Resources for developers using Python for scientific computing and quantitative analysis
Enter your Alchemy API key and an NFT contract address, and with one command generate CSV extracts for all token transfers, historical sales on OpenSea, and each underlying item’s metadata (with calculated rarity scores).
You can read more from us about what this is, and why it matters, here.
Scaling up pandas is hard. With Modin, we took a first-principles approach to parallelizing the pandas API. Rather than focus on implementing what we knew was easy, we developed a theoretical basis for dataframes—the abstraction underlying pandas—and derived a dataframe algebra that can express the 600+ pandas operators in under 20 algebraic operators.
Stock returns can be heavily impacted by certain events. Sometimes these events are unexpected or a surprise (natural disasters, global pandemics, terrorism) and other times they are scheduled (presidential elections, earnings announcements, financial data releases). We can use pandas to obtain financial data and see the impacts of events the returns of stocks.
Pandas is a great tool for time series analysis of financial market data. Because pandas DataFrames and Series work well with a date/time based index, they can be used effectively to analyze historical data. By financial market data, I mean data like historical price information on a publicly traded financial instrument. However, any sort of historical financial information can be analyzed.
This paper discusses the contrast between overnight and intraday stock returns. In the paper, we learn that overnight stock returns far outpace returns seen intraday during regular trading hours. In other words, stocks move the most when markets are not open, but when trading is taking place, the net returns seem to be close to zero. The paper claims this is a conspiracy where large hedge funds are manipulating the market. In this article, we will try to recreate the basic results from the article and look at one part of overnight returns that the article doesn’t discuss.
Learn these fun, exciting, unusual and just plain awesome pandas tricks to solve problems from the Advent of Code.
In this project, we will use Python to generate a collection of unique profile-picture avatar by layering images from a directory. This is the technique used bymany popular NFT collections like Cryptopunks or Bored Ape.
