A Monthly Market Recap Framework for Creators
For financial content creators · Based on Adam Khoo Monthly Market Analysis Framework
// TL;DR
The Adam Khoo Monthly Market Analysis Framework gives financial content creators a repeatable, credible structure for producing monthly market recap videos, newsletters, or threads. Instead of reacting to headlines or making predictions that age badly, you walk your audience through a defensible process: the five-moving-average trend stack, the wave pattern, four support levels, forward P/E versus historical averages, the latest earnings season, sector performance through a secular compounding filter, and macro data framed as entertainment. The result is content that positions you as disciplined and rules-based rather than sensational. Use it as your standing monthly episode template.
Why should creators use a fixed framework instead of reacting to headlines?
Headline-chasing content ages badly and erodes trust. If you predicted a crash that didn't come, your audience remembers. The Adam Khoo Monthly Market Analysis Framework solves this by giving you a repeatable structure that never claims to predict — it states probabilities and always acknowledges the alternative scenario. That makes your content evergreen in format and credible in tone. Every month you run the identical ten steps, so your audience knows exactly what to expect and learns the process alongside you.
How do I structure a monthly market recap?
Use the framework's ten steps as your episode outline. Open with the trend stack — walk viewers through the five moving averages (20 EMA, 40 EMA, 50 MA, 150 MA, 200 MA) on an S&P 500 proxy and state whether the path of least resistance is up. Show the wave pattern on the weekly chart to explain why recent dips are normal. Then reveal your four support levels as 'here's where a pullback would probably find a floor.' This visual, chart-driven segment is highly shareable and screenshot-friendly.
How do I talk about valuation without sounding like a doom-monger?
Present forward P/E versus the 5- and 10-year averages as a quick sanity check, then make the key distinction that separates you from clickbait creators: is this an earnings-driven market or a PE-multiple-driven one? If prices rose but P/E fell, explain that the rally is earnings-supported and therefore more sustainable — a nuanced, credible take. Back it with the latest earnings season: actual growth versus analyst expectations, and how many of the 11 sectors posted double-digit growth. This depth builds authority.
How do I cover macro news my audience is asking about?
Address it directly but frame it correctly. Your audience wants your take on the Fed, yields, CPI, and jobs — so give it, but under the framework's banner: macro is entertainment. Show how the market often moves opposite to the data (weak GDP, market rallies), and use that to teach why macro-based timing fails. This is genuinely differentiated content — most creators treat every data point as tradeable, and you're teaching your audience why that's a trap.
How do I handle the sector rotation questions in my comments?
Expect 'should I buy energy?' every time a commodity sector spikes. Answer with the secular compounding filter: high margins, strong economic moats, high ROE and ROIC. Explain why energy and basic materials fail the test despite short-term outperformance, and introduce the exception test for commodity companies that behave like non-commodity businesses. This turns a repetitive comment into a recurring teaching moment that reinforces your framework.
How do I close every recap responsibly?
End with the probabilistic outlook — a single structured statement covering trend, valuation, earnings, key risk, and the most probable support level — always framed as probability, never prediction. Then state the action rule for your audience: dollar-cost average regardless, accumulate on pullbacks, don't panic, don't FORO. This closing protects your credibility and models good behaviour, which is exactly what a responsible financial creator should reinforce.
Next step: Turn the ten steps into a reusable content template — a slide deck or script skeleton you fill in each month. Save your chart layout with all five moving averages pre-plotted so your monthly production time drops to under an hour. Consistency of format compounds audience trust the same way the framework compounds capital.
// FREQUENTLY ASKED QUESTIONS
Won't a rules-based recap be too boring for my audience?
The opposite — consistency builds trust and a loyal audience that returns monthly for your take. The framework still leaves room for engaging visuals (charts, support levels), timely commentary (this month's earnings surprises, sector movers), and strong opinions (why chasing energy is a trap). What it removes is reckless prediction, which is what actually destroys creator credibility over time.
How do I make market predictions without getting them wrong publicly?
Don't make predictions — state probabilistic outlooks. Frame every conclusion as 'given the trend, earnings, and valuation, the probability is that...' and always name the alternative scenario. This is the framework's core discipline. When you never claim certainty, you're never publicly wrong; you were simply weighing probabilities, which is exactly how a credible analyst communicates.
How do I answer 'should I buy this hot sector' comments?
Run the secular compounding filter on camera: does the sector have high margins, strong moats, and high ROE/ROIC? Explain why cyclical commodity sectors like energy fail despite short-term outperformance, then mention the exception test for commodity companies that behave like non-commodity businesses. This converts a repetitive comment into a recurring, high-value teaching segment that reinforces your framework each month.