Latest Resources in Cryptocurrency

Cryptocurrency

Blankly github.com

Published October 28, 2021 under Quant Finance

Blankly is an elegant python library for interacting with crypto, stocks, and forex for in a consistent and streamlined way. Now, no more reading API or struggling to get data. Blankly offers a powerful feature-set, optimized for speed and ease of use, better backtesting, and ultimately better models.

We’re bridging the gap between local development systems & live APIs by building a framework which allows backtesting, paper trading, sandbox testing, and live cross-exchange deployment without modifying a single line of trading logic.

How to create an Ethereum Token with Python (ERC20) rasulkireev.com

Published October 25, 2021 under Programming

In this tutorial, we will create an Ethereum token on the Polygon Network from scratch. To create our token we will use Python and Python-like programming languages (Brownie and Vyper, we will learn more about them later).

By the end of this tutorial, you will have a personal token on a real Polygon network and hopefully a better understanding of how everything works on the Ethereum network.

Build a Real Time Bitcoin Price Notification Project using Python thecodingpie.com

Published January 14, 2021 under Trading

In this project, we are going to build a python script that will keep track of the latest bitcoin price. And it will send you a telegram message every 30 minutes (you can tweak that) with the latest 6 bitcoin prices (again you can tweak that too). You can set a minimum threshold value so that if the BTC price goes below that threshold, then the script will send an immediate alert message showing the price.

Building AI Trading Systems dennybritz.com

Published July 13, 2020 under Machine Learning

Lessons learned building a profitable algorithmic trading system using Reinforcement Learning techniques.

Lessons learned building an ML trading system that turned $5k into $200k tradientblog.com

Published December 8, 2019 under Trading

A common misconception is that the market cannot be predicted and that hedge fund managers are no better than dart-throwing monkeys. Many academic research papers back up this claim with data. This is an overly simplistic view. Just because some markets cannot be predicted under some experimental settings, such as equities traded on a daily basis, this does not mean no market can be predicted in any setting. Let us try to get an intuitive understanding of what it means to predict the market.