
ScriptAlgo - The Algo Trading Guide
Your Hub of trading strategies, backtesting, brokers & bots
What it does
While other sites are either commercial platforms selling their own tools or fragmented forum threads, ScriptAlgo.trade is different. It is a purely objective, ad-free information hub. We don't sell anything; we curate. Our value is in the structure and neutrality. We save traders countless hours by providing a centralized, well-organized directory of strategies, brokers, backtesting platforms, and bot services, all compared and explained without a commercial agenda.
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The0 – self-hosted runtime for trading bots, bring your own languageJul 2026 · github.com · ▲18So Im a solo developer who has always had an itch for algorithmic trading. Initially I started off learning how to trade algorithmically with Yves Hilpisch book "Python for Algorithmic Trading" after reading that book I was hooked and started building algorithmic trading bots. Initially these were separate python scripts that I ran on my local machine. That was a bad idea cause local machines are not reliable and I wanted to run my bots 24/7 365. In my actual career im a software engineer with experience in building distributed systems and fault tolerant web applications. I wasn't…
- IBI built a platform for scripting your own Bitcoin trading bot in Python2014 · ▲8
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

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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


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