Alternatives
Products that do what Shinobidata does
20+ years of data with clean presentation and zero clutter
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Hey, I've built this website to empower retail investors. In summary, at the moment there are: Worldwide stocks to research; Unlimited financial filings history and visualization (quarter and annual); Qualitative analysis (through AI); Stock quotes; Stock comparisons with integrated filing reader, industry comparison and valuation models; Stock lists (country, sector, city, industry); Stock news, calendars; Custom dashboards; Simple, fast watchlists; Stock screener where you can apply custom criteria through 240 listed key figures and decide wether to use the latest quarter or annual data.;…
2024 · palmy-investing.com
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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
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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
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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
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2019 · stockwallet.io
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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
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I've developed a web app that organizes financial statements from SEC. There are similar products on the Internet, but all of them I found just "abstracts" raw information into something. For example, typical website has "Revenue" as a top-line metrics. In reality, that can be "Total Revenue", "Net Sales", "Operating Revenue", and so on. Those website can't cover exceptional values in same reason. I believe serious investors need raw financial statements aggregated because each number reflect the companies' financial performance. Major platforms like Bloomberg does that but too expensive for…
2024 · finboard.net
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https://www.forestpin.com/cse/ This is still experimental and is a different way of analyzing stocks in the long term. We consider Dividends, Rights Issues, Bonus Issues, and Splits to calculate the value of the share. This gives a more realistic view than simply looking at the share price variations. We reinvest cash from dividends in the same stock and sell existing shares to execute rights. It's a simple calculation but it gives a much better perspective of the stocks in the long term than simply looking at the share price. You can select a stock symbol or click on…
2016
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2023 · stockstack.ai
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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
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Hey HN! I built PRISM-INSIGHT, a multi-agent system where 13 specialized AI agents collaborate to analyze Korean stocks (KOSPI/KOSDAQ). It's completely open source and has been running live since March 2025. [What it does] The system automatically detects surging stocks twice daily, generates analyst-level reports, and executes trading strategies. Each agent specializes in something different – technical analysis, trading flows, financials, news, market conditions, etc. They work together like a real research team. [Why I built this] I wanted to see if GPT-4 and GPT-5 could genuinely…
Nov 2025
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Hey HN! Excited to show off Yuzu, the stock market and Crypto API we wish we always had. We built Yuzu to solve a problem we had while working on a prior project: current market data APIs are not built to enable rapid prototyping and scaling without a significant amount of upfront data engineering. In our previous app, a portfolio tracker, we had to ingest 30 years of historical data for stocks, crypto, ETFs, and mutual funds just so that we could re-expose that data to our frontend in a more efficient way. The number of API calls we would have had to make otherwise have made the app…
2022 · yuzu.dev
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Built a free open source agentic CLI tool for financial modeling & analysis. Hadn't played around with real equity valuation modeling for awhile and wanted to build tooling to get myself back into the game. Bull.sh lets you query & store 10-Qs, 10-K in a local vector store to chat with them, build investment thesis from scratch or build full framework models through the CLI to export into excel. It's open source, just requires your own Anthropic API key and (optionally) AlphaVantage Free API key if you want save some tokens from scraping. Feel free to play around with it. Some ideas I have…
Jan 2026 · github.com
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2021 · benkaiser.github.io
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I'm Canadian, live abroad, and my money is scattered across two countries, multiple currencies, banks, brokerages, real estate, and some private equity. No app could hold all of it, and none could answer a simple question like "what's my actual USD exposure?" Brisa pulls everything together (Plaid + manual accounts + real estate + PE, all multi-currency) and puts an AI on top that has my full financial picture in context. Instead of clicking through charts, I can just ask. Would appreciate any feedback!
Jul 2026 · demo.joinbrisa.com
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