jesse-ai/jesseGitHub
choose when you need a crypto trading bot with backtesting and live trading, not just a research engine.
An advanced crypto trading bot written in Python
- 8.4k
- Python
- MIT
active1mo ago
polakowo/vectorbt Alternatives
backtesting / algorithmic trading
vectorbt is a Python backtesting engine that uses vectorized NumPy/Numba/Rust operations to run thousands of strategy parameter combinations at once.
Same job, different approach
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
zvtvz/zvtGitHub
choose when you need a modular quant framework with data integration across markets, not a vectorized matrix engine.
modular quant framework.
- 4.3k
- Python
- MIT
active3mo ago
edtechre/pybrokerGitHub
choose when you want event-driven backtesting friendly to machine-learning strategies, not vectorized array sweeps.
Algorithmic Trading in Python with Machine Learning
- 3.5k
- Python
- NOASSERTION
active2mo ago
Lumiwealth/lumibotGitHub
choose when you want a multi-asset algorithmic trading library with live brokers and AI agents, not just a backtesting engine.
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
- 2.0k
- Python
- GPL-3.0
active1mo ago
coding-kitties/investing-algorithm-frameworkGitHub
choose when you need a full deployment-oriented framework for automated strategies, not just a backtesting engine.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
- 1.8k
- Python
- Apache-2.0
active1mo ago
quarkfin/qf-libGitHub
choose when you need event-driven backtesting with broker/data integrations, not vectorized matrix runs.
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
- 956
- Python
- Apache-2.0
active1mo ago
santoshlite/EigenLedgerGitHub
choose when you want a portfolio-level backtesting engine, not strategy-level vectorized backtesting.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
- 1.1k
- Python
- Apache-2.0
slowing1.1y ago
fbertram/TuringTraderGitHub
choose if you work in C#/.NET and need an open-source backtesting engine.
The Open-Source Backtesting Engine/ Trading Simulator by Bertram Enterprises.
- 537
- C#
- AGPL-3.0
active5mo ago
ArturSepp/QuantInvestStratsGitHub
choose when you need portfolio performance analytics and backtesting with risk/factsheet reporting, not strategy-level array backtesting.
Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python
- 633
- Python
- MIT
active17d ago
Older generation, or narrower
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
enzoampil/fastquantGitHub
choose when you want a minimal-code ML backtesting wrapper, though stale and less flexible.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- 1.8k
- Jupyter Notebook
- MIT
dormant3.1y ago
NVIDIA-AI-Blueprints/portfolio-optimizationGitHub
choose when you need GPU-accelerated mean-variance/CVaR portfolio optimization, which is narrower than general backtesting.
Powered by NVIDIA cuOpt: a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling Mean-CVaR and Mean-Variance investment workflows with CUDA-X Data Science.
- 489
- Jupyter Notebook
- Apache-2.0
active22d ago
End-user tools
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
OpenByteInc/QuantDingerGitHub
choose when you want an all-in-one AI trading platform with live execution and agents, not a library to embed.
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
- 11.0k
- Python
- Apache-2.0
active1mo ago
constverum/QuantdomGitHub
choose if you want a GUI-based backtesting framework, not an embeddable library.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
- 773
- Python
- Apache-2.0
dormant4.3y ago
Listed as an alternative to
These projects were analysed and named vectorbt among their alternatives. The relationship is not symmetric — how vectorbt rates them is a separate judgement, made when vectorbt is analysed in its own right.
HKUDS/Vibe-TradingGitHub
calls vectorbt “Choose if you need high-speed vectorized backtesting rather than an LLM agent.”
"Vibe-Trading: Your Personal Trading Agent"
31.9kPythonactive
jesse-ai/jesseGitHub
calls vectorbt “Choose when you only need extremely fast vectorized backtesting and already have data/execution handled elsewhere.”
An advanced crypto trading bot written in Python
8.4kPythonactive