Pinned Repositories
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Adala
Adala: Autonomous DAta (Labeling) Agent framework
Agentic-RAG-using-Crew-AI
Agentic RAG using Crew AI.
Article.EikonAPI.Python.NewsSentimentAnalysis
awesome-open-data-annotation
Open Source Data Annotation & Labeling Tools
Azure-IB
Backtesting-Pre-Market-Price-Action
This contains a series of statistical tests that allow you to determine whether certain stocks of the S&P500 and Nasdaq 100 exhibit an indicative pre-market price-action or not, and examines how the same stocks move during reporting periods.
canslimTechnical
Stock pattern recognition of cup and handle patterns
ChartPatternFinderDesktop
Qt based desktop application for stock market chart pattern recognition
cudf
cuDF - GPU DataFrame Library
jarodgeng's Repositories
jarodgeng/abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
jarodgeng/Adala
Adala: Autonomous DAta (Labeling) Agent framework
jarodgeng/Agentic-RAG-using-Crew-AI
Agentic RAG using Crew AI.
jarodgeng/awesome-open-data-annotation
Open Source Data Annotation & Labeling Tools
jarodgeng/cudf
cuDF - GPU DataFrame Library
jarodgeng/embedchain
The Open Source RAG framework
jarodgeng/examples
Learn to create a desktop app with Python and Qt
jarodgeng/fast_arrow
(no longer maintained) A simple yet robust (stock+options) API client for Robinhood
jarodgeng/finplot
Performant and effortless finance plotting for Python
jarodgeng/finta
Common financial technical indicators implemented in Pandas.
jarodgeng/HarmonicPattern
Detection of Geometric Fibonacci Harmonic Patterns
jarodgeng/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
jarodgeng/llm-ollama-llamaindex-bootstrap
Designed for offline use, this RAG application template is based on Andrej Baranovskij's tutorials. It offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
jarodgeng/LocalAI
:robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others
jarodgeng/medium
jarodgeng/OnePy
Python Backtesting library for OnePiece in trading.
jarodgeng/Options_Data_Science
Collecting, analyzing, visualizing & paper trading options market data
jarodgeng/practical-statistics-for-data-scientists
Code repository for O'Reilly book
jarodgeng/python-tradingview-ta
Unofficial TradingView technical analysis API wrapper.
jarodgeng/qiskit-tutorials
A collection of Jupyter notebooks showing how to use the Qiskit SDK
jarodgeng/qtpylib
QTPyLib, Pythonic Algorithmic Trading
jarodgeng/quantopian-offline-2020
A collection of my quantopian learnings, trying to use everything locally and with updated code which works in 2020.
jarodgeng/quantstats
Portfolio analytics for quants, written in Python
jarodgeng/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
jarodgeng/tastyscrape
Scrape live option, stock, and futures data from tastyworks.
jarodgeng/tdameritrade
Python interface to TD Ameritrade (https://developer.tdameritrade.com)
jarodgeng/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
jarodgeng/vectorbt
Python library for backtesting and analyzing trading strategies at scale
jarodgeng/watson-stock-market-predictor
A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.
jarodgeng/zvt
modular quant framework.