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$HBAR

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Snapshot Window: 2026-10-04 13:20 UTC ยท โ† Back to Crypto Overview

Tracked Posts
2
Total Impressions
6.2K
Total Likes
169
Retweets & Quotes
11
Comments
20

Social Momentum Summary

Total Engagement - Comments: 20, Retweets: 11, Likes: 169, Impressions: 6155

Verbatim Community Citations & Social Evidence 2 source posts analyzed

Tokenized stocks had a lot of positives in September. Regardless, here is a list of the best and worst tokens to hold in September. Top 10 - OPENAI: +69.8% ( @PreStocks ) - ANTHROPIC: +34.8% ( @PreStocks ) - INTC: +34.3% ( @RobinhoodApp ) - GME: +34.1% ( @RobinhoodApp ) - AMD: +30.0%

The image is a bar chart titled "September's best and worst tokenized stocks" showing price changes from August 31 to September 30, 2026, with the Top 10 led by OpenAI (+69.8%, PreStocks, marked Private), Anthropic (+34.8%, PreStocks, Private), Intel (+34.3%, Robinhood), GameStop (+34.1%, Robinhood), and AMD (+30.0%, Robinhood), while the Worst 5 performers included Fluence Energy (-29.1%, Binance), Circle (-14.0%), Netflix (-13.9%, Binance), McDonald's (-12.5%, xStocks), and Oracle (-9.2%, xStocks). The chart visually reinforces the accompanying post's breakdown of September's top tokenized stock performers by providing exact percentages and platform sources for each ticker, matching the listed gains and adding context on the worst performers.

AI visual note: The image is a bar chart titled "September's best and worst tokenized stocks" showing price changes from August 31 to September 30, 2026, with the Top 10 led by OpenAI (+69.8%, PreStocks, marked Private), Anthropic (+34.8%, PreStocks, Private), Intel (+34.3%, Robinhood), GameStop (+34.1%, Robinhood), and AMD (+30.0%, Robinhood), while the Worst 5 performers included Fluence Energy (-29.1%, Binance), Circle (-14.0%), Netflix (-13.9%, Binance), McDonald's (-12.5%, xStocks), and Oracle (-9.2%, xStocks). The chart visually reinforces the accompanying post's breakdown of September's top tokenized stock performers by providing exact percentages and platform sources for each ticker, matching the listed gains and adding context on the worst performers.

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