Prediction markets: More stock gains ahead, but don't expect a melt-up

Prediction markets (Kalshi, Polymarket) see modest S&P 500 gains to 7,800–8,000 by year-end, with downside risk—plus Nasdaq-100 upside.

Prediction: This Could Be Palantir's Stock Price By the End of 2027

A business that's growing like wildfire could drive the stock price significantly higher by the end of next year.
24/7 Wall St.

Stock Price Prediction: Palantir at $113, The Forecast Says There’s Room to Run

Palantir (NASDAQ:PLTR | PLTR Price Prediction) has been one of 2026’s most punished AI winners, sliding from a December peak ...

Prediction: This Will Be Nvidia's Stock Price by the End of 2027 (Hint: Big Gains Ahead!)

Taken together, Nvidia has the conditions for meaningful revenue growth complemented by even further earnings expansion. This ...

Polymarket-backed platform boosts funding to root out insider trading on prediction markets

A Polymarket-backed platform raised $1.5 million in a funding round to help build tools to detect suspicious trading activity ...
The New York Times

The Average Guys Outsmarting Wall Street on Prediction Markets

How prediction market “sharps” have made millions wagering on everything from war to Rotten Tomatoes. Credit...Illustration by Danielle Del Plato Supported by By Adam Iscoe The joke among young men ...
GitHub

astudentuser/Pre-training-Time-Series-Models-with-Stock-Data-Customization

We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...
GitHub

MachineLearningStocks in python: a starter project and guide

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions. My hope is that this project will help you understand ...