Opportunities › Open-source financial data API alternative › Proposed app
Steadyquote
Dependable market data API for traders and finance app developers
- Score
- 36
- confidence 57
- Evidence
- 5
- items on the page
- Rivals
- 2
- named in sources
- First version
- 45 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2017
- Established market · AI estimate
ScreensConcept
Desktop app: Traders and developers query financial data, inspect API responses, and analyze statements while building or trading at their desks. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
Status
All systems running99.9%
About this appAI proposal
Steadyquote is an open-source financial data API with a managed option. It serves stock prices, financial statements, earnings call transcripts and stock news through one consistent interface. You can self-host it for free or let us run it.
It is built for developers and quant traders who make AI trading systems, earnings analysis tools and finance apps, and who are tired of scrapers that break without warning. Each response says where the data came from and when it was last checked.
The difference is reliability you can see. A public status page, versioned responses and clear failure messages replace silent gaps. Statements can be split by geography and product, and you are never locked in because you can host it yourself.
- Tagline
- Market data that stays up and shows its sources.
- Voice
- PlainDependablePrecise
- Why this name
- Steady names the promise, reliability, and quote names the product: market data. Two plain words joined, easy to say and spell.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Prices, statements, transcripts, news
One API covers stock prices, financial statements, earnings call transcripts and stock news, so you stop stitching sources together.
No member yet
Segment-level statements
Get revenue and results broken out by geography and product line where companies report them.
No member yet
Self-host or managed
Run the open-source server on your own machine, or use the managed service with higher limits and support.
No member yet
Source and freshness on every response
Each record carries its source and last-checked time, so your system can tell stale data from fresh.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#0F5E4DDeep Pine · primary#F6F3ECPaper · surface#1B2A2FInk · text#D9822BAmber · accent#2F6DB5Harbor Blue · data
Typography
Aa
Steadyquote
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Market data that stays up and shows its sources.
PricingAI proposal
Based on Yahoo Finance's verified pricing page: a free plan and three paid plans from $95.40 to $479.40 a year. Pro and Team sit just inside that range as a starting point to test.
Self-hosted
Free
- Open-source server
- Run it on your own machine
- Community support
Pro
$89 a year
- Managed hosting
- Higher rate limits
- Status alerts
- Email support
Team
$399 a year
- Highest rate limits
- Several API keys
- Commercial support
- Usage reports
Would you pay Pro · $89 a year?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Partners and integrations. Open-source code on GitHub, plus client libraries and migration guides for Python and JavaScript, place Steadyquote where developers already look when their current data library breaks.
- Do they become customers?
- Developers who find the repo are the buyers, so reach is acquisition. Test whether self-hosters upgrade to managed hosting, and whether they pay for limits and support.
- First customers
- Solo quant traders and small teams building AI trading or earnings analysis tools in Python, who currently depend on Yahoo Finance libraries.
- Where to reach them
- GitHub: Publish a drop-in guide for moving from yfinance and answer issues in related repositories.
- Quant and algo trading forums: Share a public status page and reliability comparison with real logs, and invite people to test it.
- Hugging Face: Release sample earnings transcript datasets that link to the API for fresh data.
- First milestone
- Twenty self-hosting teams in use and five paying for managed Pro within 90 days of launch.
Why people already pay for this
- VerifiedGitHub repository gained 764 stars in 549 days
- Public claimAn open-source alternative to Yahoo Finance's market data APIs is being built
- Public claimExisting Yahoo Finance APIs are unreliable
- Public claimThere is developer demand for AI trading and earnings analysis tools
- Verified
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Data ingestion workersScheduled job runner with queuePulls and refreshes market data on a schedule, outside the web app.
- This app · Time-series storagePostgres time-series extension or columnar storePrice history grows fast and needs quick range queries.
RisksAI inference
- DataReliable data needs sources we may redistribute. Scraping repeats the fragility users complain about, and licensed feeds cost money.
- RegulatoryExchange and vendor licences may restrict redistribution, real-time data and commercial use. Terms must be checked before launch.
- CommercialDevelopers may stay with free libraries, and open-source users may never pay. Managed tiers must clearly beat self-hosting.
- TechnicalMatching Yahoo Finance's breadth of tickers, history and fields takes time, and gaps may block migration.
- Intellectual propertyEarnings transcripts may be copyrighted. Open datasets need their licence checked before they are served commercially.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.