We are seeing a potential moving average cross oversold 21-day MA crossing above the 50-day MA.
ALSO the Three Best Interviews of last week!
6-Month QID with 21 and 50-day moving averages (MA) & with waxing and waning moons
1-year QID with 50-day and 150-day MA
We are also seeing a potential shift from a stage one base-building chart pattern to a rising, stage 2 chart pattern in the one-year chart.
This is a potential trade based on technical analysis. Use stop losses to exit “when” it is not working. For traders or portfolio hedgers idea. This is not a buy and forget position nor an idea to lose track of once purchased.
The Three Best Interviews of last Week!
1) What’s the Story? AI Stocks, Crypto Downturn, Metals Selloff, SaaSpocalypse | Jim Bianco
Jim’s Interview with Bankless – Week ending Feb 14, 2026 – long but very timely for what is happening in multiple markets.
Summaryof full version: Last week felt like four different crashes happening at the same time: AI software stocks melting down, crypto capitulating, gold and silver whipping around, and markets suddenly panicking about AI CapEx spending. Jim Bianco returns to Bankless to explain what actually changed: why AI is collapsing the cost of building software (and threatening SaaS pricing models), how “synthetic Bitcoin” in TradFi can amplify volatility even when nothing breaks onchain, and why the next crypto cycle can’t be powered by “permission” narratives, it has to be powered by replacement and building.
2) “Supersonic Tsunami Hits SaaS: My Turbulence Model Is Flashing Risk”
In this week’s video, I break down why we are now in the midst of what Elon Musk called the “supersonic tsunami”, and why the acceleration phase of AI is rewriting market structure in real time. Over the past week, the disruption spread beyond SaaS into insurance brokers, wealth management platforms, commercial real estate services, and trucking stocks. 115 S&P 500 names fell at least 7% over a rolling 8-day window, many near 52-week highs, a dispersion pattern we haven’t seen since the dot-com rotation in 2000. The critical development: recursive self-improvement is no longer theoretical. OpenAI’s GPT 5.3 Codex helped build itself, and Claude Opus 4.6 shipped with a 5x context window expansion over 4.5 just weeks prior. Meanwhile, free Chinese models like MiniMax M2.5 are benchmarking near Opus 4.6 at 1/20th the cost. The model velocity war is accelerating the deflationary spiral in anything built on code, while the hyperscalers face a trap, rising RPOs they can’t fulfill due to physical bottlenecks, growing capex guidance, and competitive erosion from open-source alternatives. My turbulence model has fired 12–15 signals in five weeks versus 20–25 in the prior 28 months, and it’s happening while hedge fund gross leverage sits near all-time highs. Credit is showing signs of weakening, leveraged loans have broken below the 100-day moving average, HY-to-IEF is trending lower, and BDC indices remain depressed. The covariance matrix is under stress across assets, not just equities. I believe the probability of a meaningful unwind event is closer to 25% while the market positioning suggest much lower. The positioning: be long scarcity, short abundance. That means energy, materials, chemicals, small caps, foreign stocks (particularly Brazil), and Bitcoin once software stabilizes. Names like Eaton and Chevron are breaking out of multi-year bases as PMIs just posted their biggest upswing outside of COVID. The IWM-vs-QQQ trade remains the key expression. Software isn’t dead, it’s worse: the cost of building a $20–100M ARR SaaS product has fallen below $10,000 in compute, creating a supply explosion that compresses margins for incumbents. The hyperscalers relative to the S&P are approaching their lowest levels since 2023.
3) Uh-oh, Legendary Investor, Ric Edelman, predicts this about Ethereum
Ric Edelman (Bio link here) is the largest RIA (in AUM) in America with multiple awards to accompany the size of his reputation & business. This interview is more about asset allocation and growth of assets combined with preservation of assets than Ethereum. Core beliefs of Edelman at this time are heavy on cash with crypto being the largest asset allocation sector owned. His holding timeline is three to five years, be diversified, dollar cost average, and rebalance on a regular basis. As a strong believer that crypto and AI are rapidly changing our financial system, he suggests an allocation of between 10% and 40% of liquid assets be in crypto-related areas of your portfolio. This is age dependent and dependent on personal financial situation. His three to five-year price target for Ethereum is $8,000 to $10,000 and $500,000 for Bitcoin. He is heavy in cash at this time. I believe his history with crypto goes back to the 2014 period.
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* An account related to LOTM holds a position in this security.
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