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In this episode of The Philosophical Quant, Michael and Lia react to a wild week: “end of the world” vibes on Thursday, then back near all-time highs. The focus is software after a fear-driven selloff in IGV, with the narrative that AI could replace software companies. We break down why the bounce can still look weak, what the Nasdaq and key moving averages are signaling, and why the broader market may be rotating into areas like Dow Jones, small caps, staples, biotech, and IWM.
We break down current software stocks and discuss effective trading strategy applications. We also cover the nuances of RSI mean reversion and provide insightful investment analysis on specific stocks like PayPal stock, offering a comprehensive look at the current stock market dynamics.
Then we get practical with the Trading Technique of the Week: a mean reversion RSI approach—not buying just because something is oversold, but waiting for RSI to recover and using tight risk. Michael walks through why he chose ServiceNow using IGV holdings, while Lia shares her Figma trade built around demand levels, oversold RSI, valuation context, and a structured plan.
Finally, we jump into the Traders Clinic and answer audience tickers: MU, HIMS, and PayPal, focusing on parabolic risk, bear-flag behavior, exhaustion volume bounces, and the brutal reality of “bag holder supply.”
If you want us to review a chart, sector, theme, or psychology/risk management question, drop it in the comments—this show grows off your questions.
Chapters
00:01 – Welcome + viewers requested a software episode
Disclaimer: All opinions expressed on this show are solely the opinions of the hosts’ and guests’ and do not reflect the opinions of Stocktwits, Inc. or its affiliates. The hosts are not SEC or FINRA registered advisors or professionals. The content of this show is for educational and entertainment purposes only. Please consult with your financial advisor before making any investment decision. Read the full terms & conditions here: https://stocktwits.com/about/legal/terms/
By StocktwitsIn this episode of The Philosophical Quant, Michael and Lia react to a wild week: “end of the world” vibes on Thursday, then back near all-time highs. The focus is software after a fear-driven selloff in IGV, with the narrative that AI could replace software companies. We break down why the bounce can still look weak, what the Nasdaq and key moving averages are signaling, and why the broader market may be rotating into areas like Dow Jones, small caps, staples, biotech, and IWM.
We break down current software stocks and discuss effective trading strategy applications. We also cover the nuances of RSI mean reversion and provide insightful investment analysis on specific stocks like PayPal stock, offering a comprehensive look at the current stock market dynamics.
Then we get practical with the Trading Technique of the Week: a mean reversion RSI approach—not buying just because something is oversold, but waiting for RSI to recover and using tight risk. Michael walks through why he chose ServiceNow using IGV holdings, while Lia shares her Figma trade built around demand levels, oversold RSI, valuation context, and a structured plan.
Finally, we jump into the Traders Clinic and answer audience tickers: MU, HIMS, and PayPal, focusing on parabolic risk, bear-flag behavior, exhaustion volume bounces, and the brutal reality of “bag holder supply.”
If you want us to review a chart, sector, theme, or psychology/risk management question, drop it in the comments—this show grows off your questions.
Chapters
00:01 – Welcome + viewers requested a software episode
Disclaimer: All opinions expressed on this show are solely the opinions of the hosts’ and guests’ and do not reflect the opinions of Stocktwits, Inc. or its affiliates. The hosts are not SEC or FINRA registered advisors or professionals. The content of this show is for educational and entertainment purposes only. Please consult with your financial advisor before making any investment decision. Read the full terms & conditions here: https://stocktwits.com/about/legal/terms/