Tools

Organizations

Whalemap, Actionable on-chain data for Bitcoin trading. Mapping the market from first principles. Hourly resolution, unique metrics, historical data.

whalemap

Track on-chain transaction volume. Keep on top of movement on-chain to get fuller picture of a given cryptoasset's ecosystem.

Uncover token centralization levels. Discover how centralized a given token's ownership base really is - especially how much is held by the project team and early investors.

Monitor large "whale" transactions. Track large "whale" transactions that are not reflected on exchange order books but are visible on-chain.

Token Analyst

We believe the fundamental impact of decentralized technologies can only truthfully be measured by looking at blockchain data itself. Our contextualized insights help investors and traders make informed decisions, and foster market maturity.

We're an ambitious team of researchers, builders and entrepreneurs with many years of experience in the crypto space and passionate about digital currencies.

'Unlocking the value of on-chain data' is what we are about at our core. Our products and services deliver the context needed to make this fundamental data accessible, digestible and actionable.

Glassnode

revert, Actionable analytics for DeFi liquidity providers.

An initial naive approach to take when counting LP tokens an account owns, would be to simply check the balance the account currently holds. The Uniswap subgraph makes this particularly easy. The problem with this approach is that many times LP tokens are staked in various contracts that provide reward incentives, at which point the tokens are not held by the account.

A different approach that addresses this issue is to compute the LP tokens that have been “minted” and “burned” by the account, when depositing and withdrawing assets from the pool. This addresses the problem of LP tokens being staked in any unknown contract, however, it comes with some important caveats:

If an account transfers LP tokens to a different account, or contract, in a way that would imply relinquishment of ownership, they would still appear as being owned by the original minter account.

If an account receives LP tokens from a different minter account, they are (currently) not counted as being owned by the receiving account.

The first issue is easy to address in a manual fashion by providing an option to “ignore” the LP position in question. The second issue can be addressed by accounting for received LP transfers, and differentiating these from transfers that might be the result of unstakings, which we are currently working on.

It’s almost certain that our approach will evolve over time as changing practices with regard to staking contracts, feedback from users, and our own experience will improve our solution to the problem described.

revert

Block Analitica develops software solutions for digital asset metrics and equip clients with unique data insights for the crypto asset class.

We believe that digital assets are an established asset class driven by specific rules and metrics. We focus on the aggregation of fundamental data which the sophisticated investor currently lacks when attempting to perform due diligence in the space of digital assets.

We understand and interpret blockchain network data dynamics and impose various metrics to benefit investment decision making. The price patterns of digital assets tend to correlate with various parameters of network activity, open source development and other typical trading venue attributes. Aggregated data is diagnosed and included in the Block Analitica platform where investors can obtain proper data with which to examine digital assets.

The Block Analitica team comprises four members with backgrounds in finance and computer science. The platform was born from a need to determine the fundamental components of digital portfolios.

Block Analitica

Uniswap.info is Uniswap Protocol Analytics, based Uniswap.

Uniswap.info

Free global database of active blockchain businesses, funding rounds, teams and digital securities.

Kepler Finance is dedicated to providing comprehensive data focused on the DLT and digital asset sector for investors. Our own research into blockchain companies shows us how fragmented blockchain investment data is at both the company and industry levels. As a result, investors have to spend a lot of time searching and confirming information across multiple channels, and they still can never be sure that the dataset is complete and accurate. We believe that solving this problem will increase trust and unlock value in the sector. Find your blockchain industry answers here We gather key data about the company across multiple sources, so that anyone researching the blockchain space can find it easily. Use Kepler Finance to learn about: Active businesses, teams, advisors and investors Historical data on deals and exit events in blockchain Industry Specific company performance and industry trends The most complete list of all Security Token Offerings.

Kepler Finance

Digital Assets Data is a fintech and data company building enterprise-grade software and data feeds for crypto hedge funds and other market participants. As the cryptoasset ecosystem grows, asset managers will need higher quality information and more sophisticated tools to track and manage investments, conduct due diligence, and make trading decisions.

Digital Assets Data

We call our algorithm Peoplerank. It works similar to the original Pagerank. We previously used the name: “cryptoinfluencers.io”.

The Crypto Ecosystem. Crypto is a large, global, unstructured network. We believe that it’s the first of its kind.

On one hand, it’s similar to a startup ecosystem. But startup ecosystems came out of specific cities and were largely dependent on personal iterations. They were local first, global second networks.

On the other hand, it’s similar to the academic network. But scientists don’t raise or invest money. They rely on the support of institutions they work for. They form a global first, local second network, but financial capital does not flow freely through this network like it does in crypto.

We estimate that there are already over 1 million people in the crypto community. And this number is growing.

We believe that a key to map such a network is to quantify how attention flows through it. Influence of individual members of this group is predicated on how much attention they receive from the rest of the group.

That’s the reason we say we use mathematics for the mapping. In particular, we conduct lots of cluster analysis and bayesian inference.

The goal is to describe this network mathematically, so that one can get a reliable information about a given person’s or group’s role without even knowing the name.

It is possible to do that with other networks. For instance a corporation or an army. Knowing that somebody is a “director of distribution” or a “colonel” tells us a lot about the role of a person in a given group, without revealing their name or any other information.

Once this network is described mathematically, lots of new, useful products can be built using this information.

To start with, we are introducing three products:

Lists of influential people in given communities. These take the forms of the tables you can browse on the homepage.

Profiles of individual people. These display more detailed information and the list of clusters a given person belongs to. You can open profiles by clicking on a given name in the table.

Personal Analytics tool. This tool is designed to provide you more information about yourself. Not only we want to show your scores in specific clusters, but also map your network, so that it’s easier for you to keep track of who is following and interacting with you. You can sign up for the waiting list here.
More importantly, we are planning to open an API. You can already apply for early access here.

hive.one

Autonomous Research is a leading independent research provider on the financial sector. Founded in 2009, the firm has distinguished itself with in-depth, unbiased investment research on global banks, brokers, asset managers, insurance, information services, payment-technology, mortgage finance and consumer finance companies.  The firm has more than 35 highly experienced analysts, seeking to marry the big picture macro and thematic trends with bottom up investment selection. The firms offers in depth research and analysis, consistently leading the debate on key themes for stocks and markets. We are unique in offering integrated research, with no silos between equity and credit. Autonomous NEXT, the London-based Fintech practice within the firm, explores the impact of technology on the future of finance.

whalemap

Mapping the market from first principles.

whalemap Introduction

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