Meta reported strong revenue growth. Its stock jumped 7% after hours. But by the next trading session, that enthusiasm had disappeared, and shares closed more than 7% lower.
What happened in between?
And more importantly, what were other markets doing while traditional stock exchanges were closed?
In our latest episode of Market Replay Labs, we follow Meta's October 21, 2026 earnings announcement across traditional stocks, tokenized assets, prediction markets, and cryptocurrencies.
Using historical data from CoinAPI and FinFeedAPI, we bring these markets together on one timeline to show how the reaction unfolded.
One Announcement - Different Market Reactions
The initial response to Meta's earnings was positive.
Tokenized Meta climbed to approximately $749 on Binance, while IEX recorded a similar after-hours high.
…But the rally didn't last.
Overnight, tokenized markets began moving lower. By the time the US stock market reopened, much of the initial optimism had vanished.
And Meta wasn't the only company affected.
Nvidia, Amazon, Broadcom, and other AI-related stocks also declined. Interestingly, some of their tokenized counterparts began reflecting those movements hours before the regular US trading session.
Prediction markets told another part of the story.
On Polymarket, the Yes price for Meta falling to $640 climbed from 37¢ to 98¢. Meanwhile, expectations of the stock reaching higher price levels fell sharply.
One earnings announcement. Several markets. Very different reactions, unfolding at different times.
That's exactly what makes cross-market analysis so interesting.
What Can You Discover in Our Replay?
The new episode takes you through the market reaction, from the initial earnings announcement to the following trading sessions.
You'll see how tokenized Meta traded overnight, how other AI-related stocks reacted, and how prediction market expectations changed as prices moved.
We also look at Bitcoin and the broader crypto market to explore whether those movements followed the same pattern.
And there's more to investigate than price charts.
Every episode includes the historical data and API requests behind the analysis, allowing developers and researchers to examine the evidence themselves.
Built With CoinAPI and FinFeedAPI
Market Replay Labs also demonstrates what becomes possible when different financial datasets work together.
For this episode, we used:
- CoinAPI Market Data API for tokenized stocks and cryptocurrency trading activity across multiple exchanges.
- FinFeedAPI Stock Historical API for historical IEX stock prices and trading activity.
- FinFeedAPI Prediction Markets API for Polymarket and Kalshi contract prices and trades.
- FinFeedAPI SEC API for Meta's official financial disclosures.
Through API Bricks, developers can access these datasets using a single API key.
This makes it easier to study events across different markets, backtest strategies, explore market relationships, and build research applications using historical financial data.
Explore the Full Meta Market Replay
The most interesting part of this story isn't simply that Meta's stock went up and then down.
It's how differently markets reacted, and what happened between the initial announcement and the next trading session.
Our new Market Replay lets you explore those movements on a shared timeline, compare the datasets, and review the underlying API requests.
We won't spoil the entire story here.
Explore the Meta Earnings Market Replay →
See what happens when you look beyond a single market.
