#
Starred repositories
A Python package for using Artificial Intelligence (AI) with geospatial data
Python client for Alpaca's trade API
A trading algorithm using Alpaca's API to buy oversold and sell overbought stocks & crypto assets
In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-series data, I had tested the Moving Average(MA) cross-over st…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube
A program for financial portfolio management, analysis and optimisation.
Portfolio and risk analytics in Python
FinRL: Financial Reinforcement Learning. 🔥
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
This sample shows how to deploy an AKS cluster with Application Gateway, Application Gateway Ingress Controller, Azure Container Registry, Log Analytics and Key Vault.
common data analysis and machine learning tasks using python
Python Data Science Handbook: full text in Jupyter Notebooks
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
基于Unity开源框架GameFramewrk实现的一款塔防游戏Demo
Nice and clean Online Shop app UI by using #Flutter.
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 b…
📈 Get real-time stocks from TradingView
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Python Backtesting library for trading strategies
Implementation of some trading strategies and verifying their performance by backtesting using historical prices.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
