Frank's repositories
qc_ideas_forked
A dump of all my quantconnect strategy ideas.
Auto-GPT-sandbox-wizard
AutoGPT-easy-install is a bash/powershell script designed for non-experts to easily install and run the AutoGPT application in a Docker container. The script checks if Docker is installed and installs it if necessary. It prompts the user for API keys, workspace folder path, and whether to run AutoGPT in continuous mode
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
wonda
AutoGPT prompt template for file based instructions and advice
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
qc-strategies
Algorithmic Trading Strategies using QuantConnect/LEAN and Python
AlphaHubTrader
AlphaHub Trader Optimus1
Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
quantopian_algos
Several python based Algos for algorythmic trading formerly on the Quantopian platform
research_public
Quantitative research and educational materials
zipline
Zipline, a Pythonic Algorithmic Trading Library
mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
pyfolio
Portfolio and risk analytics in Python
trading_calendars
Calendars for various securities exchanges.
bayesalpha
Bayesian models to compute performance and uncertainty of returns and alpha.
empyrical
Common financial risk and performance metrics. Used by zipline and pyfolio.
Quantopian-lectures-notebook-translation
Quantopian lectures notebook translation
alphalens
Performance analysis of predictive (alpha) stock factors
quantopian-machinelearning
By applying various machine-learning Techniques and creating Quantopian Tradin Stratigies
easylanguage-tools
Easylanguage-based program trading tools
Trading-Gym
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
free-python-games
Free Python Games
pygame_tutorials
Code to go along with lessons at http://kidscancode.org/lessons
rl-testbed-for-energyplus
A Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
models
Models and examples built with TensorFlow
actor-critic
Implementation of A2C and ACKTR in TensorFlow.