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Monthly Trading Volumes Of Crypto DEX

An On-Chain Perspective: Analyzing Monthly Trading Volumes of Crypto DEX

@kaggle.franoisgeorgesjulien_crypto_dex_monthly_volume

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About this Dataset

Monthly Trading Volumes Of Crypto DEX

Explore the Monthly Trading Volumes of Crypto Decentralized Exchanges (DEX)

This dataset provides a comprehensive overview of the monthly trading volumes across various Crypto Decentralized Exchanges (DEX). Crypto DEX has gained significant prominence in the blockchain ecosystem, offering decentralized, non-custodial trading solutions. This dataset allows you to analyze the trading volumes of major DEX platforms, providing valuable insights into their performance and growth.

You will find two datasets:

  • DEX_VOLUME_MONTHLY - OVERALL LIST MONTH.csv
    • has been arranged by myself, pivoted and ready for analysis.
  • QUERY_DB_DEX_VOLUME_MONTHLY - ORIGINAL-DB-DEX_VOLUME_MONTHLY.csv
    • is the raw long format dataset

List of Included DEX:

  • AirSwap
  • Maverick
  • Ellipsis Finance
  • Integral
  • DefiSwap
  • mStable
  • Uniswap
  • OnePunchSwap
  • QuickSwap
  • PancakeSwap
  • BabySwap
  • Glacier
  • DODO
  • ShibaSwap
  • Synthetix
  • NomiSwap
  • Rubicon
  • Hashflow
  • Wombat
  • WigoSwap
  • Bancor Network
  • Velodrome
  • FraxSwap
  • Mdex
  • ArbSwap
  • ZipSwap
  • GMX
  • Verse DEX
  • DFX
  • Platypus Finance
  • Woofi
  • Zigzag

Data Source:

The trading volume data for these DEX platforms was meticulously collected on-chain using Dune Analytics, a robust platform for exploring, querying, and analyzing data from the Ethereum blockchain and other DeFi protocols. The dataset provides monthly trading volume metrics, enabling researchers, analysts, and enthusiasts to gain a deeper understanding of the decentralized exchange landscape.

Use Cases:

  • Identifying trends and patterns in trading volumes across different DEX platforms.
  • Assessing the growth and adoption of specific DEX within the crypto ecosystem.
  • Comparing the performance of DEX platforms over time.
  • Conducting research on liquidity and trading activity within the DeFi space.
  • Supporting investment decisions and market analysis.

Whether you're a crypto trader, blockchain researcher, or DeFi enthusiast, this dataset offers a valuable resource for exploring the dynamics of decentralized exchanges in the cryptocurrency market.

Tables

Dex Volume Monthly Overall List Month

@kaggle.franoisgeorgesjulien_crypto_dex_monthly_volume.dex_volume_monthly_overall_list_month
  • 45.22 KB
  • 25 rows
  • 50 columns
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CREATE TABLE dex_volume_monthly_overall_list_month (
  "month" TIMESTAMP,
  "monthly_diff" VARCHAR,
  "total" VARCHAR,
  "uniswap" VARCHAR,
  "spiritswap" VARCHAR,
  "balancer" VARCHAR,
  "curve" VARCHAR,
  "apeswap" VARCHAR,
  "iziswap" VARCHAR,
  "trader_joe" VARCHAR,
  "biswap" VARCHAR,
  "swapr" VARCHAR,
  "spookyswap" VARCHAR,
  "equalizer_exchange" VARCHAR,
  "spartacus_exchange" VARCHAR,
  "sushiswap" VARCHAR,
  "clipper" VARCHAR,
  "beethoven_x" VARCHAR,
  "kyberswap" VARCHAR,
  "airswap" VARCHAR,
  "maverick" VARCHAR,
  "ellipsis_finance" VARCHAR,
  "integral" VARCHAR,
  "defiswap" VARCHAR,
  "mstable" VARCHAR,
  "onepunchswap" VARCHAR,
  "quickswap" VARCHAR,
  "pancakeswap" VARCHAR,
  "babyswap" VARCHAR,
  "glacier" VARCHAR,
  "dodo" VARCHAR,
  "shibaswap" VARCHAR,
  "synthetix" VARCHAR,
  "nomiswap" VARCHAR,
  "rubicon" VARCHAR,
  "hashflow" VARCHAR,
  "wombat" VARCHAR,
  "wigoswap" VARCHAR,
  "bancor_network" VARCHAR,
  "velodrome" VARCHAR,
  "fraxswap" VARCHAR,
  "mdex" VARCHAR,
  "arbswap" VARCHAR,
  "zipswap" VARCHAR,
  "gmx" VARCHAR,
  "verse_dex" VARCHAR,
  "dfx" VARCHAR,
  "platypus_finance" VARCHAR,
  "woofi" VARCHAR,
  "zigzag" VARCHAR
);

Query Db Dex Volume Monthly Original Db Dex Volume Monthly

@kaggle.franoisgeorgesjulien_crypto_dex_monthly_volume.query_db_dex_volume_monthly_original_db_dex_volume_monthly
  • 14.74 KB
  • 848 rows
  • 3 columns
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CREATE TABLE query_db_dex_volume_monthly_original_db_dex_volume_monthly (
  "project" VARCHAR,
  "month" TIMESTAMP,
  "monthly_volume" VARCHAR
);

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