Mark Bailey

NRCLex. An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.

Pi-Trader. A cryptocurrency day-trading bot for Raspberry Pi.

COVID-Agent-Based-Model. Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.

Markowitzify. Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."

Mesa-SIR. A Mesa-based ABM library for epidemiological (SIR) modeling.

Quantitative-Discursive-Analysis. A tool for quantitatively measuring discursive similarity between bodies of text.

Spacy-Affect-Model. A Spacy model for measuring emotional affect.

Meme-Propagation-Agent-Based-Model. A Mesa-based ABM for modeling meme propagation on social media

stonks. A set of tools to pull and analyze stock data.

Stock-Analysis. A set of tools for analyzing stocks of interest.

sentimizer. Sentimizer will measure sentiment around specific entities within text. It is built on NLTK, Spacy, and NRCLex.

arXiv-parser. A set of scripts for parsing scientific articles from arXiv.

Spectral-Integrated-Information. A small Python package + CLI to compute Φ_spectral (spectral integrated information) on multivariate time-series, as defined in When Wholes Resist Decomposition: A Spectral Measure of Epistemic Emergence.

BettiStreet. A research-oriented Python codebase for experimenting with Topological Data Analysis (TDA) on market time series.

3D-Drone-Swarm. An agent-based 3D swarm model to compute pos and vel vectors, as well as S, A, and S' for individual agents.