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Alternatives

Products that do what EmidLabs — Quant Trading Infra does

Backtesting & live execution infra for AI trading agents

  1. 1
    Mobius93

    Describe a trade and Mobius builds, backtests, and runs it

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    Personal AI quant research & backtest with natural language

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    Algorithmic Trading with Back Testing

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    Wrabbit91

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    Gauge111

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    Nansen AI138

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    Metorial115

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    Krater107

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  9. 9

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  10. 10

    Crypto, AI Tools, Web3, Trading, Smart Contracts

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  11. 11
    Fensory20

    Turn Claude or ChatGPT into your personal trading desk

    4d ago · fensory.com

  12. 12

    15 MCP tools. 27 retailers. Search, compare, buy

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  13. 13

    Self-hosted AI quant OS for research, backtests & trading

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  14. 14

    Your Personal Quant Analyst for Trading.

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  15. 15

    AI quant trading desk for backtesting and live trading

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  16. 16QT

    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

  17. 17SO

    hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together this report. This was a looot of work, so I hope y'all like it. Introducing … State of AI Agents 2024 report On Langbase, we processed 184 billion tokens and handled 786 million AI agent runs from 36K developers. From all that data plus insights from 3.4K builders who filled out…

    2024 · langbase.com

  18. 18

    Describe, backtest, and automate your trading strategy

    5d ago · hey-traders.com

  19. 19BA

    Connect Your AI to Institutional-Grade Market Intelligence Plug any AI client, from ChatGPT to custom agents, directly into our financial data engine. Get real-time stock prices, fundamentals, institutional trading insights, and other financial data delivered through a universal Model Context Protocol (MCP) server.

    Mar 2026 · financialdata.net

  20. 20IM

    How it works (tech stack): -Built entirely with Lovabl.dev (no-code front-end + logic) -ChatGPT / Claude for research and inspiration -Powered by GPT-4 Vision to interpret charts visually -Hosted on Supabase for performance & caching It’s not meant to replace analysts — just to speed up how traders interpret data. I’m a designer exploring AI tools, and this is my first attempt to turn an idea into a functional product. Would love to know what you think.

    Oct 2025 · quantify-ai.co

  21. 21PA

    We built PrivateClaw because the hosted OpenClaw platforms on the market today require you to trust them with plaintext. PrivateClaw removes that requirement at the hardware layer. PrivateClaw runs AI agents inside Trusted Execution Environments (TEEs), backed by AMD’s SEV-SNP standard. This means that your data is encrypted at the hardware level, enforced by the AMD Secure Processor outside the host OS trust boundary. PrivateClaw comes with inference that also runs inside TEEs, which means your prompts and completions are private as well. How it works: Each user gets a dedicated CVM…

    Apr 2026 · privateclaw.dev

  22. 22IS

    Hey HN! For that last 8 months I've been trying to make agents that can hack web applications to find vulnerabilities in them - An AI Security Tester. The system has 29 agents in total, a custom LLM Orchestration framework which works on the task-subtask architecture (old-school but works amazingly for my use case, and is pretty reliable) with custom agent calling mechanism. No Auo-Gen, Langchain and Crew AI - Everything custom built for pentesting. Each test runs in an isolated Kali linux environment (on AWS Fargate), where the agents have full access to the environment to undertake any…

    2025

  23. 23

    A 12-factor stock signal engine with Monte Carlo simulation.

    4d ago · linkedin.com

  24. 24AR

    Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…

    May 2026 · agents-cli.sh

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