Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.

538 Election Forecasting Model

Provides examples of how to query Subgraphs published to The Graph Network in a variety of frameworks/languages

SDK for interacting with the Polymarket Wallets

Polymarket's public subgraph manifest for indexing on-chain trade, volume, user, liquidity and market data.

Grid2op RL project implementations | University of Witwatersrand

Baseline agent for usage of pandapower in Grid2Op

This A3C reinforcement learning code is implemented for tensorflow 2.0 and it is focused to demonstrate the implementation of a multi-threading agent (A3C) on [Grid2Op](https://github.com/rte-franc…

This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.

Looking at raw polymarket price data

Official reinforcement learning environment for demand response and load shaping

A JavaScript / TypeScript / Python / C# / PHP / Go cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.

Grid2Op a testbed platform to model sequential decision making in power systems.

Environments for OR and RL Research

Interacting with the Conditional Token Framework contracts using Web3py

Simple cli tool for trading on PolyMarket

Trade autonomously on Polymarket using AI Agents

Python client for the Polymarket CLOB

Polymarket CTF Exchange

ALIEN is a CUDA-powered artificial life simulation program.

Market maker keeper for the Polymarket CLOB

A Python GUI app for logging and displaying analog voltage data with the NI DAQmx API

Hurst exponent evaluation and R/S-analysis in Python

Generate realizations of stochastic processes in python.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

A curated list of practical financial machine learning tools and applications.