NFA Live! Bitcoin Losing Momentum? Fed Fallout & Midterm Market Risks
NFA Live! Bitcoin Losing Momentum? Fed Fallout & Midterm Market Risks
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights
  • Stay cautious on Bitcoin (BTC) near $80,000; the speakers see possible midterm and inflation-related weakness, with momentum potentially returning around December or January, though that pattern is uncertain.
  • For Anthropic or SpaceX if they go public, avoid launch-day FOMO and consider waiting one to two months for trading to settle; treat Anthropic’s reported $2 trillion valuation as a target, not an established value.
  • Avoid unauthorized pre-IPO shares or tokens, and be especially skeptical of speculative meme coins amid rising AI-enabled fraud risks.
  • Expect continued volatility in U.S. equities around midterm, inflation, oil-price, and Fed developments; the speakers’ possible post-election rebound is a scenario, not a reliable timing signal.
Detailed Analysis

Bitcoin (BTC)

  • Bitcoin was described as having lost momentum for now, repeatedly testing the $80,000 level and recently closing below its May high.
  • Ben attributed the pause partly to midterm-year uncertainty and higher inflation readings. He said Bitcoin has often struggled around midterms, with weakness sometimes continuing until shortly after the election.
  • Ben suggested momentum could return around December or January, as markets move closer to the pre-halving year. This was presented as a historical pattern, not a certainty.
  • Ben also speculated that investors may be setting aside capital for major AI-company IPOs, potentially contributing to Bitcoin’s near-term weakness.
  • A longer-term risk discussed was the possibility that advances in AI could challenge assumptions underpinning cryptographic security. Ben stressed that the scenario is uncertain and would not necessarily make crypto unusable, but said it could weigh on sentiment if new evidence emerges.

Takeaways

  • The discussion points to near-term caution, with midterm uncertainty, inflation, and possible competition for investment capital acting as headwinds.
  • Treat the $80,000 level as a point the speakers were watching—not as a stated price target or guaranteed support.
  • The AI-and-cryptography concern is speculative, but worth monitoring as a potential source of volatility. The transcript does not establish that current blockchain security has been broken.

Crypto markets and altcoins

  • The speakers said that investors may be becoming more selective and less willing to buy unfamiliar meme coins simply because they are available.
  • They discussed AI-enabled fraud and hacking as a growing risk. Examples included stolen bank-account credentials, an AI-generated impersonation of a company executive, and a reported crypto ransom demand.
  • Ben’s discussion of the computational complexity of cryptography was about a possible risk to blockchain security generally. He explicitly clarified that “ETH” in that discussion referred to the exponential time hypothesis, not Ethereum.

Takeaways

  • The discussion favors caution toward speculative meme coins and highlights the importance of assessing whether a crypto asset has meaningful utility.
  • AI-enabled scams and security threats may increase the risks of holding or transacting in crypto. Verify investment offers independently, particularly claims about tokenized shares or pre-IPO access.

Anthropic (private company; potential IPO)

  • Rob discussed Anthropic’s reported IPO filing and a possible $2 trillion valuation, while emphasizing that this was a target valuation rather than an established market value.
  • He cited reported revenue growth, but also highlighted large future spending commitments and the company’s ability to compete with lower-cost, open models as uncertainties.
  • Rob warned that offers to buy unauthorized pre-IPO Anthropic shares or related tokens could be scams. He said the company’s position was that unapproved share transfers would not be recorded.
  • Rob and Ben both suggested that investors consider waiting after the IPO rather than buying into the initial surge. Ben said a pullback in the first month or two could offer a better entry point; this was their opinion, not a guaranteed pattern.

Takeaways

  • The discussion presents Anthropic as a high-growth but highly speculative IPO prospect: revenue growth is encouraging, but valuation, spending commitments, and competition remain important considerations.
  • If considering the shares after listing, the speakers’ suggested approach was to watch how trading develops rather than automatically buying at launch. No timing or price outcome is certain.
  • Avoid purported pre-IPO tokens or share offers unless they are confirmed through authorized channels.

SpaceX (private company; potential IPO)

  • Ben and Rob used SpaceX as a comparison for how a high-profile IPO might trade, suggesting that an initial surge could be followed by a pullback.
  • Ben said he would wait a month or two after launch before considering a purchase, based on his approach to SpaceX. No specific SpaceX price target was discussed.

Takeaways

  • The speakers’ main point was to be wary of IPO launch-day enthusiasm and consider waiting to see whether early trading settles.
  • This was a general strategy based on their view of IPO behavior, not a prediction that SpaceX or another IPO will follow the same pattern.

OpenAI (private company; potential IPO)

  • The speakers anticipated a possible OpenAI IPO next year, with Ben suggesting it might occur in the first half of the year.
  • They discussed the possibility that investors could shift capital toward major AI listings, potentially affecting demand for other assets such as Bitcoin.

Takeaways

  • A major AI IPO could draw investor attention and capital, but the transcript gives no valuation, price target, or specific recommendation for OpenAI.
  • Treat the IPO timing and its potential impact on other markets as uncertain.

Google / Alphabet (GOOGL, GOOG)

  • Google was said to have fallen about 10% after an earnings-related market reaction. Rob attributed much of the concern to heavy capital spending on infrastructure and said he thought the company could do well over time.
  • The speakers also noted that Microsoft moved in the opposite direction that day, underscoring mixed reactions to technology-company results.

Takeaways

  • The discussion highlights the trade-off between AI-related infrastructure investment and the near-term pressure that spending can place on company results.
  • No specific Google price target or buy recommendation was given.

Microsoft (MSFT)

  • Microsoft was mentioned as moving in the opposite direction to Google during the market reaction discussed. The transcript did not provide a detailed explanation for its move or a specific outlook.

Takeaways

  • The brief mention offers no company-specific investment case. Consider it only as evidence that market reactions to technology companies were uneven.

U.S. equities and market indices

  • The speakers discussed uncertainty around the U.S. midterms, inflation, oil prices, interest rates, and the possibility of a correction in the S&P 500.
  • Ben said markets including the Dow Jones, Russell, and Nasdaq had already experienced declines, and suggested there could be a further drop after the midterms before a possible rebound. He also said a correction could cause long-term bond yields to fall.
  • Rob noted that market volatility could increase around the election, while emphasizing that political gridlock does not necessarily prevent legislation from passing.
  • The speakers also discussed market reactions to political uncertainty abroad, including a sharp overnight drop in Brazil’s index and a decline in Israel’s stock market. They cautioned, in effect, that prediction-market probabilities are not guarantees.

Takeaways

  • The near-term outlook described was cautious and event-driven: the speakers saw scope for continued volatility around the midterms and macroeconomic news.
  • Their expectation of a post-election bottom and subsequent rebound was a scenario, not a confirmed market signal or timing guarantee.
  • Avoid treating election odds or historical midterm patterns as certain forecasts.

Bonds, interest rates, and inflation

  • Ben described a possible rise in longer-term yields into the midterms, followed by a decline if equities correct. He also thought the Fed might raise rates in December because of inflation pressures, including the lagged effect of higher oil prices.
  • He compared the setup with 2018, while acknowledging that the rate path could differ. He suggested that rate increases expected later could ultimately be priced out if concerns shift from inflation toward economic growth.
  • Rob also mentioned concern about longer-term bond yields rising.

Takeaways

  • The transcript describes a mixed rate outlook: persistent inflation could keep pressure on rates, while weaker growth or an equity correction could pull longer-term yields down.
  • Bond and equity markets may react sharply to incoming inflation, oil-price, and Fed signals. The speakers did not provide a specific bond-investment recommendation.

AI and cybersecurity

  • Rob described AI-enabled attacks as a risk to banks and businesses, citing examples involving stolen credentials, executive impersonation, and a crypto ransom demand.
  • The discussion also raised AI’s potential impact on cryptography and blockchain security, but the speakers did not say that these systems had been definitively compromised.

Takeaways

  • AI infrastructure and cybersecurity were presented as important investment themes, but also as sources of operational and market risk.
  • For investors, the discussion supports paying attention to how companies manage AI-related security threats; it does not identify a specific cybersecurity stock to buy.
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About Benjamin Cowen
Benjamin Cowen

Benjamin Cowen

By @benjaminjcowen

Former NASA researcher, PhD in Engineering, post-doc in high energy density physics at Sandia National Laboratories, turned quantitative macro researcher. Founder of Into The Cryptoverse, providing data-driven analysis of Bitcoin, crypto, commodities, and stocks through the lens of macroeconomics, liquidity, and market cycles.