Home > Automated Price Monitoring for Sneaker Reselling: Leveraging AcBuy Spreadsheet to Identify Abnormal Market Fluctuations

Automated Price Monitoring for Sneaker Reselling: Leveraging AcBuy Spreadsheet to Identify Abnormal Market Fluctuations

2025-06-22

In the fast-paced world of sneaker reselling, real-time price monitoring has become a game-changer. This article demonstrates how scraping AcBuy AJ's live pricing dataAcBuy Spreadsheet

Step 1: Data Collection Pipeline

Connect to AcBuy's API

=IMPORTJSON("https://api.acbuy.club/v1/aj1-greybear","/price,/sizes/9.5,/last_sale")
    

Step 2: Anomaly Detection Algorithm

The system flags anomalies when:

ConditionAction
30%+ price surge in 4hBatch-buy recommendation
3+ sellers out of stockDemand surge alert
Size 9.5 trade volume ↑200%Inventory pre-allocation
Example: When AJ1 patent bred prices spiked 47% on March 12, early adopters mitigated risks by splitting orders across 3 suppliers between $320-$380 ranges.

Step 3: Size Preference Analysis

Machine learning identifies regional/customer-specific trends:

[ Hypothetical Chart: AJ1 Top 5 Sizes - APAC vs. NA Markets ]

• Asia prefers sizes 38-40 (EU)
• North America favors US 9-11

Result: Reduced return rates by 22% through size-predicted inventory allocation. Want to implement this? Access live data at AcBuy.club.

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