Popular GitHub Repositories for Backtesting Strategy

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

Algorithmic Trading in Python with Machine Learning

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Python AutoML for Trading Systems and Sports Betting

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation.

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.

Enterprise self-hosted Bitcoin Core automated trading software and trading bot, with DCA bot configuration, on-premise TWAP/VWAP strategy scripts, dynamic fee management, CCXT exchange adapter, compliance reporting, OTC desk integration, HSM hardware signing, real-time PnL metrics, and advanced strategy view windows.