On-Chain Metrics.xlsx contains a description of the on-chain metrics. Merged_df.xlsx is the main data source containing the BTC prices, the on-chain metrics and the sentiment scores. btc_twets_new.csv and training.1600000.processed.noemoticon.csv are the data sources for calculating the sentiment scores. Sentiment_Analysis.py contains the code to calculate the sentiment scores. The scores are in Merged_df.xlsx BTC_Prediction.py contains the implementation of the main approach described in the paper, especially in Fig. 11.

Brand performance data collected from AI search platforms for the query "how to analyze onchain data".

# Crypto Price Monitoring Repository

This repository contains two CSV data files that were created to support the research titled "Price Arbitrage for DeFi Derivatives." This research is to be presented at the IEEE International Conference on Blockchain and Cryptocurrencies, taking place on 5th May 2023 in Dubai, UAE. The data files include monitoring prices for various crypto assets from several sources. The data files are structured with five columns, providing information about the symbol, unified symbol, time, price, and source of the price.

## Data Files

There are two CSV data files in this repository (one for each date):

1. `Pricemon_results_2023_01_13.csv`
2. `Pricemon_results_2023_01_14.csv`

## Data Format

Both data files have the same format and structure, with the following five columns:

1. `symbol`: The trading symbol for the crypto asset (e.g., BTC, ETH).
2. `unified_symbol`: A standardized symbol used across different platforms.
3. `time`: Timestamp for when the price data was recorded (in UTC format).
4. `price`: The price of the crypto asset at the given time (in USD).
5. `source`: The name of the price source for the data.

## Price Sources

The `source` column in the data files refers to the provider of the price data for each record. The sources include:

- `chainlink`: Chainlink Price Oracle
- `mycellium`: Built-in oracle of the Mycellium platform
- `bitfinex`: Bitfinex cryptocurrency exchange
- `ftx`: FTX cryptocurrency exchange
- `binance`: Binance cryptocurrency exchange

## Usage

You can use these data files for various purposes, such as analyzing price discrepancies across different sources, identifying trends, or developing trading algorithms. To use the data, simply import the CSV files into your preferred data processing or analysis tool.

### Example

Here's an example of how you can read and display the data using Python and the pandas library:

import pandas as pd

# Read the data from CSV file
data = pd.read_csv('Pricemon_results_2023_01_13.csv')

# Display the first 5 rows of the data
print(data.head())`

## Acknowledgements

These datasets were recorded and supported by Datamint company (value-added on-chain data provider) and its team.

## Contributing

If you have any suggestions or find any issues with the data, please feel free to contact authors.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

NEAR is a user-friendly and carbon-neutral blockchain, built from the ground up to be performant, secure, and infinitely scalable. In technical terms, NEAR is a layer one , sharded , proof-of-stake blockchain built with usability in mind. In simple terms, NEAR is blockchain for everyone. NEAR Crypto Public Dataset on Google Cloud This dataset for NEAR blockchain contains the source code for ingesting NEAR Protocol data stored as OLAP-formatted text on Google Cloud BigQuery. The source data is streamed and transformed into cleaned and enriched tables. Who is this for? Blockchain data indexing is for anyone who wants to make sense of blockchain data. This includes: Users: create queries to track NEAR assets,monitor transactions, or analyze onchain events at massive scale Researchers: use indexed for data science tasks including onchain activities, identifying trends, or feed AI/ML pipelines for predective analysis Startups: can use NEAR's indexed data for deep insights on user engagement, smart contract utilization, or insights across tokens and NFT adoption Benefits Near instant insights: Historical onchain data queried at scale Cost-effective:eliminate the need to store and process bulk NEAR protocol data; query as little or as much data as preferred Easy to use: no prior experience with blockchain technology required; bring a general knowledge of SQL to unlock insights. Extract to powerful collaborative services such as Google Connected Sheets , Looker Data Studio , or integrate to third party tools like Tableau

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

The Bitcoin Payment Ecosystem Market is predicted to expand exponentially, reaching a value of $25.8 billion by 2033, showcasing a remarkable 21.81% CAGR during the forecast period from 2023 to 2033. This growth is largely attributed to the increasing adoption of digital currencies, advancements in blockchain technology, and a growing preference for online shopping. Key market drivers include the rising demand for secure and convenient payment methods, the growing popularity of cryptocurrency exchanges, and government initiatives to promote digital payments. The market is segmented based on transaction type (on-chain and off-chain), application (e-commerce, retail, remittances, and financial services), ecosystem component (cryptocurrency exchanges, payment service providers, Bitcoin wallets, and Bitcoin miners), business model (transaction fees, subscription fees, and merchant services), region (North America, South America, Europe, Middle East & Africa, and Asia Pacific), and top companies (Bitstamp, Coinbase, FTX, KuCoin, BitMEX, Poloniex, Huobi, OKX, Bybit, Bittrex, Kraken, Bitfinex, Binance, and Gemini). Regionally, North America holds the largest market share due to the presence of established players and a high adoption rate of digital currencies. Asia Pacific is expected to witness the highest growth rate due to increasing internet penetration and smartphone usage. Key drivers for this market are: Ecommerce integration, cross-border payments; remittance services; micropayments; decentralized finance. Potential restraints include: Increasing adoption Regulatory uncertainties Technological advancements Growing consumer awareness Market consolidation.

Analysis of ‘OpenSea Daily Ethereum Transactions’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ankanhore545/opensea-daily-transactions on 13 February 2022.

--- Dataset description provided by original source is as follows ---

This all-time data represents the raw on-chain activity of the tracked smart contracts.

I am thankful that we could collect the data from the dapprader platform: https://dappradar.com/ethereum/marketplaces/opensea These are for 5 ETH Smart Contracts as mentioned in the above site.

--- Original source retains full ownership of the source dataset ---

The Coffee Value Chain Analysis Market report provides a comprehensive overview of the industry's key segments and dynamics. Get five years of historical data alongside five-year market forecasts.

The blockchain messaging app market is projected to grow from USD 49.78 billion in 2025 to USD 1520.2 billion by 2033, at a CAGR of 42.42% during the forecast period. The increasing adoption of blockchain technology, the growing demand for secure and private messaging, and the rising popularity of decentralized applications (dApps) are the key factors driving the market growth. The blockchain messaging market is segmented based on architecture, data storage, messaging features, tokenization, application, and region. In terms of architecture, the peer-to-peer segment is expected to hold the largest market share during the forecast period. This is due to the benefits of peer-to-peer networks, such as decentralization, security, and scalability. In terms of data storage, the on-chain segment is expected to grow at the highest CAGR during the forecast period. This is due to the increased demand for data security and transparency. In terms of messaging features, the end-to-end encryption segment is expected to hold the largest market share during the forecast period. This is due to the growing concerns about data privacy and security. In terms of application, the social media segment is expected to hold the largest market share during the forecast period. This is due to the increasing popularity of social media applications and the growing demand for secure and private messaging platforms. Recent developments include: , The global Blockchain Messaging App market is projected to grow from an estimated USD 2.8 billion in 2023 to USD 1200.0 billion by 2032, exhibiting a CAGR of 42.42% during the forecast period. The market growth is primarily driven by increasing demand for secure and transparent communication, rising adoption of blockchain technology in various industries, and growing popularity of decentralized applications.Recent developments in the market include the launch of new blockchain-based messaging apps with enhanced features, such as end-to-end encryption, decentralized storage, and support for multiple cryptocurrencies. Additionally, partnerships and collaborations between industry players are fostering innovation and expanding the reach of blockchain messaging services. Key players in the market include LINE Corporation, Telegram, Signal Foundation and Status., Blockchain Messaging App Market Segmentation Insights. Key drivers for this market are: Decentralized data storage enhanced privacy, secure messaging immutable transaction records cross-platform compatibility. Potential restraints include: Growing adoption of blockchain technology Increasing demand for secure messaging The rising popularity of decentralized applications Government regulations Strategic partnerships and acquisitions.

Wheat / Grain Value Chain Market Analysis report offers the Value Chain Overview, Price Markups in the Value Chain, Stakeholder Analysis, and Issues and Challenges in the Value Chain. The report offers the market size in value terms in USD for all the abovementioned segments.

The Bitcoin transaction market, while exhibiting volatility inherent to the cryptocurrency space, demonstrates significant growth potential. The market's size in 2025 is estimated at $500 million, based on a logical assessment of current market trends and considering the substantial increase in Bitcoin adoption and institutional investment. A Compound Annual Growth Rate (CAGR) of 25% is projected from 2025 to 2033, driven by factors such as increasing global adoption of cryptocurrencies as a legitimate asset class, the growing demand for decentralized finance (DeFi) applications reliant on Bitcoin transactions, and the increasing integration of Bitcoin into mainstream financial systems. This growth is further fueled by technological advancements enhancing transaction speeds and reducing fees, thereby making Bitcoin transactions more accessible and cost-effective for a wider range of users. Regulatory clarity in certain jurisdictions, while still evolving, is also contributing positively, though regulatory uncertainty in other regions presents a notable restraint. Major players like Binance, Coinbase, Upbit, and others, compete fiercely for market share, driving innovation and efficiency within the transaction ecosystem. The market is segmented by transaction type (on-chain vs. off-chain), user type (institutional vs. retail), and geographical region, with North America and Asia expected to dominate early adoption and, consequently, market share. The historical period (2019-2024) likely witnessed considerable fluctuations reflecting broader cryptocurrency market cycles, but the overall trajectory points towards sustained, albeit uneven, growth. The future outlook for the Bitcoin transaction market remains optimistic, though subject to the inherent risks of cryptocurrency investment. Continued growth hinges on factors including broader regulatory acceptance, technological scalability enhancements (such as the Lightning Network), and a sustained interest in Bitcoin as a store of value and a medium of exchange. The interplay between these factors will determine the market's precise trajectory in the coming years. However, the projected CAGR, driven by increasing global adoption and technological advancements, indicates substantial growth potential. The competitive landscape, characterized by established exchanges and emerging players, promises further innovation and efficiency within the Bitcoin transaction ecosystem. Sustained growth, however, requires ongoing efforts to address scalability challenges and enhance user experience to further attract mainstream adoption.

The Cashew Market report segments the industry into Grade (White Wholes, Scorched Wholes, Dessert Wholes, White Pieces, Scorched Pieces, Dessert Pieces) and Geography (North America, Europe, Asia-Pacific, South America, Africa). The report includes Production Analysis in Volume, Consumption Analysis by Volume and Value, Import Analysis by Value and Volume, Export Analysis by Value and Volume, and Price Trend Analysis.

• Chain Block Market Scope:

The report on Chain Block Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. forecast years. The global chain block market is segmented on the basis of type, application, and geography.

The Global Chain Block market was valued at US$ XX.X Mn in 2018 and is projected to increase significantly at a CAGR of x.x% from 2019 to 2028. Read More

The global chain guide market is experiencing robust growth, driven by increasing automation across various industries and a rising demand for efficient material handling solutions. Our analysis projects a market size of $1.5 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This growth is fueled by several key factors: the expanding pipeline equipment and packaging machinery sectors, which heavily rely on chain guides for precise and reliable operation; the burgeoning automation industry, which necessitates robust and durable chain guides capable of withstanding high-speed and continuous operation; and the increasing adoption of advanced materials in chain guide manufacturing, leading to improved performance and longevity. Straight-line chain guides currently dominate the market due to their simplicity and wide applicability, although arc-shaped guides are gaining traction in specialized applications requiring more complex movement control. The market is geographically diverse, with North America and Europe currently holding significant market shares. However, the Asia-Pacific region, particularly China and India, is expected to witness the fastest growth in the forecast period due to rapid industrialization and increasing investments in infrastructure projects. While the market faces certain restraints such as material cost fluctuations and competition from alternative technologies, the overall positive outlook is underpinned by sustained demand from key industries and ongoing technological advancements leading to more efficient and reliable chain guide solutions. Key players in the market are continuously innovating to meet the diverse requirements of various applications, fostering a competitive landscape marked by strategic partnerships and product diversification. This includes developing customized solutions for niche applications and incorporating advanced materials and designs to enhance performance and durability.

This Excel based tool was developed to analyze means-end chain data. The tool consists of a user manual, a data input file to correctly organise your MEC data, a calculator file to analyse your data, and instructional videos. The purpose of this tool is to aggregate laddering data into hierarchical value maps showing means-end chains. The summarized results consist of (1) a summary overview, (2) a matrix, and (3) output for copy/pasting into NodeXL to generate hierarchal value maps (HVMs). To use this tool, you must have collected data via laddering interviews. Ladders are codes linked together consisting of attributes, consequences and values (ACVs).

The global Wallet On Chain market, encompassing both online and offline retail channels, is experiencing robust growth, driven by the increasing demand for luxury accessories and the rising popularity of designer brands. The market's value, estimated at $1.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching an estimated $2.8 billion by 2033. This growth is fueled by several key factors. Firstly, the rising disposable incomes in developing economies, particularly in Asia-Pacific, are boosting demand for luxury goods, including designer wallets. Secondly, the prevalence of social media and influencer marketing significantly impacts consumer purchasing decisions, driving the desire for high-end, recognizable brands. Thirdly, the ongoing preference for practical yet stylish accessories contributes to the consistent appeal of wallets, with the “on-chain” feature adding a unique element of modern convenience and brand association for many consumers. The market segmentation reveals that online retailers are experiencing faster growth compared to traditional shopping malls, indicating a shift in consumer purchasing habits towards e-commerce platforms offering wider selections and convenient access to luxury goods. The "Normal Size" wallet segment currently dominates the market but is anticipated to see strong competition from the growing "Mini Size" segment, appealing to a younger, more fashion-conscious demographic. Key players like Chanel, LVMH, and Gucci, alongside emerging luxury brands, are continuously innovating in terms of design, materials, and functionalities to maintain a competitive edge. Geographic analysis suggests that North America and Europe are currently the largest markets, owing to established consumer preference for luxury goods and higher disposable incomes. However, the Asia-Pacific region, especially China and India, is poised for substantial growth in the coming years due to rapid economic expansion and a burgeoning middle class exhibiting increasing interest in luxury brands. This expansion presents significant opportunities for existing market players and emerging brands to tap into this region's immense potential. Competitive pressures remain high, with brands engaging in strategies of product diversification, targeted marketing campaigns, and strategic partnerships to gain market share and maintain brand prominence. Despite some potential restraints like economic downturns and changing consumer preferences, the long-term outlook for the Wallet On Chain market remains positive, reflecting continued growth and evolution within the luxury accessories segment.

The global value chain analysis software market size was valued at USD 2.3 billion in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 12.5% from 2023 to 2030. The market growth is primarily attributed to the increasing adoption of digital technologies, globalization and outsourcing, and the need to optimize supply chain operations. Moreover, factors such as the rising complexity of global supply chains, growing focus on sustainability, and increasing demand for real-time visibility into supply chain performance are further driving the market growth. The on-premises segment held a significant market share in 2022 and is expected to maintain its dominance throughout the forecast period. However, the cloud-based segment is projected to grow at a faster CAGR during the forecast period due to the increasing adoption of cloud computing services and the benefits it offers, such as scalability, cost-effectiveness, and ease of use. The manufacturing and retail sectors are the major end-users of value chain analysis software, and they are expected to continue to drive the market growth in the coming years. Additionally, the Asia Pacific region is expected to witness the highest growth rate during the forecast period due to the growing manufacturing and retail sectors in the region.

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Supply Chain Analytics Market Size 2025-2029

The supply chain analytics market size is forecast to increase by USD 15.51 billion, at a CAGR of 22.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing need to optimize business processes and enhance operational efficiency. Companies are recognizing the value of leveraging data-driven insights to anticipate market trends, minimize risks, and streamline their supply chain operations. A key trend in this market is the increasing use of predictive analytics, which enables organizations to go beyond historical data analysis and gain a more proactive and strategic perspective on their supply chain operations. However, the implementation of supply chain analytics is not without challenges. Concerns around data security and privacy, as well as the complexity of integrating analytics tools with existing systems, can hinder adoption. Additionally, the need for specialized skills and resources to effectively analyze and interpret data can create a barrier to entry for some organizations. To capitalize on the opportunities presented by this market, companies must navigate these challenges by investing in robust data security measures, partnering with experts in analytics and implementation, and fostering a data-driven culture within their organizations. By doing so, they can unlock the full potential of supply chain analytics to gain a competitive edge and drive sustainable growth.

What will be the Size of the Supply Chain Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by the integration of advanced technologies and shifting market dynamics. Businesses are leveraging data-driven insights to optimize their operations, enhance sustainability, and ensure resilience. Data integration plays a crucial role in this process, enabling seamless flow of information between various systems and stakeholders. Ethical sourcing and social responsibility are increasingly prioritized, with supply chain visibility providing transparency into operations and enabling continuous improvement. Transportation routing algorithms and demand forecasting models help streamline logistics networks, reducing lead times and improving customer satisfaction. Risk management strategies, including disruption management and outsourcing, ensure business continuity and cost savings. Cloud-based solutions and machine learning algorithms facilitate real-time tracking and predictive analytics, providing valuable insights for agile supply chains. Performance metrics and warehouse automation further enhance efficiency and enable continuous improvement. Environmental sustainability is a growing concern, with supply chain optimization and lean manufacturing strategies being adopted to reduce carbon footprint and minimize waste. Blockchain technology offers increased security and transparency, while contract logistics and reverse logistics help manage complex supply chain networks. The ongoing unfolding of market activities and evolving patterns highlight the importance of data governance and data analytics platforms in the supply chain ecosystem. Supply chain collaboration and six sigma methodologies further contribute to the continuous improvement and optimization of operations.

How is this Supply Chain Analytics Industry segmented?

The supply chain analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userRetailManufacturingHealthcareTransportationOthersDeploymentOn-premisesCloud-basedServiceProfessional servicesManaged servicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

By End-user Insights

The retail segment is estimated to witness significant growth during the forecast period.In today's business landscape, retailers leverage advanced analytics solutions to optimize their supply chain operations. By integrating artificial intelligence (AI) and machine learning algorithms into inventory management systems, retailers can analyze historical sales data, market trends, and external factors to forecast demand accurately. This data-driven approach enables retailers to optimize inventory levels, reducing stockouts or excess inventory, and improving overall supply chain efficiency. AI-powered predictive analytics help retailers identify slow-moving or obsolete products and adjust inventory levels accordingly. Real-time tracking and demand forecasting models ensure the right products are available at the right locations, minimizing carrying costs and stockouts. Six S