Alternatives
Products that do what Python Quant Finance: 280+ Algorithms does
280 runnable Python implementations for quant finance
- 1QI
2017 · quantra.io
- 2PA
2014 · blog.michaelsu.io
- 3MO
2021 · github.com
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- 7AH
2021 · github.com
- 8
- 9ZA
2013 · github.com
- 10PA
Hello, I am excited to share PyBroker with you, a free and open-source Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance. Some of the key features of PyBroker include: - A super-fast backtesting engine built using NumPy and accelerated with Numba. - The ability to create and execute trading rules and models across multiple instruments with ease. - Access to…
2023 · github.com
- 11LW
Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com
- 12QT
Today we're releasing Quant (https://sourcetable.com/quant), an AI analyst that connects to 600+ exchanges with 1000+ built-in analysis tools. Andrew, CTO, has a background building software at hedge funds so we put his knowledge and experience into this application. The core idea: if you already know spreadsheets, you shouldn't need to learn Python/R or set up complex infrastructure to do serious quantitative analysis. One way to think of Quant is a low-cost Bloomberg Terminal alternative. What's inside: Portfolio optimization (including Dalio's risk parity approach),…
Oct 2025
- 13
Quant trading using Python and Block Code. Live and Backtest
Jul 2026 · quantstudio.trade
- 14FF
finstruments is a Python library designed for modeling financial instruments. It comes with the core financial instruments, such as forwards and options, out of the box, as well as position, trade, and portfolio models. finstruments comes with the basic building blocks, making it easy to extend and build new instruments for any asset class. These building blocks also provide the functionality to serialize and deserialize to and from JSON, enabling the ability to store a serialized format in a document database. This library is ideal for quantitative researchers, traders, and developers who…
2024 · github.com
- 15DL
2017 · github.com
- 16
Open-source Python engine for defensible portfolio research
Jul 2026 · backtester.quantjourney.cloud
- 17
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- 19AG
2014 · quantopian.com
- 20
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Pass Quant interviews: math, coding & brain teasers
Jun 2026 · amazon.com
- 22
- 23QF
Hi Y'all, for those interested in trading using quantitative finance ideas, I'm open sourcing the software I made in the past 10+ years along with a series of tutorials on YouTube which gradually introduce the concepts. It's work in progress, for now I covered the foundations (stock price movements, option valuation, the arbitrage idea and the replication technique). Next I'll introduce how to import historical market data for stocks and options along with where you can buy it for a reasonable price (you can't find free historical options data) and some basic cleanup techniques because it…
2024 · aquarianz.com
- 24HL
2019 · medium.com
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