The Philosophical Quant: A Trading Podcast

In this episode of The Philosophical Quant, Michael and Lia talk about staying calm in a wild market by using statistics, technical structure, and a selective approach. Lia is playing defense with about 40% cash and taking fewer trades, while keeping cash ready for bigger dips. The Trading Technique of the Week is trendlines: a simple way to define the rate of change, create an entry, and know where you’re wrong. Michael uses Bitcoin to show how breaking a trendline doesn’t guarantee a moonshot, but it does signal a change in the rate of descent and creates a clean decision point. Lia shares a real trade using a mini trendline breakout in Nokia, entering at 8.17 with a 9–10 target, explaining how she waits for the squeeze, the higher lows, and the break. They also discuss why trading is fractal across timeframes, why levels are zones (“draw with a crayon, not a pencil”), and how pros use looser language because there is no “always” in markets. In the Mindset Minute, they talk about handling war headlines and hype by putting emotions aside and focusing on facts, numbers, charts, and what can be counted. Lia explains her “devil’s advocate” approach to filtering fear from trade decisions, why she stays away from direct oil trades, and what she prefers to be long if the market moves into recovery. 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/ Chapters 0:00 - Getting started + candor and the market going wild 0:22 - Welcome back: keeping heads cool in this market 0:40 - Playing defense: 40% cash + trading selectively 1:01 - Time horizon: shorten it or expand it 1:44 - End of January: easing up on investments 2:11 - Waiting for real dips: down 10–15% and names down 50–60% 2:38 - Trading technique of the week: trendlines 3:06 - Trendlines explained: rate of change, not perfection 3:35 - Bitcoin trendline break: rate of descent changed 4:10 - Why trendlines help: entry + stop loss + waiting for something to occur 5:02 - Lia’s trade: Nokia mini trendline breakout 5:33 - Nokia entry 8.17, target 9–10, break since October 6:35 - Trading is fractal across timeframes 7:04 - Overhead supply, lower highs, and knowing where you’re wrong 7:48 - Levels are zones: not exact numbers 9:02 - “Draw levels with a crayon, not a pencil” 10:10 - Pros vs amateurs: loose language vs absolutes 10:56 - “Always” doesn’t exist in markets 11:06 - VRT trendline example + staying in strong names 11:44 - Mindset minute: not getting caught in hype or headlines 12:43 - Lia’s devil’s advocate approach: facts, capability, and leverage 14:08 - Strait of Hormuz leverage + economic impact 15:20 - Putting fear aside: long tech/high beta + crypto, not oil 16:06 - Don’t listen to what anyone’s saying: focus on what you can count 18:39 - Facts vs emotions + pressure to negotiate 19:46 - How to play it: indexing vs oil vs semis 19:58 - Lia: staying away from oil, prefer semiconductors 20:25 - MU, AI demand, and beaten-up software names 21:20 - Call for questions + wrap

We’re back after a few broken episodes, and the market has been insane: crude spiked, SPY tagged the 200-day overnight, and we’ve seen a huge flow into tech. In an environment where the market is going nowhere, mean reversion becomes one of the only ways to trade. We break down a practical use of AI: instead of asking AI to “make you a strategy,” use it to answer a data question. After a wild gap-down then close-up day, we asked for a chart of every time the S&P 500 gapped down over 1% and closed up over 1% and what happened next. The big takeaway: this kind of action is usually bear market behavior, with mixed short-term outcomes but often positive follow-through. Then we talk hedging tools: inverse ETFs like DXD and SARK, plus leveraged bear ETFs like SOXS, and why position sizing matters. We also go through a simple trade breakdown: red-to-green and green-to-red setups, including an oil short via USO and a risk-defined flip on HIMS. Lia shares bounce and reversal trades, including EWZ off the 50 moving average and VRT setups with clear levels, plus the psychology of navigating CPI risk and avoiding FOMO. 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/ Chapters 0:13 - Back to it, market is insane: commodities + trading the week 0:33 - Huge bounce Monday, crude spike toward 120 overnight 0:52 - Watching SPY tag the 200 DMA overnight, dip-buy level 1:13 - Recovery + flow into tech, “fun to trade if you’re up all night” 1:41 - Trading technique: mean reversion in a market going nowhere 1:58 - Practical AI use: measure how rare the wild session was 2:24 - From overnight low to high: almost a 4% move 2:47 - Perplexity prompt: gap down over 1% then close up over 1% 3:19 - Observation: usually bear market behavior 4:06 - Table: next day, 1 week, 1 month outcomes 4:52 - Hedging talk: inverse ETFs like DXD and SARK 5:48 - CPI tomorrow + bounce timing + oscillators and short-lived moves 6:15 - Macro concern: inflation risk, jobs, credit stress 7:50 - Inverse ETFs 101: leverage sizing and hedging with less capital 9:16 - Pairs-trade idea: long stocks, short market 10:06 - Hedging with spreads, defined risk, sleep better 11:22 - Trade breakdown: red-to-green / green-to-red 12:01 - USO oil trade example: green-to-red short through open 12:50 - HIMS flip example: define where you’re wrong 14:33 - Lia: avoiding oil swing risk, playing reversals instead 15:44 - EWZ bounce: 50 MA + demand zone 16:45 - VRT setups: levels, entries, target near 300 psychological 18:55 - SPX levels: 6840, 6900 as confirmation area 19:21 - Mindset minute: FOMO after a fast bounce 20:35 - How to avoid FOMO: use index levels and runway to resistance 22:26 - RSI/oscillators as a “don’t FOMO” tool 23:27 - CPI risk + being aware of the calendar 24:26 - It’s okay to wait: control emotions is priority 25:24 - Call for questions + wrap

In this episode of The Philosophical Quant, Michael walks through the math behind what normally happens in markets during U.S.-involved Middle Eastern conflicts. Using roughly the last 12 events going back to 1992, he compares what happened one week, one month, and six months after conflict involvement—then checks individual S&P 500 charts from recent examples. The key pattern: short-term volatility with “not going anywhere” chop, followed by a month of continued back-and-forth, and then—more often than not—markets looking green six months later, roughly in line with what markets do on average over time. He also notes one major outlier that needs to be excluded at the one-month mark because it overlaps with a separate shock. Michael closes with two choices for traders in this kind of environment: either shorten your time horizon and try to trade the chaos (buying dips, selling rips), or zoom out, reduce the focus on headlines, and let the longer-term historical pattern play out. Chapters 00:00 – Why this episode: math + history on conflict volatility 00:30 – Method: last ~12 Middle East U.S. conflict events since 1992 01:05 – One-week results: mixed, volatile chop, not a crash 02:27 – Why the first week feels random (up/down “crap shoot”) 02:55 – One-month results: often positive; exclude the COVID overlap event 03:45 – Six-month results: mostly green, closer to “normal” market behavior 04:53 – What Michael expects this time: week chop → month volatility → move on 05:10 – Walkthrough of recent examples on S&P 500 charts 06:30 – Pattern recap: short-term chop, longer-term markets move on 07:17 – Two choices: trade the chaos or zoom out and disengage

The market is in a spicy macro spot: war headlines, job reports Friday, inflation stress, and a Fed stuck in a tough situation with hot prices and expensive energy. With February and March often frustrating and choppy, this is an environment where going long gets flipped, going short gets flipped—so risk management and speed matter. In this video, I break down how I’m restructuring into a portfolio I can actually sleep with, mixing in lower-volatility, lower-beta names while still looking for clean breakouts and flags. Charts covered: Nokia (NOK), Healthcare (XLV), Dow Inc. (DOW), Honeywell (HON), UPS (UPS), and Netflix (NFLX)—including specific breakout levels, stops, and targets. Sign Up to join Stocktwits! https://stocktwits.com/ Subscribe to Our Channels: Stocktwits: https://www.youtube.com/@stocktwits The best of investing social, news, trends, and community driven market chatter in one place. Cryptotwits: https://www.youtube.com/@CryptotwitsOfficial Crypto news, narratives, and chart talk to keep you ahead of the next big move. True Odds: https://www.youtube.com/@True_Odds-ST Where prediction markets meet sports odds, sharp takes on what the lines are saying, what the market is pricing in, and how real time sentiment can shift the probability. Stocktwits Clips: https://www.youtube.com/@StocktwitsClips Quick hits and the best moments, bite-sized clips you can watch anytime. Boardroom Exclusives: https://www.youtube.com/@BoardroomExclusives Behind the scenes access and exclusive conversations you won’t find anywhere else. Ballpark Figures: https://www.youtube.com/@BallparkFigures-ST Big picture numbers, market context, and the stats that actually matter, made simple. Newsletters: Cryptotwits Newsletter: https://cryptotwits.stocktwits.com/ Your home base for what’s trending in crypto—top stories, heat-check sentiment, and the conversations driving coins, narratives, and the next rotation. Want to know what this means for your money? Follow The Daily Rip 👉 https://thedailyrip.stocktwits.com/ Other Socials: https://linktr.ee/stocktwits_ #philosophicalquant  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/ Chapters 0:12 – Spicy macro: war + jobs report + earnings 0:33 – Double-edged job numbers + inflation + bad PPI 0:51 – Fed stuck: hot inflation + expensive energy 1:12 – February/March chop + taxes + trading stress 1:41 – Volatility = faster trading + lower R:R expectations 2:11 – Portfolio restructure: sleep-well volatility 2:28 – Nokia (NOK): cup/handle idea + breakout ~8.23–8.30, stop ~7.90, target ~11 3:15 – XLV: healthcare flow + entry ~156.69–157 4:02 – DOW: bottoming, stage 2 breakout + flag setup, stop below flag 5:15 – HON: accumulation + breakout ~245–246, “second move” idea 6:03 – Why beta matters in chop + lower-beta names 6:46 – UPS: flag breakout ~115 → target ~123, stop logic via supply/resistance 7:03 – Netflix (NFLX): reversal + strong buying volume + supply overhead 7:33 – NFLX LEAPS: June 2027 100 strike idea 7:55 – Patience on reversals: supply + stuck holders 8:18 – NFLX as a longer-term trade

In this special episode of The Philosophical Quant, Michael and Lia go deep on risk management—the difference between traders who make a killing with a low win rate and traders who get ruined with a high win rate. They break down the concept of R (your risk unit), why risk-to-reward matters more than “being right,” and how a risk-first mindset filters out bad trades. Michael explains percentage-based risk (like risking 1% of an account) and why comparing every result to what you risked is the most important stat. Lia adds the psychological side: risk has to be personally tolerable—if the number stresses you out, reduce it. They also cover why you can’t manage risk the same way across every strategy: counter-trend bounce trades need tight stops and quick results, while breakout trades need more room. The episode closes with a practical framework: define where price can go, define your stop first, and only take trades where you have at least 2R potential—otherwise, skip it and move on. Chapters 00:06 – Special episode: risk management 00:47 – Win rate obsession vs risk-to-reward 01:24 – Pros can lose often and still win (get out fast) 02:09 – Michael’s quant approach: % of account risk per trade 02:49 – Defining “R” (risk unit) and why it matters 04:18 – Lia: 1% typical, 2% max for pros; choose what you can handle 05:40 – Risk is personal; number of trades matters (day trading vs fewer trades) 07:14 – Chart examples: what happens without stops (MSTR) 07:54 – Tight stop bounce logic: exhaustion volume + support 08:22 – Don’t chase: runway, support/resistance, and risk-to-reward (HON example) 09:43 – Different strategies require different risk rules 11:06 – Don’t use a fixed % stop across all tickers (volatility differs) 11:27 – Don’t go long near supply; look for 2R runway (Iran example) 12:34 – Reversals + shorts: short at supply, tight stop (Roblo example) 13:30 – Risk-first checklist: define stop first, demand multiples, skip bad trades 14:49 – No FOMO: there are always more trades 15:07 – Outro + ask for episode topic requests and charts #philosophicalquant 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/

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 00:36 – Lia on Thursday oversold + reversal 01:10 – IGV software ETF: AI fear narrative and selloff 02:28 – 200-week bounce + Nasdaq still choppy 03:05 – Nasdaq: 100-day test, trendline, data week + payrolls 03:58 – Rotation vs QQQ: RSP/IWM strength while software lags 04:33 – Rotation into Dow, staples, biotech, small caps; trade bounces 05:29 – Trading Technique: RSI mean reversion (wait for recovery) 07:10 – Picking “best in breed” via IGV holdings 08:18 – ServiceNow: tight risk, bounce setup, 2022 chop reference 08:45 – Lia’s Figma trade: demand level, target near supply, RSI oversold 10:03 – Mindset Minute: buying new lows + planning risk 10:50 – Lia’s framework: volume exhaustion, round numbers, valuation, puts 12:38 – Michael: assume you can be wrong; pre-define risk 13:35 – Lia: pros think “how much can I lose?” first 14:34 – Traders Clinic begins (audience tickers) 14:47 – MU: parabolic risk + bear-flag view 16:21 – HIMS: lawsuits/FDA narrative; RSI recovery plan 17:32 – Lia’s HIMS bounce trade: stop + gap-fill supply zone 18:48 – PayPal: broken trend, bag holders, slow recovery 21:49 – Close + ask for more questions 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/

In this episode of The Philosophical Quant, Michael and Lia break down a wild, news-and-earnings-driven tape: a Palantir earnings gap that gets rejected, why “public distribution” and Stage 4 risk matter, and what it means when most volume is overhead and traders are trapped. Then we shift to the trading technique of the week: silver’s violent 25% drop, the psychology of parabolic moves, and why these become fast, tactical bounce plays rather than “hold and hope” trend trades. Lia shares how she prefers silver miners instead of pure silver because overnight gaps can wreck stops, and why she’d rather focus on cleaner charts like copper miners and defensive staples. We finish with a trade breakdown Michael is watching: using anchored VWAP around the prior high and a potential short setup into the 95–96 zone — expressed through ZSL (ultra short silver) to manage overnight risk and avoid expensive options volatility. Most importantly: drop your questions. Comment tickers, trading psychology issues, and setups you want us to cover, and we’ll build a weekly Q and A section around your feedback. Chapters 0:12 – Ask us questions + feedback (Q and A segment request) 1:15 – Earnings season and why gaps are hard to trade 1:32 – Palantir earnings gap up, then rejection 2:14 – Public distribution, Stage 4 risk, below 200-day 3:16 – Trading technique: “broken trades” and why to move on 4:42 – Silver mania to a 25% drop: what now? 5:22 – Why Lia prefers miners over silver (gaps, stops) 6:27 – Other parabolic examples and why they can chop for years 8:05 – Silver: trend traders step aside, short-term traders take fast trades 8:43 – Other metals and copper miners (cleaner action) 9:30 – Defensive approach: staples and buffer positions 10:57 – Mindset minute: how to deal with earnings season 11:34 – Hedging long-term holdings into earnings 12:45 – Trade breakdown setup: anchored VWAP and patience 13:54 – Plan: short into 93–96 area, using ZSL 15:27 – Why inverse ETFs help psychologically and for hedging 17:09 – Zones not exact points: “crayon, not a pencil” 18:37 – Reminder: ask questions for next episode 19:07 – Wrap 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/

Michael and Lia explain why 2026 may behave like a choppy, range-bound “midterm year” market and how traders can adapt with mean-reversion tactics like buying demand and selling supply instead of chasing breakouts. They cover practical examples (UNH dip-buying and an Apple dual-RSI setup), then shift into mindset: why having a written trade plan, matching stops to volatility, and respecting timeframe prevents the most common trader failure mode — turning short-term trades into long-term bags.