This repository contains a comprehensive dataset of daily market data scraped from StockX for over 4000 top products from 2020 to 2021. With over 1 million entries, this dataset aims to provide insights into market dynamics, price trends, and buyer-seller behaviors on the StockX platform.

Download the dataset here: https://drive.google.com/file/d/1vO4Yh2LSk2yDuI15aXwxpwNJ9gXrbSrm/view?usp=sharing all.json is just the products with their stockX UUIDs.

The dataset comprises daily market snapshots for a variety of products, captured in JSON format. Each entry includes the following fields:

• ID: Unique identifier for each product.
• date: Timestamp of the data collection.
• lowestAsk: Lowest asking price on the market.
• highestBid: Highest bid price on the market.
• numberOfAsks: Total number of asks on the market.
• numberOfBids: Total number of bids on the market.
• deadstockSold: Number of deadstock items sold.
• totalDollars: Total transaction value in dollars.
• pricePremium: Price premium percentage.

1. Clone the repository:

git clone https://github.com/Flurin17/stockXsalesData.git


## Usage
import pandas as pd
import matplotlib.pyplot as plt

# Load the dataset
data = pd.read_json('data/stockx_market_data.json', lines=True)