Disclosure: This is my own dataset. Access is gated.
Hey everyone,
I’ve been working on a dataset since September, and finally published it on Hugging Face.
I’ve traded (well.. gambled) with Solana memecoins for almost 3 years now, and discovered an incredible amount of factors at play when trying to determine if a coin was worth buying.
I’d dabble mostly in low market cap coins, while keeping the vast majority of my crypto assets in mid-high cap coins, Bitcoin for example. It was upsetting seeing new narratives with high price potential go straight to 0, and finally decided to start approaching this emotional game logically.
I ended up building a web scraper to both constantly scrape new coin data as they were deployed, and make API calls to a coin’s social data, rugcheck data, and tons of other tokenomics at the same time.
The dataset includes large amount of features per token snapshot (every max 10 second pulse), such as:
- market cap
- volume
- holders
- top 10 holder %
- bot holding estimates
- dev wallet behavior
- social links
- linked website scraping analysis (*title, HTML, reputation, etc*)
- rugcheck scores
- up to hundreds of other features
In total I collected thousands of coin’s chart histories, and filtered this number down to 140+ clean charts, each with nearly 300 data points on average.
With some quick exploratory analysis, I was able to spot smaller patterns, such as how the presence of social links could correlate with a higher market cap ATH. I’m a data engineer, not a data scientist yet, I’m sure those with formal ML backgrounds could find much deeper patterns and predictive signals from this dataset than I can.
For the full dataset description/structure/charts/and examples, see the Hugging Face Dataset Card.
submitted by /u/wtfmase
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