About — Defy the Odds
Most investors don’t struggle because they lack ideas. They struggle because for them, Macro is a “black box.”
We are navigating an era defined by AI frenzy, dollar debasement, and a massive global fiscal wave. Headlines run 24/7, but most investors get lost in the noise because they cannot bridge the gap between these abstract forces and the “Buy Button.” They lack a process to translate the Big Picture into coherent, individual stock investments.
Defy the Odds exists to fix that.
I build the framework, run the quant models, and map the macro regime—so you can focus on executing the trade.
The “Tri-Lens” Framework: How I Find The Signal
What makes this newsletter different is that I don’t treat Macro, Quant, and Technicals as separate disciplines. I treat them as a sequential filter to eliminate noise.
Every trade idea I share must survive a systematic, three-step “stress test”:
The Macro Filter (The “Why”): Is the wind at our back? Does the current regime (liquidity, growth, inflation) support this asset class? If the macro says “No,” the trade dies here.
The Machine Learning Model (The “What”): Does the math agree? (Currently in final development) My machine learning model screens thousands of stocks to find the ones with the strongest statistical edge based on valuation and quality factors. It removes emotional bias.
Price Action (The “When”): Is the market actually voting? I look for technical confirmation to ensure we aren’t catching a falling knife.
Why this matters: Macro, Math, and Charts are three completely different languages.
When all three independent frameworks point to the same trade, it is rarely a coincidence. It usually signals institutional conviction, deep liquidity, and a trend fueled by “market will” rather than retail speculation.
I only share ideas that pass all three tests.
What You Get When You Subscribe
The work acts as your institutional research desk and rests on four pillars.
1. The InterMarket Macro Map (The Proprietary Engine)
Spotting the turn before the data confirms it.
Most investors look at absolute price (Is the S&P 500 up?). I look at Relative Strength (What is leading?). Market internals often shift weeks before the headlines do. To capture this, I built a proprietary system tracking 36 key intermarket ratios that act as a real-time dashboard of the market’s internal structure.
Instead of guessing, I systematically track:
True Leadership: Is the rally driven by “High Beta” speculation (Risk-On) or “Quality” safety (Defensive)?
Liquidity Flows: Is money actually entering the system, or just rotating?
Rotation Fatigue: Are the leaders exhausted? Are the laggards waking up?
The Result: You get a clear signal on the “Regime” we are in. This allows us to spot trend shifts and sector rotations at the moment of inception—capturing the Alpha.
2. Monday Macro Playbook (The Game Plan)
Actionable levels for the week ahead.
This is the answer to “OK, but what do I do with this?”. Every Monday, I translate the macro picture into a cheat sheet:
Key Levels: Support/resistance zones across major indices and commodities.
Scenarios: Bullish vs. Bearish paths I am tracking.
Swing Setups: Where the risk/reward aligns with the macro view.
3. Macro-based Machine Learning Stock Selection
Quantitative precision meeting Macro reality.
The single biggest mistake investors make is ignoring the environment. They analyze the “boat” (the stock) but ignore the “ocean” (the macro regime). A “cheap” stock in a liquidity crunch is not a bargain—it is a value trap.
I don’t just throw random tickers at you. I solve the two main failures of stock picking:
Ignoring the Macro: Even the best fundamental analysis fails if you are fighting the tide. I only select sectors that are favored by the current regime (e.g., buying Industrials when growth accelerates, not when it collapses).
Unproven Filters: Most screening is based on gut feeling. My Machine Learning model is different. It ranks thousands of stocks based on statistically proven factors (Valuation, Quality, Momentum) that have historically generated Alpha.
The Result: A transparent shortlist of high-probability candidates. I don’t ask “Is this a good company?” I ask: “Is this a high-quality company, trading at a statistical discount, supported by the current macro tailwind?”
4. Occasional Event-Driven Scenario Trees
Navigating the volatility.
For major events (FOMC, CPI, Elections, trade war, geopolitics), I build scenario trees (A/B/C) to define:
What is priced in?
What would genuinely surprise the market?
Which assets offer the most asymmetric payoff if the consensus is wrong?
Who Is This For?
You will get value here if:
You are a swing trader who is tired of trading in a vacuum and wants a professional macro overlay to validate your setups.
You are an active investor who wants to build a portfolio based on proven factors and regime analysis, rather than just chasing “good stories” at the wrong time.
You value your time. You want the depth of an institutional research desk but synthesized into concise, actionable notes.
My Promise
No empty clickbait. No “hot takes” without data. Just a constant focus on the question: “How does this translate into better portfolio decisions?”
My objective is twofold:
The Strategic Core: To replace guesswork with systematic selection. I use the ML Model and Macro filters to uncover undervalued, high-quality stocks that form the durable foundation of your portfolio—ensuring the math supports the narrative.
The Tactical Overlay: To execute macro-based swing trades confirmed by price action, designed to generate alpha (excess returns) and manage downside risk when the market internals signal a shift.
If you like the idea of macro, quant, and price action working together instead of fighting each other—welcome aboard.
Disclaimer: Nothing here is financial advice. These are reflections on macroeconomics and markets, meant to spark ideas and sharpen decision-making. To truly Defy the Odds, think independently, question everything, and do your own homework.
