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Alternatives

Products that do what Nyquist does

Risk, pricing, and stress testing without spreadsheet sprawl

  1. 1
    Datrics135

    Create a better credit-risk model in days without coding

    2021

  2. 2

    The finance Spreadsheet killer, 20x faster, built in Notion

    2023

  3. 3
    Finary330

    Track your net worth in real-time

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  4. 4
    Yardstick174

    Benchmark and value startups with ease

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  5. 5

    Yahoo finance on steroids

    2022

  6. 6

    Real-time trading alerts and research platform

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  7. 7
    Insights115

    Save 80% on underwriting businesses everywhere

    2023

  8. 8
    Tickr123

    Invest in a better future for yourself and the world 🇬🇧

    2020

  9. 9

    Free US stock analysis

    2019

  10. 10

    Your own AI CFO, watching your money on autopilot

    May 2026

  11. 11
    Quantle28

    Visual backtesting for Traders and Investors

    2024

  12. 12

    The Data Hedge Funds Pay Millions For - Now Yours

    Jan 2026

  13. 13FF

    Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…

    2022 · factor.fyi

  14. 14
    Fienal24

    Learn finance by doing, one step at a time!

    2025

  15. 15AF

    Hey HN! I've always been fascinated by financial markets. This month, I decided to build a tool to help with the research of stocks and cryptocurrencies. I'm using YFinance as a data source because it's free and provides a wide range of reliable market data. For sentiment analysis, I'm leveraging Google Trends to gauge public interest and sentiment over time. The tool, named Zenith, is a command-line utility with four main features: Market Analysis: Provides insights like moving averages, RSI, and volatility for selected stocks or cryptocurrencies. Sentiment Analysis: Uses Google Trends to…

    2024 · github.com

  16. 16IB

    I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…

    Jun 2026 · terminal.tesseractanalytics.ai

  17. 17NA
  18. 18QT

    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

  19. 19IB

    Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…

    Sep 2025 · hikaro.app

  20. 20SA

    This is a project I have been working on for the past several months Extracted all fundamentals for every US company from SEC filings through XBRL tags.

    Jun 2026 · intrinsiqq.com

  21. 21SC
  22. 22

    Turn MT4/5 strategy reports into institutional quant metrics

    28d ago · verstats.com

  23. 23EP
  24. 24CC

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