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Life & fun · alternatives · 2026

OT

This is a software project that implements trading algorithms optimized for parallel processing using IPython and Amazon EC2 cloud infrastructure. It was designed for developers and traders interested in computational… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Optimized trading algorithms using IPython parallel and ec2 launched in 2013; newer entries below may have overtaken it.

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    cryptocurrency trading robot. Contribute to owocki/pytrader development by creating an account on GitHub.

    2016 · github.com · its alternatives →

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    Zipline, a Pythonic Algorithmic Trading Library. Contribute to quantopian/zipline development by creating an account on GitHub.

    2013 · github.com · its alternatives →

  5. 5SA

    Trade multiple cryptocurrency and forex exchanges through a single interface or over a unified API. Build your trading strategies directly in the browser, backtest against every tick of historical price data and trade live with your broker. It couldn

    2014 · cloud9trader.com · its alternatives →

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    Composer▲225

    Build, backtest and execute trading algorithms with AI

    2023 · composer.trade · its alternatives →

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    Tradewave▲103

    The easiest way to build your own BTC trading algorithms.

    2014 · its alternatives →

  8. 8AE
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    Mirror▲81

    An Escrow Exchange for Bitcoin Trading

    2014 · mirrorx.jimdosite.com · its alternatives →

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    Better trading decisions with smart algorithms

    2023 · bonsai.trade · its alternatives →

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    Algorithmic Trading with Back Testing

    2014 · quantconnect.com · its alternatives →

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    Algory▲71

    Concurrency tools for crypto trading

    2018 · its alternatives →

  13. 13HL
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    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 · its alternatives →

  15. 15NA
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    I want to share a really dumb, but very practical project I have packaged this summer, to perform operations on strings much faster. I was using Python to work with a multi-terabyte newline-delimited file. Reading, splitting, and shuffling it was a nightmare. So, I wrapped a trivial hardware-friendly heuristic I've been using for the last few years into a CPython library. The part I enjoyed the most is implementing SIMD behavior without SIMD instructions... Using 64-bit words to work at 8-bit granularity. Unlike conventional SIMD, the code would remain the same for ~~almost~~ any hardware.…

    2023 · ashvardanian.com · its alternatives →

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    I've been working on Fast LiteLLM - a Rust acceleration layer for the popular LiteLLM library - and I had some interesting learnings that might resonate with other developers trying to squeeze performance out of existing systems. My assumption was that LiteLLM, being a Python library, would have plenty of low-hanging fruit for optimization. I set out to create a Rust layer using PyO3 to accelerate the performance-critical parts: token counting, routing, rate limiting, and connection pooling. The Approach - Built Rust implementations for token counting using tiktoken-rs - Added lock-free data…

    Nov 2025 · github.com · its alternatives →

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    Algorithmic trading for everyone

    2025 · its alternatives →

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    Platform for algorithmic trading with commission free flat rate brokerage

    2019 · kloudtrader.com · its alternatives →

  22. 22IB

    Hello HN. I built my own automated Bitcoin trading bot and noticed that many others want to do the same thing, but lack the coding skills required for the harder stuff, like order execution and backtesting. I like the idea of making automated trading more accessible to existing day traders as well as newcomers. Hopefully this will also inspire some people to learn to code. We’re currently in private beta, but please check out the site below. Feedback is more than welcome. http://tradewave.net

    2014 · its alternatives →

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    Evolutionary Algorithms (EAs) are a fascinating class of algorithms for meta-heuristic optimisation. Perhaps the most difficult question to answer is where do we start? There is so much to cover, and many potential starting points.

    2020 · datacrayon.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →