# Alternative Data Explained

> Alternative data is non traditional information like card spending, web traffic and satellite images. Learn the main types, how funds use it and the risks.

Source: https://learn.tradelabsai.com/alternative-data/alternative-data-explained/  
Track: Data and Alternative Data · Level: Advanced · Updated: 2026-10-03  
Publisher: TradeLabs AI (https://tradelabsai.com). Education, not financial advice.  
Cite as: TradeLabs Learn, "Alternative Data Explained", https://learn.tradelabsai.com/alternative-data/alternative-data-explained/

Alternative data is information about companies, industries or economies that comes from outside traditional sources such as financial statements, market prices and official statistics. Examples include aggregated credit card transactions, website traffic, app downloads, satellite images of parking lots, shipping records and job postings. Hedge funds and quantitative firms use alternative data to estimate results before companies report them or to track economic trends in real time. The industry has grown rapidly, but so have the costs, legal questions and competition.

## Main categories

| Category | Examples | Lesson |
|---|---|---|
| Transaction data | Aggregated card spending, receipts, invoices | [Credit Card and Consumer Spending Data](https://learn.tradelabsai.com/alternative-data/credit-card-data/) |
| Web and app data | Website visits, search trends, app downloads and usage | [Web Traffic, App Downloads and Search Trends](https://learn.tradelabsai.com/alternative-data/web-traffic-data/) |
| Geospatial data | Satellite images, foot traffic from phone location data | [Satellite, Foot Traffic and Geolocation Data](https://learn.tradelabsai.com/alternative-data/satellite-data/) |
| Supply chain and trade | Shipping manifests, vessel tracking, customs records | [Shipping and Supply Chain Data](https://learn.tradelabsai.com/alternative-data/shipping-and-supply-chain-data/) |
| Labour data | Job postings, employee reviews, hiring trends | [Job Postings Data](https://learn.tradelabsai.com/alternative-data/job-postings-data/) |
| Text and sentiment | News, social media, earnings call transcripts | [Social and News Sentiment](https://learn.tradelabsai.com/alternative-data/social-and-news-sentiment/) |
| Weather and environment | Forecasts, crop conditions, emissions | [Weather and Agricultural Data](https://learn.tradelabsai.com/alternative-data/weather-and-agricultural-data/) |

## Why investors use it

- **Earlier information:** estimate a retailer's quarterly sales weeks before it reports.
- **Higher frequency:** daily or weekly data instead of quarterly reports.
- **Independent verification:** check management claims against outside evidence.
- **Macro nowcasting:** track the economy faster than official statistics. See [GDP](https://learn.tradelabsai.com/macro/gdp/).

**Example: Estimating sales before earnings**
A fund buys aggregated, anonymised card spending data covering millions of US consumers. Through the quarter, spending at a restaurant chain runs 9% above last year, while analysts expect 4% same store sales growth. Adjusting for the panel's biases, the fund estimates sales growth near 7% and buys shares before the report. If the company reports 7.5% growth and raises guidance, the trade pays off. If the panel misrepresented the chain's customers, it may not. See [Analyst Estimates, Surprises and Whisper Numbers](https://learn.tradelabsai.com/fundamentals/earnings-surprises/).

## The alternative data workflow

1. **Source and evaluate datasets:** coverage, history, frequency, cost.
2. **Legal and compliance review:** privacy, licensing and material non public information.
3. **Clean and map:** link data to companies and tickers, handle gaps and bias. See [Cleaning Market Data](https://learn.tradelabsai.com/programming/cleaning-market-data/).
4. **Test predictive power:** does the data predict reported results or returns, out of sample? See [Signal Discovery](https://learn.tradelabsai.com/research/signal-discovery/) and [In-Sample vs Out-of-Sample Testing](https://learn.tradelabsai.com/research/out-of-sample-testing/).
5. **Integrate into models** or research processes.
6. **Monitor decay** as more firms buy the same data. See [Signal and Alpha Decay](https://learn.tradelabsai.com/research/signal-and-alpha-decay/).

## Costs

Datasets can cost from a few thousand to over a million dollars a year. Add the costs of data engineers, storage and analysts. Large funds can afford many datasets; smaller traders typically use cheaper or free sources such as search trends, public filings and app rankings.

## Legal and ethical issues

| Issue | Concern |
|---|---|
| Personal data and privacy | Data must be anonymised and comply with laws such as the EU's GDPR and US state privacy laws |
| Web scraping | Terms of service, copyright and computer access laws |
| Material non public information | Data obtained in breach of a duty of confidentiality can create insider trading risk. See [Insider Trading](https://learn.tradelabsai.com/industry/insider-trading/) |
| Consent | Whether individuals knowingly agreed to data use |

Regulators, including the SEC, have scrutinised how funds obtain and use alternative data.

## Limits and risks

- **Bias:** panels may not represent the whole population.
- **Short histories:** many datasets cover only a few years, limiting testing.
- **Overfitting:** testing many datasets increases false discoveries. See [P-Hacking and Multiple Testing](https://learn.tradelabsai.com/research/p-hacking-and-multiple-testing/).
- **Crowding:** once many funds use a dataset, its edge shrinks.
- **Changes in the data source:** a vendor's methodology or panel can shift suddenly.

## Frequently asked questions

### What is alternative data?

Information from non traditional sources, such as card transactions, web traffic, satellite images or job postings, used to gain insight into companies and economies.

### How do hedge funds use alternative data?

To estimate company results before they are reported, track trends in real time and verify management claims.

### Is alternative data legal?

Generally yes, if it is properly sourced, anonymised and does not involve material non public information obtained in breach of a duty.

Next, look at spending data in [Credit Card and Consumer Spending Data](https://learn.tradelabsai.com/alternative-data/credit-card-data/).

## Continue learning

- Next lesson: [Credit Card and Consumer Spending Data](https://learn.tradelabsai.com/alternative-data/credit-card-data/)
- Previous lesson: [Sentiment Data](https://learn.tradelabsai.com/alternative-data/sentiment-data/)
- Related: [Sentiment Data](https://learn.tradelabsai.com/alternative-data/sentiment-data/): Sentiment data measures how optimistic or fearful investors are. Learn survey, positioning, options and crypto sentiment indicators and how to use them.
- Related: [Credit Card and Consumer Spending Data](https://learn.tradelabsai.com/alternative-data/credit-card-data/): Aggregated card and receipt data track consumer spending in near real time. Learn how it is collected, how investors forecast sales with it and its limits.
- Related: [Web Traffic, App Downloads and Search Trends](https://learn.tradelabsai.com/alternative-data/web-traffic-data/): Website visits, search trends and app downloads offer early signals of demand. Learn the main data sources, how investors use them, free tools and the pitfalls.
- Related: [Satellite, Foot Traffic and Geolocation Data](https://learn.tradelabsai.com/alternative-data/satellite-data/): Satellite imagery tracks economic activity from space, from retail parking lots to oil storage and crops. Learn how investors use it, the research and the limits.
- Related: [Signal Discovery](https://learn.tradelabsai.com/research/signal-discovery/): Signal discovery is the search for variables that predict returns. Learn where ideas come from, how to test signals with information coefficients and decay curves.
- Related: [Signal and Alpha Decay](https://learn.tradelabsai.com/research/signal-and-alpha-decay/): Signal decay is how fast a signal's predictive power fades; alpha decay is how edges shrink over years. Learn both, the evidence and how traders adapt.