Footprint AnalyticsAfter its Airdrop, Where Does Blur Stand in the Market?
One year ago, the volume of NFT transactions going through aggregators began to snowball, even exceeding the volume going directly through marketplace platforms at times. While aggregator usage declined from October to January, Blur.io has since exploded in popularity in 2023, even engaging in a public confrontation with OpenSea over royalties. This month, Blur overtook OpenSea in transaction volume and had a massive airdrop event.Blur Aggregator Trading Volume vs. Marketplaces Footprint Anal...
Footprint AnalyticsGrowthly Quest Tools Now Free and Open to All Web3 Projects
Author: Stella L (stella@footprint.network) Footprint Analytics is excited to announce that Growthly, our intuitive no-code viral Quest solution, is now open to all Web3 projects! For a** limited time**, we’re offering free access to Growthly’s Quest H5, SDK, and mini apps to help projects boost user acquisition and retention through engaging, gamified experiences.Why Growthly?Growthly has already demonstrated remarkable success in the Web3 space, powering projects like Ton.AI to achieve over...
Footprint AnalyticsWhat is the Element NFT marketplace and NFT aggregation?
Oct. 2022, Vincy Data Source: Footprint Analytics — Element NFT Marketplace NFT marketplace Element was launched on July 1, 2021 as a solution to the problem of fluctuating interest rates on most DeFi programs and the liquidity of the principal after user deposits. On August 15, the platform officially launched its version** **2.0, which faces a different sector than the original version. Now, the platform calls itself the first community-driven decentralized NFT aggregation marketplace. This...
Footprint Analytics is a comprehensive blockchain data analytics platform that simplifies analysis and community management for sustainable
Footprint AnalyticsAfter its Airdrop, Where Does Blur Stand in the Market?
One year ago, the volume of NFT transactions going through aggregators began to snowball, even exceeding the volume going directly through marketplace platforms at times. While aggregator usage declined from October to January, Blur.io has since exploded in popularity in 2023, even engaging in a public confrontation with OpenSea over royalties. This month, Blur overtook OpenSea in transaction volume and had a massive airdrop event.Blur Aggregator Trading Volume vs. Marketplaces Footprint Anal...
Footprint AnalyticsGrowthly Quest Tools Now Free and Open to All Web3 Projects
Author: Stella L (stella@footprint.network) Footprint Analytics is excited to announce that Growthly, our intuitive no-code viral Quest solution, is now open to all Web3 projects! For a** limited time**, we’re offering free access to Growthly’s Quest H5, SDK, and mini apps to help projects boost user acquisition and retention through engaging, gamified experiences.Why Growthly?Growthly has already demonstrated remarkable success in the Web3 space, powering projects like Ton.AI to achieve over...
Footprint AnalyticsWhat is the Element NFT marketplace and NFT aggregation?
Oct. 2022, Vincy Data Source: Footprint Analytics — Element NFT Marketplace NFT marketplace Element was launched on July 1, 2021 as a solution to the problem of fluctuating interest rates on most DeFi programs and the liquidity of the principal after user deposits. On August 15, the platform officially launched its version** **2.0, which faces a different sector than the original version. Now, the platform calls itself the first community-driven decentralized NFT aggregation marketplace. This...
Footprint Analytics is a comprehensive blockchain data analytics platform that simplifies analysis and community management for sustainable
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Author: lesley@footprint.network
Backtesting is the use of historical cryptocurrency price data to simulate and assess the performance of a trading strategy or algorithm.
Backtesting plays a pivotal role in shaping successful trading strategies within the blockchain landscape. By uncovering profitable edges, it enables traders to construct rules-based approaches devoid of emotional biases.
Beyond this, backtesting instills confidence by allowing a thorough evaluation of strategy viability before any real capital is put at risk.
While backtesting brings a systematic approach to crypto trading, building practical backtesting inputs presents several challenges:
The Time of Obtaining Historical Data
While blockchains retain exhaustive transaction records, crafting precise backtesting datasets from this raw data requires substantial expertise and infrastructure — beyond the reach of most small firms in terms of both time and efficiency.
The Cost of Quality Data
Despite public blockchains being open-source, indexing the entire blockchain data incurs significant expenses. Building a node, cleaning the data, and organizing it require both expertise and resources.
While raw public data is accessible at no cost, transforming it into a format suitable for algorithmic trading backtests demands substantial computing resources and know-how.
The Footprint BatchDownload Solution is your objective answer to efficiently accessing blockchain historical data.
10x faster to get the data covering the full history
Experience the seamless access of over 30 blockchain historical datasets through Footprint’s Batch Download solution. You can effortlessly transfer vast historical data across various file formats, leveraging the efficiency of cloud storage.
This data covers the full history and you can retrieve incremental data within a single day, encompassing both full history and incremental updates.
80% cost savings compared to self-build data infrastructure
Experience significant cost savings with Footprint’s Batch Download ssolution. It’s far more economical than setting up nodes or pursuing a self-build approach. Benefit from affordable, developer-first pricing, ensuring that obtaining high-quality, structured historical blockchain data doesn’t break the bank. Save time, resources, and money with Footprint’s cost-effective solution.
Transforming blockchain data into backtesting-ready formats poses obstacles for traders. Footprint’s Batch Download provides 30+ clean, structured historical data to seamlessly power your modeling. Check our website or schedule a meeting to know more about the solution.
What is Footprint Analytics?
Footprint Analytics is a blockchain data solutions provider. It leverages cutting-edge AI technology to help analysts, builders, and investors turn blockchain data and combine Web2 data into insights with accessible visualization tools and a powerful multi-chain API across 20+ chains for NFTs, GameFi, and DeFi.
Footprint Website: https://www.footprint.network
Discord: https://discord.gg/3HYaR6USM7
Twitter: https://twitter.com/Footprint_Data
Telegram: https://t.me/Footprint_Analytics
Author: lesley@footprint.network
Backtesting is the use of historical cryptocurrency price data to simulate and assess the performance of a trading strategy or algorithm.
Backtesting plays a pivotal role in shaping successful trading strategies within the blockchain landscape. By uncovering profitable edges, it enables traders to construct rules-based approaches devoid of emotional biases.
Beyond this, backtesting instills confidence by allowing a thorough evaluation of strategy viability before any real capital is put at risk.
While backtesting brings a systematic approach to crypto trading, building practical backtesting inputs presents several challenges:
The Time of Obtaining Historical Data
While blockchains retain exhaustive transaction records, crafting precise backtesting datasets from this raw data requires substantial expertise and infrastructure — beyond the reach of most small firms in terms of both time and efficiency.
The Cost of Quality Data
Despite public blockchains being open-source, indexing the entire blockchain data incurs significant expenses. Building a node, cleaning the data, and organizing it require both expertise and resources.
While raw public data is accessible at no cost, transforming it into a format suitable for algorithmic trading backtests demands substantial computing resources and know-how.
The Footprint BatchDownload Solution is your objective answer to efficiently accessing blockchain historical data.
10x faster to get the data covering the full history
Experience the seamless access of over 30 blockchain historical datasets through Footprint’s Batch Download solution. You can effortlessly transfer vast historical data across various file formats, leveraging the efficiency of cloud storage.
This data covers the full history and you can retrieve incremental data within a single day, encompassing both full history and incremental updates.
80% cost savings compared to self-build data infrastructure
Experience significant cost savings with Footprint’s Batch Download ssolution. It’s far more economical than setting up nodes or pursuing a self-build approach. Benefit from affordable, developer-first pricing, ensuring that obtaining high-quality, structured historical blockchain data doesn’t break the bank. Save time, resources, and money with Footprint’s cost-effective solution.
Transforming blockchain data into backtesting-ready formats poses obstacles for traders. Footprint’s Batch Download provides 30+ clean, structured historical data to seamlessly power your modeling. Check our website or schedule a meeting to know more about the solution.
What is Footprint Analytics?
Footprint Analytics is a blockchain data solutions provider. It leverages cutting-edge AI technology to help analysts, builders, and investors turn blockchain data and combine Web2 data into insights with accessible visualization tools and a powerful multi-chain API across 20+ chains for NFTs, GameFi, and DeFi.
Footprint Website: https://www.footprint.network
Discord: https://discord.gg/3HYaR6USM7
Twitter: https://twitter.com/Footprint_Data
Telegram: https://t.me/Footprint_Analytics
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