16 cases across seven categories. Each one taught the world something. Now train on it.
Elections, indictments, withdrawals. Markets that move with the night.
On the night of November 5, 2024, the market opened at 52% Trump. By 3 AM Eastern, it had moved to 95%. The night did not move in a straight line. There were three distinct repricings — the Florida call, the early Pennsylvania returns, and the AP's Wisconsin call near midnight — and the market processed each one differently. Some users bought ahead of the moves and rode the tape up. Most bought after the calls, when the information was already in the price. This case is the canonical test of a forecaster's discipline: do you anticipate, or do you chase? Both can be skills. The night will tell you which one you are.
“The market is a pricing mechanism, not a coin flip. The information enters the price as the news arrives. Buying after a major call usually means paying for what's already known.”
Between June 27 and July 21, 2024, the Polymarket 'Biden withdraws before convention' market climbed from 14% to 96%. The catalyst was a single debate performance on the 27th — but the market did not move in a straight line. It surged the night of the debate, then drifted back as the White House denied, drifted up again on private donor pushback, drifted back on a Stephanopoulos interview that was supposed to settle it, and finally went vertical on July 21 when Biden's letter posted to X at 1:46 PM ET. This case is about reading a slow-burn information cascade: every news cycle either confirmed the trajectory or briefly looked like it broke. The skill is staying with the trend when each individual data point feels like noise.
“Slow-burn political crises move on cumulative evidence, not single events. The market is reading the whole letter, not waiting for the punctuation.”
Collapses, approvals, breakouts. The category where slow burns turn vertical.
On November 2, 2022, CoinDesk published a story about Alameda Research's balance sheet that read, on the surface, like a curiosity for forensic accountants. By the time the article was a week old, the second-largest cryptocurrency exchange in the world had filed for bankruptcy and a handful of people who'd done the work in the first 48 hours had made fortunes. This case is the canonical study of how prediction markets process a slow-burning crisis. The early hours were not panic. The information was in the open — the leverage, the related-party exposure, the absurd valuations — but the price moved gradually as the implication compounded. Then Binance walked away from the acquisition, and the chart went vertical. This case teaches what 'information was in the open' actually means: it usually means a few people read the article carefully and most did not.
“Markets do not always move with the headlines. Sometimes the price moves slowly while the implication compounds, then breaks suddenly. The skill is reading what's in plain sight before it goes vertical.”
On January 9, 2024, the SEC's official Twitter account posted that spot Bitcoin ETFs had been approved. Forty minutes later, the SEC retracted the tweet, claimed they had been hacked, and Bitcoin fell 6% in twelve minutes. The next day — January 10, 4 PM ET — the actual approval landed. By the time it did, the market had spent fourteen months building toward this exact outcome. The price chart of the spot-ETF approval market on Polymarket is a study in how markets price an event that everyone knows is coming but no one knows exactly when. This case teaches what 'priced in' really means: most of the move had already happened. The remaining move was about the precise timing.
“'Priced in' is a real concept. When an outcome is widely expected and the market sits at 95% for weeks, the remaining edge is about timing and exact details, not the binary outcome.”
On May 7, 2022, a $200 million withdrawal from the Anchor Protocol started a chain of arbitrage that ended five days later with the total destruction of a $40 billion stablecoin system. UST, the algorithmic stablecoin that was supposed to be 'pegged' to one dollar by the mint-and-burn mechanics of its sister token LUNA, fell to 35 cents while LUNA itself went from $80 to $0.00006. People who'd held UST as a savings instrument lost their houses. This case is what an algorithmic-stablecoin death spiral looks like in real time. The prediction market for 'Will UST drop below 95¢ by May 31' opened the week at 12% and closed it at 100%. The lesson is brutal: a peg is a promise, and the market starts pricing the broken promise the moment confidence cracks — not when the algorithm finally fails.
“An algorithmic peg is only as strong as the market's belief that arbitrage will hold it. When the cost of arbitraging up exceeds the cost of selling, the peg is already gone.”
On September 15, 2022, the second-largest cryptocurrency network changed its consensus algorithm in the middle of the running system. Mining was retired. Staking was activated. The total energy consumption of the Ethereum blockchain dropped by 99.95% in a single block. For seven years 'the Merge' had been promised and slipped — Polymarket's 'Merge ships by 2022' market had traded as low as 12% in mid-2021. By September 14, it was at 96%. The execution itself happened cleanly at 06:42:42 UTC and resolved the market within five minutes. This case is the canonical study of a binary engineering deadline: when the engineers say 'about a quarter away,' how much should the market discount?
“Engineering deadlines are read by the market via the speed of the team's signal-to-action gap. Vitalik tweeting 'we're close' three days out is worth more than the announced timeline from three months out.”
Rate cuts, banking crises, tariff shocks. The two-stage events: headline then presser.
On Wednesday, March 8, 2023, Silicon Valley Bank announced a $1.75 billion stock offering to cover losses on its bond portfolio. The press release ran late in the afternoon. The next morning, depositors withdrew $42 billion in ten hours — a quarter of the bank's deposits. By Friday at noon, the FDIC had taken control. Three days from the press release to the second-largest bank failure in American history. The prediction market on 'Will SVB be in FDIC receivership by Sunday?' opened Thursday morning at 8% and closed Friday's session at 99%. This case is what a bank run looks like in 2023, when the run is digital, the depositors are coordinated on group chats, and the failure outpaces every traditional indicator. The lesson is the speed. Solvency questions used to take weeks. This one took thirty-six hours.
“Bank runs in the modern era are faster than the institutions designed to stop them. By the time the news is everywhere, the run is already over.”
On September 18, 2024, the Federal Reserve cut interest rates for the first time in four years. The cut itself had been priced in for months. The size of the cut had not. As of the morning of the meeting, Polymarket's market on 'Will the Fed cut 50 bps?' was bouncing between 55% and 65%. By the time Powell stepped to the podium at 2 PM ET, the number was 63%. The decision was 50. The market resolved YES in seconds, and the Fed's careful explanation of why — 'a recalibration, not an emergency' — moved every other market on the screen for the next forty minutes. This case is the canonical FOMC replay: the binary outcome is half the lesson. The other half is how the post-decision press conference repriced expectations for every future meeting in the year ahead.
“Macro events resolve in two stages: the binary headline (cut or hold, 25 or 50) and the press conference that follows. The second stage often moves more dollars than the first.”
Cleanest fast-information markets in the suite. Read the game, read the tape.
Super Bowl LVIII was a study in real-time probability. The 49ers led by 10 with five minutes left in the third quarter. By the end of regulation, the score was tied. In overtime, Patrick Mahomes drove eighty yards for the winning touchdown. The Polymarket win-probability market moved through six distinct regimes that afternoon — opening favorable to San Francisco, neutral by halftime, KC-favorable in the third, SF-favorable late in the fourth, tied at overtime, then sharply KC. Each transition was an information event. This case teaches the discipline of fast-information markets: there are no slow burns here, only sharp updates as plays land. Sports replays are the cleanest training environment in Replay — the information is unambiguous, the price reaction is instant, and you find out quickly whether you read the game well or chased the action.
“Sports markets are fast-update environments. The skill isn't anticipating outcomes — it's reading whether the latest information has been fully priced before you trade against it.”
By the 80th minute, Argentina led France 2-0 and the prediction market had Argentina at 97%. Then Kylian Mbappé scored. Ninety seconds later he scored again. The match was tied. The market that had been 97% Argentina was 51% by the end of regulation. Extra time produced a Messi goal, then a Mbappé hat-trick from the penalty spot. Penalty kicks resolved it. The Argentine win market closed the night at 100%. This is the cleanest fast-information replay in the suite — every goal is unambiguous, the price reaction is instant, and the lesson lands hard: a 97% market is not a sure thing. Three percent is three percent.
“The difference between 97% and 100% is the entire reason markets exist. A market that prices a near-certainty still has tail risk. Reading whether to trade the tail is its own skill.”
Foreign elections, conflicts, regime changes. When you lack ground truth, the price IS your information.
Liz Truss became Prime Minister of the United Kingdom on September 6, 2022. On September 23, her Chancellor announced £45 billion in unfunded tax cuts. By the next Monday, the pound had crashed against the dollar, the Bank of England had launched an emergency gilt-buying operation to prevent pension fund collapses, and a tabloid had started livestreaming a lettuce, betting it would outlast her. The lettuce won. Truss resigned on October 20 after 44 days in office — the shortest premiership in British history. The Polymarket market on 'Will Liz Truss leave office by November 1?' opened September 23 at 8% and resolved YES three weeks later. This case is what fiscal credibility looks like when it breaks suddenly, and how political markets price a government in continuous freefall.
“Political markets in parliamentary systems can move on questions that don't have a single decision-day. The information is distributed — backbench rumblings, bond-market moves, polling collapses. Reading the cumulative weight is the skill.”
On November 19, 2023, Argentine voters chose between an economy minister presiding over 140% annual inflation and a libertarian outsider holding a chainsaw on the campaign trail. The polls had it within the margin of error. The Polymarket runoff market sat at 56% Milei the morning of the vote. Through the day the price drifted with each provincial result, and at 9:15 PM Buenos Aires time, Massa conceded — earlier than any forecaster expected. This case is about how prediction markets process foreign elections that the user has imperfect information about. The user is not from Argentina. The user doesn't know which provincial returns are bellwethers. The user has to read the price, not the politics. That constraint is the lesson — sometimes you trade on the market's wisdom, not your own.
“When you lack ground-truth information, the market's price IS your information. Reading the tape is its own discipline — and sometimes the right move is to trust what the price is telling you over your own thesis.”
Releases, milestones, milestones-that-weren't. Hype curves and what's already priced in.
On Friday afternoon, November 17, 2023, OpenAI's board fired Sam Altman in a four-paragraph press release. By Sunday night, ninety percent of OpenAI's employees had signed a letter threatening to resign and follow Altman to Microsoft. By Wednesday morning, Altman was back at OpenAI with a new board. The Polymarket market on 'Will Sam Altman return as OpenAI CEO by year-end?' opened Friday afternoon at 18%, dropped to 8% on Saturday as he announced he was joining Microsoft, then climbed in a single hour Sunday night to 87% when the employee letter dropped. This case is what a corporate-governance crisis looks like in real time on a prediction market — the price moved not on official statements but on signals the market believed were the actual information.
“When official statements and revealed preferences contradict, the market should follow the revealed preferences. Who signed what, where the talent went, who made the call — those mattered more than any press release that weekend.”
On March 14, 2023, OpenAI released GPT-4. For three weeks beforehand, a Polymarket market had been trading 'GPT-4 released by end of March' between 45% and 78% — wide bands for an event most of crypto Twitter considered already-priced. The release itself happened at 1 PM Pacific via a tweet, a 90-page technical report, a blog post, and a livestream — in that order. The market resolved YES within ninety seconds of the tweet. But the more interesting curve is the prior three weeks: every Sam Altman appearance, every leaked screenshot from Bing's GPT-4-powered Sydney, every 'sources say' Bloomberg story moved the price by 5-10 points. This case teaches a precise discipline — pricing tech releases where the company can ship on any given Tuesday and the entire market is reading tea leaves.
“Tech-release markets are won by reading the company's signal cadence, not by gut-feeling on the product. Three Altman appearances in a week is a calendar, not a coincidence.”
Awards, ceremonies, outcomes that feel obvious in retrospect.
On July 21, 2023, two films opened on the same day that should not have been opening on the same day. Greta Gerwig's Barbie was Warner Bros' summer tentpole; Christopher Nolan's Oppenheimer was a three-hour R-rated drama about a theoretical physicist. The internet had spent six months turning the absurd double-feature into a cultural moment. Polymarket's market on 'Will Barbie outgross Oppenheimer opening weekend?' opened the week at 78% Barbie. By Thursday previews ($22M Barbie vs $10M Oppenheimer), it was 91%. The final tally: Barbie $162M, Oppenheimer $82M domestic. This case is a clean read on how a culture-moment market resolves — most of the conviction was already in by Thursday night, and the curve from Thursday to Sunday was a small mark-to-final.
“Cultural moment markets are won by reading Thursday-night previews, not by predicting the cultural moment itself. The discount on the obvious resolution narrows fast once early numbers land.”
By the time the envelope opened on March 10, 2024, Christopher Nolan's three-hour biographical drama about the architect of the atomic bomb had already won every major precursor award. The Golden Globe, the BAFTA, the Critics' Choice, the SAG ensemble, the DGA, the PGA. The Polymarket market on 'Will Oppenheimer win Best Picture?' had sat between 88% and 93% for two months. This case is the canonical 'priced-in' culture replay — there was never a real moment of doubt, only weeks of slow consolidation. The lesson is subtle: when a market sits at 90% for sixty days, the trade is no longer about the outcome, it's about whether you can find a five-point mispricing in the tail. Most people who bought YES in February paid for two months of holding what was essentially a treasury bond.
“A market sitting at 90% for months is not 'easy money' — the carry cost of capital you can't deploy elsewhere is real. The skill in priced-in markets is finding the asymmetric tail, not riding the consensus.”
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