Highlights
- Pro
Lists (13)
Sort Name ascending (A-Z)
- All languages
- Assembly
- Batchfile
- C
- C#
- C++
- CMake
- CSS
- Cuda
- Cython
- Dockerfile
- EJS
- GLSL
- Go
- HTML
- Java
- JavaScript
- Jsonnet
- Jupyter Notebook
- Kotlin
- Lua
- MATLAB
- MDX
- MQL5
- Makefile
- Markdown
- Mojo
- OCaml
- Objective-C
- Objective-C++
- OpenEdge ABL
- PHP
- Perl
- PureBasic
- Python
- R
- Ruby
- Rust
- Scala
- Shell
- Smali
- Solidity
- Stata
- Svelte
- Swift
- TeX
- TypeScript
- Verilog
- Vue
Starred repositories
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Instant AI Git Commit message, Git changes summary from the CLI (no API key required)
Python AutoML for Trading Systems and Sports Betting
A custom OpenAI gym environment for simulating stock trades on historical price data.
Financial Markets Data Visualization using Matplotlib
A nimble options backtesting library for Python
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Enhanced ChatGPT Clone: Features Agents, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code…
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).
A python module to repair invalid JSON, commonly used to parse the output of LLMs
Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your trading strategies.
A Jupyter notebook to analyse freqtrade results
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
A standard framework for modelling Deep Learning Models for tabular data
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Transparent and Efficient Financial Analysis
🔎 📈 🐍 💰 Backtest trading strategies in Python.
A unified framework for machine learning with time series
Plotly Dash components based on Mantine React Components
Data Apps & Dashboards for Python. No JavaScript Required.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Automate the process of making money online.
Next generation frontend tooling. It's fast!
Automate Creation of YouTube Shorts using MoviePy.
Python Backtesting library for trading strategies