20, 2025
Source: ETF.com
This "trade-off" is especially pronounced on Oct 20, 2025 when $GLD saw an inflow of
+$1.6B while $IBIT saw an outflow of -$268.6M.
However, as expected, gold began its descent the day after reaching its ATH.
Furthermore, a clear reversal (beginning Oct 22, 2025) between gold and Bitcoin is reflected in the fund flow analysis.
$GLD saw an outflow of -$844.1M while $IBIT saw an inflow of +$210.9M. This trend continued for the rest of the week.
Apparently, this kind of asset rotation from gold to Bitcoin has already happened in the past before. See Twitter post from @Ashcryptoreal below:
As always, thanks for reading and stay tuned for next week's edition!
Tech Fizz Team, signing off 🫡
DISCLAIMER: The content in this newsletter is not financial advice; it is for educational and informational purposes only. Stocks can be risky and speculative. Please do your own research before investing.
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