fabiodr
Follow
Trading
Python Backtesting library for trading strategies
Zipline, a Pythonic Algorithmic Trading Library
A bitcoin trading bot written in node - https://gekko.wizb.it/
Python wrapper for TA-Lib (http://ta-lib.org/).
A JavaScript / TypeScript / Python / C# / PHP / Go cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A python wrapper for Alpha Vantage API for financial data.
A simple interface to the Alpha Vantage API.
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
Ask it anything about any company and it will answer!
Democratizing Internet-scale financial data.
This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
Stock summarization app that retrieves financiel data from Yahoo Finance for stock ticker and summarizes recent news related to the stock using OpenAI language models.
MiniAGI is a simple general-purpose autonomous agent based on the OpenAI API.
An app that generates a summary report of YouTube videos related to stocks every hour. Your task is to write prompts to ChatGPT, obtain the generated code/app from ChatGPT and put them together
Trading-AI is a trading bot based on bbgo and langchaingo.
Trade Stocks with Node.js, Alpaca, and GPT-3
This repository will teach you how to use ChatGPT to implement trading code and automate trading.
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
Investment Research for Everyone, Everywhere.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
A unified framework for machine learning with time series
Automatic extraction of relevant features from time series: