How Probability Surfaces Differ From Static Price Targets
A surface shows an event and horizon for each estimate. It can explain uncertainty more clearly without proving that the model is accurate.
Start with investing fundamentals, financial news, market psychology and practical mental models for interpreting prices.
56 guides. Start with the introductory topics; follow related links inside each guide.
A surface shows an event and horizon for each estimate. It can explain uncertainty more clearly without proving that the model is accurate.
Most bad forecasting is not bad arithmetic. It is starting from the wrong base rate, or over-reacting to evidence that was not very diagnostic.
A 95% band does not mean the other 5% is impossible. It means you should expect to be outside it roughly one day in twenty — and in real markets, rather more often than that.
Prices rarely move because of what happened. They move because of how what happened compares to what everyone already expected.
A weak jobs report or a soft earnings quarter can send stocks higher — not because bad news is good, but because it changes what happens next.
Beating expectations isn't the same as beating what the price already assumed. When good news was already assumed, the trade is done before the headline even prints.
Sentiment isn't a forecast — it's the mood investors are trading with right now, and it can be measured even when nobody can agree on where prices go next.
Markets are made of people, and people run on the same emotional cycle — hope, greed, panic, and capitulation — in bubble after bubble, crash after crash.
When confidence rises, money flows toward growth and yield. When uncertainty spikes, it flows back toward safety — and you can watch that rotation happen in real time.
The relationship between two assets is a snapshot of current market conditions, not a permanent law — and when conditions shift, so does the correlation.
Professionals skip the headline and go straight to the numbers underneath it — because the headline rarely tells you whether the market actually liked what it saw.
Markets don't process news all at once. They digest it in stages — and the first headline is only the opening line of a much longer story.
Not every headline that grabs attention actually moves valuations — and not every story that moves valuations makes for an exciting headline.
Markets generate far more information than any one person can use — most of it noise, and a much smaller share of it genuine signal worth paying attention to.
The mental models professional investors actually use to interpret markets — not facts to memorize, but ways of thinking that stay useful no matter what's in the headlines.
Spreading money across assets that don't move in lockstep is the closest thing investing has to a free lunch. It has real limits, though, and knowing where they sit matters.
Investing a fixed amount on a set schedule, regardless of price, trades the chance of perfect timing for a simpler and more disciplined way to build a position.
Returns that earn returns on themselves grow slowly at first and dramatically later — which is exactly why time in the market tends to matter more than most people expect.
Every investment decision is ultimately a tradeoff between how much you could gain and how much you could lose. Understanding that tradeoff is the starting point for building any strategy.
Beta measures how much a stock tends to swing relative to the broader market — a shorthand for how much extra volatility an investor is signing up for.
Alpha is the return an investment generates above and beyond what its risk level would predict — the elusive edge every active manager claims to have and few consistently deliver.
The Sharpe ratio measures return earned per unit of risk taken, turning a raw performance number into a way to compare how efficiently different investments generated that return.
A drawdown is the decline from a peak to a subsequent trough — and because losses and the gains needed to recover from them aren't symmetric, drawdowns matter more than they might first appear.
Market cap — share price multiplied by shares outstanding — is how the market prices an entire company, and it isn't the same thing as how big that company actually is.
Growth investors pay up for expected future earnings; value investors look for businesses trading cheaply relative to what they already produce. Both styles fall in and out of favor with the economic cycle.
Dividends are a company's way of sharing profits directly with shareholders — and understanding yield, payout ratio, and total return is key to seeing what that actually means for an investor.
When a company repurchases its own shares, it's shrinking the pool of stock outstanding — a move with real effects on per-share metrics, and real debate over whether it's the best use of corporate cash.
A stock split changes how many shares represent a company and at what price — but not the value of the company itself. Here's what actually changes, and what doesn't.
An initial public offering is how a private company first sells shares to the public — a process involving underwriters, pricing decisions, and a lockup period, all before the stock trades freely.
A Special Purpose Acquisition Company offers a private business a faster route to public markets than a traditional IPO — with a different set of incentives and risks attached.
Some headlines dominate the news cycle for days and move a stock or index by almost nothing. That's not the market being asleep — it's the market telling you something.
A minor data revision or a single throwaway line in a transcript can do more damage than a headline that dominated the week. Size and impact are not the same thing.
Every price on a screen is a bet on the future. Understanding how that bet gets formed — and constantly revised — is the foundation for reading any market reaction.
It's not whether earnings grew or inflation cooled that decides the price reaction. It's whether the number matched what everyone already expected.
Understand what priced in means, why markets react to surprises rather than expected news, and how the phrase can be misused.
The same economic data can be read as good news one quarter and bad news the next. The difference isn't the data — it's which story the market is currently telling itself.
Every analyst, strategist, and pundit has a view. Price is the only thing that reflects what every one of them actually did with their capital.
Ten analysts, ten price targets, sometimes a wide spread between the lowest and highest. That's not confusion — it's what honest uncertainty looks like.
A stock price today is a bet on cash flows years from now, discounted back to the present. That single mechanic explains some of the market's strangest-looking behavior.
Sometimes the headline says one thing and the chart says another. When they disagree, the chart is usually telling you something the headline can't.
A risk that once moved every asset on every headline can, eventually, stop registering at all. Recognizing that shift matters as much as recognizing the risk itself.
Stocks don't move on good news or bad news. They move on the gap between what everyone expected and what actually showed up.
George Soros's idea that markets don't just reflect reality — they can reshape it, in a loop where perception and fundamentals feed each other.
The obvious conclusion is usually already in the price. The edge lives one step further — in what happens next, and how everyone else reacts.
The same data point can mean opposite things depending on the environment it lands in. Knowing which regime you're in matters more than any single indicator.
Asset prices respond to how much money and credit is available in the system, not just to earnings and growth — and that supply expands and contracts in cycles set largely by central banks.
Stories move capital as powerfully as spreadsheets do. Understanding how a narrative forms, spreads, and eventually breaks is its own kind of market literacy.
Who already owns an asset can matter more for the next move than whether the investment case is sound. Crowded trades react to their own weight, not just the news.
Markets don't price what a business earns today — they price everything it's expected to earn, discounted back to the present. That single idea explains why prices move before the news does.
Markets have a habit of climbing even when the headlines are relentlessly negative. That's not a bug — it's what happens when the worry is already priced in.
Rising prices attract more buyers, which pushes prices higher still. The mechanics of that loop, and its mirror image on the way down, explain how booms and busts overshoot.
Understand convexity in bonds and options, why gains and losses can respond asymmetrically, and the costs of maintaining convex exposure.
Extreme market moves happen far more often than a bell curve says they should. That gap between the model and reality is what 'fat tails' actually means.
Prices and valuations tend to snap back toward their long-run average after stretching too far in either direction, until, in some cases, they don't.
Trends tend to keep going longer than fundamentals alone can justify. Momentum is one of the most persistent, well-documented patterns in markets, and one of the hardest to explain cleanly.
Some systems break under stress. Some merely survive it. Nassim Taleb's idea of antifragility describes a rarer third category: things that actually get stronger from disorder.