AI · alternatives · 2026
24 alternatives to ValueAgent
AI agents read the 10-K so you don't have to
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Autonomous▲64Superintelligent financial advisor at 0% advisory fees
Jan 2026 · becomeautonomous.com · its alternatives →
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We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started. Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions. Key Features: - Comprehensive…
2024 · decodeinvesting.com · its alternatives →
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5/6 · The workflow of a professional quant trading firm.
2016 · soundcloud.com · its alternatives →
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A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…
2025 · github.com · its alternatives →
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Uncover Hidden Insights, Invest with Confidence
Jul 2026 · knowyourcompany.ai · its alternatives →
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A big part of the workflow of investors in individual stocks is doing research and due diligence on companies. Without proper and thorough due diligence an investor may be flying blind in their investment decisions. Due diligence is so time consuming and tedious, many investors don't do it. Doing due diligence involves reading a lot of documents (10Ks, 10Qs, 8Ks, earnings call transcripts, etc.) and analyzing years of financial statements. You also need to research key executives - their biographies, compensation, tenure, etc. Analyzing this amount of information leaves room for missing key…
2025 · agents.decodeinvesting.com · its alternatives →
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com · its alternatives →
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Professional-grade stock investing, simplified with AI.
Mar 2026 · accountable.finance · its alternatives →
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Democratizing stock research with simplicity and AI
Jan 2026 · tickerbell.com · its alternatives →
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I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req/day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7/10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…
Mar 2026 · its alternatives →
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For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street
Jun 2026 · github.com · its alternatives →
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Fully automated analysis of company 10K/10Q reports using AI
2025 · its alternatives →
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7 AI agents write sourced market reports in 15 minutes
Jul 2026 · raportagent.com · its alternatives →
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Buffett, Munger, Klarman & Marks. One verdict per ticker.
Aug 2026 · aiberkshire.onrender.com · its alternatives →
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com · its alternatives →
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Sperio▲1An AI board of 8 agents that debates every S&P 500 stock
Aug 2026 · sperio.ai · its alternatives →
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Supercharge your investing
Nov 2025 · aivestor.tech · its alternatives →
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Vester▲10Claude Code for Investing. Level up your Portfolio
Mar 2026 · vesterai.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →