Popular GitHub Repositories for Carbon Markets

FinRL: Financial Reinforcement Learning. ?

We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

Machine Learning + Financial Markets + Astrology = A Match made in Heaven

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

? Awesome Image Generator for Code Snippets & Mockups

?????? Findto is an open source assistant for decentralized search. Explore the best of Web, AI, and more.

Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Machine Lerning models for evaluation. P2.

The most largest prediction market - Polymarket copy trading bot: Copy master's trades and positions by using this bot

Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

Trading Pal is a natural langrage trading assistant, Integrated with Alpaca and Oanda brokers which allows multi market trading. which includes Forex, Crypto, and Stock markets. Our agent creates trading strategies, placing trades and can get your account details and more to come.

Machine Learning Cognitive Service capable of forecasting the crypto markets! Utilizing Microsoft Machine Learning & Intel MKL.

Implementation of EMNLP2020 accepted paper: "TopicBERT: Topic-aware BERT for Efficient Document Classification"

An experimental cryptocurrency trading system that combines AI-powered analysis with real-time market data and social sentiment monitoring. Features multiple microservices including market monitoring, social sentiment analysis, AI-driven trading signals, and automated trade execution. Built for fun.

A curated list of AI cases in Finance, financial data sets, and research papers.

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.

Hidden Markov Models in stock price forecasting.