The Quandl Alternative
Quandl became Nasdaq Data Link and the free datasets developers relied on — like WIKI/PRICES — were retired. Eulerpool gives you stocks, fundamentals and macro again, with a free tier.
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Why you're here
The free WIKI/PRICES end-of-day dataset was discontinued in 2018, and after Quandl merged into Nasdaq Data Link many free feeds disappeared or moved behind premium plans. If your code calls quandl.get(...) or data.nasdaq.com/api/v3, this maps the common datasets to Eulerpool.
Dataset migration map
| Quandl / Nasdaq Data Link | Eulerpool equivalent |
|---|---|
| WIKI/PRICES (EOD, retired) | client.equity.candles(isin) |
| quandl.get("WIKI/{sym}") | client.equity.candles(isin) |
| SF1 / fundamentals | client.equity.incomeStatement(isin) · balanceSheet · cashFlowStatement |
| FRED/{series} via Quandl | client.macro.fredSeries(id) · fredObservations(id) |
| ECB / economic datasets | client.macro.ecbSeries · ecbObservations · worldbankSeries |
| CUR / FX rates | client.forex.rates(base) |
| Sharadar SEP / SF1 | client.equity.candles · fundamentalsQuarterly |
| datatables / bulk download | client.market.quotesBulk() · client.screener.universe() |
Resolve any ticker to an ISIN with client.equity.search("AAPL").
Before & after
import quandl
# WIKI/PRICES discontinued
df = quandl.get("WIKI/AAPL")import eulerpool
client = eulerpool.Eulerpool("YOUR_API_KEY")
candles = client.equity.candles("US0378331005") # AAPL EODWhat you gain by switching
Free tier restored
1,000 calls/month free — the free EOD data Quandl removed, back again.
Equities + macro in one
Stocks, fundamentals, FX and macro (FRED/ECB/IMF/World Bank) under one API.
Point-in-time history
100+ years of fundamentals without survivorship bias, for clean backtests.
SDKs + MCP
Official Python/JS/Go SDKs and a native MCP server for AI agents.
Quandl migration FAQ
“Eulerpool replaced three legacy data subscriptions in our equity research workflow. Migration took two days.”
“Point-in-time data quality rivals CRSP at a fraction of the cost. We run all backtests on Eulerpool now.”
“We migrated our entire data pipeline in 48 hours. The API is the cleanest I have worked with in finance.”