Algorithmic scoring
Multi-factor models that rate stocks on one comparable scale from 0 to 100, so very different companies can be judged side by side.
Where market data converges.
Financial Singularity builds quantitative market intelligence: algorithms that turn the flood of prices, fundamentals and estimates into clear, comparable signals about individual stocks.
Thousands of numbers. One place to start.
Every listed company produces a constant stream of data: prices, valuations, analyst targets, returns. For anyone trying to understand a stock, most of it is noise.
A singularity is the point where everything converges. Financial Singularity applies that idea to the market. Many inputs go in, one comparable score comes out, and the strongest companies rise to the top on their numbers alone.
- Quantitative first
- Scores come from an algorithm applied the same way to every stock, not from headlines or hunches.
- Numbers in the open
- Every score sits next to the fundamentals behind it, so you can judge the result yourself.
- Built for speed
- Data is served from Cloudflare's edge network, close to wherever you are.
- Research, not advice
- Scores are a starting point for your own analysis, never a call to buy or sell.
What we work on
Four disciplines that turn raw market data into something you can use.
Fundamental data
Valuations, analyst targets and returns, gathered and lined up so every company is described in the same terms.
Clear presentation
Scores, numbers and price charts on a single screen, in light or dark, on any device.
Edge infrastructure
Results published to Cloudflare's global network, so the latest data loads quickly wherever it's opened.
The numbers behind every score
The measures we pair with each stock, and what they tell you.
- Algorithmic score
- Financial Singularity's own rating from 0 to 100. It compares each stock with the others across the algorithm's factors. Higher is stronger.
- Market cap
- Share price multiplied by shares outstanding. It's the market's total price tag for the company and a quick read on its size.
- P/E ratio
- Share price divided by the last 12 months of earnings per share. It shows how much investors are paying for each dollar the company earned.
- Forward P/E
- The same ratio using analysts' estimates of next year's earnings. When it's lower than the trailing P/E, earnings are expected to grow.
- Target price
- Analysts' consensus price target for the stock, usually looking 12 months ahead.
- 1-year return
- How much the share price has risen or fallen over the past year.
From raw data to a signal
Three steps, applied the same way to every stock.
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Gather
Market and fundamental data are collected for every stock the algorithm covers.
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Score
A multi-factor algorithm weighs those inputs into a single, comparable score from 0 to 100.
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Publish
The results are ranked and published to the edge, ready to explore.
Who it's for
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Investors doing their own research
Cut a market of thousands of stocks down to the few worth a closer look, then check the numbers before going further.
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Learners
See how valuations, analyst targets and returns compare across companies, explained in plain terms.
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Long-term thinkers
Step back from the daily noise and see which companies hold up across many measures at once.
Questions
What is Financial Singularity?
A quantitative market-intelligence project. It uses algorithms to score stocks across multiple factors and pairs every score with the fundamentals behind it.
Why the name?
A singularity is a point where everything converges. Here, it's the point where a stock's many data points converge into one score you can compare.
What does the score mean?
It's a relative rank index. A higher score means a stock looks stronger across the algorithm's factors than the others it's compared with. Treat it as a starting point for research, not a signal to buy or sell.
Where does the data come from?
Scores and fundamentals are served by a Cloudflare Worker. Price charts are provided by TradingView.
Is this investment advice?
No. Financial Singularity is an informational resource. Scores are produced by an algorithm and can be wrong. Do your own research, or talk to a licensed financial advisor, before making investment decisions.
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