How to Get Solana Trade Data for Audits

The post How to Get Solana Trade Data for Audits appeared first on Coinpedia Fintech News

As blockchain adoption continues to grow, cryptocurrencies like Solana are becoming integral to global financial ecosystems. With transactions per second (TPS) currently surpassing expectations (currently averaging 4k TPS), Solana has solidified itself as one of the fastest and most scalable blockchain currently in the market. So, it has become a herding ground for both developers and traders. 

However, with this growth comes the need for transparency, accountability, and thorough auditing of crypto transactions. Whether for compliance, financial reporting, or fraud detection, auditing Solana’s data presents both opportunities and challenges.

In this article, we’ll explore why crypto audits matter, the key data points required for auditing Solana trades, and efficient methods to export cryptocurrency data for comprehensive audits.

1. Introduction

Why Crypto Audits Matter

Auditing cryptocurrency transactions is essential for several reasons:

• Regulatory Compliance: Governments worldwide are enforcing stricter rules on cryptocurrency usage.
  • European Union: Under the MiCA regulation, crypto transactions must include sender and receiver details for AML compliance. 
  • United States: The IRS requires individuals to report crypto gains or losses as part of their tax returns, treating cryptocurrencies as property for taxation.
  • India: Imposes a 30% tax on crypto income and 1% TDS on transactions exceeding a certain threshold to ensure proper tax collection.

• Fraud Detection: Audits help identify illicit activities, such as wash trading or money laundering. 
  • In 2022, regulators uncovered a $1 billion money-laundering scheme involving crypto mixers like Tornado Cash.
  • Binance was flagged for enabling unverified high-value trades, highlighting the importance of audit mechanisms.

• Financial Reporting: For businesses holding crypto, accurate reporting ensures credibility and accountability.
  • Tesla disclosed its Bitcoin holdings and sale profits in its financial statements, boosting investor confidence.
  • MicroStrategy’s quarterly reports include detailed Bitcoin acquisition costs, ensuring transparency to shareholders.

Challenges in Crypto Auditing

Compared to traditional financial data, auditing crypto transactions comes with unique hurdles:

• Data Complexity: Blockchains like Solana generate vast amounts of decentralized, immutable data. With millions of DEX trades occurring on Solana every hour, each trade involves multiple hops between accounts, making balance reconciliation a highly intricate and resource-intensive task.
• Real-Time Tracking: With crypto markets operating 24/7, real-time data monitoring is crucial.
• Ecosystem Diversity: Each blockchain operates with unique protocols, which significantly impact how data is stored and processed. For instance, Solana’s perpetual futures platforms like Mango Markets require auditors to decode margin accounts and funding rates, unlike traditional DEXs. Similarly, Ethereum’s ERC-20 token transfers involve logs and gas fees, while Solana’s SPL tokens follow a distinct instruction format. These differences necessitate specialized tools and expertise to ensure accurate audits across diverse ecosystems.

2. Understanding Solana Trade Data for Audits

Key Data Points to Audit

For a successful audit, auditors must focus on the following Solana trade data:

• Balances: Wallet holdings at specific timestamps.
• Trades: Transaction records, including price, volume, and counterparty details.
• Transfers: Movement of tokens between wallets.
• Pumpfun Memecoin Trades: Specialized data for auditing trades on memecoin platforms like Pumpfun.

Significance of Solana’s Ecosystem

Solana is renowned for its high throughput, low fees, and fast confirmation times. These features make it ideal for real-time trading but add complexity to the auditing process due to the sheer volume of data generated.

3. Efficient Methods to Export Cryptocurrency Data for Audits

3.1. Subscription and Real-Time Streams

Streaming via subscription and WebSocket APIs is one of the most effective ways to access real-time Solana data.

• Best Practices:
  • Subscribe to real-time updates for token balance changes, live memecoin trades, and trade events using Bitquery Solana Streaming APIs.

Below is a wallet we’ll be working with through this tutorial article:

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Let’s take this Binance: Hot Wallet on Solana Blockchain and you’re required to perform auditing and reconciliatory work on the wallet. You’ve also been given access to the company’s on-chain transaction record.

Use this below Bitquery API to get the Balance of this Address and reconcile the values with any Solana Explorer, test it here on Bitquery IDE. 

You can also use Bitquery Solana Trades API for reconciliation and comparing of number of trades.

• Advantages:
  • It provides zero-latency updates, which is ideal for time-sensitive audits.
• Disadvantages:
  • Requires a persistent connection, making it less suitable for bulk historical data.
• Use Cases:
  • Tracking real-time memecoin trades on Pumpfun using Bitquery PumpFun API.
  • Monitoring live token transfers during high-activity periods.

For organizations handling large volumes of blockchain data, Kafka streams offer a scalable, event-driven solution.

• How to Set Up Kafka Streams for Solana:
  • Configure Kafka to consume real-time Solana trade and transaction data.
  • Use Bitquery’s Kafka streams for seamless integration with on-chain data.
• Advantages:
  • Highly scalable for processing millions of events per second.
  • Enables custom workflows through event-driven architectures.
• Disadvantages:
  • Requires complex setup and ongoing maintenance.
• Use Cases:
  • High-frequency trading audits.
  • Detecting real-time anomalies in transaction patterns.

3.2. Data Dumps and Cloud Integrations

For large-scale or retrospective audits, exporting historical data is critical.

• How to Access Data Dumps:
  • Use services like Bitquery’s Data-on-Demand and Data Warehouse.
    • Bitquery Data-on-Demand
    • Bitquery Data Warehouse
  • Integrate with cloud platforms (e.g., AWS, GCP) for secure data storage.
• Advantages:
  • Cost-effective for bulk data analysis and periodic audits.
  • Suitable for offline analysis.
• Disadvantages:
  • Lacks real-time capabilities, making it less useful for live monitoring.
• Use Cases:
  • Compliance reviews and post-event analysis.
  • Storing historic trade data for long-term audits.

4. Conclusion

Auditing Solana trade data is both challenging and rewarding. By leveraging efficient methods such as subscription APIs, Kafka streams, and data dumps, auditors can ensure thorough compliance, fraud detection, and financial reporting.

Choose the right tools and methods based on your specific auditing needs, and always stay updated with the latest blockchain developments to ensure accuracy and efficiency.

By following these strategies, you can tackle the complexities of auditing Solana trade data and maintain transparency in the fast-evolving world of cryptocurrencies.