Alternatives
Products that do what Investorsexchange.jl – parse trade-level stock market data in Julia does
Backstory: I wanted to play with intraday stock data but couldn't find a free dataset anywhere. IEXCloud [1] offers API access to 1-minute granularity intraday historical price data, but I was worried that it could get expensive or unwieldy to build up a substantial dataset via API calls. Plus, IEX gives out their raw data for free. I probably should have just used the IEXTools python library [2] to parse IEX's raw data dumps, but I was working on a Julia project, so it felt more thematically appropriate to build a new tool from scratch. I haven't been actively using InvestorsExchange.jl a…
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My main motivation was that I wanted to be able to drill down and filter across all the available stocks, look at the data for myself, and narrow down on the stocks I am interested based on my own sets of criteria, and make data-driven analysis for my personal investment strategies. I used PostgreSQL as the backend database for ELT data pipelines, and used Citus Data cstore_fdw for columnar compression for the final dataset. All financial data is coming from SEC Edgar, https://www.sec.gov/developer. I used Python for downloading most of the data. I also run the data load…
2023 · tesseractanalytics.ai
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2022 · github.com
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2018 · github.com
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2021 · styvio.com
- 6QI
2017 · quantra.io
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Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is lagged (median 28 days from trade to disclosure, and 19% miss this deadline), but there's still interesting patterns to explore. Repo: https://github.com/kadoa-org/congress-trading-monitor Let me know if you have any suggestions for improvements!
May 2026 · congress.kadoa.com
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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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The qmrExchange project is an open-source financial markets exchange simulator that realistically mimics all the main components of modern trading venues. It allows us to test and quantify the behavior of different agents in a laboratory and isolated environment without the high noise-to-signal ratio that is otherwise unavoidable in live settings. By creating a completely functioning trading venue whose access is only granted to a finite and known number of agents or trading algorithms, qmrExchange enables analyzing causation and quantifying the impact of each agent in a way that is…
2022 · github.com
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2024 · github.com
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Finished my trading infrastructure project over the weekend - it’s called FLOX. Built in pure C++ (uses C++20 features), it’s a modular framework for building HFT systems, trading infra, market data feeds, or even something like a TradingView clone. Everything is open source: https://github.com/eeiaao/flox Docs: https://eeiaao.github.io/flox/ There are tests and benchmarks to keep it stable. Might add JS engine support later for scripting strategies. Open to feedback and contributions.
2025 · github.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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Realistic market data for trading UIs — zero API keys
May 2026 · tradesim.dev
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2015 · pizzacharts.com
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2022 · github.com
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I built TradeSight (https://tradesight.live) as a lightweight market risk indicator that combines real-time data with AI insights. The backend is written in Rust, with a vanilla JS frontend for maximum performance. It aggregates data from multiple sources (FRED API, Yahoo Finance) and uses Claude's API to provide detailed market analysis. Technical stack: - No login required - static page with hourly updates - Rust backend for efficient data aggregation - Vanilla JavaScript frontend for minimal overhead - Claude API integration for real-time market analysis - Data sources: FRED…
2024 · tradesight.live
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2019 · github.com
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In depth Stock Research, Stock signals and news alerts
Jul 2026 · apps.apple.com
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