A major announcement happens.
Stock prices move.
Crypto markets react.
Prediction market probabilities change.
But these reactions don't always happen at the same time, or even point in the same direction.
Looking at just one market can leave out an important part of the story.
That's why we've introduced Market Replay Labs, a new section on the CoinAPI website where we examine real historical events using data from CoinAPI and FinFeedAPI.
The idea is simple: bring together stocks, tokenized assets, prediction markets, and SEC filings to understand how different markets respond to the same information.
Each replay follows a specific event, aligns the available datasets by timestamp, and lets readers explore the actual market activity behind the headlines.
Why Combine Data From Different Markets?
Financial markets are increasingly connected, but most analysis still happens in isolation.
A stock chart shows how shares moved during trading hours. Tokenized assets can reveal activity while traditional exchanges are closed. Prediction markets reflect changing expectations about specific outcomes. SEC filings provide another layer of information about what companies have formally disclosed.
Each dataset answers different questions.
The real value comes from examining them together.
For researchers and developers, this makes it possible to investigate things that aren't immediately visible in a single dataset:
- Price discovery: Which market reacted first, and how did the others respond?
- Market divergence: Why did two markets interpret the same announcement differently?
- Overnight activity: What happened while traditional stock exchanges were closed?
- Liquidity and trading behavior: Were price movements supported by meaningful trading activity or just a handful of transactions?
- Event-driven research: How did market prices and expectations change around a specific announcement?
- Backtesting: Could historical relationships between these markets provide useful signals for future research?
Instead of studying price movements separately, analysts can begin to understand how information travels between markets.
Episode 1: Tesla Roadster Unveiling
Our first Market Replay Labs episode examines the Tesla Roadster unveiling.
The share did not hear the show. The contract did.
The event took place after the US cash market had closed. While Tesla shares on IEX couldn't react during the unveiling, tokenized Tesla continued trading across crypto venues.
Tokenized Tesla rallied to approximately $383 before New York opened, before falling back toward $349 during the US session.
At the same time, something very different was happening in prediction markets.
On Polymarket, the contract for Tesla Roadster delivery by the end of 2027 dropped from 34.5¢ to just 8¢. The sharp repricing coincided with information during the presentation that production was planned for 2028.
One event produced two very different signals.
Tokenized markets initially responded positively to the vehicle presentation, while prediction markets sharply reduced expectations of delivery within the earlier timeframe.
When the traditional stock market reopened, the overnight rally didn't hold.
Without combining these datasets, it would be easy to miss that divergence entirely.
The replay also examines trading activity across Binance, Hyperliquid, Kraken, and other venues, alongside IEX stock data and SEC filings.
It shows not only where prices moved, but when the movements happened, how much trading accompanied them, and where the available evidence points.
From Market Data to Research
Market Replay Labs is more than a collection of historical charts.
It's also a practical demonstration of what developers, quantitative researchers, and financial institutions can investigate when different types of financial data are available through connected infrastructure.
CoinAPI provides cryptocurrency and tokenized asset market data, including historical trades and OHLCV.
FinFeedAPI adds historical stock data, prediction market activity, order books, and SEC filings.
Together, these datasets allow teams to study cross-market behavior without treating every market as a separate research project.
The same approach can be applied to earnings announcements, regulatory developments, product launches, unexpected news, or any event that affects multiple financial markets.
It can support event studies, historical strategy testing, market monitoring, and AI systems that need reliable evidence rather than isolated price observations.
Importantly, the replays also show the limitations of the available data. A thinly traded prediction market is not the same as a liquid stock exchange. One venue's trading volume doesn't represent the entire market. Missing historical observations shouldn't be treated as proof that nothing happened.
These distinctions matter when building reliable analysis.
Explore Market Replay Labs
Every episode is designed to be explored, not just read.
Readers can follow market activity on a shared timeline, examine individual price movements, compare datasets, and review the API requests used to retrieve the underlying records.
With API Bricks, the same API key provides access to CoinAPI and FinFeedAPI datasets, making it possible to reproduce the research and extend it with your own analysis.
Episode 1 is now available on the CoinAPI website.
Explore how Tesla shares, tokenized assets, and prediction markets responded to the Roadster unveiling, and see what becomes possible when you look beyond a single market.
