CAPITALINA

Disclaimer

These guides are for educational and informational purposes only. They are not financial, investment, or tax advice, and nothing here is a recommendation to buy or sell any security. I am not a licensed financial advisor, and this content does not consider your individual circumstances. I may hold positions in the securities or funds mentioned. All figures are generated by an AI model, are approximate, may be out of date, and are not guaranteed to be accurate. A score is a model output, not a verdict. Verify independently and consult a licensed professional before investing. You are
responsible for your own investment decisions.

Not financial advice. For educational purposes only. Do your own research.

IMPORTANT – How to set this up: Copy the full prompt block at the bottom of this guide into your Claude Project instructions (or paste it at the start of a new conversation). Once it’s in, just type any code — like /bull APP — and Claude will run the full analysis for you.

Why This Exists

Most retail investors research stocks the same way — Google, Reddit, maybe a CNBC article. Without a repeatable framework, you end up with a pile of information and no clear way to turn it into a decision.

These 105 secret codes give you that structure. Each one triggers a specific, institutional-grade analysis — the kind of deep dive that hedge fund analysts run before putting a position on. The difference is you can run it in seconds, on any stock, any time.

Think of it like having a research analyst on call. You give the ticker, you call the code, you get the output.

The 105 Codes — What They Do & Why They Matter

SECTION 1 — THE CORE 5 (Start Here)

These are the five foundational codes. Run all five on any stock you’re seriously considering and you’ll have a more complete picture than 95% of retail investors.

/bull [ticker]
Builds the bull case — market narrative, key catalysts, institutional positioning, and a confidence score. Forces you to understand why someone would want to own this stock, even if you’re skeptical.

Why it matters: You can’t evaluate a stock properly if you don’t understand what the optimists see. This is step one.

/bear [ticker]
Builds the bear case — valuation risks, structural threats, regulatory headwinds, balance sheet concerns, narrative risks. Equally rigorous to the bull case.

Why it matters: Most retail investors only read bull case content. The bear case is where the real edge lives.

/fund [ticker]
Fundamentals deep dive — balance sheet health, cash flow quality, profitability trends, margin trajectory, return on capital. The raw financial picture.

Why it matters: Stories drive stock prices short-term. Fundamentals determine whether the story holds up long-term.

/earn [ticker]
Earnings analysis — last quarter results, beat/miss breakdown, management guidance, forward estimates, next earnings date, scenario analysis.

Why it matters: Earnings are the single most important recurring event for any stock. Knowing what to expect — and what would surprise — is a genuine edge.

/price [ticker]
Valuation analysis — current multiples vs own history, vs peers, implied growth rates, what the market is pricing in, analyst price targets, verdict.

Why it matters: A great business at the wrong price is still a bad investment. This code tells you whether you’re paying fair value, a premium, or getting a discount.

SECTION 2 — COMPANY DEEP DIVE

Use these when you want to go beyond the numbers and understand the business itself.

/moat [ticker]
Analyses competitive advantage — pricing power, switching costs, network effects, cost advantages, intangible assets. Scores the durability of the moat.

Why it matters: Moats are what separate compounders from commodities. A wide moat means earnings power is defensible over time — which is what justifies a premium multiple.

/mgmt [ticker]
Evaluates management quality — capital allocation track record, insider ownership levels, compensation structure, communication style, red flags.

Why it matters: You’re betting on the people running the business as much as the business itself. Bad management destroys great businesses. Great management salvages mediocre ones.

/story [ticker]
Distils the investment thesis to plain English — the two-sentence version of why this stock is interesting right now.

Why it matters: If you can’t explain why you own something in two sentences, you probably don’t understand it well enough to size it properly.

/risk [ticker]
Identifies the top 5 tail risks that could break the investment thesis — with probability assessments for each.

Why it matters: Risk management starts with knowing exactly what could go wrong. Most investors are vague about risks. This forces specificity.

/catalyst [ticker]
Maps upcoming catalysts — earnings, product launches, regulatory decisions, analyst days, macro events — and what each one could mean for the stock.

Why it matters: Catalysts are the bridge between a good thesis and a stock that actually moves. Knowing the calendar is half the battle.

/contra [ticker]
Steel-mans the opposite side of your current view — if you’re bullish, builds the strongest possible bear case, and vice versa.

Why it matters: Confirmation bias is the most expensive mistake in investing. This code exists to fight it.

/scuttle [ticker]
Identifies the specific thesis killers — the precise events or data points that would immediately invalidate the bull or bear case.

Why it matters: Pre-defining exit conditions before you’re emotionally invested in a position is one of the most disciplined things you can do as an investor.

/quality [ticker]
Scores business quality across multiple dimensions — consistency of returns on capital, margin stability, pricing power, free cash flow conversion, earnings quality.

Why it matters: High-quality businesses are resilient through economic cycles. Understanding quality helps you stay conviction when prices temporarily move against you.

/cycle [ticker]
Analyses where this company sits in its industry and product cycle — early growth, scaling, mature, or declining.

Why it matters: Cycle positioning determines both risk and return expectations. A business in late-cycle looks very different from one in early-cycle, even if the numbers look similar today.

/insiders [ticker]
Tracks recent insider buying and selling activity — who, how much, at what price, and what it historically signals for this name.

Why it matters: Insiders know things outsiders don’t. Systematic buying is one of the most reliable bullish signals in the market. Heavy selling is often ignored and shouldn’t be.

SECTION 3 — VALUATION TOOLS

For when you want to go deeper on whether the price is right.

/dcf [ticker]
Runs a quick discounted cash flow sensitivity — showing what growth and margin assumptions are needed to justify the current price.

Why it matters: A DCF forces you to be explicit about your assumptions. Vague optimism doesn’t survive a DCF.

/comps [ticker]
Compares valuation multiples against the closest peers — P/E, EV/EBITDA, EV/Sales, P/FCF, PEG — with context on why gaps exist.

Why it matters: No multiple means anything in isolation. A 30x P/E is cheap in one sector and expensive in another. Comps give you the context.

/reverse [ticker]
Reverse DCF — works backward from the current stock price to show what the market is implicitly assuming about future growth and margins.

Why it matters: This is one of the most powerful valuation tools almost no retail investor uses. It reframes the question from “is this a good business?” to “is the market’s implied forecast reasonable?”

/sum [ticker]
Sum-of-the-parts breakdown — values each business segment separately and adds them up to find hidden value or identify where the market is mispricing something.

Why it matters: Conglomerates and multi-segment businesses are routinely mispriced because the market applies a blended multiple. Breaking it apart often reveals value.

/hist [ticker]
Historical multiple range analysis — shows where this stock has traded on key metrics over 5 and 10 years, and where it sits today relative to those ranges.

Why it matters: Mean reversion is real. A stock trading at the top of its historical multiple range deserves more scrutiny than the same stock at the bottom.

/pvgr [ticker]
Price vs growth rate check — the PEG ratio in depth. Are you paying a fair price for the growth rate on offer?

Why it matters: The most common valuation mistake is paying a high multiple without checking whether the growth justifies it.

/acqui [ticker]
Private equity acquisition analysis — what a financial buyer would pay, leverage assumptions, IRR at current price, and how that compares to the public market valuation.

Why it matters: PE acquisition multiples are a real-world floor on valuations. If a PE firm would pay more than the current market price, that’s a meaningful data point.

/yield [ticker]
Unified yield view — FCF yield, earnings yield, dividend yield, and how each compares to risk-free rates and peers.

Why it matters: Yield-based valuation cuts through narrative. A 5% FCF yield in a 4.5% rate environment tells you something concrete about relative value.

/floor [ticker]
Downside scenario — in a bear case, what’s the realistic floor? Models out the worst plausible outcome and what the stock is worth in that scenario.

Why it matters: Asymmetric investing starts with understanding your maximum loss. Knowing the floor helps you size positions and sleep at night.

/ceil [ticker]
Upside scenario — in a bull case, what’s the ceiling? Models out the best plausible outcome and what the stock is worth if everything goes right.

Why it matters: Risk/reward is the only thing that matters in investing. You can’t calculate risk/reward without knowing both ends of the range.

SECTION 4 — MACRO & MARKET CONTEXT

For understanding the environment your investment is operating in.

/macro [ticker]
Identifies key macro tailwinds and headwinds currently affecting this sector — rates, inflation, growth, geopolitics.

Why it matters: Even the best stock can underperform in a hostile macro environment. Understanding the tide tells you how hard the swimmer has to work.

/rates [ticker]
Interest rate sensitivity analysis — how does this stock historically perform in rising vs falling rate environments, and what’s the duration risk embedded in the valuation?

Why it matters: Rate sensitivity is one of the most underappreciated risks in equity investing. Long-duration growth stocks are effectively bond proxies.

/dollar [ticker]
USD exposure analysis — revenue breakdown by geography, FX headwinds/tailwinds, natural hedges, and sensitivity to dollar strength/weakness.

Why it matters: A 10% move in the dollar can have a meaningful impact on earnings for globally exposed companies. Most retail investors don’t model this.

/cycle2 [ticker]
Economic cycle positioning — early, mid, or late cycle — and what that historically means for this sector and stock.

Why it matters: Different sectors perform very differently at different points in the economic cycle. Knowing where you are helps you tilt the odds.

/regime
Current market regime assessment — risk-on vs risk-off, momentum vs value, growth vs defensive. What environment are we in right now?

Why it matters: Strategy that works in a risk-on momentum environment can destroy capital in a risk-off regime. Regime awareness is portfolio-level risk management.

/fear [ticker]
Sentiment gauge — fear vs greed indicators for this specific name, short interest trends, put/call ratios, analyst sentiment shifts.

Why it matters: Extreme sentiment is one of the most reliable contrarian signals. Maximum fear and maximum greed are both entry/exit opportunities.

/flows [ticker]
Institutional fund flow analysis — is money moving into or out of this sector? What are the biggest funds doing?

Why it matters: Price follows flows in the short term. Understanding where institutional capital is moving gives you a window into near-term supply/demand dynamics.

/rotation
Sector rotation signal — where is money moving across the market right now, and which sectors are attracting or losing capital?

Why it matters: Being in the right sector at the right time often matters more than picking the right stock within a sector.

/credit [ticker]
Credit market signal — what are investment grade and high yield spreads telling us about risk appetite in this sector?

Why it matters: Credit markets often lead equity markets. Widening spreads are an early warning signal that equity markets sometimes miss.

/vix
Volatility context — current VIX level, term structure, what it implies about near-term market expectations, and how to use it as a positioning tool.

Why it matters: The VIX is the market’s fear gauge. Understanding when options are cheap or expensive changes how you should structure positions.

SECTION 5 — SECTOR & INDUSTRY

For understanding the competitive landscape and industry dynamics.

/sector [ticker]
Full sector overview — key players, structural trends, tailwinds and headwinds, valuation landscape across the space.

Why it matters: You can’t evaluate a company without understanding the industry it operates in. Context changes everything.

/tam [ticker]
Total addressable market analysis — how big is the market, what’s the current penetration rate, and what’s the realistic growth runway?

Why it matters: TAM analysis separates genuine growth stories from ones that have already saturated their market. It’s the foundation of any growth thesis.

/compete [ticker]
Competitive landscape deep dive — who are the real threats, what are their strengths, where is disruption coming from?

Why it matters: Competition determines long-term margins. Understanding the competitive map is essential before you bet on anyone in an industry.

/supply [ticker]
Supply chain analysis — key dependencies, concentration risk, vulnerabilities, and strategic optionality.

Why it matters: Supply chain risk became impossible to ignore post-2020. Single points of failure in supply chains can derail even the best businesses.

/reg [ticker]
Regulatory environment analysis — current regulatory risks, pending changes, historical precedents, and management’s exposure.

Why it matters: Regulation can change the economics of an entire industry overnight. It’s a risk that’s often underpriced until it’s too late.

/disrupt [ticker]
Disruption risk assessment — is this business model under structural threat from technology, new entrants, or changing consumer behaviour?

Why it matters: The most dangerous risks are the slow-moving ones. Disruption risk is often visible years before it shows up in the numbers.

/leader [ticker]
Category leader analysis — what makes the market leader dominant, what’s their sustainable edge, how defensible is their position?

Why it matters: Understanding what makes a leader a leader teaches you what to look for — and tells you when that edge is starting to erode.

/laggard [ticker]
Weakest player analysis — what makes the weakest company in this sector vulnerable, and is there a short case here?

Why it matters: Sometimes the best trade in a sector is shorting the weakest player. This code helps you identify it.

/private [ticker]
Private market comparables — what are similar private companies being valued at, and what does that tell you about the public market valuation?

Why it matters: Private market valuations are a real-world reference point that most public market investors ignore.

/cycle3 [ticker]
Industry-specific cycle analysis — semiconductors, housing, energy, biotech, financials each have their own cycles. Where are we right now?

Why it matters: Industry cycles are more predictable than most investors think. Knowing where you are in the cycle dramatically improves timing decisions.

SECTION 6 — TECHNICAL & POSITIONING

For understanding price action and how the market is positioned.

/tech [ticker]
Key technical levels — support, resistance, trend structure, moving averages, and what a break of key levels would mean.

Why it matters: Even fundamental investors benefit from knowing where technical traders are positioned. Support and resistance levels are self-fulfilling because enough people watch them.

/short [ticker]
Short interest analysis — current short interest as a percentage of float, borrow cost, recent trends, and squeeze potential.

Why it matters: High short interest can become fuel for a squeeze rally, or it can be smart money flagging a problem. Knowing which requires context.

/position [ticker]
Market positioning analysis — is this a crowded long, crowded short, or under-owned name? What does positioning imply for near-term risk/reward?

Why it matters: Crowded trades are dangerous regardless of the fundamental thesis. The unwind of a crowded position hurts everyone.

/flow2 [ticker]
Options flow analysis — unusual options activity, large bets, put/call skew, what the smart money options market is doing.

Why it matters: Large options trades often precede significant price moves. Unusual activity is a signal worth paying attention to.

/momentum [ticker]
Price momentum analysis — trend strength, relative performance vs sector and market, momentum signals.

Why it matters: Momentum is one of the most persistent anomalies in financial markets. Price trends tend to continue longer than fundamentalists expect.

/break [ticker]
Breakout/breakdown watch — the specific price level that would change the technical picture, and what a move through it historically means.

Why it matters: Identifying key levels in advance means you’re not reacting emotionally when the stock moves. You already know your plan.

/vol [ticker]
Implied volatility analysis — is options volatility cheap or expensive relative to historical norms? What events are being priced in?

Why it matters: Cheap options are opportunities. Expensive options are warnings. Knowing which you’re dealing with changes how you express a view.

/squeeze [ticker]
Short squeeze setup analysis — current conditions, what would trigger a squeeze, magnitude estimate, historical precedents in this name.

Why it matters: Short squeezes create asymmetric opportunities if you spot them before they happen.

/breadth
Market breadth analysis — is the current rally or selloff broad-based or driven by a few large names? What does that say about durability?

Why it matters: Narrow rallies led by a handful of stocks are historically fragile. Broad participation signals healthier market conditions.

/diverge [ticker]
Price vs fundamentals divergence — is the stock price disconnected from underlying business performance in either direction?

Why it matters: Divergences are where opportunities live. A stock that’s fallen significantly while fundamentals remain intact is exactly the kind of setup value investors look for.

SECTION 7 — PORTFOLIO MANAGEMENT

For turning individual stock analysis into portfolio-level decisions.

/size [ticker]
Position sizing framework — given the risk/reward, conviction level, and portfolio context, how much should you own?

Why it matters: Position sizing is arguably more important than stock selection. A great idea at 0.5% position size won’t move the needle. A bad idea at 20% can be catastrophic.

/corr [ticker]
Correlation analysis — how does this stock move relative to others in your portfolio? Does it add diversification or concentration?

Why it matters: Owning ten stocks that all crash together isn’t diversification. Understanding correlations is basic portfolio hygiene.

/hedge [ticker]
Hedging options — what instruments or positions would offset the main risks of this holding?

Why it matters: Hedging isn’t about eliminating upside — it’s about surviving the scenarios where you’re wrong.

/entry [ticker]
Entry strategy — scale in now, wait for a pullback, average in over time? What does the current setup suggest?

Why it matters: How you enter a position affects your average cost and emotional resilience. A good entry makes it easier to hold through volatility.

/exit [ticker]
Exit strategy — price targets, time-based stops, thesis-based stops. When and how do you get out?

Why it matters: Most investors think carefully about when to buy. Almost nobody has a pre-defined exit plan. That gap is expensive.

/trim [ticker]
Trim signals — the specific conditions that suggest taking some profit off the table, even if the long-term thesis is intact.

Why it matters: Knowing when to trim is different from knowing when to sell. Partial profit-taking reduces risk without abandoning a working thesis.

/add [ticker]
Add signals — the conditions that justify increasing exposure to an existing position.

Why it matters: Adding to winners at the right time is one of the most underused skills in investing. This code gives you a framework for when to do it.

/hold [ticker]
The long-term hold case — why this is a multi-year compounder, what it looks like in three to five years, and why patience is the right strategy.

Why it matters: Short-term noise constantly tempts investors to trade out of great long-term positions. Having the long-term picture written down helps you stay the course.

/cut [ticker]
Loss-cutting framework — when does a position become a thesis failure rather than a temporary drawdown, and what’s the right process for cutting?

Why it matters: The most expensive mistakes in investing are the ones where a small loss becomes a catastrophic one because the investor couldn’t admit they were wrong.

/rebal
Portfolio rebalancing triggers — when does drift in position sizes or sector exposures warrant rebalancing?

Why it matters: A portfolio that started well-constructed can become dangerously concentrated over time as winners grow. Rebalancing discipline prevents this.

SECTION 8 — SPECIAL SITUATIONS

For non-standard investment setups that require specialised analysis.

/merger [ticker]
M&A analysis — deal terms, synergy estimates, risk of deal break, current spread, regulatory hurdles, expected timeline.

Why it matters: Merger arbitrage is a distinct strategy with its own risk/reward profile. Understanding deal mechanics is essential before trading into a spread.

/spin [ticker]
Spinoff analysis — why spinoffs historically outperform, the specific dynamics of this situation, and what to watch.

Why it matters: Spinoffs are one of the most documented sources of alpha in the market. They’re often mispriced at inception because the initial shareholder base is forced sellers.

/activism [ticker]
Activist investor situation — who’s involved, what they’re pushing for, probability of success, and how the stock typically reacts.

Why it matters: Activism is a catalyst that can compress a long thesis into a short timeframe. Understanding what the activist wants tells you where the stock could go.

/ipo [ticker]
IPO analysis — valuation vs comparable public companies, lock-up expiry dynamics, float size, and whether the first-day pop is justified.

Why it matters: IPOs are structurally priced to benefit insiders over public buyers. Knowing how to evaluate them helps you avoid overpaying on day one.

/spac [ticker]
SPAC analysis — trust value, deal quality, dilution from warrants and pipes, redemption dynamics, and whether the de-SPAC trade makes sense.

Why it matters: Most SPACs destroy value for public shareholders. The few that don’t tend to have specific characteristics this analysis helps identify.

/distress [ticker]
Distressed company analysis — debt stack, asset coverage, recovery value in different scenarios, restructuring pathway, equity option value.

Why it matters: Distressed investing requires a completely different analytical framework. The equity can be worth zero or a lot depending on the debt structure.

/turna [ticker]
Turnaround analysis — what needs to go right, management credibility, historical precedents, timeline, and where the stock goes if the turnaround works.

Why it matters: Turnarounds are high-risk, high-reward. The key is distinguishing between genuine turnarounds and value traps.

/buyback [ticker]
Buyback analysis — is the buyback accretive or destructive at current prices? Is management buying back at fair value, a discount, or a premium?

Why it matters: Buybacks are only value-creating when done at the right price. Many companies have destroyed billions buying their own stock at the top.

/div [ticker]
Dividend analysis — payout ratio, FCF coverage, growth trajectory, sustainability in a downturn, and what the yield implies about valuation.

Why it matters: A dividend cut is one of the most painful events for income investors. Understanding coverage ratios in advance prevents surprises.

/split [ticker]
Stock split or reverse split analysis — what it signals about management’s view of the stock, historical price performance post-split, and mechanics.

Why it matters: Stock splits don’t change underlying value, but they do change accessibility and sentiment. Understanding the historical patterns helps you trade the event.

SECTION 9 — EARNINGS & ESTIMATES

For mastering the earnings cycle — the most important recurring event in stock investing.

/whisper [ticker]
Whisper number analysis — what the smart money actually expects vs the published consensus, and where the real bar is set.

Why it matters: Stocks react to beats and misses relative to the whisper number, not the published consensus. Knowing the difference is a genuine information edge.

/guide [ticker]
Management guidance quality assessment — is this management team conservative, aggressive, or sandbagging? What’s their historical guidance track record?

Why it matters: Some management teams consistently under-promise and over-deliver. Others are perennially optimistic. Knowing which you’re dealing with changes how you interpret guidance.

/est [ticker]
Estimate revision trend — are analyst estimates moving up or down over the past 30, 60, and 90 days?

Why it matters: Estimate revision momentum is one of the most reliable predictors of near-term stock performance. Up-revisions attract buyers. Down-revisions drive selling.

/beat [ticker]
Beat probability analysis — given the setup, the whisper number, and historical patterns, what’s the probability of a beat this quarter?

Why it matters: Going into earnings without a beat/miss framework is flying blind. This code gives you a probability-weighted view.

/miss [ticker]
Miss risk analysis — where could the number disappoint? Which line item is most likely to come in below expectations?

Why it matters: Understanding where the risk is concentrated lets you decide whether the risk/reward of holding through earnings is worth it.

/react [ticker]
Earnings reaction analysis — how has this stock historically reacted to beats and misses? Does it sell the news even when it beats?

Why it matters: Some stocks are structurally “sell the news” on beats. Knowing this in advance stops you from being surprised by a counterintuitive reaction.

/season [ticker]
Earnings season context — what have comparable companies in the sector reported, and what does that signal about this upcoming print?

Why it matters: Sector peers often telegraph what a company is about to report. Early reporters in a sector contain information about later reporters.

/event
Full event calendar — next 30, 60, 90 days of key events across the market: earnings, Fed meetings, economic data, product launches.

Why it matters: Calendar awareness is basic risk management. You should never be surprised by a scheduled event.

/conf [ticker]
Investor conference signal tracker — what has management said recently at public conferences, and does it change the near-term outlook?

Why it matters: Management often pre-signals at conferences before earnings. These are public comments that most retail investors miss.

/pre [ticker]
Pre-announcement risk assessment — given the setup, what’s the risk of a negative pre-announcement before the official earnings date?

Why it matters: Pre-announcements are brutal. A stock can fall 15–20% overnight on a warning. This code helps you assess how exposed you are.

SECTION 10 — QUANTITATIVE CHECKS

For screening and cross-checking with systematic, numbers-based analysis.

/score [ticker]
Piotroski F-Score or similar fundamental health check — a systematic 9-point scoring of financial health.

Why it matters: The F-Score was designed to identify companies with improving fundamentals. High scores have historically outperformed. It takes the subjectivity out of fundamental screening.

/dupont [ticker]
DuPont decomposition of ROE — breaking return on equity into profitability, efficiency, and leverage components to understand where it’s really coming from.

Why it matters: Two companies can have the same ROE for completely different reasons. DuPont tells you whether the ROE is earned through genuine profitability or financial engineering.

/altman [ticker]
Altman Z-Score calculation — the classic bankruptcy prediction model. Is this company financially safe, in a grey zone, or in distress territory?

Why it matters: The Z-Score catches deteriorating financial health before it becomes obvious in stock price. It’s a structured early warning system.

/accrual [ticker]
Accruals ratio analysis — how much of reported earnings is cash vs accounting accruals? Is earnings quality high or suspiciously low?

Why it matters: High accruals are one of the most reliable signals of earnings quality problems. They often precede restatements, guidance cuts, or outright fraud.

/rev [ticker]
Revenue quality assessment — how much is recurring vs one-time, organic vs acquired, real underlying demand vs channel-stuffed inventory?

Why it matters: Not all revenue is created equal. Recurring, organic revenue from genuine demand is worth a premium multiple. One-time, acquired, or pulled-forward revenue is not.

/margin [ticker]
Margin trajectory analysis — where are gross, operating, and net margins headed? Expanding, contracting, or mean-reverting?

Why it matters: Margin trajectory often matters more than the current margin level. An expanding margin story at 15% can be more interesting than a contracting one at 30%.

/lever [ticker]
Operating leverage analysis — how does revenue growth translate to profit growth? What does a 10% revenue upside mean for EPS?

Why it matters: High operating leverage companies are amplifiers — small revenue beats drive big earnings beats. Understanding this helps you model the right EPS scenarios.

/capex [ticker]
Capital expenditure analysis — maintenance vs growth capex, capital efficiency over time, and whether the capex is generating adequate returns.

Why it matters: Capex-heavy businesses can look profitable on a P/E basis but generate very little real free cash flow. This code strips that out.

/wc [ticker]
Working capital trend analysis — accounts receivable days, inventory days, payable days, and whether the trends signal business deterioration.

Why it matters: Working capital deterioration is one of the earliest warning signs of a business in trouble — often visible quarters before it shows up in earnings.

/cash [ticker]
Cash conversion cycle analysis — how efficiently does this business turn revenue into actual cash in the bank?

Why it matters: Companies that convert revenue to cash quickly are fundamentally more valuable than those that don’t. This metric is a proxy for business model quality.

SECTION 11 — SENTIMENT & NARRATIVE

For reading the room — what the market thinks and where the narrative is heading.

/narrative [ticker]
Dominant market narrative analysis — what story is the market currently telling about this stock, and is that story justified by the data?

Why it matters: Narratives drive valuations in the short term more than fundamentals do. Understanding the prevailing narrative helps you know what you’re actually betting on.

/contra2 [ticker]
Contrarian read — what does the consensus get wrong about this stock, and where is the mispricing likely to be?

Why it matters: Alpha comes from being right when the consensus is wrong. This code forces you to identify where the crowd might be making a mistake.

/hype [ticker]
Hype assessment — how much of the current valuation is based on story vs verifiable substance? What’s the hype premium?

Why it matters: Hype can sustain a valuation for longer than rational analysis suggests. But it always corrects. Knowing how much you’re paying for hype helps you size the risk.

/dark [ticker]
Dark scenario analysis — the low-probability, high-impact bad outcome that most bulls don’t discuss. The real tail risk.

Why it matters: Tail risks are by definition underpriced because nobody wants to think about them. Identifying them early is genuine risk management, not pessimism.

/cover [ticker]
Magazine cover indicator — is this stock so universally loved (or hated) that the contrarian move is to go the other way?

Why it matters: When a stock makes the magazine cover, the narrative is usually fully priced. The magazine cover indicator is a sentiment extreme signal.

/retail [ticker]
Retail investor sentiment analysis — Reddit trends, social media mentions, retail flow data, and what it signals about near-term price action.

Why it matters: Retail flows have become a meaningful market force. Extreme retail enthusiasm is often a contrarian sell signal.

/inst [ticker]
Institutional ownership changes — which major funds have been quietly buying or selling, and what does the 13F data tell you?

Why it matters: Institutional investors do deep work. When major long-only funds with strong track records are quietly accumulating, that’s worth paying attention to.

/news [ticker]
News flow quality analysis — is recent coverage signal or noise? Which stories matter and which are distractions?

Why it matters: Financial media creates a constant stream of noise. The ability to distinguish signal from noise is one of the most valuable skills in investing.

/memo [ticker]
One-page investment memo — full thesis, key risks, price target, entry conditions, exit conditions, all on one page.

Why it matters: Writing forces clarity. An investment memo that’s clear and concise is the best test of whether you actually understand your own thesis.

/compare [ticker1] [ticker2]
Head-to-head comparison — two companies in the same sector analysed side by side across fundamentals, valuation, growth, and risk.

Why it matters: Capital allocation decisions are always relative. Is this the best way to get exposure to this sector? Head-to-head analysis answers that question.

HOW TO SET UP YOUR SYSTEM

Option A — Claude Project (Recommended)

This is the best setup if you use Claude regularly. A Project remembers the instructions across every conversation.

1. Go to claude.ai and click Projects in the left sidebar
2. Create a new project
3. Click into the project, then find Project Instructions (the settings/edit area)
4. Copy the full system prompt below and paste it into the Project Instructions
5. Start a new conversation inside the project and type /bull AAPL to test it

Every conversation you start inside that project will have access to all 105 codes automatically.

Option B — Single Conversation

If you don’t want to use Projects, just paste the system prompt at the very start of a new conversation as your first message. It’ll work for that conversation only.

THE SYSTEM PROMPT — COPY THIS

Paste everything between the lines into your Claude Project instructions or at the start of a conversation.

You are an institutional-grade investment research analyst.
You respond to secret codes typed by the user. Each code triggers a specific, structured analysis. Always use real-time search where possible to ground your analysis in current data. Be direct, be specific, and avoid vague generalisations.
When a code is used, run the full analysis for the ticker or topic provided. Structure each response with clear sections, a confidence or health score where relevant, and a plain-English verdict at the end.
Here are all the codes you respond to:
CORE 5:
/bull [ticker] — Full bull case: market narrative, catalysts, institutional view, confidence score
/bear [ticker] — Full bear case: risks, structural threats, valuation concerns, bear confidence score
/fund [ticker] — Fundamentals: balance sheet, cash flow quality, margins, return on capital
/earn [ticker] — Earnings: last quarter results, estimates, guidance, next date, scenarios
/price [ticker] — Valuation: current multiples vs history and peers, implied growth, analyst targets, verdict
COMPANY DEEP DIVE:
/moat [ticker] — Competitive advantage analysis and durability score
/mgmt [ticker] — Management quality, track record, insider ownership, red flags
/story [ticker] — The thesis in plain English, two sentences
/risk [ticker] — Top 5 tail risks with probability assessments
/catalyst [ticker] — Upcoming catalysts and what each means for the stock
/contra [ticker] — Steel-man the opposite side of your current view
/scuttle [ticker] — Thesis killers — what would make you exit immediately
/quality [ticker] — Business quality scorecard
/cycle [ticker] — Product and industry cycle positioning
/insiders [ticker] — Insider activity analysis
VALUATION TOOLS:
/dcf [ticker] — DCF sensitivity: what does the current price imply?
/comps [ticker] — Comparable company multiples
/reverse [ticker] — Reverse DCF: what is the market assuming?
/sum [ticker] — Sum of the parts breakdown
/hist [ticker] — Historical multiple range vs current
/pvgr [ticker] — Price vs growth rate, PEG in depth
/acqui [ticker] — Private equity acquisition value
/yield [ticker] — FCF yield, earnings yield, dividend yield
/floor [ticker] — Downside scenario and floor valuation
/ceil [ticker] — Upside scenario and ceiling valuation
MACRO & MARKET:
/macro [ticker] — Macro tailwinds and headwinds for the sector
/rates [ticker] — Interest rate sensitivity analysis
/dollar [ticker] — USD exposure and FX risk
/cycle2 [ticker] — Economic cycle positioning
/regime — Current market regime assessment
/fear [ticker] — Sentiment gauge: fear vs greed
/flows [ticker] — Institutional fund flow trends
/rotation — Sector rotation signals
/credit [ticker] — Credit market signals
/vix — Volatility context and positioning
SECTOR & INDUSTRY:
/sector [ticker] — Full sector overview
/tam [ticker] — Total addressable market sizing
/compete [ticker] — Competitive landscape
/supply [ticker] — Supply chain analysis
/reg [ticker] — Regulatory environment
/disrupt [ticker] — Disruption risk assessment
/leader [ticker] — Category leader analysis
/laggard [ticker] — Weakest player and short case
/private [ticker] — Private market comparables
/cycle3 [ticker] — Industry-specific cycle
TECHNICAL & POSITIONING:
/tech [ticker] — Key technical levels
/short [ticker] — Short interest and squeeze risk
/position [ticker] — Market positioning: crowded or under-owned
/flow2 [ticker] — Options flow analysis
/momentum [ticker] — Price momentum signals
/break [ticker] — Breakout/breakdown watch
/vol [ticker] — Implied volatility analysis
/squeeze [ticker] — Short squeeze setup
/breadth — Market breadth check
/diverge [ticker] — Price vs fundamentals divergence
PORTFOLIO MANAGEMENT:
/size [ticker] — Position sizing framework
/corr [ticker] — Correlation and portfolio fit
/hedge [ticker] — Hedging options
/entry [ticker] — Entry strategy
/exit [ticker] — Exit strategy and stops
/trim [ticker] — When to trim signals
/add [ticker] — When to add signals
/hold [ticker] — Long-term compounder case
/cut [ticker] — Loss-cutting framework
/rebal — Portfolio rebalancing triggers
SPECIAL SITUATIONS:
/merger [ticker] — M&A analysis and deal spread
/spin [ticker] — Spinoff analysis
/activism [ticker] — Activist investor situation
/ipo [ticker] — IPO analysis
/spac [ticker] — SPAC analysis
/distress [ticker] — Distressed company analysis
/turna [ticker] — Turnaround analysis
/buyback [ticker] — Buyback accretion/dilution analysis
/div [ticker] — Dividend analysis and sustainability
/split [ticker] — Stock split analysis
EARNINGS & ESTIMATES:
/whisper [ticker] — Whisper number vs consensus
/guide [ticker] — Management guidance quality
/est [ticker] — Estimate revision trends
/beat [ticker] — Beat probability analysis
/miss [ticker] — Miss risk analysis
/react [ticker] — Historical earnings reaction patterns
/season [ticker] — Earnings season sector context
/event — Key event calendar (next 90 days)
/conf [ticker] — Investor conference signals
/pre [ticker] — Pre-announcement risk
QUANTITATIVE CHECKS:
/score [ticker] — Piotroski F-Score and health check
/dupont [ticker] — DuPont ROE decomposition
/altman [ticker] — Altman Z-Score bankruptcy screen
/accrual [ticker] — Accruals ratio and earnings quality
/rev [ticker] — Revenue quality assessment
/margin [ticker] — Margin trajectory analysis
/lever [ticker] — Operating leverage analysis
/capex [ticker] — Capital expenditure analysis
/wc [ticker] — Working capital trend analysis
/cash [ticker] — Cash conversion cycle
SENTIMENT & NARRATIVE:
/narrative [ticker] — Dominant market narrative
/contra2 [ticker] — Contrarian read on consensus
/hype [ticker] — Hype vs substance assessment
/dark [ticker] — Dark scenario / tail risk
/cover [ticker] — Magazine cover / sentiment extreme indicator
/retail [ticker] — Retail investor sentiment
/inst [ticker] — Institutional ownership changes
/news [ticker] — News flow signal vs noise
/memo [ticker] — One-page investment memo
/compare [ticker1] [ticker2] — Head-to-head comparison
Always search for current data before responding. Cite specific numbers where available. End every analysis with a plain-English verdict and a score where applicable.

Sourse: https://scratch-jasmine-1ab.notion.site/100-Secret-Claude-Codes-For-Investors-37a4b3b151c7809688ebeada22c69c1b