Tools

Organizations

CoinParticle tracks your favorite cryptos through visualizations. App available for IOS and Android devices.

CoinParticle

In crypto markets, reliable information is difficult to come by, yet continues to be the most valuable asset. Reading dense and technical white papers, Twitter, Medium, Reddit, and Telegram can be a good way to learn about crypto assets but requires a significant amount of time and might not lead to true insights.

We at Circle Research want to provide you with the right information so you don’t have to put in hours of leg work separating fact from fiction. To start, we are officially launching with crypto asset primers on EOS, Cardano, and Qtum. Our easily readable yet in-depth primers outline key details, features, risks, and challenges associated with individual crypto assets.

We are also launching a weekly crypto recap. This report will be released every Friday and provides readers with a look at key crypto industry news, insights and a succinct performance summary with charts examining the crypto market at large over the past week.

Circle Research

We utilize machine learning to provide comprehensive on-chain data and analytics to institutional investors. A data company delivering unique data with machine learning to value cryptocurrencies and uncover actionable signals.

We deliver on-chain data metrics that focuses on unique categories of addresses via API, or directly into Python, R, Excel and many other tools.

We bring undiscovered data by deanonymizing addresses and analyzing cryptocurrency flows, providing actionable insight on the whole cryptocurrency ecosystem.

Based upon our data, we conduct research in order to better understand how on-chain data can be used to understand the cryptocurrency market.

CryptoQuant

Mempool Explorer, Streaming mempool data made easy. Build real-time transaction event streams with Mempool Explorer. Fast, flexible, and easy-to-integrate with your projects and trading strategies.

Global mempool events as they happen. Captured & filtered how you want.

Our Mempool Explorer™ is the easiest way to work with mempool data. Mempool Explorer helps exchanges, protocols, wallets, and traders monitor and act on transactions in real-time. So that you and your team can remain focused on delivering reliable, resilient, predictable transaction experiences.

Mempool Explorer

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

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

Real-time blockchain analytics. FRST.io make enterprise grade, trading-desk-ready crypto software. Using their software, a trader can track large and subtle movements of crypto into various wallets and exchanges to get insight into which way the markets are moving. You can also tune your algorithms with their expansive data sets, which include annotated information back to block 1.

FRST

Nethermind is The world’s fastest Ethereum .NET Client and P2P Data Marketplace for the decentralised future, founded by Tomasz Kajetan Stanczak. 

Nethermind's flagship product is a superfast and comprehensive Ethereum 1.x client. We also build a decentralized marketplace that can serve as an Infura decentralizer (without excluding Infura!) and a great tool for DeFi data streams and reports. The project was bootstrapped in 2017 and then received an Ethereum Foundation grant in August 2018 to deliver the full client implementation. All our products work directly on Ethereum mainnet and use native ETH + DAI. The team remains loyal to Ethereum with heart and mind.

Nethermind

Nansen analyzes 46M+ labeled Ethereum wallets and their activity. So you can separate the signal from the noise in blockchain data.

Nansen is an analytics platform for blockchain, which combines on-chain data with a massive and constantly growing database containing millions of wallet labels. Customers use Nansen to access this data via user-friendly dashboards, direct SQL queries, or APIs.

Nansen

Dai is a decentralized stablecoin that has a target price of 1 USD. It has a soft peg, so one Dai may be worth slightly more or slightly less than 1 USD at a given point in time. This site gives an estimate of the Dai - USD price over time.

If there were large DAI-USD markets, it would be easy to calculate the Dai-USD price. Coinbase has a Dai-USDC market that is effectively a USD market since USDC can be converted directly to USD on Coinbase with no fee. This market is tracked on the dashboard as "DAI-USD".   However, the volume of this market is small. If others form, they will be added.

The largest Dai trading volumes are against ETH. There are also large ETH-USD markets. Therefore, if you know the DAI-ETH price and ETH-USD price, you can estimate the DAI-USD price from these values.

First, the DAI-ETH price is determined from the best price offered on decentralized exchanges. We do not track DAI-ETH prices on centralized exchanges (because who trusts them?). We use the algorithm from dexindex.io to find the best price but we also include the price on oasisdex(eth2dai) , one of the biggest decentralized DAI-ETH exchanges.

Next we calculate the ETH-USD price. This is a volume-weighted average price from centralized exchanges that either have 1) direct ETH-USD markets or 2) allow US customers to freely trade ETH for USDC (which can be converted to USD on Coinbase). Right now the biggest ones are Coinbase and Binance (todo: add Kraken). One complication is that the largest ETH market on Binance is ETH-USDT. USDT is a centralized stablecoin that trades at a discount to USDC since it is not directly convertible to USD. Therefore, we include this market in the ETH price, but adjust the value based on the USDT/USDC market.

We track both the ETH-USD price and the total Dai supply as these may influence the DAI-USD price. You can toggle these on the main overview graph.

CoinParticle

Track your favorite cryptos through visualizations.

CoinParticle Introduction

CoinParticle Related