Blockchain Data Indexer with TrueBlocks

To begin with, blockchain is a type of a shared database that differs from a typical database in the way it stores information. A blockchain is a growing list of records, also called blocks, that are linked together using the latest cryptography technology. In general, each block contains a cryptographic hash of the previous block, … Read more

Great blockchain insights with PARSIQ triggers for AXS

In this project we utilize PARSIQ Smart Triggers and Google Spreadsheets integration to track and visualize AXS token transfers on Ethereum and Binance Smart Chain that involves most liquid exchanges. AXS is an Ethereum token that powers Axie Infinity, a blockchain-based game where players can battle, collect, and build a digital kingdom for their pets. … Read more

Generating Fast and Easy PARSIQ triggers for CryptoPunks

We created three PARSIQ Platform Smart Triggers that respond to CryptoPunks directly related on-chain events and follow custom logic to deliver all necessary transaction information about the price action. Offers for Sale of the limited CryptoPunks collection are particularly vital to traders and collectors. New listings might prove to be an opportunity to profit from … Read more

Simple App with Ceramic Data Model and Unstoppable Domains

Ceramic allows users to have complete ownership over their data by providing decentralized technologies for authentication and data storage. In this tutorial we set up an application to interact with JS HTTP Client through a public Ceramic node. In addition we create a deterministic Ceramic Tile and resolve an unstoppable domain which we store in … Read more

Simple QR code generator on AWS with Flask

As part of the Gitcoin bounty for Casper hackathon we developed web application in python Flask that generates QR code. We host the application at on AWS Elastic Beanstalk with GitHub pipeline. The GitHub repository for the project. The overview of the project The app generates QR codes for transactions on Casper local nodes, … Read more

Improving Blockchain Credibility with UMA

Key Performance Indicator (KPI) options are synthetic tokens that will pay out more rewards if a project’s KPI reaches predetermined targets before a given expiry date. Every KPI option holder has an incentive to improve that KPI because their option will be worth more. This is intended to align individual token holder interests with the … Read more

Simple Image Classification with EfficientNet

Humans unlike computers make sense of what we see based on our experiences, memories and biological structure. Human brain extracts and analyses humongous volumes of data using visual cues. To understand the true effect of sight, 40% of our nerve fibers are linked to the retina, and 90% of information transmitted to the brain is … Read more

Advanced Realized Volatility and Quarticity

Volatility estimators are especially valuable in modelling financial returns and capturing time-variability of financial series. The ongoing $100k Optiver Realized Volatility Prediction Competition on Kaggle has further sparked interest in the research of high-frequency data and revitalized the interest in the field. In the following articles we introduced time-series data and realized volatility as well as financial … Read more

Machine Learning simple Sklearn Ensemble

This post is a write up on sklearn pipeline with multiple regression models for multiple target columns using traditional and established libraries such as numpy, pandas, scipy and sklearn. This post explores further the topics of the previous article on sklearn pipeline for time-series data, which you can find here: Some of the ideas for … Read more

Simple Return, Log Return and Volatility easy intro

Following $100k Optiver Realized Volatility Prediction Competition on Kaggle, interest in financial time-series and concepts has drastically increased. Besides, in this website we have not travelled past the very introductory concepts in time-series ecnnometrics. Therefore in this blog post we are going to introduce the concepts of simple returns, log returns and realized volatility. In … Read more