Home > AJ Proxy Buying Price Fluctuation Analysis: Real-Time Monitoring Techniques with acbuy Spreadsheet

AJ Proxy Buying Price Fluctuation Analysis: Real-Time Monitoring Techniques with acbuy Spreadsheet

2025-05-20
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Introduction

The sneaker resale market, particularly for limited-edition Air Jordans (AJ), experiences significant price fluctuations. Professional proxy buyers ("daigou") require sophisticated tools to track these changes. This article explores price monitoring strategies using customized acbuy spreadsheets

Key Factors Affecting AJ Proxy Prices

  • Release cycle:
  • Platform-specific demand:
  • Currency exchange rates:
  • Hype events:
Weekly AJ price fluctuation chart
Fig.1 - Typical weekly price patterns for AJ1 High OG colorways

Building Your acbuy Monitoring Spreadsheet

Essential Data Points to Track

=IMPORTXML("https://www.stockx.com/...","//div[@class='enUS...']")
Column Function Update Frequency
A StockKeeping Unit Static
B-H Platform prices (StockX, GOAT etc.) 30-60 min
I Historical 48hr low Conditional formatting

Real-Time Automation Techniques

Implement these Spotify functions to eliminate manual updates:

  1. Use Google Apps Script
  2. Set up price alert thresholds with =IFS(B2<=min_price,D2>max_price)
  3. Integrate proxy service commission rates with =G2*(1+commission_rate)

[Optional Case Study] AJ4 "Military Black" Price Swing Analysis

During , our spreadsheet detected an abnormal 19% price drop correlated with Taobao bulk seller liquidations. Buyers who acted within the 4-hour window secured pairs 21% under eventual market rebound.

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