Research

Treasury Companies and ETFs: How Institutional Money is Reshaping Crypto in 2025

The convergence of treasury companies, ETF expansion, and consumer application growth is creating a new phase of cryptocurrency adoption. Unlike previous cycles driven by retail speculation, this institutional wave appears sustainable and growing.
Token Metrics Team
6 min
MIN

The cryptocurrency market is experiencing a seismic shift as institutional adoption accelerates through treasury companies and exchange-traded funds. This institutional wave is fundamentally altering market dynamics and creating new investment opportunities for both retail and professional investors.

The Treasury Company Explosion

Treasury companies have emerged as the dominant force driving crypto adoption in 2025. These entities, which hold cryptocurrency as primary treasury assets, are experiencing unprecedented growth and creating massive buying pressure across major digital assets.

MicroStrategy Leads the Charge

MicroStrategy continues to dominate Bitcoin treasury holdings with an impressive $70 billion worth of Bitcoin, including $23 billion in unrealized gains. The company's strategy has proven so successful that it's spawning imitators across multiple cryptocurrency ecosystems.

Recent data shows treasury companies are expanding beyond Bitcoin into Ethereum and other major cryptocurrencies, creating diversified institutional exposure to digital assets.

Ethereum Treasury Revolution

BitMine recently made headlines with a $2.2 billion Ethereum purchase, signaling institutional confidence in ETH's long-term prospects. The company has set an ambitious target of capturing 5% of Ethereum's total supply, demonstrating the scale of institutional appetite.

This move coincides with Ethereum hitting new all-time highs of $4,946, up 250% from April lows. The combination of treasury company purchases and growing DeFi activity has created a powerful upward momentum for ETH.

Beyond Bitcoin: Diversification Across Ecosystems

Solana Treasury Strategies

The Solana ecosystem is witnessing significant institutional interest:

  • Sharp Technologies raised $400 million with Paradigm and Pantera for SOL treasury operations
  • Galaxy Jump and Multicoin are raising $1 billion for a Solana-focused treasury company
  • These developments suggest Solana may soon follow Bitcoin and Ethereum's institutional adoption path

BNB Strategic Holdings

B Strategy, backed by Binance founder CZ and former Bitman CFO, launched a $1 billion US-listed vehicle specifically to purchase BNB tokens. This institutional backing provides significant credibility to Binance's native token and demonstrates the expanding scope of treasury strategies.

The Stablecoin Revolution

Parallel to treasury company growth, stablecoins are experiencing explosive expansion. Total stablecoin supply now exceeds $250 billion, with projections suggesting growth to $1 trillion by next year.

MetaMask Enters the Stablecoin Race

MetaMask's launch of MUSD, their native stablecoin developed with Bridge (acquired by Stripe), represents a significant development. Key features include:

  • Multi-chain deployment: Initially on Ethereum and Linea
  • 30 million user base: Immediate access to a massive user network
  • MasterCard integration: Direct retail spending capabilities
  • Seamless experience: On-ramp, swap, transfers, and bridging within MetaMask

Current supply stands at 41 million MUSD with 5,000 holders, but this is expected to grow rapidly to billions given MetaMask's user base.

Traditional Institution Adoption

Several major developments indicate mainstream financial adoption:

Singapore's DBS Bank launched tokenized structured notes on Ethereum mainnet, though initially limited to accredited investors.

SBI Holdings from Japan, managing $74 billion, entered a joint venture with Startale to tokenize US and Japanese stocks, enabling 24/7 trading and fractional ownership.

Multiple South Korean banks are in discussions with Tether and Circle to distribute USD stablecoins, following increasing regulatory clarity.

ETF Expansion and Regulatory Progress

The ETF landscape continues expanding beyond Bitcoin, creating new institutional access points:

Solana ETF Applications

  • VanEck and Jito filed for Solana ETF applications
  • Solana Foundation and Multicoin are leveraging SEC guidelines for liquid staking ETFs
  • The deadline for approval is October, with industry experts optimistic about approval

Ethereum Momentum

Ethereum ETFs are seeing increased inflows as institutional interest grows. The combination of ETF buying and treasury company purchases is creating sustained upward pressure on ETH prices.

AI and Privacy Tokens Gaining Institutional Interest

Venice AI: Privacy-Focused Innovation

Vanna AI represents a new category of projects attracting institutional attention. Founded by Eric Voorhees (Shapeshift founder), the project offers:

  • Privacy-first AI: Local inference without data upload to centralized servers
  • Multiple AI models: Text, image, and specialized model integration
  • Fair token distribution: 50% airdropped to community
  • Stake for Access: API credits model with $1 per day per staked token
  • Growing adoption: 6 million monthly visitors indicate mainstream appeal

The project demonstrates how utility-focused tokens can attract both institutional and retail interest through genuine product-market fit.

Hidden Opportunities in Emerging Ecosystems

Hyperliquid Ecosystem Growth

The Hyperliquid ecosystem is experiencing explosive growth, with several projects showing institutional-grade metrics:

Kinetic Protocol serves as the liquid staking solution for Hyperliquid's native HYPE token, similar to Lido for Ethereum. TVL has grown from under $400 million to over $1.7 billion, demonstrating organic adoption.

Unit Protocol acts as the native bridge for Bitcoin, Ethereum, and USDC to Hyperliquid, with nearly $1 billion TVL despite no active point system.

DeFi Infrastructure Expansion

Traditional DeFi protocols are expanding to capture multi-chain market share:

  • AAVE launched on Aptos, becoming the first major DeFi protocol on a Move-language blockchain
  • Multi-chain strategies are becoming standard for major protocols
  • Increased TVL across networks shows growing institutional DeFi adoption

Consumer Applications and Mass Adoption

Base Ecosystem Leadership

Base, Coinbase's Layer 2 solution, is emerging as a leader in consumer-focused crypto applications. The rebrand from Coinbase Wallet to Base App signals a broader strategy to become the "super app" for crypto.

Recent consumer applications include:

  • Fantasy Football platforms generating millions in revenue within days of launch
  • Gaming integrations bringing Web2 users into crypto seamlessly
  • Social and entertainment apps abstracting blockchain complexity

Investment Strategies for the New Landscape

Blue Chip Focus

Given the institutional wave, experts recommend focusing on established assets:

  • Bitcoin: Continued treasury adoption and regulatory clarity
  • Ethereum: DeFi growth and institutional ETF flows
  • Solana: Emerging treasury strategies and ETF potential
  • Hyperliquid: Revenue-generating protocol with strong tokenomics

Emerging Opportunities

Secondary opportunities include:

  • Liquid staking tokens on growing ecosystems
  • Bridge and infrastructure protocols with real revenue
  • Privacy-focused AI projects with utility beyond speculation
  • Consumer applications with demonstrated product-market fit

Risk Management in Institutional Markets

Valuation Metrics

Treasury companies often trade at premiums to their underlying holdings, similar to traditional investment vehicles. Key metrics to monitor:

  • Net Asset Value (NAV): Compare stock price to underlying crypto holdings
  • Premium levels: Historical peaks around 2.5x suggest caution
  • Revenue generation: Focus on companies with operating businesses beyond holding crypto

Market Timing

The altcoin season indicator currently sits at 58%, approaching the 60%+ zone that historically marks cycle tops. This suggests:

  • Profit-taking opportunities may emerge soon
  • Risk management becomes crucial as markets mature
  • Diversification across asset classes and strategies

The Future of Institutional Crypto

The institutional adoption wave shows no signs of slowing. Predictions suggest:

  • $10 trillion stablecoin market within 2-3 years
  • Multiple treasury companies for each major cryptocurrency
  • Regulatory clarity enabling broader institutional participation
  • Consumer applications bringing billions of users to crypto

Conclusion

The convergence of treasury companies, ETF expansion, and consumer application growth is creating a new phase of cryptocurrency adoption. Unlike previous cycles driven by retail speculation, this institutional wave appears sustainable and growing.

Investors who understand these trends and position accordingly—whether through direct cryptocurrency exposure, treasury company stocks, or emerging ecosystem tokens—are likely to benefit from this fundamental shift in crypto market structure.

The key is recognizing that we're no longer in an early-stage speculative market, but rather witnessing the birth of a mature digital asset class with institutional backing, regulatory clarity, and real-world utility. This transformation creates both opportunities and risks that require sophisticated analysis and strategic positioning.

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Token Metrics Team
Token Metrics Team

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Research

Accessing Historical Crypto Data Using APIs: A Complete Guide

Token Metrics Team
5
MIN

Understanding price trends and market dynamics is essential for researchers, developers, and analysts working in the cryptocurrency ecosystem. The demand for actionable, reliable historical crypto data has surged as more professionals seek to power apps, AI agents, and dashboards with accurate blockchain information. But how can you easily access robust historical data—from Bitcoin’s early days to today—using an API?

Why Historical Crypto Data Matters

Historical crypto data serves multiple critical roles in the blockchain and digital asset space. It is the foundation for backtesting trading algorithms, visualizing price trends, and conducting academic or business-driven research on market cycles. Given cryptocurrencies’ rapid global growth, time series data helps users:

  • Identify past market regimes and volatility periods
  • Study correlations and performance against traditional assets
  • Evaluate technology adoption over time
  • Build and validate AI models for trend detection

Yet with thousands of coins traded across dozens of exchanges since 2009, acquiring comprehensive, accurate history is challenging without programmatic tools like APIs.

APIs 101: How Crypto Data APIs Work

An Application Programming Interface (API) acts as a bridge, allowing your software to interact with data providers’ servers in real time or on demand. For historical cryptocurrency data, APIs typically offer endpoints for retrieving:

  • Daily or intraday OHLC (Open, High, Low, Close) price candles
  • Tick-by-tick trade data for specified assets
  • Market capitalization, volume, and liquidity history
  • On-chain blockchain activity metrics (transaction count, fees, supply)

Data is returned in structured formats like JSON or CSV, ideal for integration with research notebooks, dashboards, and machine learning pipelines. API providers may cover dozens or hundreds of exchanges, aggregate data, or focus on specific subsets of assets.

Choosing the Right Crypto Data API

With a crowded crypto data landscape, selecting the best API depends on your use case and quality requirements. Consider evaluating providers by:

  1. Coverage: Which coins, tokens, and exchanges are included? Do you need spot or derivatives data?
  2. Granularity & History: Does the API deliver tick-level trades, minute bars, or only daily snapshots? How far back does the data go?
  3. Reliability: Is the data validated and aggregated from trustworthy sources? What is the uptime of the API?
  4. Pricing & Limits: Are there free tiers, rate limits, or tiered plans that support your data needs?
  5. Special Features: Does the API include on-chain data, AI-assisted signals, or example code?

Token Metrics and a few other advanced platforms provide comprehensive coverage alongside AI-driven analytics that can integrate seamlessly with research or engineering workflows.

How to Fetch and Use Historical Data via an API

Fetching crypto history using an API typically involves several common steps:

  1. Sign up with a data provider to obtain your API key
  2. Review API documentation to find relevant endpoints (e.g., /historical/prices)
  3. Send HTTP GET requests (using Python, JavaScript, etc.) with parameters such as asset symbol, time range, and granularity
  4. Parse JSON or CSV responses into your application for visualization or analysis
  5. Respect API rate limits and terms of use

For example, you can retrieve daily Bitcoin OHLC data from a well-documented endpoint and use it in pandas to build price charts, calculate volatility, or feed into a machine learning model. Programmatic access ensures you can automate research, power trading dashboards, or compare assets historically without manual downloads or spreadsheet wrangling.

Leveraging AI and API Tools for Crypto Analysis

Combining robust historical data APIs with AI-powered analytics unlocks new potential for crypto research. Platforms like Token Metrics utilize large datasets not just for presenting history, but for generating intelligence: pattern recognition, trading signals, anomaly detection, and fundamental scoring. By integrating API live feeds with AI models, you can:

  • Detect market regime shifts in real time
  • Build custom alerting and signal-generation bots
  • Enrich dashboards with sentiment, on-chain, and social indicators
  • Support research with up-to-date and historical context

This workflow ensures analysts, quant researchers, and builders can move from raw blockchain data to actionable insights efficiently, while focusing on accuracy and reproducibility.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

Frequently Asked Questions

What types of historical crypto data can I access with an API?

APIs give you programmatic access to a variety of historical data: price OHLCV (Open, High, Low, Close, Volume), order book snapshots, tick-by-tick trades, market capitalization, on-chain metrics, and more. The granularity and range depend on the specific API provider.

Are there free APIs for historical cryptocurrency data?

Yes, several APIs (including entry-level tiers from advanced providers) offer free endpoints for historical prices and market data. However, free plans may limit data granularity, history depth, or request frequency compared to paid subscriptions.

How far back do most crypto APIs provide historical data?

APIs vary: Bitcoin data typically goes back to 2010, while Ethereum and other major coins cover several years. Full coverage for all coins and smaller assets may depend on the exchange and the API provider’s archival policies.

Can I use historical crypto data APIs for machine learning or AI models?

Absolutely. Clean, granular API feeds are essential for training, validating, and deploying machine learning models for trend detection, price prediction, and anomaly analysis. Many platforms now deliver AI-ready historical crypto data to streamline these workflows.

What programming languages work best for integrating crypto APIs?

Most APIs return data as JSON or CSV, which can be fetched and handled with Python (using requests or httpx packages), JavaScript/TypeScript, Java, or Go. Providers often supply SDKs and code examples for easy onboarding.

Disclaimer

This blog post is provided for educational and informational purposes only. It does not offer investment advice or endorse any specific assets, services, or platforms. Always conduct independent research and review provider documentation before making technical or business decisions related to APIs and crypto data.

Research

How to Find the Most Accurate Crypto Price Data via API

Token Metrics Team
6
MIN

The search for reliable, real-time cryptocurrency price data is a common challenge for developers, analysts, and researchers in the digital asset space. With hundreds of active crypto exchanges and significant price discrepancies across platforms, choosing the right API can make or break your crypto app or data-driven workflow. But which crypto API actually delivers the most accurate price data?

Why Crypto Price Data Accuracy Matters

Whether you're building an app for portfolio tracking, algorithmic trading, DeFi analytics, or AI-powered crypto agents, precision in price feeds is critical. Inaccurate or delayed data can lead to flawed models, missed opportunities, or even compliance issues for institutional players. Since the crypto market is decentralized and fragmented, no single exchange houses the universally accepted price for Bitcoin or any other token. As a result, APIs aggregate data differently—some provide an average price across several exchanges, while others pick a primary source. How an API compiles and updates prices determines its accuracy and reliability.

The Main Types of Crypto Price APIs

Not all crypto price APIs are created equal. Understanding the different types can help you match your needs with the right provider:

  • Single-Exchange APIs: These offer prices directly from their own platform (e.g., Binance API). They deliver real-time trade data but reflect only that exchanges market.
  • Aggregator APIs: Providers like CoinGecko, CoinMarketCap, and Token Metrics collect and average prices from dozens (sometimes hundreds) of exchanges. This approach can minimize outliers and boost overall reliability, but latency or exchange coverage gaps may affect accuracy.
  • Premium APIs: Platforms focused on institutional users (e.g., Token Metrics, Kaiko, CryptoCompare) often offer robust methodologies for handling outliers, wash trading, and thin liquidity. These APIs tend to document their data curation processes more thoroughly.

When choosing a crypto price API, consider whether you need spot pricing, historical data, liquidity-weighted averages, or normalized feeds for your use case.

Evaluating API Price Accuracy: Key Criteria

Comparing API providers involves more than just looking at their exchange list. Here are the most important variables to assess:

  1. Data Sources and Coverage: Does the API include top-tier global exchanges, and how frequently is this list updated as markets evolve?
  2. Aggregation and Calculation Methods: Is the price simply the last trade, a weighted average, or an advanced formula that discounts unreliable exchanges or outliers?
  3. Update Frequency / Latency: How close is the reported price to real-time market activity? Lower latency is crucial for traders and automated agents.
  4. Transparency: Are methodologies documented? Can you verify how average prices are computed or how data integrity is ensured?
  5. Auditability and Error Handling: Does the API have systems to flag and fix suspicious data or sudden anomalies?

Many serious projects also look for compliance features, such as market surveillance and anti-manipulation policies, though this is more relevant for enterprise integrations than hobby projects.

Leading Crypto APIs for Accurate Price Data

Based on public documentation, developer feedback, and recent reliability tests, here are five of the most widely used crypto price APIs and how they address accuracy:

  • Token Metrics API: Offers real-time prices across thousands of cryptocurrencies, with liquidity-weighted methodologies and AI-enhanced outlier detection. Provides transparency through robust API docs and supports custom integrations for advanced users.
  • CoinGecko API: A popular free-to-use aggregator, drawing prices from more than 800 exchanges. Employs volume- and liquidity-weighted averages to offer a reasonably accurate view of the market.
  • CoinMarketCap API: One of the oldest aggregators, it pulls data from major global exchanges, filtering for reliability. Offers both free and paid tiers.
  • CryptoCompare API: Geared towards institutions, with configurable price aggregation formulas and high-tier exchange sources.
  • Kaiko API: Provides institutional-grade data with sophisticated error handling, audit trails, and low-latency feeds—ideal for enterprise AI models and trading systems.

No single provider is the "ultimate source"—trade-offs between speed, coverage, and cost exist. For most AI, DeFi, or advanced analytics projects, combining a trusted aggregator (like the Token Metrics API) with cross-references from single-exchange feeds offers a best-practice approach to price accuracy.

Tips for Using Crypto APIs in Your Projects

To ensure the highest price accuracy in your crypto app or data science workflow, keep these best practices in mind:

  • Cross-Verify Price Feeds: Dont rely on a single API for critical operations. Compare outputs from multiple top providers, especially during volatile market swings.
  • Understand Latency Constraints: Even the fastest APIs can be delayed by network latency or exchange downtime. For algorithmic trading, look for WebSocket feeds over basic REST endpoints.
  • Monitor API Status: Use dashboard tools and status pages to watch for outages or updates to exchange listings, both of which can temporarily affect price accuracy.
  • Leverage AI/ML Tools: Consider APIs that integrate machine learning, not just for data aggregation but also for anomaly detection, order book analytics, and risk reporting.
  • Review Documentation: Always delve into the providers API docs and update policies; transparent documentation signals a commitment to quality.

Ultimately, the API you choose should align with your use case—whether that's an AI-powered agent making split-second decisions, a portfolio dashboard for long-term holders, or a research tool tracking historical price shifts at scale.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

What is a crypto price API?

A crypto price API is a programmatic interface that allows apps and tools to access up-to-date digital asset price data from exchanges and aggregators. Developers use these APIs to retrieve spot prices, historical data, and market statistics, improving the responsiveness and accuracy of crypto-enabled products.

How do crypto APIs ensure price accuracy?

Most aggregator APIs use liquidity- and volume-weighted averages from multiple exchanges to provide representative prices. Leading providers employ filters to exclude abnormal data, detect outliers, and update the source list regularly to reflect top-performing exchanges. Documentation should always be reviewed for each provider's methodology.

Which API is best for research versus trading?

For research, broad coverage and rich historical data (e.g., CoinGecko, Token Metrics) are important. For trading, prioritized speed, low-latency feeds (such as those from Token Metrics, Kaiko, or direct exchange APIs), and advanced analytics/tooling are key. Many professionals use both types: one for research, and one for live trading signals.

Are free crypto price APIs reliable?

Free APIs can provide reasonably accurate prices, especially for widely traded assets like Bitcoin and Ethereum. However, they may offer lower rate limits, slower updates, or less historical depth than premium options. For critical or business applications, upgrading to a paid plan with greater support and data guarantees is advisable.

How frequently are prices updated on most APIs?

Update frequency varies: some APIs refresh data every few seconds, while others provide real-time data through streaming (WebSocket) feeds. For fast-moving markets, always check the provider's documentation for precise update intervals.

Disclaimer

This article is for informational and educational purposes only and does not constitute financial or investment advice. Always conduct your own research and consult a qualified professional for guidance specific to your situation.

Research

Exploring Crypto APIs: Types of Data You Can Access

Token Metrics Team
4
MIN

The explosion of digital assets has fueled a new era of on-demand data analysis, making crypto APIs essential for enthusiasts, developers, and analysts alike. But what kinds of information can you actually unlock using a crypto API, and how can this data power smarter apps or research?

Real-Time Crypto Prices and Market Snapshots

One of the most popular uses for a crypto API is accessing real-time pricing data. APIs enable you to pull the latest prices for thousands of cryptocurrencies across multiple exchanges instantly. This information is foundational for market analysis, digital asset tracking, and powering portfolio dashboards.

  • Spot Prices: The current buy and sell price for a cryptocurrency.
  • Volume: The amount traded within a particular time period.
  • Market Cap: Calculated by multiplying the price by circulating supply.
  • Highs/Lows: Highest and lowest prices over different intervals (e.g., 24-hour range).

Most leading APIs, such as the Token Metrics API, offer live pricing feeds for efficient decision-making and data integration.

Deep-Dive: Historical Price and Volume Data

Reliable historical data is key to uncovering trends, backtesting strategies, and building machine learning models. Crypto APIs typically allow you to pull:

  • Tick-level Data: Every trade or price change, often down to milliseconds.
  • OHLCV Data: Open, High, Low, Close, Volume over set intervals (minute, hour, day, etc.).
  • Aggregated Statistics: Average prices, moving averages, and other calculated metrics.

Historical endpoints help quant researchers and developers build accurate visualizations and statistical models. For instance, analyzing 365 days of closing prices can reveal volatility patterns or market cycles.

Order Book Depth and Market Liquidity Insights

Order book data provides the pulse of live trading activity, revealing granular details about market depth and liquidity. With a crypto API, you can access:

  • Bid/Ask Orders: See active buy (bid) and sell (ask) orders, including sizes and prices.
  • Order Book Snapshots: Full snapshots of orders at a moment in time or real-time streaming updates.
  • Depth Charts: Visualize how deep the market is at different price levels.

Order book access is crucial for algorithmic trading, slippage estimates, and evaluating liquidity. Some APIs even support aggregated order books across several exchanges for more complete market intelligence.

Live Trades, Transactions, and Ticker Data

In addition to static prices, many crypto APIs deliver real-time trade and ticker data. This includes:

  • Ticker Streams: Continuous feeds of price and volume changes for multiple assets.
  • Trades Feed: A chronological record of every executed trade—useful for volume analysis and pattern recognition.
  • Trade Metadata: Additional details like trade size, buyer/seller side, and unique trade IDs.

Use cases range from powering trading bots to feeding AI-driven analytics or anomaly detection systems. This granularity allows a deeper understanding of real-time market sentiment.

Access to On-Chain and Blockchain Analytics

Beyond market data, advanced crypto APIs now offer direct access to blockchain or on-chain data. Developers and analysts gain the ability to:

  • Monitor Wallet Balances & Activity: Track transactions, wallet holdings, and token movements.
  • Analyze Smart Contracts: Fetch function calls, execution outcomes, and contract metrics.
  • Identify Network Metrics: Including block times, hash rates, gas fees, and validator stats.

Such on-chain analytics underpin advanced research, compliance processes, and fraud detection strategies. APIs that aggregate insights across multiple blockchains add significant value for multi-asset and multi-chain projects.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

Frequently Asked Questions

What is the most common data provided by crypto APIs?

Most crypto APIs supply real-time prices, trading volume, order books, and historical price/volume data. Some also cover blockchain transactions and wallet-level insights—useful for a range of research and app development scenarios.

Can I get data from multiple exchanges with one API?

Leading crypto APIs aggregate data from various exchanges, allowing developers and analysts to access consolidated prices, order books, and liquidity. Aggregated APIs minimize discrepancies and broaden coverage.

How far back does historical crypto data go in APIs?

The available historical depth varies; top APIs like Token Metrics offer years of daily price data, with some offering tick-level data spanning months or years. Always review documentation for specific asset or interval support.

Why is programmatic access to crypto data important?

APIs allow for automated retrieval, filtering, and analysis of large datasets—enhancing research, powering trading robots, building dashboards, or supporting AI-driven models with up-to-date, reliable information.

What are practical uses for on-chain data from APIs?

On-chain data enables compliance monitoring, wallet tracking, DeFi analytics, NFT research, contract auditing, and forensic investigations. Modern APIs help analysts and businesses stay agile amid evolving blockchain trends.

Disclaimer

This article is for informational purposes only and does not constitute investment, financial, legal, or tax advice. Cryptocurrency markets are volatile and involve risks. Always conduct your own research before making decisions or building applications based on crypto data.

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